<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN" "JATS-archivearticle1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties open_access?><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8101110</journal-id><journal-id journal-id-type="pubmed-jr-id">429</journal-id><journal-id journal-id-type="nlm-ta">Am J Ind Med</journal-id><journal-id journal-id-type="iso-abbrev">Am J Ind Med</journal-id><journal-title-group><journal-title>American journal of industrial medicine</journal-title></journal-title-group><issn pub-type="ppub">0271-3586</issn><issn pub-type="epub">1097-0274</issn></journal-meta><article-meta><article-id pub-id-type="pmid">38884609</article-id><article-id pub-id-type="pmc">11256902</article-id><article-id pub-id-type="doi">10.1002/ajim.23625</article-id><article-id pub-id-type="manuscript">HHSPA2005920</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>The impact of alternative arrangements, contingent jobs, and work secured through an app on the well-being of working age adults: Results from the California Work and Health Survey</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Yelin</surname><given-names>Edward</given-names></name><degrees>PhD</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Trupin</surname><given-names>Laura</given-names></name><degrees>MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Iley</surname><given-names>Trisha</given-names></name><degrees>AB</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Rhee</surname><given-names>Nari</given-names></name><degrees>PhD</degrees><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Lafrance</surname><given-names>Alicia</given-names></name><degrees>MPH, MSW</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Mac</surname><given-names>Ima Varghese</given-names></name><degrees>AB</degrees><xref rid="A1" ref-type="aff">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Philip R Lee Institute for Health Policy Studies, UCSF, San Francisco, California, USA</aff><aff id="A2"><label>2</label>Center for Labor Research and Education, UC, Berkeley, California, USA</aff><author-notes><fn fn-type="con" id="FN1"><p id="P1">AUTHOR CONTRIBUTIONS</p><p id="P2"><italic toggle="yes">Data collection</italic>: Edward Yelin, Laura Trupin, and Nari Rhee. <italic toggle="yes">Study conception and design</italic>: Edward Yelin, Laura Trupin, Nari Rhee, Ima Varghese Mac, Trisha Iley, and Alicia Lafrance. <italic toggle="yes">Analysis of data</italic>: Edward Yelin, Trisha Iley, Laura Trupin, Ima Varghese Mac, Nari Rhee, and Alicia Lafrance. <italic toggle="yes">Manuscript preparation</italic>: Edward Yelin, Trisha Iley, Laura Trupin, Ima Varghese Mac, Nari Rhee, and Alicia Lafrance.</p></fn><corresp id="CR1"><bold>Correspondence</bold>: Dr. Edward Yelin, PhD, 490 Illinois St, 7th Floor, San Francisco, CA 94143-0936, USA. <email>ed.yelin@ucsf.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>11</day><month>7</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>8</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>17</day><month>6</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>8</month><year>2024</year></pub-date><volume>67</volume><issue>8</issue><fpage>753</fpage><lpage>763</lpage><permissions><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open access article under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution</ext-link> License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P3">There is recognition of the growing prevalence of alternative work arrangements, contingent jobs, and work secured through an app. However, there have been few systematic efforts to understand the impact of these forms of work on individuals and households.</p></sec><sec id="S2"><title>Methods:</title><p id="P4">The data derive from the California Work and Health Survey administered to a sample of the working age population of the state solicited through random-digit dialing of cell phone numbers. 4014 individuals completed the survey, 26% of those with an in-service cell phone number. We present odds ratios and 95% confidence intervals from logistic regression estimating the impact of being an independent contractor, in other forms of alternative work arrangements, in contingent jobs, and in work secured through an app, on economic and health status and working conditions in main jobs, with and without adjustment for covariates.</p></sec><sec id="S3"><title>Results:</title><p id="P5">Several of the forms of work analyzed are associated with lower earnings and higher rates of wage theft, household poverty, benefit recipiency, and expectation of hardships in food, housing, and medical care in the immediate future. Association between the forms of work and current health status is less consistent. However, several forms of work are associated with working conditions known to be risk factors for subsequent health problems.</p></sec><sec id="S4"><title>Conclusions:</title><p id="P6">Public policy to mitigate the adverse impacts of work, largely developed in the 20th Century when there was an identified workplace, may be insufficient to protect workers&#x02019; well-being for alternative work arrangements, contingent jobs, and work secured through an app.</p></sec></abstract><kwd-group><kwd>alternative employment arrangements</kwd><kwd>appbased work</kwd><kwd>contingent employment</kwd><kwd>impacts on economic and health status and working conditions</kwd></kwd-group></article-meta></front><body><sec id="S5"><label>1 |</label><title>INTRODUCTION</title><p id="P7">The impact of forms of work, spanning alternative work arrangements, contingent jobs, and work secured through an app have become an important focus of public concern.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Part of the concern has been about the magnitude of these forms, specifically whether they are growing at the expense of more traditional employment in which the worker is formally hired by the firm for which the work is done on a more permanent basis.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> Part, too, is due to the growing visibility of task- and project-based work secured through apps that connect workers to customers.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref></sup></p><p id="P8">While trends in the magnitude of alternative work arrangements are subject to debate,<sup><xref rid="R5" ref-type="bibr">5</xref>&#x02013;<xref rid="R8" ref-type="bibr">8</xref></sup> another issue is the impact of these arrangements on the well-being of the workers and their families in a range of domains, including economic sufficiency and worker health and safety.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R9" ref-type="bibr">9</xref>&#x02013;<xref rid="R14" ref-type="bibr">14</xref></sup> The lack of a permanent relationship between workers and firms also severs one avenue of career mobility, the internal labor market of the firm itself. The effects of alternative work arrangements, contingent jobs, and work secured through an app may also burden government at all levels tasked with ensuring access to safe work - difficult when there is no on-going relationship between worker and firm- often with no identified workplace; providing a safety net of health insurance through such mechanisms as Medicaid and the Affordable Care Act; and providing income support through such mechanisms as the Earned Income Tax Credit and the Supplemental Nutrition Assistance Program. Indeed, more than almost any other nation, our system of income and health security is tied to the provision of benefits through employment. This system may not serve workers who are not formally or permanently hired to do work.<sup><xref rid="R15" ref-type="bibr">15</xref></sup></p><p id="P9">The use of alternative work arrangements, contingent jobs, and work secured through an app is increasingly understood in the context of larger corporate strategies to reduce exposure of the firm to the cost of labor, labeled the <italic toggle="yes">fissuring of work</italic>,<sup><xref rid="R16" ref-type="bibr">16</xref></sup> and to shift the risks to workers and their families.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> The use of these overarching strategies may grow even if the use of some of their specific aspects, like the use of alternative work arrangements, does not.</p><p id="P10">The present study is designed to provide estimates of the impact of several forms of work, including alternative ways of hiring, contingent jobs, and app-based work, on economic well-being of individuals and households, their health status, and on-the-job exposures.</p></sec><sec id="S6"><label>2 |</label><title>METHODS</title><p id="P11">The data presented below are from the California Work and Health Survey (CWHS). The CWHS is designed to provide a comprehensive picture of the employment situation and health status of a random sample of the working age (18&#x02013;70 years) population of the state,. Although it emulates the methods and many of the measures of the Census Bureau&#x02019;s Contingent and Alternative Work Supplement to the Current Population Survey,<sup><xref rid="R18" ref-type="bibr">18</xref></sup> it expands the scope of the labor market data to include both main and secondary jobs and the time-frame of data capture to incorporate both the week and month before interview, reflecting suggestions for improving estimates of these forms of employment.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> Sampling for the CWHS was accomplished by random digit dialing from listings of contract and pre-paid cell phone numbers. After contact was made, respondents could choose to be interviewed by a survey interviewer or complete an online version. Both interviewer and self-administered versions were available in English and Spanish. Data collection was completed between November 2022 and May 2023. A total of 4014 persons completed the survey, representing 26% of those successfully contacted. At the conclusion of the data collection, sample adjustment weights were developed<sup><xref rid="R19" ref-type="bibr">19</xref></sup> based on the population estimates of demographic characteristic, geography, and socioeconomic status of the population of California adults ages 18&#x02013;70 from the Census Bureau&#x02019;s 2021 American Community Survey.<sup><xref rid="R20" ref-type="bibr">20</xref></sup> After collecting information on the employment status of respondents in the week and month before interview, the CWHS asked about the presence of alternative, contingent, and app-based work in main and second jobs, working conditions in those jobs, current health status, economic well-being, assessment of economic strain, receipt of public and private benefits, and standard demographic variables. The present study is limited to the effect of characteristics of main jobs.</p><p id="P12">A methods compendium with greater detail on sampling, weighting, and content of the survey may be found at the CWHS website: <ext-link xlink:href="http://calaborlab.ucsf.edu/cwhs" ext-link-type="uri">calaborlab.ucsf.edu/cwhs</ext-link>.</p><p id="P13">The data collection protocol, including consent at the time of survey administration, was approved by the UCSF Institutional Review Board.</p><sec id="S7"><label>2.1 |</label><title>Analyses</title><p id="P14">We use logistic regression to estimate the impact of four forms of employment on economic outcomes, health status, and working conditions in the main job, with and without covariates which may confound the relationship between the nature of work and the outcomes. The four forms include independent contracting, the most common of the alternative ways people are engaged to do work; a variable for the other three kinds of alternative employment (hereafter: &#x0201c;other alt work&#x0201d;) including on-call work, being hired by a temporary agency, and having one&#x02019;s work subcontracted out; contingent employment, defined as expecting a job held for less than a year to last less than a year into the future; and work secured through an app. Many of the working conditions included as outcomes are known risk factors for subsequent occupational health events, for example, irregular shifts, high levels of ergonomic demands, and jobs with high demands and low levels of control.<sup><xref rid="R21" ref-type="bibr">21</xref>&#x02013;<xref rid="R28" ref-type="bibr">28</xref></sup></p><p id="P15">The covariates in the adjusted models include age, gender, race/ethnicity, marital status, household size, education level, occupations, occupational tenure, industries, and job tenure.</p><p id="P16">We present odds ratios and 95% confidence intervals for the effect of the four forms of work on the economic outcomes, measures of health status, and each sentinel working condition.</p><p id="P17">As a sensitivity analysis, we disaggregated independent contractors into two groups, the self-employed and those deemed wage- and salary-independent contractors, by indicating that they worked for someone else as an independent contractor, freelance, or consultant, including but not limited to a business or farm that they own. We also disaggregated other forms of alternative work into on-call workers, those hired by a temp agency, or those reporting their work was subcontracted out. As these results did not differ substantially from the results reported below, to simplify the presentation, we show the results only for the principal analysis using the aggregated versions of independent contractors and other forms of alternative work. The results of the sensitivity analysis are available from the CWHS website: <ext-link xlink:href="https://calaborlab.ucsf.edu/file/sensitivity-analyses-impact-forms-workxlsx-0" ext-link-type="uri">https://calaborlab.ucsf.edu/file/sensitivity-analyses-impact-forms-workxlsx-0</ext-link>.</p></sec></sec><sec id="S8"><label>3 |</label><title>RESULTS</title><p id="P18"><xref rid="T1" ref-type="table">Table 1</xref> shows the employment status of working age Californians (18&#x02013;70 years of age) and, among those employed, those who are independent contractors, in other forms of alternative work, in contingent jobs, and in app-based work, by demographic characteristics. In the month before survey, 70.8% of working-age Californians were employed. Among the employed (Column 1), 16.6% were independent contractors, 10.7% were in other forms of alternative work, 5.6% were in contingent jobs, and 6.1% reported app-based work. Employment rates peaked among those 30&#x02013;39, were higher among males, non-Hispanic Whites and Asian or Pacific Islanders, and rose substantially with each increment of educational level.</p><p id="P19">Columns two through four show the distribution of the forms of work by demographic characteristics. Being an independent contractor was more common among those 65&#x02013;70 and among persons with lower levels of educational attainment. In contrast, other forms of alternative work were more common among younger workers. The latter forms of work were more common among members of minority groups than among non-Hispanic Whites, those who were never married, and among those with a high school education or less. Contingent employment was also more common among younger workers, members of minority groups, and those with lower levels of education. App-based work occurred more frequently among younger workers and was extremely uncommon among the oldest age group of workers and among those with graduate training.</p><p id="P20"><xref rid="T2" ref-type="table">Tables 2</xref>&#x02013;<xref rid="T4" ref-type="table">4</xref> show the results of the analysis of the effects of forms of work on economic outcomes, health status, and working conditions, respectively. On an unadjusted basis, all the forms of work analyzed when compared to persons not in these forms are associated with earnings at or below $40,000/year, approximately the estimate of a living wage for a single person with no children in California.<sup><xref rid="R29" ref-type="bibr">29</xref></sup> After adjusting for potential confounders, all but those in other alt work also are more likely to have earnings at or below this level (<xref rid="T2" ref-type="table">Table 2</xref>). Reported wage theft is more likely among those in all forms of work analyzed, with the exception that, on an adjusted basis, those in app-based work are not significantly more likely to report this. As a result of having less access to health insurance through work, those who are independent contractors, in other alt work, and in contingent jobs are less likely to have health insurance when interviewed and at any point in the prior year. For independent contractors, this result holds after adjustment.</p><p id="P21">Turning to household economic well-being, the second set of rows in <xref rid="T2" ref-type="table">Table 2</xref>, those in each of the four forms of work analyzed are more likely to have household incomes at or below 125% of the Federal poverty level even though those in independent contracting, other alt work, and contingent employment are more likely to have other sources of income beyond their own earnings. Before adjustment, those in each of the forms of work report difficulty living on their current household income; this was true for all but those in independent contracting after adjustment, too. In dealing with problems in the immediate future, on an unadjusted basis, those in contingent jobs and in work secured through an app report that they cannot sustain an emergency expense of $400, while those in other alt work, in contingent jobs, and app-based work indicate that they expect actual hardships in food, housing, and medical care in the ensuing 2 months after interview. The latter situation is true for those in contingent jobs and app-based work even after adjustment. The CWHS collected information about receipt of several kinds of income transfer programs. With adjustment, those who are in the categories of independent contractors, other alt work, and app-based employment are more likely to receive public or private disability compensation. Independent contractors, contingent workers, and those in app-based employment are also more likely to report receiving Supplemental Nutrition Assistance Program (SNAP) benefits or using a food bank in the year before interview.</p><p id="P22">The forms of work analyzed are less consistently related to health status than to economic well-being (<xref rid="T3" ref-type="table">Table 3</xref>). Contingent employment does appear to be related to mental health status, to high levels of perceived stress and to high levels of pain, while forms of alternative work other than independent contracting may be related to experiencing numbness, to high levels of alcohol consumption, and to on-the-job injuries in the year before interview. The long latency period in many symptoms and specific chronic diseases may make it hard to detect health impacts of the forms of work we analyzed, since these kinds of jobs are often held for relatively short tenures.</p><p id="P23">Long latency in health problems is why epidemiologists often focus on measures of heightened risk for the future development of symptoms and diseases, in the case of occupational health this means the patterning of working conditions. <xref rid="T4" ref-type="table">Table 4</xref> portrays the relationship of the forms of work analyzed to working conditions, some, as noted above, with known etiological connections to health status.<sup><xref rid="R21" ref-type="bibr">21</xref>&#x02013;<xref rid="R28" ref-type="bibr">28</xref></sup></p><p id="P24">Several of these forms are proposed as a way of providing flexibility to workers in how they work. The results bear this out, with workers who are independent contractors and those in app-based work more likely to report having flexible work schedules. Having flexible work also may mean having irregular shifts, with those in all forms of work analyzed other than contingent jobs reporting irregular shifts. Similarly, those who are independent contractors and those in app-based employment are more likely to regularly work from home (the latter only after adjustment for covariates). High levels of ergonomic exposure subject workers to risk of musculoskeletal problems.<sup><xref rid="R26" ref-type="bibr">26</xref></sup> Independent contractors and those in other alt work are more likely to report high levels of ergonomic demands, as were those in app-based jobs on an unadjusted basis. Despite the trope about white collar work predominating among independent contractors,<sup><xref rid="R30" ref-type="bibr">30</xref></sup> they and, before adjustment, persons in other alt work and app-based work are less likely to report high levels of cognitive demands in their work. The combination of high work demands and low levels of control is a well-known risk factor for several diseases.<sup><xref rid="R25" ref-type="bibr">25</xref>&#x02013;<xref rid="R27" ref-type="bibr">27</xref></sup> Independent contractors are less likely to report such a risky combination, but those in other alt work and in contingent jobs are more likely to do so.</p><p id="P25">The CWHS included measures of interactions with coworkers, supervisors, and customers, including bullying and shows of respect. None of the forms of work analyzed are associated with bullying; those in other alt work are less likely to report respectful relationships on the job. On an unadjusted basis, contingent workers do as well. The CWHS queried about perceptions of levels of education necessary to do one&#x02019;s job. Only those in contingent work report higher levels of education than they deemed necessary to do their jobs and only before adjustment. Both independent contractors and those in contingent jobs are less likely to report that their jobs represented either a promotion within a job or a new, better job. Although answers may not reflect their current jobs, we asked CWHS respondents to report whether they experienced discrimination in employment over their careers, with those in contingent employment more likely to report experiencing it.</p><p id="P26">The relationship between the forms of work is most consistent for economic outcomes. <xref rid="F1" ref-type="fig">Figure 1</xref> uses a forest plot to highlight the magnitude of the effects of the forms of employment for the principal economic measures: earnings, wage theft, household poverty, economic strain, and benefit recipiency. Although the magnitude of the effects vary by the specific form of employment (e.g., the odds of reporting wage theft are greater for independent contractors than those in contingent jobs) each of the forms was associated with at least several of the economic outcomes, highlighting the effects on the individual and household as well as on society due to benefit recipiency.</p></sec><sec id="S9"><label>4 |</label><title>DISCUSSION</title><p id="P27">Although hardly as comprehensive as in many other developed nations, during the 20th Century the US developed a set of laws and regulations to protect workers from discrimination in hiring, promotion, and retention on the basis of race, ethnicity, gender, and disability status; to help them attain a minimum of economic security while employed through rights to organize, the establishment of a wage floor, and, more recently, mandating employment-based health insurance coverage; minimizing the economic impacts of work loss through unemployment insurance; minimizing the health risks of work through workers&#x02019; compensation and occupational health and safety; and maintaining a minimum standard of living in retirement through Social Security and Medicare.<sup><xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R14" ref-type="bibr">14</xref></sup></p><p id="P28">This system of protections was developed over roughly a century, starting with workers&#x02019; compensation in the first two decades of the last century, and culminating in the passage of the Affordable Care Act in 2010. With certain exceptions, such as the availability of Social Security to self-employed workers, the tie that binds these protections is that they assume that the worker is formally hired by the firm for which work is done. The ride-share driver may not attain a minimum wage when the costs of car ownership are factored in. The person shopping for and then delivering groceries may be at risk for musculoskeletal injuries, just as might the person stocking the shelves in a supermarket who was formally hired to do the work, but without the possibility of filing a workers&#x02019; compensation claim and without an Occupational and Health Safety Administration (OSHA) inspection to investigate the cause of the injury. While the system of protections for workers formally hired is hardly ironclad&#x02014;think about the fate of undocumented workers in dangerous factories&#x02014;workers who are not formally hired by the firm for whom the work is done have fewer protections. Although those in contingent jobs may be formally hired, they too may experience work exposures that adversely affect them after the job is completed. In California, the site of our study and the focus of the California Labor Laboratory, our Center funded by the National Institute for Occupational Safety and Health (NIOSH), there has been considerable legislative and regulatory ferment to try to mitigate the effects of being an independent contractor, having other forms of alternative work, or work secured through an app, principally through Assembly Bill 5 (AB5) which established legal criteria for determining whether, in fact, someone should be considered an employee rather than outside contractor. The effects of AB5 have been somewhat offset by the passage of Proposition 22 in which ride share and delivery companies sought to delimit the reach of AB5 while providing some protections in its stead.<sup><xref rid="R31" ref-type="bibr">31</xref></sup> As of this writing, the constitutionality of Proposition 22 is before the California Supreme Court. At the Federal level, a new regulation also seeks to mitigate the effects of this kind of work through regulation of the definition of independent contracting.<sup><xref rid="R32" ref-type="bibr">32</xref></sup></p><p id="P29">But what are the risks associated with alternative, contingent, and app-based work? The present study used a random sample of working age residents of California to document the effects of these forms of work on economic well-being, current health status, and working conditions, many of which are known risks for later health problems. There were strong associations of earnings at or below a living wage for a single individual and high reported frequency of wage theft. Indeed, on an unadjusted basis, 55% of independent contractors, 47% of those in other forms of alternative employment, 77% of those in contingent jobs, and 67% of those in app-based employment in their main jobs reported low earnings; even after adjustment, the analogous figures were 52%, 41%, 59%, and 52%, respectively in main jobs.</p><p id="P30">Almost tautologically, workers in alternative arrangements are less likely to have access to a pension or employment-based health insurance. The availability of Medicaid or ACA-related subsidies is insufficient to overcome the lack of employment-based insurance so that, for instance, independent contractors are significantly less likely to have had any health insurance in the year before interview, let alone currently.</p><p id="P31">Having other members of the household in the labor market is insufficient to overcome the effects of these forms of work on the economic well-being of the household; those in each of these forms of employment in their main jobs are more likely to have household incomes at or below 125 percent of the Federal poverty level. Not surprisingly, they are more likely to report difficulty in living on their current household incomes and those in contingent- or app-based work were more likely to state that they expected actual hardships in food, housing, or medical care in the 2 months subsequent to interview. Indeed, independent contractors, contingent workers, and those in app-based employment are also more likely to have received SNAP benefits or used a food bank in the prior year; contingent workers are also more likely to report being unhoused at the time of interview. All this suggests that beyond the economic impacts on the workers themselves as well as their households, some of the impacts are externalized to society as a whole.</p><p id="P32">For whatever reason, we did not observe as consistent a set of findings on the relationship of the forms of work analyzed to health status as to economic well-being. This may be because there are no consistent health effects or because of the long latency period for many health problems. To deal with the latter problem, we will be re-interviewing the respondents to the CWHS in another 2 years when health effects may come to light. Nevertheless, we did observe that those in contingent jobs experience a higher probability of reporting fair or poor mental health and high levels of perceived stress. This may indicate that the insecurity inherent in contingent jobs may exact a toll on mental health. It is also noteworthy that persons in other forms of alternative employment are at higher risk of on-the-job injuries, to receive medical treatment for them, and to report them to their employers. These effects may reflect a reduced surveillance of on-call workers, those in temp agency work, or whose labor is subcontracted out because the firm has less attachment to and perhaps investment in the well-being of workers brought on by these mechanisms.</p><p id="P33">Risk factor analysis of differences in working conditions may alert workers, healthcare providers, and policymakers to problems that may arise in the years to come. Risks identified here with known relationships to future health problems include those associated with irregular shifts, high levels of ergonomic demands, and, for those in several forms of work analyzed, the combination of high demands and low control. On the other hand, higher rates of flexible-hours work may protect independent contractors and app-based workers from some of the effects of the risky working conditions identified.</p><p id="P34">Although there may be some beneficial working conditions associated with the forms of work we analyze, on balance we identified a panoply of adverse effects, including a higher probability of low earnings and wage theft, poverty-level incomes for the household, certain forms of benefit recipiency, experience of financial hardship at the time of interview and expectation of severe hardship in the months to come.</p><p id="P35">The strategy of trying to bring more workers into the system of protections for formally-hired workers reflected in legislation like California&#x02019;s AB5 is an important initial strategy to sustain the well-being of the working age population.<sup><xref rid="R31" ref-type="bibr">31</xref></sup> However, it is insufficient because industries that stand to benefit from having more workers put in alternative arrangements, contingent jobs, or task- or project-based work secured through an app have the resources to fight the passage of such legislation or through the initiative process, as was done when they sponsored Proposition 22. It will be difficult to build a system of protections for workers with no permanent connection to a workplace and sometimes with no defined workplace, rendering the workers invisible, but this is not a reason not to try. As shown here, the workers themselves are experiencing the consequence of increases in alternative, contingent, and app-based work, but society at large is paying the costs through a range of programs spanning income transfers, SNAP benefits, provision of subsidized health insurance through the ACA or Medicaid, and the mitigation of health problems that may arise in the years to come. Data like those presented here can spark debate about how we can proceed to protect the welfare of our workforce when the firm no longer hires workers formally or permanently.</p></sec></body><back><ack id="S10"><title>ACKNOWLEDGMENTS</title><p id="P36">All authors are supported by the National Institute for Occupational Safety and Health (NIOSH) Cooperative Agreement U19 OHO12293.</p></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P37">CONFLICT OF INTEREST STATEMENT</p><p id="P38">The authors declare no conflicts of interest.</p></fn><fn id="FN3"><p id="P39">DISCLOSURE BY AJIM EDITOR OF RECORD</p><p id="P40">John Meyer declares that he has no conflict of interest in the review and publication decision regarding this article.</p></fn><fn id="FN4"><p id="P41">ETHICS STATEMENT</p><p id="P42">Protocol approved by UCSF IRB: Considered exempt survey research.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Howard</surname><given-names>J</given-names></name>. <article-title>Nonstandard work arrangements and worker health and safety</article-title>. <source>Am J Ind Med</source>. <year>2017</year>;<volume>60</volume>(<issue>1</issue>):<fpage>1</fpage>&#x02013;<lpage>10</lpage>.<pub-id pub-id-type="pmid">27779787</pub-id>
</mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="journal"><name><surname>Katz</surname><given-names>LF</given-names></name>, <name><surname>Krueger</surname><given-names>AB</given-names></name>. <article-title>The rise and nature of alternative work arrangements in the United States, 1995&#x02013;2015</article-title>. <source>ILR Review</source>. <year>2019</year>;<volume>72</volume>(<issue>2</issue>):<fpage>382</fpage>&#x02013;<lpage>416</lpage>.</mixed-citation></ref><ref id="R3"><label>3.</label><mixed-citation publication-type="journal"><name><surname>Hall</surname><given-names>JV</given-names></name>, <name><surname>Krueger</surname><given-names>AB</given-names></name>. <article-title>An analysis of the labor market for Uber&#x02019;s driver-partners in the United States</article-title>. <source>ILR Review</source>. <year>2018</year>;<volume>71</volume>(<issue>3</issue>):<fpage>705</fpage>&#x02013;<lpage>732</lpage>.</mixed-citation></ref><ref id="R4"><label>4.</label><mixed-citation publication-type="journal"><article-title>Electronically mediated work: new questions in the Contingent Worker Supplement to the Current Population Survey</article-title>. <source>Mon Labor Rev</source>. <year>2018</year>:<fpage>1</fpage>&#x02013;<lpage>32</lpage>.</mixed-citation></ref><ref id="R5"><label>5.</label><mixed-citation publication-type="book"><collab>National Academies of Sciences</collab>. <source>Measuring Alternative Work Arrangements for Research and Policy</source>. <publisher-name>National Academies Press</publisher-name>; <year>2020</year>.</mixed-citation></ref><ref id="R6"><label>6.</label><mixed-citation publication-type="book"><name><surname>Abraham</surname><given-names>K</given-names></name>, <name><surname>Houseman</surname><given-names>S</given-names></name>. <part-title>Contingent and alternative employment: lessons from the contingent worker supplement</part-title>. <source>1995-2017 Report prepared for the US Department of Labor</source>. <publisher-name>Upjohn Institute</publisher-name>; <year>2020</year>. <comment><ext-link xlink:href="https://research.upjohn.org/reports/270" ext-link-type="uri">https://research.upjohn.org/reports/270</ext-link></comment></mixed-citation></ref><ref id="R7"><label>7.</label><mixed-citation publication-type="journal"><name><surname>Alterman</surname><given-names>T</given-names></name>, <name><surname>Luckhaupt</surname><given-names>SE</given-names></name>, <name><surname>Dahlhamer</surname><given-names>JM</given-names></name>, <name><surname>Ward</surname><given-names>BW</given-names></name>, <name><surname>Calvert</surname><given-names>GM</given-names></name>. <article-title>Prevalence rates of work organization characteristics among workers in the U.S.: data from the 2010 National Health Interview Survey</article-title>. <source>Am J Ind Med</source>. <year>2013</year>;<volume>56</volume>(<issue>6</issue>):<fpage>647</fpage>&#x02013;<lpage>659</lpage>.<pub-id pub-id-type="pmid">22911666</pub-id>
</mixed-citation></ref><ref id="R8"><label>8.</label><mixed-citation publication-type="book"><source>Contingent Workforce: Size, characteristics, earnings, and benefits</source>. <publisher-loc>Washington, D.C.</publisher-loc>: <year>2015</year>; <month>April</month>
<day>20</day>. <comment>Report No.: GAO-15-168R General Accounting Office</comment>.</mixed-citation></ref><ref id="R9"><label>9.</label><mixed-citation publication-type="journal"><name><surname>Cummings</surname><given-names>KJ</given-names></name>, <name><surname>Kreiss</surname><given-names>K</given-names></name>. <article-title>Contingent workers and contingent health: risks of a modern economy</article-title>. <source>JAMA</source>. <year>2008</year>;<volume>299</volume>(<issue>4</issue>):<fpage>448</fpage>&#x02013;<lpage>450</lpage>.<pub-id pub-id-type="pmid">18230783</pub-id>
</mixed-citation></ref><ref id="R10"><label>10.</label><mixed-citation publication-type="journal"><name><surname>Tran</surname><given-names>M</given-names></name>, <name><surname>Sokas</surname><given-names>RK</given-names></name>. <article-title>The gig economy and contingent work: an occupational health assessment</article-title>. <source>J Occup Environ Med</source>. <year>2017</year>;<volume>59</volume>(<issue>4</issue>):<fpage>e63</fpage>&#x02013;<lpage>e66</lpage>.<pub-id pub-id-type="pmid">28244887</pub-id>
</mixed-citation></ref><ref id="R11"><label>11.</label><mixed-citation publication-type="journal"><name><surname>Harknett</surname><given-names>K</given-names></name>, <name><surname>Schneider</surname><given-names>D</given-names></name>. <article-title>Precarious work schedules and population health</article-title>. <source>Health Affairs Health Policy Brief</source>. <comment>Published on</comment>
<month>February</month>
<day>20</day>, <year>2020</year>.</mixed-citation></ref><ref id="R12"><label>12.</label><mixed-citation publication-type="journal"><name><surname>Ray</surname><given-names>TK</given-names></name>, <name><surname>Kenigsberg</surname><given-names>TA</given-names></name>, <name><surname>Pana-Cryan</surname><given-names>R</given-names></name>. <article-title>Employment arrangement, job stress, and health-related quality of life</article-title>. <source>Saf Sci</source>. <year>2017</year>;<volume>100</volume>(<issue>A</issue>):<fpage>46</fpage>&#x02013;<lpage>56</lpage>.<pub-id pub-id-type="pmid">29097848</pub-id>
</mixed-citation></ref><ref id="R13"><label>13.</label><mixed-citation publication-type="journal"><name><surname>Tamers</surname><given-names>SL</given-names></name>, <name><surname>Streit</surname><given-names>J</given-names></name>, <name><surname>Pana-Cryan</surname><given-names>R</given-names></name>, <etal/>
<article-title>Envisioning the future of work to safeguard the safety, health, and well-being of the workforce: a perspective from the CDC&#x02019;s National Institute for Occupational Safety and Health</article-title>. <source>Am J Ind Med</source>. <year>2020</year>;<volume>63</volume>(<issue>12</issue>):<fpage>1065</fpage>&#x02013;<lpage>1084</lpage>.<pub-id pub-id-type="pmid">32926431</pub-id>
</mixed-citation></ref><ref id="R14"><label>14.</label><mixed-citation publication-type="journal"><name><surname>Schmitt</surname><given-names>J</given-names></name>, <name><surname>Shierholz</surname><given-names>H</given-names></name>, <name><surname>Poydock</surname><given-names>M</given-names></name>. <article-title>The Economic Costs of Worker Misclassification</article-title>. <source>Economic Policy Institute</source>. <comment>Published on</comment>
<month>January</month>
<day>25</day>, <year>2023</year>.</mixed-citation></ref><ref id="R15"><label>15.</label><mixed-citation publication-type="book"><source>Social Expenditure Update: Private Social Expenditures and the Influence of Tax Systems</source>. <publisher-name>OECD</publisher-name>; <year>2023</year>. <date-in-citation>Accessed January 10, 2024</date-in-citation>. <comment><ext-link xlink:href="http://www.oecd.org/social/expenditure.htm" ext-link-type="uri">http://www.oecd.org/social/expenditure.htm</ext-link></comment></mixed-citation></ref><ref id="R16"><label>16.</label><mixed-citation publication-type="journal"><name><surname>Weil</surname><given-names>D</given-names></name>. <article-title>Understanding the present and future of work in the fissured workplace context</article-title>. <source>RSF: Russell Sage Found J Soc Sci</source>. <year>2019</year>;<volume>5</volume>(<issue>5</issue>):<fpage>147</fpage>.</mixed-citation></ref><ref id="R17"><label>17.</label><mixed-citation publication-type="book"><name><surname>Hacker</surname><given-names>J</given-names></name>. <source>The Great Risk Shift: The New Economic Insecurity and the Decline of the American Dream</source>. <edition>2nd ed.</edition>
<publisher-name>Oxford University Press</publisher-name>; <year>2019</year>.</mixed-citation></ref><ref id="R18"><label>18.</label><mixed-citation publication-type="book"><collab>Bureau of the Census</collab>. <part-title>Current Population Survey</part-title>, <source>2017 May: Contingent Work Supplement machine-readable data file</source>. <publisher-name>Bureau of Labor Statistics</publisher-name>; <year>2017</year>.</mixed-citation></ref><ref id="R19"><label>19.</label><mixed-citation publication-type="book"><name><surname>Caughey</surname><given-names>D</given-names></name>, <name><surname>Berinsky</surname><given-names>AJ</given-names></name>, <name><surname>Chatfield</surname><given-names>S</given-names></name>, <name><surname>Hartman</surname><given-names>E</given-names></name>, <name><surname>Schickler</surname><given-names>E</given-names></name>, <name><surname>Sekhon</surname><given-names>JS</given-names></name>. <source>Target estimation and adjustment weighting for survey nonresponse and sampling bias</source>. <publisher-name>Cambridge University Press</publisher-name>; <year>2020</year>.</mixed-citation></ref><ref id="R20"><label>20.</label><mixed-citation publication-type="book"><source>American Community Survey Five-Year Estimates, Mirodata Custom Tables</source>, <month>May</month>
<year>2021</year>.</mixed-citation></ref><ref id="R21"><label>21.</label><mixed-citation publication-type="journal"><name><surname>Fossum</surname><given-names>IN</given-names></name>, <name><surname>Bjorvatn</surname><given-names>B</given-names></name>, <name><surname>Waage</surname><given-names>S</given-names></name>, <name><surname>Pallesen</surname><given-names>S</given-names></name>. <article-title>Effects of shift and night work in the offshore petroleum industry: a systematic review</article-title>. <source>Ind Health</source>. <year>2013</year>;<volume>51</volume>(<issue>5</issue>):<fpage>530</fpage>&#x02013;<lpage>544</lpage>.<pub-id pub-id-type="pmid">23803497</pub-id>
</mixed-citation></ref><ref id="R22"><label>22.</label><mixed-citation publication-type="journal"><name><surname>Alali</surname><given-names>H</given-names></name>, <name><surname>Braeckman</surname><given-names>L</given-names></name>, <name><surname>Van Hecke</surname><given-names>T</given-names></name>, <name><surname>De Clercq</surname><given-names>B</given-names></name>, <name><surname>Janssens</surname><given-names>H</given-names></name>, <name><surname>Wahab</surname><given-names>MA</given-names></name>. <article-title>Relationship between non-standard work arrangements and work-related accident absence in Belgium</article-title>. <source>J Occup Health</source>. <year>2017</year>;<volume>59</volume>(<issue>2</issue>):<fpage>177</fpage>&#x02013;<lpage>186</lpage>.<pub-id pub-id-type="pmid">28111414</pub-id>
</mixed-citation></ref><ref id="R23"><label>23.</label><mixed-citation publication-type="journal"><name><surname>Schneider</surname><given-names>D</given-names></name>, <name><surname>Harknett</surname><given-names>K</given-names></name>. <article-title>Consequences of routine work-schedule instability for worker health and well-being</article-title>. <source>Am Sociol Rev</source>. <year>2019</year>;<volume>84</volume>(<issue>1</issue>):<fpage>82</fpage>&#x02013;<lpage>114</lpage>.<pub-id pub-id-type="pmid">33311716</pub-id>
</mixed-citation></ref><ref id="R24"><label>24.</label><mixed-citation publication-type="book"><name><surname>Karasek</surname><given-names>R</given-names></name>, <name><surname>Schwartz</surname><given-names>J</given-names></name>, <name><surname>Theorell</surname><given-names>T</given-names></name>. <part-title>Job characteristics, occupation, and coronary heart disease</part-title>. <source>Final Report to National Institute of Occupational Safety and Health</source>. <publisher-loc>New York</publisher-loc>: <publisher-name>Columbia University</publisher-name>; <year>1992</year>.</mixed-citation></ref><ref id="R25"><label>25.</label><mixed-citation publication-type="journal"><name><surname>Schnall</surname><given-names>PL</given-names></name>, <name><surname>Landsbergis</surname><given-names>PA</given-names></name>, <name><surname>Baker</surname><given-names>D</given-names></name>. <article-title>Job strain and cardiovascular disease</article-title>. <source>Annu Rev Public Health</source>. <year>1994</year>;<volume>15</volume>:<fpage>381</fpage>&#x02013;<lpage>411</lpage>.<pub-id pub-id-type="pmid">8054091</pub-id>
</mixed-citation></ref><ref id="R26"><label>26.</label><mixed-citation publication-type="journal"><name><surname>Rugulies</surname><given-names>R</given-names></name>, <name><surname>Krause</surname><given-names>N</given-names></name>. <article-title>Job strain, iso-strain, and the incidence of low back and neck injuries. A 7.5-year prospective study of San Francisco transit operators</article-title>. <source>Soc Sci Med</source>. <year>2005</year>;<volume>61</volume>(<issue>1</issue>):<fpage>27</fpage>&#x02013;<lpage>39</lpage>.<pub-id pub-id-type="pmid">15847959</pub-id>
</mixed-citation></ref><ref id="R27"><label>27.</label><mixed-citation publication-type="journal"><name><surname>Fishta</surname><given-names>A</given-names></name>, <name><surname>Back&#x000e9;</surname><given-names>EM</given-names></name>. <article-title>Psychosocial stress at work and cardiovascular diseases: an overview of systematic reviews</article-title>. <source>Int Arch Occup Environ Health</source>. <year>2015</year>;<volume>88</volume>(<issue>8</issue>):<fpage>997</fpage>&#x02013;<lpage>1014</lpage>.<pub-id pub-id-type="pmid">25687981</pub-id>
</mixed-citation></ref><ref id="R28"><label>28.</label><mixed-citation publication-type="journal"><name><surname>Kivim&#x000e4;ki</surname><given-names>M</given-names></name>, <name><surname>Nyberg</surname><given-names>ST</given-names></name>, <name><surname>Fransson</surname><given-names>EI</given-names></name>, <etal/>
<article-title>Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data</article-title>. <source>Can Med Assoc J</source>. <year>2013</year>;<volume>185</volume>(<issue>9</issue>):<fpage>763</fpage>&#x02013;<lpage>769</lpage>.<pub-id pub-id-type="pmid">23670152</pub-id>
</mixed-citation></ref><ref id="R29"><label>29.</label><mixed-citation publication-type="journal"><collab>Living Wage Calculator</collab>. <source>Massachusetts Institute of Technology</source>. <month>January</month>
<day>16</day>, <year>2024</year>. <comment><ext-link xlink:href="https://livingwage.mit.edu" ext-link-type="uri">https://livingwage.mit.edu</ext-link></comment></mixed-citation></ref><ref id="R30"><label>30.</label><mixed-citation publication-type="journal"><name><surname>Kelly</surname><given-names>J</given-names></name>. <article-title>White-collar professionals are stuck in a cycle of contract roles</article-title>. <source>Forbes</source>. <month>August</month>
<day>26</day>, <year>2022</year>.</mixed-citation></ref><ref id="R31"><label>31.</label><mixed-citation publication-type="webpage"><name><surname>Walters</surname><given-names>D</given-names></name>. <article-title>After court ruling, California&#x02019;s gig worker battle takes new turn</article-title>. <source>Calmatters</source>. <month>March</month>
<day>20</day>, <year>2023</year>. <date-in-citation>Accessed June 10, 2024</date-in-citation>. <comment><ext-link xlink:href="http://calmatters.org/commentary/2023/03/gig-worker-battle-court-ruling" ext-link-type="uri">calmatters.org/commentary/2023/03/gig-worker-battle-court-ruling</ext-link></comment></mixed-citation></ref><ref id="R32"><label>32.</label><mixed-citation publication-type="journal"><source>Employee or Independent Contractor Classification Under the Fair Labor Standards Act</source>, <comment>89 FR 1638</comment>; <year>2024</year>.</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>FIGURE 1</label><caption><p id="P43">Forest plot of impact of forms of nonstandard employment in main job (odds ratios &#x00026; 95% confidence intervals) on principal economic outcomes of Californians Employed in Month Before Interview. 1. Earnings at or below $40,000. 2. Wage theft defined as having done work for which pay not received or receiving less pay than expected. 3. Poverty measure defined using combination of household income and household size.</p></caption><graphic xlink:href="nihms-2005920-f0001" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>TABLE 1</label><caption><p id="P44">Employment status in month before interview and kind of employment in main job, by demographic characteristics of the California working age population.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1"/><th colspan="4" align="left" valign="bottom" rowspan="1">Kind of employment among those employed<hr/></th></tr><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1">Employed in past month</th><th align="left" valign="bottom" rowspan="1" colspan="1">Independent contractor<sup><xref rid="TFN1" ref-type="table-fn">1</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">Other forms of alternative employment<sup><xref rid="TFN2" ref-type="table-fn">2</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">Contingent work<sup><xref rid="TFN3" ref-type="table-fn">3</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">App-based work<sup><xref rid="TFN4" ref-type="table-fn">4</xref></sup></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">All</td><td align="left" valign="top" rowspan="1" colspan="1">70.8%</td><td align="left" valign="top" rowspan="1" colspan="1">16.6%</td><td align="left" valign="top" rowspan="1" colspan="1">10.7%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.5%</td><td align="left" valign="top" rowspan="1" colspan="1">6.1%</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;18&#x02013;24</td><td align="left" valign="top" rowspan="1" colspan="1">66.8%</td><td align="left" valign="top" rowspan="1" colspan="1">12.1%</td><td align="left" valign="top" rowspan="1" colspan="1">15.8%</td><td align="left" valign="top" rowspan="1" colspan="1">17.0%</td><td align="left" valign="top" rowspan="1" colspan="1">9.7%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;25&#x02013;29</td><td align="left" valign="top" rowspan="1" colspan="1">79.6%</td><td align="left" valign="top" rowspan="1" colspan="1">14.7%</td><td align="left" valign="top" rowspan="1" colspan="1">12.5%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.0%</td><td align="left" valign="top" rowspan="1" colspan="1">7.5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;30&#x02013;39</td><td align="left" valign="top" rowspan="1" colspan="1">80.2%</td><td align="left" valign="top" rowspan="1" colspan="1">13.1%</td><td align="left" valign="top" rowspan="1" colspan="1">13.2%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.9%</td><td align="left" valign="top" rowspan="1" colspan="1">7.0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;40&#x02013;44</td><td align="left" valign="top" rowspan="1" colspan="1">76.0%</td><td align="left" valign="top" rowspan="1" colspan="1">14.9%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.7%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.4%</td><td align="left" valign="top" rowspan="1" colspan="1">6.7%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;45&#x02013;49</td><td align="left" valign="top" rowspan="1" colspan="1">76.7%</td><td align="left" valign="top" rowspan="1" colspan="1">14.7%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.8%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.1%</td><td align="left" valign="top" rowspan="1" colspan="1">5.2%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;50&#x02013;59</td><td align="left" valign="top" rowspan="1" colspan="1">73.1%</td><td align="left" valign="top" rowspan="1" colspan="1">20.5%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.7%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.1%</td><td align="left" valign="top" rowspan="1" colspan="1">3.8%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;60&#x02013;64</td><td align="left" valign="top" rowspan="1" colspan="1">58.7%</td><td align="left" valign="top" rowspan="1" colspan="1">21.9%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;4.8%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.5%</td><td align="left" valign="top" rowspan="1" colspan="1">3.2%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;65&#x02013;70</td><td align="left" valign="top" rowspan="1" colspan="1">38.4%</td><td align="left" valign="top" rowspan="1" colspan="1">37.3%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.6%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.8%</td><td align="left" valign="top" rowspan="1" colspan="1">0.6%</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gender</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="left" valign="top" rowspan="1" colspan="1">74.7%</td><td align="left" valign="top" rowspan="1" colspan="1">17.1%</td><td align="left" valign="top" rowspan="1" colspan="1">12.5%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.0%</td><td align="left" valign="top" rowspan="1" colspan="1">6.0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="left" valign="top" rowspan="1" colspan="1">66.8%</td><td align="left" valign="top" rowspan="1" colspan="1">16.1%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.5%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.1%</td><td align="left" valign="top" rowspan="1" colspan="1">6.1%</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race/Ethnicity</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White, non-Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">73.1%</td><td align="left" valign="top" rowspan="1" colspan="1">17.8%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.4%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.7%</td><td align="left" valign="top" rowspan="1" colspan="1">4.8%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hispanic or Latino</td><td align="left" valign="top" rowspan="1" colspan="1">66.8%</td><td align="left" valign="top" rowspan="1" colspan="1">14.2%</td><td align="left" valign="top" rowspan="1" colspan="1">15.1%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.5%</td><td align="left" valign="top" rowspan="1" colspan="1">7.6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Asian or Pacific Islander</td><td align="left" valign="top" rowspan="1" colspan="1">77.6%</td><td align="left" valign="top" rowspan="1" colspan="1">12.1%</td><td align="left" valign="top" rowspan="1" colspan="1">11.4%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.8%</td><td align="left" valign="top" rowspan="1" colspan="1">6.0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black or African American</td><td align="left" valign="top" rowspan="1" colspan="1">69.6%</td><td align="left" valign="top" rowspan="1" colspan="1">18.9%</td><td align="left" valign="top" rowspan="1" colspan="1">10.0%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.9%</td><td align="left" valign="top" rowspan="1" colspan="1">6.1%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other (includes mixed race &#x00026; Native American)</td><td align="left" valign="top" rowspan="1" colspan="1">70.6%</td><td align="left" valign="top" rowspan="1" colspan="1">21.2%</td><td align="left" valign="top" rowspan="1" colspan="1">11.2%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.7%</td><td align="left" valign="top" rowspan="1" colspan="1">5.3%</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Marital status</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Married</td><td align="left" valign="top" rowspan="1" colspan="1">74.3%</td><td align="left" valign="top" rowspan="1" colspan="1">15.0%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.9%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.5%</td><td align="left" valign="top" rowspan="1" colspan="1">3.7%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Widowed, separated, or divorced</td><td align="left" valign="top" rowspan="1" colspan="1">59.7%</td><td align="left" valign="top" rowspan="1" colspan="1">21.3%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.5%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.6%</td><td align="left" valign="top" rowspan="1" colspan="1">7.0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Never Married</td><td align="left" valign="top" rowspan="1" colspan="1">70.7%</td><td align="left" valign="top" rowspan="1" colspan="1">16.7%</td><td align="left" valign="top" rowspan="1" colspan="1">13.8%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.8%</td><td align="left" valign="top" rowspan="1" colspan="1">9.1%</td></tr><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Education level</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;High School or Less</td><td align="left" valign="top" rowspan="1" colspan="1">60.5%</td><td align="left" valign="top" rowspan="1" colspan="1">19.0%</td><td align="left" valign="top" rowspan="1" colspan="1">16.0%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.5%</td><td align="left" valign="top" rowspan="1" colspan="1">7.8%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Some College</td><td align="left" valign="top" rowspan="1" colspan="1">70.1%</td><td align="left" valign="top" rowspan="1" colspan="1">16.3%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;9.8%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.4%</td><td align="left" valign="top" rowspan="1" colspan="1">7.8%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Bachelor&#x02019;s Degree</td><td align="left" valign="top" rowspan="1" colspan="1">79.8%</td><td align="left" valign="top" rowspan="1" colspan="1">14.5%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.8%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.5%</td><td align="left" valign="top" rowspan="1" colspan="1">4.1%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Graduate Training</td><td align="left" valign="top" rowspan="1" colspan="1">88.6%</td><td align="left" valign="top" rowspan="1" colspan="1">14.9%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.9%</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;2.3%</td><td align="left" valign="top" rowspan="1" colspan="1">1.7%</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>1</label><p id="P45">Either self-employed or work for someone else as an independent contractor.</p></fn><fn id="TFN2"><label>2</label><p id="P46">Category includes on-call workers, those employed by temp. agency, and those whose work is subcontracted out.</p></fn><fn id="TFN3"><label>3</label><p id="P47">Contingent work is defined as a job not expected to last another 12 months.</p></fn><fn id="TFN4"><label>4</label><p id="P48">App-based employment defined as jobs or tasks that connect workers to customers via an app.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>TABLE 2</label><caption><p id="P49">Impact of independent contracting, other forms of alternative employment, contingent work, and app-based work vs. traditional forms of employment in the main job on economic status of worker and household.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="bottom" rowspan="1">Independent contractor<sup><xref rid="TFN5" ref-type="table-fn">1</xref></sup><break/>Weighted percent: 16.8%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">Other forms of alternative employment<sup><xref rid="TFN6" ref-type="table-fn">2</xref></sup><break/>Weighted percent: 9.8%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">Contingent work<sup><xref rid="TFN7" ref-type="table-fn">3</xref></sup><break/>Weighted percent: 5.4%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">App-based work<sup><xref rid="TFN8" ref-type="table-fn">4</xref></sup><break/>Weighted percent: 5.6%<hr/></th></tr><tr><th rowspan="2" align="left" valign="bottom" colspan="1">Economic status</th><th rowspan="2" align="left" valign="bottom" colspan="1">Weighted % with work condition</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th></tr><tr><th colspan="8" align="left" valign="bottom" rowspan="1">Cells are odds ratios &#x00026; 95% confidence intervals for comparison of form of employment vs. Traditional. Cells in bold are statistically significant.</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Worker earnings and benefits</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Low earnings<sup><xref rid="TFN9" ref-type="table-fn">5</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">39.1%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.31 (1.77, 3.02)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.44 (1.71, 3.47)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.74 (1.20, 2.53)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.33 (0.88, 2.01)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>5.84 (3.75, 9.11)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.94 (2.19, 7.09)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>4.05 (2.56, 6.42)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.10 (1.11, 3.96)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Reports wage theft<sup><xref rid="TFN10" ref-type="table-fn">6</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">11.4%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.96 (2.82, 5.57)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>4.12 (2.97, 5.70)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.70 (2.21, 6.18)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.26 (2.01, 5.30)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.13 (1.30, 3.50)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.71 (1.01, 2.89)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.94 (1.16, 3.25)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.45 (0.84, 2.48)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Reports bonus or tips as part of compensation</td><td align="left" valign="top" rowspan="1" colspan="1">36.3%</td><td align="left" valign="top" rowspan="1" colspan="1">1.07 (0.82, 1.40)</td><td align="left" valign="top" rowspan="1" colspan="1">1.10 (0.84, 1.46)</td><td align="left" valign="top" rowspan="1" colspan="1">0.74 (0.51, 1.08)</td><td align="left" valign="top" rowspan="1" colspan="1">0.74 (0.49, 1.14)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.58 (0.38, 0.90)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.54 (0.33, 0.88)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.39 (1.57, 3.64)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.54 (1.63, 3.97)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Has no paid sick days</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.5%</td><td align="left" valign="top" rowspan="1" colspan="1">1.16 (0.71, 1.91)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00 (0.57, 1.77)</td><td align="left" valign="top" rowspan="1" colspan="1">1.09 (0.52, 2.28)</td><td align="left" valign="top" rowspan="1" colspan="1">0.86 (0.39, 1.88)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.20 (1.49, 6.85)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.51 (1.20, 5.22)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.01 (0.46, 2.22)</td><td align="left" valign="top" rowspan="1" colspan="1">0.77 (0.31, 1.89)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Has access to pension or tax-deferred savings plan</td><td align="left" valign="top" rowspan="1" colspan="1">55.7%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.12 (0.09, 0.17)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.11 (0.08, 0.16)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.54 (0.38, 0.77)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.71 (0.47, 1.07)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.32 (0.21, 0.50)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.47 (0.29, 0.78)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.22 (0.14, 0.36)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.33 (0.19, 0.57)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Has access to employer health insurance plan</td><td align="left" valign="top" rowspan="1" colspan="1">73.7%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.12 (0.09, 0.16)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.13 (0.09, 0.17)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.64 (0.43, 0.97)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.79 (0.51, 1.23)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.39 (0.26, 0.60)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.48 (0.30, 0.78)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.38 (0.25, 0.58)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.47 (0.28, 0.79)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Currently on employer health insurance plan</td><td align="left" valign="top" rowspan="1" colspan="1">52.9%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.14 (0.10, 0.19)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.12 (0.09, 0.17)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.69 (0.48, 0.98)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.85 (0.57, 1.27)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.22 (0.14, 0.35)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.31 (0.18, 0.52)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.18 (0.12, 0.29)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.27 (0.17, 0.44)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Currently has health insurance</td><td align="left" valign="top" rowspan="1" colspan="1">93.0%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.57 (0.35, 0.91)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.51 (0.31, 0.84)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.36 (0.21, 0.62)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.58 (0.32, 1.07)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.40 (0.22, 0.72)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.73 (0.36, 1.45)</td><td align="left" valign="top" rowspan="1" colspan="1">0.67 (0.32, 1.40)</td><td align="left" valign="top" rowspan="1" colspan="1">1.02 (0.47, 2.18)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Had health insurance at some point in past year</td><td align="left" valign="top" rowspan="1" colspan="1">95.2%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.47 (0.27, 0.79)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.43 (0.25, 0.74)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.42 (0.22, 0.81)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.69 (0.34, 1.39)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.40 (0.20, 0.77)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.66 (0.30, 1.44)</td><td align="left" valign="top" rowspan="1" colspan="1">0.67 (0.29, 1.53)</td><td align="left" valign="top" rowspan="1" colspan="1">0.97 (0.41, 2.26)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Household economic well-being</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Low household income</td><td align="left" valign="top" rowspan="1" colspan="1">22.1%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.23 (1.67, 2.97)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.88 (1.34, 2.62)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.89 (1.23, 2.90)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.20 (0.74, 1.95)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.82 (1.77, 4.48)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.61 (0.98, 2.63)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.31 (2.15, 5.09)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.09 (1.29, 3.41)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Household income at or below 125% of federal poverty level<sup><xref rid="TFN11" ref-type="table-fn">7</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">15.8%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.07 (1.50, 2.87)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.97 (1.35, 2.87)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.15 (1.32, 3.50)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.64 (0.95, 2.80)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.84 (1.68, 4.80)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.77 (1.05, 3.00)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.03 (1.89, 4.84)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.21 (1.22, 3.99)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Has other sources of household income beyond personal earnings</td><td align="left" valign="top" rowspan="1" colspan="1">19.1%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.02 (1.50, 2.71)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.80 (1.34, 2.42)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.27 (0.84, 1.90)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.66 (1.09, 2.53)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.30 (0.76, 2.23)</td><td align="left" valign="top" rowspan="1" colspan="1">1.53 (0.94, 2.47)</td><td align="left" valign="top" rowspan="1" colspan="1">0.94 (0.52, 1.71)</td><td align="left" valign="top" rowspan="1" colspan="1">0.93 (0.50, 1.74)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Currently unhoused<sup><xref rid="TFN12" ref-type="table-fn">8</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;3.7%</td><td align="left" valign="top" rowspan="1" colspan="1">0.89 (0.47, 1.69)</td><td align="left" valign="top" rowspan="1" colspan="1">0.76 (0.38, 1.53)</td><td align="left" valign="top" rowspan="1" colspan="1">1.54 (0.48, 4.91)</td><td align="left" valign="top" rowspan="1" colspan="1">1.35 (0.51, 3.56)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>4.26 (1.97, 9.19)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.77 (1.32, 5.81)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.89 (0.82, 4.36)</td><td align="left" valign="top" rowspan="1" colspan="1">1.30 (0.55, 3.08)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Experiencing financial difficulty now<sup><xref rid="TFN13" ref-type="table-fn">9</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">15.6%</td><td align="left" valign="top" rowspan="1" colspan="1">1.26 (0.89, 1.78)</td><td align="left" valign="top" rowspan="1" colspan="1">1.03 (0.71, 1.48)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.74 (1.11, 2.75)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.55 (0.97, 2.48)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.14 (1.98, 4.99)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.64 (1.64, 4.24)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.62 (1.60, 4.30)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.88 (1.12, 3.15)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Can sustain $400 emergency expense</td><td align="left" valign="top" rowspan="1" colspan="1">76.9%</td><td align="left" valign="top" rowspan="1" colspan="1">0.82 (0.61, 1.11)</td><td align="left" valign="top" rowspan="1" colspan="1">0.96 (0.70, 1.32)</td><td align="left" valign="top" rowspan="1" colspan="1">0.84 (0.54, 1.28)</td><td align="left" valign="top" rowspan="1" colspan="1">1.05 (0.66, 1.67)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.57 (0.37, 0.87)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.79 (0.47, 1.33)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.41 (0.26, 0.65)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.63 (0.39, 1.01)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Likely to experience food, housing, or medical care hardships in next two months</td><td align="left" valign="top" rowspan="1" colspan="1">16.3%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.58 (1.14, 2.18)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.36 (0.96, 1.94)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.02 (1.25, 3.24)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.69 (1.03, 2.78)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.34 (1.48, 3.71)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.86 (1.13, 3.05)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.37 (2.08, 5.45)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.58 (1.55, 4.29)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Received disability benefits in past year<sup><xref rid="TFN14" ref-type="table-fn">10</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;5.6%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.73 (1.08, 2.77)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.65 (1.02, 2.67)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.62 (0.86, 3.05)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.94 (1.04, 3.62)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.9 (0.41, 1.98)</td><td align="left" valign="top" rowspan="1" colspan="1">0.90 (0.41, 1.99)</td><td align="left" valign="top" rowspan="1" colspan="1">0.93 (0.34, 2.49)</td><td align="left" valign="top" rowspan="1" colspan="1">0.76 (0.28, 2.04)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Received TANF benefits in past year</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.4%</td><td align="left" valign="top" rowspan="1" colspan="1">2.03 (0.83, 4.96)</td><td align="left" valign="top" rowspan="1" colspan="1">1.91 (0.80, 4.59)</td><td align="left" valign="top" rowspan="1" colspan="1">2.28 (0.75, 6.90)</td><td align="left" valign="top" rowspan="1" colspan="1">1.92 (0.62, 5.88)</td><td align="left" valign="top" rowspan="1" colspan="1">1.46 (0.50, 4.23)</td><td align="left" valign="top" rowspan="1" colspan="1">1.10 (0.34, 3.52)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>4.63 (1.66, 12.95)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.63 (1.37, 9.65)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Received SNAP benefits or used food bank in past year</td><td align="left" valign="top" rowspan="1" colspan="1">12.9%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.79 (1.29, 2.48)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.83 (1.28, 2.61)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.01 (0.63, 1.59)</td><td align="left" valign="top" rowspan="1" colspan="1">0.89 (0.53, 1.50)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.08 (1.27, 3.41)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.44 (0.85, 2.46)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.61 (1.60, 4.24)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.80 (1.07, 3.03)</bold>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><label>1</label><p id="P50">Either self-employed or work for someone else as an independent contractor.</p></fn><fn id="TFN6"><label>2</label><p id="P51">Category includes on-call workers, those employed by temp. agency, and those whose work is subcontracted out.</p></fn><fn id="TFN7"><label>3</label><p id="P52">Contingent work is defined as a job not expected to last another 12 months.</p></fn><fn id="TFN8"><label>4</label><p id="P53">App-based employment defined as jobs or tasks that connect workers to customers via an app.</p></fn><fn id="TFN9"><label>5</label><p id="P54">Earnings at or below $40,000.</p></fn><fn id="TFN10"><label>6</label><p id="P55">Wage theft defined as having done work for which pay not received or received less pay than expected.</p></fn><fn id="TFN11"><label>7</label><p id="P56">Poverty measure calculated using household income and household size.</p></fn><fn id="TFN12"><label>8</label><p id="P57">Unhoused defined by respondent not owning or renting home and stating they currently do not have permanent place to live.</p></fn><fn id="TFN13"><label>9</label><p id="P58">Reports it being difficult, very difficult, or extremely difficult to live on household income now.</p></fn><fn id="TFN14"><label>10</label><p id="P59">Reports receipt of SSDI, SSI, CA Disability Insurance, or Private Disability Insurance.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>TABLE 3</label><caption><p id="P60">Impact of independent contracting, other forms of alternative employment, contingent work, and app-based work vs. traditional forms of employment in main job on health status.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="bottom" rowspan="1">Independent contractor<sup><xref rid="TFN15" ref-type="table-fn">1</xref></sup><break/>Weighted percent: 16.8%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">Other forms of alternative employment<sup><xref rid="TFN16" ref-type="table-fn">2</xref></sup><break/>Weighted percent: 9.8%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">Contingent work<sup><xref rid="TFN17" ref-type="table-fn">3</xref></sup><break/>Weighted percent: 5.4%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">App-based work<sup><xref rid="TFN18" ref-type="table-fn">4</xref></sup><break/>Weighted percent: 5.6%<hr/></th></tr><tr><th rowspan="2" align="left" valign="bottom" colspan="1">Health status measures</th><th rowspan="2" align="left" valign="bottom" colspan="1">Weighted percent with work condition</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th></tr><tr><th colspan="8" align="left" valign="bottom" rowspan="1">Cells are odds ratios &#x00026; 95% confidence intervals for comparison of form of employment vs. traditional. Cells in bold are statistically significant.</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Fair or poor physical health status</td><td align="left" valign="top" rowspan="1" colspan="1">22.1%</td><td align="left" valign="top" rowspan="1" colspan="1">1.05 (0.77, 1.45)</td><td align="left" valign="top" rowspan="1" colspan="1">0.99 (0.73, 1.35)</td><td align="left" valign="top" rowspan="1" colspan="1">1.09 (0.73, 1.63)</td><td align="left" valign="top" rowspan="1" colspan="1">1.07 (0.71, 1.63)</td><td align="left" valign="top" rowspan="1" colspan="1">0.99 (0.63, 1.54)</td><td align="left" valign="top" rowspan="1" colspan="1">0.87 (0.52, 1.44)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.65 (1.03, 2.66)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.47 (0.92, 2.33)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Fair or poor mental health status</td><td align="left" valign="top" rowspan="1" colspan="1">23.9%</td><td align="left" valign="top" rowspan="1" colspan="1">0.78 (0.57, 1.06)</td><td align="left" valign="top" rowspan="1" colspan="1">0.82 (0.60, 1.13)</td><td align="left" valign="top" rowspan="1" colspan="1">0.83 (0.55, 1.26)</td><td align="left" valign="top" rowspan="1" colspan="1">0.71 (0.45, 1.11)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.40 (1.58, 3.65)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.70 (1.08, 2.68)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.96 (1.26, 3.04)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.53 (0.94, 2.47)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">High levels of perceived stress</td><td align="left" valign="top" rowspan="1" colspan="1">18.8%</td><td align="left" valign="top" rowspan="1" colspan="1">1.11 (0.80, 1.54)</td><td align="left" valign="top" rowspan="1" colspan="1">1.15 (0.82, 1.62)</td><td align="left" valign="top" rowspan="1" colspan="1">1.19 (0.77, 1.83)</td><td align="left" valign="top" rowspan="1" colspan="1">1.14 (0.72, 1.81)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.11 (1.35, 3.29)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.62 (0.97, 2.70)</td><td align="left" valign="top" rowspan="1" colspan="1">1.41 (0.89, 2.23)</td><td align="left" valign="top" rowspan="1" colspan="1">1.09 (0.66, 1.81)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">One or more chronic conditions</td><td align="left" valign="top" rowspan="1" colspan="1">37.4%</td><td align="left" valign="top" rowspan="1" colspan="1">1.23 (0.95, 1.60)</td><td align="left" valign="top" rowspan="1" colspan="1">1.10 (0.84, 1.44)</td><td align="left" valign="top" rowspan="1" colspan="1">0.76 (0.53, 1.09)</td><td align="left" valign="top" rowspan="1" colspan="1">1.01 (0.69, 1.47)</td><td align="left" valign="top" rowspan="1" colspan="1">1.19 (0.78, 1.83)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.62 (1.07, 2.45)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.00 (0.66, 1.54)</td><td align="left" valign="top" rowspan="1" colspan="1">1.09 (0.70, 1.70)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Limited in activities</td><td align="left" valign="top" rowspan="1" colspan="1">17.6%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.44 (1.06, 1.97)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.28 (0.94, 1.75)</td><td align="left" valign="top" rowspan="1" colspan="1">1.15 (0.76, 1.73)</td><td align="left" valign="top" rowspan="1" colspan="1">1.40 (0.92, 2.13)</td><td align="left" valign="top" rowspan="1" colspan="1">1.22 (0.75, 1.99)</td><td align="left" valign="top" rowspan="1" colspan="1">1.37 (0.82, 2.30)</td><td align="left" valign="top" rowspan="1" colspan="1">1.40 (0.87, 2.27)</td><td align="left" valign="top" rowspan="1" colspan="1">1.37 (0.86, 2.19)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Common symptoms</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Breathing problems</td><td align="left" valign="top" rowspan="1" colspan="1">12.8%</td><td align="left" valign="top" rowspan="1" colspan="1">1.25 (0.85, 1.83)</td><td align="left" valign="top" rowspan="1" colspan="1">1.24 (0.82, 1.88)</td><td align="left" valign="top" rowspan="1" colspan="1">1.54 (0.93, 2.57)</td><td align="left" valign="top" rowspan="1" colspan="1">1.44 (0.88, 2.35)</td><td align="left" valign="top" rowspan="1" colspan="1">1.42 (0.76, 2.67)</td><td align="left" valign="top" rowspan="1" colspan="1">1.32 (0.70, 2.51)</td><td align="left" valign="top" rowspan="1" colspan="1">1.38 (0.76, 2.51)</td><td align="left" valign="top" rowspan="1" colspan="1">1.16 (0.61, 2.19)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Pain</td><td align="left" valign="top" rowspan="1" colspan="1">23.8%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.52 (1.12, 2.06)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.33 (0.99, 1.79)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.49 (1.00, 2.21)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.61 (1.08, 2.39)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.82 (1.15, 2.88)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.95 (1.24, 3.06)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.30 (0.79, 2.16)</td><td align="left" valign="top" rowspan="1" colspan="1">1.23 (0.73, 2.06)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Numbness</td><td align="left" valign="top" rowspan="1" colspan="1">19.9%</td><td align="left" valign="top" rowspan="1" colspan="1">1.23 (0.88, 1.71)</td><td align="left" valign="top" rowspan="1" colspan="1">1.07 (0.76, 1.51)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.78 (1.18, 2.67)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.95 (1.29, 2.95)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.30 (0.77, 2.19)</td><td align="left" valign="top" rowspan="1" colspan="1">1.48 (0.93, 2.36)</td><td align="left" valign="top" rowspan="1" colspan="1">1.07 (0.61, 1.90)</td><td align="left" valign="top" rowspan="1" colspan="1">1.13 (0.63, 2.04)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Health behaviors</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Regular exercise</td><td align="left" valign="top" rowspan="1" colspan="1">78.9%</td><td align="left" valign="top" rowspan="1" colspan="1">1.25 (0.88, 1.76)</td><td align="left" valign="top" rowspan="1" colspan="1">1.31 (0.92, 1.86)</td><td align="left" valign="top" rowspan="1" colspan="1">1.11 (0.72, 1.70)</td><td align="left" valign="top" rowspan="1" colspan="1">1.08 (0.72, 1.64)</td><td align="left" valign="top" rowspan="1" colspan="1">0.77 (0.47, 1.24)</td><td align="left" valign="top" rowspan="1" colspan="1">0.81 (0.49, 1.33)</td><td align="left" valign="top" rowspan="1" colspan="1">0.71 (0.43, 1.17)</td><td align="left" valign="top" rowspan="1" colspan="1">0.72 (0.43, 1.20)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;High levels of alcohol consumption<sup><xref rid="TFN19" ref-type="table-fn">5</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">14.9%</td><td align="left" valign="top" rowspan="1" colspan="1">1.00 (0.72, 1.40)</td><td align="left" valign="top" rowspan="1" colspan="1">1.01 (0.71, 1.43)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.83 (1.14, 2.94)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.61 (1.00, 2.61)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.66 (0.33, 1.34)</td><td align="left" valign="top" rowspan="1" colspan="1">0.65 (0.32, 1.33)</td><td align="left" valign="top" rowspan="1" colspan="1">1.23 (0.72, 2.13)</td><td align="left" valign="top" rowspan="1" colspan="1">1.31 (0.73, 2.38)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Current smoker</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.5%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.72 (1.17, 2.53)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.37 (0.89, 2.11)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.20 (1.16, 4.17)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.86 (1.01, 3.41)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.98 (0.46, 2.10)</td><td align="left" valign="top" rowspan="1" colspan="1">0.85 (0.37, 1.94)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.96 (1.11, 3.44)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.74 (1.01, 3.01)</bold>
</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">On-the-Job Injuries</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;One or More On-the-job injuries in year before interview</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;8.3%</td><td align="left" valign="top" rowspan="1" colspan="1">1.17 (0.72, 1.89)</td><td align="left" valign="top" rowspan="1" colspan="1">1.10 (0.66, 1.83)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.96 (1.73, 5.09)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.54 (1.48, 4.35)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.20 (0.66, 2.16)</td><td align="left" valign="top" rowspan="1" colspan="1">1.03 (0.54, 1.97)</td><td align="left" valign="top" rowspan="1" colspan="1">0.90 (0.47, 1.75)</td><td align="left" valign="top" rowspan="1" colspan="1">0.73 (0.35, 1.51)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Received medical treatment for injury</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;4.0%</td><td align="left" valign="top" rowspan="1" colspan="1">0.96 (0.51, 1.79)</td><td align="left" valign="top" rowspan="1" colspan="1">0.81 (0.39, 1.67)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.89 (2.04, 7.41)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.91 (2.09, 7.33)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.91 (0.40, 2.09)</td><td align="left" valign="top" rowspan="1" colspan="1">0.97 (0.39, 2.42)</td><td align="left" valign="top" rowspan="1" colspan="1">1.39 (0.65, 2.97)</td><td align="left" valign="top" rowspan="1" colspan="1">1.51 (0.66, 3.45)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Reported injury to employer</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;4.9%</td><td align="left" valign="top" rowspan="1" colspan="1">0.79 (0.44, 1.40)</td><td align="left" valign="top" rowspan="1" colspan="1">0.67 (0.36, 1.25)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.97 (1.6, 5.52)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.64 (1.43, 4.86)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.14 (0.58, 2.25)</td><td align="left" valign="top" rowspan="1" colspan="1">1.02 (0.49, 2.16)</td><td align="left" valign="top" rowspan="1" colspan="1">0.94 (0.43, 2.06)</td><td align="left" valign="top" rowspan="1" colspan="1">0.82 (0.35, 1.89)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Received workers&#x02019; compensation</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;1.4%</td><td align="left" valign="top" rowspan="1" colspan="1">0.25 (0.06, 1.07)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.20 (0.04, 0.99)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">2.62 (0.83, 8.21)</td><td align="left" valign="top" rowspan="1" colspan="1">1.98 (0.73, 5.36)</td><td align="left" valign="top" rowspan="1" colspan="1">0.75 (0.17, 3.24)</td><td align="left" valign="top" rowspan="1" colspan="1">0.47 (0.08, 2.75)</td><td align="left" valign="top" rowspan="1" colspan="1">1.19 (0.35, 4.07)</td><td align="left" valign="top" rowspan="1" colspan="1">1.15 (0.28, 4.65)</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Medical care utilization</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Medical visits in past year</td><td align="left" valign="top" rowspan="1" colspan="1">78.4%</td><td align="left" valign="top" rowspan="1" colspan="1">1.08 (0.79, 1.48)</td><td align="left" valign="top" rowspan="1" colspan="1">1.1 (0.79, 1.54)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.56 (0.37, 0.84)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.71 (0.46, 1.09)</td><td align="left" valign="top" rowspan="1" colspan="1">0.70 (0.43, 1.14)</td><td align="left" valign="top" rowspan="1" colspan="1">0.90 (0.55, 1.48)</td><td align="left" valign="top" rowspan="1" colspan="1">1.41 (0.81, 2.46)</td><td align="left" valign="top" rowspan="1" colspan="1">1.73 (0.95, 3.16)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hospital admissions in past year</td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;6.9%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.72 (1.14, 2.60)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.6 (1.04, 2.47)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.98 (1.13, 3.48)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.95 (1.08, 3.52)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.95 (0.51, 1.77)</td><td align="left" valign="top" rowspan="1" colspan="1">0.95 (0.48, 1.85)</td><td align="left" valign="top" rowspan="1" colspan="1">1.50 (0.76, 2.99)</td><td align="left" valign="top" rowspan="1" colspan="1">1.60 (0.80, 3.24)</td></tr></tbody></table><table-wrap-foot><fn id="TFN15"><label>1</label><p id="P61">Either self-employed or work for someone else as an independent contractor.</p></fn><fn id="TFN16"><label>2</label><p id="P62">Category includes on-call workers, those employed by temp. agency, and those whose work is subcontracted out.</p></fn><fn id="TFN17"><label>3</label><p id="P63">Contingent work is defined as a job not expected to last another 12 months.</p></fn><fn id="TFN18"><label>4</label><p id="P64">App-based employment defined as jobs or tasks that connect workers to customers via an app.</p></fn><fn id="TFN19"><label>5</label><p id="P65">Consumed more than five drinks in one sitting on two or more occasions in the past month.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4" orientation="landscape"><label>TABLE 4</label><caption><p id="P66">Working conditions of workers in independent contracting, other forms of alternative employment, contingent work, and app-based work vs. traditional forms of employment in main job.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/><col align="left" valign="top" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="bottom" rowspan="1">Independent contractor<sup><xref rid="TFN20" ref-type="table-fn">1</xref></sup><break/>Weighted percent: 16.8%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">Other forms of alternative employment<sup><xref rid="TFN21" ref-type="table-fn">2</xref></sup><break/>Weighted percent: 9.8%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">Contingent work<sup><xref rid="TFN22" ref-type="table-fn">3</xref></sup><break/>Weighted percent: 5.4%<hr/></th><th colspan="2" align="left" valign="bottom" rowspan="1">App-based work<sup><xref rid="TFN23" ref-type="table-fn">4</xref></sup><break/>Weighted percent: 5.6%<hr/></th></tr><tr><th rowspan="2" align="left" valign="bottom" colspan="1">Working conditions</th><th rowspan="2" align="left" valign="bottom" colspan="1">Weighted percent with work condition</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Unadjusted</th><th align="left" valign="bottom" rowspan="1" colspan="1">Adjusted</th></tr><tr><th colspan="8" align="left" valign="bottom" rowspan="1">Cells are odds ratios &#x00026; 95% confidence intervals for comparison of form of employment vs. traditional. Cells in bold are statistically significant.</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Current job</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Flexible hours</td><td align="left" valign="top" rowspan="1" colspan="1">58.2%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.99 (2.90, 5.47)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>5.13 (3.72, 7.07)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.90 (0.63, 1.29)</td><td align="left" valign="top" rowspan="1" colspan="1">0.91 (0.61, 1.36)</td><td align="left" valign="top" rowspan="1" colspan="1">0.95 (0.62, 1.45)</td><td align="left" valign="top" rowspan="1" colspan="1">0.91 (0.56, 1.49)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.96 (1.20, 3.19)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.23 (1.26, 3.93)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Irregular shifts</td><td align="left" valign="top" rowspan="1" colspan="1">23.5%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>4.35 (3.32, 5.70)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>4.63 (3.48, 6.16)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.66 (1.13, 2.45)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.79 (1.17, 2.72)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.39 (0.88, 2.19)</td><td align="left" valign="top" rowspan="1" colspan="1">1.12 (0.70, 1.79)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.14 (2.08, 4.76)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.23 (1.39, 3.57)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Required overtime</td><td align="left" valign="top" rowspan="1" colspan="1">51.2%</td><td align="left" valign="top" rowspan="1" colspan="1">0.98 (0.76, 1.26)</td><td align="left" valign="top" rowspan="1" colspan="1">0.94 (0.72, 1.22)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.48 (1.04, 2.11)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.40 (0.97, 2.01)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.65 (0.43, 0.98)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.79 (0.53, 1.17)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.56 (0.36, 0.87)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.68 (0.42, 1.12)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Work from home some or all of the time</td><td align="left" valign="top" rowspan="1" colspan="1">48.7%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.85 (1.42, 2.40)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.27 (2.40, 4.45)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.74 (0.52, 1.05)</td><td align="left" valign="top" rowspan="1" colspan="1">1.13 (0.74, 1.73)</td><td align="left" valign="top" rowspan="1" colspan="1">0.72 (0.48, 1.09)</td><td align="left" valign="top" rowspan="1" colspan="1">1.04 (0.57, 1.89)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.66 (0.44, 0.99)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.25 (0.77, 2.04)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;High levels of ergonomic demands<sup><xref rid="TFN24" ref-type="table-fn">5</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">27.2%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.74 (1.32, 2.31)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.52 (1.11, 2.08)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.51 (1.72, 3.66)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.87 (1.22, 2.85)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.43 (0.92, 2.21)</td><td align="left" valign="top" rowspan="1" colspan="1">1.15 (0.72, 1.86)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.91 (1.24, 2.93)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.44 (0.89, 2.35)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;High levels of cognitive demands<sup><xref rid="TFN25" ref-type="table-fn">6</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">41.7%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.45 (0.34, 0.60)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.57 (0.42, 0.77)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.67 (0.46, 0.97)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.95 (0.63, 1.44)</td><td align="left" valign="top" rowspan="1" colspan="1">0.69 (0.45, 1.06)</td><td align="left" valign="top" rowspan="1" colspan="1">0.90 (0.56, 1.43)</td><td align="left" valign="top" rowspan="1" colspan="1">0.63 (0.40, 1.00)</td><td align="left" valign="top" rowspan="1" colspan="1">0.88 (0.54, 1.44)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Job combines high level of demands and low control<sup><xref rid="TFN26" ref-type="table-fn">7</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">15.4%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.53 (0.36, 0.78)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.57 (0.38, 0.84)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.81 (1.21, 2.73)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.72 (1.15, 2.57)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.12 (1.34, 3.37)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.81 (1.11, 2.94)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.01 (0.57, 1.78)</td><td align="left" valign="top" rowspan="1" colspan="1">0.70 (0.38, 1.27)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Experienced bullying by coworkers, supervisors, or customers on job</td><td align="left" valign="top" rowspan="1" colspan="1">41.6%</td><td align="left" valign="top" rowspan="1" colspan="1">0.82 (0.64, 1.06)</td><td align="left" valign="top" rowspan="1" colspan="1">0.85 (0.65, 1.12)</td><td align="left" valign="top" rowspan="1" colspan="1">1.09 (0.76, 1.57)</td><td align="left" valign="top" rowspan="1" colspan="1">1.23 (0.85, 1.78)</td><td align="left" valign="top" rowspan="1" colspan="1">1.27 (0.84, 1.92)</td><td align="left" valign="top" rowspan="1" colspan="1">1.16 (0.75, 1.79)</td><td align="left" valign="top" rowspan="1" colspan="1">1.42 (0.94, 2.14)</td><td align="left" valign="top" rowspan="1" colspan="1">1.19 (0.75, 1.88)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Respectful treatment from coworkers, supervisors, or customers on job</td><td align="left" valign="top" rowspan="1" colspan="1">87.2%</td><td align="left" valign="top" rowspan="1" colspan="1">0.77 (0.51, 1.15)</td><td align="left" valign="top" rowspan="1" colspan="1">0.89 (0.57, 1.38)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.51 (0.31, 0.82)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.57 (0.35, 0.92)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.55 (0.30, 1.00)</td><td align="left" valign="top" rowspan="1" colspan="1">0.62 (0.33, 1.15)</td><td align="left" valign="top" rowspan="1" colspan="1">0.72 (0.43, 1.22)</td><td align="left" valign="top" rowspan="1" colspan="1">0.94 (0.54, 1.63)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Job requires less education than worker has<sup><xref rid="TFN27" ref-type="table-fn">8</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">25.5%</td><td align="left" valign="top" rowspan="1" colspan="1">0.89 (0.67, 1.17)</td><td align="left" valign="top" rowspan="1" colspan="1">0.80 (0.60, 1.06)</td><td align="left" valign="top" rowspan="1" colspan="1">0.71 (0.50, 1.02)</td><td align="left" valign="top" rowspan="1" colspan="1">0.71 (0.48, 1.04)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.59 (1.03, 2.45)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.35 (0.88, 2.06)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.62 (1.07, 2.45)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.15 (0.74, 1.78)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Covered by union or employee association contract</td><td align="left" valign="top" rowspan="1" colspan="1">21.0%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.40 (0.27, 0.59)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.35 (0.23, 0.53)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.80 (0.53, 1.21)</td><td align="left" valign="top" rowspan="1" colspan="1">0.87 (0.57, 1.34)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.56 (0.32, 0.99)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.82 (0.44, 1.55)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.32 (0.16, 0.62)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.39 (0.19, 0.84)</bold>
</td></tr><tr><td colspan="10" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Career</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;New better job or promotion in current job in past year</td><td align="left" valign="top" rowspan="1" colspan="1">30.8%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.52 (0.39, 0.70)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.62 (0.46, 0.83)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.28 (0.87, 1.87)</td><td align="left" valign="top" rowspan="1" colspan="1">1.12 (0.75, 1.67)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.59 (0.36, 0.95)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.37 (0.23, 0.59)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.69 (0.43, 1.10)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.54 (0.34, 0.88)</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Experience of discrimination in past<sup><xref rid="TFN28" ref-type="table-fn">9</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">&#x000a0;&#x000a0;7.9%</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.27 (0.87, 1.86)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.45 (0.98, 2.16)</td><td align="left" valign="top" rowspan="1" colspan="1">1.32 (0.72, 2.44)</td><td align="left" valign="top" rowspan="1" colspan="1">1.35 (0.77, 2.38)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.97 (2.46, 6.42)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>3.24 (1.92, 5.47)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.26 (0.68, 2.37)</td><td align="left" valign="top" rowspan="1" colspan="1">0.97 (0.50, 1.88)</td></tr></tbody></table><table-wrap-foot><fn id="TFN20"><label>1</label><p id="P67">Either self-employed or work for someone else as an independent contractor.</p></fn><fn id="TFN21"><label>2</label><p id="P68">Category includes on-call workers, those employed by temp. agency, and those whose work is subcontracted out.</p></fn><fn id="TFN22"><label>3</label><p id="P69">Contingent work is defined as a job not expected to last another 12 months.</p></fn><fn id="TFN23"><label>4</label><p id="P70">App-based employment defined as jobs or tasks that connect workers to customers via an app.</p></fn><fn id="TFN24"><label>5</label><p id="P71">High ergonomic demands based on sum of a list of physical demands done some or a lot, then dichotomized at 75th percentile or higher. List includes walking, use of stairs, standing for 4 or more hours a shift, sitting for long periods, stooping, crouching or kneeling, bending or twisting, carrying 10 or 50 lbs., pinching or grabbing, using vibrating tools, and riding in a vehicle.</p></fn><fn id="TFN25"><label>6</label><p id="P72">High cognitive demands based on sum of list of cognitive demands done some or a lot, then dichotomized at 75th percentile or higher. List includes use of computer or other electronic devices, concentration for long periods, and interacting with other people.</p></fn><fn id="TFN26"><label>7</label><p id="P73">Combination of high job demands and low control over job.</p></fn><fn id="TFN27"><label>8</label><p id="P74">Respondents&#x02019; response to item about education level required to do job compared to their reported level of education.</p></fn><fn id="TFN28"><label>9</label><p id="P75">Respondents&#x02019; report of having been fired, not hired, or not receiving a promotion on basis of age, sex, gender identity, sexual orientation, race or ethnic background, and/or disability.</p></fn></table-wrap-foot></table-wrap></floats-group></article>