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<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 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">9918487342606676</journal-id><journal-id journal-id-type="pubmed-jr-id">52225</journal-id><journal-id journal-id-type="nlm-ta">Int J Soc Determinants Health Health Serv</journal-id><journal-id journal-id-type="iso-abbrev">Int J Soc Determinants Health Health Serv</journal-id><journal-title-group><journal-title>International journal of social determinants of health and health services</journal-title></journal-title-group><issn pub-type="ppub">2755-1938</issn><issn pub-type="epub">2755-1946</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39370891</article-id><article-id pub-id-type="pmc">11973228</article-id><article-id pub-id-type="doi">10.1177/27551938241285109</article-id><article-id pub-id-type="manuscript">HHSPA2028788</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>The Health of Those Who Feed Us: An Assessment of Health Inequities Along the United States Food Chain</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Vignola</surname><given-names>Emilia F</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Li</surname><given-names>Jia</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Silver</surname><given-names>Sharon R</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Baron</surname><given-names>Sherry</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA.</aff><aff id="A2"><label>2</label>National Institute for Occupational Safety and Health, Division of Field Studies and Engineering, Cincinnati, OH, USA.</aff><aff id="A3"><label>3</label>Queens College, Barry Commoner Center for Health and the Environment, Flushing, NY, USA.</aff><author-notes><fn fn-type="con" id="FN1"><p id="P1">Author Contributions</p><p id="P2">Completed as part of EV&#x02019;s doctoral dissertation project while affiliated with the City University of New York Graduate School of Public Health and Health Policy. Study conceptualization: EFV, SB. Development of analytic approach: EFV, SB, SS, JL. Data analysis: JL. Original draft preparation: EFV. Manuscript review and editing: EFV, SB, SS, JL. All authors provided critical feedback and helped shape the research. All authors have read and agreed to the published version of the manuscript.</p></fn><corresp id="CR1">Corresponding Author: Emilia F. Vignola, University of Washington School of Public Health, 3890, 15th Ave NE, Seattle, WA, USA, <email>evignola@uw.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>28</day><month>10</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>4</month><year>2025</year></pub-date><pub-date pub-type="epub"><day>07</day><month>10</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>12</day><month>4</month><year>2025</year></pub-date><volume>55</volume><issue>2</issue><fpage>148</fpage><lpage>161</lpage><abstract id="ABS1"><p id="P3">While the health of all depends on the food chain, few studies have focused systematically on the health of food chain workers themselves (production, manufacturing, wholesale, retail, and commercial and institutional services). In this study we used 2018 and 2019 data from the Behavioral Risk Factor Surveillance System (BRFSS) to examine health-related metrics of food chain workers, combined and by industry sector, compared to non-food chain workers, among 32 US states. Logistic regression indicated US food chain workers had higher prevalences of barriers to healthcare access, smoking, no physical exercise, and poor self-reported health than all other workers. Patterns were similar among food chain workers in all industry sectors except wholesale. Additionally, commercial food services workers had higher prevalence of poor mental health, while institutional food services workers had higher prevalences of obesity, diabetes, and hypertension than all other workers. We discuss implications of these results for interventions, with specific attention to improving employment conditions. Food chain worker health is critical for food system sustainability and population health equity.</p></abstract><kwd-group><kwd>food workers</kwd><kwd>food chain</kwd><kwd>healthcare access</kwd><kwd>health status</kwd><kwd>employment conditions</kwd></kwd-group></article-meta></front><body><sec id="S1"><title>Introduction</title><p id="P4">The United States food chain was among the sectors of the economy most affected by the COVID-19 pandemic. Millions of food services workers were laid off with little safety net to rely on,<sup><xref rid="R1" ref-type="bibr">1</xref></sup> while workers in other food chain sectors were deemed essential and continued working, often without adequate workplace safety measures,<sup><xref rid="R2" ref-type="bibr">2</xref></sup> resulting in negative mental health effects<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref></sup> and elevated COVID-19 infection and mortality rates compared to other workforces.<sup><xref rid="R5" ref-type="bibr">5</xref>&#x02013;<xref rid="R7" ref-type="bibr">7</xref></sup> This drew attention to the health consequences of food chain workers&#x02019; employment and working conditions, and to their crucial role in ensuring the food supply for all.</p><p id="P5">Food chain workers constitute the single largest share of the US workforce, estimated at over 21 million workers, or 14% of the workforce, in 2016.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> The food chain has several main sectors (<xref rid="SD1" ref-type="supplementary-material">Appendix A</xref>, <xref rid="SD1" ref-type="supplementary-material">Supplementary Material</xref>): agricultural production (farm workers, fishers, and ranchers); manufacturing and processing (workers involved with converting raw goods into foods ready to sell or eat); wholesale and logistics (truck drivers, forklift operators, and warehouse managers); retail (stockers, cashiers, and in-house cooks involved in food sales in supermarkets, grocery stores, and convenience stores); and services (workers involved with food and drink preparation, serving, and facilities cleaning in commercial and institutional settings).<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R9" ref-type="bibr">9</xref></sup> Each component of the food chain has a different profile in terms of worker demographics, working conditions, and employment conditions (including pay, benefits, job security, and union representation). Understanding these between-sector differences, and their impact on the health of workers in the different sectors, is key to identifying workforce-appropriate resources to address health inequities.</p><p id="P6">Conceptualizing work as a social determinant of health<sup><xref rid="R10" ref-type="bibr">10</xref></sup> encourages a focus on the intersection of work and structural discrimination based on social position (including sex, race, ethnicity, and age) as co-drivers of social inequities in health. This approach also informs consideration of the potential contribution of both working conditions and employment conditions to those health inequities, and of the socio-political and economic forces that drive those conditions in each place. Thus, a social determinants of health framework brings attention to several characteristics and processes that might contribute to health inequities among US food chain workers. Overall, the US food chain is a highly racialized and gendered workforce, with women and Black, Latinx, and Asian people overrepresented but also often performing the lower paid, more manual, and more hidden forms of labor compared to people in the sector who are white.<sup><xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R12" ref-type="bibr">12</xref></sup> Many food chain jobs involve risks, such as injury, workplace violence, or exposure to infectious disease, that are inherent in activities like working with sharp tools or heavy products, in proximity to animals or the public, or in fast-paced environments. In several sectors of the food chain, these risks are exacerbated by components of poor employment quality: lack of job security, inadequate pay, unpredictable schedules, few benefits, and limited workplace power<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R13" ref-type="bibr">13</xref></sup> &#x02013; all of which are associated with mental and physical health harms.<sup><xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R15" ref-type="bibr">15</xref></sup> In the US, more than half of adults obtain health insurance through employment,<sup><xref rid="R16" ref-type="bibr">16</xref></sup> and the level of other social safety net provisions such as unemployment insurance and retirement income are affected by employment as well. Notably, some groups of workers (including many food production and food services workers) have never had access to these provisions through their employment, while others have lost access over time with shifts in the economy and nature of work.<sup><xref rid="R17" ref-type="bibr">17</xref></sup></p><p id="P7">Empirical studies suggest occupational stressors (e.g., workplace injuries, musculoskeletal symptoms), mental health, and physical health issues were common among food production,<sup><xref rid="R18" ref-type="bibr">18</xref>&#x02013;<xref rid="R21" ref-type="bibr">21</xref></sup> retail,<sup><xref rid="R22" ref-type="bibr">22</xref></sup> and service workers<sup><xref rid="R23" ref-type="bibr">23</xref>&#x02013;<xref rid="R25" ref-type="bibr">25</xref></sup> even prior to the COVID-19 pandemic. However, because these are industry-wide studies, identifying priority areas for interventions is difficult. There are few peer-reviewed systematic assessments of food chain workers&#x02019; health, with the exception of an analysis of employer-reported occupational morbidity and mortality by Newman and colleagues (2015).<sup><xref rid="R26" ref-type="bibr">26</xref></sup> The researchers found that the occupational morbidity and mortality rates for food industries as a whole were higher than those of non-food industries combined. Within food industries, food warehousing and storage had the highest occupational morbidity rate, while food production had the highest occupational mortality rate.<sup><xref rid="R26" ref-type="bibr">26</xref></sup> Considering the food chain in its entirety, they argue, can help direct interventions towards this major part of the US economy.</p><p id="P8">To our knowledge, a social determinants of health perspective has not yet been used to systematically assess US food chain workers&#x02019; health. Most public health research involving food workers has focused on the implications of worker knowledge, skills, and beliefs for consumers&#x02019; food safety (e.g., Lipcsei et al., 2018; Feng and Bruhn, 2019; Yang et al., 2019; and Boyce and Schaffner, 2021)<sup><xref rid="R27" ref-type="bibr">27</xref>&#x02013;<xref rid="R30" ref-type="bibr">30</xref></sup> &#x02013; an important topic, but one that generally excludes the health needs and status of food chain workers themselves. Similarly, food system and food justice research, aimed at ensuring universal and environmentally sustainable access to nutritious, affordable, and culturally-appropriate food, often excludes the labor upholding the food system.<sup><xref rid="R31" ref-type="bibr">31</xref></sup> While the relationship between specific occupational exposures and illness and injury is well established for certain segments of the food workforce, a social determinants of health framework<sup><xref rid="R10" ref-type="bibr">10</xref></sup> pushes us to explore how other aspects of workers&#x02019; health and well-being might be linked with their work, and how these aspects might contribute to work-related health inequities across society.</p><p id="P9">This study seeks to fill these gaps in the literature, and to complement Newman and colleagues&#x02019; research, by assessing food chain workers&#x02019; healthcare access, health-related behaviors, and health outcomes, and by identifying needs for food chain subgroup-specific prevention and intervention efforts, including ones related to improving employment conditions. The COVID-19 pandemic brought acute and rapid changes to conditions, workforce sizes, and employer practices in some food industries that are still unfolding in many parts of the US. In order to understand pre-existing stressors associated with food chain work, we aim to describe the baseline health of workers along the food chain before the pandemic by using 2018&#x02013;2019 data from the Behavioral Risk Factor Surveillance System (BRFSS).</p></sec><sec id="S2"><title>Materials and Methods</title><sec id="S3"><title>Study Design</title><p id="P10">We conducted a retrospective analysis of 2018&#x02013;19 data from BRFSS to compare: 1) food chain workers to all other workers combined, and 2) food chain workers by food chain sector (production, manufacturing, wholesale, retail, commercial services, and institutional services) to all other workers combined.</p></sec><sec id="S4"><title>Study Sample</title><p id="P11">The BRFSS is a state-administered telephone survey of US non-institutionalized adults (&#x02265;18 years) that consists of core questions (including the fixed core, asked annually, and the rotating core, asked every other year), optional modules, and questions on health-related topics added by individual states. States and localities can also opt to administer an industry and occupation module to currently and recently employed adults, in which industry and occupation information is collected using the following two questions, respectively: &#x0201c;what kind of work do you do? (for example, registered nurse, janitor, cashier, auto mechanic)&#x0201d; and &#x0201c;what kind of business or industry do you work in? (for example, hospital, elementary school, clothing manufacturing, restaurant).&#x0201d; Responses are recorded in free text form, then coded by the National Institute for Occupational Safety and Health (NIOSH) Industry and Occupation Computerized Coding System or by human coders using computer-assisted coding to the 2010 US Census Bureau industry and occupation codes.<sup><xref rid="R32" ref-type="bibr">32</xref></sup> The industry and occupation module is asked of respondents who report their employment status as &#x0201c;employed for wages,&#x0201d; &#x0201c;out of work for less than 1 year,&#x0201d; or &#x0201c;self-employed.&#x0201d; Only currently employed civilian respondents (employed for wages or self-employed) were considered for the analysis. In 2018 and 2019, 32 states administered the industry and occupation BRFSS optional module at least one of those two years. BRFSS was reviewed by the Instituional Review Board of the Centers for Disease Control and Prevention and determined to be exempt research. Survey information was collected under the United States Office of Management and Budget control number 0920&#x02013;1061.</p><p id="P12">We conceptualized food chain workers as workers, supervisors, and managers who grow, harvest, process, butcher, pack, transport, prepare, serve, or sell food, or who clean the settings where those activities take place. We operationalized this definition using the 2010 US Census industry and occupation codes shown in <xref rid="SD2" ref-type="supplementary-material">Appendix B</xref>. To develop this list, we started with five major census industry groups relevant to the food workforce and chose detailed industry groups within those five major groups that align with six stages of the food chain: production, manufacturing, wholesale, retail, commercial services, and institutional services. We conducted a similar exercise starting with six major census occupation groups relevant to the food workforce and chose detailed occupation groups within those that align with the activities described in our definition. Examples of occupations excluded based on this definition are business and financial operations occupations; most office and administrative support occupations; and installation, maintenance, and repair occupations (i.e., important to the labor process but not involving direct engagement with food). To be thorough, we included respondents who had food-related occupations, but who were not in one of the food industry groups, as &#x0201c;food chain workers in other industries.&#x0201d; Examples of those respondents are cooks in non-specified manufacturing industries, landscaping services, or private households. We present results for that group for interested readers, but do not discuss them because they are a highly heterogenous group and constitute a small share of the food chain.</p></sec><sec id="S5"><title>Measures</title><p id="P13">We analyzed measures of healthcare access (healthcare coverage, access to health provider, and routine check-up, influenza vaccination, and dental visit in the past year); health behaviors (smoking status, binge and heavy drinking in the past month, physical exercise in the past month, and inadequate sleep [&#x0003c;seven hours per 24-hour period]); health status (self-rated general, physical, and mental health); and health outcomes (obesity, coronary heart disease, stroke, current asthma, chronic obstructive pulmonary disease [COPD], depressive disorder, diabetes, arthritis, and hypertension).</p></sec><sec id="S6"><title>Statistical Analysis</title><p id="P14">We conducted logistic regression to obtain prevalence ratios for health-related metrics adjusted for sex, age, and race/ethnicity. Sex, age, and racism are known independent predictors of health and are implicated in processes of occupational segregation that likely contribute to social inequities in health. Household income was excluded in the primary analyses because it is closely associated with occupation and industry. However, we added household income in a second model to facilitate evaluation of income&#x02019;s additional effects; we describe the impact this additional adjustment has on the results.</p><p id="P15">Analyses were conducted using SURVEYFREQ and RLOGISTIC in SAS version 9.4, and SAS-callable SUDAAN version 11.0.1 to account for the complex survey design and to factor in respondent sampling weight in BRFSS. Results were weighted according to state demographics distributions. We considered 95% confidence intervals (CIs) for adjusted prevalence ratios that did not include the null as statistically significant.</p></sec></sec><sec id="S7"><title>Results</title><p id="P16">Of the 222,771 respondents to the 2018&#x02013;2019 BRFSS survey who indicated they were employed or self-employed, 185,114 met the industry and occupation criteria and were included in the analyses. Of these, 19,866 respondents were in the food chain industry and occupations of interest: 7,359 (production), 1,110 (manufacturing), 382 (wholesale), 2,551 (retail), 6,972 (commercial services), 1,042 (institutional services), and 450 (other food industries). The comparison group (all other workers) comprised 165,248 respondents.</p><p id="P17">Food chain workers differed from all other workers on several socio-demographic characteristics (<xref rid="T1" ref-type="table">Table 1</xref>). Food chain workers were more likely to be under the age of 35 (48%) than all other workers (30%). They were more likely to be Hispanic (32%) and less likely to identify with the other race/ethnicity categories available for analysis (50% non-Hispanic white, 10% non-Hispanic African American, and 7.5% non-Hispanic other). Food chain workers were 1.8 times more likely to rent their home and 1.8 times more likely to have a high school education or less than all other workers. Food chain workers were more likely to have household income of less than $50,000; 37% had household incomes of less than $25,000, compared to 14.3% of all other workers. Food chain workers were more likely to live in a nonmetropolitan urban (11%) or nonmetropolitan rural area (9%) than all other workers.</p><p id="P18">There were also significant socio-demographic differences comparing food chain workers by industry to all other workers. Food chain workers in commercial services, retail, and wholesale were more likely to be younger than 25 (33%, 24%, and 18%, respectively) than all other workers (9%), while institutional food services workers were more likely to be between 55 and 64 years of age (26%) than all other workers (19%). Food chain workers in production, manufacturing, and wholesale were more likely to be male (78%, 65%, and 85%, respectively), while institutional food services workers were more likely to be female (77%), than all other workers (54% male). Food chain workers in production, manufacturing, wholesale, and commercial services were more likely to identify as Hispanic (33%, 38%, 32%, and 37%, respectively), while those in institutional services were more likely to identify as Non-Hispanic African American (22%), compared to all other workers.</p><p id="P19">Compared to all other workers. a greater share of respondents had less than a high school education among production (35%), manufacturing (30%), retail (17%), and commercial services (22%), and a greater share of institutional services workers (50%) reported high school as their highest level of education. Food workers in production, retail, and commercial services were most likely to be low income; food workers in manufacturing and institutional services were generally middle income, and workers in food wholesale had the largest percentage of higher income workers.</p><sec id="S8"><title>Healthcare access</title><p id="P20">Food chain workers fared worse on all healthcare access metrics compared to other workers (<xref rid="T2" ref-type="table">Table 2</xref>). The unadjusted prevalences indicate the magnitude of need: food chain workers had higher prevalences of lacking health insurance (27.4% vs 12.4%), lacking a personal doctor (38.6% vs. 24.0%), being unable to visit a doctor due to cost (20.4% vs. 12.7%), and not having a routine checkup (34.6% vs. 27.9%), flu shot (77.6% vs. 66.8%) or dental visit in the past year (43.9% vs. 30.4%). In the regression, the largest difference was in lacking access to health insurance (Adjusted Prevalence Ratio (aPR)=1.77). After adjusting for income, lacking health insurance, lacking a personal doctor, and not having had a flu shot or a dental visit in the prior year remained significantly elevated (<xref rid="SD3" ref-type="supplementary-material">Appendix C1</xref>).</p><p id="P21">Commercial food services workers fared worse on all healthcare access measures compared to non-food chain workers, and food production workers fared worse on all measures except having access to a doctor limited by cost. Food manufacturing and retail workers had higher prevalences of lacking health insurance (aPR=1.40 and aPR=1.48, respectively), cost limiting access to a doctor (aPR=1.63 and aPR=1.37, respectively), and no dental visit in the previous year (aPR=1.43 and aPR=1.23, respectively); food manufacturing workers additionally had higher prevalence of lacking a personal doctor (aPR=1.22). Food wholesale and institutional food services workers did not fare worse than all other workers on any healthcare access measure. Adding income to the model did not substantially change differences in healthcare access among food production and commercial food services workers, while comparisons of the food manufacturing and retail subgroups to all other workers were attenuated and lost statistical significance.</p></sec><sec id="S9"><title>Health behaviors</title><p id="P22">Food chain workers were more likely than all other workers to be current smokers and to not participate in physical exercise (aPR=1.39 and aPR=1.47, respectively, <xref rid="T3" ref-type="table">Table 3</xref>). After adjusting for income, the difference for smoking lost statistical significance (<xref rid="SD3" ref-type="supplementary-material">Appendix C2</xref>). There were no significant differences between food chain workers and all other workers in the three other health behavior measures included in the analysis (binge drinking, heavy drinking, and short sleep).</p><p id="P23">Prevalence of being current smokers was higher among food workers in manufacturing (aPR=1.62), retail (aPR=1.44), institutional services (aPR=1.57), and commercial services (aPR=1.49) compared to non-food chain workers. Food wholesale workers had higher prevalence of binge drinking than non-food chain workers (aPR=1.54). All food chain workers except food wholesale had higher prevalence of no exercise in the previous month, while food wholesale workers had higher prevalence of short sleep than non-food chain workers (aPR=1.42). Several of these differences lost significance when income was added to the model. There were no differences in prevalence of heavy drinking.</p></sec><sec id="S10"><title>Health status and outcomes</title><p id="P24">Food chain workers had higher prevalence of fair or poor health, poor physical health, and poor mental health than all other workers (aPR=1.48, aPR=1.24, and aPR=1.26, respectively, <xref rid="T4" ref-type="table">Table 4</xref>). They also had higher prevalence of stroke (aPR=1.38), COPD (aPR=1.21), and depressive disorder (aPR=1.17) than all other workers. Adding income to the model, food chain workers had an attenuated but still significantly higher prevalence of fair/poor health than all other workers (<xref rid="SD3" ref-type="supplementary-material">Appendix C3</xref>).</p><p id="P25">All food chain workers except those in wholesale had higher prevalence of fair or poor health than non-food chain workers. Prevalence of poor physical health was higher among food workers in retail (aPR=1.63), institutional services (aPR=1.57), and commercial services (aPR=1.30) compared to non-food chain workers. Commercial food services workers had higher prevalence of poor mental health than non-food chain workers (aPR=1.43).</p><p id="P26">Commercial food services had higher prevalence of coronary heart disease (aPR=1.35), COPD (aPR=1.30), and depressive disorder (aPR=1.27). Food retail workers had higher prevalence of stroke (aPR=1.79), depressive disorder (aPR=1.29), and arthritis (aPR=1.23). Institutional food services workers had higher prevalence of obesity (aPR=1.36), diabetes (aPR=1.60), and hypertension (aPR=1.58). Food production workers had higher prevalence of stroke (aPR=1.66), but along with food wholesale workers, had no other significant differences in prevalences of health outcomes compared to non-food chain workers. Some of these differences were attenuated and lost statistical significance after adjusting for income. Higher prevalences of fair or poor health and poor mental health remained statistically significant among commercial food services workers, while higher prevalences of obesity, diabetes, and hypertension remained statistically significant among institutional food services workers.</p></sec></sec><sec id="S11"><title>Discussion</title><p id="P27">Results from this examination of 2018&#x02013;2019 BRFSS data indicate that, collectively, food chain workers had higher prevalences of barriers to healthcare access (lacking health insurance, lacking a personal doctor, and not having a flu shot or dental visit in the past year), smoking, no physical exercise, and poor self-reported health than all other workers. Patterns were similar for food chain workers in all industry sectors except wholesale, a group that was similar to all other workers. Additionally, commercial food services workers had higher prevalence of poor mental health, while institutional food services workers had higher prevalences of obesity, diabetes, and hypertension than all other workers. Most point estimates decreased somewhat after adjusting for income but retained statistical significance.</p><p id="P28">A focus on the entire food chain allows consideration of workers in different industries and occupations but who are unified by their role in the food system. A social determinants of health framework helps highlight the fact that unfortunately, though there are exceptions, many food chain workers are also unified by poor employment quality, as many food jobs are nonsupervisory positions with little job security, inadequate or unstable pay, unpredictable schedules, few benefits, and limited workplace power.<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R13" ref-type="bibr">13</xref></sup> The food processing, wholesale, and retail industries have higher unionization rates (12.7%, 8.1%, and 13.9%, respectively, in 2015, based on the latest available comprehensive assessment conducted by the Food Chain Workers Alliance)<sup><xref rid="R8" ref-type="bibr">8</xref></sup> than average for the food chain workforce as a whole (6%), allowing workers to negotiate for better employment and work conditions than those in non-unionized positions. However, unionization in food production (1.4%) and services (1.6%), especially commercial food services, remains dismally low,<sup><xref rid="R8" ref-type="bibr">8</xref></sup> in context of low union membership nationwide.<sup><xref rid="R33" ref-type="bibr">33</xref></sup> The poor quality of employment in the food chain is attributed partly to historical exclusions of agricultural, service, and other workers from key labor protections (a practice with racist and anti-immigrant roots),<sup><xref rid="R11" ref-type="bibr">11</xref></sup> as well as increased consolidation of food chain components by large corporations,<sup><xref rid="R34" ref-type="bibr">34</xref></sup> whose use of temporary labor contracting to save costs, long common in food production where most workers are seasonal, has increased in food manufacturing, wholesale, and services. This strategy allows companies to avoid paying higher wages and providing health insurance and other benefits.<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R35" ref-type="bibr">35</xref></sup></p><p id="P29">Guided by the understanding that work is a social determinant of health and health equity,<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R36" ref-type="bibr">36</xref></sup> evidence of health issues from both employer-reported<sup><xref rid="R26" ref-type="bibr">26</xref></sup> and worker-reported data (the present study) among food chain workers strengthens the case for public health researchers and practitioners to turn our attention to the well-being of food chain workers, and not only to their role in preventing foodborne illness, in both our research and the types of interventions that should follow. In addition to workplace support for smoking cessation and physical exercise interventions, policies that ensure a living wage,<sup><xref rid="R37" ref-type="bibr">37</xref></sup> universal healthcare,<sup><xref rid="R38" ref-type="bibr">38</xref>,<xref rid="R39" ref-type="bibr">39</xref></sup> federal paid sick leave,<sup><xref rid="R40" ref-type="bibr">40</xref></sup> and protection of the right to organize,<sup><xref rid="R41" ref-type="bibr">41</xref>,<xref rid="R42" ref-type="bibr">42</xref></sup> regardless of full- or part-time employee status, would all likely help reduce the inequities in healthcare access, health behaviors, and health outcomes between food chain workers and the rest of the workforce. An assessment of the 100 largest food companies in the US found that few have pro-worker policies &#x02013; for example related to a living wage, freedom of association, and training &#x02013; and where these exist, they are often not implemented well or enforced.<sup><xref rid="R34" ref-type="bibr">34</xref></sup> Employers clearly have an important role in providing these protections. Policy approaches that decouple vital resources such as health insurance from employment and ensure the right of all workers to a living wage are also needed to ensure social protection for all. Strengthening workers&#x02019; influence in ensuring working conditions that enhance, rather than detract from, their health is also key.</p><p id="P30">Our results also highlight specific groups with the highest needs for workforce-specific resources such as prevention measures and interventions to improve working conditions and for effectiveness research to gauge the success of these changes. Though food wholesale workers, who are among the highest paid workers across the food chain,<sup><xref rid="R9" ref-type="bibr">9</xref></sup> did not fare as poorly as other food chain workers, they did have higher prevalences of binge drinking and short sleep. There is limited prior health research on this specific workgroup; however, among workers in the transportation/warehousing industry generally, existing studies suggest elevated rates of short sleep,<sup><xref rid="R43" ref-type="bibr">43</xref></sup> but not excessive alcohol consumption.<sup><xref rid="R44" ref-type="bibr">44</xref></sup> Additional research is needed to corroborate and explore the reasons for both positive and negative findings among food wholesale workers.</p><p id="P31">Our finding of higher prevalence of poor mental health among commercial food services workers builds on prior research linking tipped service work with risk for developing mental illness.<sup><xref rid="R45" ref-type="bibr">45</xref></sup> Possible explanations include irregular and unstable scheduling, which results in income instability and has been linked with psychological distress among hourly workers in services.<sup><xref rid="R22" ref-type="bibr">22</xref></sup> Workers in commercial food services can also experience stressors related to the emotional labor of interacting with customers and managing sexualized or hostile customer behavior, which is associated with adverse mental health.<sup><xref rid="R25" ref-type="bibr">25</xref>,<xref rid="R46" ref-type="bibr">46</xref></sup></p><p id="P32">Systematic data on institutional food jobs are lacking, as commercial and institutional food services workers are combined in most publicly available datasets, and there is limited prior research on the health of institutional food services workers. Institutional food services workers were more likely to be women between 55 and 64 years of age and to identify as African American than non-food chain workers. The regressions included age, gender, and race/ethnicity, but those variables may not fully account for differential exposure to stressors over the lifetime, including structural anti-Black racism, that increase barriers to healthcare and risk for a range of chronic diseases,<sup><xref rid="R47" ref-type="bibr">47</xref></sup> including the elevated levels of obesity, hypertension, and diabetes that we observed. Though institutional food services workers constitute a smaller share of the food workforce than commercial food services workers (e.g., in 2019 there were 402,480 institutional and cafeteria cooks compared to 1,401,890 restaurant cooks),<sup><xref rid="R48" ref-type="bibr">48</xref></sup> their higher prevalence of chronic health conditions and the strong role of the US government in setting standards and pay for these workers make them an important group to prioritize for intervention.</p><p id="P33">Among the study strengths, using both industry and occupation codes to isolate food chain workers allowed for more specificity than using industry alone, and disaggregating two types of food services workers revealed specific health needs among commercial and institutional food services workers that might not have emerged had the food services workers been grouped together. Strengths also pertain to the BRFSS&#x02019;s large sample size, standardized weighting across states, and validated health measures. The COVID-19 pandemic highlighted the crucial role of food chain workers in society, as well as differences within the food chain that have implications for health inequities. BRFSS 2018&#x02013;2019 data include the last pre-pandemic year and thus provide the best opportunity to obtain a baseline on the health and well-being of workers in different parts of the food chain. This baseline data creates the opportunity for future analyses of changes in food chain worker health and health inequities since the start of the pandemic that can take pre-existing stressors into account.</p><p id="P34">The study also has limitations. First, we excluded subsectors that are sometimes included in food chain conceptualizations, namely, those responsible for supplying manufactured inputs to the production sector (e.g., the agricultural chemical manufacturing industry), and for dealing with food loss, waste, and recovery. Second, the specific way industry and occupation are coded introduces some rigidity in the groups of food workers it was possible to isolate in the analysis (e.g., it is not possible to isolate food delivery workers classified as independent contractors). Misclassification bias is also possible because of errors in industry and occupation coding. Third, BRFSS is not nationally representative because 32 states used the optional industry and occupation module in 2018 and 2019, and the sample was designed to be representative across age, race/ethnicity, and gender, but not in terms of industry and occupation. Health indicators and outcomes are self-reported and thus subject to recall bias and social desirability bias; this may contribute to an underestimation of the true prevalence of harmful health behaviors and adverse health outcomes in this sample. Fourth, the income-adjusted models for the comparison of food chain sub-groups to all other workers are likely to be over adjusted, since income is part of the mechanism by which work influences health. However, the income-adjusted models are more useful for the first comparison, between all food chain workers and all other workers, given the variation in industries and occupations of the two groups.</p><p id="P35">The US food chain is a highly racialized and gendered workforce, with women and Black, Latinx, and Asian people both overrepresented and performing the lower paid forms of labor compared to whites in the sector.<sup><xref rid="R11" ref-type="bibr">11</xref></sup> There were clear signs of this occupational segregation in this analysis. Compared to the rest of the workforce, commercial food services workers were more likely to be younger, Hispanic, and to have less education and lower incomes; food manufacturing workers were more likely to be male, Hispanic, and to have less education but higher incomes; and institutional food services workers were more likely to be older, female, and African American, with higher levels of education and household income. This variation has implications for the ways work along the food chain might influence health risks, and for the types of interventions that might follow. This analysis points to the need for more granular work information in large-scale surveys such as the BRFSS to explore the relationship between work conditions, worker demographics and social stratification processes, and health. More broadly, conceptualizing work as a social determinant of health leads to the conclusion that addressing the health inequities observed in this study will require changing the socio-political and economic drivers of occupational segregation and low-quality employment.</p><p id="P36">A 2017 American Public Health Association policy statement notes that the millions of farm workers and food production workers in the US who help meet the public health goal of ensuring an accessible supply of nutritious food face poor employment and work conditions, contributing to health disparities.<sup><xref rid="R49" ref-type="bibr">49</xref></sup> The statement makes the case for expanding sustainable food systems goals of food safety, accessibility, environmental protection, and animal welfare to include just and equitable labor practices. The results of this study support extending this argument to the entire food chain and to health issues beyond occupational injuries, by integrating a concern for food chain workers&#x02019; health and well-being, and the employer practices and labor policies contributing to these outcomes, into the broader public health goals of ensuring sustainable and equitable food systems and reducing health inequities driven by social determinants including work.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Appendix A</label><media xlink:href="NIHMS2028788-supplement-Appendix_A.docx" id="d67e463" position="anchor"/></supplementary-material><supplementary-material id="SD2" position="float" content-type="local-data"><label>Appendix B</label><media xlink:href="NIHMS2028788-supplement-Appendix_B.docx" id="d67e466" position="anchor"/></supplementary-material><supplementary-material id="SD3" position="float" content-type="local-data"><label>Appendix C</label><media xlink:href="NIHMS2028788-supplement-Appendix_C.docx" id="d67e469" position="anchor"/></supplementary-material></sec></body><back><ack id="S12"><title>Acknowledgments</title><p id="P37">The authors wish to acknowledge helpful suggestions from Nicholas Freudenberg and Emma Tsui on earlier drafts of this article.</p><sec id="S13"><title>Funding</title><p id="P38">This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.</p></sec></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P39">Declaration of Conflicting Interests</p><p id="P40">The authors declare that there is no conflict of interest.</p></fn><fn id="FN3"><p id="P41">Ethics Approval and Informed Consent</p><p id="P42">BRFSS was reviewed by the Human Research Protection Office of the Centers for Disease Control and Prevention and determined to be exempt research. Survey information was collected under the United States Office of Management and Budget control number 0920&#x02013;1061.</p></fn><fn id="FN4"><p id="P43">Disclaimer</p><p id="P44">The findings and conclusions presented in this article are those of the authors and do not necessarily reflect the official position of the National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="book"><source>The Impact of COVID-19 on Restaurant Workers Across America</source>. <publisher-name>Restaurant Opportunities Center United</publisher-name>; <year>2022</year>. <date-in-citation>Accessed December 21, 2022</date-in-citation>. <comment><ext-link xlink:href="https://rocunited.org/wp-content/uploads/sites/7/2022/06/ROC_COVID_Impact_2.pdf" ext-link-type="uri">https://rocunited.org/wp-content/uploads/sites/7/2022/06/ROC_COVID_Impact_2.pdf</ext-link></comment></mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="book"><source>Voices From the Front Lines of America&#x02019;s Food Supply</source>. <publisher-name>The New York Times</publisher-name>. <comment><ext-link xlink:href="https://www.nytimes.com/live/2021/01/05/dining/food-industry-coronavirus" ext-link-type="uri">https://www.nytimes.com/live/2021/01/05/dining/food-industry-coronavirus</ext-link>. 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<hr/>
</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">
<bold>Characteristic</bold>
</th><th align="center" valign="middle" rowspan="1" colspan="1">
<bold>All Food Chain Workers</bold>
</th><th align="center" valign="middle" rowspan="1" colspan="1">Food Production</th><th align="center" valign="middle" rowspan="1" colspan="1">Food Manufacturing</th><th align="center" valign="middle" rowspan="1" colspan="1">Food Wholesale</th><th align="center" valign="middle" rowspan="1" colspan="1">Food Retail</th><th align="center" valign="middle" rowspan="1" colspan="1">Commercial Food Services</th><th align="center" valign="middle" rowspan="1" colspan="1">Institutional Food Services</th><th align="center" valign="middle" rowspan="1" colspan="1">Food Chain Workers in Other Industries</th><th align="center" valign="middle" rowspan="1" colspan="1">
<bold>All Other Workers</bold>
</th></tr></thead><tbody><tr><td colspan="10" align="center" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age 18 to 24</td><td align="center" valign="middle" rowspan="1" colspan="1">24.3 (22.7, 26.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.0 (6.9, 11.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.4 (8.4, 17.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.7 (9.3, 29.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">24.6 (20.1, 29.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">33.4 (30.8, 36.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">5.7 (3.6, 8.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">18.8 (11.0, 29.1)</td><td align="right" valign="top" rowspan="1" colspan="1">8.8 (8.5, 9.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age 25 to 34</td><td align="center" valign="middle" rowspan="1" colspan="1">24.0 (22.5, 25.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">20.7 (17.1, 24.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">23.2 (18.0, 29.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">24.9 (14.2, 38.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">23.0 (19.2, 27.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">26.3 (24.0, 28.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.5 (8.7, 17.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">31.5 (16.8, 49.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">21.2 (20.7, 21.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age 35 to 44</td><td align="center" valign="middle" rowspan="1" colspan="1">18.3 (17.0, 19.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">22.6 (19.1, 26.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">20.8 (15.3, 27.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">14.0 (8.3, 21.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.4 (12.8, 20.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.2 (15.5, 19.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">21.5 (16.2, 27.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.9 (5.4, 16.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">22.3 (21.8, 22.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age 45 to 54</td><td align="center" valign="middle" rowspan="1" colspan="1">15.4 (14.2, 16.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.8 (15.1, 20.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">19.1 (15.1, 23.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">23.9 (15.8, 33.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.2 (13.2, 19.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.7 (11.1, 14.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">25.4 (19.0, 32.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.4 (10.2, 24.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">22.4 (21.9, 22.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age 55 to 64</td><td align="center" valign="middle" rowspan="1" colspan="1">11.8 (10.8, 12.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.1 (14.9, 19.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.8 (12.5, 21.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">15.1 (9.9, 21.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">13.3 (10.6, 16.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">7.4 (6.3, 8.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">26.3 (21.2, 31.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.6 (6.3, 21.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">18.6 (18.1, 19.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age 65 or older</td><td align="center" valign="middle" rowspan="1" colspan="1">6.1 (5.2, 7.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.8 (11.0, 14.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">7.8 (4.1, 13.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">4.3 (2.4, 6.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.4 (5.0, 7.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.0 (1.7, 4.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">8.7 (5.8, 12.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">10.8 (3.1, 24.9)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">6.7 (6.5, 7.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="center" valign="middle" rowspan="1" colspan="1">55.9 (54.1, 57.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">78.2 (74.7, 81.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">64.8 (58.6, 70.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">84.5 (77.5, 89.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">54.2 (49.4, 58.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">48.9 (46.2, 51.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">22.8 (17.5, 28.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.3 (30.4, 56.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">54.1 (53.5, 54.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="center" valign="middle" rowspan="1" colspan="1">44.1 (42.3, 45.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">21.8 (18.5, 25.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">35.2 (29.3, 41.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">15.5 (10.1, 22.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">45.8 (41.1, 50.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">51.1 (48.4, 53.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">77.2 (71.2, 82.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.7 (43.1, 69.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">45.9 (45.4, 46.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race/Ethnicity</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-Hispanic white</td><td align="center" valign="middle" rowspan="1" colspan="1">50.0 (48.2, 51.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">62.5 (58.4, 66.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.4 (37.1, 49.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.6 (36.7, 58.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">63.9 (59.1, 68.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">41.9 (39.4, 44.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">55.6 (48.7, 62.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">46.7 (33.3, 60.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">61.3 (60.7, 61.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-Hispanic African American</td><td align="center" valign="middle" rowspan="1" colspan="1">10.0 (9.0, 11.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">1.4 (0.8, 2.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.0 (8.8, 15.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.1 (6.5, 31.0)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">9.1 (7.0, 11.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">11.9 (10.4, 13.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">21.8 (16.9, 27.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">15.6 (4.3, 35.6)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">11.7 (11.3, 12.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-Hispanic other</td><td align="center" valign="middle" rowspan="1" colspan="1">7.5 (6.4, 8.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.5 (1.7, 6.3)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">6.6 (3.4, 11.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">4.3 (1.5, 9.4)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">9.6 (6.7, 13.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.0 (7.2, 11.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.3 (2.7, 12.4)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">3.8 (2.0, 6.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.3 (8.8, 9.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hispanic</td><td align="center" valign="middle" rowspan="1" colspan="1">32.4 (30.6, 34.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">32.6 (28.8, 36.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.0 (31.6, 44.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">32.0 (21.3, 44.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.4 (13.8, 21.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">37.2 (34.5, 40.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.3 (10.6, 23.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">33.8 (20.1, 49.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.8 (17.3, 18.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Marital status</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Married</td><td align="center" valign="middle" rowspan="1" colspan="1">37.6 (35.8, 39.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">57.1 (53.1, 61.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">45.0 (38.6, 51.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.6 (45.2, 67.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">36.3 (31.8, 41.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">28.0 (25.7, 30.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.9 (41.2, 54.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">37.9 (25.2, 51.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.3 (55.7, 56.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not married</td><td align="center" valign="middle" rowspan="1" colspan="1">62.4 (60.7, 64.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">42.9 (39.0, 46.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">55.0 (48.4, 61.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.4 (32.5, 54.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">63.7 (58.9, 68.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">72.0 (69.7, 74.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">52.1 (45.4, 58.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">62.1 (48.1, 74.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.7 (43.2, 44.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Education</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Below high school</td><td align="center" valign="middle" rowspan="1" colspan="1">24.1 (22.4, 26.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">35.0 (31.0, 39.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">30.0 (24.1, 36.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.6 (7.0, 31.1)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">17.2 (12.5, 22.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">22.4 (19.9, 25.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.4 (8.2, 17.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">26.6 (13.5, 43.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">8.9 (8.5, 9.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;High school graduate</td><td align="center" valign="middle" rowspan="1" colspan="1">36.3 (34.6, 38.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">30.3 (26.7, 34.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.0 (31.8, 44.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.4 (28.1, 49.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.6 (34.2, 43.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">36.6 (34.1, 39.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.9 (41.3, 54.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.2 (24.6, 53.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">24.2 (23.7, 24.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Some college or technical school</td><td align="center" valign="middle" rowspan="1" colspan="1">28.3 (26.7, 29.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">20.5 (18.0, 23.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">22.2 (16.9, 28.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">33.0 (23.3, 43.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">31.9 (27.6, 36.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">30.7 (28.2, 33.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">30.8 (24.5, 37.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">25.7 (16.8, 36.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">30.6 (30.1, 31.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;College graduate or more</td><td align="center" valign="middle" rowspan="1" colspan="1">11.3 (10.4, 12.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">14.3 (12.3, 16.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.7 (7.1, 12.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.0 (7.6, 17.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.3 (9.9, 15.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">10.3 (9.0, 11.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.0 (5.9, 13.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.5 (6.1, 13.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">36.3 (35.8, 36.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Household income</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x0003c;$10,000</td><td align="center" valign="middle" rowspan="1" colspan="1">5.8 (4.8, 6.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">4.8 (3.2, 6.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.3 (3.0, 11.3)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">
<xref rid="TFN4" ref-type="table-fn">**</xref>
</td><td align="center" valign="middle" rowspan="1" colspan="1">4.2 (2.4, 6.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">7.1 (5.6, 8.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">4.1 (1.9, 7.6)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">0.7 (0.1, 2.3)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">1.9 (1.7, 2.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;$10,000-$14,999</td><td align="center" valign="middle" rowspan="1" colspan="1">7.0 (5.8, 8.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.6 (4.7, 9.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.6 (1.4, 7.3)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">
<xref rid="TFN4" ref-type="table-fn">**</xref>
</td><td align="center" valign="middle" rowspan="1" colspan="1">8.0 (5.2, 11.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">7.6 (5.6, 10.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.3 (3.1, 11.3)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">
<xref rid="TFN4" ref-type="table-fn">**</xref>
</td><td align="center" valign="middle" rowspan="1" colspan="1">2.0 (1.9, 2.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;$15,000-$19,999</td><td align="center" valign="middle" rowspan="1" colspan="1">10.9 (9.8, 12.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.0 (6.6, 12.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">11.0 (7.1, 16.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.6 (1.4, 7.5)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">10.3 (7.7, 13.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.2 (10.6, 13.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">11.3 (7.6, 15.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.2 (3.4, 19.1)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">4.0 (3.8, 4.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;$20,000-$24,999</td><td align="center" valign="middle" rowspan="1" colspan="1">13.4 (12.1, 14.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.2 (7.3, 11.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">14.1 (9.6, 19.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">5.5 (2.3, 10.9)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">14.4 (11.0, 18.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">14.9 (13.0, 16.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.8 (12.1, 22.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">8.7 (5.0, 13.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.4 (6.1, 6.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;$25,000-$34,999</td><td align="center" valign="middle" rowspan="1" colspan="1">14.1 (12.6, 15.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.5 (9.9, 15.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.7 (8.5, 17.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">11.8 (5.0, 22.6)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">10.0 (7.3, 13.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">15.1 (13.0, 17.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.1 (11.7, 21.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">34.0 (16.2, 55.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">8.2 (7.8, 8.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;$35,000-$49,999</td><td align="center" valign="middle" rowspan="1" colspan="1">14.7 (13.4, 16.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.0 (13.6, 20.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">18.7 (13.8, 24.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">18.7 (7.8, 34.8)<xref rid="TFN3" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">12.5 (10.1, 15.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">13.3 (11.6, 15.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.7 (11.7, 25.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">18.6 (10.7, 29.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">11.9 (11.6, 12.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;$50,000-$74,999</td><td align="center" valign="middle" rowspan="1" colspan="1">12.8 (11.7, 13.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.1 (13.5, 18.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">12.6 (8.9, 17.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">23.0 (14.7, 33.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">14.3 (11.1, 17.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">10.8 (9.3, 12.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">13.0 (8.6, 18.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">7.7 (4.3, 12.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">16.1 (15.7, 16.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x0003e;=$75,000</td><td align="center" valign="middle" rowspan="1" colspan="1">21.5 (19.7, 23.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">24.7 (21.3, 28.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">21.1 (15.3, 28.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">35.8 (25.1, 47.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">26.3 (21.0, 32.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">19.0 (16.5, 21.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">14.7 (10.5, 19.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">15.9 (8.9, 25.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">49.5 (48.8, 50.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Housing status</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Own home</td><td align="center" valign="middle" rowspan="1" colspan="1">47.9 (46.1, 49.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">64.9 (60.9, 68.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">52.7 (46.2, 59.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">59.4 (47.0, 71.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">49.4 (44.5, 54.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.5 (35.8, 41.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">64.2 (58.0, 70.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">52.9 (38.4, 67.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">70.6 (70.1, 71.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Rent home or other arrangement</td><td align="center" valign="middle" rowspan="1" colspan="1">52.1 (50.2, 53.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">35.1 (31.3, 39.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.3 (40.9, 53.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">40.6 (29.0, 53.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">50.6 (45.8, 55.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">61.5 (58.7, 64.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">35.8 (29.9, 42.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.1 (33.0, 61.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">29.4 (28.9, 29.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Location</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Metropolitan</td><td align="center" valign="middle" rowspan="1" colspan="1">81.1 (80.0, 82.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">58.0 (54.4, 61.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">78.2 (74.0, 81.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">83.4 (76.1, 89.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">84.7 (81.9, 87.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">89.9 (88.8, 90.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">73.8 (67.6, 79.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">80.2 (71.9, 87.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">87.3 (87.0, 87.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Nonmetropolitan urban</td><td align="center" valign="middle" rowspan="1" colspan="1">10.0 (9.2, 10.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">17.4 (15.0, 20.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">11.4 (8.7, 14.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.3 (5.2, 15.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">10.0 (7.8, 12.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.5 (5.7, 7.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">14.4 (10.3, 19.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">13.8 (8.2, 21.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">7.5 (7.3, 7.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Nonmetropolitan rural</td><td align="center" valign="middle" rowspan="1" colspan="1">8.9 (8.2, 9.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">24.5 (21.9, 27.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">10.5 (8.1, 13.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">7.3 (3.8, 12.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">5.3 (4.1, 6.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.7 (3.1, 4.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">11.8 (7.7, 17.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">5.9 (3.7, 8.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">5.2 (5.0, 5.4)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P46">Abbreviation: Confidence Interval (CI)</p></fn><fn id="TFN2"><label>a</label><p id="P47">California, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Iowa, Kansas, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Vermont, Washington, Wisconsin.</p></fn><fn id="TFN3"><label>*</label><p id="P48">30%&#x0003c;Relative Standard Error (RSE)&#x0003c;=50%, interpret with caution.</p></fn><fn id="TFN4"><label>**</label><p id="P49">RSE&#x0003e;50%, suppressed.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2.</label><caption><p id="P50">Prevalence estimates and adjusted prevalence ratios for healthcare access metrics: all other workers compared to all food chain workers and to food chain workers by sector, 2018&#x02013;2019 Behavioral Risk Factor Surveillance System (BRFSS).<sup><xref rid="TFN6" ref-type="table-fn">a</xref></sup></p></caption><table frame="below" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">Not covered by health plan</th><th align="center" valign="middle" rowspan="1" colspan="1">No personal doctor</th><th align="center" valign="middle" rowspan="1" colspan="1">No routine checkup within 1 year</th><th align="center" valign="middle" rowspan="1" colspan="1">Access to doctor limited by cost</th><th align="center" valign="middle" rowspan="1" colspan="1">No flu shot in past year</th><th align="center" valign="middle" rowspan="1" colspan="1">No dental visit in past year<sup><xref rid="TFN8" ref-type="table-fn">c</xref></sup></th></tr><tr><th colspan="7" align="left" valign="top" rowspan="1">
<hr/>
</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Workers</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup> (95% CI)</th></tr></thead><tbody><tr><td colspan="7" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">All other workers</td><td align="center" valign="top" rowspan="1" colspan="1">12.4 (12.0, 12.8) <italic toggle="yes">Ref.</italic></td><td align="center" valign="top" rowspan="1" colspan="1">24.0 (23.5, 24.5)</td><td align="center" valign="top" rowspan="1" colspan="1">27.9 (27.4, 28.5)</td><td align="center" valign="top" rowspan="1" colspan="1">12.7 (12.3, 13.1)</td><td align="center" valign="top" rowspan="1" colspan="1">66.8 (66.2, 67.3)</td><td align="center" valign="top" rowspan="1" colspan="1">30.4 (29.7, 31.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">All food chain workers</td><td align="center" valign="top" rowspan="1" colspan="1">27.4 (25.7, 29.1)<break/>1.77 (1.64, 1.91)</td><td align="center" valign="top" rowspan="1" colspan="1">38.6 (36.8, 40.4)<break/>1.32 (1.25, 1.39)</td><td align="center" valign="top" rowspan="1" colspan="1">34.6 (32.8, 36.4)<break/>1.12 (1.06, 1.19)</td><td align="center" valign="top" rowspan="1" colspan="1">20.4 (19.0, 21.9)<break/>1.41 (1.30, 1.53)</td><td align="center" valign="top" rowspan="1" colspan="1">77.6 (76.0, 79.1)<break/>1.12 (1.10, 1.15)</td><td align="center" valign="top" rowspan="1" colspan="1">43.9 (41.3, 46.5)<break/>1.34 (1.25, 1.44)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">All food chain workers by sector</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Production</td><td align="center" valign="top" rowspan="1" colspan="1">30.7 (26.8, 34.9)<break/>2.12 (1.82, 2.47)</td><td align="center" valign="top" rowspan="1" colspan="1">40.8 (36.8, 44.9)<break/>1.48 (1.33, 1.65)</td><td align="center" valign="top" rowspan="1" colspan="1">40.5 (36.6, 44.6)<break/>1.33 (1.20, 1.48)</td><td align="center" valign="top" rowspan="1" colspan="1">11.6 (9.3, 14.2)<break/>0.93 (0.76, 1.15)</td><td align="center" valign="top" rowspan="1" colspan="1">76.7 (73.4, 79.8)<break/>1.13 (1.08, 1.18)</td><td align="center" valign="top" rowspan="1" colspan="1">45.9 (40.4, 51.5)<break/>1.42 (1.24, 1.62)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Manufacturing</td><td align="center" valign="top" rowspan="1" colspan="1">22.4 (17.4, 28.0)<break/>1.40 (1.10, 1.79)</td><td align="center" valign="top" rowspan="1" colspan="1">34.5 (28.4, 40.9)<break/>1.22 (1.03, 1.44)</td><td align="center" valign="top" rowspan="1" colspan="1">30.4 (24.6, 36.8)<break/>1.02 (0.84, 1.24)</td><td align="center" valign="top" rowspan="1" colspan="1">22.4 (17.0, 28.6)<break/>1.63 (1.25, 2.11)</td><td align="center" valign="top" rowspan="1" colspan="1">74.5 (67.9, 80.3)<break/>1.07 (0.99, 1.17)</td><td align="center" valign="top" rowspan="1" colspan="1">47.9 (38.3, 57.7)<break/>1.43 (1.16, 1.76)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Wholesale</td><td align="center" valign="top" rowspan="1" colspan="1">19.3 (11.4, 29.4)<break/>1.09 (0.69, 1.75)</td><td align="center" valign="top" rowspan="1" colspan="1">34.3 (24.1, 45.8)<break/>1.05 (0.76, 1.46)</td><td align="center" valign="top" rowspan="1" colspan="1">26.0 (17.5, 36.0)<break/>0.79 (0.55, 1.13)</td><td align="center" valign="top" rowspan="1" colspan="1">7.2 (2.7, 15.0)*<break/>0.53 (0.24, 1.13)</td><td align="center" valign="top" rowspan="1" colspan="1">77.7 (68.6, 85.2)<break/>1.10 (0.97, 1.23)</td><td align="center" valign="top" rowspan="1" colspan="1">29.5 (15.1, 47.7)<break/>0.80 (0.44, 1.44)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Retail</td><td align="center" valign="top" rowspan="1" colspan="1">19.1 (15.2, 23.5)<break/>1.48 (1.19, 1.84)</td><td align="center" valign="top" rowspan="1" colspan="1">25.8 (22.1, 29.8)<break/>0.95 (0.81, 1.10)</td><td align="center" valign="top" rowspan="1" colspan="1">29.3 (25.2, 33.6)<break/>0.97 (0.83, 1.13)</td><td align="center" valign="top" rowspan="1" colspan="1">18.3 (14.9, 22.0)<break/>1.37 (1.13, 1.67)</td><td align="center" valign="top" rowspan="1" colspan="1">73.3 (68.0, 78.1)<break/>1.07 (1.00, 1.15)</td><td align="center" valign="top" rowspan="1" colspan="1">38.4 (32.6, 44.3)<break/>1.23 (1.05, 1.44)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Institutional Food Services</td><td align="center" valign="top" rowspan="1" colspan="1">12.5 (8.0, 18.2)<break/>1.20 (0.85, 1.70)</td><td align="center" valign="top" rowspan="1" colspan="1">18.8 (13.8, 24.6)<break/>1.06 (0.84, 1.33)</td><td align="center" valign="top" rowspan="1" colspan="1">19.9 (15.4, 25.0)<break/>0.91 (0.73, 1.14)</td><td align="center" valign="top" rowspan="1" colspan="1">14.1 (10.1, 18.9)<break/>1.10 (0.81, 1.50)</td><td align="center" valign="top" rowspan="1" colspan="1">60.2 (53.6, 66.6)<break/>0.96 (0.87, 1.06)</td><td align="center" valign="top" rowspan="1" colspan="1">32.3 (24.6, 40.8)<break/>1.14 (0.91, 1.44)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Commercial Food Services</td><td align="center" valign="top" rowspan="1" colspan="1">31.1 (28.6, 33.7)<break/>1.86 (1.70, 2.04)</td><td align="center" valign="top" rowspan="1" colspan="1">44.0 (41.3, 46.7)<break/>1.41 (1.31, 1.51)</td><td align="center" valign="top" rowspan="1" colspan="1">36.0 (33.3, 38.7)<break/>1.13 (1.04, 1.23)</td><td align="center" valign="top" rowspan="1" colspan="1">25.5 (23.2, 27.8)<break/>1.64 (1.48, 1.81)</td><td align="center" valign="top" rowspan="1" colspan="1">80.7 (78.5, 82.7)<break/>1.15 (1.11, 1.19)</td><td align="center" valign="top" rowspan="1" colspan="1">46.1 (42.2, 50.1)<break/>1.39 (1.26, 1.53)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food chain workers in Other Industries</td><td align="center" valign="top" rowspan="1" colspan="1">13.8 (8.7, 20.5)<break/>0.90 (0.55, 1.46)</td><td align="center" valign="top" rowspan="1" colspan="1">27.1 (17.4, 38.8)<break/>0.98 (0.64, 1.49)</td><td align="center" valign="top" rowspan="1" colspan="1">28.2 (18.6, 39.6)<break/>1.00 (0.72, 1.39)</td><td align="center" valign="top" rowspan="1" colspan="1">12.8 (7.8, 19.4)<break/>0.87 (0.54, 1.41)</td><td align="center" valign="top" rowspan="1" colspan="1">84.1 (75.0, 90.9)<break/>1.25 (1.13, 1.37)</td><td align="center" valign="top" rowspan="1" colspan="1">34.0 (19.9, 50.6)<break/>1.14 (0.71, 1.81)</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><p id="P51">Abbreviations: Adjusted Prevalence Ratio (aPR), Confidence Interval (CI), Referent group (Ref.). Estimates from logistic regression models.</p></fn><fn id="TFN6"><label>a</label><p id="P52">California, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Iowa, Kansas, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Vermont, Washington, Wisconsin.</p></fn><fn id="TFN7"><label>b</label><p id="P53">Prevalence ratios adjusted for age (18&#x02013;24, 25&#x02013;34, 35&#x02013;44, 45&#x02013;54, 55&#x02013;64, 65+), sex (male, female), and race/ethnicity (Non-Hispanic white, Non-Hispanic African American, Non-Hispanic other, Hispanic).</p></fn><fn id="TFN8"><label>c</label><p id="P54">In 2018 survey only.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>Table 3.</label><caption><p id="P55">Prevalence estimates and adjusted prevalence ratios for health behaviors: all other workers compared to all food chain workers and to food chain workers by sector, 2018&#x02013;2019 Behavioral Risk Factor Surveillance System (BRFSS).<sup><xref rid="TFN10" ref-type="table-fn">a</xref></sup></p></caption><table frame="below" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">Current smoker</th><th align="center" valign="middle" rowspan="1" colspan="1"><bold>Binge drinking</bold> (during the past 30 d had five or more drinks for men or four or more drinks for women on an occasion)</th><th align="center" valign="middle" rowspan="1" colspan="1">Heavy drinking</th><th align="center" valign="middle" rowspan="1" colspan="1">Did not participate in any physical activities or exercise during past month</th><th align="center" valign="middle" rowspan="1" colspan="1"><bold>Short sleep</bold> (less than 7 h per 24&#x02010;h period)<sup><xref rid="TFN12" ref-type="table-fn">c</xref></sup></th></tr><tr><th colspan="6" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Workers</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup> (95% CI)</th></tr></thead><tbody><tr><td colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">All other workers</td><td align="center" valign="top" rowspan="1" colspan="1">14.7 (14.3, 15.1)<break/><italic toggle="yes">Ref.</italic></td><td align="center" valign="top" rowspan="1" colspan="1">21.5 (21.0, 22.0)</td><td align="center" valign="top" rowspan="1" colspan="1">7.8 (7.5, 8.2)</td><td align="center" valign="top" rowspan="1" colspan="1">20.4 (19.9, 20.8)</td><td align="center" valign="top" rowspan="1" colspan="1">37.2 (36.4, 37.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">All food chain workers</td><td align="center" valign="top" rowspan="1" colspan="1">19.6 (18.3, 21.0)<break/>1.39 (1.29, 1.50)</td><td align="center" valign="top" rowspan="1" colspan="1">22.8 (21.3, 24.5)<break/>0.98 (0.91, 1.06)</td><td align="center" valign="top" rowspan="1" colspan="1">7.9 (7.0, 8.9)<break/>1.02 (0.90, 1.15)</td><td align="center" valign="top" rowspan="1" colspan="1">30.7 (29.0, 32.4)<break/>1.47 (1.38, 1.56)</td><td align="center" valign="top" rowspan="1" colspan="1">37.2 (34.9, 39.7)<break/>1.00 (0.94, 1.07)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">All food chain workers by sector</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Production</td><td align="center" valign="top" rowspan="1" colspan="1">14.5 (11.5, 17.9)<break/>0.98 (0.79, 1.22)</td><td align="center" valign="top" rowspan="1" colspan="1">20.8 (17.8, 24.0)<break/>0.88 (0.76, 1.03)</td><td align="center" valign="top" rowspan="1" colspan="1">7.4 (5.8, 9.4)<break/>0.95 (0.75, 1.21)</td><td align="center" valign="top" rowspan="1" colspan="1">38.0 (34.2, 41.9)<break/>1.81 (1.64, 2.01)</td><td align="center" valign="top" rowspan="1" colspan="1">28.1 (23.2, 33.5)<break/>0.80 (0.68, 0.95)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Manufacturing</td><td align="center" valign="top" rowspan="1" colspan="1">23.2 (18.1, 29.0)<break/>1.62 (1.29, 2.04)</td><td align="center" valign="top" rowspan="1" colspan="1">23.7 (18.2, 29.9)<break/>1.07 (0.84, 1.35)</td><td align="center" valign="top" rowspan="1" colspan="1">10.2 (6.2, 15.4)<break/>1.37 (0.89, 2.11)</td><td align="center" valign="top" rowspan="1" colspan="1">30.0 (24.5, 35.9)<break/>1.35 (1.12, 1.64)</td><td align="center" valign="top" rowspan="1" colspan="1">44.7 (35.1, 54.6)<break/>1.19 (0.95, 1.48)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Wholesale</td><td align="center" valign="top" rowspan="1" colspan="1">21.0 (13.8, 29.8)<break/>1.35 (0.92, 1.98)</td><td align="center" valign="top" rowspan="1" colspan="1">38.4 (26.4, 51.5)<break/>1.54 (1.12, 2.13)</td><td align="center" valign="top" rowspan="1" colspan="1">12.7 (6.3, 22.0)<break/>1.63 (0.92, 2.89)</td><td align="center" valign="top" rowspan="1" colspan="1">24.1 (16.2, 33.5)<break/>1.15 (0.82, 1.61)</td><td align="center" valign="top" rowspan="1" colspan="1">55.0 (37.3, 71.8)<break/>1.42 (1.06, 1.90)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Retail</td><td align="center" valign="top" rowspan="1" colspan="1">20.8 (17.4, 24.5)<break/>1.44 (1.22, 1.71)</td><td align="center" valign="top" rowspan="1" colspan="1">20.2 (16.4, 24.3)<break/>0.86 (0.71, 1.04)</td><td align="center" valign="top" rowspan="1" colspan="1">5.5 (3.6, 8.0)<break/>0.68 (0.46, 1.00)</td><td align="center" valign="top" rowspan="1" colspan="1">30.0 (25.4, 35.0)<break/>1.54 (1.32, 1.81)</td><td align="center" valign="top" rowspan="1" colspan="1">38.7 (32.9, 44.6)<break/>1.04 (0.90, 1.21)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Institutional Food Services</td><td align="center" valign="top" rowspan="1" colspan="1">20.5 (15.7, 26.0)<break/>1.57 (1.26, 1.97)</td><td align="center" valign="top" rowspan="1" colspan="1">12.4 (8.9, 16.7)<break/>0.76 (0.58, 1.00)</td><td align="center" valign="top" rowspan="1" colspan="1">5.1 (2.5, 9.2)*<break/>0.71 (0.39, 1.27)</td><td align="center" valign="top" rowspan="1" colspan="1">32.8 (27.0, 38.9)<break/>1.49 (1.23, 1.81)</td><td align="center" valign="top" rowspan="1" colspan="1">39.9 (31.1, 49.1)<break/>1.06 (0.85, 1.32)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Commercial Food Services</td><td align="center" valign="top" rowspan="1" colspan="1">20.5 (18.6, 22.5)<break/>1.49 (1.36, 1.64)</td><td align="center" valign="top" rowspan="1" colspan="1">24.7 (22.3, 27.2)<break/>1.04 (0.94, 1.15)</td><td align="center" valign="top" rowspan="1" colspan="1">8.6 (7.3, 10.1)<break/>1.12 (0.95, 1.33)</td><td align="center" valign="top" rowspan="1" colspan="1">27.8 (25.4, 30.3)<break/>1.32 (1.21, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">38.7 (35.2, 42.3)<break/>1.03 (0.94, 1.13)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food chain workers in Other Industries</td><td align="center" valign="top" rowspan="1" colspan="1">25.2 (16.6, 35.4)<break/>1.87 (1.34, 2.63)</td><td align="center" valign="top" rowspan="1" colspan="1">20.2 (11.9, 31.0)<break/>0.97 (0.62, 1.52)</td><td align="center" valign="top" rowspan="1" colspan="1">5.9 (3.3, 9.7)<break/>0.80 (0.49, 1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">37.9 (23.7, 53.8)<break/>1.72 (1.13, 2.61)</td><td align="center" valign="top" rowspan="1" colspan="1">35.4 (20.4, 52.7)<break/>1.00 (0.66, 1.51)</td></tr></tbody></table><table-wrap-foot><fn id="TFN9"><p id="P56">Abbreviations: Adjusted Prevalence Ratio (aPR), Confidence Interval (CI), Referent group (Ref.). Estimates from logistic regression models.</p></fn><fn id="TFN10"><label>a</label><p id="P57">California, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Iowa, Kansas, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Vermont, Washington, Wisconsin.</p></fn><fn id="TFN11"><label>b</label><p id="P58">Prevalence ratios adjusted for age (18&#x02013;24, 25&#x02013;34, 35&#x02013;44, 45&#x02013;54, 55&#x02013;64, 65+), sex (male, female), and race/ethnicity (Non-Hispanic white, Non-Hispanic African American, Non-Hispanic other, Hispanic).</p></fn><fn id="TFN12"><label>c</label><p id="P59">In 2018 survey only.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4" orientation="landscape"><label>Table 4.</label><caption><p id="P60">Prevalence estimates and adjusted prevalence ratios for health status and outcomes: all other workers compared to all food chain workers and to food chain workers by sector, 2018&#x02013;2019 Behavioral Risk Factor Surveillance System (BRFSS).</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">Fair or poor health</th><th align="center" valign="middle" rowspan="1" colspan="1">Physical health not good for &#x0003e;= 14 days out of 30</th><th align="center" valign="middle" rowspan="1" colspan="1">Mental health not good for &#x0003e;= 14 days out of 30</th><th align="center" valign="middle" rowspan="1" colspan="1">Obese</th><th align="center" valign="middle" rowspan="1" colspan="1">Coronary heart disease</th><th align="center" valign="middle" rowspan="1" colspan="1">Stroke</th><th align="center" valign="middle" rowspan="1" colspan="1">Current Asthma</th><th align="center" valign="middle" rowspan="1" colspan="1">COPD</th><th align="center" valign="middle" rowspan="1" colspan="1">Depressive disorder</th><th align="center" valign="middle" rowspan="1" colspan="1">Diabetes</th><th align="center" valign="middle" rowspan="1" colspan="1">Arthritis</th><th align="center" valign="middle" rowspan="1" colspan="1">Hypertension<sup><xref rid="TFN16" ref-type="table-fn">c</xref></sup></th></tr><tr><th colspan="13" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Workers</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Prevalence (%)</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th><th align="center" valign="middle" rowspan="1" colspan="1">aPR<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup> (95% CI)</th></tr></thead><tbody><tr><td colspan="13" align="center" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">All other workers</td><td align="center" valign="top" rowspan="1" colspan="1">11.0 (10.6, 11.3)<break/><italic toggle="yes">Ref.</italic></td><td align="center" valign="top" rowspan="1" colspan="1">6.6 (6.3, 6.8)</td><td align="center" valign="top" rowspan="1" colspan="1">9.9 (9.6, 10.2)</td><td align="center" valign="top" rowspan="1" colspan="1">31.5 (31.0, 32.1)</td><td align="center" valign="top" rowspan="1" colspan="1">3.0 (2.9, 3.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1.1 (1.0, 1.2)</td><td align="center" valign="top" rowspan="1" colspan="1">7.7 (7.4, 8.0)</td><td align="center" valign="top" rowspan="1" colspan="1">3.2 (3.0, 3.4)</td><td align="center" valign="top" rowspan="1" colspan="1">14.6 (14.3, 15.0)<break/><italic toggle="yes">Ref.</italic></td><td align="center" valign="top" rowspan="1" colspan="1">7.0 (6.7, 7.3)</td><td align="center" valign="top" rowspan="1" colspan="1">17.0 (16.6, 17.5)</td><td align="center" valign="top" rowspan="1" colspan="1">25.2 (24.4, 25.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">All food chain workers</td><td align="center" valign="top" rowspan="1" colspan="1">17.6 (16.3, 19.1)<break/>1.48 (1.35, 1.61)</td><td align="center" valign="top" rowspan="1" colspan="1">7.9 (7.0, 8.9)<break/>1.24 (1.10, 1.41)</td><td align="center" valign="top" rowspan="1" colspan="1">14.2 (13.0, 15.5)<break/>1.26 (1.14, 1.38)</td><td align="center" valign="top" rowspan="1" colspan="1">30.6 (28.9, 32.3)<break/>1.02 (0.96, 1.08)</td><td align="center" valign="top" rowspan="1" colspan="1">3.0 (2.6, 3.5)<break/>1.18 (1.00, 1.40)</td><td align="center" valign="top" rowspan="1" colspan="1">1.3 (1.0, 1.6)<break/>1.38 (1.08, 1.76)</td><td align="center" valign="top" rowspan="1" colspan="1">7.6 (6.8, 8.5)<break/>0.99 (0.87, 1.12)</td><td align="center" valign="top" rowspan="1" colspan="1">3.4 (2.9, 3.9)<break/>1.21 (1.04, 1.41)</td><td align="center" valign="top" rowspan="1" colspan="1">17.7 (16.4, 19.0)<break/>1.17 (1.08, 1.26)</td><td align="center" valign="top" rowspan="1" colspan="1">6.3 (5.6, 7.0)<break/>1.09 (0.96, 1.22)</td><td align="center" valign="top" rowspan="1" colspan="1">14.0 (12.9, 15.1)<break/>1.07 (0.99, 1.16)</td><td align="center" valign="top" rowspan="1" colspan="1">21.5 (19.3, 23.7)<break/>1.02 (0.93, 1.13)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">All food chain workers by sector</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="center" valign="top" rowspan="1" colspan="1"/><td align="center" 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="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Production</td><td align="center" valign="top" rowspan="1" colspan="1">17.2 (14.2, 20.4)<break/>1.40 (1.17, 1.67)</td><td align="center" valign="top" rowspan="1" colspan="1">5.8 (4.4, 7.6)<break/>0.87 (0.67, 1.14)</td><td align="center" valign="top" rowspan="1" colspan="1">6.9 (4.7, 9.6)<break/>0.79 (0.57, 1.10)</td><td align="center" valign="top" rowspan="1" colspan="1">31.0 (27.5, 34.7)<break/>1.00 (0.90, 1.12)</td><td align="center" valign="top" rowspan="1" colspan="1">4.3 (3.2, 5.6)<break/>1.03 (0.77, 1.36)</td><td align="center" valign="top" rowspan="1" colspan="1">2.1 (1.3, 3.2)<break/>1.66 (1.05, 2.60)</td><td align="center" valign="top" rowspan="1" colspan="1">4.5 (2.9, 6.4)<break/>0.75 (0.52, 1.08)</td><td align="center" valign="top" rowspan="1" colspan="1">3.1 (2.1, 4.4)<break/>1.01 (0.71, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">10.2 (7.4, 13.6)<break/>0.85 (0.65, 1.12)</td><td align="center" valign="top" rowspan="1" colspan="1">7.0 (5.3, 9.0)<break/>0.90 (0.70, 1.15)</td><td align="center" valign="top" rowspan="1" colspan="1">17.7 (15.1, 20.5)<break/>1.05 (0.91, 1.22)</td><td align="center" valign="top" rowspan="1" colspan="1">24.5 (19.4, 30.2)<break/>0.91 (0.73, 1.14)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Manufacturing</td><td align="center" valign="top" rowspan="1" colspan="1">20.7 (15.8, 26.3)<break/>1.58 (1.22, 2.03)</td><td align="center" valign="top" rowspan="1" colspan="1">8.1 (5.5, 11.3)<break/>1.18 (0.83, 1.67)</td><td align="center" valign="top" rowspan="1" colspan="1">12.2 (8.3, 17.1)<break/>1.26 (0.92, 1.73)</td><td align="center" valign="top" rowspan="1" colspan="1">33.1 (26.7, 40.1)<break/>1.03 (0.84, 1.27)</td><td align="center" valign="top" rowspan="1" colspan="1">4.5 (2.0, 8.5)*<break/>1.29 (0.68, 2.45)</td><td align="center" valign="top" rowspan="1" colspan="1">0.5 (0.2, 1.1)*<break/>0.42 (0.22, 0.78)</td><td align="center" valign="top" rowspan="1" colspan="1">6.6 (4.1, 9.9)<break/>0.96 (0.64, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">2.6 (1.5, 4.2)<break/>0.91 (0.55, 1.50)</td><td align="center" valign="top" rowspan="1" colspan="1">12.9 (9.2, 17.5)<break/>1.01 (0.77, 1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">8.4 (4.9, 13.1)<break/>1.05 (0.68, 1.64)</td><td align="center" valign="top" rowspan="1" colspan="1">16.4 (11.5, 22.2)<break/>1.13 (0.83, 1.52)</td><td align="center" valign="top" rowspan="1" colspan="1">25.4 (17.2, 35.0)<break/>0.96 (0.71, 1.31)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Wholesale</td><td align="center" valign="top" rowspan="1" colspan="1">9.3 (4.8, 16.0)<break/>0.74 (0.42, 1.30)</td><td align="center" valign="top" rowspan="1" colspan="1">3.9 (1.7, 7.5)*<break/>0.63 (0.32, 1.22)</td><td align="center" valign="top" rowspan="1" colspan="1">10.0 (4.4, 18.9)*<break/>1.07 (0.56, 2.06)</td><td align="center" valign="top" rowspan="1" colspan="1">38.9 (27.9, 50.7)<break/>1.20 (0.89, 1.62)</td><td align="center" valign="top" rowspan="1" colspan="1">1.9 (0.7, 4.1)*<break/>0.62 (0.29, 1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">**<break/>0.52 (0.19, 1.41)</td><td align="center" valign="top" rowspan="1" colspan="1">3.7 (1.3, 7.9)*<break/>0.62 (0.28, 1.37)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (0.3, 2.6)*<break/>0.38 (0.18, 0.82)</td><td align="center" valign="top" rowspan="1" colspan="1">9.6 (4.9, 16.4)<break/>0.86 (0.50, 1.45)</td><td align="center" valign="top" rowspan="1" colspan="1">7.4 (3.5, 13.4)*<break/>1.09 (0.59, 2.00)</td><td align="center" valign="top" rowspan="1" colspan="1">10.9 (6.6, 16.5)<break/>0.81 (0.56, 1.18)</td><td align="center" valign="top" rowspan="1" colspan="1">26.9 (14.1, 43.3)<break/>1.03 (0.65, 1.65)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food Retail</td><td align="center" valign="top" rowspan="1" colspan="1">13.2 (10.7, 16.1)<break/>1.28 (1.05, 1.56)</td><td align="center" valign="top" rowspan="1" colspan="1">10.0 (7.2, 13.5)<break/>1.63 (1.20, 2.21)</td><td align="center" valign="top" rowspan="1" colspan="1">13.2 (10.3, 16.6)<break/>1.15 (0.90, 1.47)</td><td align="center" valign="top" rowspan="1" colspan="1">31.4 (27.2, 35.8)<break/>1.09 (0.96, 1.24)</td><td align="center" valign="top" rowspan="1" colspan="1">2.5 (1.7, 3.5)<break/>1.00 (0.71, 1.41)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6 (0.9, 2.6)<break/>1.79 (1.09, 2.93)</td><td align="center" valign="top" rowspan="1" colspan="1">9.5 (6.9, 12.6)<break/>1.18 (0.88, 1.58)</td><td align="center" valign="top" rowspan="1" colspan="1">3.9 (2.6, 5.5)<break/>1.31 (0.92, 1.87)</td><td align="center" valign="top" rowspan="1" colspan="1">20.7 (17.3, 24.4)<break/>1.29 (1.09, 1.53)</td><td align="center" valign="top" rowspan="1" colspan="1">6.3 (4.9, 7.9)<break/>1.16 (0.92, 1.46)</td><td align="center" valign="top" rowspan="1" colspan="1">17.5 (14.2, 21.1)<break/>1.23 (1.03, 1.46)</td><td align="center" valign="top" rowspan="1" colspan="1">23.0 (17.6, 29.2)<break/>1.05 (0.83, 1.33)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Institutional Food Services</td><td align="center" valign="top" rowspan="1" colspan="1">18.8 (14.0, 24.3)<break/>1.63 (1.23, 2.17)</td><td align="center" valign="top" rowspan="1" colspan="1">11.5 (7.8, 16.0)<break/>1.57 (1.11, 2.23)</td><td align="center" valign="top" rowspan="1" colspan="1">13.5 (9.6, 18.4)<break/>1.35 (0.98, 1.86)</td><td align="center" valign="top" rowspan="1" colspan="1">45.7 (38.8, 52.7)<break/>1.36 (1.16, 1.60)</td><td align="center" valign="top" rowspan="1" colspan="1">3.5 (2.2, 5.3)<break/>1.21 (0.79, 1.85)</td><td align="center" valign="top" rowspan="1" colspan="1">2.1 (0.8, 4.4)*<break/>1.49 (0.68, 3.25)</td><td align="center" valign="top" rowspan="1" colspan="1">12.0 (7.8, 17.4)<break/>1.32 (0.90, 1.94)</td><td align="center" valign="top" rowspan="1" colspan="1">5.9 (3.4, 9.4)<break/>1.56 (0.95, 2.55)</td><td align="center" valign="top" rowspan="1" colspan="1">18.2 (14.3, 22.7)<break/>1.12 (0.89, 1.40)</td><td align="center" valign="top" rowspan="1" colspan="1">13.1 (9.4, 17.5)<break/>1.60 (1.19, 2.16)</td><td align="center" valign="top" rowspan="1" colspan="1">20.5 (16.4, 25.1)<break/>0.96 (0.78, 1.16)</td><td align="center" valign="top" rowspan="1" colspan="1">42.0 (32.1, 52.4)<break/>1.58 (1.25, 1.99)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Commercial Food Services</td><td align="center" valign="top" rowspan="1" colspan="1">19.0 (17.0, 21.2)<break/>1.57 (1.39, 1.78)</td><td align="center" valign="top" rowspan="1" colspan="1">8.0 (6.7, 9.5)<break/>1.30 (1.09, 1.56)</td><td align="center" valign="top" rowspan="1" colspan="1">17.9 (16.0, 19.9)<break/>1.43 (1.27, 1.62)</td><td align="center" valign="top" rowspan="1" colspan="1">28.1 (25.6, 30.7)<break/>0.96 (0.88, 1.05)</td><td align="center" valign="top" rowspan="1" colspan="1">2.4 (1.9, 3.1)<break/>1.35 (1.03, 1.77)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (0.7, 1.4)<break/>1.29 (0.90, 1.85)</td><td align="center" valign="top" rowspan="1" colspan="1">8.2 (7.0, 9.5)<break/>0.99 (0.84, 1.17)</td><td align="center" valign="top" rowspan="1" colspan="1">3.3 (2.8, 3.9)<break/>1.30 (1.07, 1.58)</td><td align="center" valign="top" rowspan="1" colspan="1">20.4 (18.5, 22.4)<break/>1.27 (1.15, 1.40)</td><td align="center" valign="top" rowspan="1" colspan="1">5.2 (4.3, 6.3)<break/>1.14 (0.94, 1.38)</td><td align="center" valign="top" rowspan="1" colspan="1">10.7 (9.4, 12.1)<break/>1.04 (0.92, 1.18)</td><td align="center" valign="top" rowspan="1" colspan="1">18.0 (15.1, 21.2)<break/>1.04 (0.90, 1.21)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Food chain workers in Other Industries</td><td align="center" valign="top" rowspan="1" colspan="1">16.1 (8.9, 26.0)<break/>1.30 (0.79, 2.16)</td><td align="center" valign="top" rowspan="1" colspan="1">6.6 (3.5, 11.3)<break/>0.99 (0.56, 1.74)</td><td align="center" valign="top" rowspan="1" colspan="1">10.5 (6.5, 15.9)<break/>0.94 (0.60, 1.49)</td><td align="center" valign="top" rowspan="1" colspan="1">34.7 (20.1, 51.8)<break/>1.10 (0.74, 1.65)</td><td align="center" valign="top" rowspan="1" colspan="1">5.5 (1.6, 12.9)*<break/>2.02 (0.76, 5.35)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0 (0.3, 2.4)*<break/>0.90 (0.34, 2.38)</td><td align="center" valign="top" rowspan="1" colspan="1">8.5 (3.3, 17.4)*<break/>1.04 (0.49, 2.22)</td><td align="center" valign="top" rowspan="1" colspan="1">3.8 (1.2, 9.1)*<break/>1.26 (0.50, 3.15)</td><td align="center" valign="top" rowspan="1" colspan="1">18.2 (11.4, 26.9)<break/>1.17 (0.79, 1.74)</td><td align="center" valign="top" rowspan="1" colspan="1">4.1 (2.4, 6.5)<break/>0.62 (0.34, 1.13)</td><td align="center" valign="top" rowspan="1" colspan="1">18.5 (9.5, 31.0)<break/>1.25 (0.84, 1.86)</td><td align="center" valign="top" rowspan="1" colspan="1">13.8 (6.6, 24.3)*<break/>0.72 (0.40, 1.29)</td></tr></tbody></table><table-wrap-foot><fn id="TFN13"><p id="P61">Abbreviations: Adjusted Prevalence Ratio (aPR), Confidence Interval (CI), Referent group (Ref.). Estimates from logistic regression models.</p></fn><fn id="TFN14"><label>a</label><p id="P62">California, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Iowa, Kansas, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Vermont, Washington, Wisconsin.</p></fn><fn id="TFN15"><label>b</label><p id="P63">Prevalence ratios adjusted for age (18&#x02013;24, 25&#x02013;34, 35&#x02013;44, 45&#x02013;54, 55&#x02013;64, 65+), sex (male, female), and race/ethnicity (Non-Hispanic white, Non-Hispanic African American, Non-Hispanic other, Hispanic).</p></fn><fn id="TFN16"><label>c</label><p id="P64">In 2019 survey only.</p></fn></table-wrap-foot></table-wrap></floats-group></article>