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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.4" 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">101628476</journal-id><journal-id journal-id-type="pubmed-jr-id">42408</journal-id><journal-id journal-id-type="nlm-ta">J Racial Ethn Health Disparities</journal-id><journal-id journal-id-type="iso-abbrev">J Racial Ethn Health Disparities</journal-id><journal-title-group><journal-title>Journal of racial and ethnic health disparities</journal-title></journal-title-group><issn pub-type="ppub">2197-3792</issn><issn pub-type="epub">2196-8837</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39256325</article-id><article-id pub-id-type="pmc">13189523</article-id><article-id pub-id-type="doi">10.1007/s40615-024-02145-3</article-id><article-id pub-id-type="manuscript">NIHMS2156367</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>COVID-19 Disease and Chronic Health Outcomes Associated with Nicotine Use in a Great Plains Tribal Community: A Community-Based Study</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-9688-962X</contrib-id><name><surname>Tillery</surname><given-names>Anna</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>O&#x02019;Leary</surname><given-names>Rae</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Aherrera</surname><given-names>Angela</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Farlee</surname><given-names>Jaylynn</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Youpee</surname><given-names>Brittany</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Romero</surname><given-names>Erena S. Hovhannisyan</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Cajero</surname><given-names>Miranda</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Duran</surname><given-names>Jacob</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Erdei</surname><given-names>Esther</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Rule</surname><given-names>Ana M.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA</aff><aff id="A2"><label>2</label>Missouri Breaks Industries Research Inc., Eagle Butte, SD, USA</aff><aff id="A3"><label>3</label>The University of New Mexico Health Sciences Center College of Pharmacy, Albuquerque, NM, USA</aff><author-notes><corresp id="CR1">Anna Tillery, <email>atiller2@jh.edu</email></corresp><fn fn-type="con" id="FN1"><p id="P1"><bold>Author Contribution</bold> All authors contributed to the study conception and design. Funding acquisition was performed by Esther Erdei, Ana M Rule, and Rae O&#x02019;Leary. Project administration was performed by Rae O&#x02019;Leary. Material preparation and data collection were performed by Rae O&#x02019;Leary, Jaylynn Farlee, and Brittany Youpee. Data analysis was performed by Anna Tillery. The first draft of the manuscript was written by Anna Tillery and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>25</day><month>3</month><year>2026</year></pub-date><pub-date pub-type="ppub"><month>10</month><year>2025</year></pub-date><pub-date pub-type="epub"><day>10</day><month>9</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>20</day><month>5</month><year>2026</year></pub-date><volume>12</volume><issue>5</issue><fpage>3417</fpage><lpage>3428</lpage><abstract id="ABS1"><sec id="S1"><title>Background</title><p id="P2">The Cheyenne River Sioux Tribe (CRST) is affected by high nicotine use and disease burden. Understanding nicotine exposure is important to recognize what groups may be at higher risk for negative health outcomes, including COVID-19.</p></sec><sec id="S2"><title>Objective</title><p id="P3">To compare self-reported health outcomes and nicotine use between exclusive electronic cigarette (e-cig) users, users of combustible cigarettes, dual e-cig/cigarette users, and nonusers among adult residents on the CRST.</p></sec><sec id="S3"><title>Methods</title><p id="P4">The CRST &#x0201c;COVID-19 &#x02013; Wayakta He study&#x0201d; (&#x0201c;Are you on guard against COVID-19?&#x0201d;) recruited 562 participants on the reservation who filled out a 97-item survey. Regression models were used to analyze nicotine exposure, demographic characteristics, and health outcomes.</p></sec><sec id="S4"><title>Results</title><p id="P5">Prevalence of nicotine use among participants was 53%. Reported median puffs per day was 15 for e-cig, 100 for cigarette, and 20 for dual users (<italic toggle="yes">p</italic> &#x0003c; 0.001). The odds of having COVID-19 were lower for nicotine users compared to nonusers (<italic toggle="yes">p</italic> &#x0003c; 0.001). The odds of hypertension (<italic toggle="yes">p</italic> = 0.04) and high cholesterol (<italic toggle="yes">p</italic> = 0.03) were lower for nicotine users compared to nonusers. The proportional odds were higher for nicotine users for longer COVID-19 recovery time (<italic toggle="yes">p</italic> = 0.046) and lower for more severe COVID-19 infection (<italic toggle="yes">p</italic> = 0.001).</p></sec><sec id="S5"><title>Significance</title><p id="P6">This study provides critical data on self-reported COVID-19, chronic disease outcomes, and exposure to commercial nicotine products. Results from this unique Tribal community&#x02013;driven study with a large sample size (<italic toggle="yes">N</italic> = 562 participants from 289 households) will help understand the role that environmental exposures played on increased COVID-19 mortality, help target public health interventions, and inform Tribal public health policies on emergency preparedness and exposure analyses.</p></sec></abstract><kwd-group><kwd>Vulnerable populations</kwd><kwd>Population-based studies</kwd><kwd>Personal exposures</kwd><kwd>Inhalation exposures</kwd><kwd>Epidemiology</kwd></kwd-group></article-meta></front><body><sec id="S6"><title>Introduction</title><p id="P7">The use of tobacco in American Indian and Alaskan Native (AI/AN) communities was first documented in the 1500 s, when Europeans colonized and commercialized traditional tobacco applications. This exploitative process continued when the ceremonial use of traditional tobacco was banned in the U.S and reliance on commercially available products was necessary [<xref rid="R1" ref-type="bibr">1</xref>]. The Cheyenne River Sioux Tribe (CRST), located in South Dakota, is one of many Indigenous communities that has been targeted by the tobacco industry, resulting in increased exposure to nicotine [<xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R3" ref-type="bibr">3</xref>]. Indigenous communities across the U.S have a disproportionately high commercial tobacco use (cigarettes, electronic cigarettes (e-cig), etc.) compared to other racial and ethnic groups [<xref rid="R4" ref-type="bibr">4</xref>]. Despite nationally declining nicotine use, approximately 100,000 more AI/AN people began smoking over the last decade in the U.S [<xref rid="R5" ref-type="bibr">5</xref>]. Of concern is the rise in e-cig use among Indigenous youth which has outpaced use in other groups, with exclusive e-cig use estimated at 11.3% for Indigenous youth, compared to white youth at 7.1% [<xref rid="R6" ref-type="bibr">6</xref>].</p><p id="P8">Smoking is associated with several diseases (cancer, cardiovascular, and respiratory disease) that AI/AN people are already at higher risk for [<xref rid="R7" ref-type="bibr">7</xref>-<xref rid="R9" ref-type="bibr">9</xref>]. It is unknown how nicotine exposure impacted COVID-19 outcomes in this population, but we know AI/AN were disproportionately affected by the pandemic. Life expectancy for AI/AN dropped by 6.4 years from 2019 to 2021 (a 4-time greater decrease than in Non-Hispanic White populations) where they comprised 1.3% of total COVID-19 cases despite contributing to only 0.7% of the total US population [<xref rid="R10" ref-type="bibr">10</xref>-<xref rid="R13" ref-type="bibr">13</xref>]. Therefore, there is a great need to understand COVID-19, chronic health outcomes, and their association with nicotine exposure within the CRST. This was a critical need at the beginning of the pandemic due to the fact that the Tribe has been largely unsuccessful in changing active combustion tobacco use and behavior in the population while successfully protected population health from secondhand tobacco smoke exposure. Previous studies have found associations between nicotine and increased risk for severe COVID-19 outcomes, such as hospitalization [<xref rid="R9" ref-type="bibr">9</xref>, <xref rid="R14" ref-type="bibr">14</xref>]. Additionally, newer e-cig products marketed as &#x0201c;tobacco free&#x0201d; products have been shown to reduce harm perception and increase likelihood of use [<xref rid="R15" ref-type="bibr">15</xref>]. Nicotine use behaviors, such as preferred nicotine concentration (%), and device characteristics, can modify chemical delivery and differentially affect health outcomes [<xref rid="R16" ref-type="bibr">16</xref>, <xref rid="R17" ref-type="bibr">17</xref>].</p><p id="P9">The CRST is in a unique position to support policy development and detailed study of nicotine use because of decades-long partnerships with local researchers. Following advocacy from a multigenerational grassroots effort, the Canli (&#x0201c;Sacred Tobacco in Lakota language&#x0201d;) Coalition, the CRST Tribal Council took action to prevent harm from commercial tobacco and secondhand smoke by implementing the Smoke-Free Air Ordinance in 2015 and exposing e-cig companies&#x02019; illegal and predatory marketing on reservation land [<xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R18" ref-type="bibr">18</xref>]. In 2022, the CRST COVID-19 Wayakta-He?&#x0201d; (Are you on guard against COVID-19?) pilot study (5R21ES033119-02, PI Erdei) was launched to investigate how indoor exposures and nicotine use affect SARS-CoV-2 infection rates, and development of COVID-19 health outcomes. The specific purpose of this analysis was to describe the extent of self-reported COVID-19 and chronic disease outcomes with exposure to commercial nicotine by comparing exclusive e-cig users, cigarette users, dual e-cig/cigarette users, and nonusers among adult residents on the CRST. We hypothesized that nicotine exposure from both e-cig and combustion tobacco use would be associated with increased risk of negative COVID-19 and chronic health outcomes.</p></sec><sec id="S7"><title>Methods</title><sec id="S8"><title>Study Population and Recruitment</title><p id="P10">The CRST COVID-19 &#x02013; Wayakta He? Study was a cross-sectional pilot study designed to assess risk factors for COVID-19 that would adhere to Tribal COVID-19 safety guidelines. Between February 2022 and May 2023, we aimed to recruit two adults from each enrolled household at least 7 years apart in age to capture nicotine use and exposure across generations. Households were included if they were located on the CRST Reservation and if two adults met the inclusion criteria. Because increased risk of COVID-19 disease development was known to be linked to preexisting chronic disease conditions, we used a point-based scoring system based on nicotine use, self-reported chronic health conditions, and/or if they were diagnosed or had COVID-19 recently to pre-screen each person in the household [<xref rid="R10" ref-type="bibr">10</xref>]. We oversampled people who use e-cigs to capture this population due to high combustible cigarette smoking prevalence in the community. We granted only one point total for one or multiple chronic health conditions, because our team had previous experiences demonstrating that 46% of the population self-reported various chronic disease outcomes therefore the likelihood to sample them was quite high [<xref rid="R18" ref-type="bibr">18</xref>]. If more than two household members were interested in participating in the study, priority was given to the individuals with the two highest scores. The inclusion criteria are available in <xref rid="SD1" ref-type="supplementary-material">Table S1</xref> of the <xref rid="SD1" ref-type="supplementary-material">Supplemental Material</xref>. Approval to conduct the study on sovereign tribal land was granted by the CRST. The study protocol was approved by the Great Plains Institutional Review Board (IRB), and the IRBs at the University of New Mexico (Albuquerque, NM) and Johns Hopkins University (Baltimore, MD). All participants provided written informed consent.</p></sec><sec id="S9"><title>Data Collection</title><p id="P11">After confirming eligibility with MBIRI, informed consent was obtained. Then, participants privately filled out a 97-item survey on COVID-19-related questions, demographics, health behaviors, health outcomes, smoking and vaping behaviors, occupation, general health, discrimination, and other stressors. All measurements, including tribal status, were identified by self-report due to Tribal law and sovereignty that strictly control such data collection or validation effort. One participant from each household (Head of Household) was given a longer survey with 15 additional questions on the environmental conditions of the home (type of fuel, occupancy, household income, and COVID-19 impact on the household). A sample of survey questions is shown in <xref rid="SD1" ref-type="supplementary-material">Table S2</xref>. Participants were categorized into four groups: nonusers, exclusive e-cig users, exclusive cigarette users (cigarette users), dual e-cig and cigarette users (dual users) based on responses to the survey. E-cig use was defined by using refillable modifiable devices (MODs), cartridge pod devices (PODs), or disposable devices (dPODs) most days of the week. Dual e-cig and tobacco cigarette use was defined as participants who indicated both current e-cig and cigarette use via self-report. We used questions from the National Institutes of Health PhenXtool standardized resource including information about COVID-19 infection, and impact of the COVID-19 outbreak to enhance generalizability of the Tribal response and allow direct comparisons to other pandemic-affected communities [<xref rid="R19" ref-type="bibr">19</xref>]. Study data were collected and managed using REDCap<sup>&#x000ae;</sup> (Research Electronic Data Capture) hosted at the University of New Mexico Health Sciences Center and supported by the UNM HSC Clinical Translational Science Center [<xref rid="R20" ref-type="bibr">20</xref>].</p></sec><sec id="S10"><title>Statistical Analysis</title><p id="P12">Descriptive statistical analyses began by exploring the distributions of variables. Chi-square tests for categorical variables and Kruskal&#x02013;Wallis tests for continuous variables were performed to assess differences in participant characteristics (age, gender, marital status, household income, ethnicity, education, work status, self-reported COVID-19, and COVID-19 vaccination) across nicotine use groups. Chi-squared tests were used to assess differences in nicotine use and nicotine user categories. Multiple linear regression, logistic regression, and ordinal logistic regression were used to analyze nicotine use behaviors and demographic characteristics, unadjusted and adjusted for age, sex, education, and working status. Household income and education were co-linear and correlated based on our previous data collections, so we opted to adjust for education in the models as household income was asked solely to the head of household while education question was asked of all participants allowing better stratification. We assessed self-reported cigarettes per day, cigarette frequency (days smoked per week), time to first smoke in the morning, e-cig puffs per day, nicotine concentration (%), type of e-cig device (MOD, POD, or dPOD), preferred e-cig flavor, time to finish 1 pod, vaping frequency (days used per week), and time to first vape in the morning. Time to first smoke/vape in the morning is a measure of physical addiction to nicotine and part of the Fagerstrom Test for Nicotine Dependence [<xref rid="R21" ref-type="bibr">21</xref>]. It was important to assess the intensity of tobacco dependence in this highly targeted, high-risk community. Additionally, we analyzed the total puffs per day for all users, converting the number of cigarettes per day to number of puffs by multiplying by 10, as is the standard number of puffs per cigarette [<xref rid="R22" ref-type="bibr">22</xref>]. We calculated median and inter-quartile range (IQR) for all variables by nicotine use category and conducted chi-squared tests between nicotine use groups.</p><p id="P13">The analysis of the number of cigarettes smoked per day was affected by an error in the survey. The question allowed multiple dropdowns for participants to choose the units of cigarettes (cigarettes/day, cigarettes/week, cigarettes/month, packs/day, packs/week, and packs/month), which caused confusion and inaccuracies. On preliminary analysis, we found that one hundred participants reported smoking less than 3 cigarettes per day resulting in a low mean cigarettes per day of 6.35. We attempted to validate these unlikely low number answers by contacting as many participants as was possible.. We successfully contacted 11 (of 100) participants, 10 of which clarified that their reported answers were incorrect and lower than the actual number of cigarettes/day. To avoid censoring a large proportion of responses, for participants reporting high frequency of use on other questionnaire responses (i.e., frequency of cigarette use, time to first smoke), we replaced those who reported less than 3 cigarettes per day with 20 cigarettes/day (1 pack) as a conservative estimate based on our team&#x02019;s previous extensive works in the community The new median of 10 cigarettes/day after this substitution is in line with previous studies conducted by MBIRI in 2012 and 2019 [<xref rid="R18" ref-type="bibr">18</xref>, <xref rid="R23" ref-type="bibr">23</xref>]. The 2012 study reported a mean of 11.5 cigarettes/day with a 50.9% prevalence of current smoking in a 57% female study population and the 2019 study reported smoking prevalence of 51% in a 52% female study population, indicating that cigarette smoking has not changed significantly in recent years, affects both genders almost equally and is applicable to our analyses and data imputation [<xref rid="R18" ref-type="bibr">18</xref>, <xref rid="R23" ref-type="bibr">23</xref>]. Statistical analyses of this variable were conducted with both sets of data and shown in <xref rid="SD1" ref-type="supplementary-material">Tables S3</xref> and <xref rid="SD1" ref-type="supplementary-material">S4</xref>.</p><p id="P14">Logistic regression and ordinal logistic regression were used to analyze the relationship between health outcomes and nicotine use status, adjusted for age, sex, and education. We analyzed the relationship for general health, frequency of flu-like illness, COVID-19 vaccination, self-reported COVID-19, COVID-19 recovery time, COVID-19 severity [mild infection (no medical intervention), moderate infection (medical intervention), and severe infection (hospitalization for more than 1 day and/or ventilator use)], long COVID (those with persistent symptoms 4 weeks or more after infection), previous lung disease, previous heart disease, hypertension, high cholesterol, anemia, asthma, diabetes, obesity, and joint disease [<xref rid="R24" ref-type="bibr">24</xref>]. Statistical analysis was conducted in RStudio Version 1.3.1093 (RStudio, PBC). The statistical significance level was set at <italic toggle="yes">&#x003b1;</italic> = 0.05.</p></sec></sec><sec id="S11"><title>Results</title><sec id="S12"><title>Demographic Characteristics</title><p id="P15">The MBIRI staff recruited 560 participants in 289 households (17 exclusive e-cig users, 255 cigarette smokers, 29 dual users, 259 nonusers) (<xref rid="T1" ref-type="table">Table 1</xref>). Households recruited represented 21 out of 23 communities on the CRST. The prevalence of overall e-cig use (exclusive e-cig and dual users) in the study cohort was 8.2%. The participants&#x02019; mean age was 42.4 years (SD = 15.7), 60% women with 95% of participants identifying as AI/AN. Exclusive e-cig users were significantly younger (mean age in years: 24.0, SD = 9.45) compared to cigarette smokers (42.6, SD = 13.9), dual users (32.4, SD = 8.55), and nonusers (44.5, SD = 17.0) (<italic toggle="yes">p</italic> = 0.028). More nonusers (8%) and exclusive e-cig users (6%) were not AI/AN compared to smokers (2%) and dual users (0%) (<italic toggle="yes">p</italic> &#x0003c; 0.001). Exclusive e-cig users (25%) and nonusers (28%) were more likely to have greater than a high school education compared to cigarette smokers (18%) and dual users (14%) (<italic toggle="yes">p</italic> = 0.044). Exclusive e-cig users (41%) and nonusers (48%) were more likely to work full/part time, compared to smokers (26%) and dual users (10%) (<italic toggle="yes">p</italic> &#x0003c; 0.001). More nonusers (32%) were in the highest household income (<italic toggle="yes">p</italic> &#x0003c; 0.001) and the highest median monthly per capita income (median = 625, IQR = 225&#x02013;1482) (<italic toggle="yes">p</italic> &#x0003c; 0.001) categories. Exclusive e-cig users (82%) and nonusers (76%) had the highest percentage of self-reported COVID-19 compared to dual users (66%) and smokers (58%) (<italic toggle="yes">p</italic> = 0.002). No significant differences were found in nicotine use category by gender, marital status, and vaccination status.</p></sec><sec id="S13"><title>Nicotine Use Behaviors</title><p id="P16">More exclusive e-cig users chose dPODs (68%) than dual users who used both PODs (44%) and dPODs (41%) evenly (<italic toggle="yes">p</italic> &#x0003c; 0.001) (<xref rid="T2" ref-type="table">Table 2</xref>). The median years that participants were introduced to e-cigs and began regular use were 2019 and 2020, respectively. Most participants used e-cig devices every day (39%) and started vaping more than 15 min after waking up (74%). The preferred flavor types were fruit (43%), candy/dessert (24%), and mint (20%). Participants vaped at a median nicotine concentration of 5% (range = 2&#x02013;6%) and reported a median of 14.5 puffs (IQR = 5&#x02013;30) of their e-cig device per day. For cigarette use, participants&#x02019; median cigarettes per day was 10 (IQR = 4&#x02013;20) and was significantly different between exclusive cigarette smokers (10 (IQR = 4&#x02013;20) and dual users (7.5 (IQR = 4.25&#x02013;20) cigarettes per day)) (<italic toggle="yes">p</italic> = 0.0432). Most participants who used cigarettes smoked every day (58%) and started smoking more than 15 min after waking up (72%). The median total puffs per day for all nicotine use was 90 (IQR = 30&#x02013;200) and was significantly different between cigarette, dual, and exclusive e-cig users (<italic toggle="yes">p</italic> &#x0003e; 0.001), with dual and cigarette smokers reporting more puffs per day than exclusive e-cig users.</p><p id="P17">Nicotine concentration (%) was positively associated with being older (<italic toggle="yes">p</italic> = 0.015) (<xref rid="T3" ref-type="table">Table 3</xref>). Greater total puffs per day for all nicotine use was positively associated with education in unadjusted models (<italic toggle="yes">p</italic> = 0.023). The odds of using POD devices were lower with increased age (<italic toggle="yes">p</italic> &#x0003c; 0.001) and working full/part time status compared to not working (<italic toggle="yes">p</italic> = 0.031) in adjusted models. The odds of POD use for having a high school GED were higher compared to not having a high school GED in adjusted models (<italic toggle="yes">p</italic> &#x0003c; 0.001). The odds of dPOD use were lower with increased age (<italic toggle="yes">p</italic> &#x0003c; 0.001) and working full/part time status compared to not working (<italic toggle="yes">p</italic> = 0.0252). The odds of dPOD use were higher with having a high school GED compared to not having a high school GED in adjusted models (<italic toggle="yes">p</italic> &#x0003c; 0.001). The proportional odds of smoking sooner after waking up were higher for students (<italic toggle="yes">p</italic> &#x0003c; 0.001) and those working full/part time (<italic toggle="yes">p</italic> = 0.0436) compared to those not currently working.</p></sec><sec id="S14"><title>Self-Reported Health Outcomes</title><p id="P18">Some participants had been previously diagnosed with chronic health conditions: 17.8% with lung diseases, 4.09% heart diseases, 23.8% hypertension, 4.53% high cholesterol levels, 14.1% reported obesity, and 8.19% any form of anemia. Of the 68% of participants who had COVID-19 disease, 30.5% of them also had long COVID. The proportional odds of longer COVID-19 recovery time were 1.71 times higher for those who used nicotine versus nonusers (<italic toggle="yes">p</italic> = 0.046) (<xref rid="F1" ref-type="fig">Fig. 1</xref>). The proportional odds of having more severe COVID-19 outcomes were 0.556 times lower for those who used nicotine versus nonusers (<italic toggle="yes">p</italic> = 0.001). The proportional odds of having more severe COVID-19 were 2.55 times higher for those with a high school education/GED compared to those without (<italic toggle="yes">p</italic> &#x0003c; 0.001). The proportional odds of reporting worse general health were 1.46 times higher for those without a high school education/GED compared to those who completed high school (<italic toggle="yes">p</italic> = 0.0473) and 1.02 times higher with increased age (<italic toggle="yes">p</italic> &#x0003c; 0 0.001). The odds of having had COVID-19 were 0.452 times lower for those who use nicotine compared to nonusers (<italic toggle="yes">p</italic> &#x0003c; 0.001). The odds of hypertension (<italic toggle="yes">p</italic> = 0.041) and high cholesterol (<italic toggle="yes">p</italic> = 0.0305) were 0.653 times and 0.353 times lower for nicotine users compared to nonusers. The odds of heart disease (<italic toggle="yes">p</italic> &#x0003c; 0.001), hypertension (<italic toggle="yes">p</italic> &#x0003c; 0.001), high cholesterol (<italic toggle="yes">p</italic> &#x0003c; 0.001), diabetes (<italic toggle="yes">p</italic> &#x0003c; 0.001), obesity (<italic toggle="yes">p</italic> = 0.0321), and joint disease (<italic toggle="yes">p</italic> &#x0003c; 0.001) were all higher for increased age. The odds of anemia (<italic toggle="yes">p</italic> &#x0003c; 0.001), diabetes (<italic toggle="yes">p</italic> = 0.0406), and joint disease (<italic toggle="yes">p</italic> = 0.0119) were all higher for females compared to males. The odds of obesity were higher for those with a high school education/GED compared to those without (<italic toggle="yes">p</italic> = 0.0251).</p></sec></sec><sec id="S15"><title>Discussion</title><p id="P19">A recent study found that Northern Plains Tribes have a higher prevalence (around 50%) of smoking compared to Southwest Tribes, indicating that nicotine use differs by Tribe and geographical region [<xref rid="R25" ref-type="bibr">25</xref>]. While there are many similarities among AI/AN groups across the United States, it is important to investigate public health issues and support pandemic-related data collection and analyses on a local level due to geographic distinctions. The South Dakota Department of Tribal Relations estimated approximately 16,000 enrolled tribal members with the population living on the CRST Reservation land to be approximately 8600 in 2019 [<xref rid="R26" ref-type="bibr">26</xref>]. From those, approximately 4000 are children, leaving 4600 adults who were eligible to be enrolled on this study. It is likely that the population is greater considering the transient nature and employment dynamics of the CRST population and historical mistrust of the US government and non-participation in any census measurement [<xref rid="R27" ref-type="bibr">27</xref>]. However, using these conservative estimates, our study successfully captured nicotine use and health outcomes for approximately 12% of the total adult CRST population and was carried out to be community-based and representative of 21 out of 23 communities on the CRST Reservation land.</p><p id="P20">We found that more participants who were not AI/AN were non-nicotine users and in the upper income tertiles compared to other participants, which is consistent with previous findings [<xref rid="R4" ref-type="bibr">4</xref>]. The prevalence of nicotine use among Indigenous peoples is known to be higher compared to non-Hispanic White (NHW) Americans and is consistent with research done earlier on AI/AN nicotine use [<xref rid="R28" ref-type="bibr">28</xref>]. Previous studies have also found that income is highly stratified by race in the U.S. and AI/AN populations have lower representation in the top income groups than NHW [<xref rid="R29" ref-type="bibr">29</xref>]. Additionally, more nonusers and exclusive e-cig users were employed/working compared to cigarette smokers or dual users, which was similarly found in a previous study assessing tobacco use across US working adults [<xref rid="R30" ref-type="bibr">30</xref>].</p><p id="P21">Exclusive e-cig users were more likely to prefer dPODs compared to dual users who equally used dPODs and PODs. This is consistent with previous literature as dual users are reported to pick the type of delivery more by convenience/availability since they interchange between e-cigs and cigarettes [<xref rid="R31" ref-type="bibr">31</xref>]. Being older was positively associated with e-cig nicotine percentage. In a previous study from our group conducted on a majority NHW population, we found no significant association between age and nicotine percentage but a trend in the same direction [<xref rid="R17" ref-type="bibr">17</xref>]. We also found that being older was negatively associated with the use of PODs and dPODs compared to MODs, and this relationship has been reported in previous studies [<xref rid="R32" ref-type="bibr">32</xref>, <xref rid="R33" ref-type="bibr">33</xref>]. Having a high school education/GED was positively associated with the use of dPODs and PODs and preference for flavors over unflavored nicotine. The total number of puffs per day for all nicotine use was positively associated with education status. It is possible that use is associated with higher education as an indicator of income and ability to afford nicotine products [<xref rid="R34" ref-type="bibr">34</xref>]. We found significant differences between puffs per day by nicotine delivery type, with dual users using their e-cig devices more than exclusive e-cig users. This indicates that e-cig users do not use nicotine at the same rates based on their preferred nicotine delivery.</p><p id="P22">The prevalence of heart disease in this study population (4.09%) is not in line with national statistics on AI/AN prevalence (11.0%) [<xref rid="R35" ref-type="bibr">35</xref>]. The prevalence of obesity in this population (14%) is much lower than the projections adjusted for self-report bias of 50% obesity prevalence in South Dakota [<xref rid="R36" ref-type="bibr">36</xref>]. High cholesterol (4.53%) and hypertension (23.8%) were also found to be reported at lower rates than the national averages of 34.5% for high cholesterol and 46.7% for hypertension [<xref rid="R9" ref-type="bibr">9</xref>, <xref rid="R37" ref-type="bibr">37</xref>]. Rates of anemia were in line with previous literature in the US [<xref rid="R38" ref-type="bibr">38</xref>]. It is possible that health effects are underreported and under-diagnosed in this study due to lack of consistent primary care providers and steady access to healthcare in this population [<xref rid="R39" ref-type="bibr">39</xref>]. Despite federally recognized AI/AN populations having guaranteed access to primary healthcare through the federal Indian Health Service system, decades-long mistrust, and underfunded facilities with not enough consistent, dedicated, primary care provider base are still major problems in the majority of AI/AN communities [<xref rid="R11" ref-type="bibr">11</xref>]. Additionally, a previous study found that 1 in 6 AI/AN participants reported avoiding going to a healthcare professional, even if they are available locally, because of concerns of mistreatment and provider bias [<xref rid="R40" ref-type="bibr">40</xref>].</p><p id="P23">Nicotine use was negatively associated with reporting COVID-19, hypertension, and high cholesterol compared to no use. One study found that nicotine users with COPD avoid seeking medical care because of apprehension about being ridiculed of their nicotine dependence [<xref rid="R41" ref-type="bibr">41</xref>]. This could result in a lower propensity to seek medical care and diagnosis for COVID-19, hypertension, and high cholesterol. While we found that nicotine use was negatively associated with more severe COVID-19, the relationship between nicotine and severity of COVID-19 infection is currently not well-established. A recent review found that tobacco use had mixed associations with infection of COVID-19, although the overall weight of the evidence shows that nicotine use exacerbates COVID-19 health outcomes [<xref rid="R42" ref-type="bibr">42</xref>]. Other studies indicate that nicotine use may be associated with increased chance of an asymptomatic COVID-19 infection, or even reduced severity, compared to nonusers [<xref rid="R42" ref-type="bibr">42</xref>-<xref rid="R46" ref-type="bibr">46</xref>]. As tobacco smoke is a known immunosuppressant and a well-documented respiratory toxicant, it is possible that exposures to various cigarette-associated chemicals have direct downregulatory effect on the lung&#x02019;s epithelial cytokine expression [<xref rid="R47" ref-type="bibr">47</xref>-<xref rid="R49" ref-type="bibr">49</xref>]. That could have also enhanced the occurrence of asymptomatic SARS-CoV-2 infections that further promoted viral particles&#x02019; spread especially in crowded, tobacco-using Tribal households.</p><p id="P24">Furthermore, it has been shown that cigarette and e-cig use in adults is associated with worse health literacy [<xref rid="R50" ref-type="bibr">50</xref>]. It is possible that lower health literacy compared to non-use, historical mistrust of healthcare professionals, and stigma against nicotine use may be contributing factors to the lower odds of having reported COVID-19 infection, less severe COVID-19 outcomes that are might underreported, lower rates of diagnosed hypertension, and high serum cholesterol levels. It is possible that in this rural, lower than average educational-achievement reporting community, higher education likely contributes to an increased access to healthier food choices, tobacco, and alcohol products due to affordability and increased opportunities to seek to medical care, even off the Reservation. Higher health literacy level overall contributes to more disease diagnoses [<xref rid="R34" ref-type="bibr">34</xref>, <xref rid="R51" ref-type="bibr">51</xref>, <xref rid="R52" ref-type="bibr">52</xref>].</p><p id="P25">This study has several limitations. Our recruitment occurred during COVID-19 restrictions, which meant no in-person interviews were carried out. Recruitment spanned 15 months, encompassing winter and varying incidence rates of COVID-19 and uptake of vaccines against severe COVID-19 disease. Because of this, there could have been temporal changes in the questionnaire answers from participants that we could not capture in a cross-sectional design or in our models. Additionally, participants could have displayed recall or social desirability bias when answering questions, as many may know MBIRI employees personally. When asking to self-report certain health outcomes in our questionnaire, it is possible that chronic disease information was underestimated, and the actual prevalence of such medical conditions could not be obtained. Finally, due to the unpredictable nature of relying on self-reported questionnaire information, we had to rely on imputation to complete our analyses concerning data on the number of cigarettes per day, even though our estimates were based strongly on previous CRST-driven measures and published information [<xref rid="R18" ref-type="bibr">18</xref>, <xref rid="R23" ref-type="bibr">23</xref>].</p><p id="P26">Notwithstanding these limitations mostly imposed by the COVID-19 pandemic, our study has many strengths and provides valuable information on nicotine use, COVID-19 disease, and pandemic conditions influencing health, which are especially relevant in the rural U.S. To our knowledge, this study is the first to collect such information based on community-engaged recruitment/enrollment approaches and assess relationships between health and nicotine use on a large scale within this high-risk rural Tribal population. Our large sample size of over 500 adult participants is another strength; we were able to capture a large portion of adults on the CRST (over 12% of the total eligible). This study can be applicable to other Northern Plains region Tribes, with similar cultural and behavioral patterns and the community-based participatory research methods can be used widely across the United States in other Native communities or high-risk, rural populations. We were able to capture nuanced information on self-reported health outcomes, including COVID-19 disease information otherwise never captured in AI/AN groups, and nicotine use behaviors in a population that has been historically underrepresented and abused in research and targeted by the industry. This study was only possible through strong, community-driven approaches, culturally relevant enrollment and outreach works, and Native researchers&#x02019; dedication to its success.</p><p id="P27">We found trends in demographic characteristics with nicotine concentration, how soon after waking up they start smoking, total number of puffs per day, and use of e-cig devices. Nicotine users reported less high blood pressure, high cholesterol, and COVID-19 than non-nicotine users, which was unexpected. However, when infected with COVID-19, nicotine users reported less severe symptoms but longer recovery time that might be related to complex chemical toxicant exposure via combustion tobacco use and its immunosuppressive effects in the lung. We found the CRST community has different nicotine use behaviors depending on the type of nicotine. This study provides critical data on COVID-19, chronic disease outcomes, and exposure to commercial nicotine products. Results from this unique Tribal community&#x02013;driven study with a large sample size (<italic toggle="yes">N</italic> = 562 participants from 289 households) will help understand the role environmental exposures played on increased COVID-19 mortality, help target public health interventions, and inform Tribal public health policies on emergency preparedness and exposure analyses. This information can be used by CRST leadership to understand the relationships between nicotine and health outcomes as this information has not been reported within the community before and could be directly applied to increase health literacy locally and beyond.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supp Material</label><media xlink:href="NIHMS2156367-supplement-Supp_Material.docx" id="d67e598" position="anchor"/></supplementary-material><p id="P31"><bold>Supplementary Information</bold> The online version contains supplementary material available at <ext-link xlink:href="10.1007/s40615-024-02145-3" ext-link-type="doi">https://doi.org/10.1007/s40615-024-02145-3</ext-link>.</p></sec></body><back><ack id="S17"><title>Acknowledgements</title><p id="P29">We would like to acknowledge and thank the Cheyenne River Sioux Tribe residents for their contributions to this study, and the staff of the Missouri Breaks Industries Research Inc., particularly Karen Little Wounded for help with recruitment.</p><sec id="S18"><title>Funding</title><p id="P30">AT is supported by the NIOSH Johns Hopkins Education and Research Center for Occupational Safety and Health (award number T42 OH0008428). AA is supported by the K99/R00 Pathway to Independence in Tobacco Regulatory Research by the National Institute of Environmental Health Sciences and the U.S. Food and Drug Administration, Center for Tobacco Products (PI: Aherrera, award number K99ES034507). The study was funded by NIH National Institute of Environmental Health Sciences under grant number 1R21ES033119 (PI: Erdei, UNM HSC COP). REDCap infrastructure provided by UNM: DHHS/NIH/NCRR #8UL1TR000041.</p></sec></ack><fn-group><fn id="FN3"><p id="P32"><bold>Ethical Approval</bold> The study protocol was approved by the Great Plains Institutional Review Board (IRB), and the IRBs at the University of New Mexico (Albuquerque, NM) and Johns Hopkins University (Baltimore, MD).</p></fn><fn id="FN4"><p id="P33"><bold>Consent to Participate</bold> All participants provided written informed consent.</p></fn><fn id="FN5"><p id="P34"><bold>Consent for Publication</bold> The Cheyenne River Sioux Tribe provided consent to submit this manuscript with intent to publish.</p></fn><fn id="FN6"><p id="P35"><bold>Competing Interests</bold> The authors declare no competing interests.</p></fn></fn-group><sec sec-type="data-availability" id="S16"><title>Data Availability</title><p id="P28">The authors do not have permission to share tribal data.</p></sec><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Henderson</surname><given-names>PN</given-names></name>, <name><surname>Lee</surname><given-names>JP</given-names></name>, <name><surname>Soto</surname><given-names>C</given-names></name>, <etal/>
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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Fig. 1</label><caption><p id="P36">Difference in health outcomes by nicotine use [non-use of nicotine (ref) by any use], analyzed using ordinal (<bold>A</bold>) and logistic (<bold>B</bold>) regression from the CRST COVID-19 Wayakta He? Study, 2022&#x02013;2023. Models adjusted for age, gender, and education</p></caption><graphic xlink:href="nihms-2156367-f0001" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1</label><caption><p id="P37">Sociodemographic characteristics of participants by nicotine use category (<italic toggle="yes">n</italic> = 560) from the CRST COVID-19 Wayakta He? cross-sectional study, 2022&#x02013;2023</p></caption><table frame="hsides" rules="groups"><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"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Variable</th><th align="left" valign="bottom" rowspan="1" colspan="1"><italic toggle="yes">N</italic>, %</th><th align="left" valign="top" rowspan="1" colspan="1">Overall<break/>560</th><th align="left" valign="top" rowspan="1" colspan="1">Exclusive e-cig users<break/>17 (3.0)</th><th align="left" valign="top" rowspan="1" colspan="1">Cigarette smokers<break/>255 (45.5)</th><th align="left" valign="top" rowspan="1" colspan="1">Dual users<break/>29 (5.2%)</th><th align="left" valign="top" rowspan="1" colspan="1">Nonusers<break/>259 (46.3)</th><th align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value<xref rid="TFN1" ref-type="table-fn">*</xref></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age, mean (SD)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>560</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">42.4 (15.7)</td><td align="left" valign="top" rowspan="1" colspan="1">24.0 (9.45)</td><td align="left" valign="top" rowspan="1" colspan="1">42.6 (13.9)</td><td align="left" valign="top" rowspan="1" colspan="1">32.4 (8.55)</td><td align="left" valign="top" rowspan="1" colspan="1">44.5 (17.0)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.028</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gender, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">0.735</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="left" valign="top" rowspan="1" colspan="1">224</td><td align="left" valign="top" rowspan="1" colspan="1">40</td><td align="left" valign="top" rowspan="1" colspan="1">47</td><td align="left" valign="top" rowspan="1" colspan="1">40</td><td align="left" valign="top" rowspan="1" colspan="1">52</td><td align="left" valign="top" rowspan="1" colspan="1">38</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="left" valign="top" rowspan="1" colspan="1">334</td><td align="left" valign="top" rowspan="1" colspan="1">60</td><td align="left" valign="top" rowspan="1" colspan="1">53</td><td align="left" valign="top" rowspan="1" colspan="1">60</td><td align="left" valign="top" rowspan="1" colspan="1">48</td><td align="left" valign="top" rowspan="1" colspan="1">62</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">AI/AN, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="left" valign="top" rowspan="1" colspan="1">533</td><td align="left" valign="top" rowspan="1" colspan="1">95</td><td align="left" valign="top" rowspan="1" colspan="1">94</td><td align="left" valign="top" rowspan="1" colspan="1">98</td><td align="left" valign="top" rowspan="1" colspan="1">100</td><td align="left" valign="top" rowspan="1" colspan="1">92</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="left" valign="top" rowspan="1" colspan="1">27</td><td align="left" valign="top" rowspan="1" colspan="1">5</td><td align="left" valign="top" rowspan="1" colspan="1">6</td><td align="left" valign="top" rowspan="1" colspan="1">2</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">8</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Marital status, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">0.993</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not in a relationship</td><td align="left" valign="top" rowspan="1" colspan="1">313</td><td align="left" valign="top" rowspan="1" colspan="1">56</td><td align="left" valign="top" rowspan="1" colspan="1">59</td><td align="left" valign="top" rowspan="1" colspan="1">56</td><td align="left" valign="top" rowspan="1" colspan="1">55</td><td align="left" valign="top" rowspan="1" colspan="1">56</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Married/partnered</td><td align="left" valign="top" rowspan="1" colspan="1">248</td><td align="left" valign="top" rowspan="1" colspan="1">44</td><td align="left" valign="top" rowspan="1" colspan="1">41</td><td align="left" valign="top" rowspan="1" colspan="1">44</td><td align="left" valign="top" rowspan="1" colspan="1">45</td><td align="left" valign="top" rowspan="1" colspan="1">44</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Education, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.044</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Less than HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">113</td><td align="left" valign="top" rowspan="1" colspan="1">20</td><td align="left" valign="top" rowspan="1" colspan="1">17</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1">24</td><td align="left" valign="top" rowspan="1" colspan="1">17</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">335</td><td align="left" valign="top" rowspan="1" colspan="1">60</td><td align="left" valign="top" rowspan="1" colspan="1">58</td><td align="left" valign="top" rowspan="1" colspan="1">65</td><td align="left" valign="top" rowspan="1" colspan="1">62</td><td align="left" valign="top" rowspan="1" colspan="1">55</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Greater than HS</td><td align="left" valign="top" rowspan="1" colspan="1">114</td><td align="left" valign="top" rowspan="1" colspan="1">20</td><td align="left" valign="top" rowspan="1" colspan="1">25</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1">14</td><td align="left" valign="top" rowspan="1" colspan="1">28</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Work status, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not currently working</td><td align="left" valign="top" rowspan="1" colspan="1">329</td><td align="left" valign="top" rowspan="1" colspan="1">59</td><td align="left" valign="top" rowspan="1" colspan="1">47</td><td align="left" valign="top" rowspan="1" colspan="1">73</td><td align="left" valign="top" rowspan="1" colspan="1">80</td><td align="left" valign="top" rowspan="1" colspan="1">43</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Student</td><td align="left" valign="top" rowspan="1" colspan="1">29</td><td align="left" valign="top" rowspan="1" colspan="1">5</td><td align="left" valign="top" rowspan="1" colspan="1">12</td><td align="left" valign="top" rowspan="1" colspan="1">10</td><td align="left" valign="top" rowspan="1" colspan="1">10</td><td align="left" valign="top" rowspan="1" colspan="1">9</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Working full or part rime</td><td align="left" valign="top" rowspan="1" colspan="1">201</td><td align="left" valign="top" rowspan="1" colspan="1">36</td><td align="left" valign="top" rowspan="1" colspan="1">41</td><td align="left" valign="top" rowspan="1" colspan="1">26</td><td align="left" valign="top" rowspan="1" colspan="1">10</td><td align="left" valign="top" rowspan="1" colspan="1">48</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Household income, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;0&#x02013;2000 monthly</td><td align="left" valign="top" rowspan="1" colspan="1">259</td><td align="left" valign="top" rowspan="1" colspan="1">59</td><td align="left" valign="top" rowspan="1" colspan="1">36</td><td align="left" valign="top" rowspan="1" colspan="1">78</td><td align="left" valign="top" rowspan="1" colspan="1">84</td><td align="left" valign="top" rowspan="1" colspan="1">40</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2001&#x02013;4001 monthly</td><td align="left" valign="top" rowspan="1" colspan="1">103</td><td align="left" valign="top" rowspan="1" colspan="1">23</td><td align="left" valign="top" rowspan="1" colspan="1">43</td><td align="left" valign="top" rowspan="1" colspan="1">17</td><td align="left" valign="top" rowspan="1" colspan="1">16</td><td align="left" valign="top" rowspan="1" colspan="1">28</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;5000 + monthly</td><td align="left" valign="top" rowspan="1" colspan="1">80</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1">21</td><td align="left" valign="top" rowspan="1" colspan="1">5</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">32</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Per capita household income, median (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">398</td><td align="left" valign="top" rowspan="1" colspan="1">300 (125, 938)</td><td align="left" valign="top" rowspan="1" colspan="1">500 (292, 1204)</td><td align="left" valign="top" rowspan="1" colspan="1">162 (82, 350)</td><td align="left" valign="top" rowspan="1" colspan="1">125 (68, 394)</td><td align="left" valign="top" rowspan="1" colspan="1">625 (225, 1482)</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td colspan="2" align="left" valign="top" rowspan="1">COVID-19 Vaccination Status, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">0.514</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No vaccine</td><td align="left" valign="top" rowspan="1" colspan="1">87</td><td align="left" valign="top" rowspan="1" colspan="1">16</td><td align="left" valign="top" rowspan="1" colspan="1">6</td><td align="left" valign="top" rowspan="1" colspan="1">17</td><td align="left" valign="top" rowspan="1" colspan="1">7</td><td align="left" valign="top" rowspan="1" colspan="1">15</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Vaccinated</td><td align="left" valign="top" rowspan="1" colspan="1">471</td><td align="left" valign="top" rowspan="1" colspan="1">84</td><td align="left" valign="top" rowspan="1" colspan="1">94</td><td align="left" valign="top" rowspan="1" colspan="1">83</td><td align="left" valign="top" rowspan="1" colspan="1">93</td><td align="left" valign="top" rowspan="1" colspan="1">85</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Self-reported COVID-19, %</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.002</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="left" valign="top" rowspan="1" colspan="1">182</td><td align="left" valign="top" rowspan="1" colspan="1">32</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1">42</td><td align="left" valign="top" rowspan="1" colspan="1">34</td><td align="left" valign="top" rowspan="1" colspan="1">24</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="left" valign="top" rowspan="1" colspan="1">378</td><td align="left" valign="top" rowspan="1" colspan="1">68</td><td align="left" valign="top" rowspan="1" colspan="1">82</td><td align="left" valign="top" rowspan="1" colspan="1">58</td><td align="left" valign="top" rowspan="1" colspan="1">66</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P38"><italic toggle="yes">p</italic>-values from chi-squared analysis</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2</label><caption><p id="P39">Self-reported nicotine use behaviors stratified by type of nicotine use (e-cigarettes, cigarettes, dual use) (<italic toggle="yes">n</italic> = 301) from the CRST COVID-19 Wayakta He? cross-sectional study, 2022&#x02013;2023</p></caption><table frame="hsides" rules="groups"><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">Variable</th><th align="left" valign="middle" rowspan="1" colspan="1">
<italic toggle="yes">N</italic>
</th><th align="left" valign="middle" rowspan="1" colspan="1">Overall</th><th align="left" valign="middle" rowspan="1" colspan="1">Exclusive e-cig users</th><th align="left" valign="middle" rowspan="1" colspan="1">Dual users</th><th align="left" valign="middle" rowspan="1" colspan="1">Cigarette smokers</th><th align="left" valign="middle" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Devices used</td><td align="left" valign="middle" rowspan="1" colspan="1">53</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;MODs</td><td align="left" valign="middle" rowspan="1" colspan="1">7</td><td align="left" valign="middle" rowspan="1" colspan="1">13%</td><td align="left" valign="middle" rowspan="1" colspan="1">11%</td><td align="left" valign="middle" rowspan="1" colspan="1">15%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;PODs</td><td align="left" valign="middle" rowspan="1" colspan="1">18</td><td align="left" valign="middle" rowspan="1" colspan="1">34%</td><td align="left" valign="middle" rowspan="1" colspan="1">21%</td><td align="left" valign="middle" rowspan="1" colspan="1">41%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;dPODs</td><td align="left" valign="middle" rowspan="1" colspan="1">28</td><td align="left" valign="middle" rowspan="1" colspan="1">53%</td><td align="left" valign="middle" rowspan="1" colspan="1">68%</td><td align="left" valign="middle" rowspan="1" colspan="1">44%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Year introduced to e-cigs, median (IQR)</td><td align="left" valign="middle" rowspan="1" colspan="1">35</td><td align="left" valign="middle" rowspan="1" colspan="1">2019 (2018&#x02013;2021)</td><td align="left" valign="middle" rowspan="1" colspan="1">2019 (2018&#x02013;2021)</td><td align="left" valign="middle" rowspan="1" colspan="1">2020 (2016&#x02013;2021)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.47</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Year regular e-cig use began, median (IQR)</td><td align="left" valign="middle" rowspan="1" colspan="1">32</td><td align="left" valign="middle" rowspan="1" colspan="1">2020 (2019&#x02013;2022)</td><td align="left" valign="middle" rowspan="1" colspan="1">2021 (2020&#x02013;2022)</td><td align="left" valign="middle" rowspan="1" colspan="1">2020 (2019&#x02013;2021)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.214</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Vape frequency</td><td align="left" valign="middle" rowspan="1" colspan="1">46</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Everyday</td><td align="left" valign="middle" rowspan="1" colspan="1">18</td><td align="left" valign="middle" rowspan="1" colspan="1">39%</td><td align="left" valign="middle" rowspan="1" colspan="1">47%</td><td align="left" valign="middle" rowspan="1" colspan="1">34%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Some days</td><td align="left" valign="middle" rowspan="1" colspan="1">11</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Seldom</td><td align="left" valign="middle" rowspan="1" colspan="1">8</td><td align="left" valign="middle" rowspan="1" colspan="1">17%</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1">14%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rarely</td><td align="left" valign="middle" rowspan="1" colspan="1">9</td><td align="left" valign="middle" rowspan="1" colspan="1">20%</td><td align="left" valign="middle" rowspan="1" colspan="1">6%</td><td align="left" valign="middle" rowspan="1" colspan="1">28%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">How soon after waking up do you vape?</td><td align="left" valign="middle" rowspan="1" colspan="1">46</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.241</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;15 min or less</td><td align="left" valign="middle" rowspan="1" colspan="1">12</td><td align="left" valign="middle" rowspan="1" colspan="1">26%</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1">28%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;More than 15 min</td><td align="left" valign="middle" rowspan="1" colspan="1">34</td><td align="left" valign="middle" rowspan="1" colspan="1">74%</td><td align="left" valign="middle" rowspan="1" colspan="1">76%</td><td align="left" valign="middle" rowspan="1" colspan="1">72%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Preferred flavor categories</td><td align="left" valign="middle" rowspan="1" colspan="1">46</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.438</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Fruit</td><td align="left" valign="middle" rowspan="1" colspan="1">21</td><td align="left" valign="middle" rowspan="1" colspan="1">46%</td><td align="left" valign="middle" rowspan="1" colspan="1">53%</td><td align="left" valign="middle" rowspan="1" colspan="1">41%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Candy/dessert</td><td align="left" valign="middle" rowspan="1" colspan="1">11</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1">18%</td><td align="left" valign="middle" rowspan="1" colspan="1">28%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Tobacco</td><td align="left" valign="middle" rowspan="1" colspan="1">5</td><td align="left" valign="middle" rowspan="1" colspan="1">11%</td><td align="left" valign="middle" rowspan="1" colspan="1">6%</td><td align="left" valign="middle" rowspan="1" colspan="1">14%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Mint</td><td align="left" valign="middle" rowspan="1" colspan="1">9</td><td align="left" valign="middle" rowspan="1" colspan="1">20%</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1">17%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Nicotine concentration (%), median (IQR)</td><td align="left" valign="middle" rowspan="1" colspan="1">20</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (2&#x02013;6)</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (3.1&#x02013;6)</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (2&#x02013;6)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.268</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">How long to finish 1 pod?</td><td align="left" valign="middle" rowspan="1" colspan="1">19</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Less than 1 week</td><td align="left" valign="middle" rowspan="1" colspan="1">10</td><td align="left" valign="middle" rowspan="1" colspan="1">53%</td><td align="left" valign="middle" rowspan="1" colspan="1">38%</td><td align="left" valign="middle" rowspan="1" colspan="1">64%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.219</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;More than 1 week</td><td align="left" valign="middle" rowspan="1" colspan="1">9</td><td align="left" valign="middle" rowspan="1" colspan="1">47%</td><td align="left" valign="middle" rowspan="1" colspan="1">62%</td><td align="left" valign="middle" rowspan="1" colspan="1">36%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">E-cigarette puffs per day, median (IQR)</td><td align="left" valign="middle" rowspan="1" colspan="1">33</td><td align="left" valign="middle" rowspan="1" colspan="1">14.5 (5&#x02013;30)</td><td align="left" valign="middle" rowspan="1" colspan="1">15 (5&#x02013;27)</td><td align="left" valign="middle" rowspan="1" colspan="1">10 (5&#x02013;30)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.585</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Total puffs per day (e-cigs and cigarettes), median (IQR)</td><td align="left" valign="middle" rowspan="1" colspan="1">261</td><td align="left" valign="middle" rowspan="1" colspan="1">90 (30&#x02013;200)</td><td align="left" valign="middle" rowspan="1" colspan="1">15 (5&#x02013;200)</td><td align="left" valign="middle" rowspan="1" colspan="1">20 (7.5&#x02013;93)</td><td align="left" valign="middle" rowspan="1" colspan="1">100 (40&#x02013;200)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Number of cigarettes per day, median (IQR)</td><td align="left" valign="middle" rowspan="1" colspan="1">234</td><td align="left" valign="middle" rowspan="1" colspan="1">10 (4&#x02013;20)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">7.5 (4.25&#x02013;20)</td><td align="left" valign="middle" rowspan="1" colspan="1">10 (4&#x02013;20)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.0432</bold>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Cigarette frequency</td><td align="left" valign="middle" rowspan="1" colspan="1">283</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.817</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Everyday</td><td align="left" valign="middle" rowspan="1" colspan="1">165</td><td align="left" valign="middle" rowspan="1" colspan="1">58%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">66%</td><td align="left" valign="middle" rowspan="1" colspan="1">57%</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Some days</td><td align="left" valign="middle" rowspan="1" colspan="1">65</td><td align="left" valign="middle" rowspan="1" colspan="1">23%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">17%</td><td align="left" valign="middle" rowspan="1" colspan="1">24%</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Seldom</td><td align="left" valign="middle" rowspan="1" colspan="1">36</td><td align="left" valign="middle" rowspan="1" colspan="1">13%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">10%</td><td align="left" valign="middle" rowspan="1" colspan="1">13%</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rarely</td><td align="left" valign="middle" rowspan="1" colspan="1">17</td><td align="left" valign="middle" rowspan="1" colspan="1">6%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">7%</td><td align="left" valign="middle" rowspan="1" colspan="1">6%</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">How soon after waking up do you smoke?</td><td align="left" valign="middle" rowspan="1" colspan="1">284</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.85</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;15 min or less</td><td align="left" valign="middle" rowspan="1" colspan="1">79</td><td align="left" valign="middle" rowspan="1" colspan="1">28%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">31%</td><td align="left" valign="middle" rowspan="1" colspan="1">27%</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;More than 15 min</td><td align="left" valign="middle" rowspan="1" colspan="1">205</td><td align="left" valign="middle" rowspan="1" colspan="1">72%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">69%</td><td align="left" valign="middle" rowspan="1" colspan="1">73%</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN2"><label>*</label><p id="P40"><italic toggle="yes">p</italic>-values from chi-squared analysis</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>Table 3</label><caption><p id="P41">Difference in nicotine use behaviors by demographic characteristics analyzed using linear, logistic, and ordinal regression (<italic toggle="yes">n</italic> = 285) from the CRST COVID-19 Wayakta He? Study, 2022&#x02013;2023</p></caption><table frame="hsides" rules="groups"><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"/></colgroup><tbody><tr><th colspan="10" align="left" valign="top" rowspan="1">Multiple linear regression<xref rid="TFN3" ref-type="table-fn">*</xref></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="top" rowspan="1">E-cig puffs per day</th><th colspan="2" align="left" valign="top" rowspan="1">Nicotine concentration (%)</th><th colspan="2" align="left" valign="top" rowspan="1">Total puffs/day</th><th colspan="2" align="left" valign="top" rowspan="1">Cigarettes per day</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="left" valign="top" rowspan="1" colspan="1">Coef</td><td align="left" valign="top" rowspan="1" colspan="1">3.03</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 3.6</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.57</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.704</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.28</td><td align="left" valign="top" rowspan="1" colspan="1">0.493</td><td align="left" valign="top" rowspan="1" colspan="1">0.0553</td><td align="left" valign="top" rowspan="1" colspan="1">0.0429</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.566</td><td align="left" valign="top" rowspan="1" colspan="1">0.566</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.00728</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.0154</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.0982</td><td align="left" valign="top" rowspan="1" colspan="1">0.556</td><td align="left" valign="top" rowspan="1" colspan="1">0.168</td><td align="left" valign="top" rowspan="1" colspan="1">0.325</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gender</td><td align="left" valign="top" rowspan="1" colspan="1">Male</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">104</td><td align="left" valign="top" rowspan="1" colspan="1">49.1</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 1.55</td><td align="left" valign="top" rowspan="1" colspan="1">1.63</td><td align="left" valign="top" rowspan="1" colspan="1">24.4</td><td align="left" valign="top" rowspan="1" colspan="1">15.9</td><td align="left" valign="top" rowspan="1" colspan="1">0.0985</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 0.486</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.322</td><td align="left" valign="top" rowspan="1" colspan="1">0.671</td><td align="left" valign="top" rowspan="1" colspan="1">0.762</td><td align="left" valign="top" rowspan="1" colspan="1">0.749</td><td align="left" valign="top" rowspan="1" colspan="1">0.261</td><td align="left" valign="top" rowspan="1" colspan="1">0.475</td><td align="left" valign="top" rowspan="1" colspan="1">0.929</td><td align="left" valign="top" rowspan="1" colspan="1">0.668</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Education</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c; HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ref</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ref</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">190</td><td align="left" valign="top" rowspan="1" colspan="1">192</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 1.41</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 8.03</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>57.7</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>54.5</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.76</td><td align="left" valign="top" rowspan="1" colspan="1">1.48</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.123</td><td align="left" valign="top" rowspan="1" colspan="1">0.197</td><td align="left" valign="top" rowspan="1" colspan="1">0.83</td><td align="left" valign="top" rowspan="1" colspan="1">0.246</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.0202</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.0444</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.162</td><td align="left" valign="top" rowspan="1" colspan="1">0.283</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e; HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">98.9</td><td align="left" valign="top" rowspan="1" colspan="1">124</td><td align="left" valign="top" rowspan="1" colspan="1">3.77</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 2.84</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1">0.186</td><td align="left" valign="top" rowspan="1" colspan="1">0.208</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.256</td><td align="left" valign="top" rowspan="1" colspan="1">0.2</td><td align="left" valign="top" rowspan="1" colspan="1">0.408</td><td align="left" valign="top" rowspan="1" colspan="1">0.553</td><td align="left" valign="top" rowspan="1" colspan="1">0.318</td><td align="left" valign="top" rowspan="1" colspan="1">0.323</td><td align="left" valign="top" rowspan="1" colspan="1">0.839</td><td align="left" valign="top" rowspan="1" colspan="1">0.824</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Work</td><td align="left" valign="top" rowspan="1" colspan="1">Not working</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Student</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 95.8</td><td align="left" valign="top" rowspan="1" colspan="1">171</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 10.1</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 3.12</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 107</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 97.2</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 3.5</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 2.89</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.555</td><td align="left" valign="top" rowspan="1" colspan="1">0.463</td><td align="left" valign="top" rowspan="1" colspan="1">0.13</td><td align="left" valign="top" rowspan="1" colspan="1">0.671</td><td align="left" valign="top" rowspan="1" colspan="1">0.11</td><td align="left" valign="top" rowspan="1" colspan="1">0.153</td><td align="left" valign="top" rowspan="1" colspan="1">0.47</td><td align="left" valign="top" rowspan="1" colspan="1">0.558</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Working</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 77.4</td><td align="left" valign="top" rowspan="1" colspan="1">133</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 5.88</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 6.78</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 11.6</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 28.1</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 0.109</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212; 0.587</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.558</td><td align="left" valign="top" rowspan="1" colspan="1">0.522</td><td align="left" valign="top" rowspan="1" colspan="1">0.294</td><td align="left" valign="top" rowspan="1" colspan="1">0.219</td><td align="left" valign="top" rowspan="1" colspan="1">0.631</td><td align="left" valign="top" rowspan="1" colspan="1">0.26</td><td align="left" valign="top" rowspan="1" colspan="1">0.929</td><td align="left" valign="top" rowspan="1" colspan="1">0.645</td></tr><tr><th colspan="10" align="left" valign="top" rowspan="1">Logistic regression<xref rid="TFN3" ref-type="table-fn">*</xref></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="top" rowspan="1">Uses MODs (no (ref))</th><th colspan="2" align="left" valign="top" rowspan="1">Uses PODs</th><th colspan="2" align="left" valign="top" rowspan="1">Uses dPODs</th><th colspan="2" align="left" valign="top" rowspan="1">Preferred flavor (non-flavored<break/>&#x02003;tobacco (ref))</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="left" valign="top" rowspan="1" colspan="1">Coef</td><td align="left" valign="top" rowspan="1" colspan="1">0.966</td><td align="left" valign="top" rowspan="1" colspan="1">0.922</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.918</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.876</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.915</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.880</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.992</td><td align="left" valign="top" rowspan="1" colspan="1">0.996</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.213</td><td align="left" valign="top" rowspan="1" colspan="1">0.045</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.835</td><td align="left" valign="top" rowspan="1" colspan="1">0.938</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gender</td><td align="left" valign="top" rowspan="1" colspan="1">Male</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">0.486</td><td align="left" valign="top" rowspan="1" colspan="1">0.420</td><td align="left" valign="top" rowspan="1" colspan="1">0.412</td><td align="left" valign="top" rowspan="1" colspan="1">0.421</td><td align="left" valign="top" rowspan="1" colspan="1">1.03</td><td align="left" valign="top" rowspan="1" colspan="1">1.15</td><td align="left" valign="top" rowspan="1" colspan="1">1.66</td><td align="left" valign="top" rowspan="1" colspan="1">1.76</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.361</td><td align="left" valign="top" rowspan="1" colspan="1">0.281</td><td align="left" valign="top" rowspan="1" colspan="1">0.071</td><td align="left" valign="top" rowspan="1" colspan="1">0.094</td><td align="left" valign="top" rowspan="1" colspan="1">0.937</td><td align="left" valign="top" rowspan="1" colspan="1">0.735</td><td align="left" valign="top" rowspan="1" colspan="1">0.531</td><td align="left" valign="top" rowspan="1" colspan="1">0.503</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Education</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c; HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ref</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ref</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">1.23</td><td align="left" valign="top" rowspan="1" colspan="1">3.06</td><td align="left" valign="top" rowspan="1" colspan="1">1.94</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>14.0</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.34</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>7.03</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.945</td><td align="left" valign="top" rowspan="1" colspan="1">0.843</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.711</td><td align="left" valign="top" rowspan="1" colspan="1">0.131</td><td align="left" valign="top" rowspan="1" colspan="1">0.270</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.530</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.957</td><td align="left" valign="top" rowspan="1" colspan="1">0.880</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e; HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">2,676,445</td><td align="left" valign="top" rowspan="1" colspan="1">8,040,485</td><td align="left" valign="top" rowspan="1" colspan="1">0.873</td><td align="left" valign="top" rowspan="1" colspan="1">1.37</td><td align="left" valign="top" rowspan="1" colspan="1">0.829</td><td align="left" valign="top" rowspan="1" colspan="1">1.21</td><td align="left" valign="top" rowspan="1" colspan="1">1.41</td><td align="left" valign="top" rowspan="1" colspan="1">1.47</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.991</td><td align="left" valign="top" rowspan="1" colspan="1">0.994</td><td align="left" valign="top" rowspan="1" colspan="1">0.750</td><td align="left" valign="top" rowspan="1" colspan="1">0.511</td><td align="left" valign="top" rowspan="1" colspan="1">0.575</td><td align="left" valign="top" rowspan="1" colspan="1">0.604</td><td align="left" valign="top" rowspan="1" colspan="1">0.630</td><td align="left" valign="top" rowspan="1" colspan="1">0.613</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Work</td><td align="left" valign="top" rowspan="1" colspan="1">Not working</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Status</td><td align="left" valign="top" rowspan="1" colspan="1">Student</td><td align="left" valign="top" rowspan="1" colspan="1">2.05*10^ &#x02212; 7</td><td align="left" valign="top" rowspan="1" colspan="1">2.78*10^ &#x02212; 9</td><td align="left" valign="top" rowspan="1" colspan="1">3.03</td><td align="left" valign="top" rowspan="1" colspan="1">1.04</td><td align="left" valign="top" rowspan="1" colspan="1">1.88</td><td align="left" valign="top" rowspan="1" colspan="1">0.52</td><td align="left" valign="top" rowspan="1" colspan="1">1.33*10^7</td><td align="left" valign="top" rowspan="1" colspan="1">1.33*10^7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.994</td><td align="left" valign="top" rowspan="1" colspan="1">0.998</td><td align="left" valign="top" rowspan="1" colspan="1">0.100</td><td align="left" valign="top" rowspan="1" colspan="1">0.955</td><td align="left" valign="top" rowspan="1" colspan="1">0.333</td><td align="left" valign="top" rowspan="1" colspan="1">0.360</td><td align="left" valign="top" rowspan="1" colspan="1">0.994</td><td align="left" valign="top" rowspan="1" colspan="1">0.995</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Working</td><td align="left" valign="top" rowspan="1" colspan="1">0.651</td><td align="left" valign="top" rowspan="1" colspan="1">0.448</td><td align="left" valign="top" rowspan="1" colspan="1">0.400</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.208</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.502</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.301</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.952</td><td align="left" valign="top" rowspan="1" colspan="1">0.701</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.610</td><td align="left" valign="top" rowspan="1" colspan="1">0.424</td><td align="left" valign="top" rowspan="1" colspan="1">0.160</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.031</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.149</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.025</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.956</td><td align="left" valign="top" rowspan="1" colspan="1">0.969</td></tr></tbody></table><table frame="hsides" rules="groups"><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"/></colgroup><tbody><tr><th colspan="10" align="left" valign="top" rowspan="1">Ordinal regression<xref rid="TFN3" ref-type="table-fn">*</xref></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="top" rowspan="1">How long to finish 1 POD</th><th colspan="2" align="left" valign="top" rowspan="1">Vaping Frequency</th><th colspan="2" align="left" valign="top" rowspan="1">Cigarette Frequency</th><th colspan="2" align="left" valign="top" rowspan="1">How soon after waking up:<break/>&#x02003;Vaping</th><th colspan="2" align="left" valign="top" rowspan="1">How soon after waking up:<break/>&#x02003;Smoking</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th><th align="left" valign="top" rowspan="1" colspan="1">Unadj</th><th align="left" valign="top" rowspan="1" colspan="1">Adj</th></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="left" valign="top" rowspan="1" colspan="1">Coef</td><td align="left" valign="top" rowspan="1" colspan="1">1.02</td><td align="left" valign="top" rowspan="1" colspan="1">1.06</td><td align="left" valign="top" rowspan="1" colspan="1">0.987</td><td align="left" valign="top" rowspan="1" colspan="1">0.946</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">0.989</td><td align="left" valign="top" rowspan="1" colspan="1">0.980</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">1.01</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.430</td><td align="left" valign="top" rowspan="1" colspan="1">0.105</td><td align="left" valign="top" rowspan="1" colspan="1">0.557</td><td align="left" valign="top" rowspan="1" colspan="1">0.829</td><td align="left" valign="top" rowspan="1" colspan="1">0.964</td><td align="left" valign="top" rowspan="1" colspan="1">0.737</td><td align="left" valign="top" rowspan="1" colspan="1">0.608</td><td align="left" valign="top" rowspan="1" colspan="1">0.460</td><td align="left" valign="top" rowspan="1" colspan="1">0.597</td><td align="left" valign="top" rowspan="1" colspan="1">0.467</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gender</td><td align="left" valign="top" rowspan="1" colspan="1">Male</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">0.694</td><td align="left" valign="top" rowspan="1" colspan="1">0.729</td><td align="left" valign="top" rowspan="1" colspan="1">0.476</td><td align="left" valign="top" rowspan="1" colspan="1">0.511</td><td align="left" valign="top" rowspan="1" colspan="1">0.785</td><td align="left" valign="top" rowspan="1" colspan="1">0.810</td><td align="left" valign="top" rowspan="1" colspan="1">0.547</td><td align="left" valign="top" rowspan="1" colspan="1">0.548</td><td align="left" valign="top" rowspan="1" colspan="1">1.38</td><td align="left" valign="top" rowspan="1" colspan="1">1.28</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.546</td><td align="left" valign="top" rowspan="1" colspan="1">0.616</td><td align="left" valign="top" rowspan="1" colspan="1">0.085</td><td align="left" valign="top" rowspan="1" colspan="1">0.132</td><td align="left" valign="top" rowspan="1" colspan="1">0.303</td><td align="left" valign="top" rowspan="1" colspan="1">0.379</td><td align="left" valign="top" rowspan="1" colspan="1">0.164</td><td align="left" valign="top" rowspan="1" colspan="1">0.189</td><td align="left" valign="top" rowspan="1" colspan="1">0.144</td><td align="left" valign="top" rowspan="1" colspan="1">0.270</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Education</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c; HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">0.447</td><td align="left" valign="top" rowspan="1" colspan="1">0.232</td><td align="left" valign="top" rowspan="1" colspan="1">0.953</td><td align="left" valign="top" rowspan="1" colspan="1">0.771</td><td align="left" valign="top" rowspan="1" colspan="1">0.850</td><td align="left" valign="top" rowspan="1" colspan="1">0.873</td><td align="left" valign="top" rowspan="1" colspan="1">0.855</td><td align="left" valign="top" rowspan="1" colspan="1">1.29</td><td align="left" valign="top" rowspan="1" colspan="1">1.11</td><td align="left" valign="top" rowspan="1" colspan="1">0.940</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.319</td><td align="left" valign="top" rowspan="1" colspan="1">0.126</td><td align="left" valign="top" rowspan="1" colspan="1">0.317</td><td align="left" valign="top" rowspan="1" colspan="1">0.633</td><td align="left" valign="top" rowspan="1" colspan="1">0.571</td><td align="left" valign="top" rowspan="1" colspan="1">0.660</td><td align="left" valign="top" rowspan="1" colspan="1">0.746</td><td align="left" valign="top" rowspan="1" colspan="1">0.661</td><td align="left" valign="top" rowspan="1" colspan="1">0.668</td><td align="left" valign="top" rowspan="1" colspan="1">0.821</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e; HS/GED</td><td align="left" valign="top" rowspan="1" colspan="1">0.933</td><td align="left" valign="top" rowspan="1" colspan="1">0.652</td><td align="left" valign="top" rowspan="1" colspan="1">1.071</td><td align="left" valign="top" rowspan="1" colspan="1">1.095</td><td align="left" valign="top" rowspan="1" colspan="1">0.718</td><td align="left" valign="top" rowspan="1" colspan="1">0.725</td><td align="left" valign="top" rowspan="1" colspan="1">0.881</td><td align="left" valign="top" rowspan="1" colspan="1">0.948</td><td align="left" valign="top" rowspan="1" colspan="1">0.880</td><td align="left" valign="top" rowspan="1" colspan="1">0.835</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.900</td><td align="left" valign="top" rowspan="1" colspan="1">0.489</td><td align="left" valign="top" rowspan="1" colspan="1">0.846</td><td align="left" valign="top" rowspan="1" colspan="1">0.813</td><td align="left" valign="top" rowspan="1" colspan="1">0.103</td><td align="left" valign="top" rowspan="1" colspan="1">0.118</td><td align="left" valign="top" rowspan="1" colspan="1">0.721</td><td align="left" valign="top" rowspan="1" colspan="1">0.895</td><td align="left" valign="top" rowspan="1" colspan="1">0.486</td><td align="left" valign="top" rowspan="1" colspan="1">0.336</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Work</td><td align="left" valign="top" rowspan="1" colspan="1">Not working</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ref</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ref</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Status</td><td align="left" valign="top" rowspan="1" colspan="1">Student</td><td align="left" valign="top" rowspan="1" colspan="1">1.41</td><td align="left" valign="top" rowspan="1" colspan="1">2.61</td><td align="left" valign="top" rowspan="1" colspan="1">1.36</td><td align="left" valign="top" rowspan="1" colspan="1">1.04</td><td align="left" valign="top" rowspan="1" colspan="1">2.72</td><td align="left" valign="top" rowspan="1" colspan="1">3.56</td><td align="left" valign="top" rowspan="1" colspan="1">0.469</td><td align="left" valign="top" rowspan="1" colspan="1">0.470</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.62*10^6</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>2.93*10^6</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.651</td><td align="left" valign="top" rowspan="1" colspan="1">0.257</td><td align="left" valign="top" rowspan="1" colspan="1">0.644</td><td align="left" valign="top" rowspan="1" colspan="1">0.952</td><td align="left" valign="top" rowspan="1" colspan="1">0.338</td><td align="left" valign="top" rowspan="1" colspan="1">0.222</td><td align="left" valign="top" rowspan="1" colspan="1">0.243</td><td align="left" valign="top" rowspan="1" colspan="1">0.310</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c; 0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Working</td><td align="left" valign="top" rowspan="1" colspan="1">1.34</td><td align="left" valign="top" rowspan="1" colspan="1">1.59</td><td align="left" valign="top" rowspan="1" colspan="1">0.440</td><td align="left" valign="top" rowspan="1" colspan="1">0.448</td><td align="left" valign="top" rowspan="1" colspan="1">0.901</td><td align="left" valign="top" rowspan="1" colspan="1">0.942</td><td align="left" valign="top" rowspan="1" colspan="1">0.596</td><td align="left" valign="top" rowspan="1" colspan="1">0.581</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>1.67</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">1.60</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</td><td align="left" valign="top" rowspan="1" colspan="1">0.680</td><td align="left" valign="top" rowspan="1" colspan="1">0.529</td><td align="left" valign="top" rowspan="1" colspan="1">0.115</td><td align="left" valign="top" rowspan="1" colspan="1">0.129</td><td align="left" valign="top" rowspan="1" colspan="1">0.700</td><td align="left" valign="top" rowspan="1" colspan="1">0.831</td><td align="left" valign="top" rowspan="1" colspan="1">0.322</td><td align="left" valign="top" rowspan="1" colspan="1">0.307</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>0.046</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">0.073</td></tr></tbody></table><table-wrap-foot><fn id="TFN3"><label>*</label><p id="P42">Adjusted models: age, gender, education, and work status</p></fn><fn id="TFN4"><p id="P43">Values in bold are statistically significant</p></fn></table-wrap-foot></table-wrap><boxed-text id="BX1" position="float"><caption><title>Impact Statement</title></caption><p id="P44">This study provides critical data on self-reported COVID-19, chronic disease outcomes, and exposure to commercial nicotine products, including electronic cigarettes. Results from this unique Tribal community&#x02013;initiated and community-driven study with a large sample size (<italic toggle="yes">N</italic> = 562 participants from 289 households) will help explain the role that environmental exposures played on Tribal communities&#x02019; 3.7 times increased mortality from COVID-19 disease, target public health interventions, and inform Tribal public health policies on emergency preparedness and exposure analyses.</p></boxed-text></floats-group></article>