Identifying Factors That Influence Physical Activity and Healthy Aging Among Older Latino Adults.

BACKGROUND: For older Latinos, some benefits of leisure-time physical activity (LTPA) include enhanced cognitive functioning, decreased loneliness, and reduced premature mortality. Despite LTPA benefits, adults ≥50 years are one of the most inactive age groups in the United States. METHODS: This qualitative study aimed to add to the limited evidence of LTPA in older Latino adults by exploring the barriers and facilitators for fitness class uptake and park use. Guided by a Social-Ecological Model of Health and Social Determinants of Health theoretical and a phenomenological research design, qualitative research data were collected via 27 personal interviews with Latino adults using a semistructured interview guide. Participants were recruited using purposive sampling strategies in collaboration with community partners. Bicultural data collectors conducted the semistructured interviews over Zoom. Thematic analysis was performed using Dedoose, following an inductive and deductive approach. RESULTS: The main barriers to fitness class attendance and park use were family and/or work commitments, perceived safety, and perceived discrimination. Conversely, the critical facilitators for participation were socialization into a group, social connectedness with group members, fitness instructor characteristics, and exercise history. CONCLUSIONS: Findings from this study hold important implications for the design of fitness programming and park-based recreation, including the need to increase the cultural diversity of recreation staff and culturally relevant programming. Future research is needed on time poverty related to family/work commitments and whether discriminatory practices at fitness centers, like ageism and race/ethnicity, influence physical activity behavior.

Racial and Ethnic Disparities in Adolescent Combustible Tobacco Smoking from 2014 to 2020: Declines are lagging among non-Hispanic Black Youth.

INTRODUCTION: We quantified the linear trend in combustible tobacco smoking among adolescents in the United States from 2014 to 2020, then compared these trends across racial and ethnic category. We also tested the effect of e-cigarette use on these trends for all youth and across racial and ethnic categories. METHODS: We pooled and analyzed seven years of National Youth Tobacco Survey (NYTS) data for n=124,151 middle and high school students from 2014 to 2020. Weighted logistic regression analyses calculated the annual change in combustible tobacco smoking (i.e., cigarettes, cigars, and hookah) from 2014 to 2020. Stratified analyses examined linear trends for non-Hispanic White (NHW), NH-Black (NHB), Hispanic/Latino, and NH-Other (NHO) youth. All models controlled for sex, grade level, and past 30-day e-cigarette use. RESULTS: Combustible tobacco smoking from 2014 to 2020 dropped by more than 50% for NHW youth, more than 40% for Latino and NHO youth, compared to just 16% among NHB youth. From 2014 to 2020, odds of combustible tobacco smoking declined by 21.5% per year for NHWs, which was significantly greater than Hispanic/Latinos (17% per year; p=0.025), NHOs (15.4% per year; p=0.01), and NHBs (5.1% per year; p<0.001), adjusting for sex, grade, and e-cigarette use. Trends and disparities in trends by race and ethnicity were observed independent of e-cigarette use. CONCLUSIONS: Combustible tobacco smoking declined for all youth but at significantly different rates across races and ethnicity. Notably, declines in combustible tobacco smoking are lagging among NHB youth. Interventions are critically needed to address this disparity. IMPLICATIONS: A direct, evidence-based intervention to reduce combustible tobacco smoking among NHB youth is critically needed. Such tobacco control initiatives should follow the Best Practices for Comprehensive Tobacco Control Framework, incorporating sustainable funding for school-based intervention, public health education, and adult cessation.

Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study.

BACKGROUND: Coronavirus 2019 (COVID-19) pandemic has claimed over six million lives and infected more than 650 million people globally. Public health agencies have deployed several strategies, including rolling out vaccination campaigns to curb the pandemic, yet a significant proportion of the global population has not received the COVID-19 vaccine. We assessed differences in COVID-19 vaccination coverage by Gross National Income (GNI) per capita of WHO members (i.e., countries, areas, and territories, n = 192) and by WHO member regions (n = 6). METHODS: Using an ecological study design, we analyzed publicly available data from the WHO website merged with the World Bank's GNI per capita data. We included a total of 192 WHO members and six WHO regions in the analysis. We utilized negative binomial regression to assess the associations between the GNI per capita and COVID-19 vaccination coverage (cumulative number of persons fully vaccinated and/or received at least one dose of the vaccine per 100 population), and ANOVA test to assess the differences in vaccination coverage per WHO regions. RESULTS: Low GNI per capita WHO members had significantly lower full vaccination coverage (aRR 0.30, 95% CI 0.22-0.40) compared to high GNI per capita WHO members. These members were also 66% less likely to receive at least one dose of the vaccine (aRR 0.34, 0.26-0.44) relative to high GNI per capita WHO members. Africa region had a significantly lower fully vaccination coverage (aRR 0.71, 95% CI 0.36-0.54) and received at least one dose of the COVID-19 vaccine (aRR 0.78, 95% CI 0.62-0.99) than Europe region. Conversely, the Western Pacific region had significantly higher fully vaccination coverage (aRR 1.40 95% CI 1.12-1.74) and received at least one dose of COVID-19 vaccines (aRR 1.40 95% CI 1.14-1.73) relative to European region. CONCLUSION: WHO members with low GNI per capita and the African region reported significantly lower COVID-19 vaccination coverage than those with high GNI per capita or other regions. Efforts to strengthen and promote COVID-19 vaccination in low-income WHO countries and African region should be scaled up.

Long-term immune response to SARS-CoV-2 infection and vaccination in children and adolescents.

BACKGROUND: This analysis examined the durability of antibodies present after SARS-CoV-2 infection and vaccination in children and adolescents. METHODS: Data were collected over 4 time points between October 2020-November 2022 as part of a prospective population-based cohort aged 5-to-19 years (N = 810). Results of the (1) Roche Elecsys® Anti-SARS-CoV-2 Immunoassay for detection of antibodies to the SARS-CoV-2 nucleocapsid protein (Roche N-test); and (2) qualitative and semi-quantitative detection of antibodies to the SARS CoV-2 spike protein receptor binding domain (Roche S-test); and (3) self-reported antigen/PCR COVID-19 test results, vaccination and symptom status were analyzed. RESULTS: N antibody levels reached a median of 84.10 U/ml (IQR: 20.2, 157.7) cutoff index (COI) ~ 6 months post-infection and increased slightly to a median of 85.25 (IQR: 28.0, 143.0) COI at 12 months post-infection. Peak S antibody levels were reached at a median of 2500 U/mL ~6 months post-vaccination and remained for ~12 months (mean 11.6 months, SD 1.20). CONCLUSIONS: This analysis provides evidence of robust durability of nucleocapsid and spike antibodies in a large pediatric sample up to 12 months post-infection/vaccination. This information can inform pediatric SARS-CoV-2 vaccination schedules. IMPACT: This study provided evidence of robust durability of both nucleocapsid and spike antibodies in a large pediatric sample up to 12 months after infection. Little is known about the long-term durability of natural and vaccine-induced SARS-CoV-2 antibodies in the pediatric population. Here, we determined the durability of anti-SARS-CoV-2 spike (S-test) and nucleocapsid protein (N-test) in children/adolescents after SARS-CoV-2 infection and/or vaccination lasts at least up to 12 months. This information can inform future SARS-CoV-2 vaccination schedules in this age group.

Volunteering, Health, and Well-being of Children and Adolescents in the United States.

This cross-sectional study examines whether there is an association between volunteering and well-being among children and adolescents across the United States.

SARS-CoV-2 Serostatus and COVID-19 Illness Characteristics by Variant Time Period in Non-Hospitalized Children and Adolescents.

OBJECTIVE: To describe COVID-19 illness characteristics, risk factors, and SARS-CoV-2 serostatus by variant time period in a large community-based pediatric sample. DESIGN: Data were collected prospectively over four timepoints between October 2020 and November 2022 from a population-based cohort ages 5 to 19 years old. SETTING: State of Texas, USA. PARTICIPANTS: Participants ages 5 to 19 years were recruited from large pediatric healthcare systems, Federally Qualified Healthcare Centers, urban and rural clinical practices, health insurance providers, and a social media campaign. EXPOSURE: SARS-CoV-2 infection. MAIN OUTCOME(S) AND MEASURE(S): SARS-CoV-2 antibody status was assessed by the Roche Elecsys® Anti-SARS-CoV-2 Immunoassay for detection of antibodies to the SARS-CoV-2 nucleocapsid protein (Roche N-test). Self-reported antigen or PCR COVID-19 test results and symptom status were also collected. RESULTS: Over half (57.2%) of the sample (N = 3911) was antibody positive. Symptomatic infection increased over time from 47.09% during the pre-Delta variant time period, to 76.95% during Delta, to 84.73% during Omicron, and to 94.79% during the Omicron BA.2. Those who were not vaccinated were more likely (OR 1.71, 95% CI 1.47, 2.00) to be infected versus those fully vaccinated. CONCLUSIONS: Results show an increase in symptomatic COVID-19 infection among non-hospitalized children with each progressive variant over the past two years. Findings here support the public health guidance that eligible children should remain up to date with COVID-19 vaccinations.

Re: Impact of the "e-cigarette era" on cigarette smoking among youth: A population-level study.

Our original paper is: Harrell MB, Mantey DS, Baojiang C, Kelder SH, Barrington-Trimis J. Impact of the e-cigarette era on cigarette smoking among youth in the United States A population-level study. Preventive Medicine 2022; 164:107265). This is a response to correspondence received from Foxon and Juul Labs Inc. (JUUL) regarding our original paper.

Mixed methods evaluation of vaping and tobacco product use prevention interventions among youth in the Florida 4-H program.

INTRODUCTION: Novel prevention programs are developed to address the increase in e-cigarette use (vaping) among children. However, it remains paramount to test their feasibility in rural settings. This pilot study implemented and evaluated the feasibility and outcomes of two innovative programs, CATCH My Breath and smokeSCREEN, among youth in rural settings in Florida. METHODS: We conducted four focus groups with youth aged 11-17 recruited from 4-H rural clubs in Florida. In a subsequent randomized trial, we recruited 82 youth participants and assigned them to one of three arms: CATCH My Breath, smokeSCREEN, or control. CATCH My Breath and smokeSCREEN participants attended online group intervention sessions while the control group received educational material. Pre- and post-surveys were administered to all participants to assess knowledge, susceptibility, perceived positive outcomes and risk perceptions related to tobacco and e-cigarette use. Other feasibility parameters were also assessed. RESULTS: Focus group discussions provided insights about feasibility and informed the implementation of both interventions in terms of delivery format, scheduling of sessions and incentives. After the intervention, CATCH My Breath participants significantly improved their general tobacco-related knowledge (post-pre = 16.21-12.92 = 3.3, p <.01) and risk perceptions towards other flavored tobacco products (post-pre = 19.29-17.71 = 1.6, p <.05). smokeSCREEN participants significantly improved their general tobacco knowledge (post-pre = 18.77-13.77 = 5.0, p <.01), knowledge about e-cigarettes (post-pre = 9.08-6.31 = 2.8, p <.01) and risk perception towards e-cigarettes (post-pre = 24.69-21.92 = 2.8, p <.05). CONCLUSIONS: This study demonstrated feasibility of delivering the interventions via participant engagement, participants' willingness to be randomized, assessment of outcome measures, and exploration of different recruitment methods. Despite the potential positive influence of CATCH My Breath and smokeSCREEN on youth participants, further evaluation with larger samples is needed.

Incidence and Predictors of Breakthrough and Severe Breakthrough Infections of SARS-CoV-2 After Primary Series Vaccination in Adults: A Population-Based Survey of 22 575 Participants.

BACKGROUND: Breakthrough infections of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are well documented. The current study estimates breakthrough incidence across pandemic waves, and evaluates predictors of breakthrough and severe breakthrough infections (defined as those requiring hospitalization). METHODS: In total, 89 762 participants underwent longitudinal antibody surveillance. Incidence rates were calculated using total person-days contributed. Bias-corrected and age-adjusted logistic regression determined multivariable predictors of breakthrough and severe breakthrough infection, respectively. RESULTS: The incidence was 0.45 (95% confidence interval [CI], .38-.50) during pre-Delta, 2.80 (95% CI, 2.25-3.14) during Delta, and 11.2 (95% CI, 8.80-12.95) during Omicron, per 10 000 person-days. Factors associated with elevated odds of breakthrough included Hispanic ethnicity (vs non-Hispanic white, OR = 1.243; 95% CI, 1.073-1.441), larger household size (OR = 1.251 [95% CI, 1.048-1.494] for 3-5 vs 1 and OR = 1.726 [95% CI, 1.317-2.262] for more than 5 vs 1 person), rural versus urban living (OR = 1.383; 95% CI, 1.122-1.704), receiving Pfizer or Johnson & Johnson versus Moderna, and multiple comorbidities. Of the 1700 breakthrough infections, 1665 reported on severity; 112 (6.73%) were severe. Higher body mass index, Hispanic ethnicity, vaccine type, asthma, and hypertension predicted severe breakthroughs. CONCLUSIONS: Breakthrough infection was 4-25 times more common during the Omicron-dominant wave versus earlier waves. Higher burden of severe breakthrough infections was identified in subgroups.

Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach.

INTRODUCTION: Tobacco-related content is prevalent on social media, yet many methods of measuring exposure are inadequate due to the personalized nature of online marketing. The purpose of this paper is to examine the association between exposure to pro-tobacco messages (both industry-sponsored and user-generated) and the use of tobacco products, as reported via ecological momentary assessment (EMA). METHODS: Young adults (n = 175) were instructed to record all sightings of marketing (both in-person and online) related to tobacco for 28 days. Tobacco product use and recall of message encounters were assessed daily using app-initiated EMA. RESULTS: Participants who reported exposure to tobacco messages were significantly more likely to report using tobacco, adjusting for gender, age, race/ethnicity, baseline use of any tobacco product, and having friends who use tobacco and e-cigarettes (p <.001). For each industry-sponsored message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.77 (95 % CI = 1.41, 2.23). For each user-generated message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.52 (95 % CI = 1.27, 1.83). DISCUSSION: To our knowledge, this is the first study to specifically examine the association between exposure to user-generated messages and daily tobacco use. The findings suggests that there is a unique element to user-generated messages that distinguishes them from both traditional marketing and from simple peer influence.

Antibody Duration After Infection From SARS-CoV-2 in the Texas Coronavirus Antibody Response Survey.

Understanding the duration of antibodies to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that causes COVID-19 is important to controlling the current pandemic. Participants from the Texas Coronavirus Antibody Response Survey (Texas CARES) with at least 1 nucleocapsid protein antibody test were selected for a longitudinal analysis of antibody duration. A linear mixed model was fit to data from participants (n = 4553) with 1 to 3 antibody tests over 11 months (1 October 2020 to 16 September 2021), and models fit showed that expected antibody response after COVID-19 infection robustly increases for 100 days postinfection, and predicts individuals may remain antibody positive from natural infection beyond 500 days depending on age, body mass index, smoking or vaping use, and disease severity (hospitalized or not; symptomatic or not).

Remote Versus In-Person Learning During COVID-19: Comparison of E-Cigarette Susceptibility and Ever Use Among a Diverse Cohort of 6th-Grade Students in Texas.

BACKGROUND: In response to SARS-CoV2 (COVID-19), school districts incorporated remote learning as a mitigation strategy. This study examines the association between classroom setting (ie, on-campus versus remote) and e-cigarette susceptibility or ever use among a sample of Texas public middle school students. METHODS: Data from n = 985 students enrolled in the CATCH My Breath E-Cigarette Prevention Program trial were collected in Spring 2021. Participants were 6th-grade students in urban Texas. E-cigarette use was examined using the "at-risk" definition described by FDA, indicating either: (1) susceptible never user; or (2) experimental ever use. A multilevel, logistic regression model examined the association between classroom setting and e-cigarette susceptibility/ever use. Covariates included sex, race/ethnicity, academic achievement, household e-cigarette use, perceived school connectedness, and school-level economic status. Models account for nesting within school district. Analyses stratified by race/ethnicity were also conducted. RESULTS: Overall, 36.3% of the sample were susceptible never users or ever e-cigarette users. The sample was comprised of 55.0% on-campus and 45.0% remote learners. On-campus learners had greater odds of reporting e-cigarette susceptibility or ever use (aOR: 1.45; p = .014). These findings were observed among Latino (aOR: 1.77; p = .026) and White (aOR: 2.10; p = .099) but not African American/Black (aOR: 0.86; p = .728) youth. CONCLUSIONS: On-campus learning during the Spring 2021 semester was associated with greater risk for e-cigarette susceptibility or ever use among a diverse sample of 6th-grade students. E-cigarette susceptibility and ever use is a risk factor for progression to long-term e-cigarette use in later adolescence. IMPLICATIONS: As school districts prepare to return to on-campus learning in 2022, a focused approach to e-cigarette prevention may be needed to prevent widespread e-cigarette initiation and continued use. Further, study findings demonstrate a need for further research on the school environment as a determinant of e-cigarette use.

Impact of the e-cigarette era on cigarette smoking among youth in the United States: A population-level study.

To examine and compare trends in past 30-day cigarette smoking among adolescents in the US from 2002 to 2019, before and after the onset of the "e-cigarette era" in 2014. Using National Youth Tobacco Survey (NYTS) data from 2002 to 2019, we modeled the prevalence of past 30-day cigarette smoking over time. A total of n = 274,551 (weighted N = 340,403,754) middle and high school students were included in this study. Interrupted time series analyses were used to examine changes in cigarette smoking over time and compare trends in cigarette smoking pre- and post-2014. Models were applied to the full sample and stratified by middle (6th-8th grade) and high school (9th-12th grade). The observed number of current adolescent cigarette smokers post-2014 was compared to the predicted number, given trends in cigarette smoking prevalence observed pre-2014. Among all students, past 30-day cigarette smoking declined by approximately 0.75% per year from 2002 to 2013 (p < 0.001). Following a significant drop in prevalence from 2013 to 2014 (1.64%; p < 0.001), the decline in past 30-day cigarette smoking slowed significantly to approximately 0.37% per year (p < 0.001), from 2015 to 2019. We estimate that the onset of the "e-cigarette era" in 2014 corresponded to over 1.66 million (95% CI: 1.57 m - 1.75 m) more past 30-day cigarette smokers from 2015 to 2019, cumulatively. The rate of decline in past 30-day cigarette smoking prevalence among adolescents observed since 2002 slowed with the onset of the "e-cigarette era" in 2014, providing evidence at a population-level for the "gateway effect."

Comparison of Persistent Symptoms Following SARS-CoV-2 Infection by Antibody Status in Nonhospitalized Children and Adolescents.

BACKGROUND: The prevalence of long-term symptoms of coronavirus disease 2019 (COVID-19) in nonhospitalized pediatric populations in the United States is not well described. The objective of this analysis was to examine the presence of persistent COVID symptoms in children by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody status. METHODS: Data were collected between October 2020 and May 2022 from the Texas Coronavirus Antibody REsponse Survey, a statewide prospective population-based survey among 5-90 years old. Serostatus was assessed by the Roche Elecsys Anti-SARS-CoV-2 Immunoassay for detection of antibodies to the SARS-CoV-2 nucleocapsid protein. Self-reported antigen/polymerase chain reaction COVID-19 test results and persistent COVID symptom status/type/duration were collected simultaneously. Risk ratios for persistent COVID symptoms were calculated versus adults and by age group, antibody status, symptom presence/severity, variant, body mass index and vaccine status. RESULTS: A total of 82 (4.5% of the total sample [n = 1813], 8.0% pre-Delta, 3.4% Delta and beyond) participants reported persistent COVID symptoms (n = 27 [1.5%] 4-12 weeks, n = 58 [3.3%] >12 weeks). Compared with adults, all pediatric age groups had a lower risk for persistent COVID symptoms regardless of length of symptoms reported. Additional increased risk for persistent COVID symptoms >12 weeks included severe symptoms with initial infection, not being vaccinated and having unhealthy weight (body mass index ≥85th percentile for age and sex). CONCLUSIONS: These findings highlight the existence of nonhospitalized youth who may also experience persistent COVID symptoms. Children and adolescents are less likely to experience persistent COVID symptoms than adults and more likely to be symptomatic, experience severe symptoms and have unhealthy weight compared with children/adolescents without persistent COVID symptoms.

Home Smoke-Free Policies as Children Age: Urban, Rural, and Suburban Differences.

INTRODUCTION: Parents/guardians can effectively reduce tobacco smoking and secondhand smoke exposure among youth by adopting and enforcing rules against indoor tobacco smoking (ie, home smoke-free policies). We investigate home smoke-free policies from childhood to adolescence in the United States and across rural, suburban, and urban households. AIMS AND METHODS: We analyzed 2019-2020 National Survey of Children's Health data from n = 5,955 parents of youth aged 0-17, living at home with a tobacco smoker in the United States (U.S). Geographical categories were: rural, suburban, and urban. Home smoke-free policy reflected prohibiting tobacco smoking inside the home. Weighted logistic regressions examined the (1) association between youth age and home smoke-free policies, (2) interaction between geographic category and youth age, and (3) differing associations between youth age and home smoke-free policies by geography. Models controlled for youth race, ethnicity, sex, parental education, household annual income, and home structure. RESULTS: Approximately 13.2% of U.S. households with a smoker did not have a home smoke-free policy. Stratified analyses found one-year increase in youth age was associated with lower odds of having a home smoke-free policy in rural (aOR:0.91; 95%CI: 0.87-0.95) and urban (aOR: 0.96; 95%CI: 0.92-1.00; p = .039), but not suburban (aOR:1.00; 95%CI: 0.95-1.05) households, controlling for covariates. CONCLUSION: Odds of having a smoke-free home in the U.S. declined significantly in rural (9% per year) and urban (4%) but not suburban (0%) households. We quantify declines in home smoke-free policies as children age and identify geographic disparities for this environmental determinant of health. IMPLICATIONS: Health promotion efforts targeting secondhand smoke prevention is needed, particularly for parents of older youth. Furthermore, there is a clear geographic bias in secondhand smoke exposure among all youth particularly older youth. Tailored interventions are needed to address geographic disparities in secondhand smoke exposure among rural and urban youth.

Multiple tobacco product use among cigarette smokers: a longitudinal examination of menthol and non-menthol smokers during young adulthood.

BACKGROUND: Multiple tobacco product (MTP) use is common among young adults. Most MTP users are combustible cigarette smokers that use one or more other tobacco products. This study aims to explore menthol as a risk factor for MTP use among a cohort of young adult cigarette smokers. METHODS: Participants were 18-29 years cigarette smokers at 24 Texas colleges in a 6-wave study. Participants (n=4700 observations) were classified as: single product users (ie, exclusive cigarette smoking); dual product users and poly product users. A multilevel, ordered logistic regression model was used to examine the association between menthol cigarette smoking and MTP use. Two longitudinal, multilevel, multinomial logistic regressions were used to examine the relationship between menthol cigarette smoking and number of tobacco products used. RESULTS: Overall, 40.7% of the sample were single product users, 33.7% were dual product users and 25.6% were poly product users. Menthol was associated with 1.28 greater odds of MTP use. Further, menthol was associated with 1.19 greater risk of dual and 1.40 greater risk of poly product use, relative to single product use. Lastly, menthol cigarette smoking was associated with 1.18 greater risk of poly product use, relative to dual product use. CONCLUSIONS: There was a gradient relationship between menthol cigarette smoking and number of tobacco products used among young adult cigarette smokers. Findings provide for greater regulatory and programmatic efforts to reduce the use of menthol cigarettes.

School Connectedness and E-cigarette Susceptibility/ Ever Use in Texas 6th-Grade Students.

Objectives: We examined the association between school connectedness (SC) and e-cigarette susceptibility/ ever use in a diverse sample of Texas 6th graders, with a secondary aim to explore the association stratified by gender and classroom setting (in-person vs remote). Methods: A cross-sectional analysis was conducted of CATCH My Breath baseline data, representing 985 6th -graders from 21 public schools. SC was based on National Longitudinal Study of Adolescent Health measures; e-cigarette susceptibility/ever use was based on the FDA's definition of "at-risk" for long-term use. We conducted multi-level logistic regression analyses.Results: Over half the sample was Hispanic (57.6%), with 36.2% reporting susceptibility/ever use. Lower SC was associated with increased odds of e-cigarette susceptibility/ever use (low SC: aOR: 5.17, 95% CI: 3.54, 7.55; medium SC: aOR: 2.15, 95% CI: 1.44, 2.91; high SC= referent). The association held across gender groups, with low SC girls reporting the highest odds of susceptibility/ever use (aOR: 7.83, 95% CI: 4.51, 13.61). Low SC in- person and remote students were 6 and 4 times, respectively, more likely to report susceptibility/ever use as high SC students (p<.05). Conclusion: SC protected against e-cigarette susceptibility/ever use in this sample.

Strategies to Estimate Prevalence of SARS-CoV-2 Antibodies in a Texas Vulnerable Population: Results From Phase I of the Texas Coronavirus Antibody Response Survey.

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and immunity remains uncertain in populations. The state of Texas ranks 2nd in infection with over 2.71 million cases and has seen a disproportionate rate of death across the state. The Texas CARES project was funded by the state of Texas to estimate the prevalence of SARS-CoV-2 antibody status in children and adults. Identifying strategies to understand natural as well as vaccine induced antibody response to COVID-19 is critical. Materials and Methods: The Texas CARES (Texas Coronavirus Antibody Response Survey) is an ongoing prospective population-based convenience sample from the Texas general population that commenced in October 2020. Volunteer participants are recruited across the state to participate in a 3-time point data collection Texas CARES to assess antibody response over time. We use the Roche Elecsys® Anti-SARS-CoV-2 Immunoassay to determine SARS-CoV-2 antibody status. Results: The crude antibody positivity prevalence in Phase I was 26.1% (80/307). The fully adjusted seroprevalence of the sample was 31.5%. Specifically, 41.1% of males and 21.9% of females were seropositive. For age categories, 33.5% of those 18-34; 24.4% of those 35-44; 33.2% of those 45-54; and 32.8% of those 55+ were seropositive. In this sample, 42.2% (89/211) of those negative for the antibody test reported having had a COVID-19 test. Conclusions: In this survey we enrolled and analyzed data for 307 participants, demonstrating a high survey and antibody test completion rate, and ability to implement a questionnaire and SARS-CoV-2 antibody testing within clinical settings. We were also able to determine our capability to estimate the cross-sectional seroprevalence within Texas's federally qualified community centers (FQHCs). The crude positivity prevalence for SARS-CoV-2 antibodies in this sample was 26.1% indicating potentially high exposure to COVID-19 for clinic employees and patients. Data will also allow us to understand sex, age and chronic illness variation in seroprevalence by natural and vaccine induced. These methods are being used to guide the completion of a large longitudinal survey in the state of Texas with implications for practice and population health.