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Electronic Nicotine Delivery Systems (ENDS) use among adolescents has increased greatly over the past decade, but its impact on chronic respiratory health conditions, like asthma, is not fully understood. We examined data from Waves 1–5 (2013–2019) of the Population Assessment of Tobacco and Health Study using discrete time hazard models to analyze the association between time-varying tobacco product use and incident diagnosed asthma among adolescents aged 12–17 years at baseline. We lagged the time-varying exposure variable by one wave and categorized respondents by current use status (1+ days in the past 30 days): never or non-current, exclusive cigarette, exclusive ENDS, and dual cigarette and ENDS use. We also controlled for sociodemographic (age, sex, race/ethnicity, parental education) and other risk factors (urban/rural setting, secondhand smoke exposure, household combustible tobacco use, body mass index). At baseline, over half the analytic sample (n = 9,141) was 15–17 years old (50.4%), female (50.2%), and non-Hispanic White (55.3%). Adolescents who exclusively smoked cigarettes had a statistically significant higher risk of incident diagnosed asthma at follow-up (adjusted Hazard Ratio (aHR): 1.68, 95% confidence interval (CI): 1.21–2.32) compared to those not currently using cigarettes or ENDS, but adolescents using ENDS exclusively (aHR: 1.25, 95% CI: 0.77–2.04) or in combination with cigarettes (aHR: 1.54, 95% CI: 0.92–2.57) did not. Short-term exclusive cigarette use was associated with a higher risk of incident diagnosed asthma over five years of follow-up among adolescents. We did not find conclusive evidence for an association between exclusive ENDS or dual use and incident diagnosed asthma. [ABSTRACT FROM AUTHOR]

Racism and cisgenderism expose transgender people of color to adversity across the life course. However, little is known about the prevalence of adverse childhood experiences (ACEs) in this population or their association with health in comparison to other groups. Guided by the structural trauma framework, we examined race/ethnicity/gender group differences in the prevalence of ACEs and their association with adult mental and physical health. 2019–2021 Behavioral Risk Factor Surveillance Survey. Transgender participants (n = 551) were matched with two cisgender men (n = 1102) and two cisgender women (n = 1102) on key covariates. We compared age-adjusted predicted probabilities of nine ACEs by race/ethnicity/gender group. We then fit adjusted logistic regression models predicting poor mental and physical health by each ACE and compared marginal effects between groups. Transgender people of color had higher age-adjusted probabilities of six ACEs than at least one other group; for example, household incarceration was 0.16 (95 % CI: 0.11–0.22) compared to 0.09 (95 % CI: 0.06–0.13) for cisgender men of color (p = 0.032). The relationship between five ACEs and poor mental health was greater for transgender people of color than at least one other group. For instance, the marginal effect of household alcoholism on poor mental health was 0.28 (95 % CI: 0.11–0.45) compared to 0.07 (0.01–0.14) for White cisgender men (p = 0.031). There were no statistically significant differences regarding effects on poor physical health. ACEs inequitably impact transgender people of color, reflecting the need to restructure the interlocking systems that drive adversity among transgender children of color and exacerbate ACEs' health effects among adults. [ABSTRACT FROM AUTHOR]

This study examines sociodemographic patterns of exclusive/dual/polytobacco use among U.S. high school students using multiple national surveys. Using three national youth surveys (Population Assessment of Tobacco and Health [PATH] Wave 4 [2016–2017], 2017 Youth Risk Behavior Survey, and 2017 National Youth Tobacco Survey), we classified tobacco products into four groups: (1) electronic nicotine delivery systems (ENDS), (2) conventional cigarettes (CCs), (3) other combustible tobacco products, and (4) smokeless tobacco products. We created 16 categories of non/exclusive/dual/polytobacco use within the past 30 days using the four product groups and calculated weighted population prevalence by sex and race/ethnicity (all surveys) and parental education and income (PATH), based on variable availability. The results from 9,331, 12,407, and 9,699 high school students in PATH, Youth Risk Behavior Survey, and National Youth Tobacco Survey, respectively, largely agreed and pointed to similar conclusions. ENDS was the most prevalent exclusive use product (3.8%–5.2% across surveys), with CCs falling to second or third (1.2%–2.0% across surveys). By sex, exclusive, dual, and poly smokeless tobacco product use were more common for males, whereas exclusive CC use was more common for females. By race/ethnicity, non-Hispanic Whites had a higher prevalence of exclusive ENDS use and ENDS/CC dual use than non-Hispanic Blacks. As income and parental education levels increased from low to high, the prevalence of exclusive CC use decreased, whereas the prevalence of exclusive ENDS use increased. Understanding sociodemographic patterns of tobacco use can help identify groups who may be at greater risk for tobacco-related health outcomes. [ABSTRACT FROM AUTHOR]

Limited research exists on tobacco taxes and cigarette smoking initiation and progression, particularly across different sociodemographic groups in young adulthood. This project examines how cigarette pack price in late adolescence prospectively relates to smoking initiation and progression by 21 years of age, focusing on differences across demographics. Data are from the longitudinal Monitoring the Future project (2001–2017). Monitoring the Future examines drug use behaviors with nationally representative samples of 12th graders annually. Subsamples of 12th graders are followed up longitudinally. We examined past 30-day cigarette smoking among baseline never smokers (N = 9,232) and daily smoking among youths who were not daily cigarette smokers at baseline (N = 15,141). Using logistic regression, we examined state-level cigarette pack price at a modal age of 18 years and smoking at follow-up ages 19–20 years; we used interaction terms to assess differences across sociodemographic groups (by gender, race/ethnicity, and parental education). For each dollar increase in price at baseline, the odds of initiation by age 19–20 years were reduced by 12% (adjusted odds ratio =.88; 95% confidence interval =.78,.99) and the odds of progression to daily smoking were reduced by 16% (adjusted odds ratio =.84; 95% confidence interval =.76,.92). After adjusting for multiple testing, for both outcomes there were no statistically significant interactions between price and demographics. Cigarette prices in late adolescence were associated with a prospective reduction in cigarette smoking initiation and progression among young adults, with limited differences across sociodemographic characteristics. Higher cigarette prices can prevent smoking initiation and progression; however, complementary interventions are needed to reduce initiation and progression among subgroups disproportionately affected by tobacco. [ABSTRACT FROM AUTHOR]

Understanding the relationship between ENDS use and chronic obstructive pulmonary disease (COPD) and other respiratory conditions is critical. However, most previous studies have not fully adjusted for cigarette smoking history. Using Waves 1–5 of the U.S. Population Assessment of Tobacco and Health study, the association between ENDS use and self-reported incident COPD was examined among adults aged 40+ years using discrete-time survival models. Current ENDS use was measured as a time-varying covariate, lagged by 1 wave, defined as established daily or some days of use. Multivariable models were adjusted for baseline demographics (age, sex, race/ethnicity, education), health characteristics (asthma, obesity, exposure to second-hand smoke), and smoking history (smoking status and cigarette pack years). Data were collected between 2013 and 2019, and the analysis was conducted in 2021–2022. Incident COPD was self-reported by 925 respondents during the 5-year follow-up. Before adjusting for other covariates, time-varying ENDS use appeared to double COPD incidence risk (hazard ratio=1.98, 95% CI=1.44, 2.74). However, ENDS use was no longer associated with COPD (adjusted hazard ratio=1.10, 95% CI=0.78, 1.57) after adjusting for current cigarette smoking and cigarette pack years. ENDS use did not significantly increase the risk of self-reported incident COPD over a 5-year period once current smoking status and cigarette pack years were included. Cigarette pack years, by contrast, remained associated with a net increase in COPD incidence risk. These findings highlight the importance of using prospective longitudinal data and adequately controlling for cigarette smoking history to assess the independent health effects of ENDS. [ABSTRACT FROM AUTHOR]

Introduction: Diabetes mellitus incidence has more than doubled in the U.S. over the past 2 decades. Not all sectors of the population have experienced the increase proportionally. The goal of this study was to determine if disparities in diabetes by education and race/ethnicity have increased over time, and if there are differences by gender and birth cohort.Methods: Repeated cross-sectional data were used from the 1973-2012 National Health Interview Survey of adults aged 25-84 years. Logistic regression models were run and predicted probabilities were calculated to determine if disparities in self-reported diabetes by education and race/ethnicity changed over time, by gender and birth cohort (birth before 1946, 1946-1970, 1971 or after). Analyses were conducted in 2014-2015.Results: Relationships between education or race/ethnicity and diabetes were modified by time for people born before 1971, with stronger effect modification for women than men. Inequalities in diabetes prevalence grew over time, although the magnitude of disparities was smaller for the 1946-1970 cohort. For example, in 2005-2012, the gap in diabetes prevalence for women with the highest and lowest levels of education was 12.7% for pre-1946 versus 7.9% for 1946-1970. Similar trends were seen for differences between non-Hispanic whites and non-Hispanic blacks or Hispanics. Results were inconclusive for the youngest cohort.Conclusions: Diabetes disparities are evident. Smaller differences in later cohorts may indicate that large structural changes in society (e.g., Civil Rights movement, increased educational and economic opportunities) have benefited later generations. [ABSTRACT FROM AUTHOR]

The aim of this study was to examine the separate and combined relationships of neighborhood social norms and neighborhood social cohesion with smoking behavior in a cohort of adult Mexican smokers. Neighborhood anti-smoking norms were measured as the proportion of residents in each neighborhood who believed that society disapproves of smoking. Perceived social cohesion was measured using a 5-item cohesion scale and aggregated to the neighborhood level. Higher neighborhood anti-smoking norms were associated with less successful quitting. Neighborhood social cohesion modified the relationship between neighborhood social norms and two smoking behaviors: smoking intensity and quit attempts. Residents of neighborhoods with weaker anti-smoking norms and higher social cohesion had lower smoking intensity and more quit attempts than residents living in other areas. Social cohesion may help buffer smoking behavior in areas with weak social norms. [ABSTRACT FROM AUTHOR]

While migrants are widely believed to be positively selected on health, there has been very little empirical exploration of the actual health differential between migrants and non-migrants. This paper explored: 1) the extent of health selection by comparing US immigrants from 19 sending countries to their non-migrating counterparts still residing in the countries of origin; 2) country-level correlates of health selection; and 3) whether country-level health selection accounted for differences in self-rated health between immigrants and US-born Whites. We combined nationally-representative international data with data from US immigrants from the 2003–2007 Current Population Survey. The health selectivity measure was the Net Difference Index (NDI), which compares the distribution of self-rated health between migrants and non-migrants. We calculated Spearman correlation and bivariate regression coefficients between the NDI and economic, health, distance, and migration characteristics of the sending countries. We used generalized estimating equation models to examine the association between country-level health selection and immigrants' current self-rated health. We found immigrants from South America to show the most positive health selection. Health selection was significantly correlated with visa mode of entry, where family networks decrease, but work-related networks increase health selection. There was little evidence that country-level health selection explained differences in the self-rated health of US immigrants relative to US-born Whites. Our findings do not support the idea that country-level health selection underlies the “healthy immigrant effect”. [ABSTRACT FROM AUTHOR]

Purpose On the basis of a neighborhood deprivation index (NDI), this study aims to examine the association between neighborhood deprivation and preterm birth (PTB) by applying propensity score matching (PSM) methods. Methods NDI was calculated for all census tracts in South Carolina based on the US Census data. Live births in South Carolina during 2008 to 2009 ( n = 98,456) were assigned to an NDI quartile group based on residential addresses. PSM was used to create matched pairs by NDI quartiles to avoid any potential inference on imbalanced data. The differences of prevalence of PTB were calculated for exposed and reference deprivation groups. Results Neighborhood deprivation was higher among blacks than whites. The overall prevalence of PTB was 8.5% for whites and 12.6% for blacks. Living in neighborhoods with higher deprivation was associated with increased risk of PTB among blacks compared with living in neighborhoods with lower deprivation among blacks. However, random-effect regression models showed that the most deprived whites experienced 1.13 times the odds of having PTB than the least deprived whites. Conclusions The racial disparities in adverse birth outcomes might be partially explained by neighborhood deprivation in South Carolina. PSM may be an appropriate approach to avoid imbalanced data inferences. [ABSTRACT FROM AUTHOR]

In the U.S., low-income individuals generally smoke more than high-income individuals. However, detailed information about how smoking patterns differ by income, especially differences by birth cohort, is lacking. Using the National Health Interview Survey 1983–2018 data, individual family income was calculated as a ratio of the federal poverty level. Missing income data from 1983 to 1996 were imputed using sequential regression multivariate imputation. Age‒period‒cohort models with constrained natural splines were used to estimate annual probabilities of smoking initiation and cessation and smoking prevalence and intensity by gender and birth cohort (1900–2000) for 5 income groups: <100%, 100%–199%, 200%–299%, 300%–399%, and ≥400% of the federal poverty level. Analysis was conducted in 2020–2021. Across all income groups, smoking prevalence and initiation probabilities are decreasing by birth cohort, whereas cessation probabilities are increasing. However, relative differences between low- and high-income groups are increasing markedly, such that there were greater declines in prevalence among those in high-income groups in more recent cohorts. Smoking initiation probabilities are lowest in the ≥400% federal poverty level group for males across birth cohorts, whereas for females, this income group has the highest initiation probabilities in older cohorts but the lowest in recent cohorts. People living below the federal poverty level have the lowest cessation probabilities across cohorts. Smoking prevalence has been decreasing in all income groups; however, disparities in smoking by family income are widening in recent birth cohorts. Future studies evaluating smoking disparities should account for cohort differences. Intervention strategies should focus on reducing initiation and improving quit success among low-income groups. [ABSTRACT FROM AUTHOR]

Background: Migrant farmworkers are at risk for heat-related illness (HRI) at work. Purpose: The purpose of this study was to determine which risk factors could potentially reduce the prevalence of HRI symptoms among migrant farmworkers in Georgia. Methods: Trained interviewers conducted in-person interviews of adults who attended the South Georgia Farmworker Health Project clinics in June 2011. The analysis was conducted in 2011–2012. Population intervention models were used to assess where the greatest potential impact could be made to reduce the prevalence of HRI symptoms. Results: In total, 405 farmworkers participated. One third of participants had experienced three or more HRI symptoms in the preceding week. Migrant farmworkers faced barriers to preventing HRI at work, including lack of prevention training (77%) and no access to regular breaks (34%); shade (27%); or medical attention (26%). The models showed that the prevalence of three or more HRI symptoms (n=361, 34.3%) potentially could be reduced by increasing breaks in the shade (−9.2%); increasing access to medical attention (−7.3%); reducing soda intake (−6.7%); or increasing access to regular breaks (−6.0%). Conclusions: Migrant farmworkers experienced high levels of HRI symptoms and faced substantial barriers to preventing these symptoms. Although data are cross-sectional, results suggest that heat-related illness may be reduced through appropriate training of workers on HRI prevention, as well as regular breaks in shaded areas. [ABSTRACT FROM AUTHOR]

ENDS use is highly prevalent among U.S. youth, and there is concern about its respiratory health effects. However, evidence from nationally representative longitudinal data is limited. Using youth (aged 12–17 years) data from Waves 1–5 (2013–2019) of the Population Assessment of Tobacco and Health Study, multilevel Poisson regression models were estimated to examine the association between ENDS use; cigarettes; and diagnosed bronchitis, pneumonia, or chronic cough. Current product use was lagged by 1 wave and categorized as (1) never/noncurrent use, (2) exclusive cigarette use, (3) exclusive ENDS use, and (4) dual ENDS/cigarette use. Multivariable models adjusted for age, sex, race and ethnicity; parental education; asthma; BMI; cannabis use; secondhand smoke exposure; and household use of combustible products. Data analysis was conducted in 2022–2023. A total of 7.4% of respondents were diagnosed with bronchitis, pneumonia, or chronic cough at follow-up. In the multivariable model, exclusive cigarette use (incident rate ratio=1.85, 95% CI=1.29, 2.65), exclusive ENDS use (incident rate ratio=1.49, 95% CI=1.06, 2.08), and dual use (incident rate ratio=2.70, 95% CI=1.61, 3.50) were associated with a higher risk of diagnosed bronchitis, pneumonia, or chronic cough than never/noncurrent use. These results suggest that ENDS and cigarettes, used exclusively or jointly, increased the risk of diagnosed bronchitis, pneumonia, or chronic cough among U.S. youth. However, dual use was associated with the highest risk. Targeted policies aimed at continuing to reduce cigarette smoking and ENDS use among youth, especially among those with dual use, are needed. [ABSTRACT FROM AUTHOR]

To estimate the association between COVID-19 vaccination status at the time of COVID-19 onset and long COVID prevalence. We used data from the Michigan COVID-19 Recovery Surveillance Study, a population-based probability sample of adults with COVID-19 (n = 4695). We considered 30-day and 90-day long COVID (illness duration ≥30 or ≥90 days, respectively), using Poisson regression to estimate prevalence ratios (PRs) comparing vaccinated (completed an initial series ≥14 days before COVID-19 onset) to unvaccinated individuals (received 0 doses before COVID-19 onset), accounting for differences in age, sex, race and ethnicity, education, employment, health insurance, and rurality/urbanicity. The full unvaccinated comparison group was further divided into historic and concurrent comparison groups based on timing of COVID-19 onset relative to vaccine availability. We used inverse probability of treatment weights to account for sociodemographic differences between groups. Compared to the full unvaccinated comparison group, the adjusted prevalence of 30-day and 90-day long COVID were lower among vaccinated individuals [PR 30-day = 0.57(95%CI:0.49,0.66); PR 90-day = 0.42(95%CI:0.34,0.53)]. Estimates were consistent across comparison groups (full, historic, and concurrent). Long COVID prevalence was 40–60% lower among adults vaccinated (vs. unvaccinated) prior to their COVID-19 onset. COVID-19 vaccination may be an important tool to reduce the burden of long COVID. Post-acute COVID-19 syndrome; COVID-19; COVID-19 vaccines; Population-based CDC, Centers for Disease Control and Prevention; CI, Confidence interval; COPD, Chronic obstructive pulmonary disease; COVID-19, Coronavirus disease 2019; CVD, Cardiovascular disease; EHR, Electronic health record; IPTW, Inverse probability of treatment weight; MDSS, Michigan Disease Surveillance System; MI CReSS, Michigan COVID-19 Recovery Surveillance Study; mRNA, Messenger ribonucleic acid; NH, Non-Hispanic; PCR, Polymerase chain reaction; PR, Prevalence ratio; US, United States; WHO, World Health Organization. [ABSTRACT FROM AUTHOR]

• Factors enabling migration, rather than migration itself, influence child vaccination. • The migration stream did not differentially influence child vaccination. • Multiply imputed estimates of vaccination allowed inclusion of children without cards. • Up-to-date vaccination was lower when children without cards were included. Kenya has substantially improved child mortality between 1990 and 2019, with under-5 mortality decreasing from 104 to 43 deaths per 1000 live births. However, only two-thirds of Kenyan children receive all recommended vaccines by 1 year, making it essential to identify undervaccinated subpopulations. Internal migrants are a potentially vulnerable group at risk of decreased access to healthcare. This analysis explored how maternal migration within Kenya influences childhood vaccination. Data were from the 2014 Kenya Demographic and Health Survey, a nationally representative cross-sectional survey. Logistic regressions assessed relationships between maternal migration and full and up-to-date child vaccination using inverse probability of treatment weighting. Two exposure variables were examined: migration status and stream (e.g. rural-urban). Multiple imputation was used to impute up-to-date status for children without vaccination cards to reduce selection bias. After accounting for selection and confounding biases, all relationships between migration status and migration stream and full and up-to-date vaccination became statistically insignificant. Null findings indicate that, in Kenya, characteristics enabling migration, rather than the process of migration itself, drive differential vaccination behavior between migrants and non-migrants. This finding is an important deviation from previous literature, which did not rigorously address important biases. [ABSTRACT FROM AUTHOR]

The Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Working Group age-period-cohort methodology to study smoking patterns can be applied to tackle important issues in tobacco control and public health. This paper summarizes the analyses of smoking patterns in the U.S. by race/ethnicity, educational attainment, and family income and for each of the 50 U.S. states using the CISNET Lung Working Group age-period-cohort approach. We describe how decision makers, policy advocates, and researchers can use the sociodemographic analyses in this supplement to project state smoking trends and develop effective state-level tobacco control strategies. The all-cause mortality RR estimates associated with smoking for U.S. race/ethnicity and education groups are also discussed in the context of research that measures and evaluates health disparities. Finally, the application of the CISNET Lung Working Group age-period-cohort methodology to Brazil is reviewed with a view to how the same types of analyses can be applied to other low- and middle-income countries. [ABSTRACT FROM AUTHOR]

U.S. smoking prevalence varies greatly by race/ethnicity. However, little is known about how smoking initiation, cessation, and intensity vary by birth cohort and race/ethnicity. Adult smoking data were obtained from the 1978–2018 National Health Interview Surveys. Age‒period‒cohort models with constrained natural splines were developed to estimate historical smoking patterns among non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian and Pacific Islander, and non-Hispanic American Indian and Alaskan Native individuals. Annual smoking prevalence and probabilities of smoking initiation, cessation, and intensity by age, year, gender, and race/ethnicity were estimated for the 1900 to 2000 birth cohorts. Analysis was conducted in 2020–2021. Smoking initiation probabilities were highest for the American Indian and Alaskan Native population, second highest among the non-Hispanic White population, and lowest among Asian and Pacific Islander and Hispanic populations across birth cohorts. Historically, initiation probabilities among non-Hispanic Black populations were comparable with those among non-Hispanic White populations but have decreased since the 1970 birth cohort. Cessation probabilities were lowest among American Indian and Alaskan Native and non-Hispanic Black populations and highest among non-Hispanic White and Asian and Pacific Islander populations across cohorts and ages. Initiation and cessation probabilities produce observed patterns of smoking where prevalence among American Indian and Alaskan Native populations is highest across all ages and cohorts. Across cohorts, smoking prevalence among non-Hispanic Black populations, particularly males, is lower than among non-Hispanic White populations at younger ages but higher at older ages. There are important and persistent racial/ethnic differences in smoking prevalence, initiation, cessation, and intensity across U.S. birth cohorts. Targeted interventions should address widening smoking disparities by race/ethnicity, particularly for American Indian and Alaskan Native and non-Hispanic Black populations. [ABSTRACT FROM AUTHOR]

Smoking rates across U.S. states have declined at different rates over time because some states have progressive tobacco control policies, whereas others have yet to adopt them. Therefore, each state has its own unique historical experience of smoking initiation, cessation, and prevalence. This study characterizes smoking histories for each U.S. state by birth cohort. Using 1965–2018 National Health Interview Survey and 1992–2019 Tobacco Use Supplement to the Current Population Survey data, statistical methods applied an age‒period‒cohort modeling framework to reconstruct population-level smoking histories for each state. Smoking initiation, cessation, and intensity by age, gender, and cohort were estimated for each state. These were used to construct state-specific trends in the prevalence of current, former, and never smoking as well as the mean smoking duration and pack years. Analysis was conducted from 2017 to 2022. California and Kentucky, respectively, are exemplar states of more and less aggressive tobacco control. Initiation probabilities were consistently lower in California than in Kentucky, and cessation probabilities were higher. Hence, the smoking prevalence derived from these parameters is higher in Kentucky. The intensity of cigarette smoking was higher in Kentucky than in California, yielding considerably higher estimated pack years when used with the other parameters. Summaries of smoking trends are given for all states. Smoking initiation, cessation, and intensity trends vary substantially across states, resulting in major differences in estimated smoking prevalence, duration, and pack years. Some states show improvements in smoking metrics over time with more recent birth cohorts, but others have shown very little. [ABSTRACT FROM AUTHOR]

Little is known about how U.S. smoking patterns of initiation, cessation, and intensity vary by birth cohort across education levels or how these patterns may be driven by other demographic characteristics. Smoking data for adults aged ≥25 years was obtained from the National Health Interview Surveys 1966–2018. Age-period-cohort models were developed to estimate the probabilities of smoking initiation, cessation, intensity, and prevalence by age, cohort, calendar year, and gender for education levels: ≤8th grade, 9th–11th grade, high school graduate or GED, some college, and college degree or above. Further analyses were conducted to identify the demographic factors (race/ethnicity and birthplace) that may explain the smoking patterns by education. Analyses were conducted in 2020–2021. Smoking disparities by education have increased by birth cohort. In recent cohorts, initiation probabilities were highest among individuals with 9th–11th-grade education and lowest among individuals with at least a college degree. Cessation probabilities were higher among those with higher education. Current smoking prevalence decreased over time across all education groups, with important differences by gender. However, it decreased more rapidly among individuals with ≤8th grade education, resulting in this group having the second lowest prevalence in recent cohorts. This may be driven by the increasing proportion of non-U.S. born Hispanics in this group. Although smoking is decreasing by cohort across all education groups, disparities in smoking behaviors by education have widened in recent cohorts. Demographic changes for the ≤8th-grade education group need special consideration in analyses of tobacco use by education. [ABSTRACT FROM AUTHOR]

Introduction: A better understanding of how menthol cigarette flavoring and ENDS impact smoking initiation, cessation, and transitions between tobacco products could help elucidate the potential impact of a U.S. menthol ban on combustible tobacco products.Methods: A multistate transition model was applied to data on 23,232 adults from Waves 1-4 (2013-2017) of the Population Assessment of Tobacco and Health Study (analysis was conducted in 2020-2021). Transition rates among never, noncurrent, nonmenthol versus menthol cigarette, ENDS, and dual everyday/someday use were estimated, as were transition-specific hazard ratios for age, sex, race/ethnicity, education, and income.Results: Non-Hispanic Blacks who smoked menthol discontinued smoking at a much lower rate than those who smoked nonmenthol (hazard ratio=0.43, 95% CI=0.29, 0.64), but there was no statistically significant difference in the discontinuation rates among non-Hispanic Whites (hazard ratio=0.97, 95% CI=0.80, 1.16) or Hispanics (hazard ratio=0.81, 95% CI=0.56, 1.16). Non-Hispanic Whites who smoked menthol were more likely to become dual users than those who smoked nonmenthol (hazard ratio=1.43, 95% CI=1.14, 1.80). Young adults initiated menthol smoking at a higher rate than older adults (age 18-24 years versus ≥55 years: hazard ratio=2.45, 95% CI=1.44, 4.15) but not nonmenthol smoking (hazard ratio=1.02, 95% CI=0.62, 1.69). There were differences by sex in the impact of menthol flavor on smoking initiation and discontinuation but little difference by education or income.Conclusions: Sociodemographic differences in product transitions should be accounted for when estimating the potential impact of a menthol ban. [ABSTRACT FROM AUTHOR]

• Extensive delays were observed; one-third of children received at least 1 dose late. • Maternal migration does not appear to influence childhood vaccination timeliness. • Characteristics of the migration experience similarly do not influence timeliness. • Propensity score weighting addressed confounding common in migration research. • Methods using left-censoring allowed inclusion of children without vaccination cards. Timely receipt of recommended vaccines is a proven strategy to reduce preventable under-five deaths. Kenya has experienced impressive declines in child mortality from 111 to 43 deaths per 1000 live births between 1980 and 2019. However, considerable inequities in timely vaccination remain, which unnecessarily increases risk for serious illness and death. Maternal migration is a potentially important driver of timeliness inequities, as the social and financial stressors of moving to a new community may require a woman to delay her child's immunizations. This analysis examined how maternal migration to informal urban settlements in Nairobi, Kenya influenced childhood vaccination timeliness. Data came from the Nairobi Urban Health and Demographic Surveillance System, 2002–2018. Migration exposures were migrant status (migrant, non-migrant), migrant origin (rural, urban), and migrant type (first-time, circular [previously resided in settlement]). Age at vaccine receipt (vaccination timeliness) was calculated for all basic vaccinations. Accelerated failure time models were used to investigate relationships between migration exposures and vaccination timeliness. Confounding was addressed using propensity score weighting. Over one-third of the children of both migrants and non-migrants received at least one dose late or not at all. Unweighted models showed the children of migrants had shorter time to OPV1 and DPT1 vaccine receipt compared to the children of non-migrants. After accounting for confounding only differences in timeliness for DPT1 remained, with the children of migrants receiving DPT1 significantly earlier than the children of non-migrants. Timeliness was comparable among migrants with rural and urban origins and among first-time and circular migrants. Although a substantial proportion of children in Nairobi's informal urban settlements do not receive timely vaccination, this analysis found limited evidence that maternal migration and migration characteristics were associated with delays for most doses. Future research should seek to elucidate potential drivers of low vaccination timeliness in Kenya. [ABSTRACT FROM AUTHOR]

Introduction: This study examines whether smoke-free laws are differentially associated with youth smoking outcomes by parental education, race/ethnicity, sex, and college plans in a U.S.Sample: Methods: This study assessed the relationships between smoke-free laws in workplaces and hospitality venues (restaurants/bars) and past 30-day smoking participation, first cigarette initiation, and daily smoking initiation within a repeated cross-sectional sample of 8th, 10th, and 12th graders from the Monitoring the Future study. Data were collected between 2001 and 2018 and were analyzed in 2020-2021. Grade-stratified Poisson models were used to calculate prevalence ratios and average marginal effects, incorporating interaction terms to examine differential associations across groups.Results: Hospitality smoke-free laws were significantly associated with lower probabilities of smoking participation in all grades as well as with first cigarette and daily smoking initiation in 8th and 10th grade. Workplace smoke-free laws were associated with lower probabilities of smoking participation among 10th and 12th graders as well as with first cigarette and daily smoking initiation among 10th graders. Average marginal effects ranged from -0.4 percentage points (hospitality laws and daily smoking initiation in 8th and 10th grades) to -2.2 percentage points (workplace laws and smoking participation in 10th grade). Associations between smoke-free laws and a lower probability of smoking participation were most pronounced among students who definitely planned to attend college. Other instances of effect modification suggested more pronounced associations for students who were female and from high-SES households; however, relationships varied by grade.Conclusions: Smoke-free laws were associated with reduced smoking among youth; however, associations varied by grade, sex, parental education, and college plans. [ABSTRACT FROM AUTHOR]

Abstract: Objective: Examine the associations between selected built environment (BE) attributes and perceived active park use among older adults in Bogota. Methods: A cross-sectional multilevel study was conducted. Participants included 1966 older adults in 50 neighborhoods. Socio-demographic covariates and BE attributes were measured. Multilevel logistic regression models were used for the analyses. Results: Residents from areas with higher park density and high land-use mix were more likely to report active park use while those from areas with high connectivity were less likely. Conclusions: This study suggests that objective attributes of the residential BE are associated with perceived active park use. However, our study also points to the importance of surrounding environment, with the result of an inverse relationship between connectivity and physical activity, which highlights the potentially necessary interventions in the realm of traffic and pedestrian safety. [ABSTRACT FROM AUTHOR]

Introduction: The goal of the paper is to characterize the geographic and sociodemographic patterns of policies prohibiting tobacco sales to people aged <21 years (i.e., Tobacco 21) at the local, county, and state levels in the U.S. before the national law.Methods: This study assessed area-level markers for region, race/ethnicity, education, poverty status, and smoke-free law coverage as predictors of Tobacco 21 passage as of December 20, 2019, using modified Poisson and negative binomial regression models with robust SEs. Data were analyzed in 2020.Results: Before the passage of the national policy, 191 million people were covered by Tobacco 21 laws. Counties with higher percentages of non-Hispanic Blacks and individuals living below the poverty line had a lower probability of coverage, whereas counties with higher percentages of Hispanics/Latinxs and individuals with a college degree had a higher probability of coverage. Tobacco 21 coverage also varied by region, with far greater coverage in the Northeast than in the Midwest and South.Conclusions: The national Tobacco 21 law may address disparities in coverage by SES, race/ethnicity, and region that could have lasting implications with regard to health equity. [ABSTRACT FROM AUTHOR]

Introduction: This study sought to empirically evaluate whether the Medicaid expansion under the Affordable Care Act increased smoking cessation among low-income childless adult smokers.Methods: The effects of the Medicaid expansion on smoking quit attempts and the probability of 30- and 90-day smoking cessation were evaluated using logistic regression and data from the 2010-2011 and 2014-2015 waves of the Tobacco Use Supplement to the Current Population Survey. Using boosted logistic regression, the Tobacco Use Supplement was restricted to an analytic sample composed of childless adults with high probability of being <138% of the federal poverty level. Propensity score weighting was used to compare changes in smoking cessation among a sample of current and past smokers in states that expanded Medicaid with a control sample of current and past smokers in states that did not expand Medicaid with similar sociodemographic characteristics and smoking histories. This study additionally controlled for state socioeconomic trends, welfare policies, and tobacco control policies. Analysis was conducted between January 2018 and June 2019.Results: After weighting by propensity score and adjusting for state socioeconomic trends, welfare policies, and tobacco control policies, the Medicaid expansion was not associated with increases in smoking quit attempts or smoking cessation.Conclusions: The Medicaid expansion did not appear to improve smoking cessation, despite extending health insurance eligibility to 2.3 million low-income smokers. Greater commitments to reducing barriers to cessation benefits and increasing smoking cessation in state Medicaid programs are needed to reduce smoking in low-income populations. [ABSTRACT FROM AUTHOR]

Racial/ethnic discrimination (hereafter, discrimination) is associated with use of individual tobacco and cannabis products. However, we know little about how discrimination affects dual/polytobacco and cannabis use and associated use disorders. We used cross-sectional data on adults (18+) from the 2012–2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 35,744). We defined past-year discrimination as a summary scale (range: 0–24) based on six scenarios. We created a mutually exclusive six-category use variable: noncurrent, individual tobacco and noncannabis, individual tobacco and cannabis, individual cannabis and nontobacco, dual/polytobacco and noncannabis, and dual/polytobacco and cannabis based on past 30-day tobacco use of four products (i.e., cigarettes, electronic nicotine delivery systems, other combustibles (cigars, pipe), smokeless tobacco) and cannabis use. We also examined past-year tobacco use disorder (TUD) and cannabis use disorder (CUD) as a four-level variable: no disorders, TUD only, CUD only, and TUD and CUD. We estimated associations between discrimination and each outcome using adjusted multinomial logistic regression and assessed effect modification by stratifying adjusted models by race/ethnicity (i.e., Hispanic, non-Hispanic (NH) White, NH Black, and another race/ethnicity). Experiencing more discrimination was associated with each outcome but was most strongly associated with dual/polytobacco and cannabis use (OR: 1.13, 95 % CI: 1.07–1.19) and joint TUD and CUD (OR: 1.16, 95 % CI: 1.12–1.20). Models stratified by race/ethnicity showed that discrimination was associated with dual/polytobacco and cannabis only among NH White adults, and with joint TUD and CUD only among NH Black and NH White adults. Discrimination was associated with tobacco and cannabis use outcomes among multiple adult racial/ethnic populations, but associations were more profound for NH White and NH Black adults than adults from other racial/ethnic populations. • Experiencing more discrimination was linked to dual/polytobacco and cannabis use. • Discrimination was also associated with joint tobacco and cannabis use disorders. • For each race/ethnicity, discrimination was linked to at least one use outcome. • Associations with more severe outcomes were stronger for White and Black adults. [ABSTRACT FROM AUTHOR]

Introduction: Waterpipe tobacco smoking is prevalent among college students in the U.S. and increasing in popularity. Waterpipe smoking establishments are almost completely unregulated, and limited information exists documenting the expansion of this industry. The objective of this study was to identify U.S.-based waterpipe establishments and measure their proximity to colleges/universities.Methods: Waterpipe establishments and their addresses were compiled using five Internet-based directories during 2014 and analyzed in 2015. Addresses were geocoded and overlaid on a U.S. map of accredited colleges/universities. Proximity of colleges/universities to the nearest waterpipe establishment was measured in 3-mile increments. Multinomial logistic regression was used to model the factors associated with proximity of waterpipe establishments to colleges/universities.Results: A total of 1,690 waterpipe establishments and 1,454 colleges/universities were included in the study. Overall, 554 colleges/universities (38.1%) were within 3 miles of a waterpipe establishment. Proximity of waterpipe establishments to colleges/universities was associated with higher full-time student enrollment. Public colleges/universities and those with a smoke-free campus policy were at lower odds of having waterpipe establishments within 3 miles of their campuses.Conclusions: Waterpipe smoking establishments are more likely to be located near large colleges/universities. This study should inform initiatives aimed at reducing retail tobacco establishment exemptions. [ABSTRACT FROM AUTHOR]