Psychological Health and Smoking in Young Adulthood

Introduction: Young adulthood is a critical time for the emergence of risk behaviors including smoking. Psychological health is associated with smoking, but studies rarely track both over time. We used longitudinal data to assess whether average patterns of psychological health influenced average patterns of smoking and whether short-term fluctuations in psychological health influenced fluctuations in smoking. Method: Young adults aged 18–30 from the Panel Study of Income Dynamics were followed from 2007 to 2013, and mean trajectories of smoking were modeled. Psychological health variables included ever having a mental health diagnosis and time-varying distress. Results: In regression models, individuals with poorer psychological health (higher distress or a diagnosis) were more likely to be smokers and to smoke greater number of cigarettes. The association of diagnosis with number of cigarettes smoked increased with age. Conclusions: Smoking-related interventions should target individuals with poorer psychological health, even if they have no formal mental health diagnosis

Sociodemographic Disparities in Tobacco Retailer Density in the United States, 2000-2017

Introduction: Studies find differences in tobacco retailer density according to neighborhood sociodemographic characteristics, raising issues of social justice, but not all research is consistent. Aims and Methods: This study examined associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints (2000, 2007, 2012, and 2017) and investigated if associations remained stable over time. Data on tobacco retailers came from the National Establishment Time-Series Database. Adjusted log-linear models examined the relationship between retailer density and census tract sociodemographic characteristics (% non-Hispanic Black [Black], % Hispanic, % vacant housing units, median household income), controlling for percentage of youth, urbanicity, and US region. To examine whether the relationship between density and sociodemographic characteristics changed over time, additional models were estimated with interaction terms between each sociodemographic characteristic and year. Results: Tobacco retailer density ranged from 1.22 to 1.44 retailers/1000 persons from 2000 to 2017. There were significant, positive relationships between tobacco retailer density and the percentage of Black (standardized exp(b) = 1.05 [95% CI: 1.04% to 1.07%]) and Hispanic (standardized exp(b) = 1.06 [95% CI: 1.05% to 1.08%]) residents and the percentage of vacant housing units (standardized exp(b) =1.08 [95% CI: 1.07% to 1.10%]) in a census tract. Retailer density was negatively associated with income (standardized exp(b) = 0.84 [95% CI: 0.82% to 0.86%]). From 2000 to 2017, the relationship between retailer density and income and vacant housing units became weaker. Conclusions: Despite the weakening of some associations, there are sociodemographic disparities in tobacco retailer density from 2000 to 2017, which research has shown may contribute to inequities in smoking. Implications: This study examines associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints from 2000 to 2017. Although some associations weakened, there are sociodemographic disparities in tobacco retailer density over the study period. Research suggests that sociodemographic disparities in retailer density may contribute to inequities in smoking. Findings from this study may help identify which communities should be prioritized for policy intervention and regulation

Urban-rural differences in tobacco product availability in food retailers, United States, 2017

Purpose: Tobacco use prevalence is higher in rural compared to urban settings, possibly due to differences in tobacco availability, including the option to purchase food and other essential items in stores that do not sell tobacco (tobacco-free food retailers). The goal of this research is to determine whether tobacco-free food retailer availability varies by urbanicity/rurality. Methods: Using the 2017 National Establishment Time-Series database, we identified food retailers across all census tracts containing food retailers in the United States (n = 66,053). We used multivariable logistic and linear regression models to test whether tobacco-free food retailer availability varied across 4-levels of census tract urbanicity/rurality (urban, suburban, large town, and small town/rural) for 2 outcomes: (1) the presence of at least 1 tobacco-free food retailer and (2) the percent of all food retailers that were tobacco-free. Findings: Compared to urban core census tracts, suburban census tracts had a lower odds (aOR = 0.77, 95% CI = 0.73, 0.81) of having at least 1 tobacco-free food retailer, while small town/rural census tracts had greater odds (aOR = 1.23, 95% CI = 1.15, 1.32). Suburban census tracts (B = –2.29, P <.001) and large town census tracts (B = –1.90, P <.001) also had a lower percentage of tobacco-free food retailers compared to urban census tracts. Conclusions: Compared to urban cores, tobacco-free food retailers were less prevalent in suburban and large town areas, though similarly or slightly more available in rural areas. Future research should assess whether these differences depend on varying store types

Associations of County Tobacco Retailer Availability With U.S. Adult Smoking Behaviors, 2014–2015

Introduction: Greater availability of tobacco product retailers in an area may be associated with smoking behaviors, and the majority of people who smoke purchase their cigarettes at gas stations and convenience stores. This cross-sectional study investigates the associations of overall tobacco retailer density and gas/convenience density with adult smoking behaviors. Methods: This study built a list of tobacco retailers in 2014 and calculated the county-level number of retailers per 1,000 people. Individual-level smoking behavior data were drawn from the 2014–2015 Tobacco Use Supplement for a sample of adults (n=88,850) residing in metropolitan counties across the U.S. General estimating equation models were fit to investigate the associations between retailer density and cigarette smoking behaviors (smoking status, quit attempt, quit length). Analyses were conducted in 2020. Results: A greater number of tobacco retailers (AOR=1.63, 95% CI=1.35, 1.96) and gas stations and convenience stores (AOR=3.29, 95% CI=2.39, 4.52) per 1,000 people were each associated with a higher odds of a respondent smoking every day than the odds of a respondent not smoking. In addition, both measures were associated with a higher odds of a respondent being an every-day than being a some-day smoker. Associations for gas/convenience density were similar in models that additionally controlled for other tobacco retailers (excluding gas/convenience). Study results did not support associations between retailer density and cessation. Conclusions: Tobacco retailer density, especially gas/convenience density, is correlated with daily smoking, the most harmful tobacco use behavior. Calculating tobacco retailer density using gas/convenience stores may be a feasible proxy for overall tobacco retailer density

Associations of tobacco retailer availability with chronic obstructive pulmonary disease related hospital outcomes, United States, 2014

There are associations between tobacco retailer density and smoking behaviors, but little is known about whether places with more tobacco retailers have more smoking-related health problems. Using cross-sectional data from 2014, we investigated the relationships between tobacco retailer density and chronic obstructive pulmonary disease (COPD) related outcomes in a sample of 1510 counties across the United States. Higher retailer density was associated with a 19% (IRR, 1.19; 95% CI, 1.12–1.27) higher COPD-related hospital discharge rate and 30% (IRR, 1.30; 95% CI 1.21–1.39) higher total COPD-related hospital costs per population. The tobacco retailer environment may be an important target for reducing smoking-related health burdens and costs

Sociodemographic inequities in tobacco retailer density: Do neighboring places matter?

We apply a spatial perspective to measure the extent to which the 2018 U.S. racial, ethnic, and socioeconomic composition of census tracts were each associated with tobacco retailer density within a tract and in its neighboring tracts (n = 71,409). A 10-percentage point increase in the Black population was associated with 0.07 (p < 0.05) more retailers per square mile within a focal tract and 0.35 (p < 0.001) more retailers per square mile in its neighbors on average. A greater percent of Hispanic/Latino residents was associated with more retailers per square mile, both within a focal tract (b = 0.95, p < 0.001) and in its neighbors 0.39 (p < 0.001). Inverse associations were observed for percent white. We also observed inequities by socioeconomic status. The overall magnitude of inequities may be underestimated if the spatial dependence between focal tracts and their neighbors are not taken into consideration. Policymakers should prioritize interconnected geographic areas experiencing high racialized and socioeconomic segregation when designing and implementing policies to reduce retail tobacco product availability

Neighborhood Inequities in Tobacco Retailer Density and the Presence of Tobacco-Selling Pharmacies and Tobacco Shops

Studies document inequitable tobacco retailer density by neighborhood sociodemographics, but these findings may not be robust to different density measures. Policies to reduce density may be less equitable depending on how the presence of store types differs by neighborhood characteristics. We built a 2018 list of probable tobacco retailers in the United States and calculated four measures of density for all census tracts (N = 71,495), including total count, and number of retailers per 1,000 people, square mile, and kilometers of roadway. We fit multivariable regression models testing associations between each density measure and tract-level sociodemographics. We fit logistic regression models testing associations between sociodemographics and the presence of a tobacco-selling pharmacy or tobacco shop. Across all measures, tracts with a greater percentage of residents living below 150% of the federal poverty level (FPL) had higher density. A higher percentage of Black residents, Hispanic or Latino residents, and vacant housing was inconsistently associated with density across measures. Neighborhoods with a greater percentage of Black residents had a lower odds of having a pharmacy (adjusted odds ratio [aOR] = 0.96, 95% confidence interval [CI; 0.95, 0.97]) and tobacco shop (aOR = 0.87, CI [0.86, 0.89]), while those with a greater percentage of residents living below 150% FPL had greater odds of having a tobacco shop (aOR = 1.18, CI [1.16, 1.20]). Researchers and policymakers should consider how various measures of retailer density may capture different aspects of the environment. Furthermore, there may be an inequitable impact of retailer-specific policies on tobacco availability

Health Warnings on Sugar-Sweetened Beverages: Simulation of Impacts on Diet and Obesity Among U.S. Adults

Introduction: Overconsumption of sugar-sweetened beverage (SSB) is a significant contributor to obesity. Policymakers have proposed requiring health warnings on SSBs to reduce SSB consumption. Randomized trials indicate that SSB warnings reduce SSB purchases, but uncertainty remains about how warnings affect population-level dietary and health outcomes. Methods: This study developed a stochastic microsimulation model of dietary behaviors and body weight using the 2005–2014 National Health and Nutrition Examination Surveys, research on SSB health warnings, and a validated model of weight change. In 2019, the model simulated a national SSB health warning policy's impact on SSB intake, total energy intake, BMI, and obesity among U.S. adults over 5 years. Sensitivity analyses varied assumptions about: (1) how warning efficacy changes over time, (2) the magnitude of warnings’ impact on SSB intake, and (3) caloric compensation. Results: A national SSB health warning policy would reduce average SSB intake by 25.3 calories/day (95% uncertainty interval [UI]= −27.0, −23.6) and total energy intake by 31.2 calories/day (95% UI= −32.2, −30.1). These dietary changes would reduce average BMI by 0.64 kg/m2 (95% UI= −0.67, −0.62) and obesity prevalence by 3.1 percentage points (95% UI= −3.3%, −2.8%). Obesity reductions persisted when assuming warning efficacy wanes over time and when using conservative estimates of warning impact and caloric compensation. Benefits were larger for black and Hispanic adults than for white adults, and for adults with lower SES than for those with higher SES. Conclusions: A national SSB health warning policy could reduce adults’ SSB consumption and obesity prevalence. Warnings could also narrow sociodemographic disparities in these outcomes

Sugar-Sweetened Beverage Health Warnings and Purchases: A Randomized Controlled Trial

Introduction: Five U.S. states have proposed policies to require health warnings on sugar-sweetened beverages, but warnings’ effects on actual purchase behavior remain uncertain. This study evaluated the impact of sugar-sweetened beverage health warnings on sugar-sweetened beverage purchases. Study design: Participants completed one study visit to a life-sized replica of a convenience store in North Carolina. Participants chose six items (two beverages, two foods, and two household products). One item was randomly selected for them to purchase and take home. Participants also completed a questionnaire. Researchers collected data in 2018 and conducted analyses in 2019. Setting/participants: Participants were a demographically diverse convenience sample of 400 adult sugar-sweetened beverage consumers (usual consumption ≥12 ounces/week). Intervention: Research staff randomly assigned participants to a health warning arm (sugar-sweetened beverages in the store displayed a front-of-package health warning) or a control arm (sugar-sweetened beverages displayed a control label). Main outcome measures: The primary trial outcome was sugar-sweetened beverage calories purchased. Secondary outcomes included reactions to trial labels (e.g., negative emotions) and sugar-sweetened beverage perceptions and attitudes (e.g., healthfulness). Results: All 400 participants completed the trial and were included in analyses. Health warning arm participants were less likely to be Hispanic and to have overweight/obesity than control arm participants. In intent-to-treat analyses adjusting for Hispanic ethnicity and overweight/obesity, health warnings led to lower sugar-sweetened beverage purchases (adjusted difference, −31.4 calories; 95% CI= −57.9, −5.0). Unadjusted analyses yielded similar results (difference, −32.9 calories; 95% CI= −58.9, −7.0). Compared with the control label, sugar-sweetened beverage health warnings also led to higher intentions to limit sugar-sweetened beverage consumption and elicited more attention, negative emotions, thinking about the harms of sugar-sweetened beverage consumption, and anticipated social interactions. Trial arms did not differ on perceptions of sugar-sweetened beverages’ added sugar content, healthfulness, appeal/coolness, or disease risk. Conclusions: Brief exposure to health warnings reduced sugar-sweetened beverage purchases in this naturalistic RCT. Sugar-sweetened beverage health warning policies could discourage sugar-sweetened beverage consumption. Trial registration: This study is registered at www.clinicaltrials.gov NCT03511937

County-level associations between tobacco retailer density and smoking prevalence in the USA, 2012

We examine whether county-level tobacco retailer density and adult smoking prevalence are positively associated in the United States and determine whether associations differ in metropolitan vs. nonmetropolitan counties. We merged a list of likely tobacco retailers from the 2012 National Establishment Time-Series with smoking prevalence data from the Behavioral Risk Factor Surveillance System for 2828 US counties, as well as state tobacco policy information and county-level demographic data for the same year. We modeled adult smoking prevalence as a function of tobacco retailer density, accounting for clustering of counties within states. Average density in US counties was 1.25 retailers per 1000 people (range = 0.3–4.5). Smoking prevalence was 0.86 percentage points higher in the most retailer-dense counties, compared to the least. This association, however, was only significant for metropolitan counties. Metropolitan counties in the highest tobacco retailer density quartile had smoking prevalence levels that were 1.9 percentage points higher than metropolitan counties in the lowest density quartile. Research should examine whether policies limiting the quantity, type and location of tobacco retailers could reduce smoking prevalence