Are state-level income-based disparities in adult smoking declining?

Using systems science to advance health equity in tobacco control: a causal loop diagram of smoking

OBJECTIVES

Develop and use a causal loop diagram (CLD) of smoking among racial/ethnic minority and lower-income groups to anticipate the intended and unintended effects of tobacco control policies.

METHODS

We developed a CLD to elucidate connections between individual, environmental and structural causes of racial/ethnic and socioeconomic disparities in smoking. The CLD was informed by a review of conceptual and empirical models of smoking, fundamental cause and social stress theories and 19 qualitative interviews with tobacco control stakeholders. The CLD was then used to examine the potential impacts of three tobacco control policies.

RESULTS

The CLD includes 24 constructs encompassing individual (eg, risk perceptions), environmental (eg, marketing) and structural (eg, systemic racism) factors associated with smoking. Evaluations of tobacco control policies using the CLD identified potential unintended consequences that may maintain smoking disparities. For example, the intent of a smoke-free policy for public housing is to reduce smoking among residents. Our CLD suggests that the policy may reduce smoking among residents by reducing smoking among family/friends, which subsequently reduces pro-smoking norms and perceptions of tobacco use as low risk. On the other hand, some residents who smoke may violate the policy. Policy violations may result in financial strain and/or housing instability, which increases stress and reduces feelings of control, thus having the unintended consequence of increasing smoking.

CONCLUSIONS

The CLD may be used to support stakeholder engagement in action planning and to identify non-traditional partners and approaches for tobacco control.

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.

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.

Treating tobacco dependence to aid re-employment among job-seekers: A randomized controlled trial

INTRODUCTION

U.S. reductions in smoking have not been experienced equally. Smoking prevalence is greater among persons of lower education, lower income, and unemployed. We evaluated whether a cessation intervention for job-seekers would result in significantly fewer cigarettes smoked per day and a greater likelihood of tobacco abstinence and re-employment, compared to the control condition at 6-months follow-up.

METHODS

Unemployed, job-seekers who smoked daily were recruited from five employment development departments in the San Francisco Bay Area, October 2015 to February 2018. Intention to quit smoking was not required. Participants were randomized to a brief motivationally-tailored, computer-assisted counseling intervention or referred to a toll-free quitline. Midstudy, 8-weeks of combination nicotine replacement was added to the intervention. Expired carbon monoxide and cotinine testing verified abstinence. Data were analyzed fall 2019.

RESULTS

Participants (N = 360; 70% men; 43% African American, 27% non-Hispanic Caucasian; 19% unhoused) averaged 12 cigarettes/day (SD = 6), 67% smoked within 30 min of wakening; 27% were in preparation stage to quit. During the 6-month study period, intervention participants were more likely to make a quit attempt (71% vs. 58%, p = .021) and reported significantly greater reduction in cigarettes/day than control participants (median reduction: 6.9 vs. 5.0, p = .038); however, bioconfirmed abstinence (3%) and re-employment (36%) did not differ by treatment group.

CONCLUSIONS

In a diverse sample with economic hardships, quit attempts and smoking reduction were greater in the intervention group; however, few achieved abstinence, and neither abstinence nor re-employment differed by condition. A priority group, further research is needed on smoking and re-employment.