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Exposure to New Smoking Environments and Individual-level Cigarette Smoking Behavior: Insights from Exogenous Assignment of Military Personnel

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Journal Soc Sci Med
Date 2021 May 21
PMID 34020313
Citations 5
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Abstract

Despite overall declines in cigarette smoking prevalence in the United States (U.S.) in the past several decades, smoking rates remain highly variable across geographic areas. Past work suggests that smoking norms and exposure to other smokers in one's social environment may correlate with smoking risk and cessation, but little is known about how exposure to other smokers in one's community is causally linked to smoking behavior - in part due to endogeneity and inability to randomly assign individuals to different 'smoking environments.' The goal of this study was to evaluate how exposure to localities with high population-level smoking prevalence affects individual-level cigarette smoking behaviors, including quitting. The study addresses key limitations in the literature by leveraging a unique natural experiment: the plausibly exogenous compulsory assignment of military personnel to installations. Logistic and multivariate regressions estimated cross-sectional associations between smoking/quitting behaviors and our proxy for social environments for smoking, county-level smoking prevalence (CSP). Across 563 U.S. counties, CSP ranged from 3.8 to 37.9%. Among the full sample, a 10 percentage point increase in CSP was associated with an 11% greater likelihood of smoking. In subgroup analyses, young adults, women, those without children in the household, and risk/sensation-seekers were more likely to smoke and less likely to quit when exposed to counties with higher CSP. Relocation to areas with high population-level smoking prevalence may increase likelihood of smoking and impede quitting, and may disparately affect some population subgroups. Findings provide novel evidence that community smoking environments affect adult smoking risk and underscore a need for sustained, targeted efforts to reduce smoking in areas where prevalence remains high.

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References
1.
Cohen-Cole E, Fletcher J . Detecting implausible social network effects in acne, height, and headaches: longitudinal analysis. BMJ. 2008; 337:a2533. PMC: 2600605. DOI: 10.1136/bmj.a2533. View

2.
Farrelly M, Nonnemaker J, Davis K, Hussin A . The Influence of the National truth campaign on smoking initiation. Am J Prev Med. 2009; 36(5):379-84. DOI: 10.1016/j.amepre.2009.01.019. View

3.
Datar A, Nicosia N . Assessing Social Contagion in Body Mass Index, Overweight, and Obesity Using a Natural Experiment. JAMA Pediatr. 2018; 172(3):239-246. PMC: 5885842. DOI: 10.1001/jamapediatrics.2017.4882. View

4.
Shiffman S, Dunbar M, Ferguson S . Stimulus control in intermittent and daily smokers. Psychol Addict Behav. 2015; 29(4):847-55. PMC: 4624616. DOI: 10.1037/adb0000052. View

5.
Creamer M, Wang T, Babb S, Cullen K, Day H, Willis G . Tobacco Product Use and Cessation Indicators Among Adults - United States, 2018. MMWR Morb Mortal Wkly Rep. 2019; 68(45):1013-1019. PMC: 6855510. DOI: 10.15585/mmwr.mm6845a2. View