TY - JOUR
T1 - Longitudinal associations of local cigarette prices and smoking bans with smoking behavior in the multi-ethnic study of atherosclerosis
AU - Mayne, Stephanie L.
AU - Auchincloss, Amy H.
AU - Stehr, Mark F.
AU - Kern, David M.
AU - Navas-Acien, Ana
AU - Kaufman, Joel D.
AU - Michael, Yvonne L.
AU - Diez Roux, Ana V.
N1 - Funding Information:
This research was partially supported by P60 MD002249-05 (from US Department of Health and Human Services, National Institutes of Health [NIH], and National Institute of Minority Health and Health Dispari-ties) and R01 HL071759 (NIH, National Heart, Lung, and Blood Insti-tute [NIH NHLBI]). Funding for the MESA parent study came from NIH NHLBI contracts: HHSN268201500003I, N01-HC-95159 through 95169, and from grants UL1-TR-000040 and UL1-TR-001079 (NIH, National Center for Research Resources).
Publisher Copyright:
Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Background: Few studies have examined associations of geographically proximal cigarette prices with within-person changes in smoking outcomes or assessed interactions between cigarette prices and smoking bans. Methods: We linked neighborhood cigarette prices (inflation-adjusted) at chain supermarkets and drug stores and bar/restaurant smoking ban policies to cohort participants (632 smokers from the Multi-Ethnic Study of Atherosclerosis, 2001-2012, baseline mean age 58 years) using geocoded retailer and participant addresses. We used fixed-effects models to investigate associations of within-person changes in price and ban exposures with within-person changes in five smoking outcomes: current smoking, heavy (≥10 cigarettes) smoking, cessation, relapse, and intensity (average number of cigarettes smoked per day, natural log transformed). We assessed intensity associations among all smokers, and heavy (≥10 cigarettes per day) and light (<10) baseline smokers. Finally, we tested interactions between cigarette price and bans. Results: A $1 increase in price was associated with a 3% reduction in risk of current smoking (adjusted risk ratio [aRR]: 0.97; 95% confidence interval [CI] = 0.93, 1.0), a 7% reduction in risk of heavy smoking (aRR: 0.93; CI = 0.87, 0.99), a 20% increase in risk of smoking cessation (aRR: 1.2; CI = 0.99, 1.4), and a 35% reduction in the average number of cigarettes smoked per day by heavy baseline smokers (ratio of geometric means: 0.65; CI = 0.45, 0.93). We found no association between smoking bans and outcomes, and no evidence that price effects were modified by the presence of bans. Conclusions: Results underscore the importance of local prices, but not hospitality smoking bans, in influencing older adults' smoking behaviors.
AB - Background: Few studies have examined associations of geographically proximal cigarette prices with within-person changes in smoking outcomes or assessed interactions between cigarette prices and smoking bans. Methods: We linked neighborhood cigarette prices (inflation-adjusted) at chain supermarkets and drug stores and bar/restaurant smoking ban policies to cohort participants (632 smokers from the Multi-Ethnic Study of Atherosclerosis, 2001-2012, baseline mean age 58 years) using geocoded retailer and participant addresses. We used fixed-effects models to investigate associations of within-person changes in price and ban exposures with within-person changes in five smoking outcomes: current smoking, heavy (≥10 cigarettes) smoking, cessation, relapse, and intensity (average number of cigarettes smoked per day, natural log transformed). We assessed intensity associations among all smokers, and heavy (≥10 cigarettes per day) and light (<10) baseline smokers. Finally, we tested interactions between cigarette price and bans. Results: A $1 increase in price was associated with a 3% reduction in risk of current smoking (adjusted risk ratio [aRR]: 0.97; 95% confidence interval [CI] = 0.93, 1.0), a 7% reduction in risk of heavy smoking (aRR: 0.93; CI = 0.87, 0.99), a 20% increase in risk of smoking cessation (aRR: 1.2; CI = 0.99, 1.4), and a 35% reduction in the average number of cigarettes smoked per day by heavy baseline smokers (ratio of geometric means: 0.65; CI = 0.45, 0.93). We found no association between smoking bans and outcomes, and no evidence that price effects were modified by the presence of bans. Conclusions: Results underscore the importance of local prices, but not hospitality smoking bans, in influencing older adults' smoking behaviors.
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U2 - 10.1097/EDE.0000000000000736
DO - 10.1097/EDE.0000000000000736
M3 - Article
C2 - 28817468
AN - SCOPUS:85045635933
SN - 1044-3983
VL - 28
SP - 863
EP - 871
JO - Epidemiology
JF - Epidemiology
IS - 6
ER -