Martine Shareck1, Yan Kestens2, Julie Vallée3, Geetanjali Datta4, Katherine L Frohlich5. 1. London School of Hygiene and Tropical Medicine, London, UK Département de médecine sociale et préventive, Université de Montréal, Montréal, Quebec, Canada Institut de recherche en santé publique de l'Université de Montréal (IRSPUM), Montréal, Quebec, Canada Centre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada. 2. Département de médecine sociale et préventive, Université de Montréal, Montréal, Quebec, Canada Institut de recherche en santé publique de l'Université de Montréal (IRSPUM), Montréal, Quebec, Canada Centre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada. 3. Département de médecine sociale et préventive, Université de Montréal, Montréal, Quebec, Canada Institut de recherche en santé publique de l'Université de Montréal (IRSPUM), Montréal, Quebec, Canada Centre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada Centre National de la Recherche Scientifique (CNRS), UMR Géographie-Cités, Paris, France. 4. Département de médecine sociale et préventive, Université de Montréal, Montréal, Quebec, Canada Centre de recherche du centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada. 5. Département de médecine sociale et préventive, Université de Montréal, Montréal, Quebec, Canada Institut de recherche en santé publique de l'Université de Montréal (IRSPUM), Montréal, Quebec, Canada.
Abstract
BACKGROUND: Despite a declining prevalence in many countries, smoking rates remain consistently high among young adults. Targeting contextual influences on smoking, such as the availability of tobacco retailers, is one promising avenue of intervention. Most studies have focused on residential or school neighbourhoods, without accounting for other settings where individuals spend time, that is, their activity space. We investigated the association between tobacco retailer availability in the residential neighbourhood and in the activity space, and smoking status. METHODS: Cross-sectional baseline data from 1994 young adults (aged 18-25) participating in the Interdisciplinary Study of Inequalities in Smoking (Montreal, Canada, 2011-2012) were analysed. Residential and activity locations served to derive two measures of tobacco retailer availability: counts within 500 m buffers and proximity to the nearest retailer. Prevalence ratios for the association between each tobacco retailer measure and smoking status were estimated using log-binomial regression. RESULTS: Participants encountering high numbers of tobacco retailers in their residential neighbourhood, and both medium and high retailer counts in their activity space, were more likely to smoke compared to those exposed to fewer retailers. While residential proximity was not associated with smoking, we found 36% and 42% higher smoking prevalence among participants conducting activities within medium and high proximity to tobacco retailers compared to those conducting activities further from such outlets. CONCLUSIONS: This study adds to the sparse literature on contextual correlates of smoking among young adults, and illustrates the added value of considering individuals' activity space in contextual studies of smoking. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
BACKGROUND: Despite a declining prevalence in many countries, smoking rates remain consistently high among young adults. Targeting contextual influences on smoking, such as the availability of tobacco retailers, is one promising avenue of intervention. Most studies have focused on residential or school neighbourhoods, without accounting for other settings where individuals spend time, that is, their activity space. We investigated the association between tobacco retailer availability in the residential neighbourhood and in the activity space, and smoking status. METHODS: Cross-sectional baseline data from 1994 young adults (aged 18-25) participating in the Interdisciplinary Study of Inequalities in Smoking (Montreal, Canada, 2011-2012) were analysed. Residential and activity locations served to derive two measures of tobacco retailer availability: counts within 500 m buffers and proximity to the nearest retailer. Prevalence ratios for the association between each tobacco retailer measure and smoking status were estimated using log-binomial regression. RESULTS:Participants encountering high numbers of tobacco retailers in their residential neighbourhood, and both medium and high retailer counts in their activity space, were more likely to smoke compared to those exposed to fewer retailers. While residential proximity was not associated with smoking, we found 36% and 42% higher smoking prevalence among participants conducting activities within medium and high proximity to tobacco retailers compared to those conducting activities further from such outlets. CONCLUSIONS: This study adds to the sparse literature on contextual correlates of smoking among young adults, and illustrates the added value of considering individuals' activity space in contextual studies of smoking. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Authors: Sharon Lipperman-Kreda; Laura J Finan; Sarah D Kowitt; Joel W Grube; Melissa Abadi; Anna Balassone; Emily Kaner Journal: Addiction Date: 2020-03-07 Impact factor: 6.526
Authors: Kassandra I Alcaraz; Jamilia Sly; Kimlin Ashing; Linda Fleisher; Virginia Gil-Rivas; Sabrina Ford; Jean C Yi; Qian Lu; Cathy D Meade; Usha Menon; Clement K Gwede Journal: J Behav Med Date: 2016-08-10