Eline Meijer1, Winifred A Gebhardt1, Arie Dijkstra2, Marc C Willemsen3,4, Colette Van Laar5. 1. a Health, Medical and Neuropsychology , Leiden University , Leiden , The Netherlands. 2. b Department of Social Psychology , University of Groningen , Groningen , The Netherlands. 3. c Department of Health Promotion , CAPHRI, Maastricht University , Maastricht , The Netherlands. 4. d Alliantie Nederland Rookvrij , The Hague , The Netherlands. 5. e Social and Cultural Psychology , University of Leuven , Leuven , Belgium.
Abstract
OBJECTIVE: We examined how 'smoker' and 'non-smoker' self- and group-identities and socio-economic status (SES) may predict smoking behaviour and responses to antismoking measures (i.e., the Dutch smoking ban in hospitality venues). We validated a measure of responses to the smoking ban. DESIGN: Longitudinal online survey study with one-year follow-up (N = 623 at T1 in 2011; N = 188 at T2 in 2012) among daily smokers. MAIN OUTCOME MEASURES: Intention to quit, quit attempts and 'rejecting', 'victimizing', 'socially conscious smoking' and 'active quitting' responses to the smoking ban. RESULTS: Non-smoker identities are more important than smoker identities in predicting intention to quit, quit attempts and responses to the smoking ban, even when controlling for other important predictors such as nicotine dependence. Smokers with stronger non-smoker identities had stronger intentions to quit, were more likely to attempt to quit between measurements, and showed less negative and more positive responses to the smoking ban. The association between non-smoker self-identity and intention to quit was stronger among smokers with lower than higher SES. CONCLUSION: Antismoking measures might be more effective if they would focus also on the identity of smokers, and help smokers to increase identification with non-smoking and non-smokers.
OBJECTIVE: We examined how 'smoker' and 'non-smoker' self- and group-identities and socio-economic status (SES) may predict smoking behaviour and responses to antismoking measures (i.e., the Dutch smoking ban in hospitality venues). We validated a measure of responses to the smoking ban. DESIGN: Longitudinal online survey study with one-year follow-up (N = 623 at T1 in 2011; N = 188 at T2 in 2012) among daily smokers. MAIN OUTCOME MEASURES: Intention to quit, quit attempts and 'rejecting', 'victimizing', 'socially conscious smoking' and 'active quitting' responses to the smoking ban. RESULTS: Non-smoker identities are more important than smoker identities in predicting intention to quit, quit attempts and responses to the smoking ban, even when controlling for other important predictors such as nicotine dependence. Smokers with stronger non-smoker identities had stronger intentions to quit, were more likely to attempt to quit between measurements, and showed less negative and more positive responses to the smoking ban. The association between non-smoker self-identity and intention to quit was stronger among smokers with lower than higher SES. CONCLUSION: Antismoking measures might be more effective if they would focus also on the identity of smokers, and help smokers to increase identification with non-smoking and non-smokers.
Authors: Claire E Blevins; Ana M Abrantes; Bradley J Anderson; Celeste M Caviness; Debra S Herman; Michael D Stein Journal: Addict Behav Date: 2017-12-20 Impact factor: 3.913
Authors: Kristen P Lindgren; Clayton Neighbors; Melissa L Gasser; Jason J Ramirez; Dario Cvencek Journal: Am J Drug Alcohol Abuse Date: 2016-10-07 Impact factor: 3.829
Authors: Daniel Rodriguez; Tiffanie Goulazian; Andrew A Strasser; Jennifer O Loughlin; Erika N Dugas; Chol Kuoiloi; Brian L Hitsman; Robert Schnoll Journal: J Smok Cessat Date: 2018-04-02
Authors: Matthew D Moore; Shabana Ali; Danielle Burnich-Line; Whitney Gonzales; Michael V Stanton Journal: Am J Public Health Date: 2020-04-16 Impact factor: 11.561