Back to Search
Start Over
Do predictors of smoking relapse change as a function of duration of abstinence? Findings from the United States, Canada, United Kingdom and Australia
- Source :
- Addiction. 113:1295-1304
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- AIMS To estimate predictors of time to smoking relapse and test if prediction varied by quit duration. DESIGN Longitudinal cohort data from the International Tobacco Control Four-Country survey with annual follow up collected between 2002 and 2015. SETTING Canada, United States, United Kingdom and Australia. PARTICIPANTS A total of 9171 eligible adult smokers who had made at least one quit attempt during the study period. MEASUREMENTS Time to relapse was the main outcome. Predictor variables included pre-quit baseline measures of nicotine dependence, smoking and quitting-related motivations, quitting capacity and social influence, and also two post-quit measures, use of stop-smoking medications and quit duration (1-7 days, 8-14 days, 15-31 days, 1-3 months, 3-6 months, 6-12 months, 1-2 years and 2+ years), along with socio-demographics. FINDINGS All factors were predictive of relapse within the first 6 months of quitting but only wanting to quit, quit intentions and number of friends who smoke were still predictive of relapse in the 6-12-month period of quitting [hazard ratios (HR) = 1.20, P < 0.05; 1.13, P < 0.05; and 1.21, P
- Subjects :
- business.industry
media_common.quotation_subject
Hazard ratio
Tobacco control
030508 substance abuse
Medicine (miscellaneous)
Abstinence
medicine.disease
3. Good health
03 medical and health sciences
Psychiatry and Mental health
Smoking relapse
0302 clinical medicine
behavior and behavior mechanisms
medicine
030212 general & internal medicine
Longitudinal cohort
Duration (project management)
0305 other medical science
Nicotine dependence
business
Survival analysis
media_common
Demography
Subjects
Details
- ISSN :
- 09652140
- Volume :
- 113
- Database :
- OpenAIRE
- Journal :
- Addiction
- Accession number :
- edsair.doi...........a481d00b297ddc19249b0817bd6eb8ce