Identifying high- and low-success smoking cessation subgroups using signal detection analysis.
Signal detection analysis was used to identify mutually exclusive groups of smokers (n = 602) at high and low likelihood for smoking cessation 6- and 18-months post-entry into a smoking cessation intervention. Overall quit rates were 10% at 6-months and 18% at 18-months. Four subgroups were identified at 6-months and five at 18-months. The highest quit-rate subgroup at both time points (42% and 52% cessation, respectively) had low perceived stress. The lowest quit-rate subgroup (7% and 13% cessation, respectively) had higher perceived stress, lower self-efficacy to not smoke, lower use of behavioral processes at 6-months, and higher use of pros of smoking at 18-months. These smoker profiles may be useful in developing targeted smoking cessation interventions. Addressing perceived stress in smoking cessation interventions may help to improve smoking cessation success rates.
Norman
Sonya B
SB
VA San Diego Healthcare Systems and UCSD, MC116A4Z, San Diego, CA 92130, USA. Sonya.Norman@med.va.gov
Norman
Gregory J
GJ
Rossi
Joseph S
JS
Prochaska
James O
JO
D000293:Adolescent; D000328:Adult; D000368:Aged; D003376:Counseling / Q000379:methods; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012237:Rhode Island / Q000453:epidemiology; D012657:Self-Help Groups / Q000592:standards*; D017603:Signal Detection, Psychological; D016540:Smoking Cessation / Q000379:methods*; D000074606:Smoking Prevention; D011795:Surveys and Questionnaires; D016896:Treatment Outcome