Related Experiment Videos
Identifying high- and low-success smoking cessation subgroups using signal detection analysis
Sonya B Norman1, Gregory J Norman, Joseph S Rossi
1VA San Diego Healthcare Systems and UCSD, MC116A4Z, San Diego, CA 92130, USA. Sonya.Norman@med.va.gov
Addictive Behaviors
|June 7, 2005
Summary
This study identified distinct smoker profiles to improve smoking cessation interventions. Lower perceived stress was linked to higher quit rates, suggesting stress management is key for successful cessation.
Area of Science:
- Behavioral Science
- Public Health
- Addiction Research
Background:
- Smoking cessation interventions aim to reduce tobacco use.
- Identifying specific smoker profiles can enhance intervention effectiveness.
- Previous research indicates psychological factors influence cessation success.
Purpose of the Study:
- To identify distinct subgroups of smokers based on their likelihood of smoking cessation.
- To examine characteristics associated with successful and unsuccessful smoking cessation at 6 and 18 months.
- To inform the development of targeted smoking cessation strategies.
Main Methods:
- Signal detection analysis was applied to data from 602 smokers in a cessation program.
- Smoker subgroups were identified at 6-month and 18-month follow-ups.
- Characteristics such as perceived stress, self-efficacy, and use of behavioral processes were assessed.
Main Results:
- Four subgroups were identified at 6 months and five at 18 months.
- The highest quit-rate subgroup (42% at 6 months, 52% at 18 months) reported low perceived stress.
- The lowest quit-rate subgroup exhibited higher perceived stress and lower self-efficacy.
Conclusions:
- Distinct smoker profiles emerged, varying in cessation likelihood.
- Low perceived stress is a significant factor associated with higher smoking cessation success.
- Targeting perceived stress in interventions may improve quit rates.