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Predictors of smoking cessation success
Alma Ortiz1, Miriam Martínez, Alfonso Torres
1Pulmonary and Critical Care Medicine Sections, San Juan Veterans Affairs Medical Center, San Juan, Puerto Rico.
Puerto Rico Health Sciences Journal
|July 18, 2003
Summary
The San Juan Veterans Affairs Hospital Smoking Cessation Clinic shows success rates comparable to national benchmarks. Poor health perception and heavy smoking predicted successful cessation in this Hispanic population.
Area of Science:
- Public Health
- Addiction Medicine
- Behavioral Science
Background:
- Smoking remains a significant public health concern, particularly among veteran populations.
- Understanding factors influencing smoking cessation is crucial for developing effective interventions.
- The San Juan Veterans Affairs Hospital Smoking Cessation Clinic serves a diverse Hispanic population.
Purpose of the Study:
- To determine the success rate of the Smoking Cessation Clinic.
- To explore attitudes toward smoking among current smokers and former smokers.
- To identify predictors of successful smoking cessation within this specific demographic.
Main Methods:
- A random sample of 61 participants from the clinic completed a telephone survey.
- The survey questionnaire was validated and standardized for Hispanic subjects.
- Data analysis focused on comparing characteristics and attitudes of current smokers versus those who had quit.
Main Results:
- The clinic achieved a 28% success rate in smoking cessation.
- Quitters, on average, smoked more cigarettes daily than current smokers.
- Quitters reported worse perceived general health compared to current smokers, despite concerns about weight gain.
- No significant association was found between active smoking and alcohol use, social interactions, or anxiety levels.
Conclusions:
- The Smoking Cessation Clinic's success rate aligns with findings from other reported clinics.
- Perceived poor health and a history of smoking over one pack per day were predictive of successful cessation.
- No single factor strongly predicted smoking cessation, highlighting the complexity of addiction.
- Tailoring smoking cessation programs to the specific characteristics of the target population is essential.