Social context variables as predictors of smoking cessation

Area of Science:

• Behavioral Science
• Public Health
• Cardiovascular Disease Research

Background:

• Smoking cessation is crucial for cardiovascular disease (CVD) patients.
• Social support is a known factor influencing health behaviors.
• The specific role of different types of social support in CVD patient cessation requires further clarification.

Purpose of the Study:

• To investigate positive and negative social support as predictors of smoking cessation.
• To examine demographic and social context variables (age, education, marital status, gender, exposure to other smokers) as predictors.
• To analyze these predictors at one, six, and 12 months post-diagnosis in non-hospitalized adults with CVD.

Main Methods:

• Employed discriminant function analyses (DFA) and longitudinal "lag" analyses.
• Utilized data from 137 non-hospitalized adults diagnosed with cardiovascular health problems.
• Assessed social support and demographic variables at multiple follow-up points.

Main Results:

• Gender and marital status were significant predictors at one year; low negative support was significant at all follow-ups.
• Quitters reported lower negative support than non-quitters.
• Positive support at one month and negative support at six months predicted one-year cessation; being male and married also contributed.

Conclusions:

• Positive support predicts quitting at one year, while negative support predicts continued smoking.
• Longitudinal analyses indicate positive support at one month and negative support at six months predict one-year cessation.
• Social support's influence on smoking cessation in CVD patients appears to evolve over time, suggesting a dynamic role.