Predictors of quitting among african american light smokers enrolled in a randomized, placebo-controlled trial
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OBJECTIVE: To examine the predictors of quitting among African American (AA) light smokers (<10 cigarettes per day) enrolled in a smoking cessation trial.
METHODS: Baseline variables were analyzed as potential predictors from a 2 × 2 cessation trial in which participants were randomly assigned to 1 of 4 treatment groups: nicotine gum plus health education (HE) counseling, nicotine gum plus motivational interviewing (MI) counseling, placebo gum plus HE counseling, or placebo gum plus MI counseling. Chi-square tests, 2 sample t-tests, and multiple logistic regression analyses were used to identify predictors of cotinine (COT) verified abstinence at month 6.
RESULTS: In the final regression model, HE rather than MI counseling (odds ratio [OR]=2.26%, 95% confidence interval [CI]=1.36 to 3.74), older age (OR=1.03%, 95% CI=1.01 to 1.06), and higher body mass index (OR=1.04%, 95% CI=1.01 to 1.07) significantly increased the likelihood of quitting, while female gender (OR=0.46%, 95% CI=0.28 to 0.76), ≤$1,800/month income (OR=0.60%, 95% CI=0.37 to 0.97), higher baseline COT (OR=0.948%, 95% CI=0.946 to 0.950), and not completing all counseling sessions (OR=0.48%, 95% CI=0.27 to 0.84) reduced the odds of quitting.
CONCLUSIONS: Individual characteristics may decrease the likelihood of quitting; however, the provision of directive, advice-oriented counseling focused on the addictive nature of nicotine, health consequences of smoking, benefits of quitting, and development of a concrete quit plan may be an important and effective facilitator of quitting among AA light smokers.
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- Predictors of quitting among african american light smokers enrolled in a randomized, placebo-controlled trial
Journal of General Internal Medicine
Volume 21, Issue 6 , pp 590-595
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- smoking cessation
- African Americans
- light smokers
- Industry Sectors
- Author Affiliations
- 1. Department of Preventive Medicine and Public Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Mail Stop 1008, 66160, Kansas City, KS
- 2. Kansas Masonic Cancer Research Institute, University of Kansas Medical Center, Kansas City, KS, USA
- 3. Center for Biostatistics and Advanced Informatics, University of Kansas Medical Center, Kansas City, KS, USA
- 4. Department of Family Medicine, University of Kansas Medical Center, Kansas City, KS, USA
- 5. Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN, USA
- 6. Department of Medicine and Office of Clinical Research, University of Minnesota School of Medicine, Minneapolis, MN, USA