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Knowing Quitters Predicts Smoking Cessation in a Homeless Population

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Abstract:

Objectives: To examine the impact of knowing quitters on cessation among homeless smokers. Methods: Secondary analysis of data derived from a community-based randomized controlled trial of 430 homeless smokers. We conducted multivariable logistic regression analysis to determine whether knowing quitters impacted the likelihood of cessation (salivary cotinine ≤ 20 ng/ml) at 26-week follow-up. Results: Multivariable logistic regression showed cessation was more likely for smokers who knew ≥ 5 quitters compared with those who knew no quitters (Odds Ratio = 3.79, CI = 1.17, 12.27, p = .008), adjusting for age, education, income, and time to first cigarette in morning. Conclusions: Knowing former smokers was associated with increased likelihood of achieving smoking abstinence among homeless smokers.

Keywords: HOMELESS POPULATION; SMOKING CESSATION; SOCIAL INFLUENCE

Document Type: Research Article

DOI: http://dx.doi.org/10.5993/AJHB.37.4.9

Affiliations: 1: Program in Health Disparities Research, Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA 2: Epidemiology, Beth Israel Medical Center, New York, NY, USA 3: Program in Health Disparities Research, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA 4: Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA 5: University of California at Los Angeles, David Geffen School of Medicine, Los Angeles, CA, USA 6: Program in Health Disparities, University of Minnesota Medical School, Minneapolis, MN, USA

Publication date: July 1, 2013

More about this publication?
  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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