Knowing quitters predicts smoking cessation in a homeless population

Kathryn Goldade; Don Des Jarlais; Susan A. Everson-Rose; Hongfei Guo; Janet Thomas; Lillian Gelberg; Anne M. Joseph; Kolawole S. Okuyemi

doi:10.5993/AJHB.37.4.9

Knowing quitters predicts smoking cessation in a homeless population

Kathryn Goldade, Don Des Jarlais, Susan A. Everson-Rose, Hongfei Guo, Janet Thomas, Lillian Gelberg, Anne M. Joseph, Kolawole S. Okuyemi

Global Public Health

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	517-524
Number of pages	8
Journal	American Journal of Health Behavior
Volume	37
Issue number	4
DOIs	https://doi.org/10.5993/AJHB.37.4.9
State	Published - Jul 2013

Keywords

Homeless population
Smoking cessation
Social influence

ASJC Scopus subject areas

Health(social science)
Social Psychology
Public Health, Environmental and Occupational Health

Access to Document

10.5993/AJHB.37.4.9

Cite this

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title = "Knowing quitters predicts smoking cessation in a homeless population",

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",

author = "Kathryn Goldade and Jarlais, {Don Des} and Everson-Rose, {Susan A.} and Hongfei Guo and Janet Thomas and Lillian Gelberg and Joseph, {Anne M.} and Okuyemi, {Kolawole S.}",

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AU - Goldade, Kathryn

AU - Jarlais, Don Des

AU - Everson-Rose, Susan A.

AU - Guo, Hongfei

AU - Thomas, Janet

AU - Gelberg, Lillian

AU - Joseph, Anne M.

AU - Okuyemi, Kolawole S.

PY - 2013/7

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Knowing quitters predicts smoking cessation in a homeless population

Abstract

Keywords

ASJC Scopus subject areas

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