Article

Factors Associated With Quitting Smoking at a Tobacco Dependence Treatment Clinic

Tobacco Dependence Program (TDP), University of Medicine and Dentistry of New Jersey (UMDNJ) School of Public Health (SPH), New Brunswick, NJ 08901, USA.
American journal of health behavior (Impact Factor: 1.31). 07/2006; 30(4):400-12. DOI: 10.5555/ajhb.2006.30.4.400
Source: PubMed

ABSTRACT To identify factors associated with successful quitting at a free tobacco treatment clinic.
A cohort study of the first 1021 patients who made a quit attempt. Baseline and treatment variables were recorded, and logistic regression was used to identify factors associated with abstinence at 4-week and 6-month follow-up.
Three hundred twenty (31.3%) patients reported tobacco abstinence at 6 months. Several markers of low socioeconomic status and high nicotine dependence were predictive of poorer smoking cessation outcomes. Compliance with evidence-based treatment was associated with improved treatment outcome, as was older age and having more than 2 children.
Efforts should be made to enhance treatment compliance among smokers with indicators of high nicotine dependence and low socioeconomic status.

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    • "Comparing racial differences in smoking characteristics, African Americans tend to exhibit characteristics that might favor smoking cessation, including smoking fewer cigarettes per day (e.g., Foulds et al., 2006), initiating smoking at older ages (e.g., Cropsey et al., 2009), and taking fewer puffs per cigarette (e.g., Clark, Gautam, & Gerson, 1996). However, the majority of African Americans smoke mentholated cigarettes, (Stahre, Okuyemi, Joseph, & Fu, 2010; Trinidad, Pérez-Stable, "
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    ABSTRACT: Racial and gender disparities for smoking cessation might be accounted for by differences in expectancies for tobacco interventions, but few studies have investigated such differences or their relationships with motivation to quit and abstinence self-efficacy. In this cross-sectional study, 673 smokers (African American n = 443, 65.8%; women n = 222, 33.0%) under criminal justice supervision enrolled in a clinical smoking cessation trial in which all received bupropion and half received counseling. All participants completed pretreatment measures of expectancies for different tobacco interventions, motivation to quit, and abstinence self-efficacy. The indirect effects of race and gender on motivation to quit and abstinence self-efficacy through expectancies for different tobacco interventions were evaluated. African Americans' stronger expectancies that behavioral interventions would be effective accounted for their greater motivation to quit and abstinence self-efficacy. Women's stronger expectancies for the effectiveness of pharmacotherapy accounted for their greater motivation to quit, whereas their stronger expectancies for the effectiveness of behavioral treatments accounted for their greater abstinence self-efficacy. Findings point to the mediating role of expectancies for treatment effectiveness and suggest the importance of exploring expectancies among African Americans and women as a way to augment motivation and self-efficacy.
    Nicotine & Tobacco Research 09/2014; 16(9):1174-1182. DOI:10.1093/ntr/ntu048 · 2.81 Impact Factor
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    • "Based on analyses that controlled for variables statistically 1 In the 2006/07 administration of TUS-CPS, detailed information on prior smoking habits was collected from former smokers who had quit smoking up to five years prior to the survey; for the 2010/11 administration, information on prior smoking habits was collected for those who had quit smoking up to three years prior to the survey. significantly correlated with abstinence, Foulds et al. (2006) presented evidence for a trend towards lower abstinence among menthol versus non-menthol cigarette smokers at 4-weeks and 26-weeks follow-up; however, differences between menthol and non-menthol cigarette smokers were not statistically significant. Gandhi et al. (2009) reported statistically significantly lower odds of quitting at 4-weeks and 6-months follow-up among African– American menthol versus non-menthol cigarette smokers; no differences were indicated among White menthol versus nonmenthol smokers, with inconsistent findings among Latino smokers . "
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    ABSTRACT: The National Health and Nutrition Examination Survey, National Survey on Drug Use and Health, National Health Interview Survey and Tobacco Use Supplement to the Current Population Survey provide estimates of the proportions of U.S. smokers who currently use menthol cigarettes, overall and within demographic strata. Among adult past-month, regular and daily smokers, menthol cigarette use ranges from 26% to 30%, with statistically higher proportions of female versus male smokers (8-11 percentage points higher) currently using menthol cigarettes. Compared to adult smokers overall, statistically higher proportions of non-Hispanic Black smokers (72%-79%) and statistically lower proportions of non-Hispanic White smokers (19%-22%) currently use menthol cigarettes, with no differences among smokers of other race/ethnicity groups (18%-20% to 28%-30%, depending on the survey). Higher proportions of younger adult past-month, regular and daily smokers (aged 18-25 years) currently use menthol cigarettes compared to older adult smokers (aged 26-29 years and/or ⩾30 years); however, differences are small in magnitude, with the vast majority of adult smokers (70%-75%) who currently use menthol cigarettes being aged ⩾30 years. Comparisons between youth and adult smokers are provided, although data for youth smokers are less available and provide less consistent patterns of menthol cigarette use.
    Regulatory Toxicology and Pharmacology 07/2014; 70(1). DOI:10.1016/j.yrtph.2014.06.018 · 2.14 Impact Factor
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    • "Type of treatment initiated, whether dichotomized into those on pharmacologic versus non-pharmacologic treatment, or by looking at four distinct treatment modalities, was also not found to be a significant predictor of outcome status. Elsewhere, lower nicotine dependence has been shown to be consistently predictive of successful quitting in clinic populations27 and in general populations28. The discrepancy between HSI and FTND was unexpected, it could possibly be because the latter may have inherent shortcomings and weak psychometric properties in some sub-populations29. "
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    ABSTRACT: Background & objectives: Nicotine dependence is a widely prevalent and harmful chronic addictive disorder. Quitting tobacco use is however, uncommon in India. We present long-term treatment outcomes of out-patient, tobacco cessation treatments from a specialty clinic setting in southern India. Methods: Patients seen in a tobacco cessation clinic were characterized for tobacco use, nicotine dependence and motivation for quitting and offered pharmacologic/non-pharmacologic treatment. They were subsequently contacted telephonically at a mean (±standard deviation) of 24 (±9.1) months to assess tobacco cessation outcome defined as ‘point prevalence of 1-month abstinence’ by self-reporting. Results: The mean age of participants was 48.0 ±14.0 yr. Tobacco use distribution was: beedis only (22%), cigarettes only (49%), beedis and cigarettes (18%), chewing only (2%), and smoking and chewing (9%). Two-thirds had high level of nicotine dependence. Of the 189 patients enrolled, only 15 per cent attended follow up clinics. Only 106 (56%) patients were successfully contacted telephonically and 83 (44%) were lost to follow up. Self-reported point prevalence abstinence was 5 per cent by ‘intent-to-treat’ analysis and 10 per cent by ‘responder’ analysis. Two clinical parameters – high level of nicotine dependence [estimated by the heaviness of smoking index (HSI)] and the absence of vascular or other chronic disease were found to be associated with successful quitting; these were however, not significant on multivariate analysis. Interpretation & conclusions: Our study has identified low quit-rates in a cohort of patients attending a hospital-based tobacco cessation clinic. In the absence of clear-cut predictors of cessation with low quit-rates, there should be continued efforts to improve cessation outcomes and identify predictors for action.
    The Indian Journal of Medical Research 06/2014; 139(4). · 1.66 Impact Factor
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