Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Houston, Texas, USA.
Subst Use Misuse. 2014 May;49(6):752-61. doi: 10.3109/10826084.2014.880121. Epub 2014 Feb 4.
The objective of this study was to identify and compare the predictors of smoking cessation medication use among obese and nonobese adult smokers. A retrospective cross-sectional study was conducted using the Medical Expenditure Panel Survey (MEPS) data (2008-2009). The study participants included smokers aged 18 years and older who self-reported their smoking status as smoker. The outcome variable was utilization of any Food and Drug Administration approved smoking cessation medication (varenicline, bupropion, and nicotine replacement therapy). Multivariable logistic regression analyses were conducted. A total of 82.20 million (weighted sample size for two years) adult smokers were included; of which nearly 30% were obese-smokers. The use of smoking cessation medication was 2.66% and 5.17% among nonobese and obese smokers, respectively. Multivariable logistic regression results showed that race/ethnicity, health insurance coverage, prescription insurance coverage, usual source of health care, urban residence, region, Charlson comorbidity index, and instrumental activities of daily living (IADL), were significant predictors of using smoking cessation medications. The overall smoking cessation medication use rate was low implying limited compliance to guideline. Predictors identified in this study should be taken into consideration in health promotion programs that are designed to optimize the utilization of these smoking cessation medications.
本研究旨在识别和比较肥胖和非肥胖成年吸烟者戒烟药物使用的预测因素。使用医疗支出面板调查(MEPS)数据(2008-2009 年)进行回顾性横断面研究。研究参与者包括自我报告吸烟状况为吸烟者的 18 岁及以上吸烟者。因变量是使用任何美国食品和药物管理局批准的戒烟药物(伐伦克林、安非他酮和尼古丁替代疗法)。进行了多变量逻辑回归分析。共有 8220 万(两年的加权样本量)成年吸烟者,其中近 30%为肥胖吸烟者。非肥胖吸烟者和肥胖吸烟者使用戒烟药物的比例分别为 2.66%和 5.17%。多变量逻辑回归结果表明,种族/民族、医疗保险覆盖范围、处方保险覆盖范围、常规医疗服务来源、城市居住、地区、Charlson 合并症指数和日常生活活动能力(IADL)是使用戒烟药物的重要预测因素。总的戒烟药物使用率较低,意味着对指南的遵守程度有限。本研究确定的预测因素应在旨在优化这些戒烟药物使用的健康促进计划中加以考虑。