Mestre Luis Miguel, Zoh Roger S, Perry Cydne, Fukuyama Julia, Parker Maria A
Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, United States of America.
Department of Epidemiology and Biostatistics, Indiana University School of Public Health- Bloomington, Bloomington, Indiana, United States of America.
PLoS One. 2025 Apr 30;20(4):e0319560. doi: 10.1371/journal.pone.0319560. eCollection 2025.
While there is evidence demonstrating the association between cigarette smoking and weight status, and mortality and weight status, it has not been examined whether weight status is a mediator between number of cigarettes smoked per day (CPD) and all-cause mortality, limiting our knowledge of this association and potential novel approaches to reduce all-cause mortality due to cigarette smoking. We aimed to evaluate whether weight status mediated the association between CPD and mortality.
We harnessed the 2003-2018 NHANES and the Linkage Mortality Files, which included adults who smoked ≥ 100 lifetime cigarettes (unweighted n = 5,676). A generalized linear model estimated the association between cigarettes smoked per day (CPD) and weight status (e.g., Body Mass Index (BMI) or Waist Circumference (WC)). An Accelerated Failure Time model with a Weibull distribution estimated the association between CPD and all-cause mortality with weight status as a mediator, adjusting for age, SES, alcohol consumption, race/ethnicity, sex/gender, blood pressure, total cholesterol, and physical activity.
Between 2003-2018, the sample's mean BMI was 27.97 kg/m2, sample's mean WC was 97.58 cm and mean CPD was 13.21. The total effect in the mediation analysis of WC adjusted by BMI levels in the association between CPD and all-cause mortality was -0.44 (95% CI = -2.00, -0.20; p = 0.016), the average direct effect was -0.35 (95% CI = -1.86, -0.10; p = 0.036), and the average indirect effect was -0.10 (95% CI = -0.23, -0.05; p < 0.001).
WC, as a surrogate measure of weight status, when adjusted by BMI levels, was a partial mediator between CPD and all-cause mortality. Public health interventions aimed to reduce mortality due to cigarette smoking at the population level should consider weight management programs as a harm reduction strategy to reduce mortality.
虽然有证据表明吸烟与体重状况以及死亡率与体重状况之间存在关联,但尚未研究体重状况是否是每日吸烟量(CPD)与全因死亡率之间的中介因素,这限制了我们对这种关联以及降低吸烟所致全因死亡率潜在新方法的了解。我们旨在评估体重状况是否介导了CPD与死亡率之间的关联。
我们利用了2003 - 2018年的美国国家健康与营养检查调查(NHANES)以及关联死亡率文件,其中包括终生吸烟≥100支的成年人(未加权n = 5676)。一个广义线性模型估计了每日吸烟量(CPD)与体重状况(如体重指数(BMI)或腰围(WC))之间的关联。一个具有威布尔分布的加速失效时间模型估计了以体重状况为中介因素时CPD与全因死亡率之间的关联,并对年龄、社会经济地位、饮酒量、种族/族裔、性别、血压、总胆固醇和身体活动进行了调整。
在2003 - 2018年期间,样本的平均BMI为27.97kg/m²,样本的平均WC为97.58cm,平均CPD为13.21。在CPD与全因死亡率关联中,经BMI水平调整的WC中介分析的总效应为 -0.44(95%置信区间 = -2.00,-0.20;p = 0.016),平均直接效应为 -0.35(95%置信区间 = -1.86,-0.10;p = 0.036),平均间接效应为 -0.10(95%置信区间 = -0.23,-0.05;p < 0.001)。
WC作为体重状况的替代指标,经BMI水平调整后,是CPD与全因死亡率之间的部分中介因素。旨在在人群层面降低吸烟所致死亡率的公共卫生干预措施应将体重管理项目视为降低死亡率的一种减少危害策略。