1 Department of Public Health Sciences, Penn State University College of Medicine , Hershey, Pennsylvania.
2 Department of Pharmacology, Penn State University , Hershey, Pennsylvania.
J Womens Health (Larchmt). 2017 Nov;26(11):1222-1230. doi: 10.1089/jwh.2016.6317. Epub 2017 Sep 5.
This study was conducted to determine sex/gender differences in smoke exposure and to quantify the role of potential predictors including puffing behaviors, nicotine dependence, and non-nicotinic factors.
The Pennsylvania Adult Smoking Study (PASS) of 332 adult cigarette smokers utilized portable handheld topography devices to capture the smokers' profiles in a naturalistic environment. Sex/gender differences in salivary biomarkers were modeled using ANCOVA to account for measures of dependence (Fagerstrom Test for Nicotine Dependence, nicotine metabolite ratio [3-hydroxycotinine/cotinine]), and nondependence covariates including anthropomorphic factors and stress. The Blinder-Oaxaca method was used to decompose the sex/gender differences in nicotine uptake due to covariates.
Men had significantly higher cotinine levels (313.5 ng/mL vs. 255.8 ng/mL, p < 0.01), cotinine +3-hydroxycotinine levels, (0.0787 mol/L vs. 0.0675 mol/L, p = 0.01), puff volumes (52.95 mL vs. 44.77 mL, p < 0.01), and a lower nicotine metabolite ratio (0.396 vs. 0.475, p = 0.01) than women. The mean Fagerström Test for Nicotine Dependence score did not differ between men and women (p = 0.24). Women had a higher mean Hooked on Tobacco Checklist score than men (7.64 vs. 6.87, p < 0.01). In multivariate analysis, nicotine metabolite levels were not significantly different by sex. Decomposition results show that ten predictors can explain 83% of the sex/gender differences in cotinine uptake. Height was the greatest contributor to these differences, followed by average puff volume. Conclusion and Impact: The higher levels of nicotine metabolites in men, compared to women, can be explained by height, weight, puff volume, and nicotine metabolism.
本研究旨在确定吸烟暴露中的性别差异,并定量评估包括吸烟行为、尼古丁依赖和非尼古丁因素在内的潜在预测因素的作用。
宾夕法尼亚州成人吸烟研究(PASS)纳入了 332 名成年吸烟者,利用便携式手持拓扑设备在自然环境中捕获吸烟者的特征。采用协方差分析(ANCOVA)对唾液生物标志物的性别差异进行建模,以考虑依赖(尼古丁依赖测试 Fagerstrom 量表、尼古丁代谢物比[3-羟基可替宁/可丁宁])和非依赖(包括人体测量因素和应激)的测量值。采用布伦纳-奥克萨卡方法(Blinder-Oaxaca method)对由于协变量导致的尼古丁摄取的性别差异进行分解。
男性的可替宁水平(313.5ng/ml 比 255.8ng/ml,p<0.01)、可替宁+3-羟基可替宁水平(0.0787mol/L 比 0.0675mol/L,p=0.01)、吸烟量(52.95ml 比 44.77ml,p<0.01)和尼古丁代谢物比值(0.396 比 0.475,p=0.01)均显著高于女性。男性和女性的尼古丁依赖测试 Fagerstrom 量表评分无差异(p=0.24)。女性的烟草依赖检查表评分(7.64 分比 6.87 分,p<0.01)显著高于男性。多变量分析显示,性别对尼古丁代谢物水平无显著影响。分解结果表明,有 10 个预测因子可以解释 83%的可替宁摄取的性别差异。身高是造成这些差异的最大因素,其次是平均吸烟量。结论和影响:与女性相比,男性的尼古丁代谢物水平较高,这可以通过身高、体重、吸烟量和尼古丁代谢来解释。