University of Wisconsin School of Medicine and Public Health; Madison, WI.
J Clin Lipidol. 2009 Dec;3(6):372-8. doi: 10.1016/j.jacl.2009.10.008.
Smoking is associated with decreased high-density lipoprotein cholesterol (HDL-C) and elevated triglycerides.
To evaluate the effects of five markers of smoking intensity on lipoprotein concentrations and particle sizes in a large, modern cohort of current smokers.
Fasting nuclear magnetic resonance spectroscopy lipoprotein profiles were obtained in a large cohort of current smokers enrolled in a smoking cessation trial. Multivariate linear regression models were constructed to determine predictors of lipoprotein fractions. Models included age, sex, race, waist circumference, level of physical activity and alcohol consumption. Smoking intensity parameters included: current cigarettes smoked/day, pack-years, the Fagerström Test of Nicotine Dependence (FTND) score, and carbon monoxide (CO) levels.
The 1,504 subjects (58% women, 84% white) had a mean (standard deviation) age of 45 (11.0) years. They smoked 21.4 (8.9) cigarettes/day (29.4 [20.4] pack-years). HDL-C (42.0 [13.5] mg/dL) and total HDL particles (30.3 [5.9] μmol/L) were low. Cigarettes smoked/day independently predicted higher total cholesterol (p=0.009), low-density lipoprotein cholesterol (p=0.023), and triglycerides (p=0.002). CO levels predicted lower HDL-C (p=0.027) and total HDL particles (p=0.009). However, the incremental R(2) for each marker of smoking intensity on each lipoprotein was small. Relationships between the FTND score and lipoproteins were weak and inconsistent. Participants in the lowest quintiles of current smoking, pack-years, and CO had more favorable lipoproteins (all p<0.04).
Among current smokers, increased smoking burden is associated with small increases in total cholesterol, LDL-C, and triglycerides. Increased recent smoke exposure is associated with small decreases in HDL-C and HDL particles.
吸烟与高密度脂蛋白胆固醇（HDL-C）降低和甘油三酯升高有关。
评估五个吸烟强度标志物对大型现代吸烟者队列中脂蛋白浓度和颗粒大小的影响。
在一项戒烟试验中，对大量当前吸烟者进行空腹核磁共振光谱脂蛋白谱分析。建立多元线性回归模型，以确定脂蛋白分数的预测因子。模型包括年龄、性别、种族、腰围、体力活动水平和饮酒量。吸烟强度参数包括：当前每天吸烟支数、吸烟年包数、尼古丁依赖 Fagerström 测试（FTND）评分和一氧化碳（CO）水平。
1504 名受试者（58%女性，84%白人）的平均（标准差）年龄为 45（11.0）岁。他们每天吸烟 21.4（8.9）支（29.4[20.4]吸烟年包数）。HDL-C（42.0[13.5]mg/dL）和总 HDL 颗粒（30.3[5.9]μmol/L）较低。每天吸烟支数独立预测总胆固醇升高（p=0.009）、低密度脂蛋白胆固醇升高（p=0.023）和甘油三酯升高（p=0.002）。CO 水平预测 HDL-C 降低（p=0.027）和总 HDL 颗粒降低（p=0.009）。然而，每个吸烟强度标志物对每个脂蛋白的增量 R2 很小。FTND 评分与脂蛋白之间的关系较弱且不一致。当前吸烟量、吸烟年包数和 CO 最低五分位数的参与者具有更有利的脂蛋白（所有 p<0.04）。
在当前吸烟者中，吸烟负担增加与总胆固醇、LDL-C 和甘油三酯的小幅度增加有关。近期吸烟量增加与 HDL-C 和 HDL 颗粒的小幅度降低有关。
