The Joint Effects of Smoking and Alcohol Drinking on Lipid-Related Indices among Chinese Males-Comparing Exercise and Non-Exercise Groups
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Published on: December 1, 2023
Jian Yang1,2, Jun Ye1, Qiao Guo2
1a Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines , Chinese Academy of Sciences , Hefei , Anhui , P. R. China.
Background:
Smoking and drinking are two predisposing factors for dyslipidemia. Exercise has been proposed as a strategy to improve the blood lipids. However, it remains unclear how smoking and drinking jointly affect blood lipids and whether exercise influences their effects.
Objectives:
To evaluate the effects of smoking and drinking, either alone or in combination, on lipid-related indices in both exercise and non-exercise groups among Chinese men.
Methods:
This study was conducted in a health examination center between 2015 and 2016. A sample of 6,179 male subjects was divided into exercise and non-exercise groups. Logistic and linear regression analyses were used to calculate the odds ratios for abnormal lipid-related indices and correlation coefficients between smoking/drinking and lipid-related indices.
Results:
In the study population, the percentage of stable smokers and stable drinkers was 46.3% (2,860/6,179) and 77.6% (4,795/6,179), respectively. An increased smoking amount was significantly associated with an elevated triglyceride (TG) level and a decreased high-density lipoprotein cholesterol (HDL-C) level. Heavier smokers had higher odds ratios for high TG and low HDL-C. Heavier drinkers had higher levels of total cholesterol (TC), TG, and HDL-C and higher odds ratios for high TC and high TG but lower odds ratio for low HDL-C. The exercise group had lower TG levels and higher HDL-C levels than did the non-exercise group.
Conclusions:
Both heavier smoking and heavier drinking were associated with poorer TG levels, and the results suggest that drinking may be helpful for HDL-C. Exercise may relieve the negative effects of smoking and drinking.
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