X X Li1, Y Zhao1, L X Huang1, H X Xu1, X Y Liu1, J J Yang1, P J Zhang1, Y H Zhang2. 1. Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, PR China. 2. Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, PR China. Electronic address: zhabour@163.com.
Abstract
OBJECTIVES: To determine the individual and combined influences of smoking and alcohol consumption on lipid profile in male adults in northwest rural China. DESIGN: Cross-sectional study. METHODS: In total, 4614 subjects were enrolled in the cross-sectional study, performed between 2008 and 2012. The present study examined males aged ≥18 years from northwest rural China (n = 707). Data on current smoking and drinking status were collected. Logistic regression was used to estimate the individual and combined influences of smoking and alcohol consumption on lipid profile. Age, ethnic group, educational background, smoking (or alcohol consumption), waist circumference, body mass index, blood pressure and fasting blood glucose were adjusted as confounders. RESULTS: Total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C) ratio, triglycerides (TG)/HDL-C ratio, low-density lipoprotein cholesterol (LDL-C)/HDL-C ratio and visceral adiposity index (VAI) were significantly higher in smokers than in non-smokers, whereas HDL-C was lower in smokers. TG/HDL-C ratio, LDL-C/HDL-C ratio, TG, lipid accumulation product and VAI were significantly higher in drinkers than non-drinkers. After adjustment for confounders, significant relationships were observed between smoking status and any dyslipidemia, low HDL-C and high VAI (odds ratios [ORs]: 2.53 [95% confidence interval {CI}: 1.25-5.15], 6.13 [95% CI: 2.84-13.25] and 4.39 [95% CI: 2.02-9.54], respectively). The OR for any dyslipidaemia was 1.94 (95% CI: 1.09-3.48) for subjects who smoke and drank alcohol compared with subjects who did not smoke or drink alcohol. CONCLUSIONS: Abnormalities in lipid profile are correlated with smoking and alcohol consumption, which calls for intervention strategies to prevent dyslipidaemia and control risk factors for cardiovascular disease.
OBJECTIVES: To determine the individual and combined influences of smoking and alcohol consumption on lipid profile in male adults in northwest rural China. DESIGN: Cross-sectional study. METHODS: In total, 4614 subjects were enrolled in the cross-sectional study, performed between 2008 and 2012. The present study examined males aged ≥18 years from northwest rural China (n = 707). Data on current smoking and drinking status were collected. Logistic regression was used to estimate the individual and combined influences of smoking and alcohol consumption on lipid profile. Age, ethnic group, educational background, smoking (or alcohol consumption), waist circumference, body mass index, blood pressure and fasting blood glucose were adjusted as confounders. RESULTS: Total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C) ratio, triglycerides (TG)/HDL-C ratio, low-density lipoprotein cholesterol (LDL-C)/HDL-C ratio and visceral adiposity index (VAI) were significantly higher in smokers than in non-smokers, whereas HDL-C was lower in smokers. TG/HDL-C ratio, LDL-C/HDL-C ratio, TG, lipid accumulation product and VAI were significantly higher in drinkers than non-drinkers. After adjustment for confounders, significant relationships were observed between smoking status and any dyslipidemia, low HDL-C and high VAI (odds ratios [ORs]: 2.53 [95% confidence interval {CI}: 1.25-5.15], 6.13 [95% CI: 2.84-13.25] and 4.39 [95% CI: 2.02-9.54], respectively). The OR for any dyslipidaemia was 1.94 (95% CI: 1.09-3.48) for subjects who smoke and drank alcohol compared with subjects who did not smoke or drink alcohol. CONCLUSIONS: Abnormalities in lipid profile are correlated with smoking and alcohol consumption, which calls for intervention strategies to prevent dyslipidaemia and control risk factors for cardiovascular disease.
Authors: P V AshaRani; Mohamed Zakir Karuvetil; Tan Yeow Wee Brian; Pratika Satghare; Kumarasan Roystonn; Wang Peizhi; Laxman Cetty; Noor Azizah Zainuldin; Mythily Subramaniam Journal: Int J Ment Health Addict Date: 2022-01-23 Impact factor: 11.555