title: Current Smoking Dose-Dependently Associated with Decreased β-Cell Function in Chinese Men without Diabetes.
abstract: The aim of this study was to evaluate the associations between chronic smoking and insulin resistance and β-cell function in Chinese men without diabetes. A total of 1,568 participants were recruited by multistage sampling. Using homeostatic model assessment (HOMA), geometric means of insulin resistance (HOMA-IR) and β-cell function (HOMA-β) with 95% confidence interval (CI) were calculated by general linear model. Odds ratios (ORs) with 95% CI were estimated to evaluate the associations between smoking status and insulin resistance and β-cell deficiency under a logistic regression model. Current smokers had higher levels of 2 h glucose (6.66 versus 6.48 mmol/L) for oral glucose tolerance test and lower levels of fasting insulin (5.68 versus 6.03 mU/L) than never smokers. The adjusted means for HOMA-β (%) were 54.86 in current smokers and 58.81 in never smokers (P = 0.0257). Current smoking was associated with β-cell deficiency (OR 1.29, 95% CI 1.01-1.64) compared to never smoking. The β-cell function gradually decreased with increasing smoking intensity (P trend = 0.0026), and the differences were statistically significant when the pack-year of smoking was 20 or above. No association was observed between smoking status and HOMA-IR. Our study suggested that chronic smoking may dose-dependently suppress insulin secretion in Chinese men.
authors.affiliation: Department of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
authors.forename: Chun
authors.initials: C
authors.lastname: Wang
authors.affiliation: Department of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
authors.forename: Yijun
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Comprehensive Statistics, The Third People's Hospital of Nantong, Nantong, Jiangsu 226000, China.
authors.forename: Junxia
authors.initials: J
authors.lastname: Wu
authors.affiliation: Department of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
authors.forename: Suyi
authors.initials: S
authors.lastname: Liu
authors.affiliation: Department of Computer Science, School of Computer Science and Technology, Nantong University, Nantong, Jiangsu 226000, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: Department of Chronic Non-Communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
authors.forename: Shurong
authors.initials: S
authors.lastname: Lv
authors.affiliation: Department of Chronic Non-Communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
authors.forename: Ping
authors.initials: P
authors.lastname: Lin
authors.affiliation: Department of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
authors.forename: Xiaoke
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Chronic Non-Communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Department of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
authors.forename: Shali
authors.initials: S
authors.lastname: Yu
authors.affiliation: Department of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Chen
authors.affiliation: Department of Chronic Non-Communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
authors.forename: Quanyong
authors.initials: Q
authors.lastname: Xiang
mesh_terms: D000328:Adult; D000368:Aged; D064829:Alcohol Abstinence / Q000706:statistics & numerical data; D000428:Alcohol Drinking / Q000453:epidemiology; D001786:Blood Glucose / Q000378:metabolism*; D016022:Case-Control Studies; D002681:China / Q000453:epidemiology; D008076:Cholesterol, HDL / Q000378:metabolism; D008078:Cholesterol, LDL / Q000378:metabolism; D005951:Glucose Tolerance Test; D006801:Humans; D007328:Insulin / Q000378:metabolism*; D007333:Insulin Resistance; D000078790:Insulin Secretion; D050417:Insulin-Secreting Cells / Q000378:metabolism*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012907:Smoking / Q000453:epidemiology / Q000378:metabolism*; D014280:Triglycerides / Q000378:metabolism
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D007328:Insulin; D014280:Triglycerides