title: Gender differences in the relationship between plasma lipids and fasting plasma glucose in non-diabetic urban Chinese population: a cross-section study.
abstract: The association between dyslipidemia and elevated fasting glucose in type 2 diabetes is well known. In non-diabetes, whether this association still exists, and whether dyslipidemia is an independent risk factor for high fasting plasma glucose (FPG) levels are not clear. This cross-sectional study recruited 3460 non-diabetic Chinese subjects (1027 men, and 2433 women, aged 35-75 years old) who participated in a health survey. Men and women were classified into tertiles by levels of plasma lipids respectively. In women, the prevalence of impaired fasting glucose (IFG) was decreased with increased HDL-C. A stepwise increase in HDL-C was associated with decreasing FPG levels (lowest tertiles, FPG: 5.376 ± 0.018; middle tertiles, 5.324 ± 0.018; highest tertiles, 5.276 ± 0.018 mmol/L; P = 0.001). Reversely, FPG levels increased from lowest tertiles to highest tertiles of LDL-C, TC, and TG. we found that women in the first tertile with lower HDL-C level had a 1.75-fold increase in risk of IFG compared with non-diabetic women in the third tertile with higher HDL-C level (OR: 1.75; 95% CI: 1.20-2.56). In men, no significant association was found. We took age, BMI, waist/hip ratio, education, smoking, alcohol drinking, and physical exercise as adjusted variables. In Chinese non-diabetic women, dyslipidemia is independently associated with high levels of FPG; TG, HDL-C, and LDL-C are predictors of IFG independent of BMI and waist/hip ratio.
authors.affiliation: School of Nursing, Shanxi Medical University, Taiyuan, 030001, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Zheng
authors.forename: Yuzhen
authors.initials: Y
authors.lastname: Gao
authors.forename: Yuejuan
authors.initials: Y
authors.lastname: Jing
authors.forename: Xiaoshuang
authors.initials: X
authors.lastname: Zhou
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Shi
authors.forename: Yanhong
authors.initials: Y
authors.lastname: Li
authors.forename: Lihua
authors.initials: L
authors.lastname: Wang
authors.forename: Ruiying
authors.initials: R
authors.lastname: Wang
authors.forename: Maolian
authors.initials: M
authors.lastname: Li
authors.forename: Chuanshi
authors.initials: C
authors.lastname: Xiao
authors.forename: Yafeng
authors.initials: Y
authors.lastname: Li
authors.forename: Rongshan
authors.initials: R
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism*; D002681:China; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D015897:Comorbidity; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis / Q000453:epidemiology; D050171:Dyslipidemias / Q000175:diagnosis / Q000453:epidemiology; D005215:Fasting; D005260:Female; D006306:Health Surveys; D006801:Humans; D008055:Lipids / Q000097:blood*; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012727:Sex Characteristics; D012737:Sex Factors; D014280:Triglycerides / Q000097:blood; D014505:Urban Population / Q000706:statistics & numerical data*
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D008055:Lipids; D014280:Triglycerides