1. [Prevalence and risk factors for dyslipidemia in diabetics with overweight or obesity]
- Author
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Jiao, Wang, Ru-yi, Zhang, Rong-ping, Chen, Li-shu, Chen, Shao-da, Lin, Gan-xiong, Liang, Bao-chun, Hu, Zhi-zhang, Zhu, Yu-lin, Wang, Li, Yan, Jian-cai, Lin, Yan-bing, Li, and De-hong, Cai
- Subjects
Adult ,Aged, 80 and over ,Male ,China ,Hypercholesterolemia ,Hyperlipidemias ,Middle Aged ,Overweight ,Lipids ,Young Adult ,Diabetes Mellitus, Type 2 ,Risk Factors ,Prevalence ,Humans ,Female ,Obesity ,Aged - Abstract
To explore the prevalence and risk factors for dyslipidemia in diabetics with overweight or obesity.Diabetics with overweight or obesity were recruited from 62 tertiary and secondary hospitals in Guangdong Province between August 2011 and March 2012. Dyslipidemia was diagnosed as total cholesterol (TC) ≥ 5.7 mmol/L or triglycerides (TG) ≥ 1.7 mmol/L or low-density-lipoprotein cholesterol (LDL-C) ≥ 3.6 mmol/L or high-density-lipoprotein cholesterol (HDL-C)1.29 mmol/L in females or HDL-C1.03 mmol/L in males. Binary Logistic regression was used to assess the associations between dyslipidemia and associated risk factors.Dyslipidemia was detected in 3160/3593 (87.9%) diabetics with overweight or obesity. And the prevalence of hypertriglyceridemia, low blood HDL-C, hypercholesterolemia and high blood LDL-C was 52.5% (1888/3593) , 54.1% (1945/3593), 33.1% (1188/3593) and 27.4% (985/3593) respectively. Among those with dyslipidemia, patients with simple and mixed dyslipidemia accounted for 34.1% and 53.9% respectively. In binary Logistic regression analysis, the presence of dyslipidemia were associated with female gender (OR = 1.593, 95%CI 1.233-2.057), hemoglobinA1c(HbA1c) (OR = 1.120, 95%CI 1.054-1.191), body mass index (OR = 1.084, 95%CI 1.022-1.150), hypertension (OR = 1.331, 95%CI 1.033-1.714), history of diabetes (OR = 1.586, 95%CI 1.186-2.120) and hyperuricacidemia (OR = 2.270, 95%CI 1.642-3.138).The prevalence of dyslipidemia is quite high in diabetics with overweight or obesity. The controls of blood pressure, serum uric acid level, blood glucose and body weight may reduce the prevalence of dyslipidemia, prevent and delay the development of cardiovascular complications and reduce the mortality of diabetics with overweight or obesity.
- Published
- 2013