Epidemiological status of metabolic syndrome and its correlation with renal damage in Shanghai Chongming rural areas
10.3760/cma.j.issn.1000-6699.2019.09.004
- VernacularTitle: 上海崇明农村地区代谢综合征流行现状及其与肾脏损害的相关性研究
- Author:
Jie YANG
1
;
Shuai LU
2
;
Hongxia GU
2
;
Qun SHI
2
;
Li QIN
1
Author Information
1. Department of Endocrinology, Xinhua Hospital, Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
2. Department of Endocrinology, Chongming Branch of Xinhua Hospital, Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 202150, China
- Publication Type:Journal Article
- Keywords:
Metabolic syndrome;
Chronic kidney disease;
Epidemiology
- From:
Chinese Journal of Endocrinology and Metabolism
2019;35(9):747-751
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the prevalence of metabolic syndrome in adults in Shanghai Chongming area and to analyze the relationship between metabolic syndrome and chronic kidney disease.
Methods:A total of 7 679 residents aged 30 years and over in Chongming District of Shanghai were randomly sampled and investigated by questionnaires, physical examinations, and laboratory examinations. The metabolic syndrome was diagnosed by the diagnostic criteria of metabolic syndrome according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes in 2017. According to the criteria of the International Society of Nephrology Working Group on Improving the Overall Prognosis of Kidney Diseases, estimated glomerular filration rate (eGFR)<60 ml·min-1·(1.73 m2)-1 was diagnosed as chronic kidney disease.
Results:The prevalence of metabolic syndrome was 38.61% in the total population. The prevalence of metabolic syndrome was 47.06% in males and 34.71% in females. Urinary albumin-creatinine ratio (ACR), eGFR, age, smoking, waist circumference, blood glucose, blood pressure, high density lipoprotein-cholesterol and triglyceride in metabolic syndrome group were significantly higher than those in non- metabolic syndrome group. With the increase of metabolic components, eGFR decreased, and ACR increased. According to logistic regression analysis, age, male, hyperglycemia, hypertension, hypertriglyceride were risk factors for eGFR. Male, hypertension, hyperglycemia, hypertriglyceride, central obesity, smoking history, lower education level were risk factors for ACR.
Conclusion:The number of metabolic components is related to renal damage. Male, hypertension, hyperglycemia, hypertriglyceride are risk factors for early renal damage.
