[Association between metabolic syndrome and chronic kidney disease and sex specific difference among community elder population in Beijing].

Abstract

OBJECTIVE:

To evaluate the association between metabolic syndrome (MS) and chronic kidney disease (CKD) and its sex specific difference among community elder population in China.

METHODS:

A population-based cross-sectional study was conducted among the old people aged ≥60 years and selected through a two stage cluster random sampling in a community in Beijing from September 2009 to Jun 2010. The standard international case definitions of MS (2009) and CKD (2012) were used.

RESULTS:

A total of 2 102 old people aged 60-95 years, including 848 males and 1 254 females, were surveyed. The prevalence of MS and CKD were 59.1% and 12.6% respectively. The prevalence of CKD increased from 2.9% to 18.3% with the increase of the forms of MS. Multivariate logistic regression analysis showed the ORs of MS for decreased renal function, albuminuria and CKD were 2.13 (95% CI: 1.39-2.26), 1.99 (95% CI: 1.41-2.82) and 2.03 (95% CI: 1.52-2.71) respectively, and the risk of CKD increased with the forms of MS. The impact of MS on decreased renal function was stronger in females (OR: 2.19 vs. 1.89), but the impact of MS on albuminuria was stronger in males (OR: 1.22 vs. 2.13).

CONCLUSION:

There was a strong and sex specific association between MS and CKD among the community elder population in Beijing.

• Authors: Miao Liu, Yao He, Lei Wu, Jianhua Wang, Shanshan Yang, Yiyan Wang, Di Zhang, Jing Zeng
• Journal: Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi (Zhonghua Liu Xing Bing Xue Za Zhi) Vol. 36 Issue 5 Pg. 411-5 (May 2015) ISSN: 0254-6450 [Print] China
• PMID: 26080624 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• Aged
• Albuminuria (epidemiology)
• China (epidemiology)
• Cross-Sectional Studies
• Data Collection
• Female
• Humans
• Male
• Metabolic Syndrome (epidemiology)
• Prevalence
• Renal Insufficiency, Chronic (epidemiology)
• Sex Distribution