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DOI 10.1111/cen.12734

Медицинская библиотека · Clinical endocrinology · 2015

Association between metabolic syndrome and mild cognitive impairment and its age difference in a Chinese community elderly population.

Liu Miao, He Yao, Jiang Bin, Wu Lei, Wang Jianghua, Yang Shanshan, Wang Yiyan

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

OBJECTIVE

To examine associations between metabolic syndrome (MetS) and its individual components with risk of mild cognitive impairment (MCI) among community elderly and explore the age difference.

DESIGN

Cross-sectional study.

SUBJECTS: About 2,102 aged 60 and older community residents in Beijing metropolitan area, China.

MEASUREMENTS: Cognitive function was assessed by Mini-Mental State Examination (MMSE). MetS was defined by the 2009 harmonizing definition. Overnight-fasting blood samples were obtained to measure biochemistry indicators.

RESULTS

The prevalence of MetS and MCI was 59·1% and 15·9%, respectively. After adjusting age, gender, other demographic factors, lifestyle variables and medication use, participants with MetS or its individual components are at significantly elevated risk for MCI. In terms of MMSE score, as the continuous dependent variable, the β (95% CI) of MetS was -0·68(-0·99, -0·37). For prevalence of MCI, as the dichotomy dependent variable, the odds ratio (OR) of Mets is 1·52 compared to control group (or baseline) with 95% confidence interval (CI) of 1·16 to 1·95. The multivariate association only showed significant results among participants aged less than 80 years old.

CONCLUSIONS

MetS is associated with worse cognitive function among younger elderly. Managing MetS, as well as its components, may contribute to control cognitive decline and reduce related disease and social burden.

Для цитирования: Liu Miao, He Yao, Jiang Bin, Wu Lei, Wang Jianghua, Yang Shanshan, Wang Yiyan. Association between metabolic syndrome and mild cognitive impairment and its age difference in a Chinese community elderly population.. Clinical endocrinology. 2015. DOI: 10.1111/cen.12734.

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