Literature DB >> 18063093

Insulin resistance and depressive symptoms in middle-aged and elderly Chinese: findings from the Nutrition and Health of Aging Population in China Study.

An Pan1, Xingwang Ye, Oscar H Franco, Huaixing Li, Zhijie Yu, Shurong Zou, Zheng Zhang, Shufang Jiao, Xu Lin.   

Abstract

BACKGROUND: Depression is associated with an increased risk of incident diabetes, and insulin resistance is thought to be the underlying link between them. Nevertheless, only a few studies have explored the association between insulin resistance and depression with contradictory results, and none have been conducted in Chinese populations.
METHODS: We aimed to determine the association between insulin resistance and depressive symptoms among middle-aged and elderly Chinese using data from the Nutrition and Health of Aging Population in China Study, a population-based cross-sectional study conducted in 2005 in China. Participants included 3285 community residents aged 50-70 years. Depressive symptoms were defined as a Center for Epidemiological Studies of Depression Scale (CES-D) score of 16 or higher. Insulin resistance was calculated using the updated homeostasis model assessment (HOMA2-IR) methods.
RESULTS: Value of HOMA2-IR was significantly higher in participants with depressive symptoms (0.284 vs. 0.261, P=0.008), even after adjustment for various confounding factors in the regression model (0.311 vs. 0.291, P=0.026). Logistical regression analyses showed that participants with depressive symptoms had a higher risk of having insulin resistance (defined as in the top quartile of HOMA2-IR values, odds ratio=1.54, 95% confidence intervals=1.17-2.04). LIMITATIONS: Due to the cross-sectional study design, causal relation remains unknown.
CONCLUSIONS: The present study found positive associations between depressive symptoms and insulin resistance among Chinese populations. Further prospective studies are needed to validate the results and find the temporal and causal relation between them.

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Mesh:

Year:  2007        PMID: 18063093     DOI: 10.1016/j.jad.2007.11.002

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  27 in total

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