Literature DB >> 21940204

Short sleep duration is associated with insulin resistance independent of adiposity in Chinese adult twins.

Rong Liu1, Phyllis C Zee, Ronald D Chervin, Lester M Arguelles, Jennafer Birne, Shanchun Zhang, Katherine Kaufer Christoffel, Wendy J Brickman, Donald Zimmerman, Binyan Wang, Guoying Wang, Xiping Xu, Xiaobin Wang.   

Abstract

OBJECTIVE: To investigate the association between sleep duration and insulin resistance in rural Chinese adults and examine whether any such associations are independent of adiposity.
METHODS: This is a cross-sectional analysis of 854 men and 640 women aged 20 to 70 years from the Anqing Twin Cohort. The following measures were obtained for each subject: Body mass index (BMI) and percentage of trunk fat (%TF), fasting plasma glucose, homeostatic model assessment of insulin resistance index (HOMA-IR), self-reported sleep duration and measures of snoring and sleep disturbance from the Pittsburgh Sleep Quality Indices (PSQI) questionnaire were modified for a Chinese population. Multivariate linear regressions were applied to examine the association of sleep duration with HOMA-IR, with and without adjustment for adiposity variables, along with other relevant covariates.
RESULTS: In this sample of relatively lean rural Chinese adults, short sleep duration was associated with HOMA-IR in women but not in men. In women, short (≤ 7 h/night) sleep duration was associated with a higher HOMA-IR (p=0.003) compared with normal sleep duration (>7 to ≤ 8 h/night) after adjustment for all the covariates except adiposity. Further adjustment for BMI or %TF attenuated the sleep-HOMA-IR association, but the association remained significant upon adjustment for BMI (p=0.013); and upon adjustment for %TF (p=0.026). Long sleep duration (> 8 h/night) was not significantly associated with HOMA-IR.
CONCLUSION: In this rural Chinese cohort, short sleep duration is independently associated with increased insulin resistance among women only, even after adjusting for adiposity and other potential confounders. Copyright
© 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21940204      PMCID: PMC3210935          DOI: 10.1016/j.sleep.2011.04.006

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  30 in total

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