Literature DB >> 21950773

Sleep disturbances and insulin resistance.

E Van Cauter1.   

Abstract

The causes and risk factors of insulin resistance remain insufficiently understood. After taking into account the important roles of adiposity, age, sex and race/ethnicity, up to 50% of the individual variability in insulin resistance remains unexplained. In recent years, evidence has accumulated to support a role for sleep disturbances, including insufficient sleep, poor sleep quality and insomnia, and obstructive sleep apnoea, as independent risk factors for the development and exacerbation of insulin resistance. The present review summarizes the evidence. We will start with a brief introduction to sleep and its disorders and then examine in succession the role of the three major types of sleep disturbances of modern society, namely insufficient sleep, poor sleep quality and/or insomnia and obstructive sleep apnoea. Insulin resistance is a hallmark of the polycystic ovary syndrome, the most common endocrine pathology in women, and the last section of this review will discuss the role of obstructive sleep apnoea in the insulin resistance and metabolic disturbances of polycystic ovary syndrome.
© 2011 The Author. Diabetic Medicine © 2011 Diabetes UK.

Entities:  

Mesh:

Year:  2011        PMID: 21950773     DOI: 10.1111/j.1464-5491.2011.03459.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  36 in total

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4.  Strategic opportunities in sleep and circadian research: report of the Joint Task Force of the Sleep Research Society and American Academy of Sleep Medicine.

Authors:  Phyllis C Zee; M Safwan Badr; Clete Kushida; Janet M Mullington; Allan I Pack; Sairam Parthasarathy; Susan Redline; Ronald S Szymusiak; James K Walsh; Nathaniel F Watson
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6.  Habitual sleep duration associated with self-reported and objectively determined cardiometabolic risk factors.

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Review 8.  Circadian Rhythms in the Pathogenesis and Treatment of Fatty Liver Disease.

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Review 9.  Sleep Duration and Diabetes Risk: Population Trends and Potential Mechanisms.

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