Insomnia With Objective Short Sleep Duration Is Associated With Type 2 Diabetes A population-based study  

Oleh:

Vgontzas, Alexandros N. ; Duanping, Liao ; Pejovic, Slobodanka ; Calhoun, Susan

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Diabetes Care vol. 32 no. 11 (Nov. 2009), page 1980-1985.
Topik: insomnia; DIABETES; DIABETES MELLITUS; insomnia; Polysomnographic; cardiometabolic

Ketersediaan

Perpustakaan FK Nomor Panggil: D05.K.2009.03 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

OBJECTIVE : We examined the joint effects of insomnia and objective short sleep duration, the combination of which is associated with higher morbidity, on diabetes risk. RESEARCH DESIGN AND METHODS : A total of 1,741 men and women randomly selected from Central Pennsylvania were studied in the sleep laboratory. Insomnia was defined by a complaint of insomnia with duration of =1 year, whereas poor sleep was defined as a complaint of difficulty falling asleep, staying asleep, or early final awakening. Polysomnographic sleep duration was classified into three categories: =6 h of sleep (top 50% of the sample); 5–6 h (approximately third quartile of the sample); and =5 h (approximately the bottom quartile of the sample). Diabetes was defined either based on a fasting blood glucose >126 mg/dl or use of medication. In the logistic regression model, we simultaneously adjusted for age, race, sex, BMI, smoking, alcohol use, depression, sleep-disordered breathing, and periodic limb movement. RESULTS : Chronic insomnia but not poor sleep was associated with a higher risk for diabetes. Compared with the normal sleeping and =6 h sleep duration group, the highest risk of diabetes was in individuals with insomnia and =5 h sleep duration group (odds ratio [95% CI] 2.95 [1.2–7.0]) and in insomniacs who slept 5–6 h (2.07 [0.68–6.4]). CONCLUSIONS : Insomnia with short sleep duration is associated with increased odds of diabetes. Objective sleep duration may predict cardiometabolic morbidity of chronic insomnia, the medical impact of which has been underestimated.

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