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Link to original content: https://pubmed.ncbi.nlm.nih.gov/16914506/
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. 2006 Nov 15;164(10):947-54.
doi: 10.1093/aje/kwj280. Epub 2006 Aug 16.

Association between reduced sleep and weight gain in women

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Association between reduced sleep and weight gain in women

Sanjay R Patel et al. Am J Epidemiol. .

Abstract

Physiologic studies suggest that sleep restriction has metabolic effects that predispose to weight gain. The authors investigated the association between self-reported usual sleep duration and subsequent weight gain in the Nurses' Health Study. The 68,183 women who reported habitual sleep duration in 1986 were followed for 16 years. In analyses adjusted for age and body mass index, women sleeping 5 hours or less gained 1.14 kg (95% confidence interval (CI): 0.49, 1.79) more than did those sleeping 7 hours over 16 years, and women sleeping 6 hours gained 0.71 kg (95% CI: 0.41, 1.00) more. The relative risks of a 15-kg weight gain were 1.32 (95% CI: 1.19, 1.47) and 1.12 (95% CI: 1.06, 1.19) for those sleeping 5 and 6 hours, respectively. The relative risks for incident obesity (body mass index: >30 kg/m(2)) were 1.15 (95% CI: 1.04, 1.26) and 1.06 (95% CI: 1.01, 1.11). These associations remained significant after inclusion of important covariates and were not affected by adjustment for physical activity or dietary consumption. These data suggest that short sleep duration is associated with a modest increase in future weight gain and incident obesity. Further research is needed to understand the mechanisms by which sleep duration may affect weight.

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Figures

FIGURE 1
FIGURE 1
Mean age-adjusted weight of the Nurses’ Health Study cohort from 1986 to 2002 as a function of habitual sleep duration in 1986.
FIGURE 2
FIGURE 2
Hazard ratio associated with 5 hours or less of sleep relative to 7 hours of sleep in the Nurses’ Health Study cohort from 1986 to 2002 for major weight gain defined as a 10-, 15-, 20-, or 25-kg increase over baseline weight in 1986. The fully adjusted models were adjusted for age, baseline body mass index (BMI), smoking, alcohol, caffeine, spousal level of education, medication use, menopausal status, snoring status, shift-working history, physical activity, total caloric intake, dietary fiber, ratio of polyunsaturated to saturated fat, trans-fat, and servings of fruits and vegetables. Bars, 95% confidence interval.

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