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Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain.

ABSTRACT: Insufficient sleep is associated with obesity, yet little is known about how repeated nights of insufficient sleep influence energy expenditure and balance. We studied 16 adults in a 14- to 15-d-long inpatient study and quantified effects of 5 d of insufficient sleep, equivalent to a work week, on energy expenditure and energy intake compared with adequate sleep. We found that insufficient sleep increased total daily energy expenditure by ?5%; however, energy intake--especially at night after dinner--was in excess of energy needed to maintain energy balance. Insufficient sleep led to 0.82 ± 0.47 kg (±SD) weight gain despite changes in hunger and satiety hormones ghrelin and leptin, and peptide YY, which signaled excess energy stores. Insufficient sleep delayed circadian melatonin phase and also led to an earlier circadian phase of wake time. Sex differences showed women, not men, maintained weight during adequate sleep, whereas insufficient sleep reduced dietary restraint and led to weight gain in women. Our findings suggest that increased food intake during insufficient sleep is a physiological adaptation to provide energy needed to sustain additional wakefulness; yet when food is easily accessible, intake surpasses that needed. We also found that transitioning from an insufficient to adequate/recovery sleep schedule decreased energy intake, especially of fats and carbohydrates, and led to -0.03 ± 0.50 kg weight loss. These findings provide evidence that sleep plays a key role in energy metabolism. Importantly, they demonstrate physiological and behavioral mechanisms by which insufficient sleep may contribute to overweight and obesity.

SUBMITTER: Markwald RR

PROVIDER: S-EPMC3619301 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain.

Markwald Rachel R RR Melanson Edward L EL Smith Mark R MR Higgins Janine J Perreault Leigh L Eckel Robert H RH Wright Kenneth P KP

Proceedings of the National Academy of Sciences of the United States of America 20130311 14

Insufficient sleep is associated with obesity, yet little is known about how repeated nights of insufficient sleep influence energy expenditure and balance. We studied 16 adults in a 14- to 15-d-long inpatient study and quantified effects of 5 d of insufficient sleep, equivalent to a work week, on energy expenditure and energy intake compared with adequate sleep. We found that insufficient sleep increased total daily energy expenditure by ∼5%; however, energy intake--especially at night after di ...[more]

PMID: 23479616

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Project description:BACKGROUND:There are significant variations in gestational weight gain, with many women gaining in excess of the Institute of Medicine guidelines. Unfortunately, efforts to improve appropriate gestational weight gain have had only limited success. To date, interventions have focused primarily on decreasing energy intake and/or increasing physical activity. Maternal resting energy expenditure, which comprises ?60% of total energy expenditure compared with the ?20% that comes from physical activity, may be an important consideration in understanding variations in gestational weight gain. OBJECTIVE:Our objective was to quantify the changes in resting energy expenditure during pregnancy and their relationship to gestational weight gain and body composition changes among healthy women. We hypothesized that greater gestational weight gain, and fat mass accrual in particular, are inversely related to variations in resting energy expenditure. STUDY DESIGN:We conducted a secondary analysis of a prospective cohort studied before conception and late pregnancy (34-36 weeks). Body composition (estimated using hydrodensitometry) and resting energy expenditure (estimated using indirect calorimetry) were measured. The relationship between the changes in resting energy expenditure and gestational weight gain and the change in fat mass and fat-free mass were quantified. Resting energy expenditure was expressed as kilocalories per kilogram of fat-free mass per day (kilocalories per kilogram of fat-free mass-1/day-1) and kilocalories per day. Correlations are reported as r. RESULTS:Among 51 women, preconception body mass index was 23.0 (4.7) kg/m2; gestational weight gain was 12.8 (4.7) kg. Preconception and late pregnancy resting energy expenditure (kilocalories per day) correlated positively with the change in fat-free mass (r = 0.37, P = .008; r = 0.51, P = .001). Late-pregnancy resting energy expenditure (kilocalories per kilogram of fat-free mass-1/day-1) was inversely associated with the change in fat mass (r = -0.34, P = .02) and gestational weight gain (r = -0.29, P = .04). From before pregnancy through late gestation, the increase in resting energy expenditure (kilocalories per day) correlated positively with the change in fat-free mass (r = 0.44, P = .002) and negatively with the change in fat mass (r = -0.27, P = .06). CONCLUSION:The change in resting energy expenditure from before conception through late gestation correlated positively with changes in fat-free mass but negatively with fat mass accrual. Women with smaller increases in resting energy expenditure across pregnancy had greater gestational weight gain, specifically more adipose tissue. These data suggest that resting energy expenditure is an important factor in gestational weight gain, particularly excess fat mass accrual. Future lifestyle intervention studies need to consider clinically feasible means of estimating resting energy expenditure and, in response, tailor nutrient intake and composition recommendations. Implementing and testing such interventions would be a novel approach to improve compliance with gestational weight gain guidelines.

Dataset Information

Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain.

Publications

Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain.

Similar Datasets

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