A new study has revealed that your weight and diet may help predict your sleep quality.
An individual’s body composition and caloric intake can influence time spent in specific sleep stages, according to the University of Pennsylvania research.
In the study, 36 healthy adults experienced two consecutive nights of 10 hours in bed per night at the Hospital of the University of Pennsylvania. Polysomnography, which records physiological changes that occur during sleep, was recorded on the second night. Body composition and resting energy expenditure were assessed on the morning following the first night of sleep. Food/drink intake was measured each day.
The Penn team found that body mass index (BMI), body fat percentage and resting energy expenditure were not significant predictors of sleep stage duration, but that overweight adults exhibited a higher percentage of time spent in the rapid-eye movement (REM) stage of sleep, when dreams typically occur and characterized by faster heart rate and breathing and less restorative sleep than in non-REM stages, than normal- weight adults.
The group also found that increased protein intake predicted less stage 2 sleep, the period when a person’s heart rate and breathing are relatively normal and his/her body temperature lowers slightly, and predicted more REM sleep.
“In a culture of increasing pressure to sacrifice sleep to maintain productivity, this research adds to the body of knowledge on how lifestyle behaviors may influence the quality of our sleep” said lead author Andrea M. Spaeth.
Future research is needed to study whether changing protein intake alters REM sleep duration and to find the biological mechanisms behind this relationship.
The study will be presented at SLEEP 2016, the 30th annual meeting of the Associated Professional Sleep Societies LLC.
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