Associations of weekday-to-weekend and day-to-day sleep differences with adiposity-related measures in children and adolescents: A systematic review and meta-analysis
Abstract
AIMS
Variability in sleep patterns between weekdays and weekends, along with day-to-day fluctuations, is prevalent among children and adolescents. These inconsistencies have been hypothesized to contribute to obesity within this demographic. However, a comprehensive synthesis of evidence remains lacking.
DATA SYNTHESIS
This systematic review and meta-analysis focused on observational studies investigating the associations between weekday-to-weekend and day-to-day sleep differences and adiposity-related measures. Five major databases were searched from their inception to April 2024. The effect sizes and corresponding 95 % confidence intervals were pooled using the profile likelihood model and the quality effect model. Thirty-seven studies, comprising 197873 participants, met the inclusion criteria for our meta-analysis. The profile likelihood model indicated that, compared to the lowest group, individuals in the highest group of social jetlag, defined as the difference in sleep-wake timing between weekdays and weekends, showed increased BMI (body mass index)-z score (β: 0.06, 95 % CI: 0.05, 0.07), percentage fat mass (β: 0.10, 95 % CI: 0.01, 0.39), and odds of overweight/obesity (odds ratio: 1.25, 95 % CI: 1.01, 1.53). However, after adjusting for study quality, these associations became non-significant. Additionally, weekday-to-weekend bedtime difference was significantly and positively associated with BMI-z (β: 0.07, 95 % CI: 0.01, 0.10). Elevated intradaily variability was…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 197,873 participants or records.
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