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Updated: May 14, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Beyond sleep duration: distinct sleep dimensions are associated with obesity in children and adolescents
D C Jarrin1, J J McGrath, C L Drake
1Pediatric Public Health Psychology Laboratory, Department of Psychology, Concordia University, Montréal, Quebec, Canada.
Insights
Childhood obesity is linked to sleep, but not just duration. Sleep disturbances and patterns, beyond sleep duration, are key factors in childhood obesity risk. Further research into these distinct sleep dimensions is needed.
Area of Science:
- Pediatric Health
- Sleep Medicine
- Obesity Research
Background:
- Short sleep duration is a known risk factor for childhood obesity.
- Previous studies primarily focused on sleep duration, potentially overlooking other critical sleep dimensions.
- Understanding the multifaceted nature of sleep is crucial for elucidating its link to obesity.
Purpose of the Study:
- To investigate the independent associations of sleep dimensions (duration, disturbances, patterns) with childhood obesity.
- To determine if sleep disturbances and patterns are associated with obesity independently of sleep duration.
- To provide a more comprehensive understanding of the sleep-obesity link in children.
Main Methods:
- Study included 240 healthy children and adolescents (mean age 12.6 years).
- Anthropometric measures: waist/hip circumference, BMI Z-score, body fat percentage.
- Subjective sleep measures: sleep duration, disturbances, quality, and patterns (youth and parent reports).
Main Results:
- Larger adiposity measures correlated with poorer sleep quality, more sleep disturbances, and delayed sleep phase patterns.
- These associations remained significant after adjusting for covariates including sleep duration.
- Shorter sleep duration showed a significant link to obesity, but this was reduced after covariate adjustment.
Conclusions:
- Sleep dimensions beyond mere duration are more precise indicators of influences driving the sleep-obesity association.
- Distinct sleep dimensions may confer risk for childhood obesity.
- Future research should focus on understanding how these specific sleep dimensions contribute to obesity development.
Objective:
Short sleep duration is recognized as a significant risk factor in childhood obesity; however, the question as to how sleep contributes to the development of obesity remains largely unknown. The majority of pediatric studies have relied on sleep duration as the exclusive measure of sleep; this insular approach may be misleading given that sleep is a dynamic multidimensional construct beyond sleep duration, including sleep disturbances and patterns. Although these sleep dimensions partly overlap, it is necessary to determine their independent relation with obesity, which in turn, may inform a more comprehensive understanding of putative pathophysiological mechanisms linking sleep and obesity. The aim of the present study was to investigate whether sleep dimensions including sleep duration, disturbances, and patterns were individually associated with obesity, independent of multiple covariates. The second objective was to examine whether sleep disturbances and patterns were independently associated with obesity, after adjusting for sleep duration.
Methods:
Participants included 240 healthy children and adolescents (Mage=12.60, s.d.=1.98; 45.8% females). Anthropometric measures included measured waist and hip circumference, body mass index Z-score, and percent body fat. Subjective sleep measures included sleep duration, sleep disturbances, sleep quality, and sleep patterns from youth- and parental report.
Results:
Youth with larger adiposity and body composition measures reported poorer sleep quality (β avg=-0.14, P<0.01), more sleep disturbances (β avg=0.13, P<0.05), and showed a delayed sleep phase pattern (β avg=0.15, P<0.05), independent of age, sex, pubertal status, physical activity, screen time, socioeconomic status, and sleep duration. Shorter sleep duration was significantly associated with obesity; however, this link was attenuated after adjustment of covariates.
Conclusions:
The results suggest that sleep measures beyond duration may more precisely capture influences that drive the negative association between sleep and obesity, and thus, yield more robust associations. As such, future studies are needed to better understand how distinct sleep dimensions confer risk for childhood obesity.
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