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Associations between sleep opportunity, sleep problems, and social jetlag and toddlers' adiposity: A cross-sectional
Ana Duarte1, Silvana Martins2, Cláudia Augusto3
1School of Nursing, University of Minho, Braga, Portugal; UICISA:E, The Health Sciences Research Unit: Nursing, School of Nursing of Coimbra, Coimbra, Portugal; CIEnf, Research Centre in Nursing, School of Nursing, University of Minho, Braga, Portugal; CIEC, Research Centre on Child Studies, Institute of Education, University of Minho, Braga, Portugal.
Insights
Adequate nighttime sleep opportunity in toddlers is linked to lower Body Mass Index (BMI) percentile. Later bedtimes on weekends and weekdays, and social jetlag, were also associated with reduced adiposity indicators in young children.
Area of Science:
- Pediatrics
- Sleep Medicine
- Public Health
Background:
- Childhood adiposity is a growing public health concern.
- Sleep characteristics are increasingly recognized as potential modulators of adiposity.
- Understanding sleep's role in toddler adiposity is crucial for early intervention.
Purpose of the Study:
- To investigate the associations between sleep opportunity, sleep problems, and social jetlag with adiposity markers in toddlers.
- To analyze how different sleep parameters relate to Body Mass Index (BMI) percentile, weight-for-length/height, and waist-to-length/height.
Main Methods:
- Cross-sectional study of 344 toddlers (mean age 23.6 months).
- Adiposity assessed via measured length/height, weight, waist circumference, and calculated BMI and related indices.
- Sleep opportunity, bedtime, and social jetlag derived from parental reports and sleep midpoints.
- Generalized linear models used for statistical analysis, adjusting for covariates.
Main Results:
- Nighttime sleep opportunity on weekdays was inversely associated with BMI percentile.
- Later weekend bedtimes correlated with lower weight-for-length/height and waist-to-length/height.
- Later weekday bedtimes and social jetlag were associated with lower waist-to-length/height.
Conclusions:
- Sleep characteristics, including opportunity and timing, are associated with adiposity in toddlers.
- Findings suggest potential for sleep-focused interventions to manage early childhood adiposity.
- Further research is warranted to confirm these associations and inform lifestyle interventions.
Abstract:
This study aims to analyze the associations between sleep characteristics, including sleep opportunity, problems and social jetlag, and toddlers' adiposity. It is part of a larger research project involving 344 children (mean ± SD age of 23.6 ± 6.3 months). Children's length/height, weight and waist circumference were measured at childcare centers. Body Mass Index (BMI), weight-for-length/height, and waist-to-length/height were calculated and classified according to percentiles, serving as surrogates of adiposity. Sleep problems were evaluated through questionnaire. Sleep opportunity was reported by parents and defined as the difference between bedtime and wake-up time. Social jetlag was calculated based on sleep midpoints. Parental questionnaires provided sociodemographic characteristics. Total energy intake was determined from a two-day dietary record, and motor development was assessed using the Bayley-III scales. Generalized linear models were used in the analysis. We found that nighttime sleep opportunity on weekdays was inversely associated with BMI percentile (B = -5.57, 95 % CI -9.79 to -1.35), even with covariates included. Additionally, later bedtime on weekend days were associated with lower weight-for-length/height and waist-to-length/height (B = -4.16, 95 % CI -8.01 to -0.30, and B = -10.62, 95 % CI -15.38 to -5.87, respectively), even when adjusted for potential confounders. Later bedtime on weekdays was associated with lower waist-to-length/height (B = -8.85, 95 % CI -14.95 to -2.74). Social jetlag was associated with lower waist-to-length/height (B = -7.19, 95 % CI -13.47 to -0.90). Future research is needed to clarify these associations and to encourage lifestyle-based interventions aimed at optimizing sleep patterns within this age group.
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