Investigating the association between sleep parameters and the weight status of children: night sleep duration matters

Cassandra L Pattinson; Simon S Smith; Sally L Staton; Stewart G Trost; Karen J Thorpe

doi:10.1016/j.sleh.2017.12.009

Investigating the association between sleep parameters and the weight status of children: night sleep duration matters

Sleep Health. 2018 Apr;4(2):147-153. doi: 10.1016/j.sleh.2017.12.009. Epub 2018 Feb 21.

Authors

Cassandra L Pattinson¹, Simon S Smith², Sally L Staton³, Stewart G Trost⁴, Karen J Thorpe³

Affiliations

¹ Institute for Health and Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, 62 Graham St, South Brisbane, Australia, 4101; School of Psychology and Counselling, Queensland University of Technology, 62 Graham St, South Brisbane, Australia, 4101; National Institute of Nursing Research, National Institutes of Health, 9000 Rockville Pyke, Bethesda, 20852. Electronic address: cassandra.pattinson@qut.edu.au.
² Institute of Social Science Research, The University of Queensland, 80 Meiers Rd, Indooroopilly, Australia, 4068.
³ Institute for Health and Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, 62 Graham St, South Brisbane, Australia, 4101; School of Psychology and Counselling, Queensland University of Technology, 62 Graham St, South Brisbane, Australia, 4101; Institute of Social Science Research, The University of Queensland, 80 Meiers Rd, Indooroopilly, Australia, 4068.
⁴ Institute for Health and Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, 62 Graham St, South Brisbane, Australia, 4101; School of Exercise and Nutrition Sciences, Centre for Children's Health Research, Queensland University of Technology, 62 Graham St, South Brisbane, Australia, 4101.

PMID: 29555127
DOI: 10.1016/j.sleh.2017.12.009

Abstract

Objectives: To examine the associations between sleep parameters and weight status in a large sample of preschool children.

Design: Cross-sectional survey data from the Effective Early Educational Experiences for children (E4Kids) study were analyzed.

Participants: 1111 children aged 3 to 6 years from Queensland and Victoria, Australia.

Measurements: General linear modeling, with adjustment for significant control variables, assessed the impact of night sleep duration, total sleep duration, napping frequency, sleep timing (onset, offset and midpoint), and severity of sleep problems on standardized body mass index (BMI z score). General linear modeling was conducted for the total sample and then separately by sex.

Results: For the total sample, there was a significant association between short sleep duration (≤10 hours) and increased BMI z score. No other sleep parameters were associated with BMI z score in this sample. Analyses by sex revealed that, among girls, there were no associations between any sleep parameter and BMI z score. However, among boys, short night sleep duration and napping frequency were both significantly associated with weight status even after adjustment for controls.

Conclusion: Night sleep duration is a consistent independent predictor of body mass in young children. These results identify a complex relationship between sleep and body mass that implicates sex. Potential mechanisms that might explain sex differences warrant further investigation.

Keywords: Australia; Body mass index; Preschool children; Sex; Sleep.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Body Mass Index*
Body Weight*
Child
Child, Preschool
Cross-Sectional Studies
Female
Humans
Male
Pediatric Obesity / epidemiology*
Queensland / epidemiology
Sex Distribution
Sleep*
Time Factors
Victoria / epidemiology