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Published on: August 8, 2019
Cross-sectional sleep thresholds for optimal health and well-being in Australian 4-9-year-olds
Anna M H Price1, Jon Quach2, Melissa Wake3
1Murdoch Childrens Research Institute, Parkville, Victoria, Australia; Centre for Community Child Health, The Royal Children's Hospital, Parkville, Victoria, Australia.
Insights
Current sleep duration guidelines for children may be inaccurate. This study found no clear thresholds linking sleep duration to adverse health or learning outcomes in young children.
Area of Science:
- Child Health and Well-being
- Sleep Science
- Developmental Psychology
Background:
- Existing guidelines on children's sleep duration are based on limited empirical evidence.
- Understanding the relationship between sleep duration and child development is crucial for public health.
Purpose of the Study:
- To empirically determine sleep duration thresholds impacting child health, learning, quality of life, and weight.
- To assess the impact of child sleep duration on parental mental health.
Main Methods:
- Utilized Australian national time-diary data from the Longitudinal Study of Australian Children.
- Analyzed data from 3631 children aged 4-9 years, assessing sleep duration via parent-completed time-use diaries.
- Employed linear regression and fractional polynomial analyses to examine relationships between sleep duration and various health and developmental outcomes.
Main Results:
- Weak and inconsistent associations were found between sleep duration and child health, learning, and quality of life outcomes.
- No clear sleep duration thresholds were identified that consistently predicted adverse outcomes across different age groups.
- Parental mental health did not show a clear link to child sleep duration in this cohort.
Conclusions:
- Current recommendations for children's sleep duration may require re-evaluation.
- Factors beyond mere duration, such as sleep timing and consistency, might be more critical for optimal child development and well-being.
Aim:
Using national Australian time-diary data, we aimed to empirically determine sleep duration thresholds beyond which children have poorer health, learning, quality of life, and weight status and parents have poorer mental health.
Design/Setting:
Cross-sectional data from the first three waves of the Longitudinal Study of Australian Children.
Participants:
A nationally representative sample of 4983 4-5-year-olds, recruited in 2004 from the Australian Medicare database and followed biennially; 3631 had analyzable sleep information and a concurrent measure of health and well-being for at least one wave.
Exposure:
At each wave, a parent completed 24-h time-use diaries for one randomly selected weekday and one weekend day, including a "sleeping/napping" category.
Outcomes:
Parent-reported child mental health, health-related quality of life, and maternal/paternal mental health; teacher-reported child language, literacy, mathematical thinking, and approach to learning; and assessed child body mass index and girth.
Results:
Linear regression analyses revealed weak, inconsistent relationships between sleep duration and outcomes at every wave. For example, children with versus without psychosocial health-related quality of life problems slept slightly less at 6-7 years (adjusted mean difference 0.12 h; 95% confidence interval 0.01-0.22, p = 0.03), but not at 4-5 (0.00; -0.10 to 0.11, p = 1.0) or 8-9 years (0.09; -0.02 to 0.22, p = 0.1). Empirical exploration using fractional polynomials demonstrated no clear thresholds for sleep duration and any adverse outcome at any wave.
Conclusions:
Present guidelines in terms of children's short sleep duration appear misguided. Other parameters such as sleep timing may be more meaningful for understanding optimal child sleep.
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