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Published on: October 2, 2019
Group-based sleep trajectories in children and adolescents: A systematic review
Yuhang Wang1, Buqun Li1, Chenggang Zhang1
1Department of Sociology, Tsinghua University, Beijing, China.
Insights
This review of childhood sleep patterns reveals distinct developmental trajectories. Adverse sleep patterns in children are linked to significant health risks, highlighting the need for targeted interventions.
Area of Science:
- Developmental Psychology
- Pediatric Sleep Medicine
- Public Health
Background:
- Sleep is fundamental for child health and development.
- Sleep patterns evolve throughout childhood and adolescence.
- Individual differences in sleep trajectories exist.
Purpose of the Study:
- To systematically review studies using latent trajectory modeling for child and adolescent sleep.
- To identify common sleep trajectories (duration, problems, behaviors) in individuals aged 0-18.
- To summarize associated determinants and health outcomes of these sleep trajectories.
Main Methods:
- Systematic literature search across major databases (PubMed, Embase, CENTRAL, PsycINFO, Web of Science).
- Inclusion of 36 articles with good or fair methodological quality using latent trajectory modeling.
- Analysis of sleep dimensions including duration, general/specific sleep problems, and bed-sharing.
Main Results:
- Most studies identified 3-4 distinct sleep trajectories for various sleep dimensions.
- Sleep duration trajectories converged in early childhood; specific sleep problems showed consistent vs. fluctuating patterns.
- Key determinants included lower socioeconomic status, maternal depression, and night feeding; adverse trajectories correlated with obesity, immunity issues, neurological problems, and behavioral symptoms.
Conclusions:
- Childhood sleep trajectories are diverse and linked to significant health risks.
- Lower socioeconomic status and maternal mental health are critical determinants.
- Future research should focus on early life sleep, objective measures, and experimental designs to establish causality and inform interventions.
Abstract:
Sleep is crucial for health and development. Evidence indicates that sleep changes over time and distinct subgroups may experience different longitudinal patterns. This study systematically reviewed the studies that used latent trajectory modeling to investigate sleep trajectories of children and adolescents aged 0-18 years, and summarized the associated determinants and health-related outcomes. We searched PubMed, Embase, CENTRAL, PsycINFO, and Web of Science, identifying 46 articles that met our criteria. To ensure the reliability of the review, only studies rated as good or fair in terms of methodological quality were included, resulting in a total of 36 articles. Group-based trajectories were identified on several sleep dimensions (i.e., sleep duration, general and specific sleep problems, and bed-sharing behavior) and three or four trajectories were reported in most studies. There was a convergence trend across sleep duration trajectories during the first six years of life. Studies on specific sleep problem (i.e., insomnia, night-waking, and sleep-onset difficulties) typically identified two trajectories: consistent, minimal symptoms or chronic yet fluctuating symptoms. Lower socioeconomic status, maternal depression, and night feeding behaviors were the most frequently reported determinants of sleep trajectories. Membership in a group with certain adverse patterns (e.g., persistent short sleep duration) was associated with increased risks of multiple negative health-related conditions, such as obesity, compromised immunity, neurological problems, substance use, or internalizing/externalizing symptoms. Generally, there is potential to improve the quality of studies in this field. Causality is hard to be inferred within the current body of literature. Future studies could emphasize early life sleep, incorporate more assessment timepoints, use objective measures, and employ experimental design to better understand changes of and mechanisms behind the various sleep trajectories and guide targeted interventions for at-risk subpopulations.
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