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Updated: Jan 20, 2026

A Chronic Sleep Fragmentation Model using Vibrating Orbital Rotor to Induce Cognitive Deficit and Anxiety-Like Behavior in Young Wild-Type Mice
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Diversity in pediatric behavioral sleep intervention studies.

Amy J Schwichtenberg1, Emily A Abel1, Elizabeth Keys2

  • 1Department of Human Development and Family Studies, College of Health and Human Sciences, Purdue University, USA.

Sleep Medicine Reviews
|August 27, 2019
PubMed
Summary

Most studies on behavioral sleep interventions for children lack diversity. Future research must include diverse racial, ethnic, and socioeconomic backgrounds for broader applicability.

Keywords:
Behavioral interventionChildrenDiversityEthnicityExtinctionInfantPediatricsRaceSleep

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Area of Science:

  • Pediatric Sleep Medicine
  • Behavioral Science
  • Health Disparities Research

Background:

  • Behavioral sleep interventions for young children often show efficacy.
  • Generalizability of these interventions to diverse populations is understudied.

Purpose of the Study:

  • To systematically review the racial, ethnic, and socioeconomic diversity in published behavioral sleep intervention studies for young children.
  • To identify gaps in representation within this research area.

Main Methods:

  • Systematic literature search using PRISMA guidelines.
  • Analysis of 32 studies involving 5474 children.
  • Coding for participant race/ethnicity, parental education, and country of origin.

Main Results:

  • Information on race/ethnicity was available for only 60% of studies.
  • Participants were predominantly White and from White-majority countries.
  • Parental education data, an indicator of socioeconomic status, was reported in 66% of studies, often showing moderate to high attainment.

Conclusions:

  • Current behavioral sleep intervention research for children lacks sufficient racial, ethnic, and socioeconomic diversity.
  • There is a critical need to include a wider range of families in pediatric sleep intervention studies.
  • Future research should prioritize diverse samples to ensure interventions are effective and applicable across different backgrounds.