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EVIDENCE BASE UPDATE

Evidence Base Update on Assessing Sleep in Youth

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Pages 701-736 | Published online: 04 Nov 2020
 

Abstract

Background: Sleep is vital to youth well-being and when it becomes disturbed – whether due to environmental or individual factors – mental and physical health suffer. Sleep problems can also be a symptom of underlying mental health disorders. Assessing different components of sleep, including quality and hygiene, can be useful both for identifying mental health problems and for measuring changes in well-being over time. However, there are dozens of sleep-related measures for youth and it can be difficult to determine which to select for a specific research or clinical purpose. The goal of this review was to identify sleep-related measures for clinical and/or research use in youth mental health settings, and to update the evidence base on this topic. Method: We generated a list of candidate measures based on other reviews and searched in PubMed and PsycINFO using the terms “sleep” AND (measure OR assessment OR questionnaire) AND (psychometric OR reliability OR validity). Search results were limited to studies about children and adolescents (aged 2-17) published in English. Additional criteria for inclusion were that there had to be at least three publications reporting on the measure psychometrics in community or mental health populations. Sleep measures meeting these criteria were evaluated using the criteria set by De Los Reyes and Langer (2018). Results: Twenty-six measures, across four domains of sleep – insomnia, sleep hygiene, sleepiness, sleep quality – met inclusion criteria. Each measure had at least adequate clinical utility. No measure(s) emerged as superior across psychometric domains. Conclusion: Clinicians and researchers must evaluate sleep measures for each use case, as the intended purpose will dictate which measure is best. Future research is necessary to evaluate measure performance in transdiagnostic mental health populations, including youth with serious mental illness.

Acknowledgments

The authors would like to acknowledge Liat Gorelick and Lauren Yang for their assistance with the literature search for this review.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website.

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