Evidence map›Paper›PMID 41733845›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2026

Who's counting? Discrepancies between caregiver-reported, youth-reported, and Fitbit sleep in the ABCD study.

Emily Feldman, Amanda Bates, Jessica Souhala, Danica Slavish

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In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Emily FeldmanUniversity of North Texas, Denton, TX, USA. emilyfeldman@my.unt.edu.ORCID http://orcid.org/0009-0006-8818-0270
Amanda BatesUniversity of North Texas, Denton, TX, USA.
Jessica SouhalaUniversity of North Texas, Denton, TX, USA.
Danica SlavishUniversity of North Texas, Denton, TX, USA.

Funding

NIH HHS U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147
6 · The paper itself

Abstract

objectivesYouth sleep is commonly measured through caregiver reports, youth self-reports, and more objective tools such as Fitbits. However, discrepancies between methods raise concerns about accuracy and the best approach for assessing youth sleep patterns. Few studies compare all three approaches, and little is known about how caregiver factors contribute to these discrepancies. This study examined agreement across caregiver-, youth-, and Fitbit-measured sleep and evaluates how demographic and family factors influence these discrepancies.

methodsData were drawn from participants who completed sleep-related measures at the 2-year follow-up in the ABCD Study (N = 4,328). Sleep duration was measured via Fitbit and youth and caregiver reports. Sleep quality was assessed using youth and caregiver reports.

resultsCorrelations between sleep measures were significant but modest (rs = 0.13 to 0.30). Intraclass correlation coefficients indicated poor reliability across measurement techniques (ICC = 0.06 to 0.18). Both caregivers and youth overestimated sleep compared to Fitbit by 1.25 and 1.67 h, respectively. Fitbit-caregiver discrepancies were lower for caregivers with less education, female youth, and Latine non-White youth, but youth-caregiver discrepancies were higher in families with less-educated caregivers, lower income, lower caregiver monitoring, and NHL Black youth.

conclusionAnalyses demonstrate poor alignment between caregiver-, youth-, and Fitbit-based sleep measures, suggesting these tools capture different aspects of the sleep experience. Sociodemographic factors differentially predicted measurement disagreement based on method comparison, with greater caregiver monitoring associated with better youth-caregiver alignment. Findings support integrating wearable, caregiver, and youth reports within a family-centered framework for pediatric sleep research and care.

Indexed as

CaregiversSelf ReportSleepAdolescentChildFemaleHumansMaleReproducibility of ResultsSleep DurationSleep QualityCaregiverChildFitbitParental monitoringSelf-reportSleepSleep duration

Identifiers

PMID41733845
PMCPMC12995026

What Socratic holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.