Evidence map›Paper›PMID 40917573›Full record

ArticleSleep advances : a journal of the Sleep Research Society2025

Associations between a novel measure of sleep health and cognitive functioning in middle childhood: a crosssectional Environmental Influences on Child Health Outcomes cohort study.

Joshua Marchant, Matthew Ferrell, Yingjia Wei, Kelly Baron, Courtney K Blackwell, Anat Sigal, Sarah Geiger, Susan L Schantz, Tina Hartert, Rachel S Kelly and 7 more

Abstract read
In one paragraph

Article in Sleep advances : a journal of the Sleep Research Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Joshua MarchantDepartment of Pediatrics, University of Utah, Salt Lake City, UT, United States.
Matthew FerrellDepartment of Pediatrics, University of Utah, Salt Lake City, UT, United States.
Yingjia WeiDepartment of Pediatrics, University of Utah, Salt Lake City, UT, United States.
Kelly BaronDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-3583-5812
Courtney K BlackwellFeinberg School of Medicine, Northwestern University, Evanston, IL, United States.
Anat SigalDepartment of Pediatrics, Hackensack University Medical Center, Hackensack, NJ, United States.
Sarah GeigerCommunity Health Program and Beckman Institute, University of Illinois Urbana-Champaign, Champaign, IL, United States.
Susan L SchantzComparative Biosciences Program and Beckman Institute, University of Illinois Urbana-Champaign, Champaign, IL, United States.
Tina HartertDepartment of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, United States.
Rachel S KellyChanning Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0003-3023-1822
Hooman MirzakhaniChanning Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2290-4436
Amy ElliottDepartment of Pediatrics, Avera Research Institute, Sioux Falls, SD, United States.
Jody GanibanDepartment of Psychological and Behavioral Sciences, George Washington University, Washington, DC, United States.
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO, United States.ORCID https://orcid.org/0000-0001-9514-8929
Jonika HashDepartment of Child, Family, and Population Health, University of Washington, Seattle, WA, United States.
Joseph B StanfordDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-9932-3947
ECHO Cohort Consortium

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Linda S Adair, Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
Mount Sinai ECHO site for Perinatal Environment and Development StudiesUH3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2018 to 2026
$54.1M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Prenatal and Early Childhood Pathways To Health:  An Integrated Model of Chemical and Social Exposures, Biological Mechanisms, and Sex-Specific Effects on Neurodevelopment and Respiratory OutcomesUH3OD023271 · OD · UNIVERSITY OF WASHINGTON · PI BUSH, NICOLE RENEE, KARR, CATHERINE J · 2018 to 2022
$37.3M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
ECHO Laboratory Core at Vanderbilt for Integrated Sample Biobanking and ProcessingU24OD035523 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Suman Ranjan Das, NATASHA Bassam HALASA · 2023 to 2026
$32.8M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TEITELBAUM, SUSAN L · 2015 to 2025
$26.4M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
Early Life Stress and the Environmental Origins of Disease: a Population-based Prospective Longitudinal Study of Children in Rural Poverty (ECHO)UH3OD023332 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KOPP, LISA MICHELLE, SWINGLER, MARGARET M. · 2018 to 2022
$22.7M
NIAID NIH HHS U19 AI104317NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30 ES013508NIEHS NIH HHS U24 ES026539NIEHS NIH HHS U2C ES026533NIEHS NIH HHS U2C ES026542NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIEHS NIH HHS U2C ES030851NIEHS NIH HHS U2C ES030857NIEHS NIH HHS U2C ES030859NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U24 OD035523NIH HHS U2C OD023375NIH HHS UG3 OD023249NIH HHS UG3 OD035508NIH HHS UG3 OD035509NIH HHS UG3 OD035513NIH HHS UG3 OD035516NIH HHS UG3 OD035517NIH HHS UG3 OD035518NIH HHS UG3 OD035519NIH HHS UG3 OD035521NIH HHS UG3 OD035526NIH HHS UG3 OD035527NIH HHS UG3 OD035528NIH HHS UG3 OD035529NIH HHS UG3 OD035532NIH HHS UG3 OD035533NIH HHS UG3 OD035536NIH HHS UG3 OD035537NIH HHS UG3 OD035540NIH HHS UG3 OD035542NIH HHS UG3 OD035543NIH HHS UG3 OD035544NIH HHS UG3 OD035546NIH HHS UG3 OD035550NIH HHS UH3 OD023249NIH HHS UH3 OD023268NIH HHS UH3 OD023271NIH HHS UH3 OD023286NIH HHS UH3 OD023287NIH HHS UH3 OD023318NIH HHS UH3 OD023320NIH HHS UH3 OD023328NIH HHS UH3 OD023332NIH HHS UH3 OD023337NIH HHS UH3 OD023347NIH HHS UH3 OD035516NIH HHS UH3 OD035518NIH HHS UH3 OD035543
6 · The paper itself

Abstract

Study Objectives: Research linking children's sleep to cognitive outcomes is inconsistent and has largely focused on one aspect of sleep, such as duration, rather than measuring multiple dimensions of sleep health. We hypothesized that children's sleep health would be positively associated with inhibitory control and cognitive functioning. Method: We cross-sectionally assessed 1595 participants (ages 7-11) from the Environmental influences on Child Health Outcomes cohort using the NIH Toolbox Cognition Battery, Environmental influences on Child Health Outcomes Sleep Health of Children and Adolescents questionnaire, and Patient Reported Outcome Measurement Information System Sleep Disturbance/Sleep-related Impairment instruments. We created a novel scale measuring sleep health using dichotomous "good-bad" cutoffs for sleep duration, timing, latency, satisfaction, and alertness. We used generalized estimating equations and random forest models to examine associations between sleep health and inhibitory control, working memory, processing speed, cognitive flexibility, episodic memory, reading decoding, and receptive vocabulary. Results: Sleep health did not have statistically significant associations with any aspect of cognitive functioning. Notably, over 75 per cent of our sample had good sleep health. Conclusions: This study assessed sleep health as a multi-faceted construct, distinguishing between "good" and "poor" sleep health across several domains. The absence of statistically significant associations between sleep health and cognitive functioning suggests children's cognitive functioning may not be cross-sectionally related to multidimensional sleep health measures. Experimentally manipulating key sleep domains such as duration or timing (as done in prior research) may be more robust. Future research might benefit from examining the cumulative impact of poor sleep health over time.

Indexed as

cognitive functioninginhibitory controlmiddle childhoodsleep healthworking memory

Identifiers

PMID40917573
PMCPMC12413863

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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 OpenQuestion graph.