Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Aug 18;6(3):zpaf049.
doi: 10.1093/sleepadvances/zpaf049. eCollection 2025.

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

Collaborators, Affiliations

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 et al. Sleep Adv. .

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.

Keywords: cognitive functioning; inhibitory control; middle childhood; sleep health; working memory.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Distribution of NIH Toolbox (NIHTB) to sleep survey response collection time intervals (in months). NIHTB indicates National Institutes of Health Toolbox.
Figure 2
Figure 2
Flowchart of inclusion/exclusion criteria (self-report). ADHD indicates attention-deficit/hyperactivity disorder.
Figure 3
Figure 3
Flowchart of inclusion/exclusion criteria (parent report). ADHD indicates attention-deficit/hyperactivity disorder.
Figure 4
Figure 4
Variable importance map for each domain of sleep health and covariates with the composite cognitive score as the outcome variable for the self-report sample. MSE indicates mean standard error; OECD, Organization for Economic Co-operation and Development.
Figure 5
Figure 5
Variable importance map for each domain of sleep health and covariates with the composite cognitive score as the outcome variance for the parent-report sample. MSE indicates mean standard error; OECD, Organization for Economic Co-operation and Development.

References

    1. Astill RG, Van der Heijden KB, IJzendoorn MH, Van Someren EJW. Sleep, cognition, and behavioral problems in school-age children: a century of research meta-analyzed. Psychol Bull. 2012;138(6):1109–1138. 10.1037/a0028204 - DOI - PubMed
    1. Bub KL, Buckhalt JA, El-Sheikh M. Children’s sleep and cognitive performance: a cross-domain analysis of change over time. Dev Psychol. 2011;47(6):1504–1514. 10.1037/a0025535 - DOI - PMC - PubMed
    1. Kelly RJ, El-Sheikh M. Reciprocal relations between children’s sleep and their adjustment over time. Dev Psychol. 2013;50(4):1137–1147. 10.1037/a0034501 - DOI - PubMed
    1. Lovato N, Gradisar M. A meta-analysis and model of the relationship between sleep and depression in adolescents: recommendations for future research and clinical practice. Sleep Med Rev. 2014;18(6):521–529. 10.1016/j.smrv.2014.03.006 - DOI - PubMed
    1. Matthews KA, Pantesco EJM. Sleep characteristics and cardiovascular risk in children and adolescents: an enumerative review. Sleep Med. 2016;18:36–49. 10.1016/j.sleep.2015.06.004 - DOI - PMC - PubMed

Grants and funding