TY - JOUR
T1 - Associations between a novel measure of sleep health and cognitive functioning in middle childhood
T2 - a crosssectional Environmental Influences on Child Health Outcomes cohort study
AU - ECHO Cohort Consortium
AU - Marchant, Joshua
AU - Ferrell, Matthew
AU - Wei, Yingjia
AU - Baron, Kelly
AU - Blackwell, Courtney K.
AU - Sigal, Anat
AU - Geiger, Sarah
AU - Schantz, Susan L.
AU - Hartert, Tina
AU - Kelly, Rachel S.
AU - Mirzakhani, Hooman
AU - Elliott, Amy
AU - Ganiban, Jody
AU - Dabelea, Dana
AU - Hash, Jonika
AU - Stanford, Joseph B.
AU - Smith, P. Brian
AU - Newby, L. Kristin
AU - Adair, Linda
AU - Jacobson, Lisa P.
AU - Catellier, Diane
AU - Mcgrath, Monica
AU - Douglas, Christian
AU - Duggal, Priya
AU - Knapp, Emily
AU - Kress, Amii
AU - Blackwell, Courtney K.
AU - Mansolf, Maxwell A.
AU - Lai, Jin Shei
AU - Ho, Emily
AU - Cella, David
AU - Gershon, Richard
AU - Macy, Michelle L.
AU - Das, Suman R.
AU - Freedman, Jane E.
AU - Mallal, Simon A.
AU - Mclean, John A.
AU - Shah, Ravi V.
AU - Shilts, Meghan H.
AU - Alshawabkeh, Akram N.
AU - Cordero, Jose F.
AU - Meeker, John
AU - Trasande, Leonardo
AU - Camargo, Carlos A.
AU - Hasegawa, Kohei
AU - Zhu, Zhaozhong
AU - Sullivan, Ashley F.
AU - Dabelea, Dana
AU - Neiderhiser, Jenae M.
AU - Newschaffer, Craig J.
N1 - Publisher Copyright:
© 2025 The Author(s).
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105015435959
UR - https://www.scopus.com/pages/publications/105015435959#tab=citedBy
U2 - 10.1093/sleepadvances/zpaf049
DO - 10.1093/sleepadvances/zpaf049
M3 - Article
C2 - 40917573
AN - SCOPUS:105015435959
SN - 2632-5012
VL - 6
JO - SLEEP Advances
JF - SLEEP Advances
IS - 3
M1 - zpaf049
ER -