Abstract
Sleep problems and attention deficit hyperactivity disorder (ADHD) are interrelated during childhood and preadolescence. The objective of this work is assessing if sleep problems at ages 8–9 represent an alarm sign for presenting ADHD problems at ages 10–11 in three cohorts from INMA Study. Participants were 1244 children from Gipuzkoa, Sabadell, and Valencia cohorts. Sleep problems were assessed (ages 8–9) with the sleep items of the Child’s Behaviour Checklist (CBCL), and ADHD problems were collected through the Conner’s Parent Rating Scales-Revised: Short Form (CPRS-R:S) (age 10–11). Minimally and fully adjusted negative binomial models were fitted for each CPRS-R:S scale. Linearity of the relationship was assessed with generalized additive models (cubic smoothing splines with 2, 3, and 4 knots). For sensitivity analyses, children with previous symptoms, those born preterm and small for gestational age, and cases with extreme values, were excluded. Sleep problems presented IRR (95% CI) of 1.14 (1.10–1.19), 1.20 (1.14–1.26), 1.18 (1.11–1.25), and 1.18 (1.13–1.23) for opposition, inattention, hyperactivity, and ADHD scales, respectively. Fully adjusted models slightly decreased the IRR, but the association remained similar and significant. Sensitivity analyses showed similar results to fully adjusted models with only hyperactivity shown a slight decrease on significance (p = 0.051) when ADHD cases at age 9 were excluded. Conclusion: Sleep problems are an alarm sign for later neurodevelopment problems such as ADHD. Healthcare systems could take advantage implementing policies to pay special attention on the sleep habits and sleep hygiene. This could contribute to add evidence to public health programmes such as the Healthy Child Programme.
Original language | English |
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Pages (from-to) | 5211-5222 |
Number of pages | 12 |
Journal | European Journal of Pediatrics |
Volume | 182 |
Issue number | 11 |
Early online date | 18 Sept 2023 |
DOIs | |
Publication status | Published - Nov 2023 |
Bibliographical note
Funding Information:Funding for open access charge: CRUE-Universitat Jaume I. This study was funded by Grants from UE (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5–1). EU Commission (261357, 308333, 603794 and 634453). Margarita Salas Grant MS21-125 and co-funded by European Union- Next Generation EU and Ministerio de Universidades. Spain: ISCIII (Red INMA G03/176, CB06/02/0041; FIS-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI04/1436, PI05/1079, PI05/1052, PI06/0867, PI06/1213, PI07/0314, PI09/00090, PI09/02647, PI08/1151, PI11/01007, PI11/02591, PI11/02038, PI12/01890,PI13/1944, PI13/2032, PI13/02187, PI14/00891, PI14/01687, PI15/00118, PI16/1288, PI16/00261, PI17/00663, PI17/01340, PI18/00547, FIS-PI18/01237, and PI18/01142 incl. FEDER funds; Miguel Servet-FEDER CP11/00178, CP13/00054, CP15/00025, and CPII16/00051, CP16/00128, CP16/00118, CPII18/00018), CIBERESP. Spanish Ministry of Economy and Competitiveness (SAF2012-32991 incl. FEDER funds). Spanish Ministry of Science and Innovation and the State Research Agency through the “Centro de Excelencia Severo Ochoa 2019–2023” Program (CEX2018-000806-S). France: Agence Nationale de Securite Sanitaire de l’Alimentation de l’Environnement et du Travail (1262C0010; EST-2016 RF-21). Comunitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, and UGP-15-249), and Alicia Koplowitz Foundation 2017. Catalunya: Generalitat de Catalunya-CIRIT 1999SGR 00241, Generalitat de Catalunya-AGAUR (2009 SGR 501, 2014 SGR 822), Fundació La marató de TV3 (090430). Generalitat de Catalunya through the CERCA Program. Basque Country: Department of Health of the Basque Government (2005111093, 2009111069, 2013111089 and 2015111065), and the Provincial Government of Gipuzkoa (DFG06/002, DFG08/001 and DFG15/221) and annual agreements with the municipalities of the study area (Zumarraga, Urretxu, Legazpi, Azkoitia y Azpeitia y Beasain).
Publisher Copyright:
© 2023, The Author(s).