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Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children

OBJECTIVE: To explore the correlation between sleep disorders and attention-deficit–hyperactivity disorder (ADHD) in children. METHODS: We studied 100 Chinese children (70 boys and 30 girls; mean age, 8.77 ± 2.39 years). Parents completed the Children's Sleep Disturbance Scale (SDSC) and the Sw...

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Autores principales: Yin, Huimei, Yang, Dong, Yang, Lin, Wu, Guangsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354977/
https://www.ncbi.nlm.nih.gov/pubmed/35935380
http://dx.doi.org/10.3389/fped.2022.919572
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author Yin, Huimei
Yang, Dong
Yang, Lin
Wu, Guangsheng
author_facet Yin, Huimei
Yang, Dong
Yang, Lin
Wu, Guangsheng
author_sort Yin, Huimei
collection PubMed
description OBJECTIVE: To explore the correlation between sleep disorders and attention-deficit–hyperactivity disorder (ADHD) in children. METHODS: We studied 100 Chinese children (70 boys and 30 girls; mean age, 8.77 ± 2.39 years). Parents completed the Children's Sleep Disturbance Scale (SDSC) and the Swanson Nolan and Pelham Version IV Scale (SNAP-IV) questionnaires. SNAP-IV and SDSC scores were compared in children with and without sleep disorders and ADHD. RESULTS: There were significant differences in SDSC scores, Arousal Disorder (AD) scores, and Sleep Breathing Disorder (SBD) scores between children with and without ADHD (P < 0.05). The sleep disorder group had higher SNAP-IV scores than the non-sleep disorder group (P < 0.05). Children with sleep disorders showed higher ADHD symptom values (inattention, hyperactivity/impulsivity, and oppositional defiance) than children without sleep disorders (P < 0.01). There was a moderate correlation between SDSC scores and SNAP-IV scores (r = 0.486, P < 0.05). Using SNAP-IV scores as the dependent variable, multiple linear regression analysis was applied, and a statistically significant effect of AD and Sleep–Wake Transition Disorder (SWTD) scores on SNAP-IV scores was found (P < 0.05). The area under the curve (95% CI) of the SDSC score for predicting sleep disorders with ADHD was 0.714 (0.606, 0.821; P = 0.0005). CONCLUSION: Children with ADHD are prone to sleep disorders. The higher the ADHD symptom score, the more sleeping problems. Sleep disorders can also cause or exacerbate ADHD symptoms, and the ADHD symptom score correlates with sleep disorder severity. We can reduce the severity of attention-deficit–hyperactivity in children with ADHD by improving their sleep with behavioral sleep interventions.
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spelling pubmed-93549772022-08-06 Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children Yin, Huimei Yang, Dong Yang, Lin Wu, Guangsheng Front Pediatr Pediatrics OBJECTIVE: To explore the correlation between sleep disorders and attention-deficit–hyperactivity disorder (ADHD) in children. METHODS: We studied 100 Chinese children (70 boys and 30 girls; mean age, 8.77 ± 2.39 years). Parents completed the Children's Sleep Disturbance Scale (SDSC) and the Swanson Nolan and Pelham Version IV Scale (SNAP-IV) questionnaires. SNAP-IV and SDSC scores were compared in children with and without sleep disorders and ADHD. RESULTS: There were significant differences in SDSC scores, Arousal Disorder (AD) scores, and Sleep Breathing Disorder (SBD) scores between children with and without ADHD (P < 0.05). The sleep disorder group had higher SNAP-IV scores than the non-sleep disorder group (P < 0.05). Children with sleep disorders showed higher ADHD symptom values (inattention, hyperactivity/impulsivity, and oppositional defiance) than children without sleep disorders (P < 0.01). There was a moderate correlation between SDSC scores and SNAP-IV scores (r = 0.486, P < 0.05). Using SNAP-IV scores as the dependent variable, multiple linear regression analysis was applied, and a statistically significant effect of AD and Sleep–Wake Transition Disorder (SWTD) scores on SNAP-IV scores was found (P < 0.05). The area under the curve (95% CI) of the SDSC score for predicting sleep disorders with ADHD was 0.714 (0.606, 0.821; P = 0.0005). CONCLUSION: Children with ADHD are prone to sleep disorders. The higher the ADHD symptom score, the more sleeping problems. Sleep disorders can also cause or exacerbate ADHD symptoms, and the ADHD symptom score correlates with sleep disorder severity. We can reduce the severity of attention-deficit–hyperactivity in children with ADHD by improving their sleep with behavioral sleep interventions. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9354977/ /pubmed/35935380 http://dx.doi.org/10.3389/fped.2022.919572 Text en Copyright © 2022 Yin, Yang, Yang and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Yin, Huimei
Yang, Dong
Yang, Lin
Wu, Guangsheng
Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children
title Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children
title_full Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children
title_fullStr Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children
title_full_unstemmed Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children
title_short Relationship between sleep disorders and attention-deficit–hyperactivity disorder in children
title_sort relationship between sleep disorders and attention-deficit–hyperactivity disorder in children
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354977/
https://www.ncbi.nlm.nih.gov/pubmed/35935380
http://dx.doi.org/10.3389/fped.2022.919572
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