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Association between sleep parameters and cognitive function in drug-naïve children with attention-deficit hyperactivity disorder: a polysomnographic study

Authors :
Seung-Chul Hong
Jong-Hyun Jeong
Hyun Kook Lim
Tae-Won Kim
Ho-Jun Seo
Jin-Hee Han
Yoo Hyun Um
Source :
Sleep Medicine. 21:165-170
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Objective Sleep problems are common among patients with attention-deficit hyperactivity disorder (ADHD), and are considered major causes of behavioral and cognitive dysfunction in ADHD patients. In the present study, we investigated the relationship between sleep parameters and cognitive function in drug-naive children with ADHD. Methods Twenty-eight patients were recruited to participate in the study, and a polysomnography was used to measure sleep parameters of the subjects. Cognitive measurements were collected, utilizing the Wechsler Intelligence Scale for Children-III (WISC-III), and the Matching Familiar Figure Test for Korean Children (MFFT-KC), while behavioral characteristics of the subjects were assessed using Conners' Global Index-Parent version (CGI-P). Descriptive statistics were calculated for demographic data, sleep parameters, and neurocognitive characteristics of ADHD patients. Spearman's correlation analyses were performed to determine the association between sleep parameters and neurocognitive measures. Moreover, multiple regression analyses were used to identify the best predictors of cognitive function among the various sleep parameters. Results The regression analyses revealed several meaningful correlations, suggesting that slow wave sleep, stage 2 sleep, REM sleep, and limb movement index with arousals (LMAs) as predictors of cognitive function in ADHD patients. Conclusion Based on our study results, sleep parameters and cognitive function were closely associated in ADHD patients; further research should be directed at clarifying this crucial link.

Details

ISSN :
13899457
Volume :
21
Database :
OpenAIRE
Journal :
Sleep Medicine
Accession number :
edsair.doi.dedup.....2696a8c558240ba9d9742b84aaa57b6d