2020
DOI: 10.3390/jcm9051544
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Associations of Sedentary Behaviour, Physical Activity, Cardiorespiratory Fitness and Body Composition with Risk of Sleep-Related Breathing Disorders in Children with Overweight/Obesity: A Cross-Sectional Study

Abstract: The aim of this study was to examine the associations of sedentary behaviour, physical activity, cardiorespiratory fitness (CRF), and body composition parameters with risk of sleep-related breathing disorders (SRBD) in children with overweight/obesity. One-hundred and nine children (10.0 ± 1.1 years old, 45 girls) with overweight (n = 27) and obesity (n = 82) were included. Television viewing time was self-reported by using the Spanish adaptation of the “Youth Activity Profile” (YAP) questionnaire. Sedentary t… Show more

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Cited by 9 publications
(8 citation statements)
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“…PA and sleep were measured using ActiGraph tri-axial accelerometers (ActiGraph, Pensacola, FL, USA), including wGT3X-BT and GT9X Link for children and adolescents, respectively. Both scientific-grade accelerometers are commonly used in the PA [23][24][25] and sleep [26,27] research and provide reliable and valid measures [28][29][30]. The participants wore the accelerometer on the non-dominant wrist for 24 h/day for 7 consecutive days, except when bathing, swimming, and performing personal hygiene.…”
Section: Physical Activity and Sleepmentioning
confidence: 99%
“…PA and sleep were measured using ActiGraph tri-axial accelerometers (ActiGraph, Pensacola, FL, USA), including wGT3X-BT and GT9X Link for children and adolescents, respectively. Both scientific-grade accelerometers are commonly used in the PA [23][24][25] and sleep [26,27] research and provide reliable and valid measures [28][29][30]. The participants wore the accelerometer on the non-dominant wrist for 24 h/day for 7 consecutive days, except when bathing, swimming, and performing personal hygiene.…”
Section: Physical Activity and Sleepmentioning
confidence: 99%
“…Of note, Latent Profile Analysis has been used to identify those with similar behaviours patterns, grouping them into classes [14]. Previous studies on children have used latent profile analysis to characterize sleep, PA, and SB cluster, for example [15,16], focusing on obesogenic-related outcomes [17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…The overall scale was calculated as the sum of the affirmative answers divided by 22. Occasional missing answers or responses of "I do not know" were discounted from the denominator when calculating these proportions [46]. Scores > 0.33 were considered suggestive of high risk for pediatric SDB [44,45].…”
Section: Sleep-disordered Breathingmentioning
confidence: 99%