2017
DOI: 10.1016/j.physbeh.2016.12.018
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Cardiometabolic risk is associated with the severity of sleep-disordered breathing in children with obesity

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Cited by 18 publications
(11 citation statements)
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“…In this context, studies have typically focused on the association between sleep quality and athletic performance or the relationship between sleep patterns and development of diseases and/or its progression [11][12][13]. However, few studies still seek to understand the impact of sleep patterns (duration and quality) on the parameters of perfor-mance during different incremental protocols among healthy subjects, as well as how fitness condition may influence sleep pattern [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…In this context, studies have typically focused on the association between sleep quality and athletic performance or the relationship between sleep patterns and development of diseases and/or its progression [11][12][13]. However, few studies still seek to understand the impact of sleep patterns (duration and quality) on the parameters of perfor-mance during different incremental protocols among healthy subjects, as well as how fitness condition may influence sleep pattern [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Another important limitation to consider remains the dichotomic nature of the actually available diagnosis of the MS [19]. Indeed, as previously pointed out in adults as well as in youth, using strict thresholds to determine the presence of each parameter of MS masks the physiologically continuous nature of these metabolic complications [18]. It would have been also interesting to evaluate the effect of the different combinations of components of the MS on energy intake and appetite sensations, and to question which parameters might be mainly involved in the impaired control of appetite observed.…”
Section: Discussionmentioning
confidence: 99%
“…MS was diagnosed according to the criteria proposed by Chen and collaborators for children and adolescents [17] using thresholds adapted to the French population and considering the presence of three or more of the following criteria: BMI ≥ 97th percentiles for age and sex; SBP or DBP ≥ 90th percentile; HDL-C ≤ 0.4 g•L −1 or TG ≥ 1 g•L −1 in youth <10 years and ≥1.3 g•L −1 in youth >10 years; and fasting glucose ≥ 1.1 g•L −1 or HOMA-IR > 75th percentile. This method has been previously used in similar populations [18,19].…”
Section: Detection Of the Metabolic Syndromementioning
confidence: 99%
“…The relationship between sleep disturbances and pediatric obesity seems to be bidirectional [13,15,16]. Several studies [6,12,13,[15][16][17][18]24,62] and two meta-analyses [63,64] report an association between inadequate sleep duration and elevated BMI percentiles (both obese and severely obese ranges). Both sleep disturbances and obesity are associated with increased risk of metabolic syndrome, Type 2 diabetes, dyslipidemia, and insulin resistance [12,15,17,18,62,[65][66][67].…”
Section: Pediatric Obesity and Sleep Disturbancesmentioning
confidence: 99%