0881 CENTRAL ADIPOSITY PREDICTS INCREASED HEART RATE IN CHILDREN AND ADOLESCENTS WITH OBSTRUCTIVE SLEEP APNOEA

Abstract Introduction: Obstructive sleep apnoea (OSA) and obesity in children have adverse cardiovascular effects, including elevated heart rate (HR). Little is known about the additive effects of obesity and OSA on HR in children. Previous studies have identified that anthropomorphic measurements a...

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Published in:Sleep (New York, N.Y.) Vol. 40; no. suppl_1; p. A327
Main Authors: Walter, LM, Tamanyan, K, Nisbet, LC, Weichard, A, Davey, MJ, Nixon, GM, Horne, RS
Format: Journal Article
Language:English
Published: US Oxford University Press 28-04-2017
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Summary:Abstract Introduction: Obstructive sleep apnoea (OSA) and obesity in children have adverse cardiovascular effects, including elevated heart rate (HR). Little is known about the additive effects of obesity and OSA on HR in children. Previous studies have identified that anthropomorphic measurements are more sensitive indicators of OSA risk in children than body mass index (BMI), but studies have not investigated the association between these measures and the cardiovascular outcomes of OSA. We aimed to determine whether BMI z-score, the anthropomorphic measures of neck, waist, hip circumferences, the neck/waist (NWR), waist/hip (WHR) and waist/height (WHtR) ratios, and OSA severity were predictive of increased HR, during wake and sleep in children. Methods: Children (3-18y) undergoing assessment for suspected OSA (n=301) and age-matched non-snoring controls (n=98) underwent overnight polysomnography. They were grouped by age into 3-5y (n=175); >5-9y (n=91); and >9y (n=90). Linear regression identified the determinants of HR during wake and sleep. Results: The obstructive sleep apnoea index was not a significant predictor of increased wake or sleep HR in any age group. BMI z-score was predictive of sleep HR in the >9y group (STD β, 0.36; p=0.002). WHtR was the anthropomorphic measurement that was the best predictor of HR in all of the age groups. WHtR was a significant predictor of increased HR during wake in the 3-5y (0.20, p<0.01) and wake and sleep in the >5-9y group (0.34, p<0.01; 0.32, p<0.01 respectively) and during sleep in the >9y group (0.38, p=0.001). Conclusion: Our results indicate the relationship between the cardiovascular sequalae of OSA and OSA severity and obesity is age-dependent. BMI z-score was predictive of increased HR only in the children over 9y of age. The only anthropometric measure that was predictive of increased HR in all age groups was WHtR, with the strength of the association increasing with age. This suggests that it may be central adiposity that is primarily driving elevated HR in children with OSA rather than OSA severity or obesity as measured by BMI z-score. Support (If Any): National Health and Medical Research Council of Australia; Heart Foundation of Australia; Victorian Government’s Research Infrastructure Support Program
ISSN:0161-8105
1550-9109
DOI:10.1093/sleepj/zsx050.880