Sleep Symptoms and Polysomnographic Patterns of Obstructive Sleep Apnea in Obese Children

TAVASOLI, Azita and JALILOLGHADR, Shabnam and LOTFI, Shiva (2016) Sleep Symptoms and Polysomnographic Patterns of Obstructive Sleep Apnea in Obese Children. Iranian Journal of Child Neurology, 10 (1). pp. 14-20.

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Abstract

Objective

This study was conducted to investigate the sleep symptoms and polysomnographic patterns of obstructive sleep apnea in overweight and obese children.

Materials & Methods

Overweight or obese children aging 6-18 yr old referred during 2010 to Endocrinology Clinic of Ghods Hospital in Ghazvin, central Iran were enrolled in the study. Polysomnography was done for the diagnosis of obstructive sleep apnea and the BEARS and Children’s Sleep Habits questionnaires were used to survey sleep behaviors.

Results

We enrolled 30 children (14 males, 16 females). Twenty-one cases had body mass index (BMI) >95% and 9 had 85% <BMI<95%. Respiratory disturbance in polysomnography was seen in 90% of cases. Symptoms included snoring 18 (60%); frequent awakening 17 (56.6%); nocturnal sweating 15 (50%); daytime sleepiness 12 (40%); sleep talking 10 (33.3%); bedtime resistance 9 (30%); nightmares 8 (26.6%); waking up problems 6 (20%); sleep walking 6 (20%); difficult breathing 4 (13.3%); bedwetting 3 (10%) and sleep onset delay 2 (6.06%). Severe, moderate and mild apnea – hypopnea Index (AHI) were seen in 12, 9 and 6 subjects, respectively. A significant Pearson correlation was found between the BMI values and sleep latency.

Conclusion

Prevalence of obstructive sleep apnea is high among overweight and obese children. Physicians should be familiar with its manifestations and consider polysomnography as an invaluable diagnostic test. There was no relation between the degree of obesity and severity of obstructive sleep apnea.

Item Type: Article
Subjects: Apsci Archives > Medical Science
Depositing User: Unnamed user with email support@apsciarchives.com
Date Deposited: 21 Mar 2023 06:10
Last Modified: 06 Mar 2024 04:19
URI: http://eprints.go2submission.com/id/eprint/520

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