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Published on: December 6, 2016
The correlation among obesity, apnea-hypopnea index, and tonsil size in children
Yuen-yu Lam1, Eric Y T Chan, Daniel K Ng
1Department of Paediatrics, Kwong Wah Hospital, 25 Waterloo Road, Hong Kong SAR.
Insights
Childhood obesity is linked to more severe obstructive sleep apnea (OSA). Higher BMI Z scores and tonsil size correlate with increased apnea-hypopnea index (AHI) in children, even after accounting for other factors.
Area of Science:
- Pediatric Sleep Medicine
- Childhood Obesity Research
- Respiratory Health
Background:
- The link between obesity and obstructive sleep apnea (OSA) severity is established in adults, but less clear in children.
- Existing data on childhood OSA and obesity show inconsistencies.
Purpose of the Study:
- To investigate the correlation between the degree of obesity and OSA severity in children.
- To determine if obesity is a significant predictor of OSA severity in pediatric patients.
Main Methods:
- Retrospective review of 482 children (ages 1-15) referred to a sleep laboratory.
- Obesity defined by body mass index z score (BMI Z score) > 1.96.
- Correlation between BMI Z score and apnea-hypopnea index (AHI) assessed, adjusting for age, gender, and tonsil size using multiple linear regression.
Main Results:
- Obese children exhibited a significantly higher AHI compared to nonobese children.
- BMI Z score showed a significant positive correlation with log-transformed AHI (Ln[AHI]).
- Both BMI Z score and tonsil size remained significant predictors of Ln(AHI) after adjusting for confounding factors.
Conclusions:
- The degree of obesity, measured by BMI Z score, is significantly associated with OSA severity (AHI) in children.
- Tonsil size also plays a significant role in OSA severity in this pediatric cohort.
- While statistically significant, the correlation between obesity and OSA severity in children is mild.
Background:
The correlation between obesity and severity of obstructive sleep apnea (OSA) is well established in adults, but data are inconsistent in children. We hypothesized that there is a significant correlation between the degree of obesity and the severity of OSA in children.
Methods:
We retrospectively reviewed records of weight, height, history, and polysomnography of all 1- to 15- year-old children referred to our sleep laboratory. Children with known anomalies and repeated polysomnography were excluded from this study. Obesity was defined as body mass index z score (BMI Z score) > 1.96. The correlation between BMI Z score and apnea-hypopnea index (AHI) was assessed. Possible confounding factors, ie, age, gender, and tonsil size, were adjusted by multiple linear regression.
Results:
Four hundred eighty-two children were included in this study. Obese children had a significantly higher AHI (median, 1.5; interquartile range [IQR], 0.2 to 7.0) than the AHI of nonobese children (median, 0.7; IQR, 0.0 to 2.5). BMI Z score was significantly correlated with log-transformed AHI (Ln[AHI]) [r = 0.156, p = 0.003]. BMI Z score and tonsil size were still correlated with Ln(AHI) even after adjusted for other confounding factors (p = 0.001).
Conclusion:
Degree of obesity as measured by BMI Z score and tonsil size are significantly related to severity of OSA as reflected by the AHI, although the correlation is mild.
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