Validation of the Arabic version of the Obstructive Sleep Apnea-18 quality of life questionnaire for evaluating children with sleep apnea-hypopnea syndrome.

Background: Pediatric obstructive sleep apnea (OSA) poses a significant health concern, affecting the well-being and quality of life of affected children. This study focuses on the translation, adaptation, and validation of the OSA-18 questionnaire for Arabic-speaking pediatric patients, aiming to contribute to the understanding of OSA and its implications on the quality of life in this population.

Methods: A study was conducted at Jordan University Hospital, involving 186 Arabic-speaking pediatric patients with suspected OSA. The OSA-18 questionnaire was translated and culturally adapted following the World Health Organization guidelines. Overnight polysomnography was conducted to assess OSA severity. Internal consistency, construct validity, convergent validity, and predictive/discriminant validity were analyzed.

Results: The study sample (68.8% of males, median age: 10.87) showed a median Apnea-Hypopnea Index (AHI) of 7.0, OSA-18 score of 46.5, and Pediatric Sleep Questionnaire (PSQ) score of 7.0. Internal consistency of OSA-18 was acceptable, except for the "physical symptoms" domain. Exploratory and confirmatory factor analyses revealed five factors corresponding to different OSA-18 domains. Convergent validity was supported by significant correlations between OSA-18 and PSQ scores. However, no correlation was found between OSA-18 scores and AHI. OSA severity was associated with higher PSQ scores but not with AHI.

Conclusion: This study provides valuable insights into pediatric OSA in Arabic-speaking children. While the translation and validation of the OSA-18 questionnaire demonstrated acceptable reliability and convergent validity, the lack of correlation between OSA-18 scores and AHI raises questions about the survey's ability to capture the full impact of OSA objectively. Future research should focus on developing more reliable diagnostic tools, especially in resource-limited settings.