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CC BY 4.0 · Avicenna J Med 2025; 15(04): 165-169
DOI: 10.1055/s-0045-1814096
Original Article

Burden and Factors Associated with Depression and Anxiety Disorders in Pediatric Asthma: A Cross-Sectional Study

Autor*innen

  • Sagad O. O. Mohamed 

    1   Department of Pediatrics and Child Health, University of Khartoum, Khartoum, Sudan

  • Mohammed M. I. Ahmed

    1   Department of Pediatrics and Child Health, University of Khartoum, Khartoum, Sudan

  • Israa Elawad

    2   Department of Pediatrics and Child Health, Sidra Medicine, Doha, Qatar
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Abstract

Objectives

Asthma is a prevalent chronic condition in children, often associated with significant psychosocial comorbidities. This study aimed to estimate the prevalence and predictors of depression and anxiety among asthmatic children.

Methods

This cross-sectional study used data from the 2023 National Survey of Children's Health, involving 55,162 completed surveys representing a cohort of 133,963 U.S. children. Multivariable logistic regression was used to assess predictors of depression and anxiety among asthmatic children.

Results

Asthmatic children had higher rates of depression (9.4 vs. 3.2% in nonasthmatics, p < 0.001) and anxiety (21.2 vs. 8.4%, p < 0.001). Significant predictors of depression and anxiety among asthmatic children included male sex, obesity, lower physical activity, poor general health status, frequent hospital emergency room visits, presence of allergies, and presence of comorbid autoimmune diseases.

Conclusion

Asthma is associated with a higher psychosocial burden. The identified factors, particularly poorer health status and frequent health care utilization, highlight the vulnerable subgroups and emphasize the need for integrated care approaches, including mental health screening and support for asthmatic children.

Keywords

child health - asthma - anxiety - depression

Supplementary Material



Publikationsverlauf

Artikel online veröffentlicht:
29. Dezember 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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