Comorbidity with depression and overweight in children with asthma
© Bahreinian et al; licensee BioMed Central Ltd. 2010
Published: 4 November 2010
In Canada 16.6% of children are affected by asthma  which may increase the risk of comorbid depressive disorders in the adolescent years [2, 3]. Overweight is more prevalent in children suffering from asthma  or depression , yet few studies have explored the possible relationships between these three chronic conditions in children. We examined whether depression was more prevalent in children with asthma, especially among those who were overweight.
Materials and methods
Data were collected as a part of the nested case-control study of the Study of Asthma, Genes and Environment (SAGE) cohort in Manitoba. All the children enrolled in the study at age 7-10 were reassessed by a pediatric allergist at 11-13 years to confirm asthma/atopy diagnosis. At the same visit, height and weight were obtained. Depressive symptoms were also assessed using the short form of the children’s depression inventory (CDI-S). Depression was defined as CDI-S scores ≥2 (highest quartile of population under the study). Overweight was defined as BMI-z score > 1.04. Data were analyzed using logistic regression modeling to determine likelihood of depression in children with asthma, stratified by sex and adjusting for age, overweight and atopy.
Basic distribution of study variables
Likelihood of depression in children
Adjusted OR* (95% CI)
2.1 (1.02 to 4.22)
.92 (.46 to 1.84)
1.07 (.56 to 2.04)
1.28 (.69 to 2.37)
1.94 (1.01 to 3.71)
.66 ( .36 to 1.24)
Overweight appears to be an important predictor of depression in girls regardless of their asthma status. Although asthma status does not increase the likelihood of depression in girls, it appears to increase the odds of depression among boys.
This research was funded by AllerGen NCE Inc and the Canadian Institutes of Health Research: new emerging team and operating grants in origins of asthma. Salma Bahreinian is supported by the Women and Children’s Health Research Institute. We would also like to acknowledge the support of the SAGE research team.
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