Anxiety depression levels, anxiety sensitivity, and quality of life in children with chronic spontaneous urticaria: A cross-sectional study.

Existing literature offers some insights into the prevalence of anxiety and depression in children with chronic spontaneous urticaria (CSU). However, the literature on anxiety sensitivity (AS) and quality of life (QoL) in these children remains poorly understood. This study aimed to evaluate psychiatric diagnoses, anxiety and depression levels, AS, and QoL in children with CSU compared to healthy controls. The CSU group consisted of 44 children aged 8 to 17 years who were diagnosed with CSU, while the control group consisted of 44 healthy children. A child psychiatrist conducted the psychiatric assessment of the children. The Revised Child Anxiety and Depression Scales (RCADS), the Childhood Anxiety Sensitivity Index (CASI), and the Children's Dermatology Life Quality Index (CDLQI) were administered. Multiple linear regression analysis was conducted to identify independent predictors of QoL, considering several potential factors, including the urticaria activity score, duration of urticaria, presence of a psychiatric diagnosis, scores on the RCADS major depression disorder, RCADS-total anxiety, and total CASI. A significantly higher prevalence of psychiatric diagnoses and anxiety disorders was observed in the CSU group (P < .05). In the CSU group with a psychiatric diagnosis, CASI-total (0.011), CASI-physical (0.049), CASI-social (0.022), and CDLQI scores (P < .001) were significantly higher than those without a psychiatric diagnosis. In the multiple linear regression analysis, only the presence of a psychiatric diagnosis was found to be a significant predictor of CDLQI scores (OR, 5.918; 95% CI, 2.505-9.330; P: .001). This study indicated that children with CSU exhibited a higher prevalence of psychiatric diagnoses than controls. Additionally, children with psychopathology in the CSU group demonstrated higher AS and greater impairment of QoL than those without psychiatric diagnoses. Furthermore, the most significant predictor of a decline in QoL was the presence of a psychiatric diagnosis.