The clinical presentation of major depressive disorder in youth with co-occurring obsessive-compulsive disorder.

BACKGROUND: Major depressive disorder (MDD) is common in youth and among the most frequent comorbid disorders in pediatric obsessive-compulsive disorder (OCD), but it is unclear whether the presence of OCD affects the symptom presentation of MDD in youth. METHODS: A sample of youth with OCD and MDD (n = 124) and a sample of youth with MDD but no OCD (n = 673) completed the Patient Health Questionnaire for Adolescents (PHQ-A). The overall and symptom-level presentation of MDD were examined using group comparisons and network analysis. RESULTS: Youth with MDD and OCD, compared to those with MDD and no OCD, had more severe MDD (Cohen's d = 0.39) and more reported moderate to severe depression (75 % vs 61 %). When accounting for demographic variables and the overall severity of MDD, those with comorbid OCD reported lower levels of anhedonia and more severe difficulties with psychomotor retardation/agitation. No significant differences in the interconnections among symptoms emerged. LIMITATIONS: Data were cross-sectional and self-reported, gold standard diagnostic tools were not used to assess OCD, and the sample size for the group with MDD and OCD was relatively small yielding low statistical power for network analysis. CONCLUSIONS: Youth with MDD and OCD have more severe MDD than those with MDD and no OCD and they experience more psychomotor issues and less anhedonia, which may relate to the behavioral activation characteristic of OCD.

Geospatial identification of high youth suicide risk areas via electronic health records: Avenues for research and prevention efforts.

OBJECTIVE: As suicide risk screening becomes more common in healthcare settings, geospatial coding of behavioral health data may offer a means for identifying areas of elevated suicide risk for use in public health prevention efforts. The present study demonstrates an analytic approach for using universal suicide risk screening data to identify areas of elevated suicide risk. METHOD: Data were drawn from standard suicide risk screens recorded in electronic health records of a large pediatric emergency department. A total of 12,400 suicide risk screening responses were recorded, among youth aged 11-19 years (mean = 14.60, SD = 2.16; 57.2% girls, 47.8% Hispanic/Latinx, 72.1% White). A total of 86 unique ZIP codes had at least 50 completed screens, representing 9139 respondents. RESULTS: Rates of positive screens ranged from 6.17% to 31.03% (mean = 18.33, SD = 5.14) for any suicide-related behavior and from 0.0% to 19.61% (mean = 9.14, SD = 3.43) for suicide attempt. Rates of positive screens approximated a normal distribution. CONCLUSIONS: Results demonstrated several areas with elevated rates of positive suicide risk screens, within the hospital catchment area. The proposed method capitalizes on large-scale screening data, provides an estimate of areas of relative increased risk, and may be used to inform public health responses to suicide prevention.