School of Medicine Publications and Presentations

Document Type

Article

Publication Date

11-2023

Abstract

Highlights

  • TX-YDSRN will improve understanding of youth with depression and suicidal behaviors.

  • TX-YDSRN consists of the UT Southwestern Network Hub and 12 medical school “Nodes”.

  • The Research Registry will follow 2500 Texas youth for 2 years.

  • This report includes the first 1000 youth enrolled in the Research Registry study.

Abstract

Background

American youth are seriously impacted by depression and suicide. The Texas Youth Depression and Suicide Research Network (TX-YDSRN) Participant Registry Study was initiated in 2020 to develop predictive models for treatment outcomes in youth with depression and/or suicidality. This report presents the study rationale, design and baseline characteristics of the first 1000 participants.

Methods

TX-YDSRN consists of the Network Hub (coordinating center), 12 medical school “Nodes” (manage/implement study), each with 1–5 primary care, inpatient, and/or outpatient Sub-Sites (recruitment, data collection). Participants are 8–20-year-olds who receive treatment or screen positive for depression and/or suicidality. Baseline data include mood and suicidality symptoms, associated comorbidities, treatment history, services used, and social determinants of health. Subsequent assessments occur every two months for 24 months.

Results

Among 1000 participants, 68.7 % were 12–17 years, 24.6 % were ≥ 18 years, and 6.7 % were < 12. Overall, 36.8 % were non-Hispanic Caucasian, 73.4 % were female, and 79.9 % had a primary depressive disorder. Nearly half of the sample reported ≥1 suicide attempt, with rates similar in youth 12–17 years old (49.9 %) and those 18 years and older (45.5 %); 29.9 % of childrenGeneralized Anxiety Disorder[GAD-7]: 11.3 ± 5.9).

Limitations

The sample includes youth who are receiving depression care at enrollment and may not be representative of non-diagnosed, non-treatment seeking youth.

Conclusions

The TX-YDSRN is one of the largest prospective longitudinal cohort registries designed to develop predictive models for outcome trajectories based on disorder heterogeneity, social determinants of health, and treatment availability.

Comments

Under a Creative Commons license

Publication Title

Journal of Affective Disorders

DOI

10.1016/j.jad.2023.07.035

Academic Level

faculty

Mentor/PI Department

Psychiatry

Included in

Psychiatry Commons

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