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March 28, 2026Neurorehabilitation0 citations

Modeling Long-Term Depression Trajectories After Spinal Cord Injury

Modeling Long-Term Depression Trajectories After Spinal Cord Injury Using Irregularly Sampled Assessments and Rehabilitation Baseline Predictors

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Authors

AGAlejandro García-RudolphMSMaría SolerAGAnna Gilabert

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Overview

Observational cohort study uncovers distinct depression patterns in spinal cord injury patients, highlighting the need for monitoring.

Key Points

  • This study aims to identify and characterize depression trajectories following spinal cord injury and their predictors.
  • Retrospective observational cohort study of adults with spinal cord injury.
  • Used growth mixture modeling (GMM) for analyzing irregularly timed depression assessments.
  • Depressive symptoms assessed using the Hospital Anxiety and Depression Scale (HADS-D) at multiple time points.
  • Identified a 3-class solution with 81.6% following a low-depression trajectory.
  • 8.4% displayed a borderline depression trajectory, while 10.0% exhibited a delayed worsening trajectory.
  • Significant predictors of depression trajectory included baseline depressive symptoms, sex, and injury type.

Cite This Study

García-Rudolph et al. (2026) studied this question.

synapsesocial.com/papers/69c770f78bbfbc51511e0dfehttps://doi.org/10.1177/10538135261433166
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