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

Purpose: To identify and characterize latent trajectories of depression using growth mixture modeling (GMM) applied to irregularly timed assessments spanning up to 20 years post-injury, examine baseline rehabilitation variables significantly associated with trajectory membership, and determine predi...

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Publicado en:NeuroRehabilitation Vol. 58; no. 3; pp. 486 - 500
Autores principales: García-Rudolph, Alejandro, Soler, Maria Dolors, Gilabert, Anna, Opisso, Eloy, Saurí, Joan
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. May2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2026
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Modeling Long-Term Depression Trajectories After Spinal Cord Injury Using Irregularly Sampled Assessments and Rehabilitation Baseline Predictors.
      aug:
        au:
          García-Rudolph, Alejandro
          Soler, Maria Dolors
          Gilabert, Anna
          Opisso, Eloy
          Saurí, Joan
        affil: Department of Research and Innovation, Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Barcelona, Spain
      sug:
        subj:
          Spinal Cord Injuries Psychosocial Factors
          Spinal Cord Injuries Rehabilitation
          Spinal Cord Injuries Complications
          Depression Symptoms
          Depression Diagnosis
          Time
          Human
          Spain
          Male
          Female
          Adult
          Middle Age
          Retrospective Design
          Nonexperimental Studies
          Rehabilitation Centers
          Logistic Regression
          ROC Curve
          Inpatients
          Descriptive Statistics
          Inferential Statistics
          Chi Square Test
          T-Tests
          One-Way Analysis of Variance
          Mann-Whitney U Test
          Kruskal-Wallis Test
          Post Hoc Analysis
          Scales
          Confidence Intervals
          Delayed Onset
          Support, Psychosocial
          Risk Assessment
          Structural Equation Modeling
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Purpose: To identify and characterize latent trajectories of depression using growth mixture modeling (GMM) applied to irregularly timed assessments spanning up to 20 years post-injury, examine baseline rehabilitation variables significantly associated with trajectory membership, and determine predictors of sustained depressive burden. Methods: This retrospective observational cohort study included adults with traumatic or non-traumatic spinal cord injury admitted for inpatient rehabilitation within 3 months post-injury (2005–2023), with follow-up extending until May 2025. Depressive symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS-D) at admission, discharge, and follow-up, totaling 3,258 assessments (n = 679 patients). GMM identified latent trajectories while accommodating irregularly spaced assessments. Predictors of trajectory membership were analyzed through multivariable regression with quantified model discrimination. Results: A 3-class GMM solution provided optimal fit (entropy=0.75). Most participants (81.6%) followed a stable low-depression trajectory (Class 1). A borderline depression trajectory (Class 2; 8.4%) remained persistently elevated, while a probable depression trajectory (Class 3; 10.0%) displayed delayed worsening peaking at 5–7 years post-injury. Class 3 included a significantly higher proportion of non-traumatic injuries (63%) and females (44.1%), with most patients (85.3%) showing no depressive symptoms during rehabilitation, but later exhibiting a marked increase in depressive burden. Logistic regression predicting Class 2 achieved good discrimination (AUC=0.81; 95% CI, 0.65–0.97), identifying baseline depressive symptoms, tetraplegia, female sex, and primary level of education as significant predictors. Conclusions: Irregularly sampled follow-ups revealed distinct depression trajectories, including delayed-onset risk. Findings emphasize early rehabilitation-based screening and long-term monitoring to target follow-up and psychological support.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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