4.6 Article

Heterogeneity in Temporal Ordering of Depression and Participation After Traumatic Brain Injury

期刊

ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
卷 101, 期 11, 页码 1973-1979

出版社

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.apmr.2020.05.026

关键词

Brain injuries; Depression; Latent class analysis; Mental health; Rehabilitation

资金

  1. National Institutes of Health [R03HD093992]
  2. National Institute on Disability, Independent Living, and Rehabilitation Research [90DPTB0004, 90DPTB0011, 90DPTB0013, 90DPTB0008]
  3. NIDILRR [1004321, 90DPTB0004, 1004330, 90DPTB0013, 1004328, 90DPTB0011, 1004325, 90DPTB0008] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Objective: To examine heterogeneity in the temporal patterns of depression and participation over the first 2 years post traumatic brain injury (TBI). Design: Observational prospective longitudinal study. Setting: Inpatient rehabilitation centers, with 1- and 2-year follow-up conducted primarily by telephone. Participants: Persons with TBI (N=2307) enrolled in the Traumatic Brain Injury Model Systems database, followed at 1 and 2 years post injury. Interventions: Not applicable. Main Outcome Measure: Patient Health Questionnaire-9 (PHQ-9) and Participation Assessment With Recombined ToolseObjective (PART-O). Results: Using latent class modeling we examined heterogeneity in the longitudinal relationship between PHQ-9 and PART-O. The identified 6 classes were most distinct in terms of (1) level of PHQ-9 score and (2) association between the year 1 PART-O score and year 2 PHQ-9 score. For most participants, PART-O at year 1 predicted PHQ-9 at year 2 more than the reverse. However, there was a subgroup of participants that demonstrated the reverse pattern, PHQ-9 predicting later PART-O, who were on average, older and in the other employment category. Conclusions: Results suggest that links between participation and depression are stronger for some people living with TBI than for others and that variation in the temporal sequencing of these 2 constructs is associated with demographic characteristics. These findings illustrate the value in accounting for population heterogeneity when evaluating temporal among outcome domains. (C) 2020 by the American Congress of Rehabilitation Medicine

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