Journal
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
Volume 101, Issue 11, Pages 1973-1979Publisher
W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.apmr.2020.05.026
Keywords
Brain injuries; Depression; Latent class analysis; Mental health; Rehabilitation
Categories
Funding
- National Institutes of Health [R03HD093992]
- National Institute on Disability, Independent Living, and Rehabilitation Research [90DPTB0004, 90DPTB0011, 90DPTB0013, 90DPTB0008]
- NIDILRR [1004321, 90DPTB0004, 1004330, 90DPTB0013, 1004328, 90DPTB0011, 1004325, 90DPTB0008] Funding Source: Federal RePORTER
Ask authors/readers for more resources
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
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available