Jennifer H Marwitz1, Adam P Sima2, Jeffrey S Kreutzer3, Laura E Dreer4, Thomas F Bergquist5, Ross Zafonte6, Douglas Johnson-Greene7, Elizabeth R Felix7. 1. Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA. Electronic address: jennifer.marwitz@vcuhealth.org. 2. Department of Biostatistics, Virginia Commonwealth University, Richmond, VA. 3. Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA; Department of Neurological Surgery, Virginia Commonwealth University, Richmond, VA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA. 4. Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, AL; Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL. 5. Department of Psychiatry and Psychology, Mayo Clinic College of Medicine, Rochester, MN; Department of Physical Medicine and Rehabilitation, Mayo Clinic College of Medicine, Rochester, MN. 6. Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. 7. Department of Physical Medicine and Rehabilitation, University of Miami Miller School of Medicine, Miami, FL.
Abstract
OBJECTIVES: To evaluate (1) the trajectory of resilience during the first year after a moderate-severe traumatic brain injury (TBI); (2) factors associated with resilience at 3, 6, and 12 months postinjury; and (3) changing relationships over time between resilience and other factors. DESIGN: Longitudinal analysis of an observational cohort. SETTING: Five inpatient rehabilitation centers. PARTICIPANTS: Patients with TBI (N=195) enrolled in the resilience module of the TBI Model Systems study with data collected at 3-, 6-, and 12-month follow-up. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Connor-Davidson Resilience Scale. RESULTS: Initially, resilience levels appeared to be stable during the first year postinjury. Individual growth curve models were used to examine resilience over time in relation to demographic, psychosocial, and injury characteristics. After adjusting for these characteristics, resilience actually declined over time. Higher levels of resilience were related to nonminority status, absence of preinjury substance abuse, lower anxiety and disability level, and greater life satisfaction. CONCLUSIONS: Resilience is a construct that is relevant to understanding brain injury outcomes and has potential value in planning clinical interventions.
OBJECTIVES: To evaluate (1) the trajectory of resilience during the first year after a moderate-severe traumatic brain injury (TBI); (2) factors associated with resilience at 3, 6, and 12 months postinjury; and (3) changing relationships over time between resilience and other factors. DESIGN: Longitudinal analysis of an observational cohort. SETTING: Five inpatient rehabilitation centers. PARTICIPANTS: Patients with TBI (N=195) enrolled in the resilience module of the TBI Model Systems study with data collected at 3-, 6-, and 12-month follow-up. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Connor-Davidson Resilience Scale. RESULTS: Initially, resilience levels appeared to be stable during the first year postinjury. Individual growth curve models were used to examine resilience over time in relation to demographic, psychosocial, and injury characteristics. After adjusting for these characteristics, resilience actually declined over time. Higher levels of resilience were related to nonminority status, absence of preinjury substance abuse, lower anxiety and disability level, and greater life satisfaction. CONCLUSIONS: Resilience is a construct that is relevant to understanding brain injury outcomes and has potential value in planning clinical interventions.
Authors: Alba Aza; Miguel Ángel Verdugo; María Begoña Orgaz; María Fernández; Antonio Manuel Amor Journal: Qual Life Res Date: 2019-12-18 Impact factor: 4.147
Authors: Alba Aza; Miguel Á Verdugo; María Begoña Orgaz; Antonio M Amor; María Fernández Journal: Int J Environ Res Public Health Date: 2021-01-21 Impact factor: 3.390