Literature DB >> 23535388

Preinjury coping, emotional functioning, and quality of life following uncomplicated and complicated mild traumatic brain injury.

Kacey Little Maestas1, Angelle M Sander, Allison N Clark, Laura M van Veldhoven, Margaret A Struchen, Mark Sherer, H Julia Hannay.   

Abstract

OBJECTIVE: To identify preinjury coping profiles among adults with uncomplicated mild traumatic brain injury (mTBI) and complicated mTBI and to determine whether preinjury coping profiles contribute to the prediction of emotional functioning and quality of life (QOL) 3 months post-mTBI. PARTICIPANTS: One hundred eighty-seven persons with medically documented mTBI (uncomplicated mTBI, n = 89; complicated mTBI, n = 98) were recruited from the emergency center of a level I trauma center and followed in community 3 months post-mTBI. MEASURES: The Ways of Coping Questionnaire was administered within 2 weeks of injury. Cluster analysis was used to group participants on basis of their preinjury use of problem-focused and avoidant coping strategies. The Brief Symptom Inventory and the 36-item Short-Form Health Survey were administered 3 months postinjury.
RESULTS: Cluster analysis distinguished 3 distinct preinjury coping profiles that were differentially associated with outcomes. Participants who used avoidant coping showed the worse emotional functioning and QOL outcomes, although this cluster also reported high usage of problem-focused strategies. Preinjury coping profiles explained a significant proportion of the variance in depression, anxiety, and mental health QOL at 3 months postinjury beyond that accounted for by demographic characteristics and mTBI severity.
CONCLUSIONS: Cluster analysis holds practical value in illustrating the pattern of coping strategies used by person with uncomplicated and complicated mTBI. It appears worthwhile to address coping in future trials of interventions that are aimed at improving emotional functioning after mTBI.

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Year:  2014        PMID: 23535388     DOI: 10.1097/HTR.0b013e31828654b4

Source DB:  PubMed          Journal:  J Head Trauma Rehabil        ISSN: 0885-9701            Impact factor:   2.710


  7 in total

1.  Day of injury CT and late MRI findings: Cognitive outcome in a paediatric sample with complicated mild traumatic brain injury.

Authors:  Erin D Bigler; Paul B Jantz; Thomas J Farrer; Tracy J Abildskov; Maureen Dennis; Cynthia A Gerhardt; Kenneth H Rubin; Terry Stancin; H Gerry Taylor; Kathryn Vannatta; Keith Owen Yeates
Journal:  Brain Inj       Date:  2015-07-17       Impact factor: 2.311

2.  Anxiety and Mood Clinical Profile following Sport-related Concussion: From Risk Factors to Treatment.

Authors:  Natalie Sandel; Erin Reynolds; Paul E Cohen; Brandon L Gillie; Anthony P Kontos
Journal:  Sport Exerc Perform Psychol       Date:  2017-06-26

Review 3.  Clinical Assessment of Concussion and Persistent Post-Concussive Symptoms for Neurologists.

Authors:  John J Leddy; Mohammad Nadir Haider; James M Noble; Brian Rieger; Steven Flanagan; Jacob I McPherson; Kenneth Shubin-Stein; Ghazala T Saleem; Louis Corsaro; Barry Willer
Journal:  Curr Neurol Neurosci Rep       Date:  2021-11-24       Impact factor: 5.081

4.  Trajectories and associated factors of quality of life, global outcome, and post-concussion symptoms in the first year following mild traumatic brain injury.

Authors:  Chia-Chen Chiang; Su-Er Guo; Kuo-Chang Huang; Bih-O Lee; Jun-Yu Fan
Journal:  Qual Life Res       Date:  2015-12-26       Impact factor: 4.147

Review 5.  Health-related quality of life after TBI: a systematic review of study design, instruments, measurement properties, and outcome.

Authors:  Suzanne Polinder; Juanita A Haagsma; David van Klaveren; Ewout W Steyerberg; Ed F van Beeck
Journal:  Popul Health Metr       Date:  2015-02-17

6.  A Comparison of Type II Diabetic Patients With Healthy People: Coping Strategies, Hardiness, and Occupational Life Quality.

Authors:  Safdar Karimi; Asghar Jaafari; Mohammad Ghamari; Maryam Esfandiary; Foroozan Salehi Mazandarani; Sahar Daneshvar; Marjan Ajami
Journal:  Int J High Risk Behav Addict       Date:  2016-01-12

7.  Evaluation of Machine Learning Techniques to Predict the Likelihood of Mental Health Conditions Following a First mTBI.

Authors:  Filip Dabek; Peter Hoover; Kendra Jorgensen-Wagers; Tim Wu; Jesus J Caban
Journal:  Front Neurol       Date:  2022-02-02       Impact factor: 4.003

  7 in total

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