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Cited by 3Traumatic Brain Injury ResearchLong-Term Effects of COVID-19Traumatic Brain Injury and Neurovascular Disturbances

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Biopsychosocial correlates of fatigue in young adult survivors of childhood traumatic brain injury: A prospective cohort study

Open access
Lee Marmol, Nohely, Ryan, Nicholas P., Sood, Nikita, Morrison, Elle, Botchway-Commey, Edith, Anderson, Vicki, Catroppa, Cathy·2025·Neuropsychological Rehabilitation
DOI 10.1080/09602011.2024.2319910
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Abstract

This prospective cohort study aimed to evaluate the potential role of injury, socio-demographic and individual psychological factors in predicting long-term fatigue outcomes in young adult survivors of childhood TBI at 16-years post-injury. The study included 51 young adults diagnosed with childhood TBI from 2-12 years of age. Twenty age-and-sex-matched controls were included for comparison. Findings showed that almost one-in-four TBI participants (24%) endorsed clinically elevated fatigue at 16-years post-injury. Despite the relatively large proportion of TBI participants endorsing clinically significant fatigue, group comparisons revealed that the TBI and control groups did not significantly differ on fatigue symptom severity or rates of clinically elevated fatigue. For the TBI group, post-injury fatigue was significantly associated with socio-demographic and psychological factors, including lower educational level, higher depression symptom severity, and more frequent substance use. Higher fatigue was also associated with lower self-reported quality of life (QoL) in the physical, psychological, and environmental domains, even after controlling for depressive symptom severity, socio-demographic, and injury-related factors. Overall, findings show that a substantial proportion of young adults with a history of childhood TBI experience clinically elevated fatigue at 16-years post-injury. Identification and treatment of modifiable risk-factors (e.g. depression symptoms, substance use) has potential to reduce fatigue.

Overview

Integrity signals

Registry

Crossref · 10.1080/09602011.2024.2319910

Cites

45 of 45 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Research works printed but not linked: 1

  1. Achenbach, T., & Rescorla, L. (2001). Manual for the ASEBA school-age forms & profiles: An integrated system of multi-informant assessment. University of Vermont.

Cited by

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Metadata

Authors
Lee Marmol, N., Ryan, N. P., Sood, N., Morrison, E., Botchway-Commey, E., Anderson, V., & Catroppa, C.
Affiliations
  • Brain and Mind Research, Murdoch Children’s Research Institute, Parkville, Australia
  • Deakin University (AU)
  • Murdoch Children's Research Institute (AU)
  • The University of Melbourne (AU)
  • Royal Children's Hospital (AU)
Corresponding author
Ryan, Nicholas P.
ORCID
Venue
Neuropsychological Rehabilitation
Publisher
Informa UK Limited
Published
2024-02-21
Volume
35
Issue
1
Pages
1-18
ISSN
  • 0960-2011 (ISSN-L)
  • 1464-0694
DOI
10.1080/09602011.2024.2319910
OpenAlex
W4391996059
Cited by
3
References
45
Citations by year
2026: 2 · 2025: 1
FWCI
0.71
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Neuropsychological Rehabilitation (publishedVersion)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
  • Health Sciences › Medicine › Clinical Neurology › Long-Term Effects of COVID-19
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury and Neurovascular Disturbances
Keywords
pediatric traumatic brain injury, young adult survivors, biopsychosocial factors, depressive symptoms, substance use, quality of life, educational attainment, long-term outcomes, risk factors for fatigue
MeSH terms
Brain Injuries, Traumatic, Adolescent, Adult, Child, Child, Preschool, Depression, Fatigue, Female, Humans, Male, Prospective Studies, Quality of Life, Severity of Illness Index, Survivors, Young Adult

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.