Evidence map›Paper›PMID 38506428›Full record

ArticleJournal of rehabilitation medicine2024

Trajectories of fatigue and related outcomes following mild acquired brain injury: a multivariate latent class growth analysis.

Tom Smejka, Daan Verberne, Jan Schepers, Claire Wolfs, Vera Schepers, Rudolf Ponds, Caroline Van Heugten

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Article in Journal of rehabilitation medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tom SmejkaDepartment of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands; Limburg Brain Injury Centre, the Netherlands.
Daan VerberneDepartment of Neurorehabilitation, Sint Maartenskliniek, Nijmegen, the Netherlands.
Jan SchepersDepartment of Methodology and Statistics, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
Claire WolfsLimburg Brain Injury Centre, the Netherlands; School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Vera SchepersDepartment of Rehabilitation, Physical Therapy Science and Sports, University Medical Center Utrecht, Utrecht, the Netherlands.
Rudolf PondsLimburg Brain Injury Centre, the Netherlands; School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; Department of Medical Psychology, Amsterdam University Medical Center, location VU, Amsterdam, the Netherlands.
Caroline Van HeugtenDepartment of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands; Limburg Brain Injury Centre, the Netherlands. caroline.vanheugten@maastrichtuniversity.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFatigue is a common symptom following acquired brain injury although the severity and course differs for many individuals. This longitudinal study aimed to identify latent trajectory classes of fatigue and associated outcomes following mild brain injury.

methods204 adults with mild traumatic brain injury (159; 78%) or minor stroke (45; 22%) were assessed 4 times over 1 year. Subjective measures of fatigue, anxiety, depression, cognitive complaints and societal participation were collected. Multivariate Latent Class Growth Analysis identified classes of participants with similar longitudinal patterns. Demographic and injury characteristics were used to predict class membership.

resultsAnalysis revealed four classes. Class 1 (53%) had mild, decreasing fatigue with no other problems. Class 2 (29%) experienced high persistent fatigue, moderate cognitive complaints and societal participation problems. Class 3 (11%) had high persistent fatigue with anxiety, depression, cognitive complaints and participation problems. Class 4 (7%) experienced decreasing fatigue with anxiety and depression but no cognitive or participation problems. Women and older individuals were more likely to be in class 2.

conclusionHalf the participants had a favourable outcome while the remaining classes were characterised by persistent fatigue with cognitive complaints (class 2), decreasing fatigue with mood problems (class 4) or fatigue with both cognitive and mood problems (class 3). Fatigue treatment should target combinations of problems in such individual trajectories after mild brain injury.

Indexed as

Brain InjuriesDepressionAdultAnxietyFatigueFemaleHumansLongitudinal Studies

Identifiers

PMID38506428
PMCPMC10985494

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.