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Record W1967711528 · doi:10.1097/htr.0b013e3181a68b73

Volunteer Work and Psychological Health Following Traumatic Brain Injury

2009· article· en· W1967711528 on OpenAlexaff
Marie‐Christine Ouellet, Charles M. Morin, André Lavoie

Bibliographic record

VenueJournal of Head Trauma Rehabilitation · 2009
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsMcGill UniversityHôpital de l'Enfant-JésusCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsIrritabilityAngerAnxietyPsychologyDepression (economics)Clinical psychologyTraumatic brain injuryPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: To compare the long-term psychological functioning of 3 groups of survivors of traumatic brain injury (TBI): (1) those who report being regularly active either by working or studying, (2) those who are not competitively employed but are active volunteers, and (3) those who report neither working, studying, nor volunteering. PARTICIPANTS AND PROCEDURE: Two hundred eight participants aged 16 years and older with minor to severe TBI were classified as (1) Working/Studying (N = 78), (2) Volunteering (N = 54), or (3) Nonactive (N = 76). MAIN OUTCOME MEASURES: Measures of psychological distress (anxiety, depression, cognitive disturbance, irritability/anger), fatigue, sleep disturbance, and perception of pain. RESULTS: Survivors of TBI who report being active through work, studies, or volunteering demonstrate a significantly higher level of psychological adjustment than persons who report no activity. Even among participants who are unable to return to work and are declared on long-term disability leave, those who report engaging in volunteer activities present significantly better psychological functioning than participants who are nonactive. CONCLUSION: Volunteering is associated with enhanced psychological well-being and should be encouraged following TBI.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.094
GPT teacher head0.441
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations43
Published2009
Admission routes1
Has abstractyes

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