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Record W4213357576 · doi:10.3390/ijerph19042355

Self-Reported Coping Strategies for Managing Work-Related Stress among Public Safety Personnel

2022· article· en· W4213357576 on OpenAlexafffund
Gregory S. Andérson, Rosemary Ricciardelli, Linna Tam‐Seto, Sulaimon Gıwa, R. Nicholas Carleton

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of ReginaMcMaster UniversityMemorial University of NewfoundlandThompson Rivers University
FundersCanadian Institutes of Health Research
KeywordsCoping (psychology)Occupational safety and healthHuman factors and ergonomicsSuicide preventionInjury preventionOccupational stressWork stressPoison controlPsychologyApplied psychologyWork (physics)Environmental healthMedicineClinical psychologyEngineering

Abstract

fetched live from OpenAlex

Public safety personnel (PSP) experience a disproportionately high number of on-the-job stressors compared to the general population. PSP develop self-initiated actions, or coping strategies, that either confront the situation (approach strategies) or avoid the situation (avoidance strategies) to reduce the impact of stressors on their well-being. Understanding how PSP cope with stress is critical to ensuring their safety and that of the public. In the current study, we examined the coping strategies of PSP (n = 828 in the total sample). Participants managed their experiences of occupational stress or distress using three primary approach coping strategies: education (learning about mental illness and their causes), self-reliance (processes of self-reflection), and treatment (pharmaceutical, psychotherapy) that were considered adaptive. Results demonstrate PSP used multiple coping strategies simultaneously to deal with occupational stress. PSP who reported doing better tended to attribute their success to treatment, specifically psychotherapy, either alone or in combination with other interventions, and almost always emphasizing important supports from co-workers, families, and friends. Changing workplace culture could help to de-pathologize the effects of stress reactions being perceived as individual “failings”.

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.421
Teacher spread0.340 · 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.

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

Citations25
Published2022
Admission routes2
Has abstractyes

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