Evidence map›Paper›PMID 39162767›Full record

ArticleVeterinary research communications2024

Life satisfaction, psychological distress, compassion satisfaction and resilience: when the pleasure of helping others protects veterinary staff from emotional suffering.

Maria Manuela Peixoto, Olga Cunha

Abstract read
In one paragraph

Article in Veterinary research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Maria Manuela PeixotoCenter for Psychology, University of Porto, Porto, Portugal. nelinha.peixoto@gmail.com.
Olga CunhaHEI-Lab: Human Environment Interaction Lab, Lusófona University, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIndividuals working in veterinary field suffer significantly from mental health problems, and research has extensively focused on psychological and work-related predictors of psychological distress. This study intended to approach psychological distress through a positive lens by investigating the predictive role of life satisfaction on psychological distress in veterinary staff, and the mediating effect of compassion satisfaction, resilience and perceived social support. METHODOLOGY: A total of 868 veterinary staff (i.e. veterinarians, veterinary nurses, veterinary assistants and veterinary administrative staff) completed a web-survey assessing life satisfaction, psychological distress, compassion satisfaction, resilience, and social support.

resultsLife satisfaction negatively predicts psychological distress, and compassion satisfaction and resilience showed a mediation effect on the relationship between life satisfaction and psychological distress, with compassion satisfaction explaining 59% and resilience 6.4% of the effect of life satisfaction on psychological distress.

conclusionCurrent data support the role of life satisfaction as a protective dimension on psychological distress within a broader sample population of veterinary staff in Portugal, highlighting the role of compassion satisfaction and resilience in contributing in minimising distress among veterinary staff.

Indexed as

EmpathyPersonal SatisfactionPsychological DistressResilience, PsychologicalVeterinariansAdultAnimal TechniciansFemaleHumansJob SatisfactionMaleMiddle AgedPortugalStress, PsychologicalSurveys and QuestionnairesCompassion satisfactionLife satisfactionPerceived social supportPsychological distressResilienceVeterinary staff

Identifiers

PMID39162767
PMCPMC11442479

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.