Evidence map›Paper›PMID 39767522›Full record

ArticleInternational journal of environmental research and public health2024

Being Cynical Is Bad for Your Wellbeing: A Structural Equation Model of the Relationship Between Cynicism and Mental Health in First Responders in South Africa.

Anita Padmanabhanunni, Tyrone B Pretorius

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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
–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

4 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.

Anita PadmanabhanunniDepartment of Psychology, University of the Western Cape, Cape Town 7535, South Africa.ORCID 0000-0001-7733-7486
Tyrone B PretoriusDepartment of Psychology, University of the Western Cape, Cape Town 7535, South Africa.ORCID 0000-0002-6325-6623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cynicism has been associated with adverse mental and physical health outcomes. This study investigated the role of cynicism in relation to indices of mental health among South African first responders. Research has highlighted that first responders are at increased risk of adverse mental health outcomes owing to the nature of their work. The sample consisted of 429 participants who completed a brief demographic questionnaire and several research instruments: Turner Cynicism Scale, Chalder Fatigue Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorder Scale-7. Structural equation modeling was used to explore the relationship between cynicism and mental health indicators. It included a measurement model, which identified four latent variables-cynicism, fatigue, depression, and anxiety-and their respective indicators, and a structural model, which defined the relationships among these latent variables. Path analysis was used to explore the potential mediating role of fatigue in the relationship between cynicism and indices of mental health. The results demonstrated significant associations between cynicism and anxiety, depression, and fatigue. Fatigue also mediated the relationship between cynicism and indices of mental health. The results underscore the importance of recognizing and addressing cynicism as a critical factor in the mental health of individuals working in high-stress occupations.

Indexed as

AnxietyDepressionFatigueMental HealthAdultFemaleHumansLatent Class AnalysisMaleMiddle AgedSouth AfricaSurveys and QuestionnairesYoung Adultanxietycynicismdepressionfatiguefirst respondersparamedicspolice

Identifiers

PMID39767522
PMCPMC11675854

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.