Evidence map›Paper›PMID 38246619›Full record

ArticleIndustrial health2024

Predicting physical and mental health status through interview-based evaluation of work stress: initial attempts to standardize the interviewing method.

Keita Kiuchi, Xin Kang, Ryota Nishimura, Manabu Sasayama, Kazuyuki Matsumoto

Abstract read
In one paragraph

Article in Industrial health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Keita KiuchiNational Institute of Occupational Safety and Health, Japan Organization of Occupational Health and Safety, Japan.
Xin KangGraduate School of Technology, Industrial and Social Science, Tokushima University, Japan.
Ryota NishimuraGraduate School of Technology, Industrial and Social Science, Tokushima University, Japan.
Manabu SasayamaNational Institute of Technology Kagawa College, Japan.
Kazuyuki MatsumotoGraduate School of Technology, Industrial and Social Science, Tokushima University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study conducted an interview-based stress evaluation that considered the psychosocial models of work stress and verified the evaluation's predictive validity. A four-stage assessment comprising a pre-survey, pre-interview questionnaire, stress assessment interview, and post-survey after one month was conducted with 50 Japanese workers. Additionally, 16 occupational health professionals provided stress evaluations based on recorded interview videos. Variables based on intraclass correlation coefficients (ICCs) were computed in multiple ways to compare the agreement among the evaluators. The generalized estimating equation (GEE) was conducted to evaluate the prediction models. The overall ICC among the evaluators was 0.58. The GEE revealed that the mean score of the evaluators in the interview-based stress evaluation significantly predicted psychological symptoms (β =2.02, p=0.019), burnout (β =0.77, p<0.001), and well-being (β =-0.64, p=0.007) one month later, even after adjusting for the self-reported stress levels measured in the pre-survey. The predictive validity of the proposed interview-based stress evaluation was confirmed. Although there are several challenges in standardizing this evaluation, semi-structured interviews are an effective tool for understanding work stress.

Indexed as

Interviews as TopicOccupational StressAdultBurnout, ProfessionalFemaleHealth StatusHumansJapanMaleMental HealthMiddle AgedReproducibility of ResultsStress, PsychologicalSurveys and QuestionnairesArtificial intelligenceBurnoutChronic stressInterview-based assessmentJob stressMental healthStress assessmentWell-being

Identifiers

PMID38246619
PMCPMC11292312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.