MétaCan
Menu
Back to cohort
Record W3169109969 · doi:10.3233/wor-213500

The correlation between workers’ working pressure and physical and mental health analyzed by the job demand-resource stress model

2021· article· en· W3169109969 on OpenAlexaff
Jingfu Lu, Yan-Liang Yu, Yang Zhao, Michelle Jenkin

Bibliographic record

VenueWork · 2021
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsYork University
Fundersnot available
KeywordsCronbach's alphaMental healthPsychologyWorkloadApplied psychologyReliability (semiconductor)Regression analysisClinical psychologyStatisticsPsychometricsComputer sciencePsychiatryMathematics

Abstract

fetched live from OpenAlex

BACKGROUND: Under the background of the information society, teachers' pressure from work and life is increasing. Meanwhile, the working pressure has a potential inevitable connection with the physical and mental health of teachers. OBJECTIVE: To analyze the correlation between working pressure of workers and mental health status, expand the application of the job demand-resource stress (JD-RS) model in the adjustment of working characteristic pressure, and achieve the coordinated development between working pressure and mental health. METHODS: The occupation of the teacher is taken as the research object. First, the pressure source questionnaire and Symptom Check List 90 (SCL-90) are chosen to measure the working pressure and mental health. Also, the reliability and validity of the pressure source questionnaire are tested. Second, the gender, duty, teaching age, and workload of teachers are chosen as the foundation for comparing and analyzing the impact of various dimensions and project factors on teachers' working pressure and mental health. Finally, based on the method of univariate linear regression analysis, the correlation between teachers' working pressure and mental health is analyzed and characterized. RESULTS: The measurement tool based on the pressure source questionnaire has good performance reliability and validity. The five dimensions of Cronbach's coefficients are all greater than 0.8, and the indicators of fitting all meet psychometrics requirements. Significance analysis shows that different genders, duties, teaching ages, and workloads have different levels of significant influence on teachers' working pressure and mental health. Linear regression analysis shows that teachers' working pressure has a significant impact on their physical and mental health, which has a predictive effect. Teachers who bear high-intensity pressure have psychological problems. CONCLUSIONS: The research based on the JD-RS model has a positive role in promoting the balanced and coordinated development of working pressure and the physical and mental health of employed workers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.339
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueWorkSame topicWorkplace Health and Well-beingFrench-language works237,207