Evidence map›Paper›PMID 38566067›Full record

ArticleBMC psychiatry2024

Measuring job stress of dental workers in China during the COVID-19 pandemic: reliability and validity of the hospital consultants' job stress questionnaire.

Huiqing Long, Li Yan, Xiaogang Zhong, Lu Yang, Yiyun Liu, Juncai Pu, Fangzhi Lou, Shihong Luo, Yingying Zhang, Yang Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Huiqing Long *College of Stomatology, Chongqing Medical University, 401147, Chongqing, China.
Li Yan *College of Medical Informatics, Chongqing Medical University, 400016, Chongqing, China.
Xiaogang ZhongNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, 400016, Chongqing, China.
Lu YangCollege of Stomatology, Chongqing Medical University, 401147, Chongqing, China.
Yiyun LiuNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, 400016, Chongqing, China.
Juncai PuNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, 400016, Chongqing, China.
Fangzhi LouCollege of Stomatology, Chongqing Medical University, 401147, Chongqing, China.
Shihong LuoCollege of Stomatology, Chongqing Medical University, 401147, Chongqing, China.
Yingying ZhangCollege of Stomatology, Chongqing Medical University, 401147, Chongqing, China.
Yang LiuCollege of Stomatology, Chongqing Medical University, 401147, Chongqing, China.
Ping JiCollege of Stomatology, Chongqing Medical University, 401147, Chongqing, China.
Xin JinCollege of Stomatology, Chongqing Medical University, 401147, Chongqing, China. 500934@hospital.cqmu.edu.cn.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

National Natural Science Foundation of China No. 82370968the Natural Science Foundation of Chongqing CSTB2022NSCQ-MSX1148
6 · The paper itself

Abstract

backgroundThe Hospital Consultants' Job Stress Questionnaire (HCJSQ) has been widely used to assess sources and levels of job stress. However, its reliability and validity among Chinese dental workers have not been extensively studied. The objective of this study was to assess the reliability and validity of the HCJSQ specifically in Chinese dental workers.

methodsThe HCJSQ was used to explore the sources and the global ratings of job stress among Chinese dental workers. To assess the reliability and validity of the HCJSQ, various statistical measures were employed, including Cronbach's alpha coefficient, Spearman-Brown coefficient, Spearman correlation coefficient, exploratory factor analysis, confirmatory factor analysis, convergent validity, and discriminant validity.

resultsOf the participants, 526 (17.4%) reported high levels of stress, while 1,246 (41.3%) and 1,248 (41.3%) reported moderate and low levels of stress, respectively. The Cronbach's alpha coefficient for the modified HCJSQ was 0.903, and the Spearman-Brown coefficient was 0.904. Spearman correlation coefficient between individuals' items and the total score ranged from 0.438 to 0.785 (p < 0.05). Exploratory factor analysis revealed that three factors accounted for 60.243% of the total variance. Confirmatory factor analysis demonstrated factor loadings between 0.624 and 0.834 on the specified items. The fit indices of the confirmatory factor analysis indicated good model fit, with a Root Mean Square Error of Approximation of 0.064, Normative Fit Index of 0.937, Comparative Fit Index of 0.952, Incremental Fit Index of 0.952, Tucker-Lewis index of 0.941, and Goodness of Fit Index of 0.944. Additionally, the convergent validity and discriminant validity showed a good fit for the three-factor model.

conclusionThe results of this study confirm that Chinese dental workers experience high levels of stress, and the three-factor model of the HCJSQ proves to be a suitable instrument for evaluating the sources and levels of job stress among Chinese dental workers. Therefore, it is imperative that relevant entities such as hospitals, medical associations, and government take appropriate measures to address the existing situation.

Indexed as

COVID-19Occupational StressChinaConsultantsFactor Analysis, StatisticalHospitalsHumansPandemicsPsychometricsReproducibility of ResultsSurveys and QuestionnairesChinaDental workersJob stressReliabilityValidity

Identifiers

PMID38566067
PMCPMC10985848
OpenAlexW4393510492

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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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.