Abstract
Objective: Depression is a serious public health problem in coal miners that not only affects their physical health and quality of life but also leads to a decline in productivity and a high economic burden. The primary purpose of the current study was to evaluate the psychometric properties of the Center for Epidemiological Studies-Depression (CES-D) scale. The secondary aim was to investigate the prevalence of depression among coal miners in Shanxi Province, China. Methods: Coal miners (3314, 86.60% men) were selected and evaluated with the CES-D from February 1 to April 30, 2021. The factor structure of the CES-D scale was analyzed using exploratory (EFA) and confirmatory factor analyses (CFA). Cronbach’s α and McDonald’s Ω were calculated to evaluate the internal consistency of the CES-D. Results: The prevalence of depressive symptoms among coal miners was 54.68%. The EFA results suggested that a three-factor structure model with 18 items was the best fit, including Depressed Affect, Interpersonal Problems, and Retarded Activity, which accounted for 54.37% of the total variance. The CFA indicated that this factor structure fit the data adequately (χ2 = 217.408, df = 87, CMIN/DF = 2.49, RMSEA = 0.055, CFI = 0.969, TLI = 0.962, IFI = 0.969). Additionally, the overall Cronbach’s α and McDonald’s Ω of the CES-D were 0.949 and 0.950, respectively. The CES-D had an excellent reliability and validity in the present sample of coal miners. Conclusion: The three-factor structure of CES-D with 18 items can best fit the data from coal miners living in Shanxi Province. The reliability and validity of the CES-D were in line with the requirements of psychometric test. The scale is suitable for screening depression among coal miners in China.
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Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- BDI-II:
-
Beck Depression Inventory
- CES-D:
-
Center for Epidemiological Studies-Depression
- CFA:
-
Confirmatory Factor Analysis
- CFI:
-
Comparative Fit Index
- DA:
-
Depressed Affect
- df :
-
degrees of free
- EFA:
-
Exploratory Factor Analysis
- HAM-D:
-
Hamilton Depression Rating Scale
- IFI:
-
Incremental Fit Index
- IP:
-
Interpersonal Problems
- KMO:
-
Kaiser-Meyer-Olkin
- MLEFA:
-
Maximum Likelihood Exploratory Factor Analysis
- PHQ-9:
-
9-item Patient Health Questionnaire
- RA:
-
Retarded Activity
- RMSEA:
-
Root Mean-Square Error of Approximation
- SC:
-
Somatic Complaints
- SD:
-
Standard Deviation
- TLI:
-
Tucker-Lewis Index
- WHO:
-
World Health Organization.
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Funding
The work was supported by the Project of Philosophy and Social Science Planning of Shanxi Province [grant number: No. 2020YJ128], the project of “Construction and multi-angle evaluation of the prognostic model of respiratory distress syndrome in premature infants” [grant number: No. 2023002] and the project of “Construction and practice of mental health management model for coal miners based on employee help plan”.
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Wenjun Cao contributed to the study conception and design. Material preparation, data collection and analysis were performed by Ruimin Chang, Lijun Zhang and Benli Zhang. The first draft of the manuscript was written by Ruimin Chang and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Chang, R., Zhang, L., Cao, W. et al. Factor structure of the Center for Epidemiological Studies Depression (CES-D) scale among Chinese coal miners. Curr Psychol 43, 2762–2770 (2024). https://doi.org/10.1007/s12144-023-04459-7
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DOI: https://doi.org/10.1007/s12144-023-04459-7