Factor Structure and Psychometric Properties of Zung Self-Rating Depression Scale in Women with a Sick Child

Authors

1 Azad University of Medical Sciences, Tehran, Iran.

2 Research Center for Addiction and Risky Behaviors, Iran University of Medical Sciences, Tehran, Iran.

3 Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.

4 Neuromusculoskeletal Research Center, Department of Physical Medicine and Rehabilitation, Iran University of Medical Sciences, Tehran, Iran

5 Department of psychiatry, Qazvin University of Medical Sciences, Qazvin, Iran.

6 Assistant Professor Community Medicine, Metabolic Diseases Research Center, Research Institute For Prevention Of Non-Communicable Diseases, Qazvin University Of Medical Sciences, Qazvin, Iran.

7 Masaudeh babakhanian, Behavioral sciences Ph.D student . Semnan University Of Medical Sciences, Social Determinant Of Health Research Center

8 Orthopedic Resident, Department of Orthopedic, Kerman University of Medical Sciences, Kerman, Iran.

9 Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran.

Abstract

Background
Considering the necessity of using a valid and reliable tool to assess depression in women and the lack of similar tools in Iran, the purpose of this study was to investigate the psychometric properties of the Zung Self-Rating Depression Scale (ZSDS) with an emphasis on factor analysis among Iranian women with sick children.
Materials and Methods
In the cross-sectional psychometric study, 102 eligible women were selected by multistage cluster sampling from various environments such as healthcare centers, hospitals, and public and private institutions, who completed the ZSDS. The reliability of the questionnaire was assessed using test-retest and internal consistency, and its validity was tested by confirmatory factor analysis (CFA).
Results
Cronbach's alpha coefficients for the total scale were equal to 0.73, and high test-retest reliability indicated the appropriate reliability of ZSDS. The CFA results indicated a poor fit of the model in determining the factors as initially expressed in ZSDS. After removing six questions with low factor loadings and freeing the covariance error between the two questions, the model was adequately fitted (CMIN/DF= 1.3, CFI= 0.92, TLI= 0.90, GFI= 0.89).
Conclusion
Based on our study, the ZSDS is convenient for identifying clinically significant depressive symptoms among women with sick children.

Keywords