Psychometric Properties of the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR) in Depressed Adolescents

Wu-Yang Zhang; Yan-Jie Zhao; Yao Zhang; Fan He; Hong-Qing Pan; Teris Cheung; Gabor S Ungvari; Shu-Ying Li; Yu-Tao Xiang

doi:10.3389/fpsyt.2020.598609

Psychometric Properties of the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR) in Depressed Adolescents

Front Psychiatry. 2020 Dec 9:11:598609. doi: 10.3389/fpsyt.2020.598609. eCollection 2020.

Authors

Wu-Yang Zhang¹, Yan-Jie Zhao^{2

3

4}, Yao Zhang¹, Fan He⁵, Hong-Qing Pan¹, Teris Cheung⁶, Gabor S Ungvari^{7

8}, Shu-Ying Li¹, Yu-Tao Xiang^{2

3

4}

Affiliations

¹ Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
² Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, China.
³ Center for Cognition and Brain Sciences, University of Macau, Macao, China.
⁴ Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao, China.
⁵ The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital, The Advanced Innovation Center for Human Brain Protection, School of Mental Health, Capital Medical University, Beijing, China.
⁶ School of Nursing, Hong Kong Polytechnic University, Hong Kong, China.
⁷ Division of Psychiatry, School of Medicine, University of Western Australia/Graylands Hospital, Perth, WA, Australia.
⁸ Department of Psychiatry, University of Notre Dame Australia, Fremantle, WA, Australia.

Abstract

Background: Accurate and reliable self-report measurement tools examining depressive symptoms are scant in child psychiatry. This study assessed the psychometric properties of the Chinese Version of the Quick Inventory of Depressive Symptomatology-Self-Report (C-QIDS-SR) in depressed adolescents in China. Methods: Adolescents with major depressive episodes or bipolar depressive episodes were assessed using the C-QIDS-SR. The structure validity of the C-QIDS-SR was estimated using principal component analysis with varimax rotation. Results: A total of 246 depressed adolescents were included in the study. Cronbach's alpha was 0.77. The correlation coefficient between the baseline and endpoint assessments was 0.49 (p < 0.001), whereas, the correlation coefficient between the C-QIDS-SR and the Hamilton Rating Scale for Depression-17 items (HAMD-17) was 0.63 (p < 0.001). Principal component analysis with varimax rotation demonstrated the unidimensional structure of the C-QIDS-SR. Conclusion: The C-QIDS-SR is a reliable and valid instrument with acceptable psychometric properties to measure depressive symptoms in adolescents.

Keywords: C-QIDS-SR; adolescents; depression; reliability; validity.