The Inventory of Depressive Symptomatology Self Report (IDS-SR): Psychometric properties of the Indonesian version
- PMID: 29059258
- PMCID: PMC5653354
- DOI: 10.1371/journal.pone.0187009
The Inventory of Depressive Symptomatology Self Report (IDS-SR): Psychometric properties of the Indonesian version
Abstract
Background: Depression screening and examination in Indonesia are highly challenging due to the disproportionately low number of mental health professionals in comparison to the Indonesian population. Self-report questionnaires on depression are cost-effective and time-efficient. The current study investigates the psychometric properties of the Indonesian Inventory of Depressive Symptomatology Self Report (IDS-SR).
Methods: The participants were 904 Indonesians (aged 16-61; 50.2% female), recruited via an online survey using Qualtrics. Confirmatory factor analysis of the one-factor, three-factor, and four-factor model were explored. Convergent and divergent validity of the total score of the Indonesian IDS-SR and each factor were examined, as well as the Cronbach's Alpha reliability. In addition, an optimal cut-off score for the Indonesian IDS-SR was established using ROC curve analysis.
Results: The three-factor model of "cognitive/mood", "anxiety/arousal", and "sleep disturbance" was the best fit with the Indonesian IDS-SR data. Convergent and divergent validity were good. Cronbach's Alpha reliability was excellent for the total score, good for the factors "cognitive/mood" and "anxiety/arousal", but insufficient for the factor "sleep disturbance". The optimal cut-off score of the Indonesian IDS-SR was 14, with 87% sensitivity and 86% specificity.
Conclusions: As a multifactorial instrument to measure depression that has good validity and reliability, the Indonesian IDS-SR can be used to assess depressive symptoms for the purpose of research and clinical practice. The optimal cut-off score of the Indonesian IDS-SR is in accordance with the internationally used cut-off score.
Conflict of interest statement
Figures
References
-
- Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJL, et al. Burden of depressive disorders by country, sex, age, and year: Findings from the Global Burden of Disease Study 2010. PLOS Medicine. 2013;10(11): e1001547 doi: 10.1371/journal.pmed.1001547 - DOI - PMC - PubMed
-
- World Health Organization. Mental health atlas 2014. Geneva: WHO Press; 2015.
-
- Stuart AL, Pasco JA, Jacka FN, Brennan SL, Berk M, Williams LJ. Comparison of self-report and structured clinical interview in the identification of depression. Compr Psychiatry. 2014;55(4): 866–869. doi: 10.1016/j.comppsych.2013.12.019 - DOI - PubMed
-
- Rush AJ, Giles DE, Schlesser MA, Fulton CL, Weissenburger JE, Burns CT. The Inventory of Depressive Symptomatology (IDS): Preliminary findings. Psychiatry Research. 1986;18: 65–87. - PubMed
-
- Rush AJ, Gullion CM, Basco MR, Jarrett RB, Trivedi MH. The inventory of depressive symptomatology (IDS): Psychometric properties. Psychological Medicine. 1996;26: 477–486. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials
