Psychometric Properties of the Quick Inventory of Depressive Symptomatology (QIDS-SR) in Iranian Military Community

Document Type : Original Research

Authors

1 Department of Clinical Psychology, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran

2 Department of Psychiatry, Medicine Faculty, Aja University of Medical Sciences, Tehran, Iran

3 Family Research Institute, Shahid Beheshti University, Tehran, Iran

Abstract

Background and Aim: Military personnel are prone to depression due to their job’s nature and requirements. Therefore, the use of accurate and efficient screening tools to diagnose depression is essential. The aim of this study is to investigate the psychometric properties of the Iranian version of the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) in the military community.
Methods: The present study is a descriptive-correlational and validation study. In this regard, a sample of 410 volunteers was chosen from the 505th specialized military psychiatric hospital of the Islamic Republic of Iran. In addition to the demographic questionnaire, participants also completed the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) and the Beck Depression Inventory II (BDI-II). Then the face and content validity, internal consistency, test-retest validity, cut-off point, and sensitivity and specificity of the inventory were analyzed by using qualitative method, Cronbach's alpha, Pearson correlation coefficient, independent means comparison test, and receiver operating curve analysis which were all done via the SPSS-26 software.
Results: The results showed that this inventory has good content and face validity. The internal consistency of 0.91 and the reliability coefficient of the test-retest indicates the stability of the scores in the interval of 3 days. The independent t-test showed that this inventory can differentiate between depressed and non-depressed people. The sensitivity of the inventory was 0.87 and its specificity was 0.73. Therefore, according to the most appropriate sensitivity and specificity, the cut-off point of the quick inventory of depressive symptomatology was 17.
Conclusion: The findings indicated that the list of quick inventory of depressive symptomatology has good validity and reliability among the Iranian military population and can be used in research and clinical situations.

Keywords

References

1. Gebeyehu D, Negaa D, Tezera Z. Depression in Adults with a Physical Disability; an Institution Based Cross Sectional Study. Journal of Depression and Anxiety. 2020;9(365):2167-1044.20. doi: 10.35248/2167-1044.20.9.365. 2. James SL, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018;392(10159):1789-858. doi: 10.1016/S0140-6736(18)32279-7 3. Houtenville A, Boege S. 2019 Annual Report on People with Disabilities in America. Institute on Disability, University of New Hampshire. 2020. 4. Noh J-W, Kwon YD, Park J, Oh I-H, Kim J. Relationship between physical disability and depression by gender: a panel regression model. PloS one. 2016;11(11):e0166238. doi: 10.1371/journal.pone.0166238 5. Barnett T. Assessing Drug Diagnosis in Treating Bipolar, Depression and Generalized Anxiety. Journal of Depression and Anxiety. Journal of Depression and Anxiety. 2020;9(3):362. doi: 10.35248/2167-1044.20.9.362 6. Veisi B, Rahmati-Najarkolaei F, Ahmadi S. Impact of positive-skill training on general health and spiritual well-being of soldiers. Journal of Military Medicine. 2019;21(2):161-7.[In Persian] 7. Shekari H, Yousefi S, Ahmadi M. Study of Frequency and Severity of Depression in Bandar Lengeh Air Defense Forces. Paramedical Sciences and Military Health. 2018;13(1):27-32. [In Persian] 8. Britton PC, Ouimette PC, Bossarte RM. The effect of depression on the association between military service and life satisfaction. Quality of life Research. 2012;21(10):1857-62. doi: 10.1007/s11136-011-0104-4 9. McGuire A, Dobson A, Mewton L, Varker T, Forbes D, Wade D. Mental health and service use: men who served in the Australian military, women who received Department of Veterans' Affairs benefits, and the general population. ANZ Journal of Public Health. 2015;39(6):524-9. doi: 10.1111/1753-6405.12431 10. Stevelink S, Malcolm E, Mason C, Jenkins S, Sundin J, Fear N. The prevalence of mental health disorders in (ex-) military personnel with a physical impairment: a systematic review. Occupational and Environmental Medicine. 2015;72(4):243-51. doi: 10.1136/oemed-2014-102207 11. Gadermann AM, Engel CC, Naifeh JA, Nock MK, Petukhova M, Santiago PN, et al. Prevalence of DSM-IV major depression among US military personnel: meta-analysis and simulation. Military medicine. 2012;177(suppl_8):47-59. doi: 10.7205/milmed-d-12-00103 12. Rahnejat AM, Bahamin G, Sajadian R, Donyavi V. Epidemiological study of psychological disorders in one of the ground units military forces of Islamic Republic of Iran. Journal of Military Psychology. 2011;2(6):27-36. [In Persian] 13. Rahmani J, Milajerdi A, Dorosty-Motlagh A. Association of the Alternative Healthy Eating Index (AHEI-2010) with depression, stress and anxiety among Iranian military personnel. BMJ military health. 2018;164(2):87-91. doi: 10.1136/jramc-2017-000791 14. Liu Y, Collins C, Wang K, Xie X, Bie R. The prevalence and trend of depression among veterans in the United States. Journal of affective disorders. 2019;245:724-7. doi: 10.1016/j.jad.2018.11.031 15. Surís A, Holder N, Holliday R, Clem M. Psychometric validation of the 16 item quick inventory of depressive symptomatology self-report version (QIDS-SR16) in military veterans with PTSD. Journal of Affective Disorders. 2016;202:16-22. doi:10.1016/j.jad.2016.05.029 16. Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B, Klein DN, et al. The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biological psychiatry. 2003;54(5):573-83. doi: 10.1016/s0006-3223(02)01866-8 17. Rush AJ, Giles DE, Schlesser MA, Fulton CL, Weissenburger J, Burns C. The inventory for depressive symptomatology (IDS): preliminary findings. Psychiatry Research. 1986;18(1):65-87. doi: 10.1016/0165-1781(86)90060-0 18. Rush AJ, Gullion CM, Basco MR, Jarrett RB, Trivedi MH. The inventory of depressive symptomatology (IDS): psychometric properties. Psychological Medicine. 1996;26(3):477-86. doi: 10.1017/s0033291700035558 19. Rush AJ, Trivedi MH, Carmody TJ, Ibrahim HM, Markowitz JC, Keitner GI, et al. Self-reported depressive symptom measures: sensitivity to detecting change in a randomized, controlled trial of chronically depressed, nonpsychotic outpatients. Neuropsychopharmacology. 2005;30(2):405-16. doi: 10.1038/sj.npp.1300614 20. Trivedi MH, Rush A, Ibrahim H, Carmody T, Biggs M, Suppes T, et al. The Inventory of Depressive Symptomatology, Clinician Rating (IDS-C) and Self-Report (IDS-SR), and the Quick Inventory of Depressive Symptomatology, Clinician Rating (QIDS-C) and Self-Report (QIDS-SR) in public sector patients with mood disorders: a psychometric evaluation. Psychological Medicine. 2004;34(1):73-82. doi: 10.1017/s0033291703001107 21. Roniger A, Späth C, Schweiger U, Klein J. A psychometric evaluation of the German version of the quick inventory of depressive symptomatology (QIDS-SR16) in outpatients with depression. Fortschritte Der Neurologie· Psychiatrie. 2015;83(12):e17-e22. doi: 10.1055/s-0041-110203 22. Liu J, Xiang Y-T, Wang G, Zhu X-Z, Ungvari GS, Kilbourne AM, et al. Psychometric properties of the Chinese versions of the Quick Inventory of Depressive Symptomatology–clinician rating (C-QIDS-C) and self-report (C-QIDS-SR). Journal of Affective Disorders. 2013;147(1-3):421-4. doi: 10.1016/j.jad.2012.08.035 23. Trujols J, de Diego-Adeliño J, Feliu-Soler A, Iraurgi I, Puigdemont D, Álvarez E, et al. The Spanish version of the quick inventory of depressive symptomatology-self-report (QIDS-SR16): a psychometric analysis in a clinical sample. Journal of affective disorders. 2014;169:189-96. doi: 10.1016/j.jad.2014.08.011 24. Gili M, Lopez-Navarro E, Homar C, Castro A, García-Toro M, Llobera J, et al. Propiedades psicométricas de la versión española de la escala QIDS-SR 16 en pacientes con trastorno depresivo. Actas Espanolas de Psiquiatria. 2014;42(6). 292-9. 25. Ma X-R, Hou C-L, Zang Y, Jia F-J, Lin Y-Q, Li Y, et al. Could the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR) be used in depressed schizophrenia patients? Journal of affective disorders. 2015;172:191-4. doi: 10.1016/j.jad.2014.09.051 26. Lamoureux BE, Linardatos E, Fresco DM, Bartko D, Logue E, Milo L. Using the QIDS-SR16 to identify major depressive disorder in primary care medical patients. Behavior Therapy. 2010;41(3):423-31. doi: 10.1016/j.beth.2009.12.002 27. Cameron IM, Crawford JR, Cardy AH, du Toit SW, Lawton K, Hay S, et al. Psychometric properties of the Quick Inventory of Depressive Symptomatology (QIDS-SR) in UK primary care. Journal of Psychiatric Research. 2013;47(5):592-8. doi: 10.1016/j.jpsychires.2013.01.019 28. Reilly TJ, MacGillivray SA, Reid IC, Cameron IM. Psychometric properties of the 16-item Quick Inventory of Depressive Symptomatology: a systematic review and meta-analysis. Journal of Psychiatric Research. 2015;60:132-40. doi: 10.1016/j.jpsychires.2014.09.008 29. Beck AT. Cognitive models of depression.Journal of Cognitive Psychotherapy: An InternationalQuarterly. An International Quarterly. 1987;1:5–37. 30. Beck AT, Steer RA, Brown GK. Beck Depression Inventory Manual. The Psychological Corporation. San Antonio, TX. 1996:785-91. 31. Stefan-Dabson K, Mohammadkhani P, Massah-Choulabi O. Psychometrics characteristic of Beck Depression Inventory-II in patients with magor depressive disorder. Archives of Rehabilitation. 2007;8:82-0. [In Persian] 32. Rahimi C. Application of the beck depression inventory-II in Iranian University students. Clinical Psychology and Personality. 2014;12(1):173-88.[In Persian] 33. Mergen H, Bernstein IH, Tavli V, Ongel K, Tavli T, Tan S. Comparative validity and reliability study of the QIDS-SR16 in Turkish and American college student samples. Klinik Psikofarmakoloji Bülteni-Bulletin of Clinical Psychopharmacology. 2011;21(4):289-301. doi: 10.5455/bcp.20110223124825 34. Chen C, Dai S, Shi L, Shen Y, Ou J. Associations Between Attention Deficit/Hyperactivity Disorder and Internet Gaming Disorder Symptoms Mediated by Depressive Symptoms and Hopelessness Among College Students. Neuropsychiatric Disease and Treatment. 2021;17:2775-82. doi: 10.2147/NDT.S325323 35. Lako IM, Wigman JT, Klaassen R, Slooff CJ, Taxis K, Bartels-Velthuis AA. Psychometric properties of the self-report version of the Quick Inventory of Depressive Symptoms (QIDS-SR16) questionnaire in patients with schizophrenia. BMC Psychiatry. 2014;14(1):1-8. doi: 10.1186/s12888-014-0247-2
Journal of Military Medicine
Volume 24, Issue 4 - Serial Number 113
July and August 2022
Pages 1210-1220

Files

Share

How to cite

Statistics