Skip to main content
Log in

Clarification the optimal cut-off values for Persian-language versions of depression screening tools in Iranian patients with type 2 diabetes

  • Research article
  • Published:
Journal of Diabetes & Metabolic Disorders Aims and scope Submit manuscript

Abstract

Introduction

Depression is the most common psychiatric disorder in patients with type 2 diabetes. There are many questionnaires to measure depression symptoms. These tools are generally used with the same cut-off points in different medical diseases. The present study investigates the optimal cut-off points of these tools in patients with type 2 diabetes in the Iranian diabetic population. The original version of this tool is prepared in Persian.

Method

Two-hundred and forty four patients with a diagnosis of diabetes were selected to participate in the study. The gold standard for diagnosing depression was the Structured Mini-International Neuropsychiatric Interview. We applied the cut-off points of the Persian versions of the Hospital Anxiety and Depression Scale (HADS), Beck Depression Inventory (BDI), Depression in Diabetes Self-Rating Scale (DDS-RS), Problematic Areas in Diabetes Survey (PAID), Hamilton Depression Rating Scale (HDRS) and Depression in Diabetes Self-Rating Scale (DDS-RS).

Results

23.8% of patients were diagnosed with depression. Depressed patients had higher levels of HbA1c and physical complaints than non-depressed patients. In all tools, the sum of Sensitivity and Specificity of our proposed cut-off points was better than the conventional cut-off points. In HADS, the results showed that this questionnaire performed better and more efficiently than other tools.

Conclusion

In patients with type 2 diabetes, it is better to use the proposed cut-off point’s specific to this disorder in the Iranian population. These cut-off points have a higher ability to identify depressed and non-depressed cases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107843.

    Article  Google Scholar 

  2. Kalra G, Gill S, Tang TS. Depression and diabetes distress in South Asian adults living in low- and middle-income countries: a scoping review. Can J Diabetes. 2020;44(6):521-9.e1.

    Article  Google Scholar 

  3. Wu CS, Hsu LY, Wang SH. Association of depression and diabetes complications and mortality: a population-based cohort study. Epidemiol Psychiatric Sci. 2020;29:e96.

    Article  Google Scholar 

  4. Rodríguez Calvín JL, Zapatero Gaviria A, Martín Ríos MD. Prevalence of depression in type 2 diabetes mellitus. Revista Clínica Española (English Edition). 2015;215(3):156–64.

    Article  Google Scholar 

  5. Palizgir M, Bakhtiari M, Esteghamati A. Association of depression and anxiety with diabetes mellitus type 2 concerning some sociological factors. Iran Red Crescent Med J. 2013;15(8):644–8.

    Article  Google Scholar 

  6. Ciechanowski P, Russo J, Katon W, Von Korff M, Ludman E, Lin E, et al. Influence of patient attachment style on self-care and outcomes in diabetes. Psychosom Med. 2004;66(5):720–8.

    Article  Google Scholar 

  7. Katon WJ, Rutter C, Simon G, Lin EH, Ludman E, Ciechanowski P, et al. The association of comorbid depression with mortality in patients with type 2 diabetes. Diabetes Care. 2005;28(11):2668–72.

    Article  Google Scholar 

  8. Gonzalez JS, Peyrot M, McCarl LA, Collins EM, Serpa L, Mimiaga MJ, et al. Depression and diabetes treatment nonadherence: a meta-analysis. Diabetes Care. 2008;31(12):2398–403.

    Article  Google Scholar 

  9. Ciechanowski PS, Katon WJ, Russo JE. Depression and diabetes: impact of depressive symptoms on adherence, function, and costs. Arch Intern Med. 2000;160(21):3278–85.

    Article  CAS  Google Scholar 

  10. Fisher L, Skaff MM, Mullan JT, Arean P, Glasgow R, Masharani U. A longitudinal study of affective and anxiety disorders, depressive affect and diabetes distress in adults with Type 2 diabetes. Diabetic Med: J Br Diabetic Assoc. 2008;25(9):1096–101.

    Article  CAS  Google Scholar 

  11. Pouwer F, Beekman AT, Lubach C, Snoek FJ. Nurses’ recognition and registration of depression, anxiety and diabetes-specific emotional problems in outpatients with diabetes mellitus. Patient Educ Couns. 2006;60(2):235–40.

    Article  Google Scholar 

  12. Hermanns N, Kulzer B, Krichbaum M, Kubiak T, Haak T. How to screen for depression and emotional problems in patients with diabetes: comparison of screening characteristics of depression questionnaires, measurement of diabetes-specific emotional problems and standard clinical assessment. Diabetologia. 2006;49(3):469–77.

    Article  CAS  Google Scholar 

  13. Carney RM, Freedland KE. Depression, mortality, and medical morbidity in patients with coronary heart disease. Biol Psychiat. 2003;54(3):241–7.

    Article  Google Scholar 

  14. Julian LJ. Measures of anxiety: State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and Hospital Anxiety and Depression Scale-Anxiety (HADS-A). Arthritis Care Res. 2011;63 Suppl 11(011):S467–72.

    Article  Google Scholar 

  15. Tyson RL, Brammer S, McIntosh D. Telehealth in psychiatric nursing education: lessons from the field. J Am Psychiatr Nurses Assoc. 2019;25(4):266–71.

    Article  Google Scholar 

  16. Barloon LF, Hilliard W. Legal considerations of psychiatric nursing practice. Nurs Clin North Am. 2016;51(2):161–71.

    Article  Google Scholar 

  17. Bujang MA, Adnan TH. Requirements for minimum sample size for sensitivity and specificity analysis. J Clin Diagn Res. 2016;10(10):YE01–6. https://doi.org/10.7860/JCDR/2016/18129.8744.

  18. Hedman E, Lekander M, Ljótsson B, Lindefors N, Rück C, Andersson G, et al. Optimal cut-off points on the health anxiety inventory, illness attitude scales and whiteley index to identify severe health anxiety. PLoS ONE. 2015;10(4):e0123412.

    Article  Google Scholar 

  19. Kawada T. Questionnaire survey on depression for patients with heart failure: validation for selecting appropriate cut-off points. Int J Cardiol. 2012;157(2):275.

    Article  Google Scholar 

  20. Arzaghi SM, Mahjouri MY, Heshmat R, Khashayar P, Larijani B. Psychometric properties of the Iranian version of the Problem Areas in Diabetes scale (IR-PAID-20). J Diabetes Metab Disord. 2011;10:1.

    Google Scholar 

  21. Kaviani H, Mousavi A. Psychometric properties of the Persian version of Beck Anxiety Inventory (BAI). Tehran Univ Med J TUMS Publ. 2008;66(2):136–40.

    Google Scholar 

  22. Ahmadpanah M, Sheikhbabaei M, Haghighi M, Roham F, Jahangard L, Akhondi A, et al. Validity and test-retest reliability of the Persian version of the Montgomery-Asberg Depression Rating Scale. Neuropsychiatr Dis Treat. 2016;12:603–7.

    PubMed  PubMed Central  Google Scholar 

  23. Zimmerman M, Martinez JH, Young D, Chelminski I, Dalrymple K. Severity classification on the Hamilton depression rating scale. J Affect Disord. 2013;150(2):384–8.

    Article  Google Scholar 

  24. Asghari A, Saed F, Dibajnia P. Psychometric properties of the Depression Anxiety Stress Scales-21 (DASS-21) in a non-clinical Iranian sample. Int J Psychol. 2008;2(2):82–102.

    Google Scholar 

  25. Baradaran HR, Mirghorbani SM, Javanbakht A, Yadollahi Z, Khamseh ME. Diabetes distress and its association with depression in patients with type 2 diabetes in Iran. Int J Prev Med. 2013;4(5):580–4.

    PubMed  PubMed Central  Google Scholar 

  26. Safaralizadeh F, Partovazam H. The correlation between depression and body mass index in female teenagers of Khoy during year 2009. Community Health Journal. 2017;5(1):17–24.

    Google Scholar 

  27. Cichoń E, Kiejna A, Kokoszka A, Gondek TM, Radzio R, Jastrzębski A, et al. People with diabetes need a lower cut-off than others for depression screening with PHQ-9. PLoS One. 2020;15(10):e0240209. https://doi.org/10.1371/journal.pone.0240209.

  28. Kokoszka A, Cichoń E, Obrębski M, Kiejna A, Rajba B. Cut-off points for Polish-language versions of depression screening tools among patients with type 2 diabetes. Prim Care Diabetes. 2020;14(6):663–71.

    Article  Google Scholar 

  29. Olokoba AB, Obateru OA, Olokoba LB. Type 2 diabetes mellitus: a review of current trends. Oman Med J. 2012;27(4):269.

    Article  CAS  Google Scholar 

  30. Davoudi M, Taheri AA, Foroughi AA, Ahmadi SM, Heshmati K. Effectiveness of acceptance and commitment therapy (ACT) on depression and sleep quality in painful diabetic neuropathy: a randomized clinical trial. J Diabetes Metab Disorders. 2020:1–8.

  31. Marso SP. The handbook of diabetes mellitus and cardiovascular disease. Limassol: Remedica; 2003.

    Google Scholar 

  32. Williams G, Pickup JC. Handbook of diabetes. Hoboken: Blackwell Publication; 2004.

    Google Scholar 

  33. Janghorbani M, Van Dam RM, Willett WC, Hu FB. Systematic review of type 1 and type 2 diabetes mellitus and risk of fracture. Am J Epidemiol. 2007;166(5):495–505.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rasti Emami Rad.

Ethics declarations

Ethical approval

Before administering the investigation, an individual session was held to justify all participants. In these sessions, ethical issues and explanations about the investigation were given to the individuals. Then, a consent form was obtained for all patients. Participants were convinced that their data and identities would be kept private. All procedures used in collecting survey data on which this article relies on, are in accordance with the ethical standards of the Helsinki Declaration of 1964 and subsequent amendments or ethical standards.

Consent for publication

Consent letter for publishing data was also received from participants.

Conflicts of interest

The authors certify that they have no competing interests.

Human and animal rights

Current research does not contain any interventions or studies with animals executed by any of the authors.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tamrchi, S., Davoudi, M., Khosrojerdi, Z. et al. Clarification the optimal cut-off values for Persian-language versions of depression screening tools in Iranian patients with type 2 diabetes. J Diabetes Metab Disord 20, 1359–1367 (2021). https://doi.org/10.1007/s40200-021-00866-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40200-021-00866-4

Keywords

Navigation