Original ArtcileJournal of Young PharmacistsVol. 7 | Issue 3 | 2015 | pp. 206–216Open access
Assessment of Depression as Comorbidity in Diabetes Mellitus Patients using Beck Depression Inventory II (BDI II) Scale
- 1,2,3,4*,
- 1,
- 1,
- 1,
- 1,
- 1
- 1 Faculty of Pharmacy, Ziauddin University, Karachi, PAKISTAN.
- 2 Hamdard Institute of Pharmaceutical Sciences, Hamdard University, Karachi, PAKISTAN.
- 3 Department of Pharmacy, Clifton Hospital, Karachi, PAKISTAN.
- 4 The Royal Pharmaceutical Society of Great Britain, London, UNITED KINGDOM.
Published in Journal of Young Pharmacists
Correspondence: Atta Abbas
Faculty of Pharmacy, Ziauddin University, Karachi, PAKISTAN.; Hamdard Institute of Pharmaceutical Sciences, Hamdard University, Karachi, PAKISTAN.; Department of Pharmacy, Clifton Hospital, Karachi, PAKISTAN.; The Royal Pharmaceutical Society of Great Britain, London, UNITED KINGDOM.
Email: bg33bd@student.sunderland.ac.uk
Copyright: © 2015 Manuscript Technomedia. This is an open access article.
- Published:
- Feb 28, 2015
How to cite
Abbas, A., Nasir, H., Zehra, A., Noor, A., Jabbar, F. A., & Siddqui, B. (2015). Assessment of Depression as Comorbidity in Diabetes Mellitus Patients using Beck Depression Inventory II (BDI II) Scale. Journal of Young Pharmacists, 7(3), 206–216. https://doi.org/10.5530/jyp.2015.3.11
Abstract
Objective: The objective was to assess depression as comorbidity among patients of diabetes mellitus (DM) using Beck Depression Inventory II (BDI II) scale. Materials and Method: A cross sectional survey was conducted in Pakistan for 3 months targeting patients of diabetes mellitus DM and assessing their depression as a comorbidity using BDI II questionnaire. Data analysis was carried out using SPSS version 20. Descriptive statistics, cross tabulation and Chi square (X2) tests were employed. Results: Majority of the target group was normal (N=58, 28%) while a quarter of the sample suffers from mild depression (N=54, 26.1%). Some suffered from moderate depression (N=43, 20.8%) followed by a tenth of segment who suffered from severe depression (N=20, 9.7%). Few were reported to suffer from extreme episodes of depression (N=4, 1.9%). The depression was also statistically associated with patients’ BMI (<0.05), disease duration (<0.01), family history (<0.01) and glycated haemoglobin HbA1c (<0.01). Conclusion: Likelihood of suffering from depression in DM is high. Modifiable factors i.e. BMI, HBA1c, etc. and non modifiable factors of DM such as genetic predisposition and disease duration play an important role in occurrence of depression as comorbidity. Educating the patients about DM can prove effective in dealing with the disease and its complications since patients will be prepared and be taught aggressive self management which may also prove helpful in managing comorbid depression.
Keywords
Subject
Article metadata
| Title | Assessment of Depression as Comorbidity in Diabetes Mellitus Patients using Beck Depression Inventory II (BDI II) Scale |
|---|---|
| Authors | Atta Abbas; Hira Nasir; Anum Zehra; Anum Noor; Fareeha Abdul Jabbar; Bisma Siddqui |
| Affiliations | Faculty of Pharmacy, Ziauddin University, Karachi, PAKISTAN.; Hamdard Institute of Pharmaceutical Sciences, Hamdard University, Karachi, PAKISTAN.; Department of Pharmacy, Clifton Hospital, Karachi, PAKISTAN.; The Royal Pharmaceutical Society of Great Britain, London, UNITED KINGDOM. |
| Corresponding author | bg33bd@student.sunderland.ac.uk |
| Journal | Journal of Young Pharmacists |
| Volume / Issue | Vol. 7, Issue 3 (2015) |
Also in this issue
- Occurrence and Treatment of Common Health Problems in a Nigerian Communitypp. 49–53
- Standard measures of scientific journals’ credibility– current and future perspectivespp. 139–142
- Generic Medicines: Old wine in new bottle?pp. 143–144
- Knowledge, Attitude and Practice Concerning Pharmacogenomics among Pharmacists: A Systematic Reviewpp. 145–154
- Development and Progress of Pharmacoinformatics in Pharmaceutical and Health Sciencespp. 155–163
Readers Also Viewed
Development and Validation of UV/visible Spectrophotometric Method for Estimation of Piroxicam from Bulk and Formulation
Sandip Mohan Honmane, Kunal Rajaram Yadav, Yuvraj Dilip Dange
Apr 23, 2025
Effects of Artificial Intelligence on Academic Performance of Library and Information Science University Students: A Meta-Analysis (2023-2025)
Kayode Sunday John Dada
Aug 6, 2026
Bridging Innovation and Impact: A Multidisciplinary Approach to Contemporary Research Challenges
Mueen Ahmed KK
Aug 11, 2026