https://doi.org/10.4081/itjm.2021.1444

Assessment of quality of life in type 2 diabetes mellitus patients using World Health Organization quality of life-BREF questionnaire and appraisal of diabetes scale - a cross-sectional study

Vol. 15 No. 3 (2021)
Submitted: 10 December 2020
Accepted: 10 May 2021
Published: 5 October 2021
Quality of life, diabetes mellitus, questionnaires, comorbidity, World Health Organization.
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Authors

Supriya Patil
Department of Preventive and Social Medicine (PSM), Krishna Institute of Medical Sciences, Karad (Maharashtra), India.
Yamini Patil
Department of Obstetrics and Gynecology, Krishna Institute of Medical Sciences, Karad (Maharashtra), India.
Sanjay Kumar Patil
dryspmaher@gmail.com
Department of Obstetrics and Gynecology, Krishna Institute of Medical Sciences, Karad (Maharashtra), India.

Diabetes is a chronic metabolic disorder that disturbs the quality of life (QOL) of patients. Therefore, evaluation of diabetes- related QOL could be a key outcome measure for its management. This study assessed the QOL in type 2 diabetes mellitus (T2DM) patients using the World Health Organization (WHO) quality of life (QOL)˗BREF questionnaire and disease-specific appraisal of diabetes scale (ADS). In this cross-sectional study, 520 T2DM patients were included. Patients' demographic data, clinical information was collected through interviews, and the WHOQOL-BREF instrument and ADS were used for the QOL of patients. Statistical analysis was performed by using R software (Version 3.6.0). The mean ADS scores were lower in controlled diabetic subjects (18.50±3.08) and higher in uncontrolled diabetic subjects (19.29±2.73) (P<0.05). For WHOQOL-BREF, the mean scores for all the domains (overall general health, physical, psychological, social, and environmental) were significantly higher in controlled diabetic subjects (P<0.001). In addition, the age, duration of diabetes, associated comorbidities, treatment, and HbA1c level of patients showed a highly significant correlation with WHOQOL-BREF (P<0.001). Diabetic patients had poor-to-average QOL. Therefore, public health measures and education of diabetic patients are essential to create more awareness for improving the QOL of T2DM.

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Citations

Crossref
Scopus
Google Scholar
Europe PMC
Powers AC. Diabetes mellitus. In: Longo D, Kasper D, Jameson J, Fauci A, Hauser S, Loscalzo J, eds. Harrison’s principles of internal medicine, 18th ed. New York, NY: McGraw Hill; 2012. pp 2968-3003.
Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol 2018;14:88-98. DOI: https://doi.org/10.1038/nrendo.2017.151
Ali S, Stone MA, Peters JL, et al. The prevalence of co-morbid depression in adults with type 2 diabetes: A systematic review and meta-analysis. Diabet Med 2006;23:1165-73. DOI: https://doi.org/10.1111/j.1464-5491.2006.01943.x
World Health Organization. WHOQOL-BREF: introduction, administration, scoring and generic version of the assessment: field trial version, December 1996. Geneva: World Health Organization; 1996.
Lin CY, Lee TY, Sun ZJ, et al. Development of diabetes-specific quality of life module to be in conjunction with the World Health Organization quality of life scale brief version (WHOQOL-BREF). Health Qual Life Outcomes 2017;15:167. DOI: https://doi.org/10.1186/s12955-017-0744-3
Carey MP, Jorgensen RS, Weinstock RS, et al. Reliability and validity of the appraisal of diabetes scale. J Behav Med 1991;14:43-51. DOI: https://doi.org/10.1007/BF00844767
Garratt AM, Schmidt L, Fitzpatrick R. Patient-assessed health outcome measures for diabetes: a structured review. Diabet Med 2002;19:1-11. DOI: https://doi.org/10.1046/j.1464-5491.2002.00650.x
Papadopoulos AA, Kontodimopoulos N, Frydas A, et al. Predictors of health-related quality of life in type II diabetic patients in Greece. BMC Public Health 2007;7:186. DOI: https://doi.org/10.1186/1471-2458-7-186
Bani-Issa W. Evaluation of the health-related quality of life of Emirati people with diabetes: integration of sociodemographic and disease related variables. East Mediterr Health J 2011;17:825-30. DOI: https://doi.org/10.26719/2011.17.11.825
Borrott N, Bush R. Measuring quality of life among those with type 2 diabetes in primary care. Queensland: Healthy Communities Research Centre, University of Queensland; 2008. pp 1-25.
Imayama I, Plotnikoff RC, Courneya KS, Johnson JA. Determinants of quality of life in adults with type 1 and type 2 diabetes. Health Qual Life Outcomes 2011;9:115. DOI: https://doi.org/10.1186/1477-7525-9-115
Daniel WW, editor. Biostatistics: a foundation for analysis in the health sciences. 7th ed. New York: John Wiley & Sons; 1999.
Patel B, Oza B, Patel K, et al. Health related quality of life in type-2 diabetic patients in Western India using World Health Organization Quality of Life–BREF and appraisal of diabetes scale. Int J Diabetes Dev Ctries 2014;34:100-7. DOI: https://doi.org/10.1007/s13410-013-0162-y
Prasad BG. Social classification of Indian families. J Indian Med Assoc 1968;51:365-6.
All-India Consumer Price Index (General) for Industrial Workers (Base 1982=100); November 3 2015. Available from: http://cyberjournalist.org.in/manisana/aicpinew.html Accessed: 20 July 2016.
Goldney RD, Phillips PJ, Fisher J, Wilson DH. Diabetes, depression, and quality of life: a population study. Diabetes Care 2004;27:1066-70. DOI: https://doi.org/10.2337/diacare.27.5.1066
Ramesh R, Kumar SV, Gopinath S, et al. Diabetic knowledge of rural community and drug utilization pattern in a tertiary care hospital. Int J Pharm Life Sci 2011;2:531-5.
Patel M, Patel IM, Patel YM, Rathi SK. A hospital-based observational study of type 2 diabetic subjects from Gujarat, India. J Health Popul Nutr 2011;29:265-72. DOI: https://doi.org/10.3329/jhpn.v29i3.7874
Srinivas HK, Venkatesha M, Prasad R. Quality of life assessment among type 2 diabetic patients in rural tertiary centre. Int J Med Sci Public Health 2014;3:415-7. DOI: https://doi.org/10.5455/ijmsph.2014.260120143
Kolawole BA, Mosaku SK, Ikem RT. A comparison of two measures of quality of life of Nigerian clinic patients with type 2 diabetes mellitus. Afr Health Sci 2009;9:161-6.

How to Cite

Patil, S. ., Patil, Y. ., & Patil, S. K. (2021). Assessment of quality of life in type 2 diabetes mellitus patients using World Health Organization quality of life-BREF questionnaire and appraisal of diabetes scale - a cross-sectional study. Italian Journal of Medicine, 15(3). https://doi.org/10.4081/itjm.2021.1444
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