A Study of Prevalence of Co-Morbidities, Self- Management and Awareness in Type II Multifactorial Diabetes Mellitus Patients: A Cross Sectional Study Conducted in The Darjeeling Hills Region of West Bengal, India

Main Article Content

Yuvraj Gurung
Karun Chhetri

Abstract

Background: The study is aimed to analyze and assess the perception, awareness, management and knowledge of the Type II Diabetes mellitus patients in the sample population. The objective is to gather pioneer data at the ground level and to analyze age of diagnosis, complication related to Type II diabetes, co-morbidities, physical and physiological parameters of the diabetic patients. Methods: A cross-sectional study was conducted in the Darjeeling Himalayan region through interviews and structured questionnaires. Data was analyzed using spss-16 and excel-2019. Results: A total of 243 (n=243) type II diabetes patients participated, 126 (51.9%) females and 117 (48.1%) males. Rural area: (n=159) (65.40%); Urban area: (n=84) (34.6%). The age of diagnosis of type II diabetes were highest in the age group of 46-55 years (39.51%). Significantly higher percentage of people with family history of diabetes were diagnosed at an early age, 26-35 years (9.38%) and 36-45 years (28.13%. Diabetic retinopathy 64.20% and hypertension 59.30% were highest among the patients of Darjeeling. In the study 96 patients (60.49%) self-monitored by using Glycometer and 147 patients (39.51%) did not self-monitor and 34.69% of patients who did not have self-monitoring facility recorded high blood glucose level as compared to only 21.8% patients having such facilities at home. In the survey, 76.53% of the patients had high current blood glucose level, change in food habits has not benefited the patients. Almost 75% of the people with diabetes have higher BMI of obese or overweight category. Metformin was prescribed (72.82%) followed by glimepiride (51.85%). Conclusion: In our study we have found very poor self-management of people towards diabetes. People should rather focus more on exercise, weight management and self -monitoring to maintain healthy blood glucose level and avoid diabetic co-morbidities which invariably brings physically, mentally and economically burden to the patients.

Downloads

Download data is not yet available.

Article Details

How to Cite
Yuvraj Gurung, & Karun Chhetri. (2023). A Study of Prevalence of Co-Morbidities, Self- Management and Awareness in Type II Multifactorial Diabetes Mellitus Patients: A Cross Sectional Study Conducted in The Darjeeling Hills Region of West Bengal, India. Journal of Advanced Zoology, 44(5), 403–412. https://doi.org/10.53555/jaz.v44i5.2898
Section
Articles
Author Biographies

Yuvraj Gurung

Assistant Professor, Cytogenetics and Molecular Biology Laboratory, Post Graduate Department of Zoology, Darjeeling Government College, Darjeeling -734 101, West Bengal, India.

Karun Chhetri

Scholar, Cytogenetics and Molecular Biology Laboratory, Post Graduate Department of Zoology, Darjeeling Government College, Darjeeling -734 101, West Bengal, India.

References

Padhi, S., Nayak, A.K. and Behera, A., 2020. Type II diabetes mellitus: a review on recent drug based therapeutics. Biomedicine & Pharmacotherapy, 131, p.110708.

World health organisation (WHO) on diabetes https://www.who.int/news-room/fact-sheets/detail/diabetes.

ICMR guidelines for management of type 2 diabetes 2018-Indian Council of Medical Research, Ansari Nagar, New Delhi – 110 029

Lim, J.U., Lee, J.H., Kim, J.S., Hwang, Y.I., Kim, T.H., Lim, S.Y., Yoo, K.H., Jung, K.S., Kim, Y.K. and Rhee, C.K., 2017. Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients. International journal of chronic obstructive pulmonary disease, pp.2465-2475.

The Asia-Pacific perspective : redefining obesity and its treatment.orld Health Organization. Regional Office for the Western Pacific. (‎2000)‎. The Asia-Pacific perspective : redefining obesity andits treatment. Sydney : Health Communications Australia. https://apps.who.int/iris/handle/10665/206936

Verma, Madhur1,; Rajput, Meena2; Kishore, Kamal3; Kathirvel, Soundappan4 Journal of Family Medicine and Primary Care: June 2019 - Volume 8 - Issue 6 - p 2095-2100doi: 10.4103/jfmpc.jfmpc_257_19

Zhang, H., Ni, J., Yu, C., Wu, Y., Li, J., Liu, J., Tu, J., Ning, X., He, Q. and Wang, J., 2019. Sex-based differences in diabetes prevalence and risk factors: a population-based cross-sectional study among low-income adults in China. Frontiers in endocrinology, 10, p.658.

Aung, W.P., Htet, A.S., Bjertness, E., Stigum, H., Chongsuvivatwong, V. and Kjøllesdal, M.K.R., 2018. Urban–rural differences in the prevalence of diabetes mellitus among 25–74 year-old adults of the Yangon Region, Myanmar: Two cross-sectional studies. BMJ open, 8(3), p.e020406.

Wainberg, M., Mahajan, A., Kundaje, A., McCarthy, M.I., Ingelsson, E., Sinnott-Armstrong, N. and Rivas, M.A., 2019. Homogeneity in the association of body mass index with type 2 diabetes across the UK Biobank: a Mendelian randomization study. PLoS medicine, 16(12), p.e1002982.

Cederberg, H., Stančáková, A., Kuusisto, J., Laakso, M. and Smith, U., 2015. Family history of type 2 diabetes increases the risk of both obesity and its complications: is type 2 diabetes a disease of inappropriate lipid storage?. Journal of internal medicine, 277(5), pp.540-551.

Adeva-Andany, M.M., Rañal-Muíño, E., Vila-Altesor, M., Fernández-Fernández, C., Funcasta-Calderón, R. and Castro-Quintela, E., 2019. Dietary habits contribute to define the risk of type 2 diabetes in humans. Clinical Nutrition ESPEN, 34, pp.8-17.

Nayar, S. and Madhu, S.V., 2020. Glycemic index of wheat and rice are similar when consumed as part of a north indian mixed meal. Indian Journal of Endocrinology and Metabolism, 24(3), p.251.

Wannamethee, S.G., Shaper, A.G., Perry, I.J. and Alberti, K.G.M.M., 2002. Alcohol consumption and the incidence of type II diabetes. Journal of Epidemiology & Community Health, 56(7), pp.542-548.

Frankum, S. and Ogden, J., 2005. Estimation of blood glucose levels by people with diabetes: a cross-sectional study. British Journal of General Practice, 55(521), pp.944-948.

Pati, S. and Schellevis, F.G., 2017. Prevalence and pattern of co morbidity among type2 diabetics attending urban primary healthcare centers at Bhubaneswar (India). PloS one, 12(8), p.e0181661.

Hao, Z., Huang, X., Liu, X., He, F. and Shao, H., 2022. Association Analysis Between Different Diabetic Family History and Gender with Diagnosed Age of Type 2 Diabetes Mellitus: A Cross-Sectional Study in Tianjin, China. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 59, p.00469580221086364.

Naseri, M.W., Esmat, H.A. and Bahee, M.D., 2022. Prevalence of hypertension in Type-2 diabetes mellitus. Annals of Medicine and Surgery, 78, p.103758.

Molyneaux, L., Constantino, M. and Yue, D., 2004. Strong family history predicts a younger age of onset for subjects diagnosed with type 2 diabetes. Diabetes, Obesity and metabolism, 6(3), pp.187-194.

Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors Peter Piko,1 Nardos Abebe Werissa,1,2 Szilvia Fiatal,3 Janos Sandor,3 and Roza Adany1,3,* doi: 10.3390/jpm11010006

Zheng, F.; Liu, S.; Liu, Y.; Deng, L. Effects of an outpatient diabetes self-management education on patients with type 2 diabetes in China: A randomized controlled trial. J. Diabetes Res. 2019, 2019, 1073131. [Google Scholar] [CrossRef]

Jurca, C.; Bembea, M.; Pallag, A.; Mureșan, M.; Szilagyi, A.; Balmoș, A.; Pop, O.; Jurca, A.; Dobjanschi, L. Pharmacotherapeutical considerations in the treatment and management of neonatal hyperammonaemia. Farmacia 2018, 66, 216–222. [Google Scholar]

Nitescu, M.; Furtunescu, F.L.; Otelea, M.; Rafila, A.; Streinu-Cercel, A. Prevalence of metabolic syndrome parameters in a Romanian population of young adults. Rom. Rev. Lab. Med. 2012, 20, 21–28. [Google Scholar]