The Prevalance of comorbidity in India
DOI:
https://doi.org/10.26703/JCT.v17i1-1Keywords:
Comorbidity, NFHS-4 Survey, Non-Communicable Disease, Diabetes, HypertensionAbstract
Comorbidity is defined as the presence of one or more chronic non-communicable diseases. Recentlymany articles have illustrated that covid positive person with noncommunicable disease has poor health outcome. Covid positive patients with comorbidity such as diabetes, heart diseases and hypertension are more vulnerable to develop a severe health condition. For this study we have taken data from national family and health survey 2015-16 (NFHS-4 survey). This data is national representative and cross section data. The prevalence of comorbidity is highest in females, rural areas, older age people, and highly educated persons. This highlights the need of healthcare facilities at the time of covid pandemic. This research utilized nationally representative (large scale data) and multi-round data to find the prevalence(occurrence) of diabetes and heart disease comorbidity and explore the comorbidity determinants from the National Family Health Survey (NFHS-4). From this study, female, secondary education, and old age have a positive association with diabetes and heart disease comorbidity in India. Diabetes and heart disease comorbidity exhibit a major difficulty to healthcare directors and can increase costs. This study confirms the evidence based on the size of diabetes and its comorbidity circumstances within its boundaries. The prevalence of comorbidity is highest in females, rural areas, older age groups, and secondary education.
Classification-JEL: D15, I14, I15
Downloads
Metrics
References
Arokiasamy P, Uttamacharya U, Jain K, Biritwum RB, Yawson AE, Wu F, et al. The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: What does the study on global ageing and adult health (SAGE) reveal? BMC Med 2015; 13:1–16. https://doi.org/10.1186/s12916-015-0402-8.
Atlas IDFD. 463 PEOPLE LIVING WITH DIABETES million. 2019.
Bowry ADK, Lewey J, Dugani SB, Choudhry NK. The Burden of Cardiovascular Disease in Low- and Middle-Income Countries: Epidemiology and Management. Can J Cardiol 2015; 31:1151–9. https://doi.org/10.1016/j.cjca.2015.06.028.
Formiga F, Ferrer A, Sanz H, Marengoni A, Alburquerque J, Pujol R. Patterns of comorbidity and multimorbidity in the oldest old: The Octabaix study. Eur J Intern Med 2013; 24:40–4. https://doi.org/10.1016/j.ejim.2012.11.003.
Garin N, Koyanagi A, Chatterji S, Tyrovolas S, Olaya B, Leonardi M, et al. Global Multimorbidity Patterns: A Cross-Sectional, Population-Based, Multi-Country Study. Journals Gerontol - Ser A Biol Sci Med Sci 2016; 71:205–14.
Krishnan A, Ritvik, Thakur J, Gupta V, Nongkynrih B. How to Effectively Monitor and Evaluate NCD Programmes in India. Indian J Community Med 2011; 36:57. https://doi.org/10.4103/0970-0218.94710.
Kumar A, Misra A. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID- 19. The COVID-19 resource centre is hosted on Elsevier Connect, the company ' s public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. Diabetes & Metabolic Syndrome: Clinical Research & Reviews Impact of COVID-19 and comorbidities on health and economics: Focus on developing countries and India 2020.
Mutyambizi C, Chola L, Groot W, Pavlova M, Labadarios D, Hongoro C. The extent and determinants of diabetes and cardiovascular disease comorbidity in South Africa - Results from the South African National Health and Nutrition Examination Survey (SANHANES-1). BMC Public Health 2017; 17:1–11. https://doi.org/10.1186/s12889-017-4792-8.
Rajkumar AP, Thangadurai P, Senthilkumar P, Gayathri K, Prince M, Jacob KS. Nature, revalence and factors associated with depression among the elderly in a rural south Indian community. Int Psychogeriatrics 2009; 21:372–8. https://doi.org/10.1017/S1041610209008527.https://doi.org/10.1093/gerona/glv128.
Downloads
Published
How to Cite
License
Copyright (c) 2022 Journal of Commerce and Trade
This work is licensed under a Creative Commons Attribution 4.0 International License.