Original Research ArticleInternational Journal of Community Medicine and Public Health
Publication: Prevalence and risk factor of diabetes and hypertension in northeastern and south Indian region in India: insights from large scale survey data
Int J Community Med Public Health. 2023;10(12):4723-4732.DOI10.18203/2394-6040.ijcmph20233770
Abstract
Background Hypertension and diabetes, two of the major global risks for mortality are on a rapid rise in developing nations and leading risk factors for a hero sclerosis and its complications, including heart attacks and strokes. It is predicted that by 2030, India’s diabetes burden will be almost 87 million people. This study aimed to estimate the prevalence and risk factor of diabetes and hypertension in northeastern and south Indian region in India.
Methods This study utilised the fourth wave of the national family health survey (2015-16). Bivariate, multivariable logistic regression analyses were done to meet the aim of the paper.
Results Analysis shows that the highest prevalence of prehypertension is higher in Sikkim state whereas the prevalence of hypertension men is higher in also Sikkim state. Prevalence of women is prehypertension in Sikkim state and hypertensive women is higher prevalence in Nagaland and Assam state.
Conclusions Diabetes is developing with multi-morbidity like hypertension. Thus, there is need to provide the health education to diabetic people by public and private health care services and increase the health awareness in the society at grass root level. The main reason behind diabetes is heredity, less physical activity, higher body mass index, and increased cholesterol level in that group of south India and northeastern region. There is need that people should change their lifestyle and government should build the structure of city with health perspective.
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Affiliations
- Program officer, FHI-360, New Delhi, India
- ICMR-National Institute of Medical Statistics, Ansari Nagar, New Delhi, India
- Scholar, Bundelkhand University Uttar Pradesh, India
- Department of Mathematical Sciences and Computer Application, Bundelkhand University, Uttar Pradesh, India
- Department of Statistics, School of Sciences, Indira Gandhi National Open University, New Delhi, India
