Key result
Richest wealth quintile is linked to ~190% higher diabetes odds in women versus the poorest.
Why the study?
Hypertension and diabetes are rapidly rising major mortality risks in developing nations, prompting an evaluation of their prevalence and risk factors in northeastern and south Indian regions.
Cross-Sectional (n=202,812)
Yes
Odds Ratio: 2.9 (95% CI 2.66–3.22)
The study highlights a high prevalence of diabetes and hypertension in specific Indian regions, strongly associated with wealth, tobacco, and alcohol use, emphasizing the need for targeted lifestyle interventions.
Regional hypertension variations warrant targeted screening; leaves open hypothesis-generating research on multimorbidity interventions in India.
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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Verma et al. (2023) conducted a cross-sectional in Diabetes and Hypertension (n=202,812). Richest wealth quintile vs. Poorest wealth quintile was evaluated on Risk of diabetes in women (OR 2.9, 95% CI 2.66-3.22). Women in the richest wealth quintile had 2.9 times higher odds of diabetes compared to those in the poorest quintile, highlighting a significant positive association between wealth status and diabetes risk.
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