Key result
Pre-hypertension affects ~35% of a rural population and is strongly linked to obesity.
Why the study?
Obesity predicts hypertension development, but data were needed to determine the prevalence of obesity and pre-hypertension and identify their association.
There is a high prevalence of pre-hypertension and a strong association with obesity in rural populations, highlighting the need for early detection and lifestyle modification to prevent cardiovascular disease.
May warrant routine BP screening and lifestyle interventions in rural areas; extends urban data but leaves open long-term CVD benefit.
Introduction: Obesity is the best predictor for the development of hypertension. Weight loss and life style modification are the two major preventive measures for the development of Hypertension and diabetes. Objective: This study was done to determine the prevalence of Obesity and high normal blood pressure (pre-hypertension) and to identify the association between the two. Materials and methods: A study was conducted on 311 individuals who attended the medicine OPD over 6 months for detecting high blood pressure and obesity. The participants were subjected to anthropometric and clinical evaluation for detection of obesity and pre hypertension. Results: Among the total 311 study participants about 108 (34.72%) had pre-hypertension and 62% of them were obese. Among obese individuals, 49.2% had Stage I pre hypertension and 50.76% Stage II pre-hypertension. The prevalence of pre-hypertension was found to be high in individuals with obesity and found in non-obese individuals. CONCLUSION: The prevalence of pre-hypertension and its association with obesity excess was higher among the individuals in the rural setting of Chennai. Early detection of obesity and pre-hypertension can prevent the development of metabolic and cardio vascular disease.
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Jawahar et al. (2012) studied this question. Among 311 individuals, 34.72% had pre-hypertension, and 62% of them were obese, indicating a high prevalence of pre-hypertension in the rural population.
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