Hypertension is a major global health issues and a leading cause of mortality, particularly among elderly populations. This study aimed to analyze factors contributing to hypertension in elderly populations at community health posts in Surakarta. The research employed a cross-sectional design with a total sample of 40 elderly individuals selected using purposive sampling. The variables examined included age, gender, cholesterol levels, blood glucose, body mass index (BMI), and family history of hypertension. Data were analyzed using Chi-square and binary logistic regression tests. The results showed that BMI (OR = 7.47), elevated cholesterol levels (OR = 4.39), and family history (OR = 3.86) were significant predictors of hypertension, while blood glucose levels and age were not statistically significant in multivariate analysis. These findings indicate that metabolic and genetic factors play a more dominant role compared to demographic factors. In conclusion, controlling body weight and lipid levels is essential to reduce hypertension risk among the elderly.
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