The influence of unhealthy lifestyles and habits on hypertension in data
Keywords:
Hypertension, Suburban, Rural, Linear regression, Predictive modelsAbstract
Serious illnesses like hypertension are frequently brought on by unhealthy eating habits and lifestyle choices. This disease, which manifests as fat, smoke, stress, and a lack of physical exercise, is not limited to metropolitan regions- it can also occur in suburban or rural areas. This study investigates the relationship between rural lifestyles and consumption habits with hypertension using data from BPS (BPS-Statistic Indonesia) Magelang Regency in Central Java. The population covered by the data includes 14 settlements, 10 columns, and 70 data points. The study’s findings, which were derived by multivariate algorithms and linear regression, indicate that smoking and consuming processed foods and beverages both contribute to hypertension (74.76%). Particularly for rural areas, this study aids in the development of predictive models that identify and suggest healthy lifestyle modifications.
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