Background : Central obesity is a condition of excess abdominal fat in the abdomen. The prevalence of central obesity has increased every year. There are many causes of central obesity, some of them are religiosity, food intake, and physical activity. But research has shown that the correlation is inconsistently. It encourages the writer to find out the correlation between religiosity, food intake, and physical activity with central obesity, especially among medical students in Muhammadiyah University of Yogyakarta with highly religious institution. Method : An observational analytic design with cross sectional approach was used in this study. The samples are taken randomly by 130 respondents based on grade and sex. But after the process of data analized, there are 6 respondents were categorized as ouliers and should be exclude. So the respondent become 124 medical students in Muhammadiyah University of Yogyakarta. Religiosity is measured by modified questionare from other study. Food intake is measured by self estimating food record method. Physical activity is measured by The General Practitioner Physical Activity Questionnaire (GPPAQ). Multivariate data analysis using logistic regression. Result : The prevalence of central obesity among medical students in Muhammadiyah University of Yogyakarta is 22,6%. Logistic regression analysis shows that high level of religiosity has a correlation with the risk of central obesity with significancy value 0,033 (p<0,05). Then in socio-economic variables, average daily money more than Rp50.000 shows the correlation with central obesity with significancy value 0,006 (p<0,05). Family history of obesity also has a correlation with central obesity with significancy value 0,006 (p<0,05). Food intake and physical activity don’t show a significant correlation with central obesity. Conclusion : The correlation between religiosity, food intake, and physical activity with central obesity among medical students in Muhammadiyah University of Yogyakarta has a significant correlation with religiosity variable, socio-economic variable, and family history of obesity variable.