Most current statistical strategies for determining risk factors for hypertension (HT) among certain populations have proved inconclusive. In this study, the classification tree method, which is more practical and easy to understand than other statistical methods, was used to determine the risk for HT among outpatients in a clinic in Denizli province, western Turkey, between January 2002 and July 2004. The effects of 14 risk factors (body mass index, waist-to-hip ratio, age, serum total cholesterol, serum triglycerides, sex, HT in first-degree relatives, diabetes mellitus, smoking, stress factors, alcohol consumption, dyslipidemia in first-degree relatives, dyslipidemia [previously diagnosed], and saturated fat consumption) on HT were evaluated in this population. In all, 1761 adults at the outpatient clinic were recruited for lipid and HT measurements. The classification tree method revealed 7 main risk factors (body mass index, waist-to-hip ratio, sex, serum triglycerides, serum total cholesterol, HT in first-degree relatives, and saturated fat consumption) for HT. The findings of the present study suggest that the classification tree is a valuable statistical method for evaluating multiple risk factors for HT
