5D.02
TL;DRAbstract
Objective: In Japan, there are 47 prefectures with differences in topography, industrial structure, population distribution and hypertension rate as well. The authors’ home prefecture of Wakayama has the highest incidence of hypertension in the nation at 25.0%. This shows 7.6 point spread compared with the prefecture with the lowest rate at 17.4%. The aim of our study is to search for the reasons of high rate of hypertension in Wakayama, and to consider effective prevention of hypertension in Wakayama as well as in Japan. Design and method: Correlation analysis was performed using hypertension rate for each prefecture versus the variables of: 1. salt intake, 2. vegetable intake, 3. alcohol habits, 4. smoking habits, and 5. walking paces per day (walking), using 5% significance level. To find the social causes that impact walking, correlation analysis was performed with the variables of: 1. number of train stations, 2. vehicle ownership rate, 3. light-vehicle ownership rate, and 4. slop
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Objective: In Japan, there are 47 prefectures with differences in topography, industrial structure, population distribution and hypertension rate as well. The authors’ home prefecture of Wakayama has the highest incidence of hypertension in the nation at 25.0%. This shows 7.6 point spread compared with the prefecture with the lowest rate at 17.4%. The aim of our study is to search for the reasons of high rate of hypertension in Wakayama, and to consider effective prevention of hypertension in Wakayama as well as in Japan. Design and method: Correlation analysis was performed using hypertension rate for each prefecture versus the variables of: 1. salt intake, 2. vegetable intake, 3. alcohol habits, 4. smoking habits, and 5. walking paces per day (walking), using 5% significance level. To find the social causes that impact walking, correlation analysis was performed with the variables of: 1. number of train stations, 2. vehicle ownership rate, 3. light-vehicle ownership rate, and 4. slop
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