Summary: | 碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 99 === With the changing of social state, people live a wealthier and wealthier life. People’s diet habits have changed because of the living standard and the medicine technology improving. The developing of modern medicine technology makes people live longer than before, but it can’t decrease the prevalence of many diseases. According to a statistical data from the Department of Health (DOH) of the Executive Yuan, Republic of China, the top 10 reasons of death in 2009, the chronic disease has a high rate in the list. (Health Insurance bureau, 2010). There are many reasons to cause chronic diseases and diet is the most important among them. Many foreign studies indicate that healthy food habits can help prevent people from getting chronic diseases. (J Am Diet Assoc, 2009). People who accept Health Check at their own expense in one regional teaching hospital are the objects of this study. The total is 6002 people.
The correlation analysis of vegetarians (N=1774) are compare to the none-vegetarians’ (N=4228) in diet style and diseases’ risk factors, it shows that the diet habits has positive correlation with renal function(R= 0.026, P<0.05); and it has negative correlation with obesity, high blood pressure, high blood sugar, high cholesterol, liver function, bilirubin, blood lipid, metabolic syndrome and cardiovascular diseases. (R = -0.116, -0.06, -0.071, -0.075, -0.107, -0.056, -0.139, -0.094, -0.157, P<0.05) The risk factors can be efficiently predicted in a vegetarian life style; furthermore, among all of Regression coefficient, the bilirubin has the highest predictability. (0.238) High blood pressure (0.236) is the second and high cholesterol is the third. They all show positive correlation. With the characters of this research’s large sample, compared with the results of national and international research, we have the correlations data of vegetarian life style and risk factors of diseases. It can offer other hospitals or health offices to use the results to prevent diseases or lower the prevalence.
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