We analyzed the relationship between serum cholesterol levels and lifestyle factors by logistic regression analysis. These data were collected through the data base operated by the Health Information Systems Research Association. The results of the serum cholesterol level test and data of lifestyle factors were collected by questionnaire. The results, which are supported by the
x-square test, show that there is a significant relationship between obesity and cholesterol levels in all age groups. In addition, there is a significant relationship between cholesterol levels and health consciousness except in the female group under 40 years of age and in the male group over 60 years of age. However, results of the
x-square test indicate a significant relationship between eating habits and cholesterol levels in all males except those over 60. Some indices, such as exercise, smoking and consumption of alcohol, are substantially related to levels of cholesterol in some age groups. The
x-square test shows a significant relationship between cholesterol levels and stress in the over 50 but significant in only females over 60, as shown by logistic regression analysis. Except for males over 60 and female under 40, Spearman's correlation test indicates a relationship between total lifestyle index and cholesterol levels while the
x-square test indicates this relationship in 40-50 year old males and females over 50. Since the results of the
x-square test and those of logistic regression analysis do not correlate for all groups, further research is needed to determine the differences between these two types of analyses. From this study we can conclude that not only obesity but also stress, use of tobacco and health consciousness affect serum cholesterol levels. From these results comprehensive countermeasures can be provided for the preventing of atherosclerotic diseases.
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