Food is not only a source of nutrients such as carbohydrates, proteins, and lipids, but also various physiologically active ingredients contained in food can contribute to preventing diseases through various biological functions regulating actions. This research aims to identify th...
Abstract
Food is not only a source of nutrients such as carbohydrates, proteins, and lipids, but also various physiologically active ingredients contained in food can contribute to preventing diseases through various biological functions regulating actions. This research aims to identify the relationship between food and specific diseases, combining consumer panel data from RDA, which contains information on purchasing agri-food by household, and health checkup and medical treatment data from NHIS. The patient group was divided into 52 patients diagnosed with metabolic disease, and the control group was divided into 276 patients without metabolic disease diagnosis. In order to examine the relationship between food consumption and disease, we compared the monthly food purchases of the patient group before the disease occurred and the food purchases of the control group. It was determined that the interaction existed at the significance level α=0.1 as a result of testing the effect of two-way ANOVA interaction between the variable dividing the patient group and the control group and the purchased food. In addition, as a result of the post-hoc test, there was an interaction effect between the patient group and control group in fruits, livestock products, aquatic products, seasoned vegetables, confectionery, and fruits and vegetables. Moreover, there was a difference in food consumption patterns between the patient group and the control group.
Key words :
Abstract
Food is not only a source of nutrients such as carbohydrates, proteins, and lipids, but also various physiologically active ingredients contained in food can contribute to preventing diseases through various biological functions regulating actions. This research aims to identify the relationship between food and specific diseases, combining consumer panel data from RDA, which contains information on purchasing agri-food by household, and health checkup and medical treatment data from NHIS. The patient group was divided into 52 patients diagnosed with metabolic disease, and the control group was divided into 276 patients without metabolic disease diagnosis. In order to examine the relationship between food consumption and disease, we compared the monthly food purchases of the patient group before the disease occurred and the food purchases of the control group. It was determined that the interaction existed at the significance level α=0.1 as a result of testing the effect of two-way ANOVA interaction between the variable dividing the patient group and the control group and the purchased food. In addition, as a result of the post-hoc test, there was an interaction effect between the patient group and control group in fruits, livestock products, aquatic products, seasoned vegetables, confectionery, and fruits and vegetables. Moreover, there was a difference in food consumption patterns between the patient group and the control group.
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