지역별 관상심장 질환 사망률과 식품 섭취량과 상관 연구
- Author(s)
- 이희자; 이충원
- Keimyung Author(s)
- Lee, Choong Won
- Department
- Dept. of Preventive Medicine (예방의학)
- Journal Title
- 대한보건연구
- Issued Date
- 1998
- Volume
- 24
- Issue
- 1
- Abstract
- A correlation study was carried out to assess the relationship between mortality of coronary heart disease and foods intakes using the data for 14 areas from the Annual Report on the Cause of Death Statistics by National Statistical Office and the National Nutrition Survey Report by Ministry of Health and Welfare, respectively. The average per capita daily intake of food in 1989-1994 and age-adjusted average annual mortality rates during the period 1990-1994 of coronary heart disease per 100,000 persons defined by 410-141 of ICD-9 for 14 areas were unit of analysis.
The average animal food percentage of total intake was strongly correlated with the average annual mortality of coronary heart disease (r=0.73, p=0.003). After controlling for average consumption of meat and meat products, the correlation was decreased a little (r=0.64, p=0.019). The slope and intercept of regression equation for mortality (y) were 0.9897 and 7.7717, respectively (adjusted R^2=0.49, p=0.003). The intake of meat and meat products showed very strong correlation with coronary mortality (r=0.96, p=0.036) in the sample of four areas with intake more than mean value (mean=45.93g) while the correlation was not strong and its statistical significance disappeared in the sample of ten areas with intake less than mean (r=0.37, p=0.286). The total intake of oils and fats were correlated with mortality (r=0.71, p=0.004). Vegetable oils and fats were correlated (r=0.71, p=0.004), but animal ones were not.
These results suggest that food intakes related to fats are significantly correlated with coronary heart mortality even in a country where coronary heart disease mortality and total intake of fats are low as well as nutrients intakes are homogeneous. But cautions should be exercised in interpreting the results due to ecologic bias.
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