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KMID : 1143420200130050259
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Public Health Weekly Report
2020 Volume.13 No. 5 p.259 ~ p.299
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Data Analysis of Food Diversity and Characteristic Groups: the 2017 Self-Reported Korea Community Health Survey
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Jo Heui-Sug
Jung Su-Mi
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Abstract
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This study was conducted to analyze the current status of diversity in Korean food intake and to identify subdivided group
characteristics by relevant factors. The primary aim was to provide basic information for the improvement of comprehensive food intake quality improvement, focusing mainly on food safety and the diversity of food intake. The nationwide data of the 2017 self-reported Korea Community Health Survey was utilized in research and the data of 219,721 adults aged 19 years and older was analyzed. Food safety was identified based on the self-reported data on food intake. The differences were subsequently analyzed by subdividing the results of the group that responded to not having any financial difficulties into two groups: ‘sufficient quantity and diversity of food’ and ‘sufficient quantity but insufficient diversity of food’. Data analyses were performed using the decision tree method, a data mining technique. The results indicated that the group that satisfied both the quantity and diversity of food factors had a high-level of nutrition label utilization and were primarily university graduates, married, homemakers, or professionals working in management or the military. Comparatively, the results indicated that the ‘insufficient diversity of food’ group were elementary and middle school graduates, unmarried, divorced, widowed or separated. This study recommended that, to improve food safety and diversify food intake among the public, the government must have a clear understanding of characteristic groups and appropriate target-specific improvement strategies should be devised.
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KEYWORD
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food intake diversity, data mining, Korea Community Health Survey
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