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KMID : 1002420130140030015
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Journal of Korea Society for School Health Education
2013 Volume.14 No. 3 p.15 ~ p.26
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Analysis of periodontal health related factors by using data mining method
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Park Hee-Jung
Lee Jun-Hyup
Kim Tai-Il
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Abstract
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Objectives: The purpose of this study was to evaluate self-reported symptoms of periodontal diseases. We performed a comprehensive analysis of periodontal health related factors.
Methods: 581 volunteers representing a broad range of age from 20 to 65 were recruited from Seoul and Gyeonggi provinces. They participated in a self-administered survey of which the results were analyzed through the decision tree analysis using the data mining program.
Results: 67% of the participants reported ’bad breath,’ whereas 13.9% of participants reported ’toothache’. The decision analysis revealed that age was the most determining factor of adult periodontal health. Participants in 20s with a profound understanding of their periodontal health status exhibited a low vulnerability to periodontal diseases, whereas those lacking the awareness were more susceptible to the diseases. However, other participants in 30s and older showed a higher vulnerability to periodontal illness than those in 20s, whether or not they had suffered from chronic diseases.
Conclusions: In order to effectively prevent periodontal diseases, an age-appropriate clinical approach will be necessary. For the younger age group it will be crucial to enhance the self-awareness of their current oral health status. On the other hand, those in 30s and older will need to pay a close attention to the prevention of chronic periodontal disease.
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KEYWORD
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Data mining, Decision trees, Periodontal health
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