Acknowledgement
This research was supported by Basic Science Research Program through the National Research Foundations of Korea(NRF) funded by the Ministry of Education (NRF-2019R1F1A1060 865).
Proceedings of the Korean Society of Computer Information Conference (한국컴퓨터정보학회:학술대회논문집)
- 2021.07a
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- Pages.699-700
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- 2021
Pattern Analysis of Comorbidity and Multimorbidity in Reference to the 7th KNHANES
국민건강영양조사를 이용한 동반질환 및 다중이환의 패턴분석
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Lee, Hyun-Ju
(Dept. of Health Administration, Jungwon University)
;
- Myoung, Sungmin (Dept. of Health Administration, Jungwon University)
- Published : 2021.07.14
Abstract
This study investigated patterns of co-occuring chronic diseases and disorders in old ages. For this purpose, we utilized data from the Korean National Health and Nutrition Examination Survey for 3,734 old adults aged over 65. Data on 18 conditions were obtained, and analyzed using network analysis, associated rule mining, cluster analysis. The majority of participants has multimorbidity. Association rules analysis reveals unexpected comorbidities with high lift and confidence. Also, some morbidity clusters were present. Diabetes and emotional disorder had the greatest comorbidity and represent complex comorbid conditions. Old age is characterized by a complex pattern of multimorbidity and comorbidity. In conclusion, particular combinations of morbidities were very prevalent and will be needed to policy of health care interventions for old ages.