과체중 및 비만 환자에서 한⋅양방 의료 이용과 관련된 요인분석: 제2기 한국의료패널 자료를 중심으로

• 영문명: Analysis of Factors Related to the Use of Both Korean and Western Medicine Treatment in Patients with Overweight and Obesity: Based on the Korea Health Panel Annual Data 2019
• 발행기관: 한방비만학회
• 저자명: 권찬영
• 간행물 정보: 『대한한방비만학회지』제24권 제1호, 41~53쪽, 전체 13쪽
• 주제분류: 의약학 > 한의학
• 파일형태: PDF
• 발행일자: 2024.06.30

국문 초록

Objectives: We used the Korea Health Panel Annual Data 2019 to analyze factors related to visits to both Korean medicine and Western medicine (WM) outpatient clinics among patients with overweight and obesity. Methods: The inclusion criteria for this study are as follows: 1) adults over 18 years of age, 2) overweight or obese with a body mass index of 25.0 or more, 3) visited WM outpatient clinics at least once during 2019. Total 2,963 individuals were included in WM group or integrative medicine (IM) group. Using the Andersen healthcare utilization model, factors related to healthcare utilization of the participants were classified. Binomial logistic regression analysis was used to analyze factors associated with IM use. Results: Among the participants, 80.49% (n=2,385) were assigned to WM group and 19.51% (n=578) to IM group. As a result of the regression analysis, factors significantly related to the use of IM included the elderly over 65 years of age, sex (men), college or higher education level, residential area (Gwangju/Jeolla/Jeju), presence of cancer, and presence of musculoskeletal disease. The main diagnosis associated with both WM and IM use was most frequently musculoskeletal conditions. Also, IM group received WM treatment for musculoskeletal conditions more frequently compared to WM group. Conclusions: This study is the first to analyze healthcare utilization patterns among overweight or obese patients in Korea. The current findings suggest that the presence of musculoskeletal conditions, especially in this population, may be strongly associated with concurrent use of IM services.

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키워드

Korean medicine Overweight Obesity Korea health panel annual data