메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
이태현 (동의대학교 대학원 보건의과학과) 박일수 (동의대학교 의료·보건·생활대학 의료경영학과) 권찬영 (동의대학교 한의과대학 한방신경정신과)
저널정보
대한예방한의학회 대한예방한의학회지 대한예방한의학회지 제28권 제2호
발행연도
2024.8
수록면
99 - 111 (13page)
DOI
10.25153/spkom.2024.28.2.007

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objectives : Anxiety is an important mental health symptom associated with healthcare utilization. This research aims to identify the demographic, socio-economic, and health-related factors associated with the use of Korean medicine (KM) treatments in adults experiencing anxiety. Methods : We conducted a cross-sectional analysis using the Korea Health Panel Annual Data 2019. Logistic regression models were employed to examine the relationships between KM utilization and various factors such as economic activity, perceived stress levels, and presence of physical discomfort. The study sample included 552 adults experiencing anxiety. Results : Among the subjects, 19.20% were using both conventional treatment and KM treatment. The analysis revealed that individuals engaged in economic activities were more likely to use KM treatments compared to those who were not (odds ratio [OR] = 2.207, 95% confidential interval [CI] = 1.316 to 3.699). Additionally, individuals reporting high levels of pain or discomfort showed a significantly higher likelihood of using both KM and conventional medical services (OR = 2.933, 95% CI = 1.645 to 5.231). Musculoskeletal conditions were the most common reason for KM utilization among the study participants. Conclusion : The findings suggest that economic activity and the severity of physical discomfort significantly influence the use of KM treatments among adults with anxiety. These insights could inform healthcare policy and the integration of KM services into broader health management strategies for anxiety.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

최근 본 자료

전체보기

댓글(0)

0