인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study explored how exercise alleviates depression using large-scale social big data. Data were collected with Textom from major Korean online platforms (Naver, Daum, Google) between January 2022 and December 2024, using the keywords “exercise + depression + improvement.” A total of 4,548 cases (2,525 KB) were analyzed through text mining and social network analysis, including frequency, TF-IDF, and CONCOR.
Results showed that ‘exercise,’ ‘depression,’ ‘improvement,’ and ‘help’ were the most frequent keywords, suggesting that exercise is perceived as a practical tool for mental health promotion. TF-IDF highlighted terms such as ‘health,’ ‘treatment,’ and ‘effect,’ linking exercise to therapeutic and preventive roles. CONCOR analysis revealed four clusters: (1) physical activity and physiological mechanisms, (2) mental health and emotional stability, (3) depression improvement and daily life management, and (4) clinical treatment and patient care. These findings align with Self-Determination Theory and Emotion Regulation Theory, showing that exercise fosters autonomy, competence, and emotional regulation, thereby reducing depressive symptoms. Online discourse also emphasized collective aspects of exercise, including social support, motivation, and participation.
In conclusion, exercise improves depression through multi-level mechanisms across physiological, psychological, and social dimensions, offering meaningful implications for sport psychology practice and mental health policy.
Results showed that ‘exercise,’ ‘depression,’ ‘improvement,’ and ‘help’ were the most frequent keywords, suggesting that exercise is perceived as a practical tool for mental health promotion. TF-IDF highlighted terms such as ‘health,’ ‘treatment,’ and ‘effect,’ linking exercise to therapeutic and preventive roles. CONCOR analysis revealed four clusters: (1) physical activity and physiological mechanisms, (2) mental health and emotional stability, (3) depression improvement and daily life management, and (4) clinical treatment and patient care. These findings align with Self-Determination Theory and Emotion Regulation Theory, showing that exercise fosters autonomy, competence, and emotional regulation, thereby reducing depressive symptoms. Online discourse also emphasized collective aspects of exercise, including social support, motivation, and participation.
In conclusion, exercise improves depression through multi-level mechanisms across physiological, psychological, and social dimensions, offering meaningful implications for sport psychology practice and mental health policy.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-095544482
