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.
논문 기본 정보
- 저자정보
초록·키워드
Just as being healthy is essential for enjoying a pleasant dining-out experience, a healthy lifestyle enables consumers to leverage their health to achieve various life goals. This study aimed to classify consumers based on their healthy lifestyle characteristics using data from the 2023 Food Consumption Behavior Survey and to identify demographic traits and differences in dining-out behavior across segmented markets. A healthy lifestyle was evaluated using nine variables: healthy dietary competence, interest in weight control, meal portion control for weight management, regular exercise habits, interest in health management, subjective health status, regularity of meal times, breakfast status, and drinking frequency. A total of 5,811 valid samples from adult household members were analyzed using K-means cluster analysis, descriptive statistical analysis, cross-tabulation analysis, and one-way ANOVA. Cluster analysis segmented consumers into three groups based on health behavior characteristics: the 'Healthy Food Group,' characterized by maintaining health through regular and healthy eating habits; the 'Weight Control Group,' focused on weight management through meal portion control and regular exercise; and the 'No Interest Group,' defined by a lack of engagement in health-related behaviors. Statistically significant differences were observed among the groups in terms of demographic characteristics, food-related lifestyles, and dining-out behaviors. As the consumer market focused on a healthy lifestyle is expected to grow continuously, there is a need to develop innovative and health-oriented restaurant menus and services to meet evolving consumer needs.
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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