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
김정현 (연세대학교 생활과학대학 식품영양학과) 이민준 (연세대학교 생활과학대학 식품영양학과) 박미영 (연세대학교 생활과학대학 식품영양학과) 문수재 (연세대학교 생활과학대학 식품영양학과)
저널정보
한국식생활문화학회 한국식생활문화학회지 한국식생활문화학회지 제11권 제5호
발행연도
1996.1
수록면
621 - 634 (14page)

이용수

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

초록· 키워드

오류제보하기
This study was conducted to investigate the eating patterns of Korean men by analyzing the relation among their socio-demographic characteristics, value toward food and nutrition, and eating behavior. Nine hundred twenty nine Korean men were selected by the stratified random sampling method. The socio-demographic characteristics of the subjects had a significant influence on their value toward food and nutrition. After in their sixties had meals for physiological needs rather than for nutrition or preference. Highly educated people, professional workers, office workers and people in the higher incomes, placed a higher value toward food and nutrition. In addition, rural inhabitants had a significantly lower value toward food and nutrition. They mainly ate to satisfy their hunger. The subjects' eating behavior had a significant difference according to their socio-demographic characteristics. The aged and the less educated valued breakfast the most, and showed a preference for rice as the staple food. The rate of skipping meals for this group was low. The higher their income, their eating behavior score was equally high, while the primary industrial workers and rural inhabitants had a low eating behavior score. Value toward food and nutrition had a significant influence on eating behavior. Those that placed a high value toward food and nutrition showed a marked tendency to choose bread or noodles rather than rice. In addition, those who placed a high value on food and nutrition skipped fewer meals and had a higher eating behavior score.

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!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0