한국식품조리과학회지 (Korean journal of food and cookery science)

  • 제33권3호
  • /
  • Pages.353-362
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  • 2017
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  • 2287-1780(pISSN)
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  • 2287-1772(eISSN)
한국식품조리과학회 (Korean Society of Food and Cookery Science)
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제천지역 학부모와 어린이 보육시설 원장들의 어린이 기호식품 품질인증에 대한 인식 및 소비행동 조사

Study on Recognition and Consumption Behavior of Quality-Certified Children's Preferred Foods of Nursery Directors and Parents in Jecheon Area

  • 민성희 (세명대학교 바이오식품산업학부)
  • Min, Sung Hee (Department of Food and Nutrition Science for Bioindustry, Semyung University)
  • 투고 : 2017.06.18
  • 심사 : 2017.06.22
  • 발행 : 2017.06.30
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초록

Purpose: This study aimed to identify the perception of quality-certified children's preferred foods as well as consumption behaviors of nursery directors and parents. Methods: A total of 243 nursery directors and parents of preschool children were surveyed using questionnaires. Results: Parents' perception scores were lower than directors' scores for many of the questions. Parents showed significantly higher scores for food safety standard questions and nutritional fortifying questions than directors (p<0.001 each). On the other hand, directors showed significantly higher scores for questions about products nutrition and safety (p<0.001, p<0.01). When buying children's favorite food items, food additives and hygiene level of vendors were the most important, in that order. Parents' scores for questions on purchasing behaviors of quality-certified children's preferred foods were significantly higher than those of directors'. Further, respondents with nutritional education experience showed high behavior scores. Conclusion: It can be concluded that promotion of quality-certified children's preferred foods is insufficient. The nutrition education group showed high scores for perception and positive consumption behaviors of quality-certified children's preferred foods. It is important to cooperate with nursery directors and parents of preschoolers to further children's nutritional education.

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참고문헌

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피인용 문헌

  1. Design of Children’s Product Packaging Preference Based on Big Data Machine Learning vol.2021, pp.None, 2017, https://doi.org/10.1155/2021/8424939