Developing a Model for Predicting Korean Adult Consumers Who Frequently Eat Food-Away-From Home: Data Mining of the 2001 National Health and Nutrition Survey

한국 성인 중 다빈도 외식소비자의 예측모형 개발: 데이터마이닝을 이용한 2001 국민건강${\cdot}$영양조사 자료 분석

  • Chung Sang-Jin (School of Medicine, Sungkyunkwan University) ;
  • Kang Seung-Ho (Department of Statistics, Ewha Womans University) ;
  • Song Su-min (Department of Statistics, Ewha Womans University) ;
  • Ryu Si Hyun (Research Institute of Human Ecology, Seoul National University) ;
  • Yoon Jihyun (Department of Food & Nutrition & Research Institute of Human Ecology, Seoul National University)
  • 정상진 (성균관대학교 의과대학) ;
  • 강승호 (이화여자대학교 통계학과) ;
  • 송수민 (이화여자대학교 통계학과) ;
  • 류시현 (서울대학교 생활과학연구소) ;
  • 윤지현 (서울대학교 식품영양학과)
  • Published : 2005.11.01

Abstract

The objective of this study was to develop a model for predicting Korean adult consumers who frequently eat food-away-from-home. A total of 7,032 adults aged 19 years and older from the 2001 National Health and Nutrition Survey in Korea were used as subjects. The data were analyzed using a data mining procedure including logistic regression and decile analysis. The model developed in the study was proven to be valid in predicting the consumers who frequently eat food-away-from home(once a day or more often). This model showed that consumers eating food-away-from-home frequently tend to be younger men, living in a big city, working full time, receiving more stress and eating snacks and fried food more frequently. The model could be used to identify targets for nutrition and related education and consumer segments for the marketing of restaurant businesses.

Keywords

References

  1. 김지혜(2005). 가정식과 학교급식으로 점심식사를 한 초 중 고 재학생의 식사평가: 2001 국민건강 영양조사 자료를 이용하여. 서울대학교 대학원 식품영양학과 생활과학석사학위논문
  2. 노정미, 유영상(1989). 서울지역 대학생의 외식실태 및 기호도 조사연구(I). 대한가정학회지, 27(2), 65-74
  3. 류정순, 박혜련(1996). 계층별 소비패턴 분석을 통한 외식비의 빈곤선 설정 -1993 년 도시근로자 가계를 중심으로-. 한국가정관리학회지,14(2), 277-287
  4. 모수미(1986). 외식산업의 발달이 국민영양 및 식생활에 미치는 영향, 한국영양학회지, 19(2), 120-125
  5. 박혜련, 이경희, 류정순(1997). 도시가계조사 자료를 이용한 소득계층별 식생활 패턴분석. 지역사회영앙학회지, 2(4), 633-646
  6. 보건복지부(1999). 1998년도 국민건강 영양조사 -총괄보고서-
  7. 보건복지부(2002). 2001년도 국민건강 영양조사 -총괄보고서-
  8. 서정희, 이성림, 홍순명(2003). 도시가계 외식비 지출에 관한 시계열 분석: 1982 년부터 2002년. 대한영양사협회 학술지, 9(2), 149-158
  9. 유정림, 박동연(2001). 가족생활주기에 따른 외식행동의 차이. 대한가정학회: 학술대회지, 대한가정학회 제 54차 정기총회 및 추계학술대회, 112
  10. 정은정, 김정숙(2001). 제주도 대학생의 외식행동에 관한 연구. 대한기정학회지, 39(7), 21-36
  11. 주나미(2004). 자녀들의 패스트푸드점 선호에 대한 어머니의 인식 및 견해 연구.대한가정학회지, 42(5), 1-10
  12. 통계청(2004). 통계자료: 시도/산업별 도소매업 총괄. http://www.nso.go.kr. 2005 .10.3 접속
  13. 통계청(2005). 통계자료: 품목별 가구당 월평균 가계수지. http://www.nso.go.kr. 2005 .10.3 접속
  14. Binkley, J. K., Eales, J., & Jekanowski, M. (2000). The relation between dietary change and rising US obesity. International Journal of Obesity, 24(8), 1032-1039 https://doi.org/10.1038/sj.ijo.0801356
  15. Borrud, L., Enns, S. W., & Mickle, S. (1996). What we eat in America: USDA surveys food consumption changes. Food Review, 19(3), 14-19
  16. Byrne, P. J., Capps, O. Jr., & Saha, A. (1998). Anayslis of quick-serve, mid-scale, and upscale food away from home expenditures. International Food and Agribusiness Management Review, 1(1), 51-72 https://doi.org/10.1016/S1096-7508(99)80028-7
  17. Guthrie, J. F., & Lin, B. H. (1997). Trends in consumption of food away from home 1977-1995 and implications for achieving dietary guideline for fat intake. Journal of the American Dietetic Association, 97(9), A88
  18. Ham, S., Hwang, J. H., & Kim, W. G. (2004). Household profits affecting food-away-from-home expenditures: a comparison of Korean and US households. International Journal of Hospitality Management, 23(4), 363-379 https://doi.org/10.1016/j.ijhm.2004.01.001
  19. Ham, S., Yoon, B. J., & Leong, J. (2003). Demographic and socioeconomic characteristics affecting food away from home expenditure patterns of the US households. Praxis-The Journal of Applied Hospitality Management, 5(2), 22-34
  20. Hu, B., & McAleer, M. (1997). A probit analysis of behaviour in rural China. Mathematics and Computers in Simulation, 43(3-6), 527-534 https://doi.org/10.1016/S0378-4754(97)00041-4
  21. Lee, Y. G. (2001). Consumption patterns of elderly households: are they different between younger and older elderly in Korea? how do they differ between Korea and the US? Consumer Interest Annual, 47, 1-11
  22. Min, I., Fang, C., & Li, Q. (2004). Investigation of patterns in food-away- from-home expenditure for China. China Economic Review, 15(4), 457-476 https://doi.org/10.1016/j.chieco.2004.06.008
  23. Nayga, R. M. Jr. (1996). Dietary fiber intake away-from-home and at-home in the United States. Food Policy, 21(3), 279-290 https://doi.org/10.1016/0306-9192(96)00002-4
  24. O' Dwyer, N. A., Gibney, M. J., Burke, S. J., & McCarthy, S. N. (2004). The influence of eating location on nutrient intake in Irish adults: implications for developing foodbased dietary guidelines. Public Health Nutrition, 8(3), 258-265
  25. O'Dwery, N. A., McCarthy, S. N., Burke, S. J., & Gibney, M. J. (2004). The temporal pattern of the contribution of fat to energy and of food groups to fat at various eating locations: implications for developing food-based dietary guidelines. Public Health Nutrition, 8(3), 249-257
  26. Pol, L. G., & Pak, S. (1995). Consumer unit types and expenditures on food away from home. The Journal of Consumer Affairs, 29(2), 403-428 https://doi.org/10.1111/j.1745-6606.1995.tb00054.x
  27. Rud, O. P. (2001). Data Mining Cookbook: Modeling Data for Marketing, Risk, and Customer Relationship Management. New York: John Wiley & Sons
  28. SAS Version 9.1 [Computer Software]. (2004). Cary, North Carolina: SAS Institute Inc.
  29. Stewart, H., & Yen, S. T. (2004). Changing household characteristics and the away-from-home food market: a censored equation system approach. Food Policy, 29(6), 643-658 https://doi.org/10.1016/j.foodpol.2004.10.003