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      KCI등재

      An Empirical Analysis of Korean Traditional Dietary (Hansik) Choices Considering Consumers’ Health Status and Attitude

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      https://www.riss.kr/link?id=A105976435

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      다국어 초록 (Multilingual Abstract)

      This study aims to discover the health-related lifestyles about Korean traditional dietary (Hansik) choices. We identified which food items are widely perceived as Hansik based on the 2013~2015 Korea National Health and Nutrition Examination Survey (K...

      This study aims to discover the health-related lifestyles about Korean traditional dietary (Hansik) choices. We identified which food items are widely perceived as Hansik based on the 2013~2015 Korea National Health and Nutrition Examination Survey (KNHANS) data and investigated distinct patterns of health-related status and behaviors using cluster analysis. Relying on a Tobit approach, we found that age, region, education level, household income, number of household members and marriage status significantly contributed to individual’s rate of Hansik consumption.
      We also found that the group with relatively younger people characterized by a busy lifestyle and more social activities, those who showed a higher household income, and people who live in metropolitan areas tended to consume less Hansik dietary. We also highlighted that the group with unhealthy lifestyles and risk-averse(cluster 4) tended to consume more Hansik dietary, while the group with healthy lifestyles and risk-prone habits(cluster 2) were likely to consume less Hansik dietary. Regarding policy implications, the result of our study can be used to develop a tailor-made strategy for each group of clusters aimed at increasing Hansik consumption.

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      참고문헌 (Reference)

      1 강민지, "전문가 포커스 그룹을 활용한 한식 데이터베이스 작성과 한식 섭취 수준에 따른 식품군 섭취 균형도 평가" 한국식생활문화학회 29 (29): 9-17, 2014

      2 최미경, "서울시내 직장인의 식습관과 건강에 관한 연구" 한국식생활문화학회 18 (18): 45-55, 2003

      3 Smith, D. A., "Tobit models in social science research: Some limitations and a more general alternative" 31 (31): 364-388, 2003

      4 Devlin, U. M., "The use of cluster analysis to derive dietary patterns: methodological considerations, reproducibility, validity and the effect of energy misreporting" 71 (71): 599-609, 2012

      5 Casswell, S., "The importance of amount and location of drinking for the experience of alcohol related problems" 88 (88): 1527-1534, 1993

      6 Sneath, P. H., "The application of computers to taxonomy" 17 (17): 201-226, 1957

      7 Popkin, B. M., "Technology, transport, globalization and the nutrition transition food policy" 31 (31): 554-569, 2006

      8 Mills, P. J., "Patterns of adrenergic receptions and adrenergic agonists underlying cardiovascular responses to a psychological challenge" 56 (56): 70-76, 1994

      9 Arefjord, K., "Myocardial infarction—emotional consequences for the wife" 13 (13): 135-146, 1998

      10 Abel, T., "Measuring health lifestyles in a comparative analysis: theoretical issues and empirical findings" 32 (32): 899-908, 1991

      1 강민지, "전문가 포커스 그룹을 활용한 한식 데이터베이스 작성과 한식 섭취 수준에 따른 식품군 섭취 균형도 평가" 한국식생활문화학회 29 (29): 9-17, 2014

      2 최미경, "서울시내 직장인의 식습관과 건강에 관한 연구" 한국식생활문화학회 18 (18): 45-55, 2003

      3 Smith, D. A., "Tobit models in social science research: Some limitations and a more general alternative" 31 (31): 364-388, 2003

      4 Devlin, U. M., "The use of cluster analysis to derive dietary patterns: methodological considerations, reproducibility, validity and the effect of energy misreporting" 71 (71): 599-609, 2012

      5 Casswell, S., "The importance of amount and location of drinking for the experience of alcohol related problems" 88 (88): 1527-1534, 1993

      6 Sneath, P. H., "The application of computers to taxonomy" 17 (17): 201-226, 1957

      7 Popkin, B. M., "Technology, transport, globalization and the nutrition transition food policy" 31 (31): 554-569, 2006

      8 Mills, P. J., "Patterns of adrenergic receptions and adrenergic agonists underlying cardiovascular responses to a psychological challenge" 56 (56): 70-76, 1994

      9 Arefjord, K., "Myocardial infarction—emotional consequences for the wife" 13 (13): 135-146, 1998

      10 Abel, T., "Measuring health lifestyles in a comparative analysis: theoretical issues and empirical findings" 32 (32): 899-908, 1991

      11 Dodd, L. J., "Lifestyle risk factors of students: a cluster analytical approach" 51 (51): 73-77, 2010

      12 Kang, J. H., "Korean diet and obesity" 13 (13): 34-41, 2004

      13 Ward Jr, J. H., "Hierarchical grouping to optimize an objective function" 58 (58): 236-244, 1963

      14 Schroeter, C., "Fruit and Vegetable Consumption of College Students: What is the Role of Food Culture?" 46 (46): 131-152, 2015

      15 Kearney, J., "Food consumption trends and drivers" 365 (365): 2793-2807, 2010

      16 Tobin, J., "Estimation of relationships for limited dependent variables" 26 (26): 24-36, 1958

      17 Kant, A. K., "Dietary patterns and health outcomes" 104 (104): 615-635, 2004

      18 Sun, J., "Dietary pattern and its association with the prevalence of obesity, hypertension and other cardiovascular risk factors among Chinese older adults" 11 (11): 3956-3971, 2014

      19 Hu, F. B., "Dietary pattern analysis: a new direction in nutritional epidemiology" 13 (13): 3-9, 2002

      20 Kweon, S. H., "Data resource profile: the Korea national health and nutrition examination survey (KNHANES)" 43 (43): 69-77, 2014

      21 Jain, A. K., "Data clustering: 50 years beyond K-means" 31 (31): 651-666, 2010

      22 Dumith, S. C., "Clustering of risk factors for chronic diseases among adolescents from Southern Brazil" 54 (54): 393-396, 2012

      23 Costello, A. B., "Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis" 10 (10): 1-9, 2005

      24 Wirfält, E., "Associations between food patterns defined by cluster analysis and colorectal cancer incidence in the NIH–AARP diet and health study" 63 (63): 707-713, 2009

      25 Song, Y. J., "A traditional Korean dietary pattern and metabolic syndrome abnormalities" 22 (22): 456-462, 2012

      26 Sokal, R. R., "A statistical method for evaluating systematic relationships" 28 : 1409-1438, 1958

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2003-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2002-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2000-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.46 0.46 0.47
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.45 0.53 0.632 0.04
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