Browse > Article

A Comparison of Cluster and Factor Analysis to Derive Dietary Patterns in Korean Adults Using Data from the 2005 Korea National Health and Nutrition Examination Survey  

Song, Yoon-Ju (School of Human Ecology, The Catholic University of Korea)
Paik, Hee-Young (Department of Food & Nutrition, Seoul National University)
Joung, Hyo-Jee (Graduate School of Public Health, Seoul National University)
Publication Information
Korean Journal of Community Nutrition / v.14, no.6, 2009 , pp. 722-733 More about this Journal
Abstract
The purpose of this study was to explore dietary patterns and compare dietary patterns using cluster and factor analysis in Korean adults. This study analyzed data of 4,182 adult populations who aged 30 and more and had all of socio-demographic, anthropometric, and dietary data from 2005 Korean Health and Nutrition Examination Survey. Socio-demographic data was assessed by questionnaire and dietary data from 24-hour recall method was used. For cluster analysis, the percent of energy intake from each food group was used and 4 patterns were identified: "traditional", "bread, fruit & vegetable, milk", "noodle & egg", and "meat, fish, alcohol". The "traditional" pattern group was more likely to be old, less educated, living in a rural area and had higher percentage of energy intake from carbohydrates than other pattern groups. "Meat, fish, alcohol" group was more likely to be male and higher percentage of energy intake from fat. For factor analysis, mean amount of each food group was used and also 4 patterns were identified; "traditional", "modified", "bread, fruit, milk", and "noodle, egg, mushroom". People who showed higher factor score of "traditional" pattern were more likely to be elderly, less educated, and living in a rural area and higher proportion of energy intake from carbohydrates. In conclusion, three dietary patterns defined by cluster and factor analysis separately were similar and all dietary patterns were affected by socio-demographic factors and nutrient profile.
Keywords
dietary patterns; cluster analysis; factor analysis; Korean Health and Nutrition Examination Survey(KHANES);
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 Kant AK (2004): Dietary patterns and health outcomes. J Am Diet Assoc 104(4): 615-635   DOI   ScienceOn
2 Ministry of Health and Welfare (2006). Report on 2005 Nutritional Health and Nutrition Survey - Nutrition Survey. Ministry of Health and Welfare
3 Ahn Y, Park Y, Park S, Min H, Kwak H, Oh K, Park C (2007): Dietary patterns and prevalence odds ratio in middle-aged adults of rural and mid-size city in Korean genome epidemiology study. Korean J Nutr 40(3): 259-269
4 Lee SM, Oh AR, Ahn HS (2008): Major dietary patterns and their associations with socio-demographic, psychological and physical factors among generally healthy Korean middle-aged women. Korea J Community Nutr 13(3): 439-452
5 Iizumi H, Amemiya T (1986). Eleven-year follow-up of changes in indivicuals' food consumption patterns. Int J Vitam Nutr Res 56:399-409
6 Schwerin HS, Stanton JL, Smith JL, Riley Am Jr, Brett BE (1982): Food, eating habits, and health: a further examination of the relationship between food eating patterns and nutritional health. Am J Clin Nutr 35: 1319-1325
7 Hearty AP, Gibney MJ (2009): Comparison of cluster and principal component analysis techniques to derive dietary patterns in Irish adults. Br J Nutr 101(4): 598-608   DOI
8 Yoo SY, Song YJ, Joung HJ, Paik HY (2004): Dietary assessment using dietary patterns analysis of middle school students in Seoul. Konean J Nutr 37(5): 373-384
9 Newby PK, Tucker KL (2004). Empirically derived eating patterns using factor or cluster analysis: A review. Nutrition Reviews 62(5): 177-203   DOI   ScienceOn
10 Hu FB (2001): Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13(1): 3-9   DOI   PUBMED   ScienceOn
11 Song YJ, Joung HJ, Paik HY (2005): Socioeconomic, nutrient, and health risk factors associated with dietary patterns in adult populations from 2001 Korean National Health and Nutrition Survey. Korean J Nutr 38(3): 219-225
12 Moeller SM, Reedy J, Millen AE, Dixon LB, Newby PK, Tucker KL, Krebs-Smith SM, Guenther PM (2007): Dietary patterns: Challenges and opportunities in dietary patterns research. J Am Diet Assoc 107(7): 1233   DOI   ScienceOn
13 Lee J, Hwang J, Cho H (2007): Dietary patterns of children and adolescents analyzed from 2001 Korea National Health and Nutrition Survey. N R P 2: 84-88   DOI   ScienceOn
14 Hoffmann K, Schulze MB, Schienkiewitz A, Nothlings U, Boeing H (2004): Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol 159: 935-944   DOI   ScienceOn
15 Song YJ, Paik HY, Yu CH (2006): Factors affecting bone mineral density by dietary pattern group for some Korean college women. Korean J Nutr 39(5): 460-466
16 Korean Nutrition Society (2005). Dietray Reference Intake for Korean. Korean Nutrition Society
17 Nicklas TA, Webber LS, Thompson B, Berenson GS (1989): A multivariate model for assessing eating patterns and their relationship to cardiovascular risk factors: the Bogalusa Heart Study. Am J Clin Nutr 49: 1320-1327