Ye Tian1, Jie Min, Pei Liu, Jinfang Sun. 1. School of Public Health, Southest University, Nanjing 210009, China. kevin.tiany@gmail.com
Abstract
OBJECTIVE: Using clustering analysis to classify the dietary patterns of residents. METHODS: Analysis of dietary survey data in 2002 of 3938 permanent residents selected from Jiangsu Province was performed by a fast clustering program (fastclus) in SAS 9.1 to explore the clusters of dietary patterns. RESULTS: Three dietary patterns were identified as: I Traditional mode, II Western mode and III Balanced diets mode. The food consumption of different dietary patterns analyzed by multivariate analysis was statistically significant (F = 521.34, P < 0.0001). CONCLUSION: Clustering analysis can be used as a kind of method for the study of dietary patterns.
OBJECTIVE: Using clustering analysis to classify the dietary patterns of residents. METHODS: Analysis of dietary survey data in 2002 of 3938 permanent residents selected from Jiangsu Province was performed by a fast clustering program (fastclus) in SAS 9.1 to explore the clusters of dietary patterns. RESULTS: Three dietary patterns were identified as: I Traditional mode, II Western mode and III Balanced diets mode. The food consumption of different dietary patterns analyzed by multivariate analysis was statistically significant (F = 521.34, P < 0.0001). CONCLUSION: Clustering analysis can be used as a kind of method for the study of dietary patterns.