Department of Food & Nutrition, Sungshin Women's University, Seoul, Korea.
Copyright © 2011 The Korean Society of Community Nutrition
This research was conducted by the generous financial support of the Youlchon Foundation (Nongshim Corporation and its affiliated companies) in Korea.
1) NS: not significant, *: p < 0.05, **: p < 0.01 by ANOVA or t test for difference between socio-demographic status within gender
2) NS: not significant, *: p < 0.05, **: p < 0.01 by t test for difference between gender within a row
3) Different letters represent statistical difference by Duncanís multiple comparison test
1) N (%)
*: p < 0.05, ***: p < 0.001 by chi-square test for difference between socio-demographic status within gender
1) NS: not significant, *: p < 0.05, **: p < 0.01 by ANOVA or t test for difference between socio-demographic status within gender
2) NS: not significant, *: p < 0.05, **: p < 0.01 by t test for difference between gender within a row
3) Different letters represent statistical difference by Duncanís multiple comparison test
1) N (%) *: p < 0.05, ***: p < 0.001 by chi-square test for difference between socio-demographic status within gender
1) NS: not significant, *: p < 0.05, **: p < 0.01 by ANOVA or t test for difference between socio-demographic status within gender 2) NS: not significant, *: p < 0.05, **: p < 0.01 by t test for difference between gender within a row 3) Different letters represent statistical difference by Duncanís multiple comparison test