1Major of Food and Nutrition, Seoul Women's University, Seoul, Korea, Graduate Student.
2Major of Food and Nutrition, Seoul Women's University, Seoul, Korea, Visiting Professor.
3Department of Food and Nutrition, Myongji University, Yongin, Gyeonggi, Korea, Research Professor.
4Department of Food and Nutrition, Myongji University, Yongin, Gyeonggi, Korea, Professor.
5Major of Food and Nutrition, Seoul Women's University, Seoul, Korea, Professor.
Copyright © 2019 The Korean Society of Community Nutrition
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1) Number of village
A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree).
abc: Different superscripts within the same row mean significant differences by Duncan's post-hoc test (p<0.05).
A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree).
abc: Different superscripts within the same row mean significant differences by Duncan's post-hoc test (p<0.05).
A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree).
abc: Different superscripts within the same row mean significant differences by Duncan's post-hoc test (p<0.05).
1) Number of village
A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree).
1) Number of village
A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree). abc: Different superscripts within the same row mean significant differences by Duncan's post-hoc test (p<0.05).
A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree). abc: Different superscripts within the same row mean significant differences by Duncan's post-hoc test (p<0.05).
A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree). abc: Different superscripts within the same row mean significant differences by Duncan's post-hoc test (p<0.05).
1) Number of village A 5-point Likert scale was used from 1 (strongly disagree) to 5 (strongly agree).