1)Department of Food & Nutrition, Gyeongsang National University, Jinju, Korea.
2)Department of Food Science & Nutrition, Kyungpook National University, Daegu, Korea.
Copyright © 2016 The Korean Society of Community Nutrition
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1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA
2) N (%), Calculated by Complex Samples χ2-test
1) N (%), Calculated by Complex Samples χ2-test
*: p<0.05
1) N (%), Calculated by Complex Samples χ2-test
**: p<0.01
1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA
2) AMDR (C:P:F): Acceptable Macronutrient Distribution Ranges (Carbohydrate: Protein: Fat)
***: p<0.001
1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA
2) MAR (9): (energy, protein, calcium, iron, vitamin A, vitamin B1, vitamin B2, niacin, vitamin C) / 9
3) Number of under nutrients: Number of nutrients, under estimated average requirements intake
***: p<0.001
1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA
*: p<0.05, **: p<0.01
1) Calculated by Complex Samples Logistic Regression Model
1) Calculated by Complex Samples Logistic Regression Model
Values were adjusted by age
2) Number of under nutrients: Number of nutrients, under estimated average requirements intake
1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA 2) N (%), Calculated by Complex Samples χ2-test
1) N (%), Calculated by Complex Samples χ2-test *: p<0.05
1) N (%), Calculated by Complex Samples χ2-test **: p<0.01
1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA 2) AMDR (C:P:F): Acceptable Macronutrient Distribution Ranges (Carbohydrate: Protein: Fat) ***: p<0.001
1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA 2) MAR (9): (energy, protein, calcium, iron, vitamin A, vitamin B1, vitamin B2, niacin, vitamin C) / 9 3) Number of under nutrients: Number of nutrients, under estimated average requirements intake ***: p<0.001
1) Mean±SE, Calculated by Complex Samples General Linear Model ANOVA *: p<0.05, **: p<0.01
1) Calculated by Complex Samples Logistic Regression Model
1) Calculated by Complex Samples Logistic Regression Model Values were adjusted by age 2) Number of under nutrients: Number of nutrients, under estimated average requirements intake