Department of Food and Nutrition, Gunsan National University, Gunsan, Korea.
Copyright © 2012 The Korean Society of Community Nutrition
1) Mean ± SD, 2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD, 2) A: effect of obese index; B: effect of age; A*B: interaction of obese index and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD
2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA
3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD
2) A: effect of obese index; B: effect of age; A*B: interaction of obese index and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA
3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD, 2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05 by one-way ANOVA
1) N (%), 2) ***: p < 0.001 by χ2-test
1) Mean ± SD, 2) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) AMC: Arm muscle circumference, 5) Arm cir: Arm circumference, 6) BMR: Basal Metabolic Rate
1) Mean ± SD
2) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA
3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
1) Mean ± SD, 2) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 3) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA
1) Mean ± SD, 2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD, 2) A: effect of obese index; B: effect of age; A*B: interaction of obese index and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD
2) **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA
3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
1) Mean ± SD
2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA
3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD
2) A: effect of obese index; B: effect of age; A*B: interaction of obese index and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA
3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD, 2) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA
3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
1) Mean ± SD, 2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05 by one-way ANOVA
1) M: Male
2) F: Female
3) *,**,***: Significant at p < 0.05, p < 0.01 and p < 0.001 by Pearson's correlation
1) N (%), 2) ***: p < 0.001 by χ2-test
1) Mean ± SD, 2) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) AMC: Arm muscle circumference, 5) Arm cir: Arm circumference, 6) BMR: Basal Metabolic Rate
1) Mean ± SD 2) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
1) Mean ± SD, 2) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 3) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA
1) Mean ± SD, 2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD, 2) A: effect of obese index; B: effect of age; A*B: interaction of obese index and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD 2) **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
1) Mean ± SD 2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05) 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD 2) A: effect of obese index; B: effect of age; A*B: interaction of obese index and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05) 4) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by one-way ANOVA
1) Mean ± SD, 2) *: p < 0.05, **: p < 0.01, ***: p < 0.001 by t-test or one-way ANOVA 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05)
1) Mean ± SD, 2) A: effect of gender; B: effect of age; A*B: interaction of gender and age; NS: not significantly different; *: p < 0.05, **: p < 0.01, ***: p < 0.001 by two-way ANOVA, 3) Different alphabets at the same row are significantly different by Duncan's multiple test (p < 0.05), 4) *: p < 0.05 by one-way ANOVA
1) M: Male 2) F: Female 3) *,**,***: Significant at p < 0.05, p < 0.01 and p < 0.001 by Pearson's correlation