1Department of Food and Nutrition, Hannam University, Daejeon, Korea, Assistant Professor.
2Department of Multicultural Education, Hanyang University, Seoul, Korea, Graduate student.
Copyright © 2019 The Korean Society of Community Nutrition
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95% CI, 95% confidence interval; OR, odds ratio; Ref, reference.
1) All analyses accounted for the complex sampling design effect and appropriate sampling weights.
2) OR (95% CI) and P-values were obtained from the multiple logistic regression models after adjustment for sex, age, living area, household income, alcohol drinking, smoking, physical activity, and weight control, where applicable.
3) Underweight n=57, overweight/obese n=177.
SE, standard error.
1) All analyses accounted for the complex sampling design effect and appropriate sampling weights.
2) P-values were obtained from the chi-square test.
SE, standard error.
1) All analyses accounted for the complex sampling design effect and appropriate sampling weights.
2) P-values were obtained from the chi-square test.
3) n=863.
95% CI, 95% confidence interval; OR, odds ratio; Ref, reference.
1) All analyses accounted for the complex sampling design effect and appropriate sampling weights.
2) OR (95% CI) and P-values were obtained from the multiple logistic regression models after adjustment for sex, age, living area, household income, alcohol drinking, smoking, physical activity, and weight control, where applicable.
3) Underweight n=57, overweight/obese n=177.
SE, standard error. 1) All analyses accounted for the complex sampling design effect and appropriate sampling weights. 2) P-values were obtained from the chi-square test.
SE, standard error. 1) All analyses accounted for the complex sampling design effect and appropriate sampling weights. 2) P-values were obtained from the chi-square test. 3)
95% CI, 95% confidence interval; OR, odds ratio; Ref, reference. 1) All analyses accounted for the complex sampling design effect and appropriate sampling weights. 2) OR (95% CI) and P-values were obtained from the multiple logistic regression models after adjustment for sex, age, living area, household income, alcohol drinking, smoking, physical activity, and weight control, where applicable. 3) Underweight