1Department of Food and Nutrition, Seoul National University, Seoul, Korea.
2Major of Food and Nutrition, The Catholic University of Korea, Bucheon, Korea.
Copyright © 2017 The Korean Society of Community Nutrition
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1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse and residential area.
2) Healthy group included subjects having at least one of desirable behaviors with regard to drinking, smoking and physical activity.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse and residential area.
2) Disease history was determined by having all available diseases that had been assessed in the KNHANES, which included cardiovascular, musculoskeletal, respiratory, digestive system, endocrine metabolic, cancer and other chronic conditions.
3) Metabolic disease was determined having at least one disease of dyslipidemia, hypertension, and diabetes.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse, residential area, smoking, self-assessed health and disease history.
2) It included three attitudes of nutrition education, knowing guidelines of diets, reading nutrient labels.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse and residential area.
2) Healthy group included subjects having at least one of desirable behaviors with regard to drinking, smoking and physical activity.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse and residential area.
2) Disease history was determined by having all available diseases that had been assessed in the KNHANES, which included cardiovascular, musculoskeletal, respiratory, digestive system, endocrine metabolic, cancer and other chronic conditions.
3) Metabolic disease was determined having at least one disease of dyslipidemia, hypertension, and diabetes.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse, residential area, smoking, self-assessed health and disease history.
2) It included three attitudes of nutrition education, knowing guidelines of diets, reading nutrient labels.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse and residential area. 2) Healthy group included subjects having at least one of desirable behaviors with regard to drinking, smoking and physical activity.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse and residential area. 2) Disease history was determined by having all available diseases that had been assessed in the KNHANES, which included cardiovascular, musculoskeletal, respiratory, digestive system, endocrine metabolic, cancer and other chronic conditions. 3) Metabolic disease was determined having at least one disease of dyslipidemia, hypertension, and diabetes.
1) All analyses including prevalence of dietary supplements accounted for the complex sampling design effect and appropriate sampling weights of the national survey using PROC SURVEY procedure in the SAS program. Odds Ratios and 95% confidence intervals from multivariate logistic regression analyses adjusted with age, education level, household income, spouse, residential area, smoking, self-assessed health and disease history. 2) It included three attitudes of nutrition education, knowing guidelines of diets, reading nutrient labels.