OBJECTIVES The purpose of this study was to examine the coverage of the current mandatory nutrition labeling system on the nutrient intake of Koreans. METHODS KNHANES dietary intake data (2013) of 7,242 subjects were used in the analysis. KNHANES dietary intake data were collected by a 24-hour recall method by trained dietitians. For analysis, all food items consumed by the subjects were classified into two groups (foods with mandatory labeling and other foods). In the next step, all food items were reclassified into four groups according to the food type and nutrition labeling regulations: raw material food, processed food of raw material characteristics, processed foods without mandatory labeling, and processed foods with mandatory labeling. The intake of energy and five nutrients (carbohydrate, protein, fat, saturated fat, and sodium) of subjects from each food group were analyzed to determine the coverage of the mandatory nutrition labeling system among the total nutrient intake of Koreans. RESULTS The average intake of foods with mandatory labeling were 384g/day, which was approximately one quarter of the total daily food intake (1,544 g/day). The proportion of energy and five nutrients intake from foods with mandatory labeling was 18.1%~47.4%. The average food intake from the 4 food groups were 745 g/day (48.3%) for the raw food materials, 54 g/day (3.5%) for the processed food of raw material characteristics, 391 g/day (25.3%) for the processed foods without mandatory labeling, and 354 g/day (22.9%) for the processed foods with mandatory labeling. CONCLUSIONS Although nutrition labeling is a useful tool for providing nutritional information to consumers, the coverage of current mandatory nutrition labeling system on daily nutrient intake of the Korean population is not high. To encourage informed choices and improve healthy eating habits of the Korean population, the nutrition labeling system should be expanded to include more food items and foodservice menus.
This study was conducted to investigate the nutrient intakes of subjects by quartile of percent energy intake from cooked rice, consumption of cooked rice mixed with multi-grains and to evaluate rice consumption in relation to the risk of metabolic syndrome. The subjects were 5,830 males and females aged between 20~64 years based on 2007-2008 KNHNES data. Levels of percent energy intake from cooked rice were classified into 4 groups (Q1, Q2, Q3, Q4 groups: 25% of each) using data of 24-hour recall method from KNHNES. Using medical examination and questionnaire, subjects were classified according to diagnostic criteria of metabolic syndrome. The subjects with higher age, being married, lower education, lower economic level were more likely to take higher percent energy intake from cooked rice. Quartile Q3 of percent energy intake from cooked rice tended to show higher Index of Nutritional Quality (INQ) for fiber, calcium, iron, potassium and vitamin A. INQ of protein, dietary fiber, calcium, thiamin, phosphorus, potassium, riboflavin, niacin and vitamin C by consumption of cooked rice mixed with multi-grains was higher than that by consumption of cooked white rice when adjusted for age. No association with a risk for metabolic syndrome was found for quartile of percent energy intake from cooked rice or cooked rice mixed with multi-grains compared to cooked white rice after adjusting for energy, gender, age, BMI, alcohol, smoking, income and physical activity. In conclusion, consumption of over 54% energy intake from cooked rice or only cooked white rice showed relatively low INQs, but was not associated with a higher risk for metabolic syndrome.
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