Objectives: ：The high lifetime prevalence of depression in Korea is related to problems such as suicide and decreased productivity, as well as the cost of disease due to increased use of medical services, which can cause great socioeconomic loss. Therefore, in this study, the burden of disease of depression and the importance of managing mental health diseases, which are increasing day by day, are suggested to be helpful in determining priorities in health policy establishment. Methods: ：In this study, the socio-economic cost of depression was calculated by dividing it into direct cost and indirect cost. For statistical data, data from the National Health Insurance Service of the public and statistics on diseases of national interest were mainly used. Results: ：As a result, the socio-economic cost of depression in 2019 estimated in this study was calculated to be a total of KRW 4.83 trillion, with direct costs 692.9 billion won and indirect costs 4.13 trillion won. Among them, the cost due to decrease in work performance accounted for the largest portion, accounting for 65.5%. Conclusions ：As the socio-economic burden due to depression is expected to increase in the future, it is necessary to establish a systematic funding plan for the treatment and management of depressed patients in daily life.

BACKGROUND: Nutrition labels provide various information on the nutrient contents of food. However, despite the recent increase in the interest in dietary intake and expansion of related policies, studies on the association between nutrition label reading and dietary intake are lacking in Korea. METHODS: This study analyzed the 2007-2009 KNHANES (Korean National Health and Nutrition Examination Survey) data. To examine macronutrients and micronutrients intake according to nutrition label reading, analysis of covariance was used. Multiple logistic regression analysis was also used to examine the association between adherence to dietary reference intake and nutrition label reading. RESULTS: Nutrition label reading was significantly high among women, youth, and those with high education and high household income. Nutrition label reading was associated with higher intake of calcium and vitamin C in men and the lower intake of calorie, carbohydrates and higher energy ratio of protein in women. Additionally, male nutrition label readers were associated with adherence to dietary reference intake of fiber (odds ratio [OR], 2.00; 95% confidence interval [CI], 1.23 to 3.26) and calcium (OR, 1.26; 95% CI, 1.03 to 1.54). In women, there were no significant differences in the adherence to the dietary reference intake in fat, fiber, sodium, potassium, and calcium according to the nutrition label reading. CONCLUSION: In men, nutrition label reading was associated with healthier intake of several micronutrients, although this was not observed in women. Consideration for clearly reporting vulnerable micronutrients in nutrition labels is necessary.
Adolescent ; Adult* ; Ascorbic Acid ; Calcium ; Carbohydrates ; Education ; Family Characteristics ; Female ; Food Habits ; Food Labeling ; Humans ; Korea ; Logistic Models ; Male ; Micronutrients ; Potassium ; Recommended Dietary Allowances ; Sodium