• Nutrition Research and Practice
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• 제12권4호
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• pp.307-314
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• 2018

BACKGROUND/OBJECTIVES: Numerous researches have studied the association between sugar intake and obesity of children in many countries. This study was undertaken to investigate the association between beverage intake and obesity of children by reviewing a database for total sugar contents established in all foods and presented in a nutrition survey by the Korea National Health and Nutrition Examination Survey (KNHANES). SUBJECTS/METHODS: Data of 1,520 children aged 6-11 years in the 6th KNHANES (2013-2015) were analyzed for this study. A database for total sugar intake comprises the total sugar contents of all foods included in the results of a nutrition survey using the 24-hour recall method of 6th KNHANES. Beverages were categorized into carbonated beverages, fruit & vegetable drinks, other drinks, tea, and coffee. RESULTS: The average daily beverage intake of all children was 131.75 g/day, and the average daily total sugar intake in beverages was 13.76 g/day. Carbonated beverages had the highest intake rate (58.85 g/day) and also ranked highest for sugar intake (6.36 g/day). After adjusting for confounding variables, the odds ratio for obesity in children with beverage intake of ${\geq}200mL/day$ significantly increased by 1.83 times (95% CI, 1.11-3.00) as compared to children with beverage intake of < 200 mL/day. Also, a significant increase was observed in the odds ratio for obesity in total children (2.41 times; 95% CI, 1.35-4.33) and boys (3.15 times; 95% CI, 1.53-6.49) with carbonated beverage intake of ${\geq}200mL/day$ when compared with children who consumed < 200 mL/day. CONCLUSION: A positive association is observed between beverage intake and obesity in Korean children. In particular, an intake of carbonated beverages has a positive correlation with childhood obesity in boys. This study can therefore be used as scientific evidence for reducing sugar, and for the continuous management and research on beverages.

• 한국치위생학회지
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• 제15권6호
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• pp.991-997
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• 2015

Objectives: The purpose of the study is to investigate the relationship between body mass index(BMI) and periodontal disease in Korean adult from the data of the fifth Korea National Health and Nutrition Examination Survey(KNHANES). Methods: The subjects were 3,309 adults from 25 ro 45 years old in the fifth KNHANES. The subjects were divided into three BMI categories: normal weight 1,549(BMI ${\leq}22.9kg/m^2$), overweight 792(BMI $23.0-25.0kg/m^2$) and obesity 968(BMI ${\geq}25.0kg/m^2$). Periodontal disease was assessed by community periodontal index(CPI) and periodontitis was defined as ${\geq}$ code 3. Results: Increased BMI adults had no significantly higher prevalence of periodontitis than those having normal body weight after adjusting for variables; the odds ratio(OR) was 1.06 in overweight and 1.23 in obesity. BMI and periodontitis had no significant relation to increased age, but the age increase tended to have high odds ratio. Women had a higher OR than men. Conclusions: Through this study, it is necessary to analyze the relationship between the obesity index and periodontitis in the further study.

• 대한영양사협회학술지
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• 제20권2호
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• pp.99-109
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• 2014

The purpose of this study was to estimate the prevalence of osteoarthritis as well as assess the risk factors associated with osteoarthritis in Koreans over 65 years using data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010~2012. Of the participants from KNHANES V, a total of 3,479 subjects were analyzed using SPSS statistics complex samples (Windows ver. 21.0). Osteoarthritis was more frequently found in female (32.5%) or rural (26.8%) groups than male (9.3%) or urban (20.3%) groups. Mean age of the osteoarthritis group was significantly higher than that of the normal group. Mean values of BMI and waist circumference were significantly higher in the osteoarthritis group than in the normal group, whereas height, fasting blood glucose, total cholesterol, LDL-cholesterol, HDL-cholesterol, triglyceride, hemoglobin, and hematocrit levels were not. Health-related quality of life (EQ-5D) was significantly higher in the normal group than in the osteoarthritis group. The results of multiple logistic regression showed that obesity and vitamin A/riboflavin intakes were significantly related to the prevalence of osteoarthritis, whereas smoking, alcohol intake, physical activity, hypertension, hypercholesterolemia, hypertriglyceridemia, anemia, and diabetes were not. This study suggests that obesity and nutrient intakes were associated with osteoarthritis, whereas chronic diseases such as hyper-lipidemia, anemia, and diabetes as well as health habits were not. Prospective research of long-term control is needed to establish the effects of those factors on the osteoarthritis.

• Nutrition Research and Practice
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• 제14권6호
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• pp.667-678
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• 2020

BACKGROUND/OBJECTIVES: This study aimed to improve portion size estimation aids (PSEAs) used in the nutrition survey of the Korea National Health and Nutrition Examination Survey (KNHANES) and validate the accuracy and precision of the newly developed aids. SUBJECTS/METHODS: We conducted intensive interviews with survey experts in KNHANES and consulted with experts to collect opinions about improvement of PSEAs. Based on the results of the interviews, 5 types of PSEAs (rice bowl, earthen pots, mounds, measuring spoons, and thickness sticks) were newly developed using 3-dimensional (3D) modeling or modification of color or shape. Validation tests were conducted with 96 adults 20 years old or older. For the rice bowl and earthen pots, the participants were asked to select the more similar PSEA in size after being shown the real dishes. For the mounds, measuring spoons, and thickness sticks, the participants were presented with actual plates of food and asked to estimate the given portion sizes using the given PSEAs. RESULTS: The improved 2-dimensional (2D) picture aid for the rice bowl reflecting the size distortion by angle of view using 3D modeling was perceived more closely to the actual size than the current 2D picture (P < 0.001). The change of the color of 2D pictures and 3D models, the change of shape of the measuring spoons, and the 3-dimensionalization of the 2D mounds had no significant improvement in the subjects' perception. CONCLUSIONS: The currently used 2D PSEAs need to be fully redesigned using 3D modeling to improve subjects' perception. However, change of color or shape will not be necessary. For amorphous foods, it is suggested that more evaluation be performed before reaching a final conclusion in the use of PSEAs, or alternative ways to improve accuracy of estimation need to be explored.

• 한국치위생학회지
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• 제16권5호
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• pp.709-716
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• 2016

Objectives: The purpose of the study is to investigate the health and oral health factors related to hypertension in Korean elderly. Methods: The study subjects were 1,527 elderly people${\geq}65$ years old who underwent physical examination and completed the health survey questionnaire of KNHANES 2014. Results: The risk of hypertension was higher in nonsmoking female elderly having poor subjective health status and low body mass index (BMI). The risk of hypertension was also higher in the elderly having poor subjective oral health status and no oral examination in the previous year. Conclusions: Health risk factors for hypertension and oral health factors may be useful measures to manage hypertension and enhance quality of life in the elderly.

• 한국조리학회지
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• 제24권2호
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• pp.16-22
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• 2018

This study was conducted to investigate that the nutrition labeling use is associated with demographic and psychosocial factors according to each nutrition information on the nutrition labeling in Korean adults. The study subjects (N=1,140) were individuals who were aged 20 years and more and answered on the question of nutrition label use and who participated in the Korean National Health Examination and Nutrition Survey (KNHANES) in 2010.As age older, there was more interest in information such as sugar, protein, fat, cholesterol than calories. In contrast, as age younger, there was more interest intrans-fat, sodium as well as calories. As higher education level, there were more aware of trans-fat, sodium and calories. From the result that the most interested nutrition items were significantly different by democratic factors, we could understand interested nutrient information on the nutrition labels could change according to individual specific education. Therefore, this can also provide basic data for systematic education program by nutrition label use.

• Clinical Nutrition Research
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• 제12권2호
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• pp.138-153
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• 2023

The prevalence of metabolic syndrome (MetS) and its cost are increasing due to lifestyle changes and aging. This study aimed to develop a deep neural network model for prediction and classification of MetS according to nutrient intake and other MetS-related factors. This study included 17,848 individuals aged 40-69 years from the Korea National Health and Nutrition Examination Survey (2013-2018). We set MetS (3-5 risk factors present) as the dependent variable and 52 MetS-related factors and nutrient intake variables as independent variables in a regression analysis. The analysis compared and analyzed model accuracy, precision and recall by conventional logistic regression, machine learning-based logistic regression and deep learning. The accuracy of train data was 81.2089, and the accuracy of test data was 81.1485 in a MetS classification and prediction model developed in this study. These accuracies were higher than those obtained by conventional logistic regression or machine learning-based logistic regression. Precision, recall, and F1-score also showed the high accuracy in the deep learning model. Blood alanine aminotransferase (β = 12.2035) level showed the highest regression coefficient followed by blood aspartate aminotransferase (β = 11.771) level, waist circumference (β = 10.8555), body mass index (β = 10.3842), and blood glycated hemoglobin (β = 10.1802) level. Fats (cholesterol [β = -2.0545] and saturated fatty acid [β = -2.0483]) showed high regression coefficients among nutrient intakes. The deep learning model for classification and prediction on MetS showed a higher accuracy than conventional logistic regression or machine learning-based logistic regression.

• Journal of Nutrition and Health
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• 제51권5호
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• pp.414-422
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• 2018

Objective: Dietary nutrients may play a significant role in depressive disorders. However, sufficient evidences in epidemiological studies are limited. We investigated the cross-sectional association between dietary nutrients and the prevalence of depressive disorder in Korean adults using representative Korean data. Methods: Participants were 2,938 adults aged 19 ~ 64 years from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted in 2014. Dietary intakes were assessed using 24-h recall method. Depressive disorder was assessed using Patients Health Questionnaire-9 (PHQ-9, self-depression test) as applied in 2014 KNHANES only. We defined depressive disorder as having a PHQ-9 score of ${\geq}10$, which was characterized as moderate depression and more. A multivariate logistic regression analysis was performed to estimate the adjusted odd ratios (ORs) and 95% confidence interval (CIs) of depressive disorder. Results: Among the 2,938 subjects, 170 were identified as having depressive disorder. The multivariate-adjusted regression analysis demonstrated that the risk of depression was significantly associated with riboflavin (OR = 0.44, 95% CI: 0.24-0.85, p for trend = 0.018), thiamin (OR = 0.48, 95% CI: 0.23-0.99, p for trend = 0.045), and vitamin C (OR = 0.57, 95% CI: 0.34-0.95, p for trend = 0.025) in the highest versus lowest tertiles of intake. Conclusion: The high consumption of riboflavin, thiamin, and vitamin C was associated with the low prevalence of depressive disorder in Korean adults.

• Nutrition Research and Practice
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• 제16권2호
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• pp.233-247
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• 2022

BACKGROUND/OBJECTIVES: The objective of this study was to describe the development process of the Korean Healthy Eating Index (KHEI) based on the Korea National Health and Nutrition Examination Survey (KNHANES). SUBJECTS/METHODS: The components of KHEI were selected based on Dietary Guidelines for Koreans, domestic and overseas dietary quality indices, and results of the analysis of association with chronic diseases. The standards for scoring of KHEI were selected based on the 2015 Dietary Reference Intakes for Koreans (KDRI). The KHEI scores of Korean adults were calculated using a 1-day 24-h recall data in the 2013-2015 KNHANES. RESULTS: The KHEI included eight adequacy components evaluating the proper intake of recommended foods such as fruit, vegetable, and milk and three moderation components evaluating the consumption of food that limit intake such as sodium and saturated fatty acid. In addition, three balance components assessing the balance of energy intake were included. The KHEI score was defined to range from the minimum of 0 point to the maximum of 100 points. Among Korean adults, the total KHEI score was 63.2 out of 100. Gender and age differences were found in the average of total KHEI scores. Women showed higher score than men (61.7 in men and 64.7 in women, respectively). By age group, 20s and 30s showed the lowest scores with 57.4 and 61.1 respectively, and the scores increased with age by peaking at 67.8 in ages 60-69 and slowed down again in ages 70 or over. CONCLUSIONS: The KHEI can be useful for establishing and assessing national nutritional policies and in epidemiological studies to assess the relationship between overall dietary quality and chronic diseases. KHEI will need to be continuously updated to reflect changes in dietary guidelines and the KDRI.

• 한국멀티미디어학회논문지
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• 제17권3호
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• pp.353-363
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• 2014

Cloud computing is an internet-based technology, providing services to the virtualized IT environment, and allowing users to add or remove resources of hardware or software at their discretion. Since Cloud computing can construct virtually integrated environments out of multiple local computing environments, various information services can be provided by it. In addition, state organizations also strive to build the cloud computing environments due to the benefits of reduced costs to introduce the system and of reduced time to build and provide the IT services. This study suggests a web-based cloud computing system for the computing environments, to be applied for the Korean National Health and Nutrition Examination Survey (KNHANES) by the Ministry of Health and Welfare, Republic of Korea.