• Journal of Korean society of Dental Hygiene
• /
• v.16 no.5
• /
• pp.767-774
• /
• 2016

Objective: The purpose of the study was to investigate the factors affecting unmet dental care needs of Korean using 6th Korean National Health and Nutritional Examination survey(KNHANES). Methods: The subjects were 13,718 Koreans from the 6th KNHANES data. The questionnaire consisted of general characteristics of the subjects, reason for dental care needs by socio-economic status and unmet dental care needs. Data were analyzed using SPSS 21.0 program. Results: The proportion of unmet dental care needs accounted for 27.4% and the main reasons were financial burden and less priority. Male had 0.21 times less unmet dental needs than female. Low, mid low, and mid high economic income groups had 1.27, 1.24, and 1.08 times respectively more unmet dental care needs than high income group. Those having good and average self-perceived oral health status experienced 0.83 and 0.63 times less dental care needs. Conclusions: Socio-economic factors and health status were the important factors of unmet dental care needs and it is necessary to provide a variety of public service of dental care for the low income group.

• Journal of the Korean Dietetic Association
• /
• v.20 no.2
• /
• pp.99-109
• /
• 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.

• The Korean Journal of Community Living Science
• /
• v.22 no.4
• /
• pp.669-678
• /
• 2011

The purpose of this study were to analyze the staple food consumption trend of Koreans using KNHANES(Korea National Health and Nutrition Examination Survey) data. Nutrient intake of 38,840 participants of 1998~2008 KNHANES, over 6 year old were analyzed. For the analysis of major staple food intakes, twenty four hour recall data was used. The results were analyzed by SAS Program, as follows. Despite westernized diet, ranking in the primary energy source of food showed similar patterns. But total calory intake was reduced over the past 11 years and percentage of carbohydrate intake was increased. Relative proportions of protein and fat intake was reduced. The major carbohydrate and protein source of Koreans was rice and grains. Pork and ramen were the major fat source food. Although intake levels were different by gender, age and areas, carbohydrate of rice was primary source of energy in Korea.

• Korean Journal of Community Nutrition
• /
• v.26 no.2
• /
• pp.103-110
• /
• 2021

Objectives: The objective of this study was to develop a zinc database (DB) to estimate the intake levels of zinc in Korean toddlers and preschool children using the data from the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: A total of 3,361 food items for the DB representing the usual diet of Korean toddlers and preschool children were selected based on KNHANES (2009~2013) and the food composition table of Rural Development Administration (RDA). The existing values of zinc in foods were collected from the latest food composition tables of RDA (9th revision) and the US Department of Agriculture (legacy release). The zinc contents were filled preferentially with these collected values. The missing values were replaced with the calculated values or imputed values using the existing values of similar food items from the data source. The zinc intake levels of Korean toddlers and preschool children were estimated using KNHANES and zinc DB Results: A total of 1,188 existing values, 412 calculated values, and 1,727 imputed values were included in the zinc DB. The mean intake levels of zinc for 1-2-year-old children and 3-5-year-olds were 5.17 ± 2.94 mg/day and 6.30 ± 2.84 mg/day, respectively. There was no significant difference in the zinc intake levels between boys and girls in each group. Conclusions: This newly developed zinc DB would be helpful to assess the zinc nutritional status and investigate the association between the zinc intakes and related health concerns in Korean toddlers and preschool children.

• Korean Journal of Community Nutrition
• /
• v.24 no.1
• /
• pp.1-17
• /
• 2019

Objectives: This study was performed to compare the dietary life of single- and non single-person households in the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: A nationally representative sample of 20,421 19-64-year-olds who had 24-hour recall data was taken from the 2014-2016 Korea National Health and Nutrition Examination Survey (KNHANES). Single- and non single-persons were compared for nutrient intake, dietary behaviors, food consumption patterns, nutrition education and confirm nutrition label. Results: The dietary intakes of dietary fiber and iron were lower in single-person households than in non single-person households. The lower the level of education and income, the lower the nutrient intake of single-person households. In the case of those aged 19 to 29, the breakfast skipping rate was higher in single-person households than in non single-person households. The higher the education level, the higher the breakfast skipping rate and the eating out frequency in the single-person households. In the food intake survey, the frequency of healthy food intake in single-person households was much lower than that of non single-person households. The confirmation rate of nutrition labeling was lower in single-person households than in non single-person households. Conclusions: This study shows that single-person households have poorer health-nutritional behaviors than multi-person households. Therefore, a nutrition education program based on the data of this study needs to be developed for health promotion of single-person households.

• Journal of the Korean Society of Food Culture
• /
• v.37 no.4
• /
• pp.376-384
• /
• 2022

This study was performed to develop a K_diet-index based on the definitions and characteristics of traditional Korean food. The Korean Food Pattern Index (K_diet-index) for diseases was applied using dietary data from the 2017 National Health and Nutrition Examination Survey (KNHANES) and the association between K_diet-index and metabolic disease was confirmed. The study subjects were 1,971 Korean adults aged >40, and the components were classified according to 14 criteria used to establish the K_diet-index. Main ingredients up to the top 3 were designated using dish names, ingredients, and contents using KNHANES dietary data. K_diet-index was classified using scores of ≤3 points, 4-7 points, and ≥8 points and total K_diet-index were calculated by summing dietary scores. Correlations between K_diet-index and obesity, hypertension, hyperlipidemia, and diabetes were analyzed. The odds ratio (OR) and 95% confidence interval (CI) for obesity were 0.531, 0.385~0.732 and for elevated cholesterol (≥240 mg/dL) indices were 0.471, 0.282~0.788, respectively, which showed a significant decreased in the risk for each disease for K_diet-index of ≥8 points. This study confirms that metabolically related clinical results improved significantly as K_diet-index increased and that higher Korean food pattern indices are associated with lower risks of metabolic disease

• Korean Journal of Health Education and Promotion
• /
• v.33 no.1
• /
• pp.13-22
• /
• 2016

Objectives: By using six years of KNHANES dataset (2008~2013) about 60 ages older people, we analyzed how the depression prevalence rate in the elderly is influenced by disease and activity limit. Especially, to add a sense of more reality, we adopted stress experience as a control variable to see how the depression prevalence rate in the elderly is influenced by disease and activity limit depending on the stress experience. Methods : We adopted six years of KNHANES dataset, indicating that our results were based on long period of time capable of considering temporal patterns in the depression prevalence rate in the elderly. Total 1,160 elderly people in KNHANES were selected for our empirical analyses. Dependent variable is either 0 or 1 depending on whether the elderly people feel depression. Main explanatory variables for our study include disease and activity limit. Logistic regression analysis was applied for two group such as stress experience and non-experience. Results : According to the empirical results, stress factor is found to be significant in explaining the depression in the elderly. Depression prevalence rate increased when the elderly has stress experience: chronical disease(OR=1.650), chronical disease with activity limit(OR=3.388), non-chronical disease with stress(OR=11.841) chronical disease with stress (OR=13.561) and chronical disease with activity limit and stress(OR=28.691). Conclusions: The finding suggest that the Countermeasures of elderly's depression alleviation should include stress management.

• Journal of Korean Academy of Oral Health
• /
• v.42 no.4
• /
• pp.101-108
• /
• 2018

Objectives: The Korea National Health and Nutrition Examination Survey (KNHANES) is a national surveillance system that has been assessing the health and nutritional status of Koreans since 1998. Based on the National Health Promotion Act, the surveys have been conducted by the Korea Centers for Disease Control and Prevention (KCDC). Methods: An oral examination as part of The National Health and Nutrition Examination was proposed to calculate the sample design and survey participation. The surveying system was presented by classifying the measurement environment, screening, and survey items by year, and the merits and limitations of using the data were suggested by examining the status of survey quality management and the process of disclosing raw data. Results: This nationally representative cross-sectional survey samples approximately 10,000 individuals each year and collects information on oral examinations and oral health interviews. Data for the oral health component of KNHANES was obtained to assess the oral health status of Koreans and determine the prevalence of dental caries and periodontitis. The oral health data quality control of KNHANES was composed of three parts: "Education Program" and "Field Training Program" for quality control of oral health examiners (dentists) by the professional academy, and "Data management" by the KCDC. After completion of the three-step data check, the indicators of dental caries, periodontal disease, and oral health behavior were published in the National Health Statistics. Conclusions: To achieve the goals of oral health indicators, we will continue to monitor so that we can use it as basic data for oral policies and carry out various linkage analyses related to oral diseases.

• Journal of Industrial Convergence
• /
• v.21 no.1
• /
• pp.193-200
• /
• 2023

This study aims to investigated the status of perceived health status, subjective body recognition, and weight change according to age. In addition, the main factors of interest of middle-aged and elderly people were analyzed. This is a secondary data analysis study using data from the 7th Korea National Health and Nutrition Examination Survey(KNHANES VIII-3, 2016-2018), Korea Centers for Disease Control and Prevention. The data were analyzed the data using IBM SPSS 21.0 program. Frequency analysis and chi-square test method was conducted. The significance level was set at p <.01. As a result of the analysis, subjective body recognition and perceived health status were identified to have a statistically significant positive relationship (r=0.256, p<.01). Perceived health status and weight change measured for a year also showed a statistically significant positive relationship (r=0.303, p<.01). Therefore, it is anticipated that the findings of this study are used as basic data for seeking ways for better health, quality of life, and well-being, as the study examines subjective health status and various variables applicable to middle-aged people.

• Communications for Statistical Applications and Methods
• /
• v.26 no.3
• /
• pp.325-336
• /
• 2019

In this article we extend the discrete Weibull regression model in the presence of missing data. Discrete Weibull regression models can be adapted to various type of dispersion data however, it is not widely used. Recently Yoo (Journal of the Korean Data and Information Science Society, 30, 11-22, 2019) adapted the discrete Weibull regression model using single imputation. We extend their studies by using multiple imputation also with several various settings and compare the results. The purpose of this study is to address the merit of using multiple imputation in the presence of missing data in discrete count data. We analyzed the seventh Korean National Health and Nutrition Examination Survey (KNHANES VII), from 2016 to assess the factors influencing the variable, 1 month hospital stay, and we compared the results using discrete Weibull regression model with those of Poisson, negative Binomial and zero-inflated Poisson regression models, which are widely used in count data analyses. The results showed that the discrete Weibull regression model using multiple imputation provided the best fit. We also performed simulation studies to show the accuracy of the discrete Weibull regression using multiple imputation given both under- and over-dispersed distribution, as well as varying missing rates and sample size. Sensitivity analysis showed the influence of mis-specification and the robustness of the discrete Weibull model. Using imputation with discrete Weibull regression to analyze discrete data will increase explanatory power and is widely applicable to various types of dispersion data with a unified model.