• Korean Journal of Community Nutrition
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• v.26 no.4
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• pp.296-306
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• 2021

Objectives: The objective of this study was to estimate the distribution of the usual dietary intake of foods with respect to the probability of consumption derived from the Food Frequency Questionnaire (FFQ) of the 2009 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: The intake quantity and frequency of 63 food items were assessed from the 2009 KNHANES which was completed by 7,708 participants. The participants completed one or two 24-h dietary recalls and one FFQ. The usual intake distribution was estimated using the multiple source method (MSM), and the proportion of non-consumers was calculated through the usual intake distribution. This was then compared with the proportion of non-consumers from the 24-hour recall method. Results: The difference in the proportion of non-consumers ranged from 2% to 82.9%, indicating that there is a very large difference based on food groups. The food groups in which the proportion of non-consumers did not differ was composed of foods consumed daily, such as 'rice', 'cereal and barley', and 'Chinese cabbage and kimchi', or foods with distinct palatability such as 'coffee' and 'alcohol'. On the other hand, in the case of the food groups with a high difference in the proportion of non-consumers, most comprised fruits that emphasized seasonality. Conclusions: In the case of foods or food groups that are occasionally consumed, it is desirable to use 2 recalls with additional FFQ data by combining the consumption frequency and the quantity consumed.

• Korean Journal of Adult Nursing
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• v.26 no.3
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• pp.372-381
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• 2014

Purpose: This study investigated the prevalence of hypertension, explored sleep duration, and examined the related factors to hypertension in Korean middle-aged adults. Methods: Using raw data from the Korean National Health and Nutritional Examination Survey (KNHANES) conducted from 2008 to 2010, a secondary analysis was performed with data from 13,230 adults aged 30~64 years. ${\chi}^2$-test and multiple logistic regressions was used for the data analysis. Results: The prevalence of hypertension among Korean middle-aged adults was 21.8% and 40.3% among participants reported that their average sleep duration was below six hours a night. Risk factors for hypertension include: female (the odds ratio (OR) 1.66 for male), 50~64 years age group (OR 3.66 for 30~49 years age group), education level of elementary school (OR 1.84 for university level), low household income (OR 1.27 for upper), obesity (OR 2.41), high risk drinking (OR 1.64), and sleep duration${\leq}6$ hrs (OR 1.16 for 8 hrs of sleep). Conclusion: High risk population of hypertension could be male, aged, low education, and low income. Obesity, high risk drinking, and short sleep duration should be considered as risk factors for hypertension. Interventions for obesity management, adequate alcohol drinking and sleep duration could be considered for preventing hypertension.

• Journal of Korean society of Dental Hygiene
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• v.15 no.6
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• pp.963-971
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• 2015

Objectives: The purpose of the study is to investigate the relationship between health factor, oral health factor and revalence of depression in Korea elderly by data from the 5th Korea National Health and Nutrition Examination Survey(KNHANES) 2012. Methods: The subjects were 10,938 elderly over 65 years old by rolling survey method and data were extracted from the 5th Korea National Health and Nutrition Examination Survey(KNHANES) 2012. Data of 1,421 elderly were finally selected and analyzed using kstrada. The questionnaire consisted of socio-demographical characteristics of the subjects, health factors, oral health factors and depression. The oral health factors included subjective perception of oral health, alcohol consumption, exercise, smoking, and toothache. Results: Health factors influencing on the prevalence of depression were subjective health(p<0.001), stress(p<0.001), and alcohol consumption(p<0.05). Oral health factors related to the prevalence of depression were subjective oral health(p<0.05), annual dental checkup(p<0.01), and speaking problem(p<0.01). Conclusions: It is necessary to develop the oral health promotion program for the elderly and help them maintain good quality of life and mental health.

• Journal of Korean society of Dental Hygiene
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• v.19 no.1
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• pp.131-140
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• 2019

Objectives: The purpose of this study was to evaluate the association between asthma and dental caries by using data from the Korean National Health and Nutrition Examination Survey (KNHANES), from 2013 to 2015. Methods: The study included 11,731 subjects who were ${\geq}19$ years of age and analyzed their demographic-, socioeconomic-, health-, and oral health care-related data. The chi-squared test and logistic regression analysis were conducted using complex sample analyses to examine the relationship between asthma and dental caries. Results: Compared with the control group, the risk for dental caries in the asthma group was 1.207 times higher, regardless of various confounding factors (p<0.001). In the asthma group, the mean DMFT score was significantly higher than that in the control group (p<0.001). After adjusting for confounding factors, the mean number of DMFT in subjects with asthma was 7.67, which was higher than that in subjects without asthma (7.28) (p<0.001). Conclusions: The study results show that asthma may be a risk factor for dental caries. Therefore, in order to prevent dental caries in asthma patients, oral hygiene education is important.

• Korean Journal of Artificial Intelligence
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• v.12 no.2
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• pp.1-7
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• 2024

In this paper, we compare three models (logistic regression, Random Forest, and XGBoost) for predicting stroke occurrence using data from the Korea National Health and Nutrition Examination Survey (KNHANES). We evaluated these models using various metrics, focusing mainly on recall and F1 score to assess their performance. Initially, the logistic regression model showed a satisfactory recall score among the three models; however, it was excluded from further consideration because it did not meet the F1 score threshold, which was set at a minimum of 0.5. The F1 score is crucial as it considers both precision and recall, providing a balanced measure of a model's accuracy. Among the models that met the criteria, XGBoost showed the highest recall rate and showed excellent performance in stroke prediction. In particular, XGBoost shows strong performance not only in recall, but also in F1 score and AUC, so it should be considered the optimal algorithm for predicting stroke occurrence. This study determines that the performance of XGBoost is optimal in the field of stroke prediction.

• Journal of Korean Biological Nursing Science
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• v.26 no.1
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• pp.49-59
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• 2024

Purpose: This study was conducted to identify factors associated with high-risk drinking in Korean men. Methods: This study was a secondary analysis using data from the Korea National Health and Nutrition Examination Survey (KNHANES VIII-2), 2020. Data were downloaded from the KNHANES website. The subjects of this study were 1,653 alcohol-drinking men between 19 and 64 years of age. Data were analyzed using the Rao-Scott chi-square test and complex sample logistic regression statistics. Results: The high-risk drinking rate among alcohol-drinking men was 27.1%. High-risk drinking was more common in men who smoked (odds ratio [OR] = 2.11, p < .001), men with a middle school education or lower (OR = 1.91, p = .016), men who lived with a spouse (OR = 1.61, p = .025), men who slept less than 6 hours on weekends (OR = 1.51, p = .016), and men who perceived stress (OR = 1.30, p = .044), while it was lower in men who were underweight (OR = 0.19, p = .006). Conclusion: To reduce the rate of high-risk drinking, it is necessary to provide an intervention that considers factors associated with high-risk drinking among men. In particular, smoking was the most important factor associated with high-risk drinking, implying that the integrated management of drinking and smoking is necessary to reduce high-risk drinking.

• Korean Journal of Community Nutrition
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• v.23 no.2
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• pp.116-127
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• 2018

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.

• The Korean Journal of Applied Statistics
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• v.33 no.1
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• pp.25-46
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• 2020

This paper presents ordinal probit semiparametric regression models using Bayesian Spectral Analysis Regression (BSAR) method. Ordinal probit regression is a way of modeling ordinal responses - usually more than two categories - by connecting the probability of falling into each category explained by a combination of available covariates using a probit (an inverse function of normal cumulative distribution function) link. The Bayesian probit model facilitates posterior sampling by bringing a latent variable following normal distribution, therefore, the responses are categorized by the cut-off points according to values of latent variables. In this paper, we extend the latent variable approach to a semiparametric model for the Bayesian ordinal probit regression with nonparametric functions using a spectral representation of Gaussian processes based BSAR method. The latent variable is decomposed into a parametric component and a nonparametric component with or without a shape constraint for modeling ordinal responses and predicting outcomes more flexibly. We illustrate the proposed methods with simulation studies in comparison with existing methods and real data analysis applied to a Korean National Health and Nutrition Examination Survey (KNHANES) 2016 for investigating nonparametric relationship between smoking behavior and coffee intake.

• Journal of Nutrition and Health
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• v.46 no.2
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• pp.186-196
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• 2013

The objective of this study was to develop a semi-quantitative food frequency questionnaire (FFQ) for an adult population for use in the Korea National Health and Nutrition Examination Survey (KNHANES). The 24-hour recall data for 2,939 subjects aged 19 years and over from the fourth KNHANES first year (2007) were used to extract the items included in the questionnaire. The FFQ items were developed by selection of major dishes based on the cumulative contribution rate, between-person variability based on the cumulative R2 of energy and 14 nutrients (carbohydrate, protein, fat, crude fiber, calcium, phosphorous, iron, sodium, potassium, vitamin A, thiamin, riboflavin, niacin, and vitamin C) and the number of consumers of each dish. In addition, the FFQ items were revised with analysis of 24-hour recall data of the fourth KNHANES second and third year (2008, 2009). Finally, 112 items were included in the FFQ and grouped as follows: rice (5 items), noodles and dumplings (6), breads and rice cakes (8), soups and stews (12), soybeans, eggs, meat and fish (23), vegetables, seaweed and potatoes (27), milk and dairy products (4), fruits (13), beverages (5), snacks (6) and alcoholic beverages (3). The food items of FFQ accounted for an average of 87.0% of energy and 14 nutrient intakes and also accounted for 81.7% of the between-person variability. The frequency range of the FFQ items was classified into nine categories (never or seldom, once per month, 2-3 times per month, once per week, 2-4 times per week, 5-6 times per week, once per day, twice per day and three times per day) and the portion size was divided into three categories (small, medium and large). We expect that this developed dish-based FFQ could be used in assessment of longterm dietary intakes of Korean adults.

• Korean Journal of Health Education and Promotion
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• v.29 no.2
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• pp.23-32
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• 2012

Objectives: This study evaluated the association between osteoarthritis (OA) and health-related quality of life (HRQoL) in elderly Korean women. Methods: We selected participants (n=2,597) aged 50 years or older from Korea National Health and Nutrition Examination Survey [KNHANES] 2005-2008. Demographic and personal characteristics, medical history of OA, and EQ-5D were extracted from the KNHANES data. Results: We found that demographic variables, including age, education level, income, and personal characteristics, were important covariates associated with the prevalence of OA and with HRQoL. In this study, OA was an important factor affecting HRQoL in women. The adjusted odds ratio for HRQoL in participants with OA was 2.92 [(95% confidence interval (CI)=2.43-3.51, p<.001)] in mobility, 2.60 (95% CI=2.17-3.10, p<.001) in pain/discomfort, 2.17 (95% CI=1.78-2.65, p<.001) in usual activities, 1.65 (95% CI=1.22-2.24, p=.001) in self care, and 1.47 (95% CI=1.22-1.77, p<.001) in anxiety/depression. After adjustment of covariates, HRQoL was significantly decreased in participants with OA. Conclusions: Our findings reveal that there is a strong association between OA and HRQoL. Preventing and controlling OA may significantly improve the quality of life for elderly Korean women.