• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.257-264
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• 2019

This study was to investigate the relationship between the smoking status and the number of tooth loss according to the daily average smoking amount of the elderly in Korea using the raw data of the 6th National Health and Nutrition Survey. The study subjects were 4,037 elderly people aged 65 or older. As a result, it was found that 2.35 times more severe heavy smoking in the past, 3.01 times in the current light smoker, 3.27 times in the current heavy smoker, Respectively. This study confirmed that there is a difference in the risk of tooth loss according to the average daily smoking amount. Therefore, in order to increase and maintain the residual teeth as much as possible, it can be suggested as an objective data of smoking cessation treatment at the dental clinic and contribute to motivation.

• Journal of radiological science and technology
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• v.42 no.3
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• pp.223-229
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• 2019

In order to reduce the radiation exposure dose of the patient and to obtain accurate diagnosis results, the quality control of the diagnostic radiation generator must be conducted periodically In particular, bone density test equipment could be influenced by many factors, and it is far more important because inaccurate measurement would eventually affect the result value. However, the cross-correction phantom of DXA equipment is poorly penetrated due to lack of awareness of the industry and the high cost. Therefore, this study developed a BMD phantom using a 3D printer and Korean BMD phantom with low cost by cross analyzing Korean BMD value from The Korean National Health and Nutrition Examination Survey and evaluated it. The L1, L2, and L3 BMD values of phantoms produced with the 3D printer were measured to be $0.887{\pm}0.006g/cm^2$, $0.927{\pm}0.006g/cm^2$, and $0.960{\pm}0.005g/cm^2$, at 215 mm height and $0.882{\pm}0.011g/cm^2$, $0.914{\pm}0.005g/cm^2$, $0.933{\pm}0.008g/cm^2$ at 155 mm height displaying statistically significant relevance. The result suggests that a proper quality control and cross calibration of DXA device be possible and expected to be an essential data for various medical phantom manufacture development using 3D printer.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.461-470
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• 2019

In diabetes mellitus, renal disease is a common complication, characterized by increased urinary albumin excretion and reduced eGFR. According to KDIGO CKD stage classification, Korean characteristics were analyzed according to urinary albumin and eGFR using the National Health and Nutrition Examination Survey VI raw data. According to KDIGO classification, diabetic patients were classified as Low risk 72.0%, Moderate risk 19.3%, High risk 5.6% and Very high risk 3.0%. Low risk decreased from 74.7% to 52.2%, and moderate to very high risk increased from 25.4% to 47.8% as the duration of diabetes mellitus was prolonged. The risk factors were CKD stage 1 (HR 2.064) to stage 4 (HR 11.049), the highest risk of hypertension. The incidence of renal disease was elevated according to duration of hypertension and HR 0.42 of kidney disease was decreased in the group maintaining proper blood pressure. In the hypertensive patients, the group administered with target blood pressure had a reduction of the kidney disease by 42% than the group with the hypertension. Therefore, controlling and managing hypertension to target blood pressure is important for the prevention of kidney disease.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.3
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• pp.127-139
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• 2019

Purpose : The lipid profile is a major predictive index for cardiovascular disease, but there have only been a few studies conducted on the relationship between lipid ratio and cardiovascular disease risk factors in the Korean population. To address this research gap, we investigated the association between three lipid ratios and cardiovascular disease risk factors among Korean adults. Methods : This study used data from the seventh Korea National Health and Nutrition Examination Survey conducted in 2016. Lipid ratios included triglyceride (TG)/high density lipoprotein cholesterol (HDL), total cholesterol (TC)/HDL, and low density lipoprotein cholesterol (LDL)/HDL. Cardiovascular risk factors included in this research were: systolic blood pressure $(SBP){\geq}140$, diastolic blood pressure $(DBP){\geq}90$, fasting blood sugar $(FBS){\geq}126$, $HbA1c{\geq}6.5$, body mass index $(BMI){\geq}25$, waist circumference (WC) $men{\geq}90$, $women{\geq}85$, and metabolic syndrome (MetS). A complex samples logistic regression test was performed to analyze the association between lipid ratios and cardiovascular disease risk factors. Results : 1) TG/HDL ratio had statistically significant relationships with DBP, FBS, HbA1c, BMI, WC and MetS. 2) TC/HDL ratio was correlated to SBP, DBP, FBS, BMI, WC, and MetS. 3) LDL/HDL ratio had association with BMI, WC, and MetS. Conclusion : We identified significant association between lipid ratios and cardiovascular disease risk factors. The three lipid ratios were particularly strongly associated with BMI, WC, and MetS.

• The Korean Journal of Applied Statistics
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• v.32 no.4
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• pp.619-630
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• 2019

Dyslipidemia is a representative chronic disease affecting Koreans that requires continuous management. It is also a known risk factor for cardiovascular disease such as hypertension and diabetes. However, it is difficult to diagnose vascular disease without a medical examination. This study identifies risk factors for the recognition and prevention of dyslipidemia. By integrating them, we construct a statistical instrumental nomogram that can predict the incidence rate while visualizing. Data were from the Korean National Health and Nutrition Examination Survey (KNHANES) for 2013-2016. First, a chi-squared test identified twelve risk factors of dyslipidemia. We used a naïve Bayesian classifier model to construct a nomogram for the dyslipidemia. The constructed nomogram was verified using a receiver operating characteristics curve and calibration plot. Finally, we compared the logistic nomogram previously presented with the Bayesian nomogram proposed in this study.

• Journal of Korean Biological Nursing Science
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• v.25 no.2
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• pp.131-142
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• 2023

Purpose: The aim of this study was to assess lipid levels and to identify groups with poor lipid control group among patients with dyslipidemia. Methods: Data from 1,399 Korean patients with dyslipidemia older than 20 years were extracted from the Korea National Health and Nutrition Examination Survey. Complex sample analysis and decision-tree analysis were conducted with using SPSS for Windows version 27.0. Results: The mean levels of total cholesterol (TC), triglyceride (TG), low density lipoprotein-cholesterol (LDL-C), and high density lipoprotein cholesterol were 211.38±1.15 mg/dL, 306.61±1.15 mg/dL, 118.48±1.08 mg/dL, and 42.39±1.15 mg/dL, respectively. About 61% of participants showed abnormal lipid control. Poor glycemic control groups (TC ≥ 200 mg/dL or TG ≥ 150 mg/dL or LDL-C ≥ 130 mg/dL) were identified through seven different pathways via decision-tree analysis. Poor lipid control groups were categorized based on patients' characteristics such as gender, age, education, dyslipidemia medication adherence, perception of dyslipidemia, diagnosis of myocardial infarction or angina, diabetes mellitus, perceived health status, relative hand grip strength, hemoglobin A1c, aerobic exercise per week, and walking days per week. Dyslipidemia medication adherence was the most significant predictor of poor lipid control. Conclusion: The findings demonstrated characteristics that are predictive of poor lipid control and can be used to detect poor lipid control in patients with dyslipidemia.

• Journal of Nutrition and Health
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• v.52 no.1
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• pp.47-57
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• 2019

Purpose: This study was conducted to investigate the relationship between atopic dermatitis and dietary fat and fatty acid (FA) intakes in 9 ~ 11 year old children. Methods: We analyzed data from the combined 2013 ~ 2015 KNHANES (Korean National Health and Nutrition Examination Survey). Subjects were divided into two groups according to atopic dermatitis (AD); with AD and without AD. Data pertaining to macronutrients and FA intakes were obtained by a single 24-h dietary recall. Food sources were identified based on the amounts of total fat and FA consumption according to each food. The associations between each FA intake and atopic dermatitis were analyzed using simple and multiple logistic regression analyses. Age, sex, body mass index (BMI) and income levels were adjusted as covariates. Results: Of the participants, 17.69% suffered from atopic dermatitis. Children with AD had significantly lower fat percentages of total energy and higher carbohydrate percentages of total energy than normal children. Percentages of energy and intakes of polyunsaturated fatty acid (PUFA), n-3 FA and n-6 FA in children with AD were significantly lower than those in normal children. In the FA, linoleic acid, ${\gamma}$-linoleic acid and ${\alpha}$-linolenic acid levels of children with AD were significantly lower than those of normal children. However, the P/S ratio and n-6/n-3 ratio did not differ significantly between children with AD and normal children. Soybean oil was the main contributor to PUFA, n-3 FA and n-6 FA in both groups, while perilla seed oil and mackerel were the major food sources of n-3 FA in children with atopic dermatitis. Atopic dermatitis was significantly correlated with low-fat and high-carbohydrate diets. The adjusted odds ratios were 0.966, 0.776 and 0.963 for PUFA, n-3 FA, and n-6 FA intakes, respectively. Conclusion: The present study provides reliable evidence regarding the relationship between fat and FA intakes and AD in Korean children 9 ~ 11 years of age.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.90-100
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• 2019

Objectives : This study aimed to investigate the association between depression with atypical features and metabolic syndromes in Korean adults using the 2016 Korean National Health and Nutrition Examination Survey (KNHANES) data. Methods : We used the 2016 KNHANES data to enroll 277 participants with a score of 10 or higher on Patient Health Questionnaire-9. Depression with atypical features was diagnosed when at least two of the following criteria were met : 1) sleeping more than 10 hours a day ; 2) weight gain of more than 3 kg in a year ; and 3) fatigue/anergia. Depression was divided into two groups based on the presence/absence of atypical features. Physical and mental health, and risk of metabolic syndrome were compared between the groups. Results : Among the 277 participants, 91 had depression with atypical features. We identified significant differences in age, sex, income, and education between the two groups. After adjusting for these variables, depression with atypical features had lower EuroQol-5D index scores (p<0.001) and higher prevalence of metabolic syndromes (p=0.035) compared to the depression without atypical features. Depression with atypical features had higher odds ratio (OR) in association with metabolic syndromes after adjusting for confounding variables (OR=1.923 ; 95% confidence interval : 1.069-3.460). Conclusions : Depression with atypical features increases the risk of metabolic syndromes and lowers the quality of life.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.297-305
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• 2019

This study was conducted to compare the factors affecting quality of life according to the perception of subjective body image in adult women as a secondary study of the 7th 1st year Korean National Health and Nutrition Examination Survey data. The subjects were 3,392 adult women and their general characteristics, physical factors and psychological factors were analyzed. Data were analyzed using the IBM SPSS 25.0 program after generating weighted composite sample plans and the significance level was set at 0.05. Factors influencing the quality of life of subjects who perceived their subjective body image as thin were education level, birth experience, depression, and subjective health and their explanatory power was 43.1%. Factors influencing the quality of life for those who perceived their bodies as moderate were education level, depression, and subjective health, and their explanatory power was 26.5%. Factors that affected quality of life for those who perceive their bodies as obese were age, weight change for one year, weight control for one year, presence of high blood pressure, BMI, and subjective health, and their explanatory power was 40.9%. The results of this study indicate it is necessary consider the factors influencing each subjective perception to improve individual quality of life.

• Korean Journal of Community Nutrition
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• v.29 no.3
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• pp.234-252
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• 2024

Objectives: This study examined the intake of energy and macronutrients among elementary, middle, and high school students according to household income before the COVID-19 pandemic (2016-2019), during the social distancing period (2020-2021), and after the social distancing measures were lifted (2022). Methods: We included 5,217 students aged 5-18 from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2016 and 2022. Dietary intake was assessed using one-day 24-hour dietary recalls. We estimated the least squares means (LS-means) of intake according to household income for each period using a weighted linear regression model, adjusted for age and sex. Differences in LS-means between the periods were analyzed using the t-test. Results: During the social distancing period, the LS-means of energy intake among students decreased significantly by 143.2 kcal/day compared to pre-pandemic levels (P < 0.001). Students from low-income households experienced a more pronounced decrease in energy intake (-379.1 kcal/day, P < 0.001) and macronutrient intake compared to those from other income groups. Energy intake at school significantly declined for all income groups during the social distancing period compared to before the pandemic. No significant changes in home energy intake were observed among low-income students, whereas there was an increase for students from higher-income groups. Before the pandemic, 8.5% of students from low-income households reported insufficient food due to economic difficulties; this figure rose to 21.3% during the pandemic. Conclusions: During the pandemic, students from low-income families experienced significantly lower intake of energy and macronutrients compared to pre-pandemic levels. The most substantial reductions were noted among low-income students, largely due to the lack of compensation for decreased school-based intake with increased intake at home.