• Journal of the Korean Dietetic Association
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• v.21 no.3
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• pp.181-193
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• 2015

This study investigated anthropometric and biochemical characteristics, nutrient intakes, and bone density of Korean elderly men (over 65 yrs). Data on bone density and anthropometric (height, weight, waist circumference, body mass index and blood pressure) and biochemical (total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, triglyceride and hemoglobin) characteristics, nutrient intakes, and nutrient density were obtained from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES, 2008~2011). Subjects were categorized into smoking and non-smoking groups, and smoking groups were divided into three groups by smoking period (under 20 yrs, 21~40 yrs and over 41 yrs). Serum triglyceride concentrations of the smoking group aged 21~40 yrs were higher than those of other groups (P<0.01), whereas other biochemical factors were not different. Intake ratios of energy, protein, phosphorus and sodium in subjects were over 100% of Dietary Reference Intake for Koreans (KDRI). Nutrient densities according to intakes of thiamin, riboflavin, and niacin per 1,000 kcal were significantly different among the groups (P<0.05). Bone density of subjects decreased according to smoking period (T-score of total femur in non-smoking group -0.3108, and -0.2918, -0.4941, -0.6847 in smoking group, respectively). Ratio of osteoporosis was 38.1% in the non-smoking group and 44.4%, 51.1%, and 64.0% in the smoking group, respectively. The findings of the present study show that smoking may be associated with bone health, higher ratio of osteoporosis, and low nutrient density in elderly men. Therefore, practical and systematic non-smoking programs are required to improve the bone density of elderly men as well as maintain healthy bone levels and desirable lifestyle.

• Journal of the Korean Dietetic Association
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• v.20 no.2
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• pp.110-122
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• 2014

This study investigated factors affecting the bone mineral density (BMD) of Korean young adult women (20~30 yrs) living in Seoul, according to the state of employment. Data on BMD and anthropometric and biochemical measurements were obtained from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V) (2010~2011). BMD of the working group (WG) was generally higher than that of the non-working group (NWG). The prevalence of osteopenia, and osteoporosis between the groups was 29.0/31.5%, and 12.9/18.5% from 20~29 yrs as well as 25.5/24.1%, and 20.2/20.5% from 30~39 yrs, respectively. From 20~29 yrs, prevalence of osteopenia and osteoporosis in the WG was lower than that of the NWG. Alkaline phosphatase activity of the WG was lower than that of the NWG. In the WG, from 20~29 yrs, total femur BMD showed significant positive correlations with waist circumstance and BMI. In the NWG, from 20~29 yrs, total femur, femoral neck, and lumbar spine BMDs showed significant positive correlations with weight and fat mass, whereas they showed significant negative correlations with vitamin D. In the WG, from 30~39 yrs, total femur and femoral neck BMDs showed significant positive correlations with weight and free fat mass. The results of this study show that BMD of young adult women is insufficient regardless of their employment status. Therefore, practical and systematic programs are required to improve the BMD of young adult women as well as to maintain healthy bone levels.

• Korean Journal of Community Nutrition
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• v.25 no.2
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• pp.150-158
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• 2020

Objectives: This study was conducted to estimate usual meat intake distribution, which may have been over/underestimated when estimations were made using only the third food codes of the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: For this purpose, 24-hour recall data from the 2009 Korea National Health and Nutrition Examination Survey, which conducted a partial 2-day survey of food intake, were used. The Multiple Source Method (MSM) was used to estimate the distribution of the usual intake of red and processed meats. Results: The results of this study show that the mean intake of red meat was 45.07 g while that of processed meat was 4.33 g. These results are slightly higher than the consumption calculated using only tertiary food code, and the difference was statistically significant. Furthermore, characteristics of the estimated usual intake distribution were a smaller standard deviation, increased lower percentiles, and decreased upper percentiles compared to the 2-day mean intake distribution for both red and processed meats. The proportion of individuals not consuming red meat decreased substantially from approximately 37% to 0.7%. The proportion of consumption that exceeded 90 g, which is the upper limit of red meat intake recommended by the National Health Service (NHS), was only approximately 10% in the distribution of usual intake. Conclusions: As the consumption of processed foods is expected to continuously increase, caution is needed regarding the processes used to calculate food (group) intake to avoid over/underestimation. Moreover, use of KNHANES data to calculate the proportion of the population at risk of insufficiency or excess intake of certain nutrients or food (group), based on one day intake that does not address within-individual variation, may lead to biased estimates.

• Journal of Preventive Medicine and Public Health
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• v.48 no.3
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• pp.170-177
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• 2015

Objectives: The goal of this study was to examine the association of various demographic and socioeconomic factors with risk factors for chronic kidney disease (CKD). Methods: We used nationally representative pooled data from the Korea National Health and Nutrition Examination Survey (KNHANES), 2007-2013. We estimated the glomerular filtration rate (GFR) using the Modification of Diet in Renal Disease equation. We defined CKD as a GFR <60 mL/min/$1.73m^2$, and 1304 of the 45 208 individuals included in the KNHANES were found to have CKD by this definition. The outcome variable was whether individual subjects adhered to the CKD prevention and management guidelines recommended by the Korea Centers for Disease Control and Prevention. The guidelines suggest that individuals maintain a normal weight, abstain from alcohol consumption and smoking, manage diabetes and hypertension, and engage in regular exercise in order to prevent and manage CKD. Results: This study found that individuals with CKD were more likely to be obese and have hypertension or diabetes than individuals without CKD. In particular, male and less-educated CKD patients were less likely to adhere to the guidelines. Conclusions: Although the prevalence of CKD, as indicated by the KNHANES data, decreased from 2007 to 2013, the prevalence of most risk factors associated with CKD fluctuated over the same time period. Since a variety of demographic and socioeconomic factors are related to the successful implementation of guidelines for preventing and managing CKD, individually tailored prevention activities should be developed.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.6
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• pp.710-722
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• 2014

This study investigated factors affecting the bone mineral density (BMD) of Korean adult men. Data on BMD and anthropometric (height, weight, body mass index, BMI, waist circumference, body fat) and biochemical(total cholesterol, vitamin D, alkaline phosphatase, ALP) measurements were obtained from the Fourth and Fifth Korea National Health and Nutrition Examination Surveys (KNHANES, 2008~2011). Overall, BMD of the subjects was decreased from year to year (T-score of 30~39 yr decreased to 0.447 (2010~2011) from 0.106(2008~2009) and in 50~59 yr decreased to 0.234 from 0.033. Age was negatively associated with BMD (T-score 0.361 of 20~29 yr group and -0.894 of ${\geq}80yr$ group in total femoral). According to increase of weight, BMI and waist circumference continuously increased BMD. High value of total cholesterol (T-score 0.157 of 201~<230 mg/dL group and 0.064 of ${\geq}230mg/dL$ group in total femoral) and alkaline phosphatase (T-score 0.337 of ${\leq}102IU/L$ group and -0.270 of ${\geq}336IU/L$ group in total femoral) were associated with lower BMD. Overall height, weight and BMI were positively associated with BMD, and ALP were negatively associated with BMD. Finding of the present study showed that bone loss may be associated with various factors such as age, weight, BMI, total cholesterol, vitamin D and ALP density and that much attention should be paid to bone health of adult men. Therefore, practical and systematic programs are required to improve the BMD of adult men as well as to maintain bone health.

• Journal of the Korean Dietetic Association
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• v.20 no.3
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• pp.157-173
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• 2014

The main purpose of this study was to investigate factors that affect bone mineral density (BMD) in Korean adult women ($20{\sim}80{\leq}yr$). Data on BMD, anthropometric (height, weight, body mass index, waist circumference, and body fat), and biochemical (total cholesterol, vitamin D, and alkaline phosphatase) measurements were obtained from the Fourth and Fifth Korea National Health and Nutrition Examination Surveys (KNHANES, 2008~2011). Overall, the BMD of subjects had decreased from year to year: the T-scores decreased from 0.657 (2008~2009) to 0.295 (2010~2011) in 40~49 yr group and from 0.076 to -0.081 in 50~59 yr group. Age was negatively associated with BMD (T-scores of 0.388 in 20~29 yr group and -1.952 in ${\geq}80yr$ group for total femoral). BMD continuously increased with increased weight and body mass index (BMI). High values of total cholesterol (T-scores of -0.005 in 201~229 mg/dL group and -0.094 in ${\geq}230mg/dL$ group for total femoral) and alkaline phosphatase (T-scores of 0.481 in ${\geq}102IU/L$ group and -0.674 in ${\geq}336IU/L$ group for total femoral) were associated with lower BMD. Overall height, weight, and BMI were positively associated with BMD, whereas total cholesterol and alkaline phosphatase (ALP) were negatively associated with BMD. Findings of the present study show that bone loss may be associated with various factors such as age, weight, BMI, total cholesterol, and ALP et al., and that much attention should be paid to bone health of adult women. Therefore, practical and systematic programs are required to improve the BMD of adult women as well as to maintain healthy bone levels.

• Tuberculosis and Respiratory Diseases
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• v.83 no.4
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• pp.268-275
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• 2020

Background: It is not evident that the attributable risk of smoking on mortality in Korea has decreased. We investigated the impact of smoking on all-cause mortality and estimated the attributable risk of smoking in Korean adults. Methods: Those aged ≥20 years with smoking history in the Korean National Health and Nutrition Examination Surveys (KNHANES) 2007-2015 were enrolled. We categorized the participants into three groups as follows: never smoker, <20 pack-years (PY) smokers, and ≥20 PY smokers. We applied inverse probability weighting using propensity scores to control various confounders between the groups. All-cause mortality risks were compared between the groups using the Kaplan-Meier log-rank test. The effects of smoking-attributable risks (ARs) on mortality were also calculated. Results: A total of 50,458 participants were included. Among them, 19,334 (38.3%) were smokers and 31,124 (61.7%) were never smokers. Those with a smoking history of 20 PY or more (≥20 PY smokers), those with a smoking history of less than 20 PY (<20 PY smokers), and never smokers were 18.1%, 20.2%, and 61.7%, respectively, of the study population. Smokers had a higher risk of all-cause mortality compared to never smokers (log-rank test p<0.01). The ARs of smoking were 21.8% (95% confidence interval [CI], 5.7%-37.9%) and 9.0% (95% CI, 6.1%-12.0%) in males and females, respectively. ARs decreased from 24.2% to 19.5% in males and from 9.5% to 4.1% in females between 2007-2010 and 2011-2015. Conclusion: Our study using KNHANES IV-VI data demonstrated that smoking increased the risk of all-cause mortality in a dose-response manner and the ARs of smoking on mortality were 21.8% in males and 9.0% in females during 2007-2015. This suggests that the ARs of smoking on mortality have decreased since around 2010.

• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.214-220
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• 2018

Purpose: This study aimed to investigate the effect of smoking duration, smoked cigarettes per day and smoking cessation period on pulmonary function among ex-smokers: based on the 6th Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was analyzed using the 6th KNHANES data. Pulmonary function tests were performed on a total of 4,214 adults (> 40 years old). A total of 770 adults ex-smokers were eligible for inclusion in the final analysis. Forced vital capacity (FVC), forced expiratory volume in one second ($FEV_1$) and $FEV_1/FEV$ were measured to evaluate pulmonary function. Results: This study showed that there were significant differences in both $FEV_1$ and FVC values based on gender, age and height, among ex-smokers. $FEV_1/FVC$ significantly differed by age, height and the smoking duration prior to smoking cessation. Multiple regression analysis revealed that, $FEV_1/FVC$ accounted for 26.0% of the variance by age, height and smoking duration. There was a difference in the mean value of $FEV_1/FVC$ with or without smoking for more than 10 years. Conclusion: This study's findings show that smoking for over 10 years in an ex-smoker can lead to problems with the respiratory system. The long-term cigarette has progressive ill effects on the respiratory system.

• Nutrition Research and Practice
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• v.15 no.4
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• pp.528-540
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• 2021

BACKGROUND/OBJECTIVES: In a healthy person, from 35 years of age, there is an annual loss of muscle mass at the rate of 1-2% and is associated with a decline in the quality of life. This study aimed to identify the particular dietary patterns associated with the risk of lower lean muscle mass in Korean postmenopausal women. SUBJECTS/METHODS: The Korea National Health and Nutrition Examination Survey (KNHANES) is a population-based, continuous cross-sectional annual survey. The participants of the KNHANES IV (2008-2009) and V (2010-2011) were considered for this study. The study sample consisted of 1548 postmenopausal women, aged 45-86 years. Lower lean muscle mass was defined as having appendicular skeletal muscle mass corrected for body weight less than 1 standard deviation of the young reference group aged 20 to 39 years in KNHANES IV and V. To identify the dietary pattern using factor analysis, 24-h recall data was used. RESULTS: The prevalence of lower lean muscle mass was 31.3% in this study population. Four dietary patterns were identified by factor analysis; 'Diverse', 'Western', 'Traditional', and 'Snacks and beverages'. The 'Western' pattern, highest factor loadings for flour and bread, potatoes, red meat, processed meat, eggs, and cheese, was significantly associated with a high (60%) risk of lower lean muscle mass (odds ratio [95% confidence interval] = 1.60 [1.07-2.39], P for trend = 0.01) after adjustments for potential covariates. The other 3 dietary patterns were not associated with lower lean muscle mass. CONCLUSIONS: The study findings suggest that the 'Western' dietary pattern that includes flour and bread, potatoes, red meat, processed meat, eggs, and cheese, may be associated with a higher risk of lower lean muscle mass in Korean postmenopausal women.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.3
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• pp.107-114
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• 2022

In this paper, we have enhanced the risk prediction of hypertension using the feature selection method in the Korean National Health and Nutrition Examination Survey (KNHANES) database of the Korea Centers for Disease Control and Prevention. The study identified various risk factors correlated with chronic hypertension. The paper is divided into three parts. Initially, the data preprocessing step of removes missing values, and performed z-transformation. The following is the feature selection (FS) step that used a factor analysis (FA) based on the feature selection method in the dataset, and feature importance (FI) and multicollinearity analysis (MC) were compared based on FS. Finally, in the predictive analysis stage, it was applied to detect and predict the risk of hypertension. In this study, we compare the accuracy, f-score, area under the ROC curve (AUC), and mean standard error (MSE) for each model of classification. As a result of the test, the proposed MC-FA-RF model achieved the highest accuracy of 80.12%, MSE of 0.106, f-score of 83.49%, and AUC of 85.96%, respectively. These results demonstrate that the proposed MC-FA-RF method for hypertension risk predictions is outperformed other methods.