• Korean Journal of Community Nutrition
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• v.28 no.5
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• pp.404-413
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• 2023

Objectives: This study compared serum lipid concentration according to drinking habits. Methods: We analyzed data from the 7th Korea National Health and Nutrition Examination Survey (KNHANES VII). The study included 8,525 adults (3,651 males and 4,874 females), aged 30 - 59 years. Results: There were differences in age, gender, education level, smoking status, physical activity, and waist circumference between drinkers and abstainers. The serum low-density lipoprotein-cholesterol (LDL-C) level of the drinkers was lower than those of the abstainers (P < 0.05). The serum triglyceride (TG) and high-density lipoprotein-cholesterol (HDL-C) concentrations were highest in the group that consumed alcohol 'more than twice a week' relative to the other groups (P < 0.001). The LDL-C and atherogenic index (AI) levels were lowest in the 'more than twice a week' drinking group compared to the other groups (P < 0.001). The serum TG and HDL-C concentrations were the highest in the '7 glasses/time' group (P < 0.001). The serum LDL-C concentration was the lowest in the '7 glasses/time' group (P < 0.001). Notably, the higher the frequency of binge drinking (7 glasses or more), the higher the concentration of TG (P < 0.001). The serum HDL-C concentration was significantly higher in the 'no binge' and 'more than once a week' groups compared to the other groups (P < 0.001). The serum LDL-C concentration and AI score were the lowest in the 'more than once a week' group (P < 0.001). Conclusions: As the quantity and frequency of drinking increased, the serum TC concentration increased. Moreover, an increase in the serum HDL-C concentration led to a decrease in AI. The factors exacerbating cardiovascular disease increased simultaneously due to drinking. Our results suggest that for individuals with hypertriglyceridemia and patients with low HDL-cholesterolemia, separate guidelines based on the quantity and frequency of alcohol consumption are warranted.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.217-225
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• 2020

This study was a secondary analysis research using data from the Seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-2), 2017 to identify the relationships between obesity and physical activities and prevalence of osteoarthritis in menopause women. The subjects were 1,516 menopause women aged over 19 years who participated in the KNHANES VII-2, 2017. Data were downloaded from the KNHANES website and analysed through complex sampling design data analysis using IBM SPSS 21.0 program. Prevalence of osteoarthritis is 1.88 times higher in women with body mass index (BMI) above pre-obesity and non-abdominal obesity and 1.98 times higher in women with BMI above pre-obesity and abdominal obesity than in women with BMI normal or low weight and non-abdominal obesity. These results indicate that obesity prevention and management should be provided to prevention of osteoarthritis for menopause women and obesity should be considered body mass index and abdominal obesity.

• Journal of Industrial Convergence
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• v.18 no.5
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• pp.62-69
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• 2020

The purpose of this study was to investigate the relationship between serum vitamin E levels and the risk of allergic rhinitis among Koreans. This study is a secondary data analysis using big data from the seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-3), which was conducted in 2018. Complex-sample descriptive statistics, t-test, ANOVA and odds ratio were used for data analysis in SPSS 25. The average serum vitamin E level among Koreans aged above 10 was 12.60 mg/L, and 15.9% had been diagnosed with of allergic rhinitis by a doctor. Lower serum vitamin E levels were significantly associated with the prevalence of allergic rhinitis (β=-0.05, p=.013). Therefore, efforts to prevent and manage allergic rhinitis among Koreans should incorporate regular monitoring of vitamin E level and ongoing research into antioxidants.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.535-543
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• 2021

The aim of this study was to evaluate the correlation between senile eye diseases such as age-related macular degeneration (AMD), glaucoma and oral health behaviors. Data from the Seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-2) were used to analyze oral health behaviors according to the presence of AMD and glaucoma. Demographics and oral behaviors were analyzed using the complex chi-square test and complex logistic regression to compare participants with AMD and glaucoma with those without AMD and glaucoma. According to the presence or absence of AMD and glaucoma, there were statistically significant differences in age, education level, oral care product use, and difficulty in speaking variables. The results of this study provide evidence of a significant association in some variables between oral behaviors and senile eye diseases.

• Journal of Korean Biological Nursing Science
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• v.20 no.2
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• pp.103-113
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• 2018

Purpose: This study was performed to assess problems associated with sleep (short and long sleep duration) and to identify risky subgroups with sleep problems among adult cancer survivors. The study is based on the Korea National Health and Nutrition Examination Survey (KNHANES VI and VII) from 2013 to 2016. Methods: The sociodemographic and clinical data of 504 Korean cancer survivors aged 20-64 years was extracted from the KNHANES VI and VII database. Descriptive statistics for complex samples was used, and decision-tree analyses were performed using the SPSS WIN 24.0 program. Results: The mean age for survivors was approximately 51 years. The mean sleep duration was 6.97 hours; 36.2% of participants had short (< 7 hours) and 9.9% had long (> 8 hours) sleep duration. From the decision-trees analyses, the characteristics of the adult cancer survivors related to sleep problems were presented with six different pathways. Sleep problems were analyzed according to the survivors' sociodemographic information (age, education, living status, and occupation), clinical characteristics (body mass index, hypercholesterolemia, and anemia) and health-related quality of life (HRQoL). The HRQoL (${\leq}0.5$ or > 0.5 cutoff point) was a significant predictor of the participants' sleep problems because all six pathways were started from this predictor in the model. Conclusion: Health care professionals could use the decision-tree model for screening adult cancer survivors with sleep problems in clinical or community settings. Nursing interventions considering these specific individual characteristics and HRQoL level should be developed to have adequate sleep duration for Korean adult cancer survivors.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.151-162
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• 2020

This study was to find out the influence of smoking behavior in Korean adults on chronic diseases using data from the seventh Korea national health and nutrition examination survey(KNHANES VII-2) 2017. The subjects were 6,193. The data were analyzed by frequency analysis, x² test and logistic regression analysis using SPSS 25 complex samples Win program. The main findings were that smoking age and smoking behavior were considered as early as the age of smoking, and in case of smoking in the past, the prevalence of chronic disease increased 1.30 times and 2.75 times, respectively. When the subjects' health behaviors and demographic characteristics were simultaneously corrected, the higher the age was, the more they were 0.25 times higher and 0.34 times higher than the graduate level of education. As a result, it is necessary to improve lifestyles such as obesity and lack of exercise, to reduce the prevalence of chronic disease in Korean adults, and to pay attention to younger age groups. There is a need to develop interdisciplinary convergent approaches with great interest.

• Journal of Korean Biological Nursing Science
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• v.21 no.1
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• pp.85-97
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• 2019

Purpose: This study was performed to analyze the levels of blood pressure and to identify good or poor blood pressure control (BPC) groups among hypertension patients. The study was based on the Korea National Health and Nutrition Examination Survey (KNHANES VI and VII) conducted from 2013 to 2016. Methods: The sociodemographic and clinical data of 4,151 Korean hypertension patients aged 20-79 years and who were taking antihypertensive medications was extracted from the KNHANES VI and VII database. Descriptive statistics for complex samples and a decision-tree analysis were performed using the SPSS WIN 24.0 program. Results: The mean age was $62.46{\pm}0.21years$. The mean systolic blood pressure (SBP) was $128.07{\pm}0.28mmHg$, and the diastolic blood pressure (DBP) was $76.99{\pm}0.21mmHg$. 71.9% of participants showed normal blood pressure (SBP < 140mmHg and DBP < 90mmHg). From the decisiontrees analysis, the characteristics of participants related to good BPC group were presented with 9 different pathways same as those from the poor BPC group. Good or poor BPC groups were classified according to the patients' characteristics such as age, living status, occupation, education, hypertension diagnosis period, numbers of comorbidity, perceived health status, total cholesterol, high density lipoprotein-cholesterol, alcohol drinking per month, and depressive mood. Total cholesterol level (< 201mg/dL or ${\geq}201mg/dL$ cutoff point) was the most significant predictor of the participants' BPC group. Conclusion: This decision-tree model with the 18 different pathways can form a basis for the screening of hypertension patients with good or poor BPC in either clinical or community settings.

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

• Korean Journal of Clinical Laboratory Science
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• v.53 no.4
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• pp.342-352
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• 2021

We used data from the 7th Korea National Health and Nutrition Examination Survey (KNHANES) (2016~2018) to investigate an association between high sensitivity C-reactive protein (hsCRP) and uric acid in the obese. Obesity was defined as a body mass index (BMI) of 25 kg/m² or more, severe obesity as a BMI of 30 kg/m² or more, and morbid obesity as a BMI of 35 kg/m² or more. In the complex samples multiple logistic regression, despite adjustment by adding major risk factors, the odds ratio (OR) for obesity was higher in the group with high levels of both, hsCRP and uric acid than the reference group at all stages (obesity, OR 1.89, P<0.001 vs. severe obesity, OR 5.04, P<0.001 vs. morbid obesity, OR 8.20, P<0.001). The association between hsCRP and uric acid in obese patients increased from 1.89 to 8.20 as the obesity level increased, suggesting that participants with increased BMI were significantly affected by hsCRP and uric acid. Moreover, the interaction between hsCRP and uric acid was statistically significant even in the model corrected for major confounding factors (P for interaction=0.009).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.440-448
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• 2020

This study was conducted to identify the factors affecting breastfeeding in adult women based on socio-demographic and health-related characteristics using the results of KNHANES VII-3. The data was analyzed by applying weights, using the complex sample analysis method of the SPSS Win 22.0 program. Breastfeeding was influenced significantly by age, education level, and the current smoking status. Women in the age group of 30-39 years had a breastfeeding rate that was 3.06 times higher than 19-29 year old women. Also, the breastfeeding rates for women with an education level under elementary school were 4.70 times higher than those with a college degree or higher education level and non-smokers and ex-smokers had levels 2.51 times higher than smokers. Therefore, for mothers under the age of 30, education on breastfeeding should be further strengthened. For mothers over 40 years old, lactation support to increase the milk supply should be provided as well as assistance toward care for other children in the family. Also, better-educated mothers will need to learn effective breastfeeding methods in limited environments such as work-life, and a social atmosphere needs to be established that is considerate to lactating women. Furthermore, education related to pregnancy and lactation should be provided for use in smoking cessation programs for female smokers.