• Journal of Nutrition and Health
• /
• v.56 no.5
• /
• pp.496-509
• /
• 2023

Purpose: This study aimed to identify the general characteristics, chronic diseases, health behavior, mental health, and nutritional status of young-old women based on their vitality. Methods: This study used data from the 2019 and 2021 Korea National Health and Nutrition Examination Survey (KNHANES). The subjects were 1,113 young-old women aged 65 to 74 years old. The health-related quality of life concept with an 8-item questionnaire was used to measure the quality of life. Subjects were categorized into 4 groups (always, often, sometimes, never) based on their vitality. General characteristics, chronic diseases, health behavior, dietary behavior, food intake, and nutrient intake were compared among the groups. Results: Age, education level, household income, employment, fruit intake, dietary supplements, abundance of food, and nutrition labeling recognition were associated with the vitality of the subjects. Young-old women with arthritis, diabetes, and osteoporosis displayed lower vitality. Moreover, subjective health status, exercise, activity restrictions, and average daily sitting hours were related to vitality, while no significant difference was found in vitality between smoking and drinking. In terms of mental health factors, higher vitality was associated with 6-8 hours of sleep, lower stress levels, and reduced depression. The high-vitality group exhibited a higher intake of potatoes, starch, mushrooms, fruits, meat, milk, animal oils, and beverages than the low-vitality group. Additionally, the group with higher levels of vitality showed a higher intake of protein, fat, saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, n-6 fatty acids, dietary fiber, sugars, phosphorous, potassium, magnesium, iron, zinc, and riboflavin. Conclusion: This study suggests that the vitality of young-old women is related to socioeconomic factors, health behavior, mental health, and food intake. To maintain a vibrant lifestyle in elderly women, it is necessary to have social and economic stability, prevent arthritis, diabetes, and osteoporosis, exercise regularly, get sufficient sleep, maintain mental health, and have a balanced diet.

• Journal of Intelligence and Information Systems
• /
• v.24 no.2
• /
• pp.111-124
• /
• 2018

This study aims to develop a classification model for predicting the occurrence of hyperlipidemia, one of the chronic diseases. Prior studies applying data mining techniques for predicting disease can be classified into a model design study for predicting cardiovascular disease and a study comparing disease prediction research results. In the case of foreign literatures, studies predicting cardiovascular disease were predominant in predicting disease using data mining techniques. Although domestic studies were not much different from those of foreign countries, studies focusing on hypertension and diabetes were mainly conducted. Since hypertension and diabetes as well as chronic diseases, hyperlipidemia, are also of high importance, this study selected hyperlipidemia as the disease to be analyzed. We also developed a model for predicting hyperlipidemia using SVM and meta learning algorithms, which are already known to have excellent predictive power. In order to achieve the purpose of this study, we used data set from Korea Health Panel 2012. The Korean Health Panel produces basic data on the level of health expenditure, health level and health behavior, and has conducted an annual survey since 2008. In this study, 1,088 patients with hyperlipidemia were randomly selected from the hospitalized, outpatient, emergency, and chronic disease data of the Korean Health Panel in 2012, and 1,088 nonpatients were also randomly extracted. A total of 2,176 people were selected for the study. Three methods were used to select input variables for predicting hyperlipidemia. First, stepwise method was performed using logistic regression. Among the 17 variables, the categorical variables(except for length of smoking) are expressed as dummy variables, which are assumed to be separate variables on the basis of the reference group, and these variables were analyzed. Six variables (age, BMI, education level, marital status, smoking status, gender) excluding income level and smoking period were selected based on significance level 0.1. Second, C4.5 as a decision tree algorithm is used. The significant input variables were age, smoking status, and education level. Finally, C4.5 as a decision tree algorithm is used. In SVM, the input variables selected by genetic algorithms consisted of 6 variables such as age, marital status, education level, economic activity, smoking period, and physical activity status, and the input variables selected by genetic algorithms in artificial neural network consist of 3 variables such as age, marital status, and education level. Based on the selected parameters, we compared SVM, meta learning algorithm and other prediction models for hyperlipidemia patients, and compared the classification performances using TP rate and precision. The main results of the analysis are as follows. First, the accuracy of the SVM was 88.4% and the accuracy of the artificial neural network was 86.7%. Second, the accuracy of classification models using the selected input variables through stepwise method was slightly higher than that of classification models using the whole variables. Third, the precision of artificial neural network was higher than that of SVM when only three variables as input variables were selected by decision trees. As a result of classification models based on the input variables selected through the genetic algorithm, classification accuracy of SVM was 88.5% and that of artificial neural network was 87.9%. Finally, this study indicated that stacking as the meta learning algorithm proposed in this study, has the best performance when it uses the predicted outputs of SVM and MLP as input variables of SVM, which is a meta classifier. The purpose of this study was to predict hyperlipidemia, one of the representative chronic diseases. To do this, we used SVM and meta-learning algorithms, which is known to have high accuracy. As a result, the accuracy of classification of hyperlipidemia in the stacking as a meta learner was higher than other meta-learning algorithms. However, the predictive performance of the meta-learning algorithm proposed in this study is the same as that of SVM with the best performance (88.6%) among the single models. The limitations of this study are as follows. First, various variable selection methods were tried, but most variables used in the study were categorical dummy variables. In the case with a large number of categorical variables, the results may be different if continuous variables are used because the model can be better suited to categorical variables such as decision trees than general models such as neural networks. Despite these limitations, this study has significance in predicting hyperlipidemia with hybrid models such as met learning algorithms which have not been studied previously. It can be said that the result of improving the model accuracy by applying various variable selection techniques is meaningful. In addition, it is expected that our proposed model will be effective for the prevention and management of hyperlipidemia.

• Journal of dental hygiene science
• /
• v.17 no.1
• /
• pp.38-45
• /
• 2017

We evaluated the association between sleep duration, dental caries, and periodontitis by using representative nationwide data. We examined 8,356 subjects aged ${\geq}19$ years who participated in the sixth Korea National Health and Nutrition Examination Survey (2013~2014). Sleep duration were grouped into ${\leq}5$, 6, 7, 8, and ${\geq}9$ hours. Presence of dental caries was defined as caries in ${\geq}1$ permanent tooth on dental examination. Periodontal status was assessed by using the community periodontal index (CPI), and a CPI code of ${\geq}3$ was defined as periodontitis. A chi-square test and multiple logistic regression analysis were used to determine statistical significance. Model 1 was adjusted for age and sex, model 2 for household income, educational level, and marital status plus model 1, and model 3 for smoking status, alcohol consumption, blood pressure level, fasting blood glucose level, total cholesterol level, and body mass index plus model 2. The prevalence of dental caries according to sleep duration showed a U-shaped curve of 33.4%, 29.4%, 28.4%, 29.4%, and 31.8% with ${\leq}5$, 6, 7, 8, and ${\geq}9$ hours of sleep, respectively. In the fully adjusted model 3, the risk of developing dental caries was significantly higher with ${\leq}5$ than with 7 hours of sleep (odds ratio, 1.23; 95% confidence interval, 1.06~1.43). The prevalence of periodontitis according to sleep duration showed a U-shaped curve of 34.4%, 28.6%, 28.1%, 31.3%, and 32.5%, respectively. The risk of periodontitis was significantly higher with ${\geq}9$ than with 7 hours of sleep in models 1 and 2, whereas the significant association disappeared in model 3. In a nationally representative sample, sleep duration was significantly associated with dental caries formation and weakly associated with periodontitis. Adequate sleep is required to prevent oral diseases such as dental caries and periodontitis.

• Journal of agricultural medicine and community health
• /
• v.35 no.3
• /
• pp.287-300
• /
• 2010

Objectives: We identified factors associated with any participation and with "good participation" (as assessed by frequency of attendance) in health promotion programs at a public health center in Korea. Methods: The subjects included 199 women who attended a baseline examination of health promotion programs during the first half of 2009. We collected data by structured interviews and physical examinations. Participation status was quantified by the frequency of attendance to the program. We classified the subjects as non-participants (0) and participants (1+ times), and as poor participants (0-29 times) and good participants (30+ times). Results: Of the 199 subjects, there were 57 (28.6%) non-participants, while 56 (28.1%) were classified as good participants. The factors that significantly affected participation status, as identified by univariate analysis, were personal factors (age, educational level, marital status, religion, living with someone, monthly income), environmental factors (method of access, accessibility of other facilities), body mass index, hypertension, perceived barriers to health, emotional salience, affectionate domain of social support, and depression. Multiple logistic regression analyses indicated that method of access was the most significant factor affecting participation in the health promotion program, and that the factors most highly associated with good participation were emotional salience, hypertension and body mass index. Conclusions: Our findings suggest that specific factors determine and enhance participation in health promotion programs offered by public health centers. These factors should be considered during the design and evaluation of health promotion programs that are offered by public health centers.

• Journal of Nutrition and Health
• /
• v.51 no.3
• /
• pp.242-253
• /
• 2018

Purpose: The purpose of the study was to identify the nutrition knowledge, dietary attitudes of guardians, and nutritional status of infants and toddlers as well as the relationships between these variables. Methods: The participants were selected among applicants for low-income family financing provided by the government and included 115 infants and toddlers as well as their guardians. Demographic data, nutrition knowledge, dietary attitudes, and nutrition intakes were assessed using a self-administered questionnaire, biochemical examination, and 24 Hour-Recall method. Results: The score for guardians' nutrition knowledge was 12.97 points of a possible 15, and the score for dietary attitudes was 53.38 points of a possible 75. The nutrition knowledge and dietary attitudes showed significant differences by education level (p < 0.05) and family structure (p < 0.05). Energy intakes of subjects aged 6 ~ 24 months and over 25 months were lower than the DRI for Koreans. The intakes of carbohydrates, protein, and fat of subjects aged 6 ~ 24 months and over 25 months showed no significant differences by level of nutrition knowledge or dietary attitudes. The intake of Ca of subjects aged over 12 months showed significant differences by level of nutrition knowledge (p < 0.05). The intakes of Thiamin of subjects aged 6 ~ 11 months and P of subjects aged over 12 months showed significant differences by level of dietary attitudes (p < 0.05). There was a small positive correlation between education level and nutrition knowledge as well as between dietary attitudes. Nutrition knowledge showed a positive correlation with dietary attitudes. There was a positive correlation between nutrition knowledge and Ca, Riboflavin, as well as Vit C levels. Conclusion: Therefore, it is necessary to consider an educational program for increasing the practical application of knowledge to nutrition management for improvement of nutrition intake in infants and toddlers.

• Journal of agricultural medicine and community health
• /
• v.24 no.2
• /
• pp.315-329
• /
• 1999

Recently, dissatisfaction with aspects of health care has been complemented by directly at complaints such as informal, formal and litigation. But some people take action and other not in spite of feeling of dissatisfaction. This study was to investigate an accounts of patient's disagreement with doctor's care from a community sample, and make a distinction between felt disagreement and disagreement actions. This study was done in six hundred forty residents in Sungjoo County of Kyungbuk Province and Nonman city of Chungnam Province. The questionnaires of interview included sociodemographic data, health status data, a nature of patient's disagreement with doctor and actions taken following or during the disagreement episode. Approximately sixteen percent of sample reported a disagreement, and nine percent reported action taken following or during the disagreement episode. Age, educational attainment, income and area were significantly related with experience of disagreement episode in univariate analysis. In people who experienced the disagreement episode, nearly forty-one percent reported on disagreement about the diagnosis related, twenty-eight percent reported doctor-patients relationship related, twenty percent reported treatment related, and eleven percent reported prescription drug related. In people who experienced actions taken following or during the disagreement episode, nearly fifty-four percent acted as 'sought a second opinion or visit other doctor', thirty-six percent acted as 'verbally challenged the doctor', thirty-two percent acted as 'stopped prescribed treatment or medication', twenty-nine percent acted as 'made repeat visits to the same doctor', twenty-five percent acted as 'eventually left and changed doctor'. Results of multivariate analysis, age, marital status, have or haven't chronic disease, and general satisfaction with health service were significantly related with experience of disagreement episode and marital status was significantly related with experience of actions taken following or during the disagreement episode. This study is experimental and exploratory trial about a relationship between patient's disagreement with doctor and actions taken following or during the disagreement episode in some community of Korea. We find that patient's disagreement with doctor and actions taken following or during the disagreement episode is latent in our community. We suggest that the relationship between felt disagreement and disagreement action is more complicated and worthy of further study.

• Journal of dental hygiene science
• /
• v.15 no.1
• /
• pp.60-66
• /
• 2015

The purpose of this study was to examine the relationship of predisposing, enabling, need factors and oral health care factors to the dental utilization in 4,521 senior citizens based on the 5th National Health and Nutrition Examination Survey data. As for the relationship of predisposing, enabling and need factors to the necessity of denture, higher academic credential and higher income level that were respectively one of predisposing and need factors led to a higher necessity of denture, and the relationship of these factors was statistically significant. As to influential factors for their dental utilization in Model 1, there were significant differences according to gender, marital status and whether to subscribe to private health insurance or not. In Model 2, the need factors of Model 1 were adjusted. As a result, the respondents who didn't receive any unsatisfactory dental treatment made 1.35-fold more dental utilization, and the respondents who complained about mastication difficulty made 1.34-fold more dental utilization. There were significant differences according to gender, age, marital status, academic credential, whether to subscribe to private health insurance, unsatisfactory dental treatment experience and mastication difficulty. Age, unsatisfactory dental treatment experience and whether to complain about mastication difficulty or not made statistically significant differences to the dental utilization in Model 3 that involved oral health status. The above-mentioned findings illustrated that the predisposing factors, the enabling factors and the need factors exerted an influence on the elderly dental utilization. As there are a variety of factors to affect elderly dental utilization, its required to make an effort to boost the accessibility of the elderly to dental service in order to improve their oral health of the elderly.

• Journal of Nutrition and Health
• /
• v.45 no.5
• /
• pp.479-488
• /
• 2012

This study aims to investigate the nutritional status of night eaters using the data from 2005 Korean National Health and Nutrition Examination Survey. A total of 3,903 subjects aged 20 and above were divided into 3 groups by using 24-hr recall data according to the night snack calorie intake: non-night snack, night snack less than 500 kcal and 500 kcal and more. Their data were analyzed to find out the difference on the socio-demographic, anthropometric, blood pressure, blood parameters and dietary characteristics. Among the subjects, non-night eaters were 66.0%, night eaters of less than 500 kcal were 28.4% and 500 kcal and above were 5.6%. Male adults, young-aged, higher educated, higher income earner, breakfast skipper and frequent dine-outer (3 times and more a day) were found more in the night eaters with 500 kcal and above. Night eaters above 500 kcal showed higher waist circumference, Glu-FBS, Glu-PP120 and also showed higher daily intake of fat and alcohol per 1,000 kcal and food groups of meat & eggs, beverages and alcohol drinks (p < 0.05), while they showed the lowest carbohydrate energy ratio of $58.3{\pm}13.7$ among the three groups. These results suggest that habitual night snack intake above 500 kcal could lead to abdominal obesity and diabetes due to higher intake of meat, fat and alcohol.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.8
• /
• pp.47-55
• /
• 2019

This study was conducted to investigate the factors associated with electronic cigarette use by Korean adults. To accomplish this, data collected from 228,477 individuals during a community health survey conducted by the Korean Centers for Disease Control and Prevention in 2015 were analyzed by descriptive analysis, the Chi-squared test, and logistic regression analysis. The lifetime prevalence of electronic cigarette smoking was 11.1% for men and 0.8% for women. The current prevalence for electronic cigarettes smoking was 24.2% for men and 26.1% for women among lifetime users of electronic cigarettes. The lifetime experience rate of electronic cigarette smoking was significantly associated with age, educational attainment, occupation, income status and current smoking status, respectively. The current universal smoking e-cigarette is significantly related to the current smoking status, which shows a significantly higher number of current smokers than groups that have smoked in the past. The preference for electronic cigarette smoking was high. E-cigarettes were perceived by those who aimed to quit smoking as having a smoking cessation effect compared to regular cigarettes while also providing the pleasure of smoking and addressing the addiction. Therefore, e-cigarettes were highly favored because they were reflected as a solution to the dilemma of smoking. In 2014, electronic cigarette imports tripled from the previous year, and interest in electronic cigarettes is increasing worldwide. Accordingly, measures related to the prevention and discontinuation of e-cigarettes should be considered. Strengthening anti-smoking education and active promotion of anti-smoking risks is needed to improve smokers' wrong perception of smoking-related health. The WHO also reports that there is a lack of grounds to ensure or acknowledge that e-cigarettes are effective. Accordingly, it is important to identify environmental factors influencing the use of electronic cigarettes and explore the relationship between electronic cigarette recognition and use.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.4
• /
• pp.381-392
• /
• 2020

This study identified the impact of environmental factors and job satisfaction of health organization workers on a reduction rate depending on their lifestyles. The research used 575 questionnaires as final assay data, which were obtained by health care workers who work for hospitals or higher-level hospitals, which are located in Jeolla-do through direct survey method. The results are as follows. First, with the result, which is an analysis of differences in environmental factors, job satisfaction, and reduction rates (inpatient/outpatient), there was a significant difference in the environmental factors of medical institutions based on the age, marital status, job position, and the years of employment, and there was also a significant difference in job satisfaction based on the age, academic career, marital status, occupational description, and monthly income. In an inpatient reduction rate, a significant difference was shown in the age, academic career, and occupational description. In an outpatient reduction rate, a significant difference was shown in the age, marital status, job position, and the years of employment. Second, with the results of correlation analysis, which are determinations of a relationship between environmental factors, job satisfaction, and reduction rate, it was figured out that there is a negative correlation between inpatient reduction rate and job satisfaction, a negative correlation between inpatient reduction rate and the environmental factors, and also a negative correlation between outpatient reduction rate and job satisfaction. There is a significant positive correlation between the outpatient reduction rate and environmental factors, and between job satisfaction and environmental factors. Third, with the results of the impacts that the environmental factors and job satisfaction have on the reduction rate, there was a negative influence of the environmental factors on the inpatient reduction rate, and also a negative influence of job satisfaction on the inpatient reduction rate. There was a significant positive influence of the environmental factors on the outpatient reduction rate, but there was no negative influence of job satisfaction on the outpatient reduction rate.