• Journal of dental hygiene science
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• v.9 no.2
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• pp.181-187
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• 2009

Oral diseases may hinder people from living a healthy life by causing obstacles in the nutrition supply of the human body. This study aims at the found out the eating habits and recognition factors of people who are currently suffering from denial pain, and made a predictive modeling using neural network, which is a data mining. The oral health condition for maintaining and improving oral health has been examined and analyzed through a survey and the groups were divided based on the presence and the absence of dental pain. This study observed on eating habits, exercise and oral habits. The study results of neural network modeling input parameter was selected significant survival factors. As a result of making a predictive modeling using the neural network, the fitness of the predictive modeling of dental pain factors was 88.7%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.

• Journal of health informatics and statistics
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• v.43 no.4
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• pp.344-351
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• 2018

Objectives: The purpose of this study is to investigate the impact of health behaviors of male workers without diabetes such as smoking, drinking and physical activities on HbA1c using 2015 and 2016 data from Korea National Health and Nutrition Examination Survey (KNHANES). Methods: The final study subjects of KNHANES were a total of 1,703 male workers in their 30s-50s who had normal levels of fasting blood sugar level, HbA1c, and hemoglobin. For the study variables, age, household income, educational level and occupation were included as socio-demographic characteristics; smoking behavior, drinking behavior, and physical activity behavior as characteristics of health behavior; and waist circumference, body mass index, systolic and diastolic blood pressures, total cholesterol, triglyceride and HDL cholesterol as medical examination characteristics were included. The analysis was conducted using independent variables t-test, one-way ANOVA, Pearson's correlation analysis and multiple regression analysis. Results: Socio-demographic factors that affect HbA1c were age, educational level, and occupation. As for HbA1c according to the status of current smoking, it was higher in order of the present, past and nonsmoking and HbA1c according to smoking amount pack-year increased linearly in between less than 1 pack-year and over 30 pack-year (p<0.001). Muscular exercises affected the reduction of HbA1c (p<0.05). In the multiple regression analysis with independent variables of the socio-demographic characteristics and health behavior, factors affecting HbA1c were age, occupation and smoking amount pack-year (p<0.05). In the multiple regression analysis where the characteristics of physical examination were added, factors affecting HbA1c were age, occupation, smoking amount pack-year, waist circumference and total cholesterol (p<0.001). Conclusions: As a result, the health behavior that had the most effect on HbA1c management for male workers without diabetes was the total lifetime smoking amount. Therefore, it is essential to prevent smoking as well as control, cholesterol to prevent diabetes for male workers.

• 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.

• Journal of the Health Care and Life Science
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• v.8 no.2
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• pp.155-163
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• 2020

The purpose of this study is to examine the current status of the Injury based on the 7th National Data on the National Health and Nutrition Survey, identify the relationship between general characteristics, safety awareness, health status, injury, and identify the factors that affect the occurrence of injury. The subjects were selected for the final analysis of 1,608data. For the analysis, frequency analysis, cross analysis, and multiple logistic regression analysis were performed. the results of the study show that in the young-old elderly, gender(woman), marital status(separated of divorced), lower the awareness of safety, body discomfort, sickness, and in-outpatient, Annual unmet medical service experienced are higher the occurrence of injury. Therefore, as a prevention education that lowers the incidence of injury. selective education is required for the Young-old and Old-old elderly, and legal penalties for drunk driving on various means of transportation and an integrated approach to strengthening and education is required.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.54-67
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• 2021

This study is a secondary data study that analyzes the factors affecting the quality of life of the elderly with metabolic syndrome and the elderly with metabolic syndrome with osteoporosis using data from the 7th year of the National Health and Nutrition Survey (2018). The subjects of this study were 639 patients with metabolic syndrome and 161 patients with metabolic syndrome with osteoporosis. For data analysis, the composite sample Rao-Scott χ2 test, general linear model t-test, and regression model were used. As a result of the study, the factors that lowered the quality of life of metabolic syndrome were age, cohabitation, strength training, subjective health status, activity restriction, body mass index and depression, and the explanatory power was 50.4% (F=515.96, p<.001). In metabolic syndrome with osteoporosis, age, subjective health status, activity restriction, and stress were the factors that lowered the quality of life, and the explanatory power was 48.6% (F=10.42, p<.001). Based on these results, it is necessary to develop and provide an intensive multidisciplinary program for the elderly with metabolic syndrome accompanied by osteoporosis to solve the problem of activity restrictions and manage stress reduction through positive acceptance of health status, instrumental and social support, and caring support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.826-835
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• 2020

The purpose of this study was to examine the mediating effect of stress on the relationship between oral health behaviors and health-related quality of life (HRQOL) in the elderly. We analyzed 8148 subjects aged 65 or older who participated in the Korea National Health and Nutrition Examination Survey (2010-2015). All individuals were asked about their socioeconomic history, general health, and oral health behaviors (the frequency of tooth brushing, regular dental check-ups, and use of interdental cleaners). In the results, HRQOL was low in the elderly from a low socioeconomic class, or with diabetes mellitus, hypertension, or poor oral health behaviors. A partial mediating effect from stress was confirmed on the relationship between oral health behaviors and HRQOL. In conclusion, HRQOL was associated with oral health behaviors, with a mediating effect from stress. Therefore, it is necessary that a convergence health promotion program should be planned with an oral health education program and a stress management program for the elderly.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.197-207
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• 2021

Relationship between bone mineral density (BMD) and type 2 diabetes is still inconsistent. Recently, many epidemiologic data show that fracture risk is increased in type 2 diabetic patients regardless of BMD status. In this study, we used nation-wide data from 2008 to 2011 Korea National Health and Nutrition Examination Survey (KNHANES) to analyze the BMD status in patients with type 2 diabetes compared to non-diabetics. We included subjects aged 50 years or older in men (N=2,959, 2,430 without diabetes, 529 with type 2 diabetes) and postmenopausal women (N=2,902, 2,479 without diabetes, 423 with type 2 diabetes). Subjects with history of medication for osteoporosis or with illness or malignancy affecting bone metabolism were excluded. Data of anthropometric measurements and demographic characteristics were collected by trained examiner. Serum was separated from peripheral venous blood samples obtained after 8 hours of fasting. BMD was measured at lumbar spine and femur using dual-energy X-ray absorptiometry (DXA). There was a significant positive association between lumbar spine BMD and type 2 diabetes after adjusting age, gender, body mass index, monthly house income, education level, physical activity, daily calcium intake and vitamin D concentration by multiple regression analysis in all subjects. In the subgroup analysis by gender, this association was maintained both in male and female after adjusting those confounding factors. However, femur BMD was not different between type 2 diabetic and non-diabetic subjects. In conclusion, lumbar spine BMD was significantly higher in type 2 diabetic patients aged 50 years or more in men and postmenopausal women compared to non-diabetic subjects.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.209-220
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• 2021

The effect of body composition such as lean mass and fat mass on bone mineral density (BMD) is complex and still controversial. In this study, we investigated the relationship between body composition and bone mineral density using nation-wide data from 2008 to 2011 Korea National Health and Nutrition Examination Survey (KNHANES) in 2,139 men and 2,193 postmenopausal women aged 50 years or older. Subjects with history of medication for osteoporosis or with diseases or malignancy affecting bone metabolism were excluded. Data of anthropometric measurements and demographic characteristics were collected by trained examiner. Fasting blood sample was obtained for blood chemistry analysis. BMD of the lumbar spine, total femur, and femoral neck, and body composition such as total lean mass (TLM), total fat mass (TFM), truncal fat mass (TrFM) were measured using dual-energy X-ray absorptiometry (DXA). There were significant positive correlations between body composition indices such as lean mass and fat mass with BMD. In multiple regression analysis, TLM was positively associated with BMD after adjusting age, body mass index, monthly house income, education level, physical activity, daily calcium intake and vitamin D concentration in both men and postmenopausal women. BMD at lumbar spine and femur in lowest quartile of TLM was significantly lower than other quartiles after adjusting those confounding factors in both gender. TrFM was negatively associated with total femur BMD in male and femur neck BMD in postmenopausal women after adjusting confounding factors. In conclusion, TLM is very important factor in maintaining BMD in subjects aged 50 years or older in men and postmenopausal women.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.51-59
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• 2021

This study was undertaken to identify factors that influence high-risk drinking among women. Seventh National Health and Nutrition Survey data were used, and 3,453 women aged 19 or older were studied. Subjects were divided into general and high-risk drinking groups according to high-risk drinking rate indicators, and these groups were compared to identify demographic and sociological characteristics, differences in health-related characteristics, and factors associated with high-risk drinking. The data analysis was performed using IBM SPSS 25.0. The analysis showed 8.8% of the cohort were high-risk drinkers, and that rates of high-risk drinking were higher among women in their 20s to 30s, smokers, and those with experience of depression. In particular, smoking, and depression were associated with a 4.5 [(95% confidence interval (CI)=2.804-7.372, p<0.001)] and 7.0-fold [(95% CI=2.918-16.855, p<0.001)] increases in rates of high-risk drinking. In addition, the risk of high-risk drinking was high among 15- to 19-year-olds, which indicates an urgent need to develop and implement drinking education programs for women in adolescence and early adulthood. We expect the results of this study to be used to create health policies and health promotion programs aimed at reducing the high-risk drinking rate among women.

• Therapeutic Science for Rehabilitation
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• v.11 no.3
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• pp.65-80
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• 2022

Objective : This study examined the psychometric properties of the 12-item Coping Orientation to Problems Experienced Scale (COPE) using Rasch analysis. COPE is one of the instruments used to measure stress-coping skills. Methods : The study participants were 480 community-dwelling older adults. We tested the instrument's unidimensionality assumption using principal component analysis (PCA). Item fit was examined using infit-and-outfit mean-square (MnSq) and standardized fit statistics (ZSTD). The precision and item difficulty hierarchies of the instrument were examined. The item-difficulty hierarchy was investigated to identify the easy and difficult items. We tested differential item functioning (DIF) for sex and age groups. Results : PCA revealed that the instrument met the unidimensionality assumption (eigenvalue = 1.78). Among the 12 items, item 2 was removed because of misfit (Infit MnSq = 1.33, Infit ZSTD = 5.05, Outfit MnSq = 1.56, Outfit ZSTD = 7.15). The remaining 11 items demonstrated a conceptual item-difficulty hierarchy. The person strata value was 3.10, which is equivalent to a reliability index value of 0.81. There was no DIF for the sex and age groups (DIF contrast <0.27). Conclusion : The findings indicated that the revised COPE-11 has adequate item-level psychometric properties and can accurately measure stress coping skills.