• Journal of agricultural medicine and community health
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• v.43 no.3
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• pp.180-190
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• 2018

Objectives: The purpose of this study is to investigate the influencing factor of the quality of life of the elderly with mild dementia in rural community. Methods: A total of 123 elderly who were managed by public health center participated. They were diagnosed as mild dementia by MMSE-DS and CDR. Data were collected during the period from May to September in 2017 by a structured questionnaire that included general characteristics, depression, dependence, comorbidity, sleep scale. Data were analyzed by t-test, ANOVA, Pearson's correlation analysis, and multiple regression analysis. Results: The quality of life was correlated significantly with depression. Depression was the factor affecting the quality of life of the elderly with mild dementia in rural community. Depression accounted for 54.0% as a variable of quality of life. Conclusion: This study was meaningful in that it directly measured the quality of life of the elderly with mild dementia is known to be difficult to measure and found meaningful results. it is necessary to identify the cause of depression and establish a linkage system between public health centers and health related organizations in the community. We suggest the need for individualized preventive intervention program and integrated psychological health service considering depression.

• Proceedings of the Ginseng society Conference
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• 1998.06a
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• pp.322-326
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• 1998

In order to evaluate menopausal syndrome objectively, examinations were performed as follows: 1) Simplified Menopausal Index (SMI Koyama) and QOL questionnaire (Nagata) were examined subjectively. 2) Urine 17-KS-5 (S Nishikaze), 17-OHCS (OH) were examined objectively. 3) A mobile telemedical device with EKG and KSG was lent to Patients. The subjects were 48 menopausal patients who visited our university hospital as outpatients. According to the results of 5, OH, the subjects were divided into 4 Groups; Group I is high S & high OH, Group ll low S & low OH, Group 111 is low S & high OH, Group tl is high S & low OH. Group IH was the largest (64.6%), Group of was none. The subjects showed significantly lower QOL condition and higher score of SMI. In the QOL, questionnaire items of fixation to physical status (psychogenic reaction), sleep (insomnia), pain(chronic pain) were in common. In SMI, functional vascular symptoms were the largest number. On treatment, Group I was considered to have no need for supplementary agents, but anti-Oketsu agents was prescribed. For Group ll and in some supplementary agents such as red ginseng were prescribed, because they showed low 5. In conclusion, all the groups showed a sign- nificant improvement of QOL and SMI. Group I showed a decrease of OH, Group ll showed an increase of 5, Group In showed an increase of S and SIOH and a decrease of OH. These phenomena were considered prohomeostatic. In QOL, the items of chronic pain, insomnia and appetite were improved. In SMI, chillness, dyspnea, palpitation, pain and fatigability were improved. In mobile tole-medical device, abnormal findings were found in 88.2% of patients. General sdaptation syndrome (Selye, H.) is considered to adjust human life. Menopause is the transit period to exhausted stage in it. So its symptoms vary from person to person. In conclusion, 5 and OH are useful both for classification of menopausal syndrome and for determining treatments according to the classification

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Journal of Family Resource Management and Policy Review
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• v.25 no.1
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• pp.91-112
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• 2021

This study aimed to explore the influence of family characteristics on the work-life balance of early adolescents. A series of data analyses was conducted on adolescents' use of time in daily life on the basis of 2018 Korean Children and Youth Panel Survey (KCYPS 2018). We found that the work-life balance of youth is related to their parents' health status, presence of older siblings, household income, parenting attitude, parent-child communication time, and mother's occupation. The work-life balance of the fifth graders is more likely to be influenced by family characteristics compared with that of the eighth graders. In particular, the fifth graders' sleep deprivation is affected by the mother's occupation, but there is no significant effect on the eighth graders' sleep deprivation. An important factor in skipping breakfast is household income, with adolescents from low-income families tending to skip breakfast more than five days a week. In addition, parents' health status and parenting attitude are significantly related to skipping of breakfast in early adolescents. Household income is related to the after-school private tutoring hours of both the fifth and eighth graders; however, parenting attitude and mother's occupation are also significant influencing factors of the fifth graders' after-school study. Mother's occupation is related to excessive cell phone use; specifically, the fifth graders whose mothers work white-collar jobs, sales and services or manufacturing are more likely to play with cell phones more than three hours a day than those whose mothers are full-time housewives. These results suggest that the work-life balance policies targeted at the family characteristics of adolescents can improve family environments in a manner that enhances adolescents' life balance, thus supporting the well-being of early adolescents and their families.

• Journal of agricultural medicine and community health
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• v.34 no.1
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• pp.13-23
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• 2009

Objective: The objective of this study was to evaluate the association of social support with health status and health behavior. Methods:　This study was conducted with 79 elderly people in Gunja-ri, Dongsan-myun, Chuncheon. We performed face to face interview which was composed of socio-demographic characteristics, social support, health status and health behavior. The association between social support and result variables was analysed by Chi-square test and logistic regression. We used SAS ver9.1 for statistic analysis. Results: Mean age of the study population was 72.0$\pm$7.0, social support score was 14.3$\pm$4.7 with full marks of 20 and 36.25% of the total population were shown to have depression. When the social support score was changed, depression (p=0.0007) and physical exercise (p=0.0312) showed significant difference. The self-rated health status was significantly related to the relationship with family members (OR=0.25, 95% CI=0.07-0.95) and the quality of sleep was also significantly associated to the relationship with family members (OR=0.21, 95% CI=0.06-0.73). The physical exercise was done significantly less in the group without close friends than in the group with many close friends (OR=0.21, 95% CI=0.05-0.94) and the depression was significantly more in the group without community participation than in the group with community participation (OR=4.79, 95% CI=1.62-14.15). Conclusions: Through this study, we could conclude that the social support factors are associated with health status and health behavior. Therefore, to improve the health status of rural elderly, we need to approach to develop social support.

• Korean Journal of Occupational Health Nursing
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• v.7 no.1
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• pp.5-19
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• 1998

This descriptive-correlational study was conducted to identify the major factors affecting health promoting behaviors. 344 workers who employed in four different manutacturing plants in Taegu and Kyungbuk area were selected by convenience sampling method. Data were collected from April let to April 18th, 1998 by ready structured questionaires. The purpose of this study was to offer the basic data for health promotion theory development and health promotion strategy planning. This study was based on Pender's Health Promotion Model and examined three variables health promoting behavior, self-concept and perceived importance of health. The Life Style and Health Habit Assessment scale(LHHA) developed by Pender(1982).The Self-concept scale developed by Choi(1972) and the Health Value scale developed by Wallston, Maides and Wallston(1980) were used for this study. Data was analyzed by percentage, mean. t-test. ANOVA, Pearson Correlation Coefficient, and Stepwise Multiple Regression. The major findings of this study are as follows ; 1. The average level of health promoting behavior practice was 63.2% and possible range was from 62 to 248 point. The mean score of respondent's positive self-concept was 75.8. 81.4% of respondents put a high priority on the importance of health. 2. There was a significant difference between the practice level in the category of general self care and less amount of working hours per day(P=0.000), less amount of working hours per week(P=0.000). There was a significant difference between the practice level in the category of nutrition and age(0.002), marital status(0.000), working hour per day(0.008), working hours per week(0.001), There was a significant difference between the practice level in the category of nutriton and sex(0.000), age(0.000), marital status(0.025), education level(0.000), working hours per day(0.002), working hours per week(0.006). There was a significant difference between the practice level in the category of sleep and rest and age(0.003), marital status(0.002), working hours per day(0.001), working hours per week(0.001). There was a significant difference between the practice level in the category of stress management and working hours per day(0.001), working hours per week(0.002). There was a significant difference between the practice level in the category of self-actualization and working hours per day(0.050). 3. General characteristics influencing the respodent's self-concept were level(P=0.009) and worksite(P=0.001). 4. The results of the hypothesis tests are as follows The first hypothesis, that "The respondent who have more positive self-concept will have higher scores in the practice of health promoting behavior." was supported(r=0.2973, P=0.0001). The second hypothesis that "The respondent who have higher perception level on importance of health will have higher scores in the practice health promoting behavior." was rejected(r=- 0665, P=0.2225). 5. The most important factor that affects health promoting behavior practice was working hours per week(6.0%). The combination of working hours per week, age, education level accounted for 10.0% of the variance in health promoting behavior. In conclusion, the results of this study on industrial workers supported Pender's health promotion model in partial and showed the relatedness between self concept and the practice of health promoting behavior. Further research is required to find factors influencing health promoting behaviors of industrial workers.

• Journal of Korean Academy of Nursing
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• v.33 no.5
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• pp.609-617
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• 2003

Purpose: The purpose of this study is to understand the depression of patients for Fibromyalgia Syndrome(FMS) and to identify the factors influencing depression. Method: The instruments used here are Beck Depression Inventory in depression, the Korean Rheumatology Health Association' instruments in Self-Efficacy. Also, Pain and Fatigue was measured by Visual Graphic Rating Scale. The subject of study is 76 outpatients diagnosing FMS from rheumatism specialists at C hospital in D city. The data has been collected from Sep. 1st to Sep. 30th in 2001. For the analysis of collected data, frequency analysis, independent t-test, analysis of variance, Pearson's correlation and multiple regression analysis were used for statistical analysis with SAS statistical program. Result: General characteristics showing statistically significant difference in depression were age, education, occupation, gender, exercise and sleep in the patients with FMS. Depression for the patients with FMS has negative correlation coefficients with Self-efficacy and ADL, and positive correlation coefficients with Pain and Fatigue. The suitable regression form resulting from the multiple regression analysis to investigate the influencing factors of depression for the partients with FMS was expressed by y =50.067 - 0.278x$_1$ + 1.320x$_2$ (x$_1$: Self-Efficacy x$_2$: Fatigue) and $R^2$ =0.427. Conclusion: The factors influencing on depression of patients for FMS was Self-Efficacy, ADL, Pain, and Fatigue. Further study needs to be done identify methods of overcoming and presentation of depression in FMS.

• Journal of the Korean Dietetic Association
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• v.8 no.1
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• pp.42-51
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• 2002

Questionnaire survey was performed in order to set an adequate meal table for athletes taking their food preferences into consideration. The survey was conducted against 32 athletes of a professional soccer team. Statistical data analysis was performed utilizing SAS package program. The results of this study can be summarized as follows; 18.8% of the answerers were found out to consider their autotrophic nutritional status as above average, 75.0% considered theirs as up to the average and 6.2%, below average. Among answers to the question what they consider as the most critical factor in their staying healthy; sound sleep won the most votes followed by enough rest, tranquillity and balanced eating habit. Yet, 68.8% replied their meal sizes were not settled. And 46.9% thought nutritive supplement helpful and 96.9% of the answerers said a dietitian is required as their health manager. 62.5% of them preferred Korean cuisine. Chigye and Chongol were the most preferred menus(55.6%) and Namul (28.1%), Muchim(26.3%) and Cheok.cheon(23.9%) enjoyed relatively low preference.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5593-5597
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• 2012

Purpose: The aim of this study was to evaluate the effects of the group therapy on psychological symptoms and quality of life of patients with early stage breast cancer. Methods: This study was performed on 16 breast cancer patients who completed treatments. The total group therapy program involved a weekly session of 2-3 hours, for 16 weeks. The group therapy sessions were given to women in the oncology department by a clinical psychologist and also given training sections by the different professional teams. All the required assessments for the study were performed after and before 16 week group therapy intervention. Results: Initially we had taken 21 women but 16 participated in all therapy programs and submitted questionnaires. The mean age was 47.8 years. There were significant differences between before and after group therapy program. Anxiety, depression, and distress showed significant improvements. Hopelessness scale was detected at the border of significance. There was no change in sleep problems and quality of life. According to the analysis of correlation, considering the age factor and year of diagnosis, there was found no statistically significant relationship between anxiety, distress, depression, hopelessness, sleeplessness, and quality of life. Conclusions: This pilot study demonstrated that brief, predominantly group therapy is feasible for patients with breast cancer and, also it may be helpful to cope with emotional and physical distress.

• Journal of Korean Academy of Nursing
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• v.42 no.6
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• pp.853-860
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• 2012

Purpose: The purposes of this study were to develop a Minimal Insomnia Screening Scale for Korean adults (KMISS) and to evaluate psychometric properties and discriminant ability of the developed scale. Methods: Data from a cross-sectional survey of 959 Korean adults were analyzed to develop the summated insomnia scale, which was evaluated in terms of reliability, validity, and discriminant ability by receiver operating characteristics (ROC) curve analysis. Results: Item-total correlations ranged between .71-.79 and Cronbach's ${\alpha}$ was .87. Adequate validity was also evident. ROC-curve analysis showed area under ROC was .87 (95% CI: .84-.90) and identified the optimal cut-off score as ${\leq}20$ (sensitivity, .83; specificity, .75; positive/negative predictive values, .40/.95). Using this cut-off score, the prevalence of insomnia in the study sample was 26.3% and most frequent among women and the oldest group. Conclusion: Data supports the psychometric properties of KMISS as a possible insomnia screening instrument. KMISS also shows promise as a convenient ultra-short screening measure of insomnia for adults and epidemiological studies in community health care settings.