• Korean Journal of Adult Nursing
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• v.24 no.5
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• pp.441-453
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• 2012

Purpose: This secondary data analysis study was aimed at identifying the factors related to the patterns of alcohol use (normal alcohol use, hazardous alcohol use, and alcohol dependence) in the Korean adult. Methods: This study analyzed the cross-sectional data from 230,715 Korean adults aged 19 year and older who participated in the 2009 Korean Community Health Survey. Multinomial logistic regression was used to uncover associations between demographic, health related factors and the patterns of alcohol use. Results: The patterns of alcohol use was differentiated from the sociodemographic variables (residential area, gender, age, marital status, educational level, monthly income, and occupation) and with health related factors (smoking status, hours of sleep, body mass index, pain or discomfort, subjective health, stress level, liver disease, cardio/cerebro vascular disease, and depression). Hazardous alcohol use was lower in rural areas and lower among women, but higher among people who smoke, reported severe stress, and/or depression. Similarly, alcohol dependence was lower among women and among those in rural areas, and was more likely associated with those who smoke, have severe stress and depression. Conclusion: A number of factors are associated with patterns of drinking. Smoking, severe stress and depression seems to confound the problems of alcohol use. Additional research is needed to isolate those factors that are the most important influencing the use of alcohol.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.27 no.2
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• pp.156-168
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• 2020

Purpose: This study aimed to examine factors influencing health-related quality of life (HRQOL) and compare them between young-aged and old-aged patients with cancer. Methods: Data of 291 patients (young-aged: 168, old-aged: 123) were obtained from the 10th wave of the 2015 Korea Health Panel Survey. The HRQOL was measured using the Korean version of Euro-QoL-5D. Independent t-test, analysis of variance, and multiple regression analysis were performed to identify factors influencing HRQOL. Results: The average HRQOL score was 0.87±0.10 and 0.82±0.15 among young-aged and old-aged, respectively. The factors differed partially between the two groups. For young-aged, the influencing factors were activity restriction, subjectively perceived health status, and smoking. For old-aged, the influencing factors were activity restriction, subjective health status, and unmet healthcare needs. Conclusion: Strategies to improve the HRQOL of elderly adults need to be developed considering the age group. Additionally, studies that include clinical factors such as symptoms are required to prepare need-based practical approaches for better quality of life of such patients.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.80-88
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• 2005

This research describes an interactive process of analysing the demand factors for apartment on Cheonan area Using subjective statistical data for demand factor the process are categorized into main factors explained for the sensitiveness of correlation coefficient. This investigation is based on an analysis of the work of time series data One of the propose of this research is determining the correlation factors that can be effectively used in the model of forcasting. The results show a significant correlation coefficient on correlation matrix to iud the optimum correlation factors. The paper thus shows how to gain greater influntial factors on principal component analysis Consequently, this paper provides useful information about correlationship, but has limit of regional boundary for effectiveness.

• Research in Community and Public Health Nursing
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• v.31 no.spc
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• pp.563-576
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• 2020

Purpose: The purpose of this study is to identify personal factors, social factors, and environmental factors related to physical activity in older adults in urban and non-urban areas. Methods: We used source data from the 2017 Community Health Survey. The subjects of this study included some older adults aged 65 and over, and analyzed the data of 23,043 older adults living in the urban and 34,063 older adults living in the non-urban area. Results: The common factors influencing physical activity in older adults by region include current smoking and drinking, BMI, sleep duration, and subjective health status, help with neighbors, frequency of meeting with neighbors and friends, participation in social and leisure activities, and falls experience (p<.001). However, the living environment, public transport satisfaction, and medical service use significantly associated with physical activity for only older adults living in the urban area (p<.001). Conclusion: In order to improve physical activity in older adults in the community, it is necessary to consider not only the improvement of individual factors that practice health behaviors but also health promotion strategies that take into account social and environmental factors because there are environmental differences among regions.

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.435-459
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• 2022

The accounting literature abounds with many studies concerning the organizational and technical aspects of the AIS to simulate progress in the business environment. However, few studies have focused on the role of individual factors in overcoming resistance to change and maximizing the value of using the system. Therefore, this study aims to shed light on user beliefs by evaluating the factors that affect the use of the AIS using a developed TAM. A total of 132 subjects participated in this study, in which the questionnaire was used as a data collection tool and AMOS was used to test the model. The results showed that subjective norm, training and experience were the most important previous factors that affect the perceptual factors represented in usefulness, ease of use and the inevitability of change, which all had an impact on the continuance intention to use the AIS among users in Algerian firms. This study shed light on the importance of assessing individual factors rather than focusing only on the ways to develop AIS or researching for new technologies and the costs of this investment because this will increase the chances of success in using the system.

• Korean Journal of Biological Psychiatry
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• v.18 no.3
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• pp.141-147
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• 2011

Objectives The purpose of this study is to evaluate the relationship between the severity of white matter changes (WMC), risk factors and cognitive domains, including executive function profiles. Method Forty nine subjects over 55 years with subjective memory complaints were assessed with MRI and neuropsychological tests. The WMC were assessed by MRI T2-FLAIR images and divided into 3 groups of mild vs. moderate vs. severe and 2 groups of mild-moderate vs. severe by using Mantyla's criteria and Fazeka's criteria. The risk factors were examined in hypertension, heart disease history and chemistry Lab. Medical conditions which affect to cognitive dysfunction and definite dementia were also excluded. Results Comparing 3 groups, hypertension was identified as a risk factor of the WMC. Comparing 2 groups, total cholesterol and LDL were identified for as the risk factor of WMC. The severity of WMC was significantly associated with cognitive disturbances and their main effect on cognition was working memory and inhibition. Conclusion The risk factors of the WMC in the elderly were hypertension, hyperlipidemia. The severity of WMC appears to be associated with executive dysfunction in the elderly.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.666-673
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• 2020

The purpose of this study was to investigate the relationship between dental decision factors and dental service satisfaction of the high school students. The study participants consisted of 300 high school students in some regions. A total of 288 were used for the final analysis, except 12 with insufficient responses. The data was analyzed by using SPSS 18.0 program. According to general characteristics, if there was no scaling experience, orthodontic treatment, high satisfaction with school life, the higher the subjective oral health status, the higher the satisfaction of the dental hospital. Hospital decision factors according to the general characteristics of the subjects most frequently answered that employee service satisfaction was important. As a result of testing the correlation between hospital decision factors and medical service satisfaction, there was a significant positive correlation between medical service satisfaction, such as facility, recommendation of others, use procedures, service adequacy, employee service satisfaction. As a factor influencing dental hospital satisfaction, subjective oral health was shown as a good criterion, and usage procedures and staff service satisfaction showed positive relevance. Continuous trust builds up is important to improve patient satisfaction.

• Geomechanics and Engineering
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• v.11 no.4
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• pp.493-513
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• 2016

A modified grey clustering method is presented to systematically evaluate the risk of water inrush in karst tunnels. Based on the center triangle whitenization weight function and upper and lower limit measure whitenization weight function, the modified grey evaluation model doesn't have the crossing properties of grey cluster and meets the standard well. By adsorbing and integrating the previous research results, seven influence factors are selected as evaluation indexes. A couple of evaluation indexes are modified and quantitatively graded according to four risk grades through expert evaluation method. The weights of evaluation indexes are rationally distributed by the comprehensive assignment method. It is integrated by the subjective factors and the objective factors. Subjective weight is given based on analytical hierarchy process, and objective weight obtained from simple dependent function. The modified grey evaluation model is validated by Jigongling Tunnel. Finally, the water inrush risk of Shangjiawan Tunnel is evaluated by using the established model, and the evaluation result obtained from the proposed method is agrees well with practical situation. This risk assessment methodology provides a powerful tool with which planners and engineers can systematically assess the risk of water inrush in karst tunnels.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3789-3798
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• 2014

This study examined the factors affecting blood donation intention and behavior in college students based on the theory of planned behavior. The subjects were 258 students from one college in G city, and the data was collected by a survey using self-administered questionnaires structured from June 3 to June 14, 2013. The data was analyzed using the SPSS 19.0 program, the variables affecting the blood donation intention were analyzed by stepwise multiple regression, and the variables affecting the blood donation behavior were analyzed by Logistic regression. The factors affecting the blood donation intention were in order the perceived behavioral control, attitude toward the behavior and subjective norm, and the explanatory power was 65.6%. In addition, the factor affecting the blood donation behavior was only the blood donation intention (OR=1.129, p=.010) except for perceived behavioral control. Therefore, the perceived behavioral control, attitude and subjective norm should be considered when developing blood donation programs for college students.

• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.460-470
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• 2019

Purpose: This study was to identify the factors influencing the practice of respiratory infection prevention (RIP) for the elderly residing in rural areas. Methods: The data were collected from 188 residents aged 65 years or older residing in the jurisdictions of four public health clinics in rural areas of C city, using a structured questionnaire for the period from December 1, 2018 to February 28, 2019. The collected data were analyzed with independent t-test, one-way ANOVA, Pearson's correlation coefficients, and hierarchical multiple regression analysis using SPSS/WIN 25.0 program. Results: The score on knowledge of RIP was 8.82±1.36, while it was 4.53±0.47 for attitude, 3.78±0.66 for practice, and 3.78±0.69 for social capital. It was observed that the factors influencing the practice of RIP were attitude of RIP (β=.38, p<.001), social capital (β=.29, p<.001), family type (β=-.19, p=.002), and subjective health status (β=.15, p=.035), while the explanatory power of the model was 47%. Conclusion: Consequently, to enhance the practice of RIP for the elderly residing in rural areas, it is necessary to develop programs considering social and environmental characteristics of rural areas based on their attitude of RIP, social capital, family type and subjective health status.