Objectives: The present study was intended to assess the mental health of nurses working for university hospitals and to establish which factors determine their mental health. Methods: Self-administered questionnaires were given to 1,486 nurses employed in six participating hospitals located in Daejeon City and Chungnam Province between July 1 st and August 31st, 2006. The questionnaire items included sociodemographic, job-related, and psychosocial factors, with job stress factors (JCQ) as independent variables and indices of mental health status (PWI, SDS and MFS) as dependent variables. For statistical analysis, the Chi-square test was used for categorical variables, with hierarchical multiple regression used for determining the factors effecting mental health. The influence of psychosocial and job-related factors on mental health status was assessed by covariance structure analysis. The statistical significance was set at p<0.05. Results: The factors influencing mental health status among subject nurses included sociodemographic characteristics such as age, number of hours of sleep, number of hours of leisure, and subjective health status; job-related characteristics such as status, job satisfaction, job suitability, stresses such as demands of the job, autonomy, and coworker support; and psychosocial factors such as self-esteem, locus of control and type A behavior patterns. Psychosocial factors had the greatest impact on mental health. Covariance structure analysis determined that psychosocial factors affected job stress levels and mental health status, and that the lower job stress levels were associated with better mental health. Conclusions: Based on the study results, improvement of mental health status among nurses requires the development and application of programs to manage job stress factors and/or psychosocial factors as well as sociodemographic and job-related characteristics.
The Journal of Korean Society for School & Community Health Education
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v.4
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pp.61-78
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2003
This research was conducted to identify the factors that cause school related stress among middle school students, and to develop countermeasures in order to prevent the rebellious acts of middle school students that are on the rise and to pursue after effective guidance measures. To achieve these research objectives, 856 questionnaires were distributed to the two middle schools, situated in Goyang-si, Gyeonggi Province, and these questionnaires were analyzed, using the SPSS statistical package program. The conclusions were as follows; 1. Perceived factors for School Related Stress Overall average of the perceived degree school related stress factors was a level that goes beyond the normalcy. Stress on the grade was the highest Among these, the average of question items that addressed decrease in grade was the highest of all items followed by class factors, teacher-related factors, friend-related factors, and environmental factors. Accordingly, this research demonstrated that the students feel pressured by the university entrace examination and a school life that is focused on grades. The teacher-related factors and class factors were higher than the average, and others were relatively low. 2. School Related Stress according by Individual All the factors for school related stress were statistically significant difference according to the gender, and teacher-related factors, class factors, and environmental factors were statistically significant difference according to their school years. Their grade made their grade factors statistically significant difference, and the number of friends produced a statistically significant difference result on the teacher-related factors. Wheather they had extra classes or not made a statistically significant difference result on the class factors and environmental factors, and especially the time of doing physical exercises produced statistically significant difference on the environmental factors. 3. Countermeasures for School Related Stress according by Individual As for the countermeasures for school related stress according to the individuality, the active reacting was statistically significant difference according to the gender index, and the student's degree to react passively was statistically significant difference according to their grade. The students in different school years showed statistically significant difference reactions in both passive ways and active ways. students tended to react differently in an unreality index. Lastly, Wheather they had extra classes and physical exercises made then to react passively or actively. When the results are compiled, students are most affected by the stress related to grades, which reflected the university entrance examination oriented school life. An alternative is that the development of educational program that factors in the students' talents and aptitude is needed urgently. Moreover, character and career path related guidance and education are just as important as the academics. Given that the stress factors exert some degree of influence on the countermeasures, it is necessary to block the factors in advance and for all the teachers and parents to make an effort to react actively.
The Journal of Asian Finance, Economics and Business
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v.9
no.6
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pp.1-9
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2022
The study aims to determine the factors and their influence on the income from using public agricultural land of households. Public agricultural land is agricultural land, including land for growing annual crops, perennial crops, and land for aquaculture, leased by commune-level People's Committees with a lease term of not more than 5 years. Secondary data were collected for the 2017-2021 period at state agencies. Primary data were collected from a survey of 150 households renting public agricultural land. The regression model assumed that there were 28 factors belonging to 7 groups. The test results show that 25 factors affect income, and 03 factors do not. The group of COVID-19 pandemic factors has the strongest impact, followed by the groups of agricultural product market factors, land factors, capital factors, production cost factors, labor factors, and climatic factors. The impact rate of COVID-19 pandemic factors is the largest (23.00%); The impact rate of climatic factors is the smallest (6.04%). Proposals to increase income include good implementation of disease prevention and control; increasing the land lease term; accurately forecasting the supply and demand of the agricultural market; raising the level of the household head; ensuring sufficient production capital, and adapting to the climate.
Background: Lower-limb varicose veins (VVs) are common and known to have a higher prevalence among people who work in occupations requiring prolonged standing. In the Republic of Korea, however, VV-related occupational factors have seldom been examined. This study was conducted to assess the prevalence of VVs among nurses, an occupational group considered to be at high risk of VVs, and determine the occupational risk factors of prolonged standing. Methods: Between March and August 2014, a questionnaire survey coupled with Doppler ultrasonography was conducted on the nurses working at a university hospital. Results: A total of 414 nurses participated in the survey and diagnostic testing. From the survey analysis and test results, the prevalence of VVs in nurses was estimated to be 16.18%. Significant factors for venous reflux were age [odds ratio (OR) = 1.06, 95% confidence interval (CI) = 1.03-1.10], pregnancy (OR = 2.15, 95% CI = 1.17-3.94), and delivery (OR = 2.02, 95% CI = 1.08-3.78). The statistical significance of these factors was verified after risk adjustment for sociodemographic factors (OR = 3.40, 95% CI = 1.27-9.09). Conclusion: Factors significantly associated with venous reflux were increasing age and prolonged working hours (${\geq}4hours$) in a standing position (OR = 2.80, 95% CI = 1.08-7.25), even after risk adjustment for sociodemographic factors. This study is significant in that an objective diagnosis of VVs preceded the analysis of the risk factors for VV incidence, thus verifying objectively that VVs are associated with occupations requiring prolonged hours of working in a standing position.
Lee, Kyung-Sook;Koh, Chin-Kang;Kim, Joo Hyun;Son, Haeng-Mi;Song, Mi Ryeong;Yu, Su Jeong;Cho, Kyung Sook
Journal of muscle and joint health
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v.20
no.2
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pp.112-121
/
2013
Purpose: This purpose of study was to examine the degree of the depression and to identify the affecting factors on the depression of Korean female university students. Methods: A cross-sectional descriptive study design was used. Data were collected from 448 female university students. Participants completed a self-reported questionnaire including general characteristics, depression, well-being, stress, self-efficacy, social support, coping, self-esteem, and temperament. Results: The mean of Beck's Depression Inventory was 11.07. The affecting factors on the depression of female university students were stress, well-being, self-esteem, health status and major. The proportion of variance explained by these affecting factors was 50.0%. Conclusion: Depression among female university students were associated with various factors. Considering these factors, intervention programs should be developed to reduce depression of female university students.
In recent years, IT organizations are in the process of introducing IT Governance as the concept and measure of transparency, accountability and effectiveness of IT activities and control for managing governance processes. In this paper, the influential factors for IT organizations to adopt COBIT(The Control Objectives for Information and related Technology) which is a typical framework for effective IT Governance execution were classified and analyzed empirically into internal and external factors. Internal factors were designed based on influential factors in the theory of innovation diffusion, and external factors were designed based on influential factors from outside certification which were absent in COBIT and expertise support from the outside. The result of this study showed that understandability, transition and effectiveness which were internal factors had no effect on COBIT introduction, and only expertise support among certification and expertise support which were external factors had significant effects. This result shows that there are lack of COBIT supports and introduction in internal IT organizations. It is expected that the result of this study will allow strategic approach of COBIT adoption in future by verifying influential factors of COBIT introduction within IT organizations.
Journal of Korean Academy of Fundamentals of Nursing
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v.13
no.2
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pp.200-207
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2006
Purpose: This study was done to identify factors influencing falls in inpatients. A comprehensive analysis of individual, disease, and environment related factors and an assessment of being in a risk factor group were included in the data. Method: The medical records of 325 inpatients were reviewed. Data were collected from January to July 2003. Frequencies, 1-test and $X^2-test$ were used to analyze the data and the SPSS program was used. Results: Individual-related factors for inpatients falls were age, drinking and weakness. Disease-related factors for inpatients falls were diagnostic department, admission from ER or OPD, admission by wheelchair or orther method and activity status. Environment-related factors for inpatient falls were re-education and side-rails. Assessment of the risk factor group related factors were age, history of falls, body balance, depression, communication, medication, chronic disease, urinary condition and total score for risk factors. Conclusion: Experienceing a fall among Korean inpatients was associated not only with individual factors, but also with disease and environmental factors. The findings of this study suggest that broad intervention programs should be provided to prevent inpatient falls.
Background: Factors related to root causes can cause commonly occurring accidents such as falls, slips, and jammed injuries. An important means of reducing the frequency of occupational accidents in small- to medium-sized enterprises (SMSEs) of South Korea is to perform intensity analysis of the root cause factors for accident prevention in the cause and effect model like decision models, epidemiological models, system models, human factors models, LCU (life change unit) models, and the domino theory. Especially intensity analysis in a robot system and smart technology as Industry 4.0 is very important in order to minimize the occupational accidents and fatal accident because of the complexity of accident factors. Methods: We have developed the modern cause and effect model that includes factors of root cause through statistical testing to minimize commonly occurring accidents and fatal accidents in SMSEs of South Korea and systematically proposed educational policies for accident prevention. Results: As a result, the consciousness factors among factors of root cause such as unconsciousness, disregard, ignorance, recklessness, and misjudgment had strong relationships with occupational accidents in South Korean SMSEs. Conclusion: We conclude that the educational policies necessary for minimizing these consciousness factors include continuous training procedures followed by periodic hands-on experience, along with perceptual and cognitive education related to occupational health and safety.
The Journal of Asian Finance, Economics and Business
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v.8
no.5
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pp.241-251
/
2021
This research explores and develops digital transformation factors influencing the logistics service-provider sector in Thailand while also examining the impact sustainability factors associated with digital transformation. Divided into two parts, Part one of the theoretical study framework covers 21 factors relating to logistics, including drivers, objectives, implications, and success factors. The second part concerns 23 factors associated with logistics sustainability, including economic, environmental, and social aspects. This quantitative empirical research was conducted using an online questionnaire instrument, and a structural equation modeling (SEM) technique was used to test the proposed model. The findings from 545 samples collected between August and November 2020 from respondents working in logistics service-provider companies in Thailand show that digital transformation drivers and objectives seem likely to impact success factors and implications in digital transformation positively. Digital transformation success factors also positively impact logistics sustainability. In comparison, logistics sustainability has a significant impact on Thailand's logistics service-provider sector's economic, environmental, and social aspects. Lastly, this research highlights the significance of digital transformation success factors and extends the current knowledge about digital transformation factors and their potential impact on logistics sustainability.
Kim, In Ja;Suh, Moon Ja;Kim, Kum Soon;Cho, Nam Ok;Choi, Hee Jung
Korean Journal of Adult Nursing
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v.12
no.1
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pp.147-162
/
2000
Predicting factors of post-stroke depression were investigated. The subjects were 254 stroke patients who had been discharged and visited regularly the outpatient clinic for follow up care. The influencing factors were classified into five categories : demographic, disease-related, current state, social support, and illness intrusiveness. Sex, age, job, and educational level were defined as the demographic factor. The disease-related factors included stroke type, illness duration, attack frequency, and NIH score. ADL, cognitive function, and social activity were considered as the current state factors. The social support was measured as the perceived amount of social support. Illness intrusiveness means the perceived illness induced life style disruptions. Demographic, disease-related, current state, and social support were hypothesized to directly and indirectly affect post-stroke depression through illness intrusiveness. The illness intrusiveness was hypothesized to directly affect post-stroke depression. The hierarchial multiple regression was used to identify significant factors. The result showed that this model explained 43.3% of variance of post-stroke depression. And the prevalence of post-stroke depression was 38.8%. Among the demographic factors, job was identified as a main contributor to indirectly increase the post-stroke depression. Among the disease-related factors, stroke type, attack frequency, and NIH score were found to indirectly affect the post-stroke depression. Among the current state factors, ADL and social activity indirectly affected the post-stroke depression through illness intrusiveness. Social support and illness intrusiveness were identified to directly affect the post-stroke depression. This study has proved the factors likely to be implicated in the development of post-stroke depression. Based upon these results, it is recommended that the nurses who take care of post-stroke patients consider the risk factors such as social support, illness intrusiveness et al. Also programs which decrease the illness intrusiveness and increase the social support to reduce post-stoke depression recommended to be developed.
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