• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.572-582
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• 2020

The purpose of this study was to investigate workplace bullying, job stress, organizational commitment, and turnover intention as well as determine influencing factors on the turnover intention of small and medium-sized hospital nurses. Participants included 140 nurses from six small and medium-sized hospitals with less than 300 beds in G-city and J-province. Data were analyzed using descriptive statistics, independent t-test, one-way analysis of variance, Pearson's correlation coefficient, and stepwise multiple regression, using the SPSS Win 21.0 program. The regression model was statistically significant (F=37.11, p<.001), and the explanatory power for turnover intention was 34.2%. The significant factors influencing turnover intention were organizational commitment (β=-.41, p<.001 and job stress (β=.25, p=.005). Human resources management is crucial for providing high quality healthcare service. The results of this study indicated that it is important to lower job stress and increase organizational commitment in order to reduce turnover intention among nurses of small and medium-sized hospitals. Based on these findings, customized programs for nurses in small and medium-sized hospitals need to be developed and implemented so as to lower their turnover intention and promote efficient management of healthcare human resources.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.3-20
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• 2019

With advancements in technology of virtual reality, it is used for various purposes in many fields such as medical care and healthcare, but as the same time there are also increasing reports of nausea, eye fatigue, dizziness, and headache from users. These symptoms of motion sickness are referred to as cybersickness, and various researches are under way to solve the cybersickness problem because it can cause inconvenience to the user and cause adverse effects such as discomfort or stress. However, there is no official standard for the causes and solutions of cybersickness at present. This is also related to the absence of tools to quantitatively measure the cybersickness. In order to overcome these limitations, this study proposed quantitative and objective cybersickness evaluation method. We measured 128-channel EEG waves from ten participants experiencing visually stimulated virtual reality. We calculated the relative power of delta and alpha in 11 regions (left, middle, right frontal, parietal, occipital and left, right temporal lobe). Multiple regression models were obtained in a stepwise manner with the motion sickness susceptibility questionnaire (MSSQ) scores indicating the susceptibility of the subject to the motion sickness. A multiple regression model with the highest under the area ROC curve (AUC) was derived. In the multiple regression model derived from this study, it was possible to distinguish cybersickness by accuracy of 95.1% with 11 explanatory variables (P_D.MF, P_D.LP, P_D.MP, P_D.RP, P_D.MO, P_A.LF, P_A.MF, P_A.RF, P_A.LP, P_A.RP, P_A.MO). In summary, in this study, objective response to cybersickness was confirmed through 128 channels of EEG. The analysis results showed that there was a clearly distinguished reaction at a specific part of the brain. Using the results and analytical methods of this study, it is expected that it will be useful for the future studies related to the cybersickness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.303-311
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• 2018

This study was conducted to investigate the effects of oral health awareness and oral health behavior on cardiocerebrovascular prevention behavior in a cardiocerebrovascular diseases risk group and provide basic data for a nursing intervention program for the group. Data were collected from 131 people in the risk group of cardiocerebrovascular diseases living in J Province in February and March of 2018. The obtained data were analyzed using descriptive statistics, t-tests, Pearson's correlation, and stepwise multiple regression analysis. The results revealed that preventive acts were positively correlated with subjective oral health state (r=0.261, p=0.003), importance of oral health (r=0.250, p=0.004), and practice of oral health (r=0.303, p<0.001). Moreover, acts to prevent cardiocerebrovascular disease were influenced by oral health (${\beta}=0.29$, p<0.001), age (${\beta}=0.27$, p=0.001), and subjective oral health state (${\beta}=0.24$, p=0.003). Specifically, scores of preventive acts for cardiocerebrovascular diseases increased with higher degree of oral health behavior, older age, and better subjective oral health state. These variables had an explanatory power of 19.3%. The results of this study imply a need to prepare measures to enhance the oral health level of the risk group of cardiocerebrovascular diseases and conduct ongoing follow-up studies of the perception, attitude, and behavior of individuals toward oral health, as well as the state of oral health.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.11
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• pp.1537-1544
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• 2015

Meat and carcass quality attributes are of crucial importance influencing consumer preference and profitability in the pork industry. A set of 400 Berkshire pigs were collected from Dasan breeding farm, Namwon, Chonbuk province, Korea that were born between 2012 and 2013. To perform genome wide association studies (GWAS), eleven meat and carcass quality traits were considered, including carcass weight, backfat thickness, pH value after 24 hours (pH24), Commission Internationale de l'Eclairage lightness in meat color (CIE L), redness in meat color (CIE a), yellowness in meat color (CIE b), filtering, drip loss, heat loss, shear force and marbling score. All of the 400 animals were genotyped with the Porcine 62K SNP BeadChips (Illumina Inc., USA). A SAS general linear model procedure (SAS version 9.2) was used to pre-adjust the animal phenotypes before GWAS with sire and sex effects as fixed effects and slaughter age as a covariate. After fitting the fixed and covariate factors in the model, the residuals of the phenotype regressed on additive effects of each single nucleotide polymorphism (SNP) under a linear regression model (PLINK version 1.07). The significant SNPs after permutation testing at a chromosome-wise level were subjected to stepwise regression analysis to determine the best set of SNP markers. A total of 55 significant (p<0.05) SNPs or quantitative trait loci (QTL) were detected on various chromosomes. The QTLs explained from 5.06% to 8.28% of the total phenotypic variation of the traits. Some QTLs with pleiotropic effect were also identified. A pair of significant QTL for pH24 was also found to affect both CIE L and drip loss percentage. The significant QTL after characterization of the functional candidate genes on the QTL or around the QTL region may be effectively and efficiently used in marker assisted selection to achieve enhanced genetic improvement of the trait considered.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.506-516
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• 2018

This study was conducted to identify pain intensity and factors affecting pain intensity in patients with advanced cancer. Data were collected between June 1 and September 30, 2016 using a questionnaire. The sample size was 221 patients with advanced cancer who were admitted to the oncology department or who visited the outpatient of the general hospital. Data were evaluated by descriptive and Pearson's correlation analyses, one way ANOVA, t-tests and stepwise multiple regression analysis. The mean scores of pain intensity of cancer patients were 4.23 (${\pm}1.68$) based on the average daily pain intensity. Factors influencing pain intensity were illness perception (${\beta}=.27$, p<.001), pain opioid analgesics beliefs (${\beta}=.24$, p<.001), education (middle school, ${\beta}=.24$, p=.001), economic status (${\geq_-}400$, ${\beta}=.20$, p=.001), gender (female, ${\beta}=.14$, p=.017), pain management education (${\beta}=-.14$ p=.020) and diagnosis (Pancreatic Ca, ${\beta}=.14$, p=.020). It explained 28%. Overall, the results of this study revealed that illness perception and pain opioid analgesics beliefs were important factors influencing pain intensity, but that the most important influencing factor was illness perception. Accordingly, it is necessary to develop pain management strategies that include not only pain management knowledge and pain opioid analgesics beliefs, but also illness perception.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.463-473
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• 2018

This investigation was a descriptive study that examined the relationship among factors including professional autonomy, role conflict, and clinical decision-making ability of nurses on comprehensive nursing service wards. To accomplish this, a survey of 234 nurses working at D city and G city who were selected based on convenience sampling was conducted. Data were collected using a self-reported questionnaire completed by 234 nurses at four clinical hospitals from October 12, 2017 to November 30, 2017. The collected data were evaluated by t-tests, ANOVA, Pearson's correlation and stepwise multiple regression analysis. The mean clinical decision-making ability score was $3.38{\pm}0.78$, which corresponded to an intermediate level of clinical decision-making ability. Clinical decision making ability was positively correlated with professional autonomy, but role conflict showed a negative correlation. The factors having the greatest impact on clinical decision-making ability were found to be, in order, length of work, education level, professional autonomy and role conflict, which together accounted for 38.7% of the total impact. To improve clinical decision making ability, it is important to improve autonomy and role conflict. Additionally, to improve clinical decision-making ability, it is necessary to improve clinical decision-making ability to determine nurses tasks through professional autonomy and role conflict. Overall, the results of this study can be utilized as baseline data when developing a program to enhance nurses' clinical decision making ability. Moreover, it is suggested that an interventional study analyzing validity and effectiveness of developed education programs be conducted.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.301-311
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• 2011

This study was performed to determine the self-perceived fatigue and its association with job stress contents and psychosocial factors among white collar male workers. The self-administered questionnaires were given to 872 workers employed in 42 work places during the period from February 1st to April 30th, 2009. As a results, in terms of levels of self-perceived fatigue according to the job stress contents and psychosocial factors, under significantly higher level of self-perceived fatigue were those with higher level of job demand, lower job autonomy, lower supervisor support and higher locus of control than their respective counterparts. Multiple stepwise analysis revealed that the factors of influence on self-perceived fatigue included age, subjective status of health, job career, experience of sick absence, sense of satisfaction in work, regular exercise, sleeping hours, visiting out-patient department, job demand, supervisor support and self-esteem. The study results indicated that the level of self-perceived fatigue is so complicatedly influenced by variable factors as well as socio-demographic characteristics, job-related characteristics and health-related behaviors, to a greater extent, by JCQ and psychosocial factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.707-716
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• 2009

The levels of psychosocial stresses and fatigue of firemen were analyzed to reveal the various factors related to them. The self-administered questionnaires were performed to 262 firemen ill Cheonsju City. In terms of various levels of psychosocial stresses, 12.2% were under potential stresses, 87.8% were under high-level of stress, but healthy group was not found. The levels of fatigue symptoms divided by the median of total scores was 51.1% of low levels, and 48.9% of high levels. Multiple stepwise analysis revealed that the factors or influence on psychosocial stresses with explanatory powers of 11.5% included subjective health status, job satisfaction, job demand and alcohol drinking habits. The factors of influence on fatigue symptoms with explanatory powers of 9.0% included subjective health and regular exercises. The study results indicate that the level of stress or fatigue is so complicatedly influenced by variable factors. Thus the effective strategy for stress and fatigue reduction among firemen should include additional programs focusing on health promotion.

• Korean Journal of Psychosomatic Medicine
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• v.9 no.2
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• pp.182-193
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• 2001

The purpose of this study is to evaluate correlation of adolescent eating attitude and psychological factors which might influence the eating attitude such as depression, aggression and impulsiveness. The author also tried to identify relationship between adolescent eating attitude and biological factors such as serum cholesterol level and triglyceride level. Two hundred and forty one female high school students without physical disorder were selected as study subjects. For the study, Eating Attitude Test-26KA (EAT -26KA), Beck Depression Inventory (BDI) -Korean version, Barrat Impulsiveness scale (BIS) -Korean version, and Buss-DurKee Hostility Inventory (BDHI) -Korean version were used. Serum cholesterol level and triglyceride level were also investigated. For the purpose of identifying factors which could influence eating attitude of adolescence, stepwise multiple linear regression analysis was done. Total score of BDHI could be most significant factor to explain eating attitude, and BDI, serum cholesterol/triglyceride level be second, third position respectively. But, BIS was not significant predicting parameter. The contributing portion of these factors to explain eating behavior was 25.9%.

• Environmental and Resource Economics Review
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• v.13 no.2
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• pp.271-300
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• 2004

We investigate the two recent simulations of the proto-type domestic carbon emission trading system in Korea and draw some policy implications. The first simulation includes the 5 electric power companies based on baseline and credit. But the second one is with the 7 energy-intensive companies based on cap and trade. The voluntary approaches in this paper revealed the instability of market equilibrium, i.e., price volatility or distortion, excess supply or demand. These phenomena stems from excess incentives to the players, asymmetric information, players' irresponsible strategic behaviors, and non acquaintance of trading system. This paper suggests the basic design for domestic carbon trading system in future and a stepwise introduction strategy for it including the incentive auction scheme, the total quantity of incentive needed, and how to finance it. Meantime, the further simulations on the various sectors based on voluntary participation must be essential for learning experiences and better policy design.