• Journal of Korean Academy of Nursing
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• v.31 no.4
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• pp.571-583
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• 2001

Purpose: The purpose of this study was to examine the levels of burnout experienced by Korean hospital nurses (N=198), and to identify predictors of their nursing outcomes such as job performance, work satisfaction, and productivity. Method: Hierarchical multiple regression was used to identify predictors of each nursing outcomes. Included predictors were nurses' general characteristics, work- related characteristics (role stress and perceived control), and burnout. Results: Korean nurses experienced higher levels of burnout compared to the cutoffs suggested by Maslach and Jackson (1986) and to those in the USA. For each nursing outcome, predictor variables explained 39% of the variance in role performance, 30% of the variance in work satisfaction, and 38% of variance in productivity. Higher personal accomplishment, lower role ambiguity, being staff nurses, and lower emotional exhaustion were related to higher job performance, and higher productivity. Lower role conflict and role ambiguity were also related to higher work satisfaction. Conclusion: Based on the findings of this study, managemental interventions for nurses to reduce their burnout experience are needed. Further study in this area is warranted.

• Korea Trade Review
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• v.47 no.5
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• pp.21-37
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• 2022

Baltic Dry Index (BDI) is difficult to forecast because of the high volatility and complexity. To improve the BDI forecasting ability, this study apply Bayesian variable selection method with a large number of predictors. Our estimation results based on the BDI and all predictors from January 2000 to September 2021 indicate that the out-of-sample prediction ability of the ADL model with the variable selection is superior to that of the AR model in terms of point and density forecasting. We also find that critical predictors for the BDI change over forecasts horizon. The lagged BDI are being selected as an key predictor at all forecasts horizon, but commodity price, the clarksea index, and interest rates have additional information to predict BDI at mid-term horizon. This implies that time variations of predictors should be considered to predict the BDI.

• Journal of Korean Academy of Nursing
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• v.36 no.4
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• pp.621-629
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• 2006

Purpose. The purpose of this study was to identify the clinical variables that predict functional and cognitive recovery at 1- and 6-month in both severe and moderate/mild traumatic brain injury patients. Methods. The subjects of this study were 82 traumatically brain-injured patients who were admitted to a Neurological Intensive Care Unit at a university hospital. Potential prognostic factors included were age, motor and pupillary response, systolic blood pressure, heart rate, and the presence of intracranial hematoma at admission. Results. The significant predictors of functional disability in severe traumatic brain injury subjects were, age, systolic blood pressure, the presence of intracranial hematoma, motor response, and heart rate at admission. In moderate/mild traumatic brain injury patients, motor response, abnormal pupil reflex, and heart rate at admission were identified as significant predictors of functional disability. On the other hand, the significant predictors of cognitive ability for severe traumatic brain injury patients were motor response and the presence of intracranial hematoma at admission, whereas those for moderate/mild patients were motor response, pupil reflex, systolic blood pressure at admission, and age. Conclusions. The results of the present study indicate that the significant predictors of TBI differ according to TBI severity on admission, outcome type, and outcome measurement time. This can be meaningful to critical care nurses for a better understanding on the prediction of brain injury patients. On the other hand, the model used in the present study appeared to produce relatively low explicabilities for functional and cognitive recovery although a direct comparison of our results with those of others is difficult due to differences in outcome definition and validation methods. This implies that other clinical variables should be added to the model used in the present study to increase its predicting power for determining functional and cognitive outcomes.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.25-30
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• 2016

It is critical to forecast the maximum daily and monthly demand for power with as little error as possible for our industry and national economy. In general, long-term forecasting of power demand has been studied from both the consumer's perspective and an econometrics model in the form of a generalized linear model with predictors. Time series techniques are used for short-term forecasting with no predictors as predictors must be predicted prior to forecasting response variables and containing estimation errors during this process is inevitable. In previous researches, seasonal exponential smoothing method, SARMA (Seasonal Auto Regressive Moving Average) with consideration to weekly pattern Neuron-Fuzzy model, SVR (Support Vector Regression) model with predictors explored through machine learning, and K-means clustering technique in the various approaches have been applied to short-term power supply forecasting. In this paper, SARMA and intervention model are fitted to forecast the maximum power load daily, weekly, and monthly by using the empirical data from 2011 through 2013. $ARMA(2,\;1,\;2)(1,\;1,\;1)_7$ and $ARMA(0,\;1,\;1)(1,\;1,\;0)_{12}$ are fitted respectively to the daily and monthly power demand, but the weekly power demand is not fitted by AREA because of unit root series. In our fitted intervention model, the factors of long holidays, summer and winter are significant in the form of indicator function. The SARMA with MAPE (Mean Absolute Percentage Error) of 2.45% and intervention model with MAPE of 2.44% are more efficient than the present seasonal exponential smoothing with MAPE of about 4%. Although the dynamic repression model with the predictors of humidity, temperature, and seasonal dummies was applied to foretaste the daily power demand, it lead to a high MAPE of 3.5% even though it has estimation error of predictors.

• Journal of Korean Academy of Nursing
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• v.29 no.3
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• pp.585-595
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• 1999

The purpose of this study was to examine the predictors of burnout among informal caregivers of older adults. One hundred thirty seven caregivers who had provided care to older adults over 60 years of age for more than one month were included in the study. Most of the caregivers were white (91%) and female (78%). Mean ages of the caregivers were 64 years and 78% of them were married. Seventy percent of the older adults suffered from Alzheimer and related disease. In this study, caregivers reported that they experienced burnout once a month. The scores of emotional exhaustion and reduced personal accomplishment of the caregivers were in the moderate burnout range. To examine the predictors of burnout, discriminant analysis was used. Caregivers were divided by two groups based on the sum of scores (cutpoint＝6) on three dimensions of burnout after each dimension was categorized into high(3), moderate(2), and low(1). Nine predictors were included in the analysis : Caregiver's age, employment status, Instrumental Activities of Daily Living (IADL) of the older adult, presence of dementia of the older adult, caregiver's empathy toward the older adult (emotional and cognitive), and 3 coping strategies (negative, problem-focused, cognitive reconstructioning). Caregivers who reported high burnout showed higher cognitive empathy toward the older adults than those who showed low burnout. Caregivers who experienced high burnout used negative coping more often, and cognitive reconstructioning coping and problem focused coping less often than their counterparts. Wilks' Lambda was .78 indicating that differences between the two groups were significant. Cognitive empathy and cognitive reconstructioning coping showed high standardized canonical discriminat function coefficients over .40. Discriminant function with 9 predictors correctly classified 71% of the sample. In conclusion, informal caregivers also experienced certain level of burnout. Cognitive empathy and coping strategies predicted burnout experience of the caregivers. Based on this study, nursing intervention to the informal caregivers to improve their cognitive empathy toward the older adults and to modify their coping strategies in a way to reduce burnout experience can be applied. Further research to develop effective nursing interventions for the purpose of reducing burnout experience by modifying predictors was suggested.

• Journal of Korean Neurosurgical Society
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• v.45 no.6
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• pp.341-349
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• 2009

Objective : The purpose of this study was to identify independent predictors of mortality and functional recovery in patients with primary intracerebral hemorrhage (PICH) and to improve functional outcome in these patients. Methods : Data were collected retrospectively on 585 patients with supratentorial PICH admitted to the Stroke Unit at our hospital between 1st January 2004 and the 31st July 2008. Using multivariate logistic regression analysis, the associations between all selected variables and 30-day mortality and 90-day functional recoveries after PICH was evaluated. Results : Ninety-day functional recovery was achieved in 29.1% of the 585 patients and 30-day mortality in 15.9%. Age (OR=7.384, p=0.000), limb weakness (OR=6.927, p=0.000), and hematoma volume (OR=5.293, p=0.000) were found to be powerful predictors of 90-day functional recovery. Furthermore, initial consciousness (OR=3.013, p=0.014) hematoma location (lobar, OR=2.653, p=0.003), ventricular extension of blood (OR=2.077, p=0.013), leukocytosis (OR=2.048, p=0.008), alcohol intake (drinker, OR=1.927, p=0.023), and increased serum aminotransferase (OR=1.892, p=0.035) were found to be independent predictors of 90-day functional recovery after PICH. On the other hand, a pupillary abnormality (OR=4.532, p=0.000) and initial unconsciousness (OR=3.362, p=0.000) were found to be independent predictors of 30-day mortality after PICH. Conclusion : The predictors of mortality and functional recovery after PICH identified during this analysis may assist during clinical decision-making, when advising patients or family members about the prognosis of PICH and when planning intervention trials.

• Nutrition Research and Practice
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• v.13 no.5
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• pp.415-424
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• 2019

BACKGROUND/OBJECTIVES: Existing evidence on lifestyle modification programs for weight loss is limited by the high attrition rate of such programs. Identifying predictors of adherence to a lifestyle modification program could result in program improvement. However, little is known about behavior-specific adherence and its psychological predictors. This study aimed to examine the psychological predictors of adherence after one-month participation in a community-based lifestyle modification program among Chinese overweight and obese adults in Hong Kong. SUBJECTS/METHODS: A total of 205 Chinese overweight and obese adults aged $38.9{\pm}10.5years$ completed the study. Data were collected at baseline and after one month using self-reported questionnaires, which assessed knowledge (self-developed scale), motivation (Treatment Self-Regulation Questionnaire), stage of change (Stage of Exercise Scale) and self-efficacy (Self-Rated Abilities for Health Practices Scale). At one month, a 4-day dietary recall and the International Physical Activity Questionnaire-Short Form were used to assess dietary and physical activity (PA) adherence. Food and PA diaries were examined to indicate self-monitoring. Program attendance was tracked between baseline and one-month follow-up. RESULTS: After one month, participants reported high dietary adherence, attendance, and adherence to self-monitoring but low PA adherence. Multiple regression analyses suggested that diet self-efficacy (baseline) and nutrition knowledge (one-month change) were independent predictors of dietary adherence score at one month, whereas autonomous PA motivation (baseline) and PA self-efficacy (both baseline and one-month change) were independent predictors of PA adherence score at one month. No significant psychological predictor was identified for attendance or self-monitoring. CONCLUSIONS: The results suggest that the effect of psychological factors on adherence differs between diet and PA adherence outcomes. To promote adherence, practitioners should assess self-efficacy, knowledge, and motivation at the beginning of a weight-loss program and explore behavior-specific strategies to improve knowledge and self-efficacy. The results of this study have direct implications for program improvements.

• Journal of Korean Medicine for Obesity Research
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• v.19 no.1
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• pp.42-55
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• 2019

Objectives: Acceptability of patients towards obesity treatment program is associated with better weight loss outcomes. The purpose of this study was to review previously published study results of the predictive factors associated with patients' acceptability in obesity treatment. Methods: Authors searched for the articles related to acceptability reported as continuation, attendance and adherence, published from 2011 to 2018 found on Pubmed, Scopus, Research Information Sharing Service, and Koreanstudies Information Service System. A total of 23 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to detail categories. Results: Regarding the continuation of the treatment, unchangeable factors such as younger age, lower educational level, male sexuality and lower accessibility to physical activity predicted lower continuation. Furthermore, changeable factors such as early and half weight loss, better accessibility to the treatment and financial incentives for retention predicted higher continuation rate. Greater degree of attendance was predicted by unchangeable factors such as economical affordability, and changeable predictors such as half weight loss and proximity to the clinic. Main factors of adherence to the recommendation were unchangeable predictors such as weight loss experience, and changeable predictors such as more physical activity and appropriate dietary habits. Negative psychological state predicted lower continuation, attendance and adherence rate. Conclusions: Our review results suggest that unchangeable and changeable predictors of acceptability of patients should be carefully examined during treatments of obesity.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.3
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• pp.328-339
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• 2022

Purpose: This study was conducted to identify the mental health status of Korean adults during the COVID-19 pandemic and to verify the predictors and mediating effects of avoidance coping on the relationship between the intolerance of uncertainty and anxiety and the intolerance of uncertainty and depression. Methods: An online survey was completed by 191 Korean adults from 19 to 64 years old. Using the IBM SPSS Win 19.0 program, the data were analyzed through the frequency, mean, t-test or analysis of variance, Pearson's correlation coefficient, linear regression analysis and Sobel test. Results: Of the survey respondents 21.5%, and 33.5% respectively were classified into anxiety and depression risk groups. The predictors of anxiety were intolerance of uncertainty (β=.52), avoidance coping (β=.21), and response efficacy (β=-.15). Those variables explained 47.7% of the respondents' anxiety. The predictors of depression were intolerance of uncertainty (β=.40), avoidance coping (β=.20), and response-efficacy (β=-.12). These variables explained 34.9% of the participants' depression. Among the predictors of anxiety and depression, avoidance coping was the significant mediating variable. Conclusion: The predictors of anxiety and depression during the COVID-19 pandemic were revealed to be intolerance of uncertainty, avoidance coping, and response-efficacy. These results indicate the necessity of providing the cognitive interventions and reducing the use of avoidance coping strategies on a personal level. Community-level efforts, including early detection and health communication strategies, should prioritize risk groups for example young adults. The study suggests it will be necessary to provide sufficient information, psychological support and economic policy alternatives related to the COVID-19 pandemic on the national level.

• Journal of Korean Academy of Nursing
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• v.35 no.8
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• pp.1433-1442
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• 2005

Purpose. The purposes of this study were 1) to examine the differences in suicidal ideation and psychological variables by gender, 2) compare the contribution of demographic-behavioral variables and psychosocial variables in explaining the variance in suicidal ideation, and 3) identify the most important predictors of suicidal ideation for male adolescents and female adolescents. Methods. The subjects consisted of 271 male adolescents and 230 female adolescents. Data were collected through self-report questionnaires, which were constructed to include SSI-C, DEP subscale of the SCL-90-R, PACI, and SWLS. The data were analyzed by the SPSS/WIN program. Results. Suicidal ideation differed by gender. Depression and family communication differed by gender. The unique contribution of demographic-behavioral variables and psychosocial variables in explaining the variance in suicidal ideation differed between male adolescents and female adolescents. The significant predictors of suicidal ideation for male adolescents were life satisfaction, depression, and family communication, explaining $28\%$ of the variance in suicidal ideation. The significant predictors of suicidal ideation for female adolescents were depression, smoking, and life satisfaction, explaining $38\%$ of the variance in suicidal ideation. Conclusion. The findings of this study suggest that the approach to effective suicide prevention program for adolescents should consider gender differences.