• Clinical and Experimental Emergency Medicine
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• v.5 no.4
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• pp.230-239
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• 2018

Objective The suicide rate in South Korea is very high and is expected to increase in coming years. Intoxication is the most common suicide attempt method as well as one of the common reason for presenting to an emergency medical center. We used decision tree modeling analysis to identify predictors of risk for suicide by intentional intoxication. Methods A single-center, retrospective study was conducted at our hospital using a 4-year registry of the institute from January 1, 2013 to December 31, 2016. Demographic factors, such as sex, age, intentionality, therapeutic adherence, alcohol consumption, smoking status, physical disease, cancer, psychiatric disease, and toxicological factors, such as type of intoxicant and poisoning severity score were collected. Candidate risk factors based on the decision tree were used to select variables for multiple logistic regression analysis. Results In total, 4,023 patients with intoxication were enrolled as study participants, with 2,247 (55.9%) identified as cases of intentional intoxication. Reported annual percentages of intentional intoxication among patients were 628/937 (67.0%), 608/1,082 (56.2%), 536/1,017 (52.7), 475/987 (48.1%) from 2013 to 2016. Significant predictors identified based on decision tree analysis were alcohol consumption, old age, psychiatric disease, smoking, and male sex; those identified based on multiple regression analysis were alcohol consumption, smoking, male sex, psychiatric disease, old age, poor therapeutic adherence, and physical disease. Conclusion We identified important predictors of suicide risk by intentional intoxication. A specific and realistic approach to analysis using the decision tree modeling technique is an effective method to determine those groups at risk of suicide by intentional intoxication.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.26 no.4
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• pp.181-192
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• 2023

Purpose: The development of assistive devices has allowed for the performance of capsule endoscopy in children. Anticipating the capsule's transit time could affect the efficacy of the investigation and potentially minimize the fasting period. This study determined the predictors of small bowel transit time for small-bowel capsule endoscopy in children and adolescents with inflammatory bowel disease. Methods: We retrospectively examined children and adolescents with inflammatory bowel disease who underwent capsule endoscopy by the age 18 at a Japanese tertiary care children's hospital. Small bowel transit time predictors were analyzed using multiple regression with explanatory variables. Results: Overall, 92 patients, aged 1-17 years, with inflammatory bowel disease (63 Crohn's disease and 29 ulcerative colitis cases) were examined for factors affecting small bowel transit time. In the simple regression analysis, diagnosis, age, height, weight, serum albumin, general anesthesia, and small intestine lesions were significantly associated with small bowel transit time. In the multiple regression analyses, serum albumin (partial regression coefficient: -58.9, p=0.008), general anesthesia (partial regression coefficient: 127, p<0.001), and small intestine lesions (partial regression coefficient: 30.1, p=0.037) showed significant associations with small bowel transit time. Conclusion: Hypoalbuminemia, the use of general anesthesia for endoscopic delivery of the capsule, and small intestine lesions appeared to be predictors of prolonged small bowel transit time in children and adolescents with inflammatory bowel disease. Expecting the finishing time may improve examination with a fasting period reduction, which benefits both patients and caregivers.

• Korean Journal of Adult Nursing
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• v.17 no.1
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• pp.100-108
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• 2005

Purpose: The purpose of this study was to identify predictors of quality of life in burn patients. The predictors of quality of life were the subject's characteristics(marriage, income, burn size, burn site, pain and functional limitation) and personal resources(self esteem and social support). Method: 96 burn subjects who were hospitalized participated in the study. The data analysed was with descriptive analysis, ANOVA, Pearson correlation coefficient and multiple regression. Result: Burn patients who had a spouse and had higher levels of income, with smaller size of burn, no arm burn, with lower levels of pain and functional limitation, plus higher levels of self esteem and social support reported higher levels of quality of life(R2=0.5229). Conclusion: Based on the finding of this study, development of nursing intervention programs including reduction of pain and functional limitation, enhancing self esteem and social support can be suggested.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.3
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• pp.21-31
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• 2020

The study examined information retrieval tools as predictors for information resources utilization, four research questions, and four hypotheses were made to guide the study. A descriptive survey was adopted for the study. Random sampling technique was used to select sample of 393 from a population of 557 academic staff registered in the University of Port Harcourt library. The questionnaire was adopted as a data collection instrument titled Information retrieval as predictors for information resources utilization (IRPIRUQ). Data were analyzed using both simple and multiple regression while analysis of variance (ANOVA) associate with regression was used for testing the hypotheses at 0.05 alpha level. The study revealed that information resources are under utilized as the OPAC and Online Databases are not easily accessed. Further findings showed that the academic staff made use of internet search engines more often than the OPAC and online databases. It was recommended among others that a new library software be installed in place of KOHA for wider connectivity and adequate distribution of software that will aid usage of the online databases and OPAC.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.199-209
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• 2020

This study was a descriptive study performed to identify factors affecting medical satisfaction in multicultural members. The survey participants were 301 multicultural members in A city. The data were analyzed using descriptive statistics and Independent t-tests, One-way ANOVA, and Stepwise multiple regression analysis with the SPSS 14.0 program. Stepwise multiple regression analysis revealed that the predictors of satisfaction among the medical staff were satisfaction with age and health insurance, which accounted for 28% of all variance. Predictors of satisfaction with the medical environment were age and jobs, which accounted for 17% of all variance. Predictors of satisfaction with medical expenses were multicultural form, educational level, and jobs, which accounted for 33% of all variance. These results suggest that we need to develop and implement strategies and programs that can enhance satisfaction with medical use among multicultural members.

• Journal of Oral Medicine and Pain
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• v.41 no.3
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• pp.118-125
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• 2016

Purpose: The aims of this study were to evaluate the clinical characteristics of patients with altered sensation and/or pain, and to determine outcome predictors affecting persistent neuropathy. Methods: Patients who complained an altered sensation or pain following trigeminal nerve trauma were involved in this study. To determine outcome predictors affecting persistent neuropathy, the patients were divided into two groups; transient vs. persistent, and the clinical phenotypes are compared between groups. Data were analyzed with t-tests, chi-square, and multiple regression analyses with 95% confidence interval and p<0.05 significance level. Results: A total of 111 patients were included: 23 with transient and 88 persistent groups. The panoramic result and pin-prick test score were statistically different between the groups. Radiating symptoms after blunt and pinprick stimuli were also significantly different between groups. The results revealed that the presence of a neurologic lesion in the panoramic view result, reduced sensation in the pinprick test, and radiation in the pinprick test could affect the persistent group. Conclusions: The presence of a neurologic lesion in panoramic view result and reduced sensation and radiating symptoms in the pin prick test would be defining features of one of the main clinical features of persistent neuropathy. These features could serve as outcome predictors diagnosing the permanent nerve injury in trigeminal nerve.

• Journal of Families and Better Life
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• v.27 no.6
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• pp.1-12
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• 2009

The purpose of the study is to investigate developmental changes in the effect of sociocultural factors towards appearance, body mass index and self-esteem on body image. Participants were 315elementary school, 305middle school students, 310hight school students and 346college students from Seoul and Gyeonggi Province. Collected data were analyzed through Cronbach's $\alpha$, Two-way ANOVA, Pearson's correlation, and stepwise multiple regression. The findings of the study were as follows: 1) Sociocultural factors towards appearance, body mass index, self-esteem and body image differed by grade and gender. 2) Peers, self-esteem, BMI and mass media were significant predictors of elementary school students' body image. Mass media, BMI and self-esteem were significant predictors of middle school students' body image. Self-esteem, peers, BMI, gender and mass media were significant predictors of high school students' body image. Self-esteem, mass media and BMI were significant predictors of college students' body image.

• Asian Oncology Nursing
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• v.12 no.4
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• pp.280-288
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• 2012

Purpose: The aim of this study was to analyze the differences in psychosocial adjustment between younger (age${\leq}50$) and older (age>50) breast cancer survivors, and to explore the role of sociodemographic and disease-related variables in predicting psychosocial adjustment between younger and older breast cancer survivors. Methods: A total of 262 women participated in this study. A self-reported questionnaire, the Psychosocial Adjustment to Illness Scale-Self Report Korean version (PAIS-SR Korean version), was used. Data were analyzed with SAS/WIN 9.1 for descriptive statistics using the t-test, ANOVA, and stepwise multiple regression. Results: The psychosocial adjustment score of younger breast cancer survivors was significantly higher than that of older breast cancer survivors. Significant predictors influencing psychosocial adjustment in younger breast cancer survivors were marital state, menopausal cause, immune therapy, and self-help group, and these predictors account for 48% of the variance in psychosocial adjustment. Significant predictors influencing psychosocial adjustment in older breast cancer survivors were stage of cancer, monthly income, marital state, and menopausal cause. These predictors accounted for 35% of the variance in psychosocial adjustment. Conclusion: The findings indicate the importance of counseling and educational programs to improve the psychosocial adjustment according to breast cancer survivors' age.

• Journal of the Korean Society of Costume
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• v.13
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• pp.123-134
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• 1989

The purpose of this study was to identify the predictable variables of criteria on clothing selection. Relationships among criteria on clothing selection, psychological variable, lifestyle variable, and demographic variable were tested by Pearsons' correlation coefficients and One-way ANOVA. The predictors of criteria on clothing selection were identified by Regression. The consumers were classified into several benefit-segments by criteria on clothing selection, and then, the character of each segment were identified by Multiple Discriminant Analysis. Data was obtained from 593 women living in Pusan by self-administered questionnaires. The results of the study were as follows; 1. Relationship between criteria on clothing selection and relative variables. 1) The important variables to criteria on clothing selection were "down-to-earth-sophisticated", "traditional-morden", "conventional-different", "conscientious-expendient", need for exhibitionism, need for sex, fashion / appearance. 2) The important factor of clothing selection criteria was comfort and it has significant difference among ages. 3) The higher of social-economic status have the more appearance-oriented selection. 2. Predictors of criteria on clothing selection. There were several important predictors of criteria on clothing selection like lifestyle, need, and self-image. Especially, fashion / appearance in lifestyle variable was very important. 3. Segmentation by the criteria on clothing selection. There are four groups Classified by the criteria on clothing selection, that is practical-oriented group, appearance-oriented group, practical and appearance-oriented group, and indifference group. The significant discriminative variables were Fashion / appearance factor, need for exhibitionism, and need for sex. The result of this study can be used for a enterprise to analysis the consumer and to build the strategy of advertisement clothing.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.134-134
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• 2022

Streamflow forecasting plays a crucial role in water resource control, especially in highly urbanized areas that are very vulnerable to flooding during heavy rainfall event. In addition to providing the accurate prediction, the evaluation of effects and importance of the input predictors can contribute to water manager. Recently, machine learning techniques have applied their advantages for modeling complex and nonlinear hydrological processes. However, the techniques have not considered properly the importance and uncertainty of the predictor variables. To address these concerns, we applied the GA-BART, that integrates a genetic algorithm (GA) with the Bayesian additive regression tree (BART) model for hourly streamflow forecasting and analyzing input predictors. The Jungrang urban basin was selected as a case study and a database was established based on 39 heavy rainfall events during 2003 and 2020 from the rain gauges and monitoring stations. For the goal of this study, we used a combination of inputs that included the areal rainfall of the subbasins at current time step and previous time steps and water level and streamflow of the stations at time step for multistep-ahead streamflow predictions. An analysis of multiple datasets including different input predictors was performed to define the optimal set for streamflow forecasting. In addition, the GA-BART model could reasonably determine the relative importance of the input variables. The assessment might help water resource managers improve the accuracy of forecasts and early flood warnings in the basin.