• Women's Health Nursing
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• v.17 no.2
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• pp.137-147
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• 2011

Purpose: This study was done to examine mothers' acceptance and its influencing factors in daughters' human papillomavirus (HPV) vaccination to prevent cervical cancer. Methods: From July 20 to August 31, 2010, 220 mothers of unmarried daughters responded to self-administered questionnaires about their acceptance of HPV vaccination for their daughters and the optimal age for HPV vaccination. Descriptive statistics, univariate logistic and multiple logistic regression were used for data analysis with SPSS/WIN 12.0. Results: Mothers indicating their willingness to pay for their daughters to receive HPV vaccination accounted for 61.8%, and willingness with health insurance coverage, 84.5%. Mean optimal age for HPV vaccination was $19.78{\pm}3.96$) years. With self-payment the factor influencing mothers willingness was necessity of HPV vaccination (OR= 30.45, 95% CI=10.33~89.15). With health insurance coverage, income (OR=3.02, 95% CI: 1.19~7.62), necessity of HPV vaccination (OR=15.05, 95% CI=4.15~54.64), concern about HPV vaccine safety (OR=2.99, 95% CI=1.15~7.76), and experience of Pap test (OR=3.16, 95% CI=1.24~8.05) were factors influencing mothers willingness. Other influencing factors were optimal age for HPV vaccination, knowing about HPV (OR=7.66, 95% CI=2.19~26.82), and age of youngest daughter (OR=3.95, 95% CI=1.34~11.68). Conclusion: Financial support is anticipated for low income families in a primary approach to increase HPV vaccination. And focusing on earlier age and concerns about vaccination are necessary to gain mothers' acceptance.

• Korean Journal of Adult Nursing
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• v.28 no.1
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• pp.43-52
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• 2016

Purpose: The aim of this study was to identify demographic, clinical, physical, and psychosocial factors affecting discharge delay in lumbar spinal surgery patients who were treated according to a critical pathway. Methods: A sample of 170 patients with lumbar spinal surgery agreed to participate in the study, between April 1, 2014 and August 30, 2015. Data were analyzed by mean, standard deviation, t-test, ${\chi}^2$-test, ANCOVA, and logistic regression analysis using SPSS 22.0 program. Results: Approximately fifty-nine percent of the participants was delayed discharge. On logistic regression analysis, female gender (OR=2.63, 95% CI=1.40~4.94), age (OR=1.03, 95% CI=1.01~1.05), spondylolisthesis (OR=4.49, 95% CI=1.90~10.61), and spinal fusion operation (OR=4.14, 95% CI=1.89~9.05) were significant factors predicting discharge delay of the participants. However, discharge delay was not related with pain, physical function, depression, or family support. Conclusion: An analysis of discharge delay may assist in evaluating and revising critical pathway for optimal care. In addition, nurses need to understand the factors affecting discharge delay of the given population who were treated according to a critical pathway.

• Journal of Korean Academy of Nursing
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• v.43 no.2
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• pp.225-235
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• 2013

Purpose: This prospective cohort study was done to investigate recall bias to antepartum variables measured at postpartum periods and predictors of postpartum depression. Methods: Participants were 215 women who answered a self-administered questionnaire which included demographics, Postpartum Depression Predictors Inventory-Revised and Korean version of Edinburgh Postpartum Depression Scale at antepartum 36-40 weeks and postpartum 2 weeks and 6 weeks. Data were analyzed using kappa, and hierarchical multiple logistic regression. Results: Agreement between antepartum variables at both antepartum and two postpartum periods was relatively high (${\kappa}$=.55- .95). Postpartum depression rates were 36.3% and 36.7% at two follow-up points. In hierarchical multiple logistic regression analysis, prenatal depression (OR=4.32, 95% CI: 1.41-13.19; OR=5.19, 95% CI: 1.41-19.08), social support (OR=1.40, 95% CI: 1.18-1.66; OR=1.27, 95% CI: 1.06-1.53) and maternity blues (OR=4.75, 95% CI: 1.89-11.98; OR=4.22, 95% CI: 1.60-11.12) were commonly associated with postpartum depression at two follow-up points. Child care stress (OR=1.85, 95% CI: 1.01-3.37) was only associated with postpartum depression at 2 weeks postpartum and pregnancy intendedness (OR=1.57, 95% CI: 1.09-2.27) was only associated with postpartum depression at 6 weeks postpartum. Conclusions: The results indicate a need to apply nursing interventions such as prenatal education and counseling with families from antenatal period.

• Journal of Trauma and Injury
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• v.23 no.2
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• pp.180-187
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• 2010

Purpose: The "golden hour" concept in trauma is pervasive despite little evidence to support it. This study addressed the association between prehospital time and in-hospital mortality in seriously injured abdominal trauma victims. Methods: A retrospective study was conducted over a three-year period from 2006 to 2008. We analyzed trauma victims with abdominal injuries who underwent an emergency laparotomy in a local emergency center located in a city with a population of 2,500,000. According to the 'golden hour' oncept, we separated the trauma victims into two groups (Gourp 1: prehospital time ${\leq}$ 1 hour, Group 2: prehospital time > 1hour) and investigated several factors, such as time, process, and outcome. Results: During the period from January 2006 to December 2008 139 trauma victims underwent an emergency laparotomy, and 89 of them were enrolled in this study. Between the two groups, emergency department (ED) access, transportation, and injury mechanism showed statistically meaningful differences, but no statistically meaningful differences were observed in various measures of the outcome, such as length of hospital stay, length of Intensive Care Unit stay, and mortality. In a univariate logistic regression study, age (odds ratio [OR]: 1.101; 95% confidence interval [CI]: 1.026 to 1.182), Revised Trauma Score (RTS) (OR: 0.444; 95% CI 0.278 to 0.710), hemoglobin (OR: 0.749; 95% CI: 0.585 to 0.960), and creatinine (OR: 24.584; 95% CI: 2.019 to 299.364) were significant prognostic factors, but prehospital time was not. In a multivariate logistic regression study, age and RTS were significant associated with mortality. Conclusion: In this study, we found no association between prehospital time and mortality among abdominal trauma patient who underwent an emergency laparotomy. We suggest that in our current out-of-hospital and emergency care system, until arrival at the hospital time may be less crucial for trauma victims than once thought.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.8-17
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• 2014

In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team's records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(= 3 datasets${\times}$7 techniques) prediction scenarios, the most accurate model was obtained from the random forest technique based on the binary dataset, which prediction accuracy was 84.14%. It was also observed that using the ratio and the binary dataset helped to build better prediction models than using the raw data. From the capability of variable selection in decision tree, random forest, and stepwise logistic regression, we found that annual salary, earned run, strikeout, pitcher's winning percentage, and four balls are important winning factors of a game. This research is distinct from existing studies in that we used three different types of data and various data mining techniques for win-loss prediction in Korean professional baseball games.

• Journal of Korean society of Dental Hygiene
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• v.17 no.5
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• pp.899-910
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• 2017

Objectives: This study was conducted to identify the rates of perceived stress of elderly people over 65 years old and to confirm the influence of stress on general health and oral health status. Methods: Using data from the National Health and Nutrition Survey for 2014, 1,472 people over 65 years of age were selected as final subjects. Stress was used as an independent variable and dependent variables were included physical health (perceived health status), mental health (depression), and oral health (perceived oral health status). The following confounding variables were adjusted for the current study: demographic characteristics (gender, age, education level, house income) and health - related characteristics (drinking, smoking, exercise, frequency of tooth brushing, using oral care product, dental exam, comorbidity, restrict activity). Complex sampling analysis was applied and logistic regression was performed to determine the effects of stress on physical health, mental health and oral health status. Odds ratio (OR) and 95% confidence interval (95% Confidence Interval, 95% CI) were calculated. Results: Logistic regression indicated that stress was significantly associated with low physical health (OR=2.18, 95%CI: 1.49-3.20), low mental health (OR=8.68, 95%CI: 4.98-15.11), low oral health (OR=1.53, 95%CI: 1.06-2.21) after adjusting for confounding variables. Conclusions: The perceived stress of the elderly was found to be related to the general health and oral health status. Therefore, it is necessary to evaluate stress as a predictor of health risk for the health promotion of the elderly on multidisciplinary assessment and continuous evaluation. In addition, health support policies should be provided to achieve good health status for elderly.

• Journal of Korean Society of Rural Planning
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• v.26 no.3
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• pp.1-12
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• 2020

The purpose of this study is to analysis the influence of fishing villages experience programs choice by the tourist characteristics. As an analysis method, a statistical technique of multinomial logistic regression was used. The dependent variable have typified about 70 fishing experience programs, such as tidal-flat experience, fishery experience, and fishing experience, operated by the fishing village experience recreation villages into 9 programs. The independent variables consisted of 7 groups of people: gender, age, marital status, presence of children, experience of visiting a village in a rural and fishing village experience, preference of a village in a recreational experience, and recognition of a village in a fishing village experience. As a result of analysis, no significant differences were found that the selection group preferring 'fishing culture experience', 'leports experience', 'ecological craft experience', and 'festival and event experience' in the selection of fishing village experience program compared to the group choosing 'rural experience'. On the other hand, the group preferring 'tidal flat experience' analysis that 'married' is about 14 times higher than 'unmarried', and the group preferring 'fishing village experience' is 9.55 times higher than the group preferring 'rural village experience'. In the group preferring 'fishery experience' and 'fishing experience', the group preferring 'fishing experience recreation village' was 9.21 times and 14.34 times higher than the group preferring 'rural experience recreation village'. In the 'food experience', 'married' was 25 times higher than 'unmarried'.

• Women's Health Nursing
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• v.16 no.2
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• pp.126-136
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• 2010

Purpose: This study was done to evaluate factors affecting active early detection behaviors of breast cancer and performance rate of breast self examination (BSE), physical examination and mammography. Methods: The participants were 264 women from an outpatient breast clinic of a university hospital and materials were collected from March 2007 to February 2008 using a structured questionnaire. The data were analyzed using $x^2$ test, logistic analysis. Results: The rate for BSE was 58.3%, for physical examination, 55.3% and for mammography experience, 63.4%. Women with all of these active early detection behaviors accounted for 31.8% of the participants. Various factors such as age, income, marital status, and menopause showed increased significant performance rate. The explanation power of logistic model was 48.5%, and was significant for age, income and health belief. Factors related to high performance rate were being over 40 years of age, high income and high health belief score. Conclusion: Active early detection behaviors were not high in spite of marked increases in breast cancer incidence. Encouragement for women practicing early detection behavior is important, but there is also a need to develop interest and support for the low performance group. More sustained education and public relations are needed to further improve active early detection behavior.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.251-262
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• 2018

The purpose of this study is to identify factors influencing college students' career decision. For this purpose, 673 college students in four - year colleges in Seoul, Gyeonggi- do, and Chungcheong - do were surveyed and analyzed. The main results are as follows. First, sexes did not show significant difference between career decision group and career indecision group. Second, logistic regression analysis was conducted to analyze the effects of variables affecting career decision. Grade, major satisfaction, and career development competencies were variables that had a significant effect on career decision of college students. However, academic achievement, college students' adjustment, and career adaptability were not significant variables. These results suggest that in order to support career decision of college students, it is necessary to increase students majors satisfaction and improve career development capability.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.113-132
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• 2021

This study is a new evaluation using the Arrhenius equation, which is known as the chemical reaction rate estimation equation, to evaluate the intrinsic and extrinsic value elements of patents as a model. The performance of the evaluation model was superior to the SVM, Logistic reg. and ANN models that were used as patent evaluation models in prior studies. In addition, there was a strong correlation between the predicted lifespan of the patent and the actual lifespan of the patent. These evaluation models may be used for evaluation purposes only, or if an evaluation is required, including a commercialization entity or technical characteristics.