• Journal of Trauma and Injury
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• v.37 no.2
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• pp.124-131
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• 2024

Purpose: The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma. Methods: A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS. Results: Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33-3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09-1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09-1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.04-1.22], P=0.003). Conclusions: This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.

• Tuberculosis and Respiratory Diseases
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• v.58 no.3
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• pp.230-242
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• 2005

Background : Spirometry should be compared with the normal predictive values obtained from the same population using the same procedures, because different ethnicity and different procedures are known to influence the spirometry results. This study was performed to obtain the normal predictive values of the Forced Vital Capacity(FVC), Forced Expiratory Volume in 1 Second($FEV_1$), Forced Expiratory Volume in 6 Seconds($FEV_6$), and $FEV_1/FVC$ for a representative Korean population. Methods : Based on the 2000 Population Census of the National Statistical Office of Korea, stratified random sampling was carried out to obtain representative samples of the Korean population. This study was performed as a part of the National Health and Nutrition Survey of Korea in 2001. The lung function was measured using the standardized methods and protocols recommended by the American Thoracic Society. Among those 4,816 subjects who had performed spirometry performed, there was a total of 1,212 nonsmokers (206 males and 1,006 females) with no significant history of respiratory diseases and symptoms, with clear chest X-rays, and with no significant exposure to respiratory hazards subjects. Their residence and age distribution was representative of the whole nation. Mixed effect models were examined based on the Akaike's information criteria in statistical analysis, and those variables common to both genders were analyzed by regression analysis to obtain the final equations. Results : The variables affecting the normal predicted values of the FVC and $FEV_6$ for males and females were $age^2$, height, and weight. The variables affecting the normal predicted values of the $FEV_1$ for males and females were $age^2$, and height. The variables affecting the normal predicted values of the $FEV_1/FVC$ for male and female were age and height. Conclusion : The predicted values of the FVC and $FEV_1$ was higher in this study than in other Korean or foreign studies, even though the difference was < 10%. When compared with those predicted values for Caucasian populations, the study results were actually comparable or higher, which might be due to the stricter criteria of the normal population and the systemic quality controls applied to the whole study procedures together with the rapid physical growth of the younger generations in Korea.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.2
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• pp.35-54
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• 2009

The recent economic crisis not only reduces the profit of department stores but also incurs the significance losses caused by the increasing late-payment rate of credit cards. Under this pressure, the scope of credit prediction needs to be broadened from the simple prediction of whether this customer has a good credit or not to the accurate prediction of how much profit can be gained from this customer. This study classifies the delinquent customers of credit card in a Korean department store into homogeneous clusters. Using this information, this study analyzes the repayment patterns for each cluster and develops the credit prediction system to manage the delinquent customers. The model presented by this study uses Kohonen network, which is one of artificial neural networks of data mining technique, to cluster the credit delinquent customers into clusters. Cox proportional hazard model is also used, which is one of survival analysis used in medical statistics, to analyze the repayment patterns of the delinquent customers in each cluster. The presented model estimates the repayment period of delinquent customers for each cluster and introduces the influencing variables on the repayment pattern prediction. Although there are some differences among clusters, the variables about the purchasing frequency in a month and the average number of installment repayment are the most predictive variables for the repayment pattern. The accuracy of the presented system leaches 97.5%.

• Journal of Korean Academy of Nursing
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• v.35 no.2
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• pp.239-251
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• 2005

Purpose: This study was designed to construct a structural model for explaining mental health status in middle - aged women. Methods: The data was collected by self - reported questionnaires from 206 middle - aged women in Seoul. Data analysis was done with the SAS pc program for descriptive statistics and a PC - LISREL Program for finding the best fit model which assumes causal relationships among variables. Results: The overall fit of the hypothetical model to the data was good, but paths and variables of the model were modified by considering theoretical implications and statistical significances of parameter estimates. Thus it was modified by excluding 3 paths, The modified model showed was good fit to the data($x^2=177.55$, p=.00), GFI=0.908, AGFI=0.860, RMR=0.013, NFI=0.972, NNFI=0.982). Perceived stress, anger expression method, and self -esteem were found to have direct effects on mental health status in middle - aged women. These predictive variables of mental health status explained $66.6\%$ of the model. Conclusion: Programs to enhance mental health status in middle - aged women should include stress management skill, anger expression skill, and self -esteem enhancement skills to be effective.

• Journal of Korean Academy of Nursing
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• v.32 no.3
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• pp.355-363
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• 2002

The purpose of this study was to examine the level of intention to quit smoking and to identify factors influencing intention to quit among patients with coronary heart disease. Method: The subjects consisted of 80 male patients with coronary heart disease (angina pectoris, myocardial infarction) at three hospitals in Seoul. The data were collected with self reporting in a structured questionnaire. Stepwise multiple regression was used to identify predictors of intention to quit. Included variables were attitudes toward smoking cessation, subjective norms, perceived behavioral control, usefulness of smoking cessation, and previous attempts to quit. Result: 1. The mean score for intention to quit was 11.1($\pm$6.1) which was lower than median score of the scale. 2. There were significant correlations between the all predictive variables and the intention to quit(r=.24-.48, p<.05). 3. usefulness of smoking cessation, perceived behavioral control, and previous attempts to quit explained 34.6% of the variance for intention to quit. Conclusion: usefulness of smoking cessation, perceived behavioral control, and previous attempts to quit were identified as important variables in explaining the intention to quit smoking among patients with coronary heart disease. Thus, it is necessary to try to enhance this factors for increasing intention to quit among patients with coronary heart disease.

• Journal of the Korean Home Economics Association
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• v.47 no.3
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• pp.87-102
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• 2009

This study was conducted to determine which variables of interest could be used to predict the development of infants. The variables of interest in this study were demographic variables regarding to the infants and mothers, maternal knowledge of infant development, maternal self-efficacy, maternal parenting stress, and infant development. The participants consisted of 252 infant-mother pairs and all infants included in this study were 15 months to 36 months of age. The development of Infants was assessed by classroom teachers. Data regarding the mothers’' demographic information, maternal knowledge of infant development, maternal self-efficacy, and maternal stress were gathered by maternal self-reported questionnaires. Data were analyzed by descriptive statistics, t tests, and regression analyses. The primary results demonstrated that family income, maternal infant knowledge, and maternal parenting stress were predictive of the infant development. In addition, different patterns in the results of the stepwise multiple regression were observed among the infant’'s of different age. Implications for research and practice were discussed along with the results of study.

• Korean Journal of Community Nutrition
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• v.13 no.5
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• pp.723-732
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• 2008

The purpose of this study was to identify the influence of diet related factors, such as diet behaviors, food intake, and nutrient intakes, on self-rated health (SRH). Also, in order to determine fitness of classification for SRH reflecting diet related factors, this study surveyed older adults in Gyeongnam province. A total of 101 responses were collected using the interview survey method. The self- rated health of rural older adults was poor as reported by 49.5%. The level of self-rated health was found to be related to the frequencies of coffee and snack, use of sugar and vegetable in diet, the amount of total food intake, and cholesterol intake. The result of discriminant analysis, which was conducted to assess the adequacy of SRH classification and to determine the class of observation, showed frequency of coffee and use of vegetable in diet among 47 variables as predictive variables for explaining SRH. The fitness of self-rated health function was high to 47.7%. Therefore, diet-related factors were ascertained to be important variables to predict SRH.

• Journal of Families and Better Life
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• v.24 no.4 s.82
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• pp.93-101
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• 2006

This study explored the differences in fathers' involvement in child-rearing according to various family socio-demographic variables (fathers education level, income, mothers employment, preschooler's sex and age) and preschoolers' temperaments and examined the relationship between fathers' involvement in child-rearing and these independent variables (as well as preschooler's temperament). The subjects of the study were 227 fathers whose children were preschoolers between the ages of 3 and 5 attending daycare centers in Keoungbok province, South Korea. Statistical analysis was conducted with the following techniques: two-way ANOVA, interaction effect, Scheffe' test, Pearson's correlation partial correlation, and hierarchical multiple regression (using SPSS 12.0). Results of the study may be summarized as follows. (1) There was a significant difference in fathers' child-rearing involvement according to the fathers' education level, income, and preschoolers' temperaments. (2) There was a significant interaction effect of mothers' employment and preschoolers' temperaments on fathers' child-rearing involvement. (3) Hierarchical multiple regression analysis showed that fathers' education mediated the relationship between income and fathers' involvement in child-rearing, and fathers' education and preschoolers' temperaments was also found to have predictive power over fathers' child-rearing involvement.

• Journal of Ecology and Environment
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• v.35 no.3
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• pp.157-166
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• 2012

Many models intending to explain the latitudinal gradient of increasing species diversity from the poles to the equator are presented, which are a formalisation of the species-energy hypothesis. The model predictions are consistent with patterns of increasing species number with increasing mean air or water temperatures for plants and animals. An increase in species richness is also correlated with net primary production or the Normalised Difference Vegetation Index. This implies that increased availability of resources favours increased diversity capacity. The explanatory variables included in the biodiversity prediction models represent measures of water, energy, water-energy, habitat, history/evolution and biological responses. Water variables tend to be the best predictors when the geographic scope of the data is restricted to tropical and subtropical areas, whereas water-energy variables dominate when colder areas are included. In major models, about 20-35% of species in the various global regions (European, Africa, etc.) will disappear from each grid cell by 2050 and >50% could be vulnerable or threatened by 2080. This study provides good explanations for predictive models and future changes in biodiversity depending on various scenarios.

• Child Health Nursing Research
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• v.13 no.2
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• pp.201-211
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• 2007

Purpose: This study was designed to construct a structural model to explain the quality of life of grandmothers caring for their grandchildren. Method: Data were collected by self-report questionnaires from 232 grandmothers caring for their grandchildren living in Busan. The data collection period was from June to Oct. 2006. Data analysis was done with SAS 9.13 for descriptive statistics and PC-LISREL 8.52 program for Covariance Structural analysis. Results: The findings found that the fit of the hypothetical model to the data was good, but considering theoretical implications and statistical significances of parameter estimates, paths and variables of the model were modified by excluding 2 paths. The Modified Model with 17 paths showed a good fitness to the empirical data ($X^2=15.492$ (df=11, p=.161), GFI=.985 AGFI=.940 NFI=.982 RMSR=.037 RMSEA=.042). Health status, health problems, economical status, life events, caring stress, caring efficacy and life satisfaction had significant effects on quality of life in the grandmother caring their grandchildren, but of these variables, self-esteem was the most essential factor. All predictive variables of quality of life together explained 63.9% of the variance. Conclusion: The derived model in this study was confirmed to be proper in explaining and predicting the quality of life of the grandmothers caring their grandchildren.