• Journal of Korean society of Dental Hygiene
• /
• v.17 no.3
• /
• pp.449-463
• /
• 2017

Objectives: The objective of this study was to identify the relationship between emotional labor and occupational stress of the dental hygienists, and the effects of emotional labor on their occupational stress and health problems including depression, anxiety and sleep. Methods: The survey was conducted using the questionnaires about dental hygienists' working in medical institutions in Busan, Gyeongsangnam-do from August 19th and October 7th, 2016. Total of 225 participants were selected for data analyses. Frequency analysis, t-test, ANOVA, Pearson's correlation coefficient analysis, and regression analysis were conducted using SPSS Windows ver. 21.0 program(SPSS Inc., Chicago, IL. USA). Results: The analysis of the factors affecting emotional labor, occupational stress, anxiety, and sleep by participants' characteristics showed that those with higher education level, work position and annual salary had higher emotional labor. In addition, participants who worked 5 days every other week and were responsible for patient consultation had higher emotional labor. The analysis of correlations among emotional labor occupational stress, anxiety, and sleep showed positive correlations between emotional experience and emotional expression, occupational stress and emotional expression, and anxiety and emotional expression. On the other hand, negative correlation was found between anxiety and emotional experience. Regression analysis was conducted to examine the effect of emotional labor on job stress. Emotional labor was a factor affecting job stress and anxiety. Conclusions: In order to improve emotional control and vulnerability to stress among dental hygienists, intra-organizational training opportunities and mental health care strategies are needed. Additional broad-based studies are required to identify the factors affecting the occupational stress and emotional labor and to develop relevant intervention measures.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.15 no.3
• /
• pp.52-65
• /
• 2012

The net biomass accumulation (or net primary production, NPP) and gross primary production (GPP) have closely related with carbon accumulations(or carbon exchange) in vegetation. There are many approaches to estimate biomass using remote sensing techniques. The vegetation indices (VIs) can be a methodology to estimate biomass which assumes total chlorophyll contents. Various VIs were characterized with difference development conditions as vegetation species, input datasets. The hyperspectral data have also different spatial/spectral resolutions for aerial surveying. Additionally they need particular spectral bands selection difficulty to calculate the VIs. The objective of this study is to evaluate the correlations with airborne hyperspectral data (compact airborne spectrographic imager, CASI) and spectral unmixing model (or spectral mixture analysis, SMA) to characterize vegetation indices in forest area. The spectral mixture analysis was used to model the spectral purity of each pixel as an endmember. The endmembers are the fraction components derived from hyperspectral data through the SMA. In this study, we choose three endmembers represented vegetation pixels in the hyperspectral data. These endmembers were compared with 9 VIs by the Pearson's correlation coefficient. The results show MTVI1 and TVI have same correlation coefficient with 0.877. The MCARI, especially has very high relationship with vegetation endmembers as 0.9061 at less vegetation and soil distributed site. The MTVI1 and TVI have high correlations with the vegetation endmembers as 0.757 in whole test sites.

• Journal of radiological science and technology
• /
• v.46 no.5
• /
• pp.367-377
• /
• 2023

This study investigates the utility of the Triglyceride-glucose(TyG) index and Cardiometabolic Index(CMI) as predictors for diagnosing metabolic syndrome. The study involved 1970 males, 1459 females, totaling 3429 participants who underwent health checkups at P Hospital in Busan between January 2023 and June 2023. Metabolic syndrome diagnosis was based on the presence of 3 or more risk factors out of the 5 criteria outlined by the American Heart Association/National Heart, Lung, and Blood Institute(AHA/NHLBI), and participants with 2 or fewer risk factors were categorized as normal. Statistical analyses included independent sample t-tests, chi-square tests, Pearson's correlation analysis, Receiver Operating Characteristic(ROC) curve analysis, and logistic regression analysis, using the Statistical Package for the Social Sciences(SPSS) program. Significance was established at p<0.05. The comparison revealed that the metabolic syndrome group exhibited attributes such as advanced age, male gender, elevated systolic and diastolic blood pressures, high blood sugar, elevated triglycerides, reduced LDL-C, elevated HDL-C, higher Cardiometabolic Index, Triglyceride-glucose index, and components linked to abdominal obesity. Pearson correlation analysis showed strong positive correlations between waist circumference/height ratio, waist circumference, Cardiometabolic Index, and triglycerides. Weak positive correlations were observed between LDL-C, body mass index, and Cardiometabolic index, while a strong negative correlation was found between Cardiometabolic Index and HDL-C. ROC analysis indicated that the Cardiometabolic Index(CMI), Triglyceride-glucose(TyG) index, and waist circumference demonstrated the highest Area Under the Curve(AUC) values, indicating their efficacy in diagnosing metabolic syndrome. Optimal cut-off values were determined as >1.34, >8.86, and >84.5 for the Cardiometabolic Index, Triglyceride-glucose index, and waist circumference, respectively. Logistic regression analysis revealed significant differences for age(p=0.037), waist circumference(p<0.001), systolic blood pressure(p<0.001), triglycerides(p<0.001), LDL-C(p=0.028), fasting blood sugar(p<0.001), Cardiometabolic Index(p<0.001), and Triglyceride-glucose index (p<0.001). The odds ratios for these variables were 1.015, 1.179, 1.090, 3.03, and 69.16, respectively. In conclusion, the Cardiometabolic Index and Triglyceride-glucose index are robust predictive indicators closely associated with metabolic syndrome diagnosis, and waist circumference is identified as an excellent predictor. Integrating these variables into clinical practice holds the potential for enhancing early diagnosis and prevention of metabolic syndrome.

• Journal of Home Health Care Nursing
• /
• v.26 no.3
• /
• pp.265-277
• /
• 2019

Purpose: This study was performed to explore research trends in the intention to stay of hospital nurses and provide basic data to establish nursing management strategies to increase the intention to stay. Methods: Articles published between 2009 and 2018 were searched. The search terminologies were "intention to stay," "nurse", and "hospital". In the first search, 381 articles were extracted from academic databases. Thirty articles were used in the systematic review, and 29 articles were used in the correlation meta-analysis. Results: Thirty-two variables were explored in relation to the intention to stay. In the correlation analysis, job satisfaction and work environment showed statistically significant positive correlations in many studies. In the correlation meta-analysis, 7 variables including organizational commitment showed statistically significant effect sizes. Conclusion: We suggest that structural equation model analysis to identify causal relations among influencing variables of the intention to stay of hospital nurses may be conducted. This study can be used as a guideline to develop intention-to-stay enhancement programs for hospital nurses.

• Journal of Family Resource Management and Policy Review
• /
• v.23 no.4
• /
• pp.41-56
• /
• 2019

The purpose of this study is to investigate the effects of economic status on the difficulties of family life focusing on the mediating effects of family communication and family ties. A total of 386 people were surveyed, and data from 352 were used for the actual data analysis. For the analysis, technical statistical analysis, correlation analysis, regression analysis, and a Sobel test were conducted. The results were as follows.: First, the correlation analysis confirmed that there are statistically significant correlations among the economic status of households, family communication, family ties, and the difficulties of family life. Second, the economic status of households directly influences the difficulties of family by mediating family communication and family ties. This study identified that family communication and family ties affect the improvement of difficulties in family life. It suggests that improving economic status, promoting communication among family members, and strengthening family ties can help solve the difficulties of family life.

• Transactions of the Korean Society of Machine Tool Engineers
• /
• v.14 no.1
• /
• pp.15-23
• /
• 2005

For reliability assessment for machine tools, failure mode analyses by two viewpoints were studied in this paper. First, this study developed the reliability data analysis program, which searches f3r optimal failure distribution like failure rate or MTBF(Mean Time Between Failure) using failure data and reliability test data of mechanical parts in the web. Moreover, this data analysis program saves both failure data or reliability data and their failure rate or MTBF for database establishment. Second, this paper conducted failure mode analysis through such performance tests as circular movement test and vibration testing for machine tools when reliability data is not available. A developed web-based analysis program shows correlations between failure mode and performance test result and also accumulates all the data. These kinds of data analysis programs and stored data furnish valuable information for improving the reliability of mechanical system.

• Journal of The Korean Digital Architecture Interior Association
• /
• v.10 no.1
• /
• pp.57-63
• /
• 2010

This study examines the correlations of crime-prone locations with the urban space configuration in residential district. CPTED(Crime Prevention Through Environmental Design) is applied to this study and it is intended to control the architectural environment in order to restrain criminal activities. For this reason, an objective analysis for explaining the spatial characteristics of the places where the crimes have occurred is more important than statistical and descriptive approach for analyzing the criminal data. Visibility graph analysis (VGA) supports the CPTED theory in this study for objective interpretation of crime-prone locations and quantitative analysis for built environment. The comparative analysis on object streets and areas are used and the results are followings. The analysis by streets showed that street crimes are correlated with connectivity, control, integration, and integration(r=3) and burglary cases are correlated with control. The analysis by areas showed that street crimes are correlated with connectivity and integration. The T-tests results of crime area and whole area showed that street crimes are correlated with integration and burglary cases have negative correlation with connectivity. Several localized environmental design for crime prevention are also proposed on the basis of this study.

• Korean Journal of Community Nutrition
• /
• v.5 no.4
• /
• pp.662-671
• /
• 2000

The purpose of this study was to analyze university students' perception of service quality attributes in residence hall foodservice. Questionnaires were hand delivered to 1,210 university students residing in a residence hall. A total of 1,011 was usable, resulting in an 83.6% response rate. The survey was conducted between October, 1998 and May, 1999. A statistical data analysis was completed using the SAS/Win 6.12 for Descriptive Analysis, $X^2$-test, t-test, ANOVA, Spearman Correlation, and Common factor Analysis, and Importance- Performance Analysis(IPA) was completed. Significant negative correlations between importance and performance were found with 'abundance of foods'(p < 0.001), 'discontent handling'(p < 0.001), and 'availability of new menus'(p < 0.01). factors including food, menu, sanitation, atmosphere, facilities, employee's attitude, and convenience were rearranged and a new dimension was created with the service. Employee's attitude and service factors received the highest scores in customer perception of importance and performance. Food, menu, and convenience factors were included in Quadrant A. female students had significantly higher importance mean scores than males, while males had significantly higher Performance mean scores. (Korean J Community Nutrition 5(4) : 662~671,2000)

• Nuclear Engineering and Technology
• /
• v.55 no.1
• /
• pp.131-143
• /
• 2023

Constitutive equations in a nuclear reactor safety analysis code are mostly empirical correlations developed from experiments, which always accompany uncertainties. The accuracy of the code can be improved by modifying the constitutive equations fitting wider range of data with less uncertainty. Thus, the sensitivity of the code with respect to the constitutive equations is evaluated quantitatively in the paper to understand the room for improvement of the code. A new methodology is proposed which first starts by dividing the thermal hydraulic conditions into multiple sub-regimes using self-organizing map (SOM) clustering method. The sensitivity analysis is then conducted by multiplying an arbitrary set of coefficients to the constitutive equations for each sub-divided thermal-hydraulic regime with SOM to observe how the code accuracy varies. The randomly chosen multiplier coefficient represents the uncertainty of the constitutive equations. Furthermore, the set with the smallest error with the selected experimental data can be obtained and can provide insight which direction should the constitutive equations be modified to improve the code accuracy. The newly proposed method is applied to a steady-state experiment and a transient experiment to illustrate how the method can provide insight to the code developer.

• International Journal of Human Ecology
• /
• v.6 no.2
• /
• pp.51-61
• /
• 2005

This study investigated the allowance usage practices and factors affecting saving behavior from 291 elementary school students in Susan. Frequency distributions, Pearson product-moment correlations, and logistic regression analysis were conducted by SPSS Windows. Two-fifths of the respondents did not regularly receive allowance. Many parents did not guide what children spent their money on before using it. Children spent their allowances on buying snacks, stationary, and playing in the game room. Only a small number of the respondents kept a record, but many children saved money. On the other hand, in the logistic regression analysis, the significant variables explaining children's saving behavior were parents' guidance before using allowance, record-keeping, and doing household work for an allowance. These results imply that parents are in the best position to give children positive experiences towards financial management.