• Clinical and Experimental Reproductive Medicine
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• v.51 no.1
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• pp.48-56
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• 2024

Objective: This study investigated the relationship of anthropometric and metabolic risk factors with seminal and sex steroidal hormone parameters in a screened population of healthy males. Methods: The participants were healthy young men without chronic or congenital diseases. The body composition parameters that we investigated were measured weight, height, and waist circumference (WC), as well as bioelectrical impedance analysis. Semen samples were analyzed for semen volume, sperm concentration, sperm motility and morphology, seminal pH, and liquefaction time. Biochemistry analysis, including glucose and lipid metabolism parameters, was conducted on fasting blood samples. Testicular volume was calculated separately for each testis using ultrasonography. Results: Body mass index exhibited an inverse association with total sperm count. WC showed negative correlations with numerous seminal parameters, including sperm concentration, total sperm count, sperm morphology, and follicle-stimulating hormone levels. The basal metabolic rate was associated with seminal pH, liquefaction time, and sperm motility. WC, fat mass percentage, and triglyceride levels exhibited negative correlations with sex hormone binding globulin. The measures of glucose metabolism were associated with a greater number of seminal parameters than the measures of cholesterol metabolism. C-reactive protein levels were inversely associated with sperm concentration and total sperm count. Conclusion: Anthropometric and metabolic risk factors were found to predict semen quality and alterations in sex steroidal hormone levels.

• Journal of Korean Society of Environmental Engineers
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• v.34 no.8
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• pp.557-565
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• 2012

In this research, it was analyzed that the effect of the non-point source pollution that occurs in the lower reaches of the livestock area. The analysis on the hydro- and polluto-graphs showed that the concentration of pollution gradually increased as the flow rate increased and, after reaching the peak flow rate, the flow rate dropped drastically. For Event Mean Concentration (EMC), in the lower reaches of livestock area, TSS EMC was 146.80~424.95 mg/L, COD EMC 11.64~55.66 mg/L, BOD EMC 6.66~49.88 mg/L, T-N EMC 7.650~43.825 mg/L and T-P EMC 0.711~3.855 mg/L. According to the results of the analysis on the correlations between pollutants, TSS and BOD, COD, T-N and T-P had correlations at a 0.53~0.95 confidence level. In addition, according to the result of the analysis on the correlations between EMC (mg/L) and storm runoff ($m^3$), the correlation was well explained by a Cubic regression. In addition, among the determination coefficients, TSS and T-N were relatively high, at 0.767~0.835 and 0.773~0.901 respectively, which indicates that EMC goes up as the storm runoff increases. Therefore, it is expected that EMC can be forecasted according to the amount of runoff ($m^3$). The results of this research will be a practical information for the assessment of the non-point source pollution that occurs in the lower reaches of the livestock area.

• Journal of the Korean Society of Radiology
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• v.11 no.5
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• pp.407-412
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• 2017

This study investigates the correlations between the total prostate volume (TPV), using the prostate specific antigen (PSA) and prostate specific antigen density (PSAD) as the blood test results and transrectal ultrasound (TRUS), and the prostate transition zone volume (PTZV), as well as variables such as age; the findings can be used as clinical indicators. A retrospective analysis was conducted on 68 healthy men in their 30s who underwent TRUS and PSA and PSAD blood tests from June 2007 to April 2016, with no history of treatment in their prostate. Siemens Acuson sequoia 512 and the probe Siemens EC-10C5 Endocavitary were used as the ultrasound equipment. For statistical analysis, SPSS 18.0 was used to calculate the standard deviation and mean of each variable; Pearson's correlation analysis was also performed. The descriptive statistics of the variables were $24.27{\pm}6.60$ for TPV, $6.99{\pm}6.60$ for PTZV, $2.12{\pm}2.76$ for PSA, and $0.281{\pm}0.1$ for PSAD. The coefficients of correlations between PTZV and variables were 0.831 for PSAD, 0.707 for TPV, 0.398 for age, and 0.118 for PSA. While PSA and age were positively correlated, PSAD and TPV were highly correlated. Therefore, PTZV of men in their 30s without underlying diseases can be predicted using PSAD and TPV.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.3924-3933
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• 2012

The purpose of this study is to investigate the relationships of social support, marital conflict, self-efficacy, and mothers' parenting stress, which are known as affecting mothers' parenting behaviors of infants a lot. To this study, We used of Korea Institute of Child Care and Education's "Panel Survey of Korea Child; 2009" data. The subjects of mothers of 11~18 months infants 1,467(M=739, F=728). In order to analyze collected data, Person correlation analysis, regression/path analysis were used. The results of the study were as follows: First, the correlations among social support, marital conflict, self-efficacy, and mothers' parenting stress were between -.475 and .401, which are all significant on the level of within p<.01. Of those the correlation between the variable of self-efficacy, and mothers' parenting stress was shown highest as of -.475. Second, the correlations among these variables and mothers' parenting behaviors of infants were between -.484 and .350(all, p<.01). Mothers' parenting stress shows the highest correlations of all, next social support, self-efficacy, marital conflict in order. Third, multiple-correlation of .533, which explains at 28.4 percentage of total variance of the mothers' parenting behaviors. And -.396 in the degree of mothers' parenting stress, which explains at 15.7 percentage of the total variance of the mothers' parenting behaviors, while .223 in social support(4.97%). But marital conflict has not direct effects but indirect effects.

• The Journal of Pediatrics of Korean Medicine
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• v.24 no.2
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• pp.99-111
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• 2010

Objectives The objectives of this study were to evaluate the correlations between the indices of obesity and percentage body fat by bioelectrical impedance analysis(BIA). Also, this study was designed to define the cut off values of percentage body fat by BIA which would represent BMI and degree of obesity in order to detect overweight and obesity in preschool children. Methods The height and weight of 683 children aged four to six years old were measured. Also, percentages of body fat were measured by BIA. Results There were high correlations between the boy's body fat percentages and degree of obesity(r=790). Also, there were high correlations between the girl's body fatpercentages and BMI(r=778). The cut off values of body fat percentage, which would correspond to those of BMI percentiles, were calculated by ROC curve analysis. To classify as an overweight, the correspondent cut off values of body fat percentage were 19.55% in boys and 22.35% in girls. For obesity, the cut off values were 28.80% in boys and 27.60% in girls. The cut off values of body fat percentage, which would correspond to degree of obesity were calculated by ROC curve analysis. To classify as an overweight, the correspondent cut off values of body fat percentage were 19.75% in boys and 22.35% in girls. For obesity, the cut off values were 29.05% in boys and 28.75% in girls. Conclusions According to the BMI criteria by the Korean pediatrics society in 2007, the most appropriate cut off values of body fat percentage in for four to six years old children were follows; for boys, 19.55% considered as overweight, and 28.80% as obese while for girls, 22.35% considered as overweight and 27.60% as obese. According to suggested degree of obesity criteria, the most appropriate cut off values of body fat percentage in for four to six old children were were follows; For boys, 19.75% was considered as overweight, and 29.05% as obesity. For girls, 22.35% was considered as overweight, and 28.75% as obese.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.589-596
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• 2017

The purpose of this study was to investigate factors affecting employment stress among Emergency Department students and reduce stress of employment. A questionnaire survey was administered to 276 students who experienced clinical practice among 4 emergency college students in Jeollabuk-do and Jeollanam-do at 4-year and 3-year colleges from September 10 to 15, 2017. Statistical analysis was performed using the SPSS 18.0 program and analyzed by t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. In the results, there were significantly negative correlations between clinical training stress and major satisfaction (r=-0.192, p=0.001), significantly positive correlations between career stress and clinical training stress (r=0.222, p<0.001), and significantly negative correlations between career stress and major satisfaction (r=-0.245, p<0.001). In the multi-regression analysis, the following was discovered: higher clinical training stress (${\beta}=0.157$, p=0.005), lower major satisfaction (${\beta}=-0.211$, p<0.001), and higher career stress. Junior students (${\beta}=0.237$, p<0.001) and senior students (${\beta}=0.288$, p<0.001) had the highest career stress. Subjects with medium-level financial status had high career stress (${\beta}=0.173$, p=0.012). Therefore, this study suggests that colleges should reduce clinical training stress among emergency medical technology students, and more job support centers should be opened and job management programs developed.

• Korean Journal of Environmental Agriculture
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• v.40 no.4
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• pp.248-259
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• 2021

BACKGROUND: Contaminated water was a major source of food-borne pathogens in various recent fresh produce-related outbreaks. This study was conducted to investigate the microbial contamination level and correlations between the level of sanitary indicator bacteria and the detection ratio of pathogens in agricultural water by logistic regression analysis. METHODS AND RESULTS: Agricultural water was collected from 457 sites including surface water (n=300 sites) and groundwater (n=157 sites) in South Korea from 2018 to 2020. Sanitary indicator bacteria (total coliform, fecal coliform, and Escherichia coli) and food-borne pathogens (pathogenic E. coli, E. coli O157:H7, Salmonella spp., and Listeria monocytogenes) were analyzed. In surface water, the coliform, fecal coliform, and E. coli were 3.27±0.89 log CFU/100 mL, 1.90±1.19 log CFU/100 mL, and 1.39±1.26 log CFU/100 mL, respectively. For groundwater, three kinds of sanitary indicators ranged in the level from 0.09 - 0.57 log CFU/100 mL. Pathogenic E. coli, Salmonella and Listeria monocytogenes were detected from 3%-site, 1.5%- site, and 0.6%-site water samples, respectively. According to the results of correlations between the level of sanitary indicator bacteria and the detection ratio of pathogens by logistic regression analysis, the probability of pathogen detection increased individually by 1.45 and 1.34 times as each total coliform and E. coli concentration increased by 1 log CFU/100mL. The accuracy of the model was 70.4%, and sensitivity and specificity were 81.5% and 51.7%, respectively. CONCLUSION(S): The results indicate the need to manage the microbial risk of agricultural water to enhance the safety of fresh produce. In addition, logistic regression analysis is useful to analyze the correlation between the level of sanitary indicator bacteria and the detection ratio of pathogens in agricultural water.

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.1
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• pp.121-133
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• 2009

This study tested the relations of schools organizational climate and teachers' job stresses, perceived by 913 teachers from 45 elementary, junior- and senior-high schools. Pearson's correlation analysis for the relations between the sub-factors of both organizational climate and job stresses and cannonical correlation analysis for the relative contribution of individual variable of organizational climate upon job stress were applied for the test. The results of Pearson's correlation analysis showed that while 'intimacy', 'esprit', 'considerations', and 'production emphasis' climate had negative correlations with job stress sub-factors, 'disengagement' and 'aloofness' climate had positive correlation. 'Student guidance', a sub-factor of job stresses, did not have statistically significant correlation with any sub-factors of organizational climate. Findings from cannonical correlation analysis showed 2 significant cannonical functions to explain the relations between the sets of variables. 'Disengagement' from organizational climate positively contributed with 'authority forfeiture' and 'dissention and conflict' of the job stresses variables.

• Journal of computational fluids engineering
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• v.11 no.3 s.34
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• pp.1-7
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• 2006

Euler and Navier-Stokes flow analyses for helicopter rotor in hover were performed as low and high fidelity analysis models respectively for the future multidisciplinary design optimization(MDO). These design-oriented analyses possess several attributes such as variable complexity, sensitivity-computation capability and modularity which analysis models involved in MDO are recommended to provide with. To realize PC-based analyses for both fidelity models, reduction of flow domain was made by appling farfield boundary condition based on 3-dimensional point sink with simple momentum theory and also periodic boundary condition in the azimuthal direction. Correlations of thrust, torque and their sensitivities between low and high complexity models were tried to evaluate the applicability of these analysis models in MDO process. It was found that the low-fidelity Euler analysis model predicted inaccurate sensitivity derivatives at relatively high angle of attack.

• Journal of Mechanical Science and Technology
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• v.18 no.8
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• pp.1428-1434
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• 2004

This paper presents the mean streamline analysis using the empirical loss correlations for performance prediction of cross-flow fans. Comparison of overall performance predictions with test data of a cross-flow fan system with a simplified vortex wall scroll casing and with the published experimental characteristics for a cross-flow fan has been carried out to demonstrate the accuracy of the proposed method. Predicted performance curves by the present mean streamline analysis agree well with experimental data for two different cross-flow fans over the normal operating conditions. The prediction method presented herein can be used efficiently as a tool for the preliminary design and performance analysis of general-purpose cross-flow fans.