• Journal of Embryo Transfer
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• v.18 no.3
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• pp.215-225
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• 2003

This study was carried out to investigate the change of blood compositions by age in Hanwoo, and a total of 866 of Hanwoo, which consisted with 638 of steer and 228 of bulls, were used to measure serum concentrations. A multiple regression equation was estimated with collection age and blood composition as independent and dependent variables, respectively. Complicated regression equations for blood compositions in steer and bulls were IGF-I(cubic), calcium (linear), and IP(linear). Linear and cubic equations were fitted to testosterone in steer and creatinine in bulls, respectively. A cubic equation in steer and linear equation in bulls were fitted to HDLC. Equations of quadratic in steer and cubic in bulls were fitted to concentration of triglyceride, globulin, and A/G ratio. BUN was fitted by equations of cubic in steer and quadratic in bulls. TP and albumin were fitted by equations of quadratic in steer and linear in bulls. A cubic regression equation did not explain the change of cortisol by age in steer and bulls. A cubic regression equation did explain the change of glucose by age in steer, but not in bulls. Higher R-square values (R-SQUARE>0.1) were estimated to IGF-1, albumin, creatinine, Inorganic phosphorous(IP) and HDLC in steer, and testosterone, IGF-I, TP, albumin, glucose, creatinine, IP, and HDLC in bulls for the fitted regression equations of blood compositions. Therefore, IGF-I, albumin, creatinine, IP, and HDLC were regarded as comparatively large variation by age in steer and bulls.

• The Journal of the Korean life insurance medical association
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• v.4 no.1
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• pp.101-109
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• 1987

The present study was undertaken to establish the standard body weight by height in Korean adults by using the actually measured heights and weights of a total of 5,496 insured persons who were examined medically at the Honam Medical Room of Dong Bang Life Insurance Company, Ltd. from January, 1983 to January, 1986. The results were as follows: 1. The linear regression equations to establish the standard body weight of Korean adults were as follows: In male, for $18{\sim}19$ age group, $y=7.272{\times}10^{-6}{\times}x^3+23.560$ for $20{\sim}29$ age group, $y=8.187{\times}10^{-6}{\times}x^3+22.031$ for $30{\sim}39$ age group, $y=8.627{\times}10^{-6}{\times}x^3+23.169$ for $40{\sim}49$ age group, $y=9.561{\times}10^{-6}{\times}x^3+20.994$ and for $50{\sim}59$ age group, $y=8.604{\times}10^{-6}{\times}x^3+23.801$ In female, for $18{\sim}19$ age group, $y=8.252{\times}10^{-6}{\times}x^3+18.920$ for $20{\sim}29$ age group, $y=7.715{\times}10^{-6}{\times}x^3+22.409$ for $30{\sim}39$ age group, $y=8.808{\times}10^{-6}{\times}x^3+21.439$ for $40{\sim}49$ age group, $y=9.691{\times}10^{-6}{\times}x^3+21.940$ and for $50{\sim}59$ age group, $y=12.500{\times}10^{-6}{\times}x^3+11.031$ 2. The standard age, height, and weight tables by author were presented with the aid of linear regression equations. 3. The values of standard body weight by height established by author reveal to be a little higher than those of other Korean reports through all age groups of both sexes, and reveal to be considerably similar, compared with those of the reports in Japan for fourth and sixth decade of female group.

• Imaging Science in Dentistry
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• v.46 no.1
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• pp.1-7
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• 2016

Purpose: This study assessed the accuracy of age estimates produced by a regression equation derived from lower third molar development in a Thai population. Materials and Methods: The first part of this study relied on measurements taken from panoramic radiographs of 614 Thai patients aged from 9 to 20. The stage of lower left and right third molar development was observed in each radiograph and a modified Gat score was assigned. Linear regression on this data produced the following equation: Y=9.309+1.673 mG+0.303S (Y=age; mG=modified Gat score; S=sex). In the second part of this study, the predictive accuracy of this equation was evaluated using data from a second set of panoramic radiographs (539 Thai subjects, 9 to 24 years old). Each subject's age was estimated using the above equation and compared against age calculated from a provided date of birth. Estimated and known age data were analyzed using the Pearson correlation coefficient and descriptive statistics. Results: Ages estimated from lower left and lower right third molar development stage were significantly correlated with the known ages (r=0.818, 0.808, respectively, $P{\leq}0.01$). 50% of age estimates in the second part of the study fell within a range of error of ${\pm}1year$, while 75% fell within a range of error of ${\pm}2years$. The study found that the equation tends to estimate age accurately when individuals are 9 to 20 years of age. Conclusion: The equation can be used for age estimation for Thai populations when the individuals are 9 to 20 years of age.

• Asian-Australasian Journal of Animal Sciences
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• v.21 no.6
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• pp.769-775
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• 2008

This study was on the relative net income (RNI) for 18,286 Iranian Holstein cows from 799 herds, with first freshening between 1991 and 2000. Two kinds of production system, which differed mainly in milk pricing system and feed cost, were considered. Four different models adopted from the literature were examined to find the optimum model. They differed by the cost of rearing and growth after first calving and they needed different amounts of economic data at the farm level. Results showed that four measures of RNI were highly correlated (>0.96) and could be used equally to measure lifetime profitability of cows. Therefore, in herds without a regular system for recording economic and management data, use of the simplest model is recommended. Multiple regression analysis revealed that RNI was affected by age at first freshening, milk yield and days of productive life (DPL), regardless of production system, and a similar breeding goal could be defined for the two systems. Multiple regression analysis of RNI showed that in order to obtain an unbiased estimate of economic value for DPL, the per day milk yield, not total lifetime milk yield, should be included in the regression model along with DPL. Regression analysis suggested that it is possible to predict RNI using information on age at first freshening along with the length of first lactation and per day milk yield with a coefficient of determination ranging from 0.44 to 0.47.

• Journal of Biomedical Engineering Research
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• v.22 no.4
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• pp.369-375
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• 2001

The statistical regression model is one of the most frequently used clinical analysis methods. It has basic assumption of linearity, additivity and normal distribution of data. However, most of biological data in medical field are nonlinear and unevenly distributed. To overcome the discrepancy between the basic assumption of statistical model and actual biological data, we propose a new analytical method based on artificial neural network. The newly developed multilayer perceptron(MLP) is trained with 120 data set (60 normal, 60 patient). On applying test data, it shows the discrimination power of 0.76. The diabetic risk factors were also identified from the MLP neural network model and the logistic regression model. The signigicant risk factors identified by MLP model were post prandial glucose level(PP2), sex(male), fasting blood sugar(FBS) level, age, SBP, AC and WHR. Those from the regression model are sex(male), PP2, age and FBS. The combined risk factors can be identified using the MLP model. Those are total cholesterol and body weight, which is consistent with the result of other clinical studies. From this experiment we have learned that MLP can be applied to the combined risk factor analysis of biological data which can not be provided by the conventional statistical method.

• The korean journal of orthodontics
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• v.27 no.5 s.64
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• pp.853-864
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• 1997

The evaluation of growth potency can be done with many physiologic indicators. It has been well known that skeletal maturity has a close relation with both sexual maturity and somatic maturity, but the correlation between skeletal maturity and dental maturity was believed to be less certain. But, recent studies show that specific teeth, including lower canines, present close correlations with skeletal maturity. So, in this study, we studied hand-wrist X-ray films and orthopantomograms of 387 Korean boys and girls aged from 7 to 15; the purpose was to determine skeletal and dental maturity, and to find out a new method to estimate individual skeletal maturity using multiple-regression model, without the help of hand-wrist X-ray film. As a result of this study, followings were observed. 1. The following multiple-regression model can estimate skeletal maturity index (SMI) with 84% of accuracy, and regression coefficient of chronologic age, sex and lower canine show statistical significance. SMI = 0.60 x chronologic age - 1.67 x sex$^{**}$ + 0.88 x lower canine$^{*}$ - 0.05 x lower 2nd molar$^{*}$ - 10.3 $^{*}$ : mean age corresponding each developing stage, $^{**}$ : male=1, femal=0 2. The following multiple-regression model can estimate skeletal age with 87% of accuracy, and regression coefficient of chronologic age, sex and lower canine show statistical significance. Skeletal age = 0.75 x chronologic age - 0.55 x sex$^{**}$ + 0.71 x lower canine$^{*}$ - 0.09 x lower 2nd molar* -5.77 $^{*}$ : mean age corresponding each developing stage, $^{**}$ : male=1, femal=0

• Korea journal of population studies
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• v.11 no.1
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• pp.87-96
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• 1988

The subjects used in this study were chosen from self-employed women in Taegu City, Korea, Data for 415 respondents were collected by face-to-face interviews conducted during the period of November 10 through 23, 1987. There are three major purposes in this study : first, to describe the general characteristics of self-employed Korean women's fertility behavior ; second, to examine the determinants of fertility behavior among self-employed women : third, to explore the relative importance of the fertility determinants among the women. Regression analyses were introduced to test hypotheses. Nine variables, such as household income, educational attainment, mass media, abortion, the period of contraception practice, contraceptive expenses, the number of infant, deaths marital period, and age at first marriage were introduced as indicators in the regression. The results of this study show that there are negative relationships between the dependent variable of fertility and abortion, and the period of contraception practice. On the other hand, positive relationships between the dependent variable of fertility and the number of infant deaths, and marital period and age at first marriage are shown in this study. However, the results of this study show that there are insignificant relationships between socioeconomic variables and fertility. From the results of the F test to evaluate the significance of difference in $R^2$between two different regression equations, we have found that the regression equation including both socioeconomic variables and intermediate variables is misspecified to examine the determinants of fertility behavior among self-employed Korean women. That is, the F test shows that the regression equation including only intermediate variables as indicators is the best model for this study. Finally, the relative importance of the fertility determinants among self-employed women is found as follows : Age at the first marriage is the most influential variable in the fertility, and the next important factors are abortion, the period of contraception practice, the number of infant deaths, and marital period, in that order.

• Journal of the Korean Institute of Landscape Architecture
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• v.16 no.1
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• pp.27-35
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• 1988

Size characteristics of three widely used landscape trees were analized to establish a methodology of size prediction as time Passes. Tree height, tree width, stem diameter(breast or surface), canopy length and tree age were measured directly and indirectly(by using photograph), and the data were analized by using regression analysis through PC-SAS. The results are summarized as follows : 1. Zelkova serrata MAKINO showed relatively slow growth rate and the tree form was changed as aged. Size predictions were available by using the regression equations listed below : Surface diameter = 0.8293 x AGE Tree height = 0.4109(0.8293 x AGE) - 0.0039(0.7273 x AGE)$^2$Tree width = 0.3240(0.8293 x AGE) - 0.0024(0.1293 x AGE)$^2$Canopy length = 0.1337(0.8293 x AGE) - 0.0020(0.7293 x AGE)$^2$2. Pinus strobus L. showed relatively fast growth rate and the tree form did not change much as aged. Size predictions were available by using the regression equations listed below. Breast diameter = 0.756 x AGE Tree height = 0.7695(0.756 x AGE) - 0.0164(0.75\ulcorner x AGE)$^2$Tree width = 0.4331(0.756 x AGE) - 0.0079(0.75\ulcorner x AGE)$^2$Canopy length = 0.1365(0.756 x AGE) - 0.0032(0.75f x AGE)$^2$ 3. In case of Magnolia denudata DESROUX, tree form was determined relatively earlier than the other two species. Si2e predictions were available by using the regression equations listed below : Surface diameter = 0.88 x AGE Tree height = 0.5412(0.88 x AGE) - 0.0110(0.88 x AGE)$^2$ Tree width = 0.3752(0.88 x AGE) - 7.0061(0.88 x AGE)$^2$Canopy length = 0.1110(0.88 x AGE) - 0.0022(0.88 x AGE)$^2$ This study aimed to find a way to predict size change of landscaping plants. This methodology will be applied to a wide range of landscape plants to provide practical data to landscape designers.

• Research in Community and Public Health Nursing
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• v.28 no.3
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• pp.251-259
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• 2017

Purpose: This study aims to examine the influence of vitamin D and calcium on depression and cognitive function of the elderly living alone in a city. Methods: The participants were registered in eight senior centers in S city and they had lived alone. Data were collected between November 28, 2014 and March 7, 2015. A total of 155 people participated in data collection to measure the serum vitamin D, the serum calcium, depression, and cognitive function. The data were analyzed with t-test, ANOVA, Pearson's correlation and multiple regression analysis. Results: There were significant differences in depression according to gender and perceptions of health status. Depression correlated significantly with the serum calcium and perceptions of health status, and a stepwise regression analysis showed that the perceptions of health status were significant. There were significant differences in cognitive function according to education level and age. Cognitive function correlated significantly with the serum vitamin D and a stepwise regression analysis showed that education level and age were significant. Conclusion: Consequently, elderly people with poor perceptions of their health status need a depressive intervention program and those with a higher age and lower level of education need a cognitive function intervention program.

• Journal of Distribution Science
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• v.16 no.1
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• pp.7-15
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• 2018

Purpose - This study aimed to identify the impact of consumers' perception of the value of discount store PB products on brand loyalty and repurchase intention and simultaneously check whether consumers showed a different position depending on gender difference and age. Research design, data, and methodology - For data collection, total of 174 valid copies of questionnaire were obtained for analysis. And simple regression, multiple regression and hierarchical moderated regression analysis was conducted for hypothesis verification and implication Results - It was found that functional, social and emotional value perceived by consumers had a positive impact on brand loyalty and repurchase intention. And it was found that consumers who were in a relatively lower age group were positive, in the relation between emotional value and repurchase intention only. Conclusions - It was suggested that consumers accept discount store PB products positively overall. Therefore, discount stores must not only need to develop their strengths in various parts of PB product beyond consumer's positive perception but also make efforts to raise the social awareness of the use of PB products. And they have to promote consumer decision making by concentrating on emotional factors take a different approach to consumers in a higher age group.