• Research in Community and Public Health Nursing
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• v.10 no.1
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• pp.183-203
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• 1999

High school is regarded as the period when many important physical, mental and social developments occur, and when many health-related behaviors are formed. School health education is one of the major learning resources influencing health potential in the home and community as well as for the individual student. High school health education in Korea has a fundamental systemic flaw however, in that health -related subjects are divided and taught under various subjects at school. In order to achieve quality health education, it is essential to assess the learners' and teachers' educational needs. So far, most of the research projects that had been carried out for improving high school health education were limited to only the learners' educational need. They failed to in elude an educational assessment of the teachers. Therefore, in this study the high school health education teachers' needs relating to health education were investigated through a focus on the teachers' health education activity level, health education activity self-efficacy level, and perceived level of importance in health education content. In this study, research instruments these factors were constructed by Yoo(1997) on the basis of the PRECEDE model. The data for this study were collected from a sample consisting of twenty general and vocational high schools in Seoul and Chongju for a two month period beginning in July, 1996. In analyzing the data, an ANOVA test and stepwise multiple regression were accomplished using an SPSS - PC+ program. The results were as follows: The average level of health education activity and self-efficacy among high school health edu cation teachers were found to be low. But, teachers' perceived importance of health education contents was high. Teachers' activity and perceived importance concerning sex education were lower than in other health education areas. Health education activity of Military drill teachers was higher than that of physical education teachers as well as school nurses. But it was not significant. Health education activity self-efficacy of school nurses was higher than that of other teachers(p<.05). Perceived level of importance of health education contents was the most influential variable in teachers' health education activity. Health education activity self-efficacy level was not an influential variable in teachers' health education activity. The significance of this study is that it has diagnosed the needs of high school health education through the teachers' assessment of a variety of health factors related. These findings suggest that the management of an integrated health education, program requiring large changes in the curriculum of health education is necessary.

• Journal of Crop Science and Biotechnology
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• v.11 no.2
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• pp.141-150
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• 2008

The response of grain yield(GY) and milled-rice protein content(PC) to crop growth status and nitrogen(N) rates at panicle initiation stage(PIS) is critical information for prescribing topdress N rate at PIS(Npi) for target GY and PC. Three split-split-plot experiments including various N treatments and rice cultivars were conducted in Experimental Farm, Seoul National University, Korea in 2003-2005. Shoot N density(SND, g N in shoot $m^{-2}$) and canopy reflectance were measured before N application at PIS, and GY, PC, and SND were measured at harvest. Data from the first two years(2003-2004) were used for calibrating the predictive models for GY, PC, and SND accumulated from PIS to harvest using SND at PIS and Npi by multiple stepwise regression. After that the calibrated models were used for calculating N requirement at PIS for each of nine plots based on the target PC of 6.8% and the values of SND at PIS that was estimated by canopy reflectance method in the 2005 experiment. The result showed that SND at PIS in combination with Npi were successful to predict GY, PC, and SND from PIS to harvest in the calibration dataset with the coefficients of determination ($R^2$) of 0.87, 0.73, and 0.82 and the relative errors in prediction(REP, %) of 5.5, 4.3, and 21.1%, respectively. In general, the calibrated model equations showed a little lower performance in calculating GY, PC, and SND in the validation dataset(data from 2005) but REP ranging from 3.3% for PC and 13.9% for SND accumulated from PIS to harvest was acceptable. Nitrogen rate prescription treatment(PRT) for the target PC of 6.8% reduced the coefficient of variation in PC from 4.6% in the fixed rate treatment(FRT, 3.6g N $m^{-2}$) to 2.4% in PRT and the average PC of PRT was 6.78%, being very close to the target PC of 6.8%. In addition, PRT increased GY by 42.1 $gm^{-2}$ while Npi increased by 0.63 $gm^{-2}$ compared to the FRT, resulting in high agronomic N-use efficiency of 68.8 kg grain from additional kg N. The high agronomic N-use efficiency might have resulted from the higher response of grain yield to the applied N in the prescribed N rate treatment because N rate was prescribed based on the crop growth and N status of each plot.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.330-346
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• 1999

This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in high school students. 304 high school students and 189 vocational high school students living in Taegu city were selected by a convenience sampling method. The data were collected by self-reported questionnaires from August 24 to September 4, 1998. Pender and others' Health Promoting Lifestyle Profile, Shere et al's. Self-Efficacy scale, Wallston et al.'s Internal Health Locus of Control scale, Wares' Health self rating scale and Cohen & Hoberman's Social support scale were used. The data were analyzed by using descriptive statistics, Pearson correlation coefficient, t-test, MANOVA, ANOVA. Tukey verification and Stepwise multiple regression with an SAS program. The results of this study were as follows: 1. The average score of a health promoting lifestyle performance was 2.38(SD=.36) of a 4 point scale .Self-actualization (mean = 2.80. SD = .60). interpersonal support(mean = 2.73, SD=.47), health responsibility (mean=1.53, SD=.47), nutrition(mean=2.64, SD=.63), exercise(mean=2.71. SD=.72) and stress management(mean=2.37, SD=.58) were also analyzed. 2. The combination of self-efficacy, social-support, internal health locus of control. father's educational level and perceived health status explained 37.97% of the variance in health promoting lifestyles. 3. A Health promoting lifestyle showed significant positive correlations with self efficacy(r=.5173. p=.0011), perceived health status(r=.254, p=.001) and internal health locus of control(r=.321. p=.001). 4. According to sex(t=7.38. p=.006). economic state(F=6.62, p=.00l), Father's educational level(F=4.25, p=.005), mother's educational level(F=6.94. p=.000l), the grade of educational performance(F=3.74, p=.024), sleeping hours(F=3.47. p=.032) and social support(F=40.76, p=.0001). there were significant differences and modifying factors in health promoting lifestyles. On the basis of the above findings. self-efficacy in cognitive factors, and social support in modifying factors were identified as the variables which explained most of Pender's health-promotion model. Nursing strategies enhancing self-efficacy and social support which have a more significant effect on health promoting lifestyles should be developed. Further research is required to find out the factors influencing health pormoting lifestyle of high school students.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.4
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• pp.221-237
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• 2005

For developing the site-specific fertilizer management strategies of crop, it is essential to know the spatial variability of soil factors and to assess their influence on the variability of crop growth and yield. In 2002 and 2003 cropping seasons within-field spatial variability of rice growth and yield was examined in relation to spatial variation of soil properties in the· two paddy fields having each area of ca. $6,600m^2$ in Suwon, Korea. The fields were managed without fertilizer or with uniform application of N, P, and K fertilizer under direct-seeded and transplanted rice. Stable soil properties such as content of clay (Clay), total nitrogen (TN), organic mater (OM), silica (Si), cation exchange capacity (CEC), and rice growth and yield were measured in each grid of $10\times10m$. The two fields showed quite similar spatial variation in soil properties, showing the smallest coefficient of variation (CV) in Clay $(7.6\%)$ and the largest in Si $(21.4\%)$. The CV of plant growth parameters measured at panicle initiation (PIS) and heading stage (HD) ranged from 6 to $38\%$, and that of rice yield ranged from 11 to $21\%$. CEC, OM, TN, and available Si showed significant correlations with rice growth and yield. Multiple linear regression model with stepwise procedure selected independent variables of N fertilizer level, climate condition and soil properties, explaining as much as $76\%$ of yield variability, of which $21.6\%$ is ascribed to soil properties. Among the soil properties, the most important soil factors causing yield spatial variability was OM, followed by Si, TN, and CEC. Boundary line response of rice yield to soil properties was represented well by Mitcherich equation (negative exponential equation) that was used to quantify the influence of soil properties on rice yield, and then the Law of the Minimum was used to identify the soil limiting factor for each grid. This boundary line approach using five stable soil properties as limiting factor explained an average of about $50\%$ of the spatial yield variability. Although the determination coefficient was not very high, an advantage of the method was that it identified clearly which soil parameter was yield limiting factor and where it was distributed in the field.

• Journal of Korean Academy of Nursing
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• v.27 no.3
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• pp.541-549
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• 1997

This study was done to describe health promoting lifestyle and determine affecting factors in elderly based on the Heath Promotion Model by Pender. Cognitive-perceptual factors that were included in this study were self-efficacy and hardiness. Modifying factors were demographic characteristics (sex, age, partner, previous illness, education level. income and religion). The specific purpose of this study was to examine the relationships of self-efficacy, hardiness and the demographic chasteristics to health promoting lifestyle and to determine causal factors affecting the elderly. The subjects were a volunteer sample of 98 elderly in one city in? The instruments for this study were Health Promoting Lifestyle Profile(47items, 4scale), Health Related Hardiness Scale(22i1ems, 6scale), general Self-Efficacy Scale(13i1ems, 5scale). Frequency, percentage, t-test, ANOVA, Pearson's correlation coefficient and Stepwise Multiple regression technique with SAS program were used to analyse the data. The Results of the study are as follows : 1) The average item score for the health promoting lifestyle was 2.63, the highest score on the subscales was interpersonal support (M=3.3), followed by self-actulization(M=2.9), nutrition(M=2.8), stress management(M=2.7), health responsibility(M=2.1) with the lowest bring exercise(M=2.0) 2) A significant difference between education level, income, religion and health promoting lifestyle were found. 3) All of the subscales on health promoting lifestyle were positively related to total hardiness (r=0.330, p<0.001). The hardiness subscale of control was positively related to self-actulization(r=0.276, p<0.01), and commitment was positively related to self-actualization(r=0.315, p<0.001), exercise /nutrition(r=0.245, p<0.01), interpersonal support(r=0.278, p<0.01), stress management(r=0.250, p<0.01). Challenge was positively related to self-actualization(r=0.315, p<0.001), exercise /nutrition(r=0.245, p<0.01). There was no significant correlation between self-efficacy and all of the subscales of health promoting lifestyle. Self-efficacy showed a significant correlation only with control(r=0.469, p<0.001), comittment(r=0.507, p<0.001), challenge (r=0.489, p< 0.001). 4) Comittment, self-efficacy and income explained 25.01% of the variance for the total health promoting lifestyle. The results of this study show that commitment, self efficacy and income predicted the health promoting lifestyle of the elderly. So health promoting programs that increase commitement and self-efficacy should be developed to promote a healthy lifestyle of the elderly, especially those who have low income.

• Journal of Korean Public Health Nursing
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• v.16 no.2
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• pp.254-270
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• 2002

This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in women student of high school. 286 students were selected by a convenience sampling method. The data were collected by self - reported questionnaires from 10 to July 13, 2002. The data were analyzed by using descriptive statistics, pearson correlation coefficient, stepwise multiple regression with SPSS program. The result of this study were as follows: 1. The average score of health promoting behavior was 2.46 of a 4 point scale. Sanitary life(3.05), interpersonal support(2.80), alcohol & smoking(2.79) Self actualization(2.76), habit of meal(2.52), rest & sleeping(2.33) regulation of meal(2.30) stress management(2.05), health responsibility(1.91) were also analyzed. 2. Health promoting lifestyle showed significant positive correlations with self-esteem (r=0.446, p<0.00l), life orientation test(r=.493, P<0.0l) and score(F=6.157, P=0.002) 3. Perceived health state showed significant correlation with alcohol & smoking subscale(r=-.134, P<0.05) of health promoting lifestyle. Self-esteem showed significant correlation with total health promoting lifestyle(r=.538, P<0.01), and showed significant correlation self-actualization subscale(r=.657, P<0.01) health responsibility subscale (r=.272, P<0.01), food regulation subscale(r=.126, P<0.05), interpersonal relationship subscale (r=.468, P<0.0l), stress management subscale(r=.349, P<0.01) sanitary life subscale (r=.282, P<0.01) sleep & rest subscale(r=.123, P<0.05). Life orientation test showed significant correlation with total health promoting lifestyle(r=.493, p<0.01), self­actualization subscale(r=.643, p<0.01) health responsibility subscale(r=.192, P<0.0l), habit of meal subscale(r=.215, p<0.01), interpersonal relationship subscale(r=.423, p<0.01), stress management subscale(r=.345, p<0.01) sanitary life subscale(r=.191, p<0.01) sleep & rest subscale(r=.137, P<0.05). Stress response showed significant correlation with sleep & rest subscale(r=-.137, P<0.05) of health promoting lifestyle. 4. The combination of self-esteem. life orientation test explained $33.2\%$ of the variance in health promoting lifestyle. On the basis of the above findings. self-esteem and Life Orientation Test were identified as the variables which explained most of Pender's health promoting model. Nursing strategies enhancing self-esteem and Life Orientation Test which have a more significant effect on health promoting lifestyles should be developed.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.6
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• pp.838-844
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• 2013

This study was conducted to evaluate chemical composition, nitrogen-corrected true metabolizable energy (TMEn) and true amino acids digestibility of corn distillers dried grains with solubles (DDGS) produced in China. Twenty five sources of corn DDGS was collected from 8 provinces of China. A precision-fed rooster assay was used to determine TMEn and amino acids digestibility with 35 adult cecectomized roosters, in which each DDGS sample was tube fed (30 g). The average content of ash, crude protein, total amino acid, ether extract, crude fiber and neutral detergent fiber were 4.81, 27.91, 22.51, 15.22, 6.35 and 37.58%, respectively. TMEn of DDGS ranged from 1,779 to 3,071 kcal/kg and averaged 2,517 kcal/kg. Coefficient of variation for non-amino acid crude protein, ether extract, crude fiber and TMEn were 55.0, 15.7, 15.9 and 17.1%, respectively. The average true amino acid digestibility was 77.32%. Stepwise regression analysis obtained the following equation: TMEn, kcal/kg = -2,995.6+0.88${\times}$gross energy+$49.63{\times}a^*$ (BIC = 248.8; RMSE = 190.8; p<0.01). Removing gross energy from the model obtained the following equation: TMEn, kcal/kg = 57.88${\times}$ether extracts+$87.62{\times}a^*$ (BIC = 254.3, RMSE = 223.5; p<0.01). No correlation was found between color scores and lysine true digestibility (p>0.05). These results suggest that corn DDGS produced in China has a large variation in chemical composition, and gross energy and $a^*$ value can be used to generate TMEn predict equation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.118-128
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• 2020

This descriptive study investigated the factors influencing on subjective happiness of senior nursing students. The participants were 235 nursing students in grades 3 and 4 in K city from May 1, 2019 to May 28, 2019. The data was collected using self-report questionnaires that contained items on subjective happiness, professional intuition, human relationship, major satisfaction, family health, and social support scale. The data was analyzed using descriptive statistics, Pearson's correlation coefficients, and stepwise multiple regression analysis with the SPSS 22.0 program. The subjective happiness of the subjects averaged 4.75±1.16 on the 7-point scale, and the subjective happiness according to the general characteristics of the subjects showed a significant difference in health status (F=6.826, p<.001). The most influential factors on the subjects' subjective happiness were health status (β=.177 p=.005), academic satisfaction (β=.138, p=.027), and family health (β=.268, p<.001), and the explanatory power of the model was 16.7% (F=15.160, p<.001). The results of this study may provide a foundation to develop an efficient intervention program to improve the happiness of senior nursing students.

• Journal of Korean Medicine for Obesity Research
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• v.3 no.1
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• pp.7-16
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• 2003

Objectives : The lipolytic effects of catecholamines in adipose tissue are mediated by members of adrenergic receptors. This study was conducted to examine the effects of ${\beta}2-AR$ Gln27Glu (Q27E) polymorphism on obesity indices and risk among obesity clinic patients. Methods : 532 subjects, 38 men and 494 women, who attended a weight loss program in a local obesity clinic were analyzed. Height, weight, BMI, WHR and obesity index were measured or calculated. Body composition was measured by bio-impedance analysis. Genotype of ${\beta}2-AR$ polymorphism in codon 27 was analyzed by PCR-RFLP method. Serum concentrations of fasting glucose, total and HDL cholesterol, and triglyceride were determined by autobiochemical analyzer. Results: The Genotype distributions of ${\beta}2-AR$ gene were QQ type 81.3%, QE type 17.9% and EE type 8%. Therefore, the frequency of E allele of ${\beta}2-AR$ gene was 0.170 in the total subjects. The frequency of the ${\beta}2-AR$ variant genotype(QE+EE) was significantly higher in obese group($BMI{\geqq}25$) compared with non-obese group(p=0.027). Weight was significantly higher in variant(QE+EE) type compared with normal(QQ) type in total subjects(p=0.001), male(p=0.022) and female(p=0.013). BMI, obesity index and WHR were also significantly higher in QE+EE type. Body fat man was significantly higher in QE+EE type in total subjects(p=0.005) and female(p=0.027). When forward stepwise regression analysis was used to create a model of risk predictors of obesity($BMI{\geqq}25$), QE+EE type of ${\beta}2-AR$ gene was found to be a significant risk factor for obesity (p=0.042, ORs 1.597). Conclusions: QE+EE genotype of ${\beta}2-AR$ was associated with increased obesity indices and might be a significant risk factor for obesity.

• 한국사회정책
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• v.24 no.4
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• pp.185-222
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• 2017

The purpose of this study is to investigate the effect of labor market policy on fiscal soundness of welfare state. The analysis was carried out using cross-sectional panel data regression analysis, stepwise mediating effect analysis and system GMM designed by Baron and Kenny(1986) based on the data from 1985 to 2015 for 20 OECD countries. In setting up the analysis model, this study considers the interaction effect between active and passive labor market policies as well as the time sequence of the outcomes which have been overlooked in the previous studies. The result shows that labor market policies have significant impacts on the fiscal condition of welfare states, which is measured as the levels of national debt in this study. Especially the expenditure on active labor market programs has a positive effect on improving the fiscal soundness of welfare states by promoting the employment rate. In contrast, passive labor market programs expenditure is negatively associated with employment rate growth and it exacerbates the burden of national debt in the short-term. However, when active labor market programs and passive labor market programs are combined, the negative impacts by passive pabor market policies on the fiscal soundness of welfare states are off-set. Therefore this study addresses that although the expansion of the labor market policies can be inimical to the fiscal soundness of welfare states in the short-term, in the long run, they can have effective roles in securing and promoting the fiscal soundness of the welfare states by promoting the employment rate.