• 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.

• Research in Community and Public Health Nursing
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• v.8 no.2
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• pp.277-288
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• 1997

The purpose of this study is to identify the behavioral subsystems of the obese adult and contribute to the utility of Johnson's Behavioral System Model. The subjects were 167 obese adults in out-patients clinics of 2 hospitals and health clinics for 4 companies. These data were collected by a structured questionnaire with 52 items from July 1 to Sep. 30, 1995. The instrument used for this study was modified from the DBSM -self reporting instrument (1983) and Grubbs(1980)'s. The reliability of this method was cronbach's ${\alpha}$=.8476 and the construct validity of it was accepted by using a factor analysis. These data were analyzed by frequency, percentage, mean, standard deviation, factor analysis, pearson's correlation coefficient, Kruskal-Wallis with an SPSS PC+ Program. The results of this study were as follows: 1. The 9 behavioral subsystems of the obese were indentified : sex-related, attachment-affiliative I(social), dependency, ingestive, eliminative, restorative, aggressive-protective, attachment-affiliative and II (familial), an achievement behavioral subsystem. 2. Out of 9 subsystems, the highest significant positive correlation between dependency and acheivement subsystem was found(r=.5357, p<.01), The next, attachment-affiliative I and attachment-affiliative II subsystem was correlated significantly (r=.4526, p<.01). Significant positive correlations among sex-related, achivement, attachment-affiliative I, II, dependency, restorative, and aggressive-protective subsystems were found. But, ingestive and eliminative subsystems were not correlated with the above seven subsystems significantly, only the positive correlation between the ingestive and eliminative subsystems was found. 3. The explained variance of the 9 subsystems was explained as 56.1% out of a total of one. The sex-related subsystem was the first factor explaining 16.3% of the total variance and then the next 8 factors which resulted in 39.8%. According to the results of this study, the suggestions were as follows: 1. In the nursing practice, nursing assessmentand intervention of the obese should be in cluded not only in ingestive and eliminative subsystems but also in sex-related, attachment-affiliative I, dependency, restorative, aggressive-protective, attachment -affiliative II, and achievement behavioral subsystem. 2. Concerning instruments, some items to measure the eliminative, dependency, and aggressive-protective behavioral subsystems with relatively reliability are needed. 3. Johnson's concept of a dependency subsystem should be clarified. 4. Correlation among the 7 subsystems, and the ingestive and eliminative subsystems should be clarified.

• The Journal of the Acoustical Society of Korea
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• v.18 no.7
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• pp.101-111
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• 1999

This paper presents concrete pattern recognition method to identify the strength of concrete by evidence accumulation with multiple parameters based on artificial intelligence techniques. At first, variance(VAR), zero-crossing(ZCR), mean frequency(MEANF), and autoregressive model coefficient(ARC) and linear cepstrum coefficient(LCC) are extracted as feature parameters from ultrasonic signal of concrete. Pattern recognition is carried out through the evidence accumulation procedure using distance measured with reference parameters. A fuzzy mapping function is designed to transform the distances for the application of the evidence accumulation method. Results(92% successful pattern recognition rate) are presented to support the feasibility of the suggested approach for concrete pattern recognition.

• The Korean Journal of Health Service Management
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• v.10 no.3
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• pp.27-37
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• 2016

Objectives : This study was conducted to test the influence of job stress and calling on the organizational commitment of clinical nurses. Methods : 220 clinical nurses at two university hospitals in Busan were recruited. They were asked to complete a questionnaire, and 192 data sets were included in the statistical analysis. Results : The mean score of the clinical nurses' organizational commitment was 4.0. All subdomains of job stress and calling were found to have correlations with organizational commitment. The organizational system (t=-6.099, p<.001), lack of reward (t=-3.990, p<.001), purpose/meaningfulness (t=3.624, p<.001), and occupational climate (t=-3.581, p<.001) were revealed to have influences on the organizational commitment. The model was statistically significant, explaining 52.2% of the variance (F=47.808, p<.001). Conclusions : To help clinical nurses become committed to their organizations, administrators need to build fair and rational organizational systems, strengthen various types of rewards, and help nurses reconcile nursing and the meaning of their lives. In addition, every nurse should endeavor to change the nursing organizational climate which is based on vertical collectivism, to a rational climate.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.60 no.3
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• pp.349-354
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• 2015

The AMMI (additive main effects and multiplicative interaction) and GGE (genotype main effect and genotype by environment interaction) biplot which were accounted for a substantial part of total sum of square in the analysis of variance suggested to be more appropriate models for explaining G $\times$ E interaction. The grain yield of total ten sesame genotypes was significantly affected by environment which explained 61% of total variation, whereas genotype and genotype x environment interaction (G $\times$ E) were explained 16%, 24% respectively. From the results of experiment, three genotypes Miryang49, Koppoom and Ansan were unstable, whereas other three genotypes Kyeongbuk18, Miryang50 and Kanghuk which were shorter projections to AEA ordinate were relatively stable over the environments. Yangbak which was closeness to the mean yield and short projection of the genotype marker lines was regarded as genotype indicating good performance with stability. Ansan, Miryang48 and Yangbaek showed the best performance in the environments of Naju, Suwon, Iksan and Andong. Similarly, genotype Miyrang47 exhibited the best performance in the environments of Chuncheon and Miryang. Andong is the closest to the ideal environment, and therefore, is the most desirable among eight environments.

• Journal of Hospice and Palliative Care
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• v.23 no.3
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• pp.139-150
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• 2020

Purpose: The purpose of this study was to investigate the levels of end-of-life care competency; knowledge, attitudes, and experiences regarding advance directives; perceptions of good death; and end-of-life care obstacles and supportive behaviors among tertiary care nurses. Methods: The participants were 150 nurses at a tertiary hospital in Jinju, Korea. The data collected using a questionnaire were analyzed using descriptive statistics, the t-test, analysis of variance, Pearson correlation coefficients, and stepwise multiple regression in SPSS for Windows version 24.0. Results: The mean (±SD) score of end-of-life care competency was 3.63 (±0.53) on a 5-point scale. A significant difference in end-of-life care competency was found according to whether nurses had experienced the death of a family member or acquaintance (P=0.029). According to stepwise multiple regression analysis, the factors affecting end-of-life care competency were the frequency of end-of-life care supportive behaviors (β=0.38, P<0.001), experience with advance directives (β=0.29, P<0.001), and marriage (β=0.15, P=0.039). This model had an explanatory power of 27.9% (F=18.87, P<0.001). Conclusion: In order to improve nurses' end-of-life care competency, it is important to strengthen end-of-life care supportive behaviors by exposing nurses to those behaviors and providing frequent experience with advance directives.

• The Korean Journal of Applied Statistics
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• v.8 no.2
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• pp.147-161
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• 1995

The primary objective of this paper is to review parametric models and test statistics related to overdspersion of count data. Poisson or binomial assumption often fails to explain overdispersion. We reviewed real examples of overdispersion in count data that occurred in toxicological or teratological experiments. We also reviewed several models that were suggested for implementing experiments. We also reviewed several models that were suggested for implementing the extra-binomial variation or hyper-Poisson variability, and we noted how these models were generalized and further developed. The approaches that have been suggested for the overdispersion fall into two broad categories. The one is to develop a parametric model for it, and the other is to assume a particular relationship between the variance and the mean of the response variable and to derive a score test staistics for detecting the overdispersion. Recently, Dean(1992) derived a general score test statistics for detecting overdispersion from the exponential family.

• Research in Community and Public Health Nursing
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• v.22 no.2
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• pp.111-120
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• 2011

Purpose: The purpose of this study was to investigate osteoporosis knowledge, health beliefs, and influencing factors on health behaviors among female college students. Methods: Using the Osteoporosis Quiz, the Health belief Scale, and the Health Behavior Questionnaire, data were collected from 314 female college students from 4 universities located in Chungcheong providence. Results: The mean scores of knowledge and health belief were $12.7{\pm}3.81$ and $90.9{\pm}12.66$, respectively. There was a statistically significant correlation between osteoporosis knowledge and health belief (p<.001). Also, a statistically significant correlation was found between health belief and health behavior (p<.001). According to the regression model, knowledge, perceived benefit, perceived barrier, family history of osteoporosis, and health interest explained 6.7% of total variance in health behavior. Conclusion: Female college students should be taught to be aware of the importance of proper dietary intake and regular exercise as a way to maintain or promote the health of their bones so that they can prevent osteoporosis.

• Journal of the Korean Society of School Health
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• v.25 no.2
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• pp.222-230
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• 2012

Purpose: This study was done to identify levels of health teacher's perception and performance on abdominal pain management in elementary schools. Methods: The participants were 207 health teachers in elementary school in B metropolitan city. In a descriptive cross-sectional study, the structured self-report questionnaire was developed based on the literatures and school health care guidelines by the researchers. The data were analyzed using the PASW 18.0 program. Results: The mean scores (${\pm}SD$) on perception and performance of abdominal pain management were $4.02{\pm}0.43$ (range 1~5) and $3.47{\pm}0.41$ (range 1~5), respectively. Their perception and performance of abdominal pain management had a statistically significant correlation (r=.27, p<.001). In a regression analysis, the performance of abdominal pain management was significantly influenced by perception of abdominal pain management, career of health teachers, self-confidence in abdominal pain management, and total number of classes in a school. The regression model explained 19% of the variance of performance of abdominal pain management. Conclusion: These findings showed that the performance levels were lower than its perception levels of elementary school health teachers on abdominal pain management for students. It suggests that the standardized abdominal pain management guideline is developed to improve the performance of school health teachers.

• The International Journal of Costume Culture
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• v.3 no.1
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• pp.30-40
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• 2000

The purpose of this research was to device thermal comfort model for radiation power plant workers in protective clothing. Three fabrics commonly used in protective workwear were made into coveralls of identical design and were evaluated by adult healthy males in four simulated work environment. It was investigated between the physiological response and subjects comfort according to environmental variance and clothing types. The of simulated work enviro mensent was controlled under four different humidity and temperature of each type. (Temperature 20±1℃, RH 40∼70%±5%, Temperature 30±1℃, RH 40∼70%±5%) An index of physiological response was connected with the thermal comfort designed. Mean skin temperature, skim temperature, Axillasy temperature ear canal temperature, clothing climate, total sweat, blood pressure, and R-R interval were be evaluated. Skin temperature difference ocurring during exercise and rest were significant only with respect to time and regions of the body, This despite physical differences in the three coveralls, particulary mass statistically experiment. Also, an index of subject wearing sensation was designed for thermal comfort after investigation determined the kind of clothes and the type of environment. As a result of this research, two types of multiple regressions was deviced to estimate thermal comfort of the protective clothing.