• Physical Therapy Korea
• /
• v.20 no.4
• /
• pp.1-8
• /
• 2013

This study analyzes how different knee flexion angles affect the abdominal and pelvic muscle activity during supine bridging. Twenty healthy subjects participated in the study. We used surface electromyography (EMG) to measure how three different knee flexion angles ($100^{\circ}$, $70^{\circ}$, and $40^{\circ}$) affected the activity of the transverse abdominis/internal oblique (TrA/IO), external oblique (EO), biceps femoris (BF), rectus femoris (RF), and gluteus maximus (GM) muscles on the dominant side during supine bridging. The one-way repeated analysis of variance (ANOVA) was used to determine the statistical significance of TrA/IO, EO, BF, RF and GM muscle activity and the GM/BF activity ratio. For the TrA/IO, EO, BF, and GM muscles, supine bridging with different knee flexion angles resulted in significant differences in abdominal and pelvic muscle activity. For the TrA/IO muscles, the post-hoc test demonstrated that muscle activity significantly increased at $40^{\circ}$ compared to $70^{\circ}$; however, there were no significant differences between $100^{\circ}$ and $70^{\circ}$ or $100^{\circ}$ and $40^{\circ}$. For the EO muscle, the post-hoc test demonstrated that muscle activity significantly increased at $40^{\circ}$ compared to $100^{\circ}$ and $70^{\circ}$; no significant difference was observed between angles $100^{\circ}$ and $70^{\circ}$. For the BF muscle, the post-hoc test demonstrated that muscle activity significantly increased according to the knee flexion angle ($40^{\circ}$ > $70^{\circ}$ > $100^{\circ}$). For the GM muscle, the post-hoc test demonstrated that muscle activity significantly increased according to the knee flexion angle ($100^{\circ}$ > $70^{\circ}$ > $40^{\circ}$). However, for the RF muscle, there was no significant difference. Additionally, the GM/BF activity ratio significantly increased according to the knee flexion angle ($100^{\circ}$ > $70^{\circ}$ > $40^{\circ}$). From these results, we can conclude that bridging with a knee flexion of $100^{\circ}$ can strengthen the GM muscle, whereas bridging with a knee flexion of $40^{\circ}$ is recommended to strengthen the IO, EO, and BF muscles. We can also conclude that knee flexion angles should be modified during supine bridging to increase the muscle activity of different target muscles.

• Journal of Korean Society of Transportation
• /
• v.21 no.3
• /
• pp.15-22
• /
• 2003

In general, the linear regression model has been used to estimate trip generation in the travel demand forecasting procedure. However, the model suffers from several methodological limitations. First, trips as a dependent variable with non-negative integer show discrete distribution but the model assumes that the dependent variable is continuously distributed between -$\infty$ and +$\infty$. Second, the model may produce negative estimates. Third, even if estimated trips are within the valid range, the model offers only forecasted trips without discrete probability distribution of them. To overcome these limitations, a poisson model with a assumption of equidispersion has frequently been used to analyze count data such as trip frequencies. However, if the variance of data is greater than the mean. the poisson model tends to underestimate errors, resulting in unreliable estimates. Using overdispersion test, this study proved that the poisson model is not appropriate and by using Vuong test, zero inflated negative binomial model is optimal. Model reliability was checked by likelihood test and the accuracy of model by Theil inequality coefficient as well. Finally, marginal effect of the change of socio-demographic characteristics of households on trips was analyzed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.4
• /
• pp.529-537
• /
• 2021

Although the use of physical restraints is controversial, it is still commonly used in hospitalized patients to prevent patient accidents in clinical practice. It is, therefore, necessary to evaluate the knowledge, attitude, perception, and nursing practices related to the use of physical restraints. This was a cross-sectional descriptive study in which self-administered questionnaires were collected from 144 nursing students at two Universities. Descriptive statistics, including t-test, one-way ANOVA, Pearson correlation coefficients, and multiple regression, were applied to analyze the data collected. Our results reveal that the mean knowledge score of nursing students regarding the use of physical restraints was 11.55±2.81, the mean attitude score was 60.01±7.24, the mean perception score was 59.97±10.68, and the mean nursing practice score was 38.04±4.15. Significant positive correlations were observed between nursing practice and knowledge, attitude, and perception. Multiple regression analysis showed that the factors significantly related to nursing practice and the use of physical restraints were perception (β=.23, p=.005) and attitude (β=.21, p=.009), having a total explained variance of 13.0%. The findings from this study suggest that perception is the strongest predictor of the use of physical restraints in nursing practice. Thus, it is necessary to develop and apply an evidence-based educational intervention program to ensure that nursing students correctly understand the need for physical restraints and later use them appropriately in clinical practice.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.8
• /
• pp.381-391
• /
• 2019

The purpose of this study was to investigate the factors having an influence on adjusting to the university life of freshmen and sophomore nursing students. The data was collected from questionnaires that were filled out by 150 nursing students in one school from November 1, 2018 to November 20, 2018. The data was analyzed by the SPSS 22.0 program (frequency, ANOVA, Pearson's correlation and multiple regression analysis). The mean score of university life adjustment was $75.85{\pm}9.43$ (range: 25~125). A negative correlation was found between adjustment to university life and stress, A positive correlation was found between adjusting to university life and self efficacy. Negative correlation was found between stress and self efficacy. The factors influencing the adjustment of freshmen and sophomore nursing students to university life were health promoting behavior (sleeping time, snacks, drinking, and leisure time or having a hobby), stress and self efficacy. In addition, health promoting behaviors, stress and self efficacy accounted for 13.9% of the variance in adjusting to university life. The results of this study suggest that health promoting behavior, stress and self efficacy are important to the adjustment to university life for freshmen and sophomore nursing students. Further research on improving health promoting behavior, reducing stress and improving self efficacy is warranted. An intervention program that includes these significant variables of such subjects should be developed to improve adjusting to the university life of nursing students.

• Journal of Hospice and Palliative Care
• /
• v.22 no.3
• /
• pp.134-143
• /
• 2019

Purpose: This methodological study was conducted to test the reliability and validity of an instrument that measures attitudes of advance directives (ADs) among nurses. Methods: 1) Sixteen items related to attitudes in the English version of the Knowledge, Attitudinal, and Experiential Survey on Advance Directives (KAESAD) were forward/backward translated into Korean. 2) The content was validated by an expert panel (three nursing professors and eight hospice nursing specialists). 3) The preliminary 12 items were selected as a tool to assess the Korean version of Nurses' Attitudes towards Advance Directives (NAAD-K). 4) The instrument was validated by a survey (n=216). 5) It was confirmed to use the 12 items for the final version of the instrument. Results: NAAD-K was shown to be valid in terms of factors, items and content. The three factors extracted from the factor analysis were named as follows: Caring for patients with an AD (factor 1), nurses' role in informing patients (factor 2) and patient right (factor 3). The three factors explained total variance 57.796%. Factor loadings of the 12 items ranged from 0.47 to 0.93. For the 12 items, Cronbach's alpha was 0.81, and Guttman split-half coefficient was 0.78. Conclusion: This instrument was identified to be applicable with satisfactory reliability and validity for further use in measuring nurses' attitudes towards ADs in hospice and palliative care.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.4
• /
• pp.137-148
• /
• 2019

This study was conducted to investigate the factors influencing burnout of nurses in long-term care hospitals based on the expanded JD-R model (Xanthopoulou et al, 2007). Participants were 167 nurses who worked in long-term care hospitals. The instruments used in this study were the Maslach Burnout Inventory, Copenhagen Psycho-social Questionnaire version II, Connor-Davidson Resilience Scale and the instrument developed by Thomas and Ganster (1995). Data were collected from August 25 to September 6, 2018 and analyzed based on frequency, t-tests, ANOVA, Pearson's correlation, and hierarchical regression using the SPSS WIN 23.0 program. The results were as follows: Nurses' burnout in long-term care hospitals was positively correlated with job demands (r=.24, p=.002) and negatively correlated with resilience (r=-.43, p<.001) and social support (r=-.41, p<.001). Factors influencing the level of burnout were resilience (${\beta}=-.28$, p<.001), social support (${\beta}=-.20$, p=.016), and job demands (${\beta}=.17$, p=.016) ), which together explained 32.0% of the total variance in burnout. Therefore, we strongly recommend interventions that reduce job demands and enhance resilience and social support to prevent and reduce the burnout of nurses in long-term care hospitals.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.3
• /
• pp.194-202
• /
• 2019

This study examined the emotional intelligence and social support in relation to resilience in order to identify the factors influencing resilience in student nurses. The participants were 228 student nurses from two colleges in B City. The data were analyzed using a t-test, ANOVA, Pearson correlation coefficient, Scheffe test and multiple regression analysis by SPSS ver. 21.0. The mean score for emotional intelligence, social support, and resilience level was 5.36 out of 7 points, 4.13 out of 5 point, and 2.68 out of 4 points, respectively. Resilience was positively correlated with emotional intelligence (r=.665, p<.001) and social support (r=.495, p<.001). The results of this research suggest that social support is an important variable affecting resilience in student nurses. The factors affecting resilience were social support (${\beta}=.464$, p<.001), emotional intelligence (${\beta}=.169$, p=.004), and aptitude (${\beta}=.162$, p=.006). Resilience explained 50.4% of the variance in social support, emotional support, and aptitude. To increase the resilience of student nurses, managers need to develop resilience programs and training for managing social support, emotional intelligence, and aptitude.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.357-365
• /
• 2019

This study was conducted to identify correlations in clinical nurses' personality, resilience and happiness index to provide basic resources for nurses' happiness at work. Methods: From May 1 to 15, 2019, self-report questionnaires were distributed and collected from 307 of clinical nurses in 10 hospitals located in P-metropolitan city and K-province. Analyses included descriptive statistics, t-test, Analysis of Variance, Pearson's correlation coefficient, and multiple regression, conducted using IBM SPSS/WIN 24.0. Mean scores were nurses' personality 3.67, resilience 3.28, and happiness index 3.28. There were significant differences on the happiness index for: clinical experience, type of work, and leisure activities and a positive correlation between personality and resilience, between personality and happiness index and between happiness index and resilience. Happiness index was influenced by clinical experience 'Less than 1-5' (${\beta}=-.41$), '${\geq}10$' ${\beta}=-.39$), 'Less than 5-10' (${\beta}=-.34$), resilience (${\beta}=.35$), personality (${\beta}=.29$), type of work '3 shifts' (${\beta}=.12$), leisure activities (${\beta}=.10$). Explanatory power of these variables was 41%. Conclusion: Based on the findings of this study, so it is necessary to operated the career management, work management, personality training, support for resilience promotion program and leisure activities in order to increase the happiness index of hospital nurses.

• Journal of the Korea Convergence Society
• /
• v.10 no.10
• /
• pp.301-308
• /
• 2019

The purpose of this study is to understand the relationship between personality, stress and college adjustment of nursing college students and to identify the factors influencing college adjustment. The data collected from December 14, 2017 to December 19, 2017, and the questionnaire from 193 nursing students in D City. The data were analyzed by t-test, one-way ANOVA and Scheffe's test, Pearson's correlation and multiple regression analysis. The mean scores of major satisfaction, was $6.32{\pm}2.03$, personality was $3.76{\pm}.43$, stress was $1.57{\pm}.37$, and college adjustment was $3.30{\pm}.65$. There were positive correlations between college adjustment and major satisfaction(r = .41, p <.001), as well as between personality (r = .60, p <.001). The significant factors influencing the college adjustment were number of consultation, major satisfaction and personality, which explained 49% of the variance in the college adjustment. Based on these findings, programs that develop personality are necessary for college nursing students in order to promote college adjustment.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.30 no.1B
• /
• pp.101-105
• /
• 2010

Sunflower (Sunking4505) and Rape (Sunmang) are oil-seeds containing high oleic acid, and these are used for the production materials of bio-diesel and applying for phytoremediation. The effect of cadmium on germination rate and the growth of the plants is evaluated. Object seeds were placed in Cd (0, 1.5, 4, 12, 30, 60, 100, 150, 300, 500 mg/L) solutions for seven days, and germination rate, root length, shoot length, seedling length, and dry weight were observed. $IC_{50}$, seedling vigor index, and tolerance indices were computed, and data were statistically analyzed by Analysis of Variance (ANOVA). Germination rate as well as root, shoot, and seedling length decreased as the cadmium concentration increased except dry weight. The $IC_{50}$ of sunflower and rape are 112 and 10 mg-Cd/L, respectively. Only one of the sunflower seeds is germinated at 500 mg-Cd/L whereas rape seeds are not germinated more than 150 mg-Cd/L solution. Root has higher cadmium sensitivity than shoot, and sunflower has higher germination rate, growth, and seedling vigor index than rape. In case of tolerance indices, sunflower has lower value than rape at relatively low concentration, but has higher value at high concentration.