Purpose: This study investigated the relationships among parenting stress, husband's support, and breastfeeding adaptation in mothers. Methods: A correlational survey design was utilized in this study. Data were collected from 181 breastfeeding mothers with infants under 12 months of age. Participants were recruited from the outpatient clinic, a child photo studio, or from the kid's cafe from July 22 to September 13, 2016. Instruments for collecting data included Childcare Stress Inventory (CSI), Husband's Support scale, and the Breastfeeding Adaptation scale. Data were analyzed using SPSS 21.0 by frequency, descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficient and multiple regression. Results: Of the 181 subjects, 54.7% responded they only breastfed with 75.7% who received breastfeeding education. Seventy-two percent of mothers made a decision to breastfeed by themselves. The mean score was $2.39{\pm}0.53$ for parenting stress, $3.07{\pm}0.43$ for husband's support, and $3.85{\pm}0.49$ for breastfeeding adaptation. Factors influencing breastfeeding adaptation were identified as lower parenting stress (${\beta}=-.54$), greater husband's support (${\beta}=.31$), breastfeeding (${\beta}=.31$), and older age of baby (${\beta}=.14$), with 56.0% that explained variance. Conclusion: This study reports that parenting stress has negative effect on breastfeeding adaptation, while husband's support has positive effect. Results may be useful in developing new strategies for enhancing breastfeeding adaptation.
Journal of the Korea Society of Computer and Information
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v.20
no.5
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pp.141-150
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2015
The object of this study is finding out the relational effect of perceived crowding of international airport on emotional response and revisit intention. The data of this study was collected by questionnaire and based on Incheon international airport visitors. A total 260 validity sample was analyzed a frequency analysis, reliability analysis, exploratory factor analysis and correlation coefficient analysis from SPSS 21, a hypothesis through out confirmatory factor analysis and structural equation modeling from AMOS 7.0. As a result of this study, visitors' human perceived crowding of international airport and positive emotional response showed a significant effects on revisit intention.
Super long-span bridges provide people with great convenience, but they also bring traffic safety problems caused by strong wind owing to their high decks. In this paper, the large eddy simulation together with dynamic mesh technology in computational fluid dynamics (CFD) is used to explore the mechanism of a moving vehicle's transient aerodynamic force in crosswind, the regularity and mechanism of the vehicle's aerodynamic forces when it passes through a bridge tower's wake zone in crosswind. By comparing the calculated results and those from wind tunnel tests, the reliability of the methods used in the paper is verified on a moving vehicle's aerodynamic forces in a bridge tower's wake region. A vehicle's aerodynamic force coefficient decreases sharply when it enters into the wake region, and reaches its minimum on the leeward of the bridge tower where exists a backflow region. When a vehicle moves on the outermost lane on the windward direction and just passes through the backflow region, it will suffer from negative lateral aerodynamic force and yaw moment in the bridge tower's wake zone. And the vehicle's passing ruins the original vortex structure there, resulting in that the lateral wind on the right side of the bridge tower does not change its direction but directly impact on the vehicle's windward. So when the vehicle leaves from the backflow region, it will suffer stronger aerodynamic than that borne by the vehicle when it just enters into the region. Other cases of vehicle moving on different lane and different directions were also discussed thoroughly. The results show that the vehicle's pneumatic safety performance is evidently better than that of a vehicle on the outermost lane on the windward.
Purpose: The purpose of this study was to evaluate for the presence of posttraumatic stress disorder (PTSD)-related symptoms, anxiety, and depression after stroke. Eighty-four patients were enrolled between 2 and 12 months after their first ischemic or hemorrhagic stroke. Methods: PTSD symptoms were evaluated using the Impact of Event Scale (IES). The IES is a 15-item scale measuring intrusion and avoidance symptoms. The authors assessed mood alterations using the Hospital Anxiety and Depression Scale (HAD). The HAD is a brief, 14-item, self-reported questionnaire used to detect symptoms of anxiety (HADA) and depression (HADD). The survey data were analyzed using the SPSS 10.0 program. Frequency, mean, standard deviation, percentage t-test, and Pearson correlation coefficient were determined. Results: Twenty nine of the 84 (34.5%) patients scored higher than the cutoff for PTSD on the IES (IES>26). With use of the HAD scale, 44% of the patients reached the cutoff for anxiety ($HADA\;{\geq}8$). On the HSD scale, 44.1% of the patients reached the cutoff for depression ($HADD\;{\geq}8$). PTSD symptoms and anxiety were more frequent in women under age 39, without spouses, who had operations. Depression was more frequent in patients without spouses. There was a statistically significant correlation among posttraumatic stress symptoms, anxiety, and depression. Conclusion: There was statistically significant correlation among PTSD symptoms, anxiety, and depression in stroke patients. Therefore, it is necessary to develop nursing intervention for stroke patients with these clinical manifestations.
The purpose of this study was to determine the factors for professional consciousness of caregivers and provide basic data that could help develop a intervention to promote their professional consciousness. For this descriptive research, a survey was conducted to collect data from 110 caregivers in G City for six weeks in September 2019. Descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression were used. They scored 3.41 for calling and 3.23 for Communication Competence and 4.12 for job satisfaction. Professional consciousness was positively correlated with job satisfaction (r=.636, p<.001) and calling (r=.356, p<.001) and Communication Competence (r=.378 p<.001). job satisfaction (B=.329, p<.001), followed by Communication Competence (B=.216, p<.001) and calling(B=.165, p=.002), had the strongest impact on professional consciousness, accounting for 57.5% in general. It is necessary to give job satisfaction reinforcement training constantly in long-term care givers. It is also necessary to conduct education and research that can promote professional consciousness.
Purpose: This study aimed to investigate the correlation among perfectionism, academic resilience and subjective well-being in order to identify factors that affect subjective well-being in Korean undergraduate students. Methods: This study is a descriptive study. This study was performed on 245 students currently studying in a national university in S city. A structured questionnaire was used to collect data regarding the multidimensional perfectionism scale, the academic resilience scale, and the subjective well-being scale. Collected data were analyzed using descriptive statistics, Pearson's correlation coefficient and stepwise linear multiple regression with SPSS 25.0 for Windows. Results: Participants' scores for self-oriented perfectionism (SOP), other-oriented perfectionism (OOP), and socially prescribed perfectionism (SPP), academic resilience and subjective well-being were 64.64±12.78, 53.62±8.90, 56.98±8.96, 92.60±19.55, and 82.93±9.72, respectively. SPP showed a negative correlation with subjective well-being (r=- .27, p<.001), while academic resilience showed a positive correlation with subjective well-being (r=.20, p=.001). Satisfaction with school life, SPP, and academic resilience were identified as factors influencing subjective well-being and explained about 22% of the variance in subjective well-being. Conclusion: This study suggests that we need to identify various factors influencing subjective well-being and accordingly develop nursing interventions to improve undergraduate students' subjective well-being.
Kim, Sooyeon;Kim, Ji Man;Park, Chong Yon;Lee, Chang-Woo;Lee, Sang Gyu;Shin, Euichul
Health Policy and Management
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v.28
no.1
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pp.15-22
/
2018
Background: Health is affected by various local factors. This study aims to investigate the age-standardized mortality variation of Seoul as well as the characteristics of the factors related to the mortality variation. Methods: The Korea Community Health Survey data, Seoul Survey data, Seoul statistics, and e-regional indicators of the National Statistical Office were used. To investigate the basic boroughs standardized mortality variation in Seoul, external quotient, coefficient of variation (CV), and systematic component of variation (SCV) values were suggested; correlation analysis and multiple regression analysis were conducted to investigate the characteristics related to standardized mortality rate. Results: The highest and the lowest standardized mortality rate of Seoul by boroughs had as much as 1.4 times difference; a low level of variation was shown in CV by 8.2; and was shown in SCV by 79. As a result of the multiple regression analysis of the factors that affect standardized mortality variation, the higher the rate of householders with college or higher, the lower the standardized mortality rate, and the higher the high-risk drinking rate, the higher the standardized mortality rate. Of the two, the rate of householder with a degree equivalent or higher than college was shown to have the biggest impact, followed by high-risk drinking rate. Conclusion: We found a variation in age-standardized mortality rate of boroughs in Seoul. The results suggest that policy makers should take into account socioeconomic environmental characteristics of community in developing community-based health promotion rather than focusing on lifestyle changes of residents.
This research is significant in terms of estimating the validity by setting evaluation items in view of integrating not only original beauty and visual areas but also natural ecological areas based on questionnaire. The results are as follows. 1) According to literature study, 17 items such as variety, the character of sites in terms of landscape, the beauty of landscape, visibility, and ratio of green visibility are selected. Also, 21 items such as variety of animals and plants species, size of green area, and ecological naturalness are selected in the area of landscape ecological resources. 2) As a result of questionnaire of the group of landscape experts, animals and plants ecological areas show 5.6341, the highest in importance analysis according to assessment areas. Also, as a result of importance analysis on items in each area, for example, in the area of visual resources, the item of skyline analysis is 6.0488, the highest. 3) As a result of corelation of item meaning on landscape effect assesment, for example, meaningness of psychological assessment item and landscape site item indicate 0.710, the highest coefficient correlation. 4) As critical assessment items per unit project, items such as damage minimization of original land features for project in terms of point, ratio of green visibility, variety of animals and plants species marked above 8.0 as high important medium. The project in terms of line, minimization of original land features, preservation of worthy biotope showed high point and the character of sites in terms of landscape, minimization of original land features, the size of green area, and analysis of skyline marked above 8.5 as high importance points. On the contrary, items for climate and soil showed relatively low points.
Purpose - The Regional Comprehensive Economic Partnership (RCEP) among 16 countries including South Korea, the largest free trade agreement in the Asia-Pacific region, will be concluded next year. The participating countries decided to pursue a comprehensive and high -quality agreement, while ensuring flexibility considering development level of each country. In this study, trade structures between nations from 2005 through 2016 were examined to see the impact that this agreement will have on Korea and to come up with effective countermeasures. Research design, data, and methodology - The method of analysis includes the analysis of the trade matrix, which is useful for identifying the dependency of the individual countries on the market in the region and the reciprocal dependency of the member countries on the market, and the index of intensity of trade, which is useful for figuring out the share of trade between the parties in total trade. Results - The results showed that first, the international trade coefficients of Vietnam and Philippines are higher than those of China and Japan. Secondly, the international inducement coefficients between China and Japan were high, and that between Indonesia and Burma were low, indicating that Korea's exports did not have much effect on export increase of these countries. Third, as a result of analyzing Korea's trade intensity, it was found that export intensity and import intensity were greater than 1 in Vietnam and Philippines, which shows that there is a high degree of relational bond with these countries. India and Laos countries still have a low level of relational bond, which indicates that there is room for improvement in economic relations when the agreement is concluded. After the signing of the agreement in the future, more diverse industrial structures should be continuously studied. Conclusions - The analysis of trade matrix, trade structure, trade inducement coefficient and trade intensity between Korea and RCEP participating countries shows that the majority of the countries have the high level of economic relationship with Korea. Korea should drive a harder bargain when negotiating the terms of the RCEP, in comparison with the level of the existing FTA agreement excluding Japan.
The surrounding rocks of underground openings are natural materials and their mechanical behavior under seismic load is different from traditional man-made materials. This paper proposes a framework to comprehensively model the mechanical behavior of surrounding rocks. Firstly, the effects of seismic load on the surrounding rocks are summarized. Three mechanical effects and the mechanism, including the strengthening effect, the degradation effect, and the relaxation effect, are detailed, respectively. Then, the framework for modelling the mechanical behavior of surrounding rocks are outlined. The strain-dependent characteristics of rocks under seismic load is considered to model the strengthening effect. The damage concept under cyclic load is introduced to model the degradation effect. The quantitative relationship between the damage coefficient and the relaxation zone is established to model the relaxation effect. The major effects caused by seismic load, in this way, are all considered in the proposed framework. Afterwards, an independently developed 3D dynamic FEM analysis code is adopted to include the algorithms and models of the framework. Finally, the proposed framework is illustrated with its application to an underground opening subjected to earthquake impact. The calculation results and post-earthquake survey conclusions are seen to agree well, indicating the effectiveness of the proposed framework. Based on the numerical calculation results, post-earthquake reinforcement measures are suggested.
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