• Korean Journal of Rural Living Science
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• v.7 no.2
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• pp.139-152
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• 1996

The objectives of this study are : (1) to measure the level of economic stress perception in Korean farm households. (2) to identify the effects of related variables such as socio-demographic variables and economic stability. The data from 505 farm households' wives was analyzed using statistical methods such as frequency, correlation, oneway ANOVA, lease significant difference test, and stepwise multiple regression. The major findings are as follows : The mean value of economic stress perception on the 505 wives was 33.5 points out of a possible 100. Among 3 subsectors, income stress perception had highest score. Socio- demographic variables such as family size, type of farm household, financial manager, debt, credit . grant assistant, wife's age, and educational level of the wife had a significant difference on the economic stress perception of wives in the ANOVA analysis. So did the objective and subjective evaluation of economic stability. As a result of multiple regression analysis, economic stability, debt presence, and wife age were verified explaining 23% of the variance of economic stress perception. Therefore, it can be said that farm wives had relatively high economic stress perception in the case of low economic stability, getting into debt and low age.

• Proceeding of EDISON Challenge
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• 2016.03a
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• pp.209-216
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• 2016

Holes of rivets, bolts and nuts may cause stress concentration on the plates used in aircraft, ship and other structures. Excessive stress concentration may lead to severe breakage of the plates. Thus, accurate analysis of the stress concentration at the design stage will be important. In this paper, accuracy of EDISON program in stress concentration analysis was examined. By changing hole size on a narrow plate, the change of the stress concentration factor(K) was investigated. Additionally, the same experiment was conducted about series of holes on plate to investigate the interaction between adjacent holes. Then, these numerical results were compared with the analytic prediction. EDISON program showed very high accuracy about stress concentration, since the numerical results was correlated well with the analytic prediction.

• Journal of Korean Clinical Health Science
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• v.8 no.2
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• pp.1444-1449
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• 2020

Purpose: The purpose of this study were to identify degree and the relationship between of self-efficacy, social support, and academic stress of nursing college students. Method: This study was a descriptive research study to analyze the factors affecting academic stress. Data were collected by structured questionnaires from June 10 to 30, 2020. The survey conducted an online survey of 159 students in D and B city. Data were analyzed descriptive statistics, Pearson's correlation coefficient, and Stepwise multiple regression Results: Academic stress were correlated with self-efficacy(r=-.41, p<.001) and social support(r=-.40, p<.001). In a multiple regression, self-efficacy(β=-.170, p=.010), social support(β=-.137, p=.042) were associated academic stress. These factors attributed to 22.2% of the total variance in academic stress. Conclusion: Therefore the factors affective intervention techniques need to be applied to the development of programs to upgrade mental health academic stress of nursing students.

• Journal of Environmental Health Sciences
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• v.28 no.3
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• pp.72-76
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• 2002

This study aims to explore the importance of job stress for hospital employees and psychosocial risk factors of their job stress. 1,890 survey questionnaires collected from 14 hospitals are used for the analysis. The study results shows that stress is the most important risk factor perceived by hospital workers. Also stress-related symptoms and diseases are perceived to occur most frequently among hospital employees. The multiple logistic regression analysis shows age, working hours, shiftwork, job demand, decision-latitude and social support from supervisor and colleagues affect stress level of hospital employees.

• Composites Research
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• v.36 no.1
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• pp.42-47
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• 2023

In this paper, we present a fatigue life prediction methodology using multiple S-N curves according to the different stress states of laminated composites. The stress states of the plies of the laminated composites are classified into five modes: longitudinal tension or compression and transverse tension or compression, and shear according to the maximum stress criterion and Puck's criterion with a scaling factor K. This methodology has advantages in computational cost, and it can also consider microstructural characteristics of the composites by applying different S-N curves. The S-N curves for the fatigue analysis are obtained by experimental fatigue test. The proposed methodol is implemented into commercial software, ABAQUS user material subroutine and therefore, the fatigue analysis is conducted using the structural analysis results. The finite element (FE) simulation results are presented for unidirectional composites with and without open-hole. The FE simulation results show that the stress condition is different depending on the fiber orientation of the unidirectional composite, so the fatigue life is calculated with different S-N curves.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.594-601
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• 2020

Purpose: The purpose of the present study was to identify factors affecting anxiety about disaster damage potential in Gyonggi-do and evacuation behavior that influences evacuation behavior. Method: Multiple regression analysis was performed to test the hypothesis and to analyze the influence of anxiety about disaster damage potential and perceived stress, and analyzed similarity in correspondence between age and anxiety about disaster damage potential. Results: The anxiety about disaster damage potential of a group vulnerable to safety and anxiety about disaster damage potential of disaster system collapse were perceived in close proximity. Disaster system collapse, evacuation life, and natural disasters were found to be factors affecting perceived stress. Stress and natural disasters were found to be influencing factors on evacuation behavior. Conclusion: The necessity of managing stress was confirmed since anxiety about natural disaster damage potential and stress affect evacuation behavior. The recent experiences of heavy rain disasters indicate that the anxiety about disaster damage potential is expected to increase. The findings also indicate the importance of preventive planning and psychological management to manage the anxiety about disaster damage potential.

• Smart Structures and Systems
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• v.15 no.1
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• pp.135-150
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• 2015

Large concrete structures are prone to cracks and damages over time from human usage, weathers, and other environmental attacks such as flood, earthquakes, and hurricanes. The health of the concrete structures should be monitored regularly to ensure safety. A reliable method of real time communications can facilitate more frequent structural health monitoring (SHM) updates from hard to reach positions, enabling crack detections of embedded concrete structures as they occur to avoid catastrophic failures. By implementing an unconventional mode of communication that utilizes guided stress waves traveling along the concrete structure itself, we may be able to free structural health monitoring from costly (re-)installation of communication wires. In stress-wave communications, piezoelectric transducers can act as actuators and sensors to send and receive modulated signals carrying concrete status information. The new generation of lead zirconate titanate (PZT) based smart aggregates cause multipath propagation in the homogeneous concrete channel, which presents both an opportunity and a challenge for multiple sensors communication. We propose a time reversal based pulse position modulation (TR-PPM) communication for stress wave communication within the concrete structure to combat multipath channel dispersion. Experimental results demonstrate successful transmission and recovery of TR-PPM using stress waves. Compared with PPM, we can achieve higher data rate and longer link distance via TR-PPM. Furthermore, TR-PPM remains effective under low signal-to-noise (SNR) ratio. This work also lays the foundation for implementing multiple-input multiple-output (MIMO) stress wave communication networks in concrete channels.

• Journal of agricultural medicine and community health
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• v.33 no.2
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• pp.221-231
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• 2008

Abstract - Objective: This study was conducted to investigate the effect of work conditions on job stress of social workers in Seoul. Method: For this survey, a self-reported questionnaire was administrated to 1,000 social workers working in all of organization for social welfare practice in Seoul. The number of responded questionnaires was 431. Multiple linear regression analysis was used for job stress as the dependent variables and control variables. Results: The result of multiple linear regression analysis indicated that regular rest breaks had significantly effect on job stress level but long working hours did not. When regular rest breaks was guaranteed job stress of social workers significantly lowered 8.4 point. In addition standardized regression coefficients and partial R2 of regular rest breaks was the highest score among the variables. Conclusion: This study suggests that it is the most important to guarantee regular rest breaks in the work schedule in order to alleviate job stress of social workers.

• Korean Journal of Adult Nursing
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• v.28 no.3
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• pp.279-287
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• 2016

Purpose: The purpose of this study was to identify factors influencing a family's quality of life (QoL) when one member has a liver transplantation. Methods: A total of 98 families were asked questions about characteristics, stress, social support and QoL. The instruments used for this study were the Stress Scale for Families of Liver Transplantation Recipients, the Personal Resources Questionnaire, the Korean version of QoL Simple Type Scale. Data were analyzed by t-test, ANOVA, Pearson's correlation coefficient and multiple regression. Results: The mean scores of stress was $2.58{\pm}0.75$ and of social support was $4.81{\pm}0.87$. The mean of the QoL was $3.39{\pm}0.60$. Quality of life had significant correlations with stress and social support. Using multiple regression analysis, the QoL was significantly influenced by social support, stress and monthly average household income. Conclusion: The results suggest that social support, stress and income should be considered in developing the nursing interventions to improve the QoL of families of patients with liver transplantation.

• Journal of muscle and joint health
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• v.20 no.2
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• pp.141-150
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• 2013

Purpose: This study was conducted to identify relationships among nursing activities, the use of body mechanics, and job stress in nurses with low back pain. Methods: Participants were 225 nurses with low back pain working at an university hospital. The data were collected with self-reported questionnaires at March, 2012 and analyzed by descriptive statistics, t test, ANOVA, Scheff$\acute{e}$e test and multiple regression analyses. Results: There was significantly a higher degree of pain in subjects who working at special units including intensive care units and emergency room than at general wards. Low back pain was negatively correlated with the use of body mechanical principles while it was positively associated with the degree of job stress. According to results of multiple regression analyses, low back pain was significantly associated with the use of body mechanics and job stress in nurses working at general ward and special units including intensive care units and emergency room. Conclusion: The use of the principles of body mechanics and reducing job stress are important to prevent low back pain in nurses. It is necessary to develop and apply stress management and education program about the use of the principles of body mechanics.