Psychological stress is a growing issue in work stress research because work stressors are closely related to depression; and depression, in turn, decreases organizational effectiveness. Considering such causal relationships of work stress, a comprehensive source to control work stress is needed for worksite mental well-being. This study was conducted to identify how social support at work controlled work stress and which characteristics of social support were effective on work stress reduction. The study participants were 240 workers employed in a public hospital in Georgia, U.S.A self-administered survey was given to employees with their pay slips, and followed by a hospital wide voice reminder for 7 days. Surveys were conducted over a 20-day period. The questionnaires asked about job demands, job control, social support at work, depression, job performance, absenteeism, and demographics. The social support construct was structured on the source of support at work and the kinds of support were provided. Statistical analyses were conducted in the structural equation modeling approach. Social support at work was directly related to high job control, low depression, and high job performance. High score of social support at work were significantly associated with high job control, low depressive symptoms, and high job performance. By source of support, only organizational support was positively related to high job control. Organizational support was more effective than supervisor and coworker support. Any stressors and their outcomes were not differenciated by the kinds of support. This result indicated that job control was influenced more by the source of support than the kinds of support provided at work; and the most efficient source of support was the organization. Organizational support was a strong factor in improving workers" perceived controllability of their jobs from a work stress reduction perspective.tive.
Purpose: This study is to identify the relationship among married nurses' social support, work-family conflict and work-family enrichment and to examine the influence of social support on work-family conflict and work-family enrichment. Methods: Data were collected from married nurses working at three hospitals with more than 100 beds in J Province and analyzed by descriptive statistics, t-test, ANOVA, Mann-Whitney U test, Kruskal-Wallis H test, Pearson's correlation analysis and hierarchical regression analysis using SPSS 21 program. Findings: In the correlation analysis only social support and work-family enrichment showed positive correlation. As a result of hierarchical multiple regression analysis, social support still acted as a significant influence factor on work-family conflict and work-family enrichment even in the state of considering the effect of control variables. Conclusion: In order to lower work-family conflict and to enhance work-family enrichment of married nurses, it is necessary to introduce and implement welfare policies for work-family reconciliation at the workplace level and at home level it is necessary to provide concrete measures so that married nurses can find the value of life as workers while house working and nurturing.
Purpose: The purposes were to survey the level of work stress, social support, burnout of insurance review nurses and to measure the main & buffering effect of perceived social support on burnout. Method: The samples were 285 insurance review nurses who were registered in Review Nurses Association of Korea at the period of 25 July and 12 August in 2005. Data were analyzed by using of t-test, Pearson's correlation, stepwise multiple regression, two-way ANOVA. Results: There were significant differences of burnout according to the work experience, position, and work satisfaction of insurance review nurses. Among the variables explaining the level of burnout of review nurses, the most significant variable was work stress, followed by current work satisfaction, social support, position and total variance explained was 40.8%. For the analysis of the buffering effects of perceived social support on work stress and burnout, the interaction between work stress and social support was not significant. Conclusions: It is necessary to construct the social support system and to reduce the work stress in order to reduce the level of the burnout of insurance review nurses.
Purpose: This study examined the interactions between the job strain and social support in the workplace on the development of workrelated neck pain in office workers. Methods: The participants included 62 office workers without neck pain over the last twelve months. A battery of measures evaluating the potential workplace risk factors in office settings were conducted at the baseline, and at the 12 month incidence of work-related neck pain was reported via monthly questionnaires. Survival analysis evaluated the interaction effect between job strain and social support on the development of work-related neck pain. Results: The incidence of work-related neck pain was 1.91 (95% CI: 1.06 - 3.45) per 100 person months. The interaction effect between job strain and social support found that job strain may increase the risk of developing new work-related neck pain when lower social support existed in the workplace. On the other hand, the adverse effects of job strain on the development of neck pain were not significant when workers had higher social support from their colleagues and supervisors. Conclusion: An investigation of the moderating effects of risk factors on neck pain might reveal the unexplained relationship between the risk factors for the development of neck pain in office workers. Therefore, the interest in prevention plans and treatments should involve a comprehensive understanding of the risk factors at workplace.
Purpose: This study aimed to identify the relationship between the experiences of workplace violence and post-traumatic stress disorder and the moderating effect of resilience and social support at work on the relationship in tertiary hospital nurses. Methods: This was a descriptive correlation study to confirm the moderating effect of resilience and social support at work on the factors affecting post-traumatic stress disorder for nurses who have experienced violence. A total of 146 registered nurses were recruited from a tertiary hospital from March to July 2020. The Participants who worked for more than one year and experienced violence at work completed self-reported questionnaires that measured the experiences of workplace violence and post-traumatic stress disorder, resilience, social support at work, and demographic information. The collected data were analyzed using t-test, ANOVA, Pearson's correlation coefficient, and hierarchical regression analysis. Results: The nurses experienced verbal abuse an average of 3.70±2.06 times a week, physical threat an average of 2.30±1.71 times a month, and physical assault an average of 0.76±0.82 times a year. The Experiences of workplace violence were significantly increased post-traumatic stress disorder. The result also showed that resilience moderated the relationship between the experience of verbal abuse and post-traumatic stress disorder in hospital nurses. However, there was no significant moderating effect of social support between workplace violence and post-traumatic stress disorder. Conclusion: The experiences of workplace violence influenced post-traumatic stress disorder in nurses and were moderated by resilience. Therefore, hospital administrators need to develop and provide a workplace violence prevention and resilience reinforcement program to reduce post-traumatic stress disorder in nurses. In addition, we suggest further research on the effect of social support in a workplace on the experiences of violence.
This study investigated a posttraumatic stress, social support, and work burden and identified related factors which exerted influence on posttraumatic stress of new firefighters. Data were gathered from total of 144 new firefighters. Also, 22 PTS items, 20 work burden items, and 8 social support items were analyzed by SPSSWIN 21.0 program. Posttraumatic stress according to general characteristics showed significant difference in gender(t=-2.57, p=0.01), experience of self danger(t=3.06, p=0.00), experience of rescuee danger(t=2.41, p=0.02), and experience of colleague danger(t=3.43, p=0.00). High risk group of PTS was 20.1%. Posttraumatic stress, social support, and work burden showed significant difference in the high and low risk group. Posttraumatic stress was correlated with work burden(r=0.34, p=0.00), social support(r=-0.29,p=0.00). Factors influencing PTS were Experience of colleague danger(${\beta}$=1.274, 95% CI=0.08-0.96), social support(${\beta}$=-0.090, 95% CI=0.85-0.98) and work burden(${\beta}$=0.057, 95% CI=1.02-1.10). We need to reduce the work burden caused by influencing variable of traumatic stress and create more preventive discipline of traumatic stress for the new firefighters to improve the social support at work or home. Also, posttraumatic stress has to be managed consistently with support by changing the social attitudes and we need to seek the new system that anybody can get a consultation of a specialist.
Purpose: The purpose of this study was to identify the effects of nursing work environment and social support on the reality shock of new graduate nurses in university hospitals. Methods: The subjects were 153 new graduate nurses with less than 12 months of clinical experience at two university hospitals in the G province, and data were collected from September 15 to October 7, 2020. Data were analyzed using the SPSS/WIN 26.0 program for frequency, average, t-test, ANOVA, Pearson correlation coefficient, multiple regression. Results: Factors influencing reality shock were nursing work environment (β=-.39, p<.001) and social support (β=-.25, p=.002), and gender (female) (β=.20, p=.001), and the explanatory power was 44.8% (F=9.99, p=.002). Conclusion: Our study shows that nursing work environment and social support play an important role in the reality shock of new graduate nurses. It is important to strengthen nursing work environment and social support to alleviate the reality shock of new graduate nurses. The findings of this study may serve as a basis for developing strategies for mitigating the reality shock of new graduate nurses.
Background: Research on the impact of psychosocial risks on well-being at work remains scarce in low- and middle-income countries, especially in the banking sector. This study sought to examine the relationships between job demands, job resources, well-being, job satisfaction, and work engagement in the Zimbabwean banking sector. Methods: An online survey was administered to 259 employees from five banks. Hierarchical multiple regression tested the relationships between job demands (quantitative demands, emotional demands, work pace, and work-family conflict), job resources (possibilities for development, social support from colleagues and supervisors, quality of leadership, and influence at work), well-being, work engagement, and job satisfaction. Interactions between all variables were tested. Results: Job demands were negatively related to well-being, work engagement, and job satisfaction. Job resources had positive relationships with the same. Work pace had positive relationships with well-being and work engagement. Influence at work moderated the relationship between emotional demands and work pace with well-being. Possibilities for development moderated the relationship between work-family conflict and well-being. Work-family conflict moderated the relationship between social support from colleagues and job satisfaction. Emotional demands, work pace, and quantitative demands moderated the relationship between influence at work with job satisfaction and work engagement. Conclusion: Job demands should be reduced where possible in order to enhance employee well-being, work engagement, and job satisfaction. The job resources that should be availed to facilitate a positive psychosocial work environment in the banking sector include social support from supervisors, influence at work, and possibilities for development.
Objectives : The purpose of this study was to assess the relationship between job strains and absenteeism from work. Methods : The study design was cross-sectional, and the study subjects consisted of 1,166 workers who were employed in the small-sized industries. A self administered questionnaire was used to measure the general characteristics, job characteristics(job demand, job control), and social support(coworker support, supervisor support) at work. The Job Content Questionnaire(JCQ) was used to assess job demand(2 items) and decision lattitude(10 items). Social support at work (10 items) was measured using JCQ. Sick absence was collected using self-report and were rechecked by the attendance record of their company. Odds ratios and 95% confidence intervals for the association between job strain and sick absence were estimated. The modifying effect of social support was evaluated by stratification. Logistic regression was used to estimate the relationship between job strain and sick absence. Results : In the bivariate analysis, the variables related to sick absence were age, marital status, occupation, job demand. Four distinctly different kinds of level of job strain were generated by the combination of job demand and job control: low strain group, high strain group, active group, and passive group. The crude odds ratio of high job strain was 1.78(95% CI: 1.26-2.53), and those of active group and passive group were 1.33(95% CI: 1.07-1.66) and 1.13 (95% CI: 0.88-1.47), respectively. The odds ratio of high job strain after adjusting for age and occupation were still significant The odds ratio of high job strain in low social support was 5.96(95% CI: 2.45-14.51), but that in high social support was 0.73(95% CI: 0.26-2.01). Conclusions : Job strain was associated with increased risk of absenteeism from work, and social support at work modified the association between job strain and sick absence.
Purpose: This study was to identify the effects of self-resilience and social support on reality shock among new graduate nurses. Methods: The data was collected using self-reported questionnaires from a convenience sample of 111 new graduate nurses. The data was analyzed by descriptive statistical, independent t-test, ANOVA, Scheffe test, Pearson correlation coefficient, and multiple regression via the SPSS Window 23.0 program. Results: Among general and work related characteristics, factors that have shown significant differences on reality shock were gender (t=-2.29, p=.024), work unit (t=3.31, p=.023) and whether they are working at unit they desired (t=-5.08, p<.001). Reality shock has shown a negative correlation with self-resilience (r=-.51, p<.001) and social support (r=-.41, p<.001). Factors that affected the reality shock on new graduate nurses were self-resilience (${\beta}=-.43$, p<.001), whether they are working at unit they desired (${\beta}=.35$, p<.001) and their currently work unit (${\beta}=-.17$, p=.028). These factors take into account of 38.0% of overall reality shock. Conclusion: The results suggest that self-resilience, desired unit and current work unit should be considered as factors when developing an intervention to alleviate the reality shock experienced by new graduate nurses.
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