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Browsing by Subject "job strain"

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  • Moisala, Lotta (2018)
    Aims The aim of this study was to examine the relationship between job strain and presenteeism among Finnish doctors, and investigate the role of team climate as a possible moderator in the association. Sickness presenteeism or presenteeism is defined as going to work sick even when the health condition would require taking a sick leave. In previous studies, high job demands have been associated with higher presenteeism, whereas support from colleagues has been associated with lower presenteeism. However, the relationship between job strain and presenteeism, where job strain is a combination of job demands and control, has not been examined before. Good team climate has been suggested to diminish the negative consequences of job demands but its moderation in the relationship of job strain and presenteeism has not been studied before. Methods The sample of the study (n = 2309) was based on a survey “Doctor’s health and work conditions 2015”. Quotient, linear and categorical job strain variables, as well as four job types, were formed of job demands and control. Team climate was measured by participative safety of Team Climate Inventory. Presenteeism was measured with the question ”Have you gone to work sick during the past 12 months?” and predicted with logistic regression in doctors who worked full-time and had answered to all the items used in the study. Results and conclusions 62% of the respondents had worked sick during the past year. High job demands and job strain were associated with higher presenteeism. In contrast, job control was associated with lower presenteeism. Good team climate weakened only the relationship between presenteeism and very high job strain, but not between presenteeism and other work conditions. However, the observed effect sizes were small.
  • Urnberg, Heidi (2021)
    Aims: Healthcare workers commonly suffer from workplace aggression, so it is important to understand factors that may increase its risk. Previous studies have shown that job demands increase the risk of inappropriate treatment at workplace. Furthermore, poorly functioning, and constantly changing information systems form a major work stressor for doctors. Therefore, the current study examines if physicians that re-port higher levels of stress related to information systems are also more likely to re-port experiencing workplace aggression. Methods: The sample for the study (n=3327) was collected in the cross-sectional Finnish Physicians’ Working Conditions and Health 2019 -study. Both physical and non-physical aggression were measured, and a combined variable for general aggression was also formed from them. For non-physical aggression, also the perpetrator of aggression was examined: patients or their relatives, and co-workers or superiors. For each type of aggression, logistic regression analysis was used with stress related to in-formation systems as the predictive variable. Results and conclusions: Higher levels of stress related to information systems were associated with higher likelihood of aggression in all types of aggression. The association was strongest with non-physical aggression. These results emphasize the importance of designing functional information systems to improve both the wellbeing of physicians and the quality of patient care in the future. However, the current findings warrant more research, especially regarding the possible mediating factors between stress related to information systems and workplace aggression.
  • Lintula, Sakari Johannes (2020)
    Recognizing factors that contribute to strain of employees is important. If we are able to do this we are also able to promote the mental health of the working population. Valid measurement is required if we want to achieve this. In this thesis the focus will be on the job demand-control questionnaire's construct validity and longitudinal measurement invariance. Some problems exist in the research and the aim of this thesis is to contribute in solving these problems. The sample is from the Children's Risk Factors for Coronary Heart disease study, and the sample includes observations from a wide spread of people from different occupations. Structural equation modeling is used to test the hypotheses of construct validity and longitudinal measurement invariance. The results point towards good construct validity and longitudinal measurement invariance. Some remarks that came up with the analysis are discussed. The results give clarity considering the hypotheses and confidence in deductions made with the questionnaire.