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Showing 3 results for Mental Fatigue
Haniyeh Al-Sadat Mahdavi, Dr. Simin Hosseinian, Dr. Abbas Abdollahi,
year 12, Issue 8 (11-2023)
Abstract
The purpose of the present study was to determine the mediating role of mental health in the relationship between mental fatigue and self-deception with the tendency to divorce. The method of descriptive-correlation research was Structural equation modeling. The statistical population included all the married students of Kerman City in the academic year 2019-2020, of which 300 people were selected by available and voluntary sampling. The research tools include the Tendency to Divorce Scale (TDS) by Roselet et al. (1986), the Marital Boredom Scale (CBM) by Paynes (1996), the Mental Health Scale (MHI-28) by Besharat (2008), and the Self-Deception Scale (SDQ-12) by Siront and colleagues (2019). Pearson's correlation test and Structural equation modeling were used to analyze the data. The results showed that the model has a good fit and there is a significant relationship between self-deception, mental fatigue, and mental health with the tendency to divorce (P<0/05) and it was also found that mental fatigue and self-deception mediate the indirect effect of mental health. It has a negative and significant effect (P<0/01) on the tendency to divorce married students. Based on these findings, it can be concluded that self-deception and mental fatigue, directly and indirectly, affect the tendency to divorce in married students and play an essential role in the tendency to divorce.
Fereshteh Tourani, Shahram Nematzadeh Getabi,
year 13, Issue 9 (1-2025)
Abstract
The present study was conducted to determine the effectiveness of emotion regulation therapy on job burnout and mental fatigue of nurses. The present research method was semi-experimental with a pre-test-post-test design with a control group and a two-month follow-up period. The statistical population of the research consisted of all the nurses of Shahid Lavasani Hospital in Tehran in the spring of 2023, of which 30 people (15 in the control group and 15 in the experimental group) were selected through purposive sampling and randomly placed in two groups. To collect data, Maslach & Jackson's Maslach Burnout Inventory (MBI, 1981) and Johansson et al's Mental Fatigue Scale (MFS, 2010) were used. Analysis of variance with repeated measurements was used to analyze the data. The findings of the research showed that there was a significant difference of 0.01 between the post-test average of job burnout and fatigue in the two experimental and control groups. In addition, the results showed that this intervention was able to significantly maintain its effect over time (P<0.0001). As a result, emotion regulation training using techniques such as thoughts, emotions, and conscious behavior can be used as an effective approach to reduce job burnout and fatigue in nurses.
Niloufar Sa'adat Agah, Hossein Ebrahimi Moghadam, Masoumeh Karbasi,
year 13, Issue 10 (12-2024)
Abstract
The present study was conducted to predict job burnout based on mental fatigue and effort-reward imbalance among nurses in the post-corona era. The present research method was descriptive-correlational. The statistical population included all the nurses working in the hospitals of Tehran University of Medical Sciences who have taken care of patients with COVID-19 in recent years, in 2023, out of which 200 people were selected as a sample using the available and non-random sampling method. The data were collected using Maslach & Jackson's Maslach Burnout Inventory (MBI, 1981), Johansson et al's Mental Fatigue Scale (MFS, 2010) Siegrist et al's Effort-Reward Imbalance Questionnaire (ERIQ, 2009). Multiple regression analysis was used to analyze the data. The findings of the research showed that mental fatigue and effort-reward imbalance were able to predict job burnout (p<0.05) and explained 54.1% of the variance of job burnout. Therefore, it can be concluded that mental fatigue and effort-reward imbalance play a significant role in predicting job burnout and it seems necessary to pay attention to these factors to reduce job burnout in nurses in the post-corona era.
