The Effect of Self-Effectiveness of Disabled Sports Leaders on Stress Response and Burnout Syndrome

2019 ◽  
Vol 58 (4) ◽  
pp. 517-531
Author(s):  
Seong Jin Shin ◽  
Soon Hyung Kwon
2015 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku

Purpose: This study identified the effect of occupational dysfunction on psychological factors of stress response, burnout syndrome, and depression in healthcare workers. Method: Three cross sectional studies were conducted to assess the following relations: 1) occupational dysfunction on stress response (n = 468), 2) occupational dysfunction on burnout syndrome (n = 1142), and 3) occupational dysfunction on depression (n = 687). Personal characteristics were collected through a questionnaire (such as age, gender, and job category, opportunities for refreshment, time spent on leisure activities, and work relationships) as well as the Classification and Assessment of Occupational Dysfunction (CAOD). Furthermore, study 1 included the Stress Response Scale-18 (SRS-18), study 2 used the Japanese Burnout Scale (JBS), and study 3 employed the Center for Epidemiological Studies Depression Scale (CES-D). The Kolmogorov–Smirnov test, confirmatory factor analysis (CFA), exploratory factor analysis (EFA), and path analysis of structural equation modeling (SEM) analysis were used in all of the studies. EFA and CFA were used to measure structural validity of four assessments; CAOD, SRS-18, JBS, and CES-D. For examination of a potential covariate, we assessed the correlation of the total score of CAOD and personal factors in all studies. Moreover, direct and indirect effects of occupational dysfunction on stress response (Study 1), burnout syndrome (Study 2), and depression (Study 3) were also analyzed. Results: CAOD had 16 items and 5 factors. SRS-18 had 18 items and 3 factors, JBS had 17 items and 3 factors, CES-D had 20 items and 4 factors. All studies found that there were significant correlations between the CAOD total score and the personal factor that included opportunities for refreshment, time spent on leisure activities, and work relationships (p<0.01). The causal sequence model results suggest that the classification of occupational dysfunction had positive causal effects on the stress response (RMSEA = 0.058, CFI = 0.951, and TLI = 0.947), burnout syndrome (RMSEA = 0.074, CFI = 0.922, and TLI = 0.915), and depression (RMSEA=0.059, CFI=0.926, TLI=0.920). Moreover, the positive effect of external covariates include opportunities for refreshment, time spent on leisure activities, and work relationships on occupational dysfunction. Conclusion: The classification of occupational dysfunction indicated a possibility of increase in the stress response, burnout syndrome, and depression in healthcare workers. Furthermore, occupational dysfunction affected personal factors including opportunities for refreshment, time spent on leisure activities, and work relationships. Therefore, it is necessary to adopt occupational therapy strategies to prevent this problem.


PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1389 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku

Purpose.The purpose of this study is to demonstrate the hypothetical model based on structural relationship with the occupational dysfunction on psychological problems (stress response, burnout syndrome, and depression) in healthcare workers.Method.Three cross sectional studies were conducted to assess the following relations: (1) occupational dysfunction on stress response (n= 468), (2) occupational dysfunction on burnout syndrome (n= 1,142), and (3) occupational dysfunction on depression (n= 687). Personal characteristics were collected through a questionnaire (such as age, gender, and job category, opportunities for refreshment, time spent on leisure activities, and work relationships) as well as the Classification and Assessment of Occupational Dysfunction (CAOD). Furthermore, study 1 included the Stress Response Scale-18 (SRS-18), study 2 used the Japanese Burnout Scale (JBS), and study 3 employed the Center for Epidemiological Studies Depression Scale (CES-D). The Kolmogorov–Smirnov test, confirmatory factor analysis (CFA), exploratory factor analysis (EFA), and path analysis of structural equation modeling (SEM) analysis were used in all of the studies. EFA and CFA were used to measure structural validity of four assessments; CAOD, SRS-18, JBS, and CES-D. For examination of a potential covariate, we assessed the correlation of the total and factor score of CAOD and personal factors in all studies. Moreover, direct and indirect effects of occupational dysfunction on stress response (Study 1), burnout syndrome (Study 2), and depression (Study 3) were also analyzed.Results.In study 1, CAOD had 16 items and 4 factors. In Study 2 and 3, CAOD had 16 items and 5 factors. SRS-18 had 18 items and 3 factors, JBS had 17 items and 3 factors, and CES-D had 20 items and 4 factors. All studies found that there were significant correlations between the CAOD total score and the personal factor that included opportunities for refreshment, time spent on leisure activities, and work relationships (p< 0.01). The hypothesis model results suggest that the classification of occupational dysfunction had good fit on the stress response (RMSEA = 0.061, CFI = 0.947, and TLI = 0.943), burnout syndrome (RMSEA = 0.076, CFI = 0.919, and TLI = 0.913), and depression (RMSEA = 0.060, CFI = 0.922, TLI = 0.917). Moreover, the detected covariates include opportunities for refreshment, time spent on leisure activities, and work relationships on occupational dysfunction.Conclusion.Our findings indicate that psychological problems are associated with occupational dysfunction in healthcare workers. Reduction of occupational dysfunction might be a strategy of better preventive occupational therapies for healthcare workers with psychological problems. However, longitudinal studies will be needed to determine a causal relationship.


2015 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku

Purpose: This study identified the effect of occupational dysfunction on psychological factors of stress response, burnout syndrome, and depression in healthcare workers. Method: Three cross sectional studies were conducted to assess the following relations: 1) occupational dysfunction on stress response (n = 468), 2) occupational dysfunction on burnout syndrome (n = 1142), and 3) occupational dysfunction on depression (n = 687). Personal characteristics were collected through a questionnaire (such as age, gender, and job category, opportunities for refreshment, time spent on leisure activities, and work relationships) as well as the Classification and Assessment of Occupational Dysfunction (CAOD). Furthermore, study 1 included the Stress Response Scale-18 (SRS-18), study 2 used the Japanese Burnout Scale (JBS), and study 3 employed the Center for Epidemiological Studies Depression Scale (CES-D). The Kolmogorov–Smirnov test, confirmatory factor analysis (CFA), exploratory factor analysis (EFA), and path analysis of structural equation modeling (SEM) analysis were used in all of the studies. EFA and CFA were used to measure structural validity of four assessments; CAOD, SRS-18, JBS, and CES-D. For examination of a potential covariate, we assessed the correlation of the total score of CAOD and personal factors in all studies. Moreover, direct and indirect effects of occupational dysfunction on stress response (Study 1), burnout syndrome (Study 2), and depression (Study 3) were also analyzed. Results: CAOD had 16 items and 5 factors. SRS-18 had 18 items and 3 factors, JBS had 17 items and 3 factors, CES-D had 20 items and 4 factors. All studies found that there were significant correlations between the CAOD total score and the personal factor that included opportunities for refreshment, time spent on leisure activities, and work relationships (p<0.01). The causal sequence model results suggest that the classification of occupational dysfunction had positive causal effects on the stress response (RMSEA = 0.058, CFI = 0.951, and TLI = 0.947), burnout syndrome (RMSEA = 0.074, CFI = 0.922, and TLI = 0.915), and depression (RMSEA=0.059, CFI=0.926, TLI=0.920). Moreover, the positive effect of external covariates include opportunities for refreshment, time spent on leisure activities, and work relationships on occupational dysfunction. Conclusion: The classification of occupational dysfunction indicated a possibility of increase in the stress response, burnout syndrome, and depression in healthcare workers. Furthermore, occupational dysfunction affected personal factors including opportunities for refreshment, time spent on leisure activities, and work relationships. Therefore, it is necessary to adopt occupational therapy strategies to prevent this problem.


2019 ◽  
Vol 476 (21) ◽  
pp. 3141-3159 ◽  
Author(s):  
Meiru Si ◽  
Can Chen ◽  
Zengfan Wei ◽  
Zhijin Gong ◽  
GuiZhi Li ◽  
...  

Abstract MarR (multiple antibiotic resistance regulator) proteins are a family of transcriptional regulators that is prevalent in Corynebacterium glutamicum. Understanding the physiological and biochemical function of MarR homologs in C. glutamicum has focused on cysteine oxidation-based redox-sensing and substrate metabolism-involving regulators. In this study, we characterized the stress-related ligand-binding functions of the C. glutamicum MarR-type regulator CarR (C. glutamicum antibiotic-responding regulator). We demonstrate that CarR negatively regulates the expression of the carR (ncgl2886)–uspA (ncgl2887) operon and the adjacent, oppositely oriented gene ncgl2885, encoding the hypothetical deacylase DecE. We also show that CarR directly activates transcription of the ncgl2882–ncgl2884 operon, encoding the peptidoglycan synthesis operon (PSO) located upstream of carR in the opposite orientation. The addition of stress-associated ligands such as penicillin and streptomycin induced carR, uspA, decE, and PSO expression in vivo, as well as attenuated binding of CarR to operator DNA in vitro. Importantly, stress response-induced up-regulation of carR, uspA, and PSO gene expression correlated with cell resistance to β-lactam antibiotics and aromatic compounds. Six highly conserved residues in CarR were found to strongly influence its ligand binding and transcriptional regulatory properties. Collectively, the results indicate that the ligand binding of CarR induces its dissociation from the carR–uspA promoter to derepress carR and uspA transcription. Ligand-free CarR also activates PSO expression, which in turn contributes to C. glutamicum stress resistance. The outcomes indicate that the stress response mechanism of CarR in C. glutamicum occurs via ligand-induced conformational changes to the protein, not via cysteine oxidation-based thiol modifications.


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