scholarly journals Analysis of structural relationship among the occupational dysfunction on the psychological problem in healthcare workers: a study using structural equation modeling

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1389 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku
Keyword(s):  
Factor Analysis ◽  
Stress Response ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Leisure Activities ◽  
Work Relationships ◽  
Psychological Problems ◽  
Burnout Syndrome ◽  
Equation Modeling ◽  
Occupational Dysfunction

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.

scholarly journals Influence of occupational dysfunction on the psychological problem in healthcare workers: A study using structural equation modeling

2015 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku
Keyword(s):  
Stress Response ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Leisure Activities ◽  
Work Relationships ◽  
Burnout Syndrome ◽  
Equation Modeling ◽  
Personal Factors ◽  
Occupational Dysfunction

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.

scholarly journals Influence of occupational dysfunction on the psychological problem in healthcare workers: A study using structural equation modeling

2015 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku
Keyword(s):  
Stress Response ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Leisure Activities ◽  
Work Relationships ◽  
Burnout Syndrome ◽  
Equation Modeling ◽  
Personal Factors ◽  
Occupational Dysfunction

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.

scholarly journals Causal relationship between occupational dysfunction and depression in healthcare workers: A study using structural equation model

2015 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Physical Therapists ◽  
Depression Scale ◽  
Occupational Therapists ◽  
Epidemiologic Studies ◽  
Equation Model ◽  
Causal Sequence ◽  
Occupational Dysfunction

Purpose: The purpose of this study is to identify the impacts of occupational dysfunction on depression in healthcare workers (nurses, physical therapists, and occupational therapists) in hospitals. Methods: Healthcare workers responded to a questionnaire based on the Classification and Assessment of Occupational Dysfunction (CAOD) and Center for Epidemiologic Studies Depression Scale (CES-D). CAOD and CES-D were examined using the following methods: descriptive statistics, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and a causal sequence model. Results: CFA of CAOD had 16 items and 5 factors (CFI=0.958, TLI=0.946, RMSEA＝0.092). CFA of CES-D had 20 items and 4 factors (CFI=0.950, TLI=0.942, RMSEA=0.060). The results suggest that occupational dysfunction had positive causal effects on depression (CFI=0.926, TLI=0.920, RMSEA=0.059). Conclusion: This model refers to the relationship between depression and occupational dysfunction. Therefore, assessment and intervention on classification of occupational dysfunction for healthcare workers would be beneficial in the prevention of depression.

The structural relationship among occupational dysfunction, stress coping, and occupational participation for healthcare workers in Japan

2017 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku
Keyword(s):  
Correlation Analysis ◽  
Path Analysis ◽  
Negative Correlation ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Structural Relationship ◽  
Equation Modeling ◽  
Stress Coping ◽  
Occupational Participation ◽  
Occupational Dysfunction

Purpose: The purpose of this study was to analyze the structural relationship among occupational dysfunction, stress coping, and occupational participation in healthcare workers.Method: This cross-sectional study included 601 subjects. Personal characteristics (such as age, gender, job category, opportunities for refreshment, time spent on leisure activities, and work relationships) were obtained. The Classification and Assessment of Occupational Dysfunction (CAOD), Coping Scale (CS), and Self-completed Occupational Performance Index (SOPI) were used for measurements. Descriptive statistics were analyzed, and item analysis, confirmatory factor analysis (CFA), correlation analysis, and path analysis using a structural equation modeling (SEM) were performed. CFA was performed to determine the factor structure for CAOD, CS, and SOPI. Correlation analysis was performed to determine the correlation among the factor scores of CAOD, CS, and SOPI. Path analysis was performed to examine the structural relationship among CS, SOPI, and CAOD. Results: CFA of CAOD, CS, and SOPI indicated a good fit to the predicted models. Correlation analysis of CAOD and SOPI showed a strong negative correlation and a moderate negative correlation. CAOD and emotion-focused coping showed a weak negative correlation. Path analysis suggested that SOPI (self-care, leisure, and productivity) and CS (emotion-focused coping) had a negative structural relationship with occupational dysfunction (RMSEA = 0.053, CFI = 0.958, and TLI = 0.954, χ2 = 1808.032, df = 677, p = 0.000). Conclusion: Occupational participation and stress coping can decrease occupational dysfunction. Occupational therapists can contribute to the reduction of occupational dysfunction in healthcare workers by instigating preventive occupational therapy.

scholarly journals The influence of belief conflict on stress and burnout syndrome in healthcare workers: using structural equation modeling in a cross-sectional study

2015 ◽  
Author(s):  
Makoto Kyougoku ◽  
Mutsumi Teraoka
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Physical Therapists ◽  
Cross Sectional Study ◽  
Burnout Syndrome ◽  
Equation Modeling ◽  
Response Scale ◽  
Cross Sectional ◽  
Causal Sequence

Purpose: Belief conflict has been hypothesized to contribute to increased stress and burnout syndrome among healthcare workers. However, tests on this hypothesis have been limited. The aim of this study was to evaluate the effect of belief conflict on stress and burnout syndrome in healthcare workers using structural equation modeling (SEM). Method: A sample of 488 participants (4.3% physicians, 32.4% nurses, 16.2% occupational therapists, 10.7% physical therapists, 36.4% other) responded to a questionnaire based on the Assessment of Belief Conflict in Relationship-14 (ABCR-14), Stress Response Scale-18 (SRS-18), and Japanese Burnout Scale (JBS). These data were examined using descriptive statistics and a causal sequence model. Results : The hypothesized model exhibited an excellent model fit (RMSEA = 0.041, CFI = 0.937, TLI = 0.933). The results suggested that belief conflict has positive causal effects on stress and burnout syndrome: standardized total effect = 0.676 (S.E. = 0.041, Est . /S.E. = 16.334, p-value = 0.000, 95% CI = 0.411; 0.646), standardized total indirect effect = 0.221 (S.E. = 0.031, Est . /S.E. = 7.066, p-value = 0.000, 95% CI = 0.115; 0.231), standardized direct effect = 0.455 (S.E. = 0.048, Est . /S.E. = 9.497, p-value = 0.000, 95% CI = 0.257; 0.455). Conclusion: This study indicated that healthcare workers suffer stress and burnout related to belief conflict. Therefore, assessment of belief conflict in healthcare workers, followed by appropriate intervention where indicated, would be beneficial in preventing stress and burnout.

scholarly journals The influence of belief conflict on stress and burnout syndrome in healthcare workers: using structural equation modeling in a cross-sectional study

2015 ◽  
Author(s):  
Makoto Kyougoku ◽  
Mutsumi Teraoka
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Physical Therapists ◽  
Cross Sectional Study ◽  
Burnout Syndrome ◽  
Equation Modeling ◽  
Response Scale ◽  
Cross Sectional ◽  
Causal Sequence

Purpose: Belief conflict has been hypothesized to contribute to increased stress and burnout syndrome among healthcare workers. However, tests on this hypothesis have been limited. The aim of this study was to evaluate the effect of belief conflict on stress and burnout syndrome in healthcare workers using structural equation modeling (SEM). Method: A sample of 488 participants (4.3% physicians, 32.4% nurses, 16.2% occupational therapists, 10.7% physical therapists, 36.4% other) responded to a questionnaire based on the Assessment of Belief Conflict in Relationship-14 (ABCR-14), Stress Response Scale-18 (SRS-18), and Japanese Burnout Scale (JBS). These data were examined using descriptive statistics and a causal sequence model. Results : The hypothesized model exhibited an excellent model fit (RMSEA = 0.041, CFI = 0.937, TLI = 0.933). The results suggested that belief conflict has positive causal effects on stress and burnout syndrome: standardized total effect = 0.676 (S.E. = 0.041, Est . /S.E. = 16.334, p-value = 0.000, 95% CI = 0.411; 0.646), standardized total indirect effect = 0.221 (S.E. = 0.031, Est . /S.E. = 7.066, p-value = 0.000, 95% CI = 0.115; 0.231), standardized direct effect = 0.455 (S.E. = 0.048, Est . /S.E. = 9.497, p-value = 0.000, 95% CI = 0.257; 0.455). Conclusion: This study indicated that healthcare workers suffer stress and burnout related to belief conflict. Therefore, assessment of belief conflict in healthcare workers, followed by appropriate intervention where indicated, would be beneficial in preventing stress and burnout.

scholarly journals An analysis of the structural relationship between job stress, coping, belief conflict, and occupational dysfunction in healthcare workers involved in dialysis treatment

2017 ◽  
Author(s):  
Taichi Oogishi ◽  
Makoto Kyougoku ◽  
Mutsumi Teraoka
Keyword(s):  
Job Stress ◽  
Direct Effect ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Information Criteria ◽  
Structural Relationship ◽  
Equation Modeling ◽  
Stress Coping ◽  
Dialysis Treatment ◽  
Occupational Dysfunction

Background. Job stress can be high in healthcare workers involved in dialysis treatment. This study intended to verify the structural relationship among job stress, coping, belief conflict, and occupational dysfunction in healthcare workers involved in dialysis treatment.Methods. Participants completed a composite questionnaire combining the Brief Job Stress Questionnaires, Coping Scale, Assessment of Belief Conflict in Relationship–14, and Classification and Assessment of Occupational Dysfunction. Hypothetical models were compared using Bayesian structural equation modeling (BSEM). Results. The 185 participants included 22 physicians, 46 nurses, 38 medical engineers, 50 physical therapists, and 25 occupational therapists. As a result of the BSEM, the following type A of hypothetical model 1 was selected as the most suitable through comparison of the deviance and Bayesian information criteria (DIC = 5033.848, BIC = 5312.447). Belief conflict had a significant direct effect on occupational dysfunction (direct effect = 0.441, p = 0.000), and occupational dysfunction had a direct effect on stress response (direct effect = 0.406, p = 0.000). Discussion. This result suggests that belief conflict has the potential to increase job stress via occupational dysfunction in healthcare workers involved in dialysis treatment. To reduce job stress, belief conflict should be evaluated and appropriate interventions performed.

scholarly journals Causal relationship between occupational dysfunction and depression in healthcare workers: A study using structural equation model

2015 ◽  
Author(s):  
Mutsumi Teraoka ◽  
Makoto Kyougoku
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Healthcare Workers ◽  
Physical Therapists ◽  
Depression Scale ◽  
Occupational Therapists ◽  
Epidemiologic Studies ◽  
Equation Model ◽  
Causal Sequence ◽  
Occupational Dysfunction

Purpose: The purpose of this study is to identify the impacts of occupational dysfunction on depression in healthcare workers (nurses, physical therapists, and occupational therapists) in hospitals. Methods: Healthcare workers responded to a questionnaire based on the Classification and Assessment of Occupational Dysfunction (CAOD) and Center for Epidemiologic Studies Depression Scale (CES-D). CAOD and CES-D were examined using the following methods: descriptive statistics, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and a causal sequence model. Results: CFA of CAOD had 16 items and 5 factors (CFI=0.958, TLI=0.946, RMSEA＝0.092). CFA of CES-D had 20 items and 4 factors (CFI=0.950, TLI=0.942, RMSEA=0.060). The results suggest that occupational dysfunction had positive causal effects on depression (CFI=0.926, TLI=0.920, RMSEA=0.059). Conclusion: This model refers to the relationship between depression and occupational dysfunction. Therefore, assessment and intervention on classification of occupational dysfunction for healthcare workers would be beneficial in the prevention of depression.

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