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.

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.

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 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 Testing a Theory-Based Model of Suicidality in a Community Sample

2016 ◽  
Vol 74 (2) ◽  
pp. 119-137 ◽  
Author(s):  
Rui C. Campos ◽  
Ronald R. Holden
Keyword(s):  
Structural Equation ◽  
Community Sample ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Equation Model ◽  
Thwarted Belongingness ◽  
Perceived Burdensomeness ◽  
Interpersonal Needs ◽  
Interpersonal Needs Questionnaire ◽  
Suicide Behaviors

The aim of the present study is to test a theory-based model of suicide in a low-risk nonclinical sample. A community sample of convenience of 200 adults, 102 men and 98 women, responded to the Depressive Experiences Questionnaire, the Center for the Epidemiologic Studies of Depression Scale, the Psychache Scale, the Interpersonal Needs Questionnaire, and the Suicide Behaviors Questionnaire Revised. The hypothesized structural equation model, including trait dimensions of self-criticism and neediness, and state dimensions of depression, psychache, perceived burdensomeness, and thwarted belongingness, fit the observed data well and significantly explained 49% of the variance of suicidality.

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 Validation of the Japanese Version of the Center for Epidemiologic Studies Depression Scale—Revised: A Preliminary Analysis

2021 ◽  
Vol 11 (8) ◽  
pp. 107
Author(s):  
Hirohito Tsuboi ◽  
Yui Takakura ◽  
Hiromasa Tsujiguchi ◽  
Sakae Miyagi ◽  
Keita Suzuki ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Depressive Symptoms ◽  
Native Speakers ◽  
Depression Scale ◽  
Japanese Version ◽  
Population Based ◽  
Epidemiologic Studies ◽  
Community Dwelling ◽  
Two Factors ◽  
Study Population

To make the Japanese version of the CESD-R—a revised version of the Center for Epidemiologic Studies depression scale (CES-D)—in the assessment of depressive symptoms in a general population. The English version of CESD-R was translated into Japanese, and back-translated into English by three native speakers of Japanese and English; then, we selected the version most completely consistent with the original items. The CESD-R was applied to 398 community-dwelling people (191 men: 48.0%, and 207 women: 52.0%) who were over 40 years old. The Japanese version of the CES-D was also carried out in the same population. Factor analysis was performed. Additionally, the correlations between the CESD-R and CES-D results were identified. The CESD-R scores showed a significantly positive correlation with CES-D scores (r = 0.74, p < 0.0005). Analysis of the CESD-R yielded a Cronbach’s alpha result of 0.90. Factor analysis revealed one principal factor in the CESD-R, whereas the original CES-D had two factors because of reversed items. The Japanese version of the CESD-R appears to have the reliability to be applicable for assessing depressive symptoms in population-based samples. However, because the Japanese expressions for some items might be unusual, our study population was also limited; further studies on other populations and on incorporating improved Japanese terminology will be needed.

scholarly journals Human Capital and Eco-Contractual Governance in Small Farms in Poland: Simultaneous Confirmatory Factor Analysis with Ordinal Variables

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 46
Author(s):  
Bazyli Czyżewski ◽  
Agnieszka Sapa ◽  
Piotr Kułyk
Keyword(s):  
Human Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Agricultural Policy ◽  
Structural Equation ◽  
Equation Model ◽  
Small Farms ◽  
Ordinal Variables ◽  
Confirmatory Factor ◽  
Contractual Governance

Human capital (HC) plays an important role in modern agriculture. The difference in efficiency of assets explains only about a half of the economic performance of agricultural farms, while the other half relies on HC. Although education and training are the main components of HC, it may also be viewed from the perspective of behavioral theories that were taken under consideration in this study. The role of HC in sustainable farming has not been sufficiently explained when it comes to contractual governance (CG). In this study, the meaning of contractual governance was extended and the eco-contractual governance (ECG) concept was proposed, which stands for CG induced by agri-environmental contracts. The main objective of the article is to confirm the latent concepts of HC and ECG and to verify their correlation in view of the standards imposed by the agricultural policy. To achieve this goal, a structural equation model was developed and simultaneous confirmatory factor analysis with ordinal variables was carried out based on the sample of 674 small farms in Poland. The analysis has confirmed a relatively strong correlation between HC and ECG. It was revealed that training plays a crucial role in this relationship, while economic dependence on agricultural policy weakens the effectiveness of both HC and ECG.

scholarly journals A systematic review of the latent structure of the Center for Epidemiologic Studies Depression Scale (CES-D) amongst adolescents

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Joanna M. Blodgett ◽  
Chantelle C. Lachance ◽  
Brendon Stubbs ◽  
Melissa Co ◽  
Yu-Tzu Wu ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Cultural Differences ◽  
Factor Structure ◽  
English Language ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Latent Structure ◽  
Future Research ◽  
Primary Analysis ◽  
The Usa

Abstract Background The Centre for Epidemiologic Studies Depression Scale (CES-D) is a commonly used psychometric scale of depression. A four-factor structure (depressed affect, positive affect, somatic symptoms, and interpersonal difficulties) was initially identified in an American sample aged 18 to 65. Despite emerging evidence, a latent structure has not been established in adolescents. This review aimed to investigate the factor structure of the CES-D in adolescents. Methods We searched Web of Science, PsychINFO and Scopus and included peer-reviewed, original studies assessing the factor structure of the 20-item CES-D in adolescents aged ≤18. Two independent researchers screened results and extracted data. Results Thirteen studies met the inclusion criteria and were primarily from school-based samples in the USA or Asia. Studies that conducted confirmatory factor analysis (CFA; n = 9) reported a four-factor structure consistent with the original factor structure; these studies were primarily USA-based. Conversely, studies that conducted exploratory factor analysis (EFA) reported distinct two or three factor structures (n = 4) and were primarily based in Asia. Limitations Studies in a non-English language and those that included individuals aged > 18 years were excluded. Ethnic or cultural differences as well as different analytical methods impacted generalisability of results. The use of CFA as the primary analysis may have biased towards a four-factor structure. Conclusions A four-factor CES-D structure was an appropriate fit for adolescents in Western countries; further research is required to determine the fit in in Asian countries. This has important implications for clinical use of the scale. Future research should consider how cultural differences shape the experience of depression in adolescents.

Measuring Complexity: A Confirmatory Factor Analysis Approach

2017 ◽  
Vol 33 (4) ◽  
pp. 380-391
Author(s):  
John C. Reed ◽  
George E. Higgins
Keyword(s):  
Factor Analysis ◽  
Organizational Change ◽  
Law Enforcement ◽  
Structural Equation ◽  
Police Department ◽  
Equation Model ◽  
Law Enforcement Agencies ◽  
Reporting Practices ◽  
Policies And Procedures ◽  
Confirmatory Factor

This study examines complexity as a measure of support for organizational redirection. This study considers whether 16 items (culture, mission, values, decentralization, policies and procedures, administrative reporting practices, weapons, contract, pay, benefits, patrol boundaries, equalization of workload, size of boundaries, communications, 10-codes, and car numbers) appropriately characterized a suppressed measure of complexity related to complex organizational change, a police department merger. The current study utilizes data collected from 390 sworn officers from two merged law enforcement agencies in Kentucky. The results of the structural equation model analysis supported the view that four factors (mission, logistics, benefits, and policy) fashion an underlying construct for measuring complexity related to organizational change/redirection. The implications of these findings are also considered.

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