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Frédéric Dutheil - One of the best experts on this subject based on the ideXlab platform.
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the forgotten health care occupations at risk of burnout a burnout Job Demand control support and effort reward imbalance survey
Journal of Occupational and Environmental Medicine, 2021Co-Authors: Claire Serole, Morteza Charkhabi, Candy Auclair, Denis Prunet, Francoisxavier Lesage, Julien S Baker, Martial Mermillod, Laurent Gerbaud, Frédéric DutheilAbstract:Aims We conducted a cross-sectional study on healthcare workers from the University Hospital in Clermont-Ferrand. They received a self-report questionnaire consisting of the Maslach Burnout Inventory, Job Demand Control Support, Effort-Reward Imbalance model, and questions about ethical conflict in order to investigate on burnout. Results We included 1774 workers. Overinvestment was the only factor explaining the increase in emotional exhaustion, depersonalization, and the decrease in personal accomplishment. Taking into account the absence of burnout as a reference, overinvestment multiplied the risk of high burnout by 22.0 (5.10 to 94.7). Conclusion Some "forgotten" occupations among healthcare workers are at risk of burnout. Overinvestment was the main factor explaining the increase in the tree dimensions of burnout. Moreover, the two main models of stress at work were highly predictive of burnout.
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Burnout Among Hospital Non-Healthcare Staff: Influence of Job-Demand-Control Support, and Effort-Reward Imbalance
Journal of Occupational and Environmental Medicine, 2020Co-Authors: Maelys Clinchamps, Daniela Pfabigan, Julien S Baker, Candy Auclair, Denis Prunet, Francoisxavier Lesage, Lenise Parreira, Martial Mermillod, Laurent Gerbaud, Frédéric DutheilAbstract:Objectives: To study the prevalence of burnout among non-health care workers (NHCW), the risk and protective factors and to quantify the risk of burnout. Method: We conducted a cross-sectional study on the 3142 NHCW of the University Hospital of Clermont-Ferrand. They received a self-assessment questionnaire. Results: Four hundred thirty seven (13.9%) NHCW completed the questionnaires. More than three quarter (75.4%) of NHCW was in burnout, with one in five (18.7%) having a severe burnout. Job Demand was the main factor explaining the increase in exhaustion and overinvestment was the main factor explaining the increase in cynicism. Effort-reward imbalance (ERI) multiplied the risk of severe burnout by 11.2, Job strain by 3.32 and isostrain by 3.74. Conclusion: NHCW from hospital staff are at high risk of burnout. The two major models of stress at work, the Job Demand-control-support and the ERI, were highly predictive of burnout, with strong dose-response relationships.
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burnout among hospital non healthcare staff influence of Job Demand control support and effort reward imbalance
Journal of Occupational and Environmental Medicine, 2020Co-Authors: Maelys Clinchamps, Daniela Pfabigan, Candy Auclair, Denis Prunet, Francoisxavier Lesage, Julien S Baker, Lenise Parreira, Martial Mermillod, Laurent Gerbaud, Frédéric DutheilAbstract:OBJECTIVES To study the prevalence of burnout among non-health care workers (NHCW), the risk and protective factors and to quantify the risk of burnout. METHOD We conducted a cross-sectional study on the 3142 NHCW of the University Hospital of Clermont-Ferrand. They received a self-assessment questionnaire. RESULTS 437 (13.9%) NHCW completed the questionnaires. More than three quarter (75.4%) of NHCW was in burnout, with one in five (18.7%) having a severe burnout. Job Demand was the main factor explaining the increase in exhaustion and overinvestment was the main factor explaining the increase in cynicism. Effort-Reward imbalance (ERI) multiplied the risk of severe burnout by 11.2, Job strain by 3.32 and isostrain by 3.74. CONCLUSION NHCW from hospital staff are at high risk of burnout. The two major models of stress at work, the Job Demand-Control (JDCS) and the ERI, were highly predictive of burnout, with strong dose-response relationships.
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Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model
International Journal of Environmental Research and Public Health, 2020Co-Authors: Frédéric Dutheil, Morteza Charkhabi, Hortense Ravoux, Georges Brousse, Samuel Dewavrin, Thomas Cornet, Laurie Mondillon, Sihui Han, Daniela Pfabigan, Julien S BakerAbstract:Purpose of the study: Work addiction risk is a growing public health concern with potential deleterious health-related outcomes. Perception of work (Job Demands and Job control) may play a major role in provoking the risk of work addiction in employees. We aimed to explore the link between work addiction risk and health-related outcomes using the framework of Job-Demand-control model. Methods: Data were collected from 187 out of 1580 (11.8%) French workers who agreed to participate in a cross-sectional study using the WittyFit software online platform. The self-administered questionnaires were the Job Content Questionnaire by Karasek, the Work Addiction Risk Test, the Hospital Anxiety and Depression scale and socio-demographics. Data Analysis: Statistical analyses were performed using the Stata software (version 13). Results: There were five times more workers with a high risk of work addiction among those with strong Job Demands than in those with low Job Demands (29.8% vs. 6.8%, p = 0.002). Addiction to work was not linked to Job control (p = 0.77), nor with social support (p = 0.22). We demonstrated a high risk of work addiction in 2.6% of low-strain workers, in 15.0% of passive workers, in 28.9% of active workers, and in 33.3% of high-strain workers (p = 0.010). There were twice as many workers with a HAD-Depression score ≥11 compared with workers at low risk (41.5% vs. 17.7%, p = 0.009). Sleep quality was lower in workers with a high risk of work addiction compared with workers with a low risk of work addiction (44.0 ± 27.3 vs. 64.4 ± 26.8, p < 0.001). Workers with a high risk of work addiction exhibited greater stress at work (68.4 ± 23.2 vs. 47.5 ± 25.1) and lower well-being (69.7 ± 18.3 vs. 49.3 ± 23.0) compared with workers at low risk (p < 0.001). Conclusions: High Job Demands are strongly associated with the risk of work addiction. Work addiction risk is associated with greater depression and poor quality of sleep. Preventive strategies should benefit from identifying more vulnerable workers to work addiction risk.
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stress among nurses working in emergency anesthesiology and intensive care units depends on qualification a Job Demand control survey
International Archives of Occupational and Environmental Health, 2016Co-Authors: Marion Trousselard, Frédéric Dutheil, Geraldine Naughton, Sylvie Cosserant, Sylvie Amadon, Christian Duale, Pierre SchoefflerAbstract:The nurse stress literature reports an overwhelming culture of acceptance and expectation of work stressors, ironically linked to the control of the workplace to effectively and proactively manage stress. The stressors involved in delivering “stress management” have been well studied in nursing-related workplaces, especially in acute care settings in accordance with the Karasek Job Demand-Control-Support (JDCS) model. However, little is known about the effects of specificity of an acute care unit and the level of qualifications on stress experienced by nurses. A survey using the JDCS model was conducted among 385 nurses working in three different acute care units (anesthesiology, emergency and intensive care unit) from a university hospital. Specific questions explored variables such as gender, acute care units, level of qualification and working experience. Two hundred questionnaires were returned. A high level of Job strain was highlighted without a gender effect and in the absence of isostrain. Nurses from acute care units were located in the high stress quadrant of the JDCS model. Conversely, other nurses were commonly located in the “active” quadrant. Independent of acute care settings, the highest level of education was associated with the highest Job strain and the lowest level of control. In an acute care setting, a high level of education was a key factor for high Job stress and was associated with a perception of a low control in the workplace, both of which may be predictors of adverse mental health. In particular, the lack of control has been associated with moral distress, a frequently reported characteristic of acute care settings. To enhance the personal and professional outcomes of the advanced registered nurses, strategies for supporting nurses manage daily stressors in acute care are urgently required.
Kjell Toren - One of the best experts on this subject based on the ideXlab platform.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:Background This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population. The sampled consists of randomly-selected men and women from Gothenburg, Sweden and the city’s surrounding metropolitan areas. Associations between psychosocial variables and biomarkers were analysed with multiple linear regression adjusted for age, smoking, education and occupational status. The study included 638 men and 668 women aged 24–71. Analysis between JDC and CHD risk factors illustrated that, for men, JDC was associated with impaired scores in several biomarkers, especially among those in high strain Jobs. For women, there were no relationships between JDC and biomarkers. In the analysis of links between ERI and CHD risk factors, most associations tested null. The only findings were raised triglycerides and BMI among men in the fourth quartile of the ERI-ratio distribution, and lowered LDL-cholesterol for women. An complementary ERI analysis, combining high/low effort and reward into categories, illustrated lowered triglycerides and elevated HDL-cholesterol values among women reporting high efforts and high rewards, compared to women experiencing low effort and high reward. There were some associations between psychosocial stressors and CHD risk factors. The cross-sectional design did not allow conclusions about causality but some results indicated gender differences regarding sensitivity to work stressors and also how the models might capture different psychosocial dimensions.
Mia Soderberg - One of the best experts on this subject based on the ideXlab platform.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:Background This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population. The sampled consists of randomly-selected men and women from Gothenburg, Sweden and the city’s surrounding metropolitan areas. Associations between psychosocial variables and biomarkers were analysed with multiple linear regression adjusted for age, smoking, education and occupational status. The study included 638 men and 668 women aged 24–71. Analysis between JDC and CHD risk factors illustrated that, for men, JDC was associated with impaired scores in several biomarkers, especially among those in high strain Jobs. For women, there were no relationships between JDC and biomarkers. In the analysis of links between ERI and CHD risk factors, most associations tested null. The only findings were raised triglycerides and BMI among men in the fourth quartile of the ERI-ratio distribution, and lowered LDL-cholesterol for women. An complementary ERI analysis, combining high/low effort and reward into categories, illustrated lowered triglycerides and elevated HDL-cholesterol values among women reporting high efforts and high rewards, compared to women experiencing low effort and high reward. There were some associations between psychosocial stressors and CHD risk factors. The cross-sectional design did not allow conclusions about causality but some results indicated gender differences regarding sensitivity to work stressors and also how the models might capture different psychosocial dimensions.
Lauren Lissner - One of the best experts on this subject based on the ideXlab platform.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:Background This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population. The sampled consists of randomly-selected men and women from Gothenburg, Sweden and the city’s surrounding metropolitan areas. Associations between psychosocial variables and biomarkers were analysed with multiple linear regression adjusted for age, smoking, education and occupational status. The study included 638 men and 668 women aged 24–71. Analysis between JDC and CHD risk factors illustrated that, for men, JDC was associated with impaired scores in several biomarkers, especially among those in high strain Jobs. For women, there were no relationships between JDC and biomarkers. In the analysis of links between ERI and CHD risk factors, most associations tested null. The only findings were raised triglycerides and BMI among men in the fourth quartile of the ERI-ratio distribution, and lowered LDL-cholesterol for women. An complementary ERI analysis, combining high/low effort and reward into categories, illustrated lowered triglycerides and elevated HDL-cholesterol values among women reporting high efforts and high rewards, compared to women experiencing low effort and high reward. There were some associations between psychosocial stressors and CHD risk factors. The cross-sectional design did not allow conclusions about causality but some results indicated gender differences regarding sensitivity to work stressors and also how the models might capture different psychosocial dimensions.
Jenny Hillstrom - One of the best experts on this subject based on the ideXlab platform.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:Background This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population.
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a cross sectional study of the relationship between Job Demand control effort reward imbalance and cardiovascular heart disease risk factors
BMC Public Health, 2012Co-Authors: Mia Soderberg, Annika Rosengren, Jenny Hillstrom, Lauren Lissner, Kjell TorenAbstract:This cross-sectional study explored relationships between psychosocial work environment, captured by Job Demand-control (JDC) and effort-reward imbalance (ERI), and seven cardiovascular heart disease (CHD) risk factors in a general population. The sampled consists of randomly-selected men and women from Gothenburg, Sweden and the city’s surrounding metropolitan areas. Associations between psychosocial variables and biomarkers were analysed with multiple linear regression adjusted for age, smoking, education and occupational status. The study included 638 men and 668 women aged 24–71. Analysis between JDC and CHD risk factors illustrated that, for men, JDC was associated with impaired scores in several biomarkers, especially among those in high strain Jobs. For women, there were no relationships between JDC and biomarkers. In the analysis of links between ERI and CHD risk factors, most associations tested null. The only findings were raised triglycerides and BMI among men in the fourth quartile of the ERI-ratio distribution, and lowered LDL-cholesterol for women. An complementary ERI analysis, combining high/low effort and reward into categories, illustrated lowered triglycerides and elevated HDL-cholesterol values among women reporting high efforts and high rewards, compared to women experiencing low effort and high reward. There were some associations between psychosocial stressors and CHD risk factors. The cross-sectional design did not allow conclusions about causality but some results indicated gender differences regarding sensitivity to work stressors and also how the models might capture different psychosocial dimensions.
