Burnout et lombalgies chroniques liées au travail : l’importance des dimensions interpersonnelles comme facteurs de risque

Borgne, Margaux Le; Boudoukha, Abdel Halim; Petit, Audrey; Jeoffrion, Christine

doi:10.1016/j.amp.2017.09.015

Cited by 2 publications

(3 citation statements)

References 32 publications

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“…Compared with coal miners with zero burnout, the prevalence of MSDs was higher in those with mild, moderate, and severe burnout. Burnout had a lower prevalence of MSDs, which is inconsistent with previous results ( 29 , 30 ) but consistent with the results of Ge Hua’s study ( 31 ). This may be due to the fact that burned-out coal miners are less motivated to work, resulting in fewer activations of the musculoskeletal system and thus protecting them from developing MSDs.…”

Section: Discussioncontrasting

confidence: 72%

Construction and validation of a musculoskeletal disease risk prediction model for underground coal miners

Zhao

Dou

Yong

et al. 2023

Front. Public Health

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ObjectiveTo understand the prevalence among underground coal miners of musculoskeletal disorders (MSDs), analyze the risk factors affecting MSDs, and develop and validate a risk prediction model for the development of MSDs.Materials and methodsMSD questionnaires were used to investigate the prevalence of work-related musculoskeletal disorders among 860 underground coal miners in Xinjiang. The Chinese versions of the Effort-Reward Imbalance Questionnaire (ERI), the Burnout Scale (MBI), and the Self-Rating Depression Inventory (SDS) were used to investigate the occupational mental health status of underground coal miners. The R4.1.3 software cart installation package was applied to randomly divide the study subjects into a 1:1 training set and validation set, screen independent predictors using single- and multi-factor regression analysis, and draw personalized nomogram graph prediction models based on regression coefficients. Subject work characteristic (ROC) curves, calibration (Calibrate) curves, and decision curves (DCA) were used to analyze the predictive value of each variable on MSDs and the net benefit.Results(1) The prevalence of MSDs was 55.3%, 51.2%, and 41.9% since joining the workforce, in the past year, and in the past week, respectively; the highest prevalence was in the lower back (45.8% vs. 38.8% vs. 33.7%) and the lowest prevalence was in the hips and buttocks (13.3% vs. 11.4% vs. 9.1%) under different periods. (2) Underground coal miners: the mean total scores of occupational stress, burnout, and depression were 1.55 ± 0.64, 51.52 ± 11.53, and 13.83 ± 14.27, respectively. (3) Univariate regression revealed a higher prevalence of MSDs in those older than 45 years (49.5%), length of service > 15 years (56.4%), annual income <$60,000 (79.1%), and moderate burnout (43.2%). (4) Binary logistic regression showed that the prevalence of MSDs was higher for those with 5–20 years of service (OR = 0.295, 95% CI: 0.169–0.513), >20 years of service (OR = 0.845, 95% CI: 0.529–1.350), annual income ≥$60,000 (OR = 1.742, 95% CI: 1.100–2.759), and severe burnout (OR = 0.284, 95% CI: 0.109–0.739), and that these were independent predictors of the occurrence of MSDs among workers in underground coal mine operations (p < 0.05). (5) The areas under the ROC curve for the training and validation sets were 0.665 (95% CI: 0.615–0.716) and 0.630 (95% CI: 0.578–0.682), respectively, indicating that the model has good predictive ability; the calibration plots showed good agreement between the predicted and actual prevalence of the model; and the DCA curves suggested that the predictive value of this nomogram model for MSDs was good.ConclusionThe prevalence of MSDs among workers working underground in coal mines was high, and the constructed nomogram showed good discriminatory ability and optimal accuracy.

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Section: Discussioncontrasting

confidence: 72%

Construction and validation of a musculoskeletal disease risk prediction model for underground coal miners

Zhao

Dou

Yong

et al. 2023

Front. Public Health

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“…None covered concepts such as microaggression, "minority stress", or mentioned theories. Eight covered "autistic burnout" [246][247][248][249][250][251][252][253], five covered autistic people without using the phrase "autistic burnout" [254][255][256][257], and seventeen used the generic term "disability" or terms for specific disabilities such as "learning disability", "cerebral palsy", "cystic fibrosis", "dyslexia", "spinal cord injury", "lumbar disc herniation", "lower back pain", "workers with visual impairment" "deaf and hard of hearing people", and "athletes with a disability" [258][259][260][261][262][263][264][265][266][267][268][269][270][271][272][273][274][275].…”

Section: Burnout Of Disabled Peoplementioning

confidence: 99%

“…Another main theme was that the burnout of the disabled person was caused by the external factors the disabled person experienced, including a lack of support or inappropriate support outside work [266,267] and a lack of support within the workplace [268]. One reported on the negative impact of burnout on a disability [264], one argued in one sentence that reducing burnout is needed (without engaging with burnout in the full text of the paper) [265], and one saw burnout as a risk factor for generating a disability [274].…”

Section: Burnout Of Disabled Peoplementioning

confidence: 99%

Burnout through the Lenses of Equity/Equality, Diversity and Inclusion and Disabled People: A Scoping Review

Wolbring

Lillywhite

2023

Societies

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Burnout is a problem within the workplace including in higher education, the activity of activism, and in reaction to experiencing systemic discrimination in daily life. Disabled people face problems in all of these areas and therefore are in danger of experiencing “disability burnout”/”disablism burnout”. Equity/equality, diversity, and inclusion” (EDI) linked actions are employed to improve the workplace, especially for marginalized groups including disabled people. How burnout is discussed and what burnout data is generated in the academic literature in relation to EDI and disabled people influences burnout policies, education, and research related to EDI and to disabled people. Therefore, we performed a scoping review study of academic abstracts employing SCOPUS, the 70 databases of EBSCO-HOST and Web of Science with the aim to obtain a better understanding of the academic coverage of burnout concerning disabled people and EDI. We found only 14 relevant abstracts when searching for 12 EDI phrases and five EDI policy frameworks. Within the 764 abstracts covering burnout and different disability terms, a biased coverage around disabled people was evident with disabled people being mostly mentioned as the cause of burnout experienced by others. Only 30 abstracts covered the burnout of disabled people, with eight using the term “autistic burnout”. Disabled activists’ burnout was not covered. No abstract contained the phrase “disability burnout”, but seven relevant hits were obtained using full-text searches of Google Scholar. Our findings suggest that important data is missing to guide evidence-based decision making around burnout and EDI and burnout of disabled people.

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Burnout et lombalgies chroniques liées au travail : l’importance des dimensions interpersonnelles comme facteurs de risque

Cited by 2 publications

References 32 publications

Construction and validation of a musculoskeletal disease risk prediction model for underground coal miners

Construction and validation of a musculoskeletal disease risk prediction model for underground coal miners

Burnout through the Lenses of Equity/Equality, Diversity and Inclusion and Disabled People: A Scoping Review

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