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1.
Int J Occup Saf Ergon ; 30(2): 579-586, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38509714

ABSTRACT

Objectives. This study aimed to map the evidence on burnout syndrome in higher education teachers and its relationship with ergonomic and biopsychosocial factors. Methods. We performed a scoping review of articles published up to 2021, extracting the location, study design, sample characteristics and assessment methods, and investigated ergonomic and biopsychosocial factors. Results. Eighteen studies were found in 12 countries, and most used a cross-sectional design (n = 17/18, 94%). The Maslach burnout inventory was the most used assessment method (n = 9, 50%). There is a consensus that burnout syndrome in higher education teachers requires more attention, as it can be related to physical, mental and social factors. Conclusions. In the professional environment, physical ergonomic characteristics or those related to work organization deserve greater attention, as well as psychosocial factors, as they are strongly associated with burnout syndrome.


Subject(s)
Burnout, Professional , Ergonomics , Humans , Burnout, Professional/epidemiology , Burnout, Professional/psychology , Educational Personnel/psychology , School Teachers/psychology
2.
J Occup Environ Med ; 65(10): 846-852, 2023 10 01.
Article in English | MEDLINE | ID: mdl-37400113

ABSTRACT

OBJECTIVE: The aim of the study is to investigate the association of sociodemographic factors, lifestyle, work organization, and professional profile with work ability in professional drivers. METHODS: This is a cross-sectional study with 449 drivers in Curitiba, Paraná (Brazil). Participants were assessed regarding their work ability (Work Ability Index [WAI]), sociodemographic, lifestyle (physical activity [Baecke's questionnaire] and stress [Work Stress Scale]), work organization, and professional profile using self-completion instruments. The association of WAI with sociodemographic factors, lifestyle, work organization, and professional profile was determined by multivariable ordinal logistic regression models. RESULTS: Lifestyle factors best explained the WAI variability. The WAI was inversely associated with stress and occupational physical activities but directly associated with leisure activities and locomotion and leisure-time physical exercise. CONCLUSIONS: Our data also challenge the concept that sociodemographic information and ergonomics organization influence determining the work ability of this population.


Subject(s)
Occupational Stress , Work Capacity Evaluation , Humans , Cross-Sectional Studies , Occupations , Exercise , Occupational Stress/epidemiology , Surveys and Questionnaires
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