RESUMO
AIM: To investigate the level of self-reported work ability and its association with manual patient handling in healthcare workers. DESIGN: Cross-sectional study adhering to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. METHODS: A total of 320 healthcare workers answered a self-administered questionnaire regarding manual patient handling, work ability, occupational factors, occurrence of low back pain and sociodemographic and lifestyle factors from November 2016 to March 2017. The association between manual patient handling and low back pain was analysed with Poisson regression models. RESULTS: The prevalence ratio of inadequate work ability was 43.42%. Manual patient handling (PR 1.375, 95% CI 1.038-1.821), bachelor education (PR 2.150, 95% CI 1.272-3.632), less than bachelor education (PR 2.166, 95% CI 1.218-3.855), seniority (PR 1.049, 95% CI 1.024-1.086), poor sleep quality (PR 1.425, 95% CI 1.13-1.796) and presence of low back pain (PR 2.003, 95% CI 1.314-3.052) were all positively associated with an inadequate work ability.
Assuntos
Dor Lombar , Movimentação e Reposicionamento de Pacientes , Doenças Profissionais , Brasil/epidemiologia , Estudos Transversais , Hospitais , Humanos , Remoção/efeitos adversos , Dor Lombar/epidemiologia , Doenças Profissionais/epidemiologia , Avaliação da Capacidade de TrabalhoRESUMO
Introduction: Health affects work absenteeism and productivity of workers, making it a relevant marker of an individual's professional development. Objectives: The aims of this article were to investigate whether changes in the main cause of the sick leaves and the presence of mental health illnesses are associated with return to work with readaptation. Materials and methods: A historical cohort study was carried out with non-work-related illnesses suffered by statutory workers of university campuses in a medium-sized city in the state of São Paulo, Brazil. Two exposures were measured: (a) changes, throughout medical examinations, in the International Classification of Diseases (ICD-10) chapter regarding the main condition for the sick leave; and (b) having at least one episode of sick leave due to mental illness, with or without change in the ICD-10 chapter over the follow-up period. The outcome was defined as return to work with adapted conditions. The causal model was established a priori and tested using a multiple logistic regression (MLR) model considering the effects of several confounding factors, and then compared with the same estimators obtained using Targeted Machine Learning. Results: Among workers in adapted conditions, 64% were health professionals, 34% had had changes in the ICD-10 chapter throughout the series of sick leaves, and 62% had diagnoses of mental health issues. In addition, they worked for less time at the university and were absent for longer periods. Having had a change in the illness condition reduced the chance of returning to work in another function by more than 30%, whereas having had at least one absence because of a cause related to mental and behavioral disorders more than doubled the chance of not returning to work in the same activity as before. Conclusion: These results were independent of the analysis technique used, which allows concluding that there were no advantages in the use of targeted maximum likelihood estimation (TMLE), given its difficulties in access, use, and assumptions.