A carregar...
Publicação
Presenteeism in Non-Academic Staff in a Public University Context: Prevalence, Associated Factors, and Reasons to Work While Sick during the COVID-19 Pandemic
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 955.55 KB | Adobe PDF |
Orientador(es)
Resumo(s)
Abstract: Presenteeism negatively affects worker performance. We aimed to know the prevalence of
presenteeism in non-academic university staff, identify health problems and associated factors, as
well as explore the reasons that led to presenteeism during the COVID-19 pandemic. A cross-sectional
study was conducted with a convenience sample of 332 non-academic staff. The Portuguese version
of the Stanford Presenteeism Scale (SPS-6) was used, and socio-demographic and occupational data
were collected. Participants were divided into groups according to the presenteeism cut-off score
(no presenteeists, presenteeists with high job performance, presenteeists with low job performance).
Multinomial regression was used to identify occupational and demographic characteristics associated
with presenteeism. An open question replies analysis made it possible to explore the reasons for going
to work while sick. Presenteeism was experienced by 30.1%. Presenteeism with high job performance
was not associated with socio-demographic and work factors. Professionals who performed only
physical work (OR = 9.4; 95% CI: 1.7; 51.0) and those who conducted hybrid work (OR = 4.1; 95%
CI: 1.8; 9.6) showed a higher risk of belonging to the presenteeist group with low job performance.
Financial reasons led professionals to work while sick. This study raises the importance of evaluating
presenteeism in non-academic staff to create conditions for them to maintain high performance
despite presenteeism and to intervene when there is low performance due to presenteeism.
Descrição
Palavras-chave
Presenteeism COVID-19 Higher education Non-academic university staff
Contexto Educativo
Citação
Int. J. Environ. Res. Public Health 2022, 19, 14966
Editora
MDPI