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dc.contributor.authorCruz-Ausejo, L.
dc.contributor.authorOsada, J.
dc.contributor.authorRueda-Torres, L.
dc.contributor.authorIngunza Lastra, N.B.
dc.contributor.authorCarrasco-Muñoz, M.A.
dc.contributor.authorVera-Ponce, V.J.
dc.date.accessioned2025-10-31T18:34:40Z
dc.date.available2025-10-31T18:34:40Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.12805/5168
dc.description.abstractIntroduction: The COVID-19 pandemic led to the transition to remote work, triggering variations in stress and physical activity (PA), associated with context-specific instability. Objective: To identify the association between perceived stress (PS) and the level of physical activity (PA) and explore its relationship with the sociodemographic, family, work and individual characteristics of professors working remotely during the COVID-19 pandemic. Material and methods: Cross-sectional analytical study based on a virtual survey of professors. PS was assessed using the Perceived Stress Scale (PSS-14), and PA using an International Physical Activity Questionnaire. The prevalence of high PS and the association with PA were estimated using a Poisson regression analysis with robust variance that estimated crude prevalence ratios (cPR) and adjusted prevalence ratios (aPR) with a 95% confidence interval (CI). Five models were developed to assess associations of PS and PA with sociodemographic, family, work, and individual variables. Results: The information of 191 professors was analyzed; 39.27% were women, aged 52 (41–60). The prevalence of high stress was 47.12%. The age and being head of household did not show significant individual associations with PS. However, the regression analysis assessing the association of PS and other factors showed that compared to the moderate PA group, a statistically significant association was found between stress and high PA (aPR = 0.19; 0.06–0.59), low PA (aPR = 1.43; 1.02–2.01), mainly influenced by age, being head of household and sleep quality. Conclusion: Stress was associated with PA level, family and individual factors. These findings allow identifying characteristics, such as being head of household, age and quality of sleep among teachers, as being associated with a higher probability of having high stress. Subsequent studies should consider the role of individuals and working conditions as part of occupational health surveillance, given the presence of hybrid education in the education sector.en_US
dc.description.sponsorshipThis work was supported by Universidad Científica del Sur (PE) [“Fondo Beca Cabieses 2020-2”].
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofurn:issn:2405-8440
dc.rightshttps://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectHealth Care Dynamics in Brazilian Communitiesen_US
dc.subjectTeacher Health and Quality of Life in Brazilen_US
dc.titlePhysical activity level and factors associated with perceived stress among Peruvian university professors during the COVID-19 pandemicen_US
dc.typehttps://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.doihttps://doi.org/10.1016/j.heliyon.2023.e16439
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.03.10
dc.type.otherResearch article
dc.identifier.journalHeliyon
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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