Cruz-Ausejo Liliana, Osada J, Rueda-Torres L, Ingunza Lastra Nataly Briggete, Carrasco-Muñoz Miguel Alfredo, Vera-Ponce Victor Juan
Facultad de Ciencias de la salud, Universidad Científica del Sur, Lima 15074, Peru.
Universidad Peruana Cayetano Heredia, Lima 15012, Peru.
Heliyon. 2023 Jun;9(6):e16439. doi: 10.1016/j.heliyon.2023.e16439. Epub 2023 May 23.
The COVID-19 pandemic led to the transition to remote work, triggering variations in stress and physical activity (PA), associated with context-specific instability.
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.
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.
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.
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.
新冠疫情导致工作模式向远程办公转变,引发了压力和身体活动(PA)的变化,这与特定情境下的不稳定因素相关。
确定感知压力(PS)与身体活动水平(PA)之间的关联,并探讨其与在新冠疫情期间远程工作的教授的社会人口学、家庭、工作及个人特征之间的关系。
基于对教授的虚拟调查开展横断面分析研究。使用感知压力量表(PSS-14)评估PS,使用国际身体活动问卷评估PA。采用具有稳健方差的泊松回归分析估计高PS的患病率及其与PA的关联,该分析估计了粗患病率比(cPR)和调整患病率比(aPR)以及95%置信区间(CI)。构建了五个模型来评估PS和PA与社会人口学、家庭、工作及个人变量之间的关联。
分析了191名教授的信息;其中39.27%为女性,年龄为52岁(41 - 60岁)。高压力患病率为47.12%。年龄和作为户主与PS无显著个体关联。然而,评估PS与其他因素关联的回归分析表明,与中等PA组相比,压力与高PA(aPR = 0.19;0.06 - 0.59)、低PA(aPR = 1.43;1.02 - 2.01)之间存在统计学显著关联,主要受年龄、户主身份和睡眠质量影响。
压力与PA水平、家庭及个人因素相关。这些发现有助于识别一些特征,如教师中的户主身份、年龄和睡眠质量,这些特征与高压力的较高可能性相关。鉴于教育部门存在混合式教育,后续研究应将个人和工作条件的作用作为职业健康监测的一部分加以考虑。