Stress and job satisfaction over time, the influence of the managerial position: A bivariate longitudinal modelling of Wittyfit data

Abstract

Background The managerial position affects stress and job satisfaction of workers, but these influences have always been studied separately. Objective We aimed to assess bivariate influence of the managerial position on workers’ stress and job satisfaction and the inter-relationship of these indicators over time. Methods We have analyzed data from workers who use the Wittyfit software, collected annually between 2018 and 2021. Stress and job satisfaction were evaluated by self-report questionnaires. Job position (manager or employee) was provided by the software’s client companies. Results Data of 704 workers were included in the study. Cross-sectional and longitudinal multivariate analyses revealed that managerial position improves job satisfaction (p<0.001), but not stress (p = 0.4). Overall, while workers’ job satisfaction has improved (p<0.001), stress has remained stable over time (p = 0.3). Three latent groups, with specific evolutionary multi-trajectory of stress and job satisfaction were identified in the sample (entropy = 0.80). Age and seniority, but not gender tended to influence managers’ and employees’ indicators. Over time, stress and job satisfaction have tended to negatively interconnect, in cross-section and in a cross-lagged manner (p<0.001). Conclusions The managerial position improves workers’ job satisfaction but has no effect on stress. Sociodemographics including age and seniority, but not gender, can affect this relationship. Stress and job satisfaction can influence each other, both cross-sectionally and over time. To be more effective, organizations should implement holistic strategies targeting multiple indicators.