Abstract
AbstractThe aim of this study was to identify factors associated with commuting stress using symptomatology among tertiary education employees in Georgetown Guyana. A cross sectional survey was conducted among 427 (100 male, 317 female) participants, with a mean age of 29.6(sd=8.7) years. Data about their demographic characteristics, psychosocial measures (perceived stress, coping and resilience), characteristics about their commute (length, mode, and satisfaction with commute infrastructure), and how often they experienced selected symptoms associated with stress on the daily commute was collected using a self administered questionnaire. A commuting stress score was calculated for each participant and this was followed by regression analysis. The results showed that after controlling for resiliency, coping, perception of job, total life stress, income levels and education all of which can contribute to how persons perceive hassles in their lives, the regression model demonstrated that females, persons who used public transportation, persons who have longer commute times and persons who are less satisfied with the commute infrastructure are more likely to report that they experience symptoms associated with stress while engaged in the daily commute compared to males, persons who use private transportation, persons who have shorter commute times and persons who are more satisfied with the commute infrastructure respectively. Once all controlled variables were accounted for, it appears that for this study population, age, where they live and whether or not they actively or passively commuted did not have any meaningful impact on whether they would report if they experienced stress associated symptoms while engaged in the daily commute. he results suggest the need for a multi-pronged approach to address commuting stress, involving individual healthcare, mental-health-centric urban transport design, improved commute infrastructure, and increased employer engagement. Future studies employing qualitative and experimental methods are recommended.
Publisher
Cold Spring Harbor Laboratory
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