Occupational Health Science最新文献

Work teams are becoming increasingly heterogeneous with respect to their team members' ethnic backgrounds. Two lines of research examine ethnic diversity in work teams: The compositional approach views team-level ethnic heterogeneity as a team characteristic, and relational demography views individual-level ethnic dissimilarity as an individual member's relation to their team. This study compares and contrasts team-level ethnic heterogeneity and individual-level ethnic dissimilarity regarding their effects on impaired well-being (i.e., emotional strain) via team- and individual-level emotional conflict. Fifty teams of retail chain salespeople (n = 602) participated in our survey at two points of measurement. Based on the ethnic background of team members, we calculated team-level ethnic heterogeneity that applied to all members, and individual-level ethnic dissimilarity within the team that varied according to each member's ethnic background. Multilevel path modeling showed that high levels of team-level ethnic heterogeneity were related to high levels of emotional strain via team-level emotional conflict. However, the opposite was found for individual-level ethnic dissimilarity. We discussed this difference by contextualizing individual-level ethnic dissimilarity in the team-level heterogeneity and social status of ethnic groups in society at large. Our findings suggest that the social status of the ethnic group to which team members belong may impact how ethnic diversity relates to team processes and well-being.

Unlike precarious employment which is temporary and insecure, with inadequate pay, benefits, and legal protections, precarious work schedules can affect workers with permanent full-time jobs in sectors where employment has historically been secure, well-compensated, and even unionized. Precarious work schedules - characterized by long shifts, non-daytime hours, intensity and unsocial work hours - are increasingly prevalent. Relations between precarious work schedules and poor health are not well understood, and less is known about how to attenuate this relation. We examined the indirect effects of precarious work schedules on fatigue and depressive symptoms through sleep quantity. Two moderators - schedule flexibility and sleep quality - were examined as buffers of these associations. Workers from the Departments of Correction and Transportation in a northeast state (N = 222) took surveys and reported on demographics, work schedule characteristics, schedule flexibility, sleep quality and quantity, fatigue, and depressive symptoms. Results revealed that precarious work schedules had indirect effects on fatigue and depressive symptoms through sleep quantity. Schedule flexibility moderated the relation between precarious work schedules and sleep quantity, such that workers with greater schedule flexibility had more hours of sleep. Sleep quality moderated the association between sleep quantity and fatigue and depressive symptoms, such that workers reported greater fatigue and depressive symptoms when they had poorer sleep quality. Findings have direct applicability for developing initiatives that enhance Total Worker Health® through individual and organizational changes.

Supplementary information: The online version contains supplementary material available at 10.1007/s41542-022-00114-y.

Given the rapid growth of intervention research in the occupational health sciences and related fields (e.g. work-family), we propose that occupational health scientists adopt an "alpha, beta, gamma" change approach when evaluating intervention efficacy. Interventions can affect absolute change in constructs directly (alpha change), changes in the scales used to assess change (beta change) or redefinitions of the construct itself (gamma change). Researchers should consider the extent to which they expect their intervention to affect each type of change and select evaluation approaches accordingly. We illustrate this approach using change data from groups of IT professionals and health care workers participating in the STAR intervention, designed by the Work Family Health Network. STAR was created to effect change in employee work-family conflict via supervisor family-supportive behaviors and schedule control. We hypothesize that it will affect change via all three change approaches-gamma, beta, and alpha. Using assessment techniques from measurement equivalence approaches, we find results consistent with some gamma and beta change in the IT company due to the intervention; our results suggest that not accounting for such change could affect the evaluation of alpha change. We demonstrate that using a tripartite model of change can help researchers more clearly specify intervention change targets and processes. This will enable the assessment of change in a way that has stronger fidelity between the theories used and the outcomes of interest. Our research has implications for how to assess change using a broader change framework, which employs measurement equivalence approaches in order to advance the design and deployment of more effective interventions in occupational settings.

Supplementary information: The online version contains supplementary material available at 10.1007/s41542-022-00122-y.