The purpose of this study was to investigate the role of county-level population health determinants in predicting individual employee reactions to economic stress. Using multilevel modeling and a population health perspective, we tested a model linking nationally representative individual-level data (N = 100,968) on exposure to economic stressors and county-level population health determinants (N = 3,026) to responses on a composite measure of individual well-being that included the facets of purpose, community, physical, and social well-being, as well as life satisfaction. Results indicate that higher income- and employment-related economic stress were significantly related to poorer well-being. Additionally, living in a county with more positive population health determinants was significantly predictive of individual well-being. Finally, the Level-1 relationship between income-related stress and well-being was significantly attenuated for individuals living in counties with more positive population health determinants. In contrast, employment-related stress had a stronger negative relationship with well-being for individuals who lived in counties with more positive population health determinants. We discuss these findings in light of conservation of resources and relative deprivation theories, as well as how they may extend the scientific foundation for evidence-based social policy and evidence-based intervention programs aimed at lessening the effects of economic stress on individual well-being. (PsycINFO Database Record

Employees in high-risk occupations can experience stigma associated with developing mental health problems and getting treatment for problems that can oftentimes be attributed to traumatic events encountered at work. The present study examined the perceived unit climate of support for mental health as a predictor of changes (over the course of 3 months) in the perceived stigma associated with seeking treatment, positive and negative attitudes toward treatment seeking, and a preference for handling mental health problem oneself, as well as talking with fellow unit members and a mental health professional about a mental health problem. Active-duty military personnel (N = 349 at Time 1, N = 112 matched at Time 2) completed measures assessing unit climate and individual beliefs about treatment at two points in time separated by 3 months. The results of structural equation modeling revealed strong evidence for perceived unit climate of support for mental health at Time 1 predicting a change in perceived stigma and attitudes toward treatment seeking at Time 2. A more positive perceived unit climate of support was associated with decreases in stigma, more positive attitudes toward treatment seeking, and less negative attitudes toward treatment seeking. Among those soldiers with a mental health problem (N = 164), a more positive perceived unit climate for mental health was associated with a greater likelihood of talking with a fellow unit member about the problem and receiving mental health treatment. Implications of the results for unit-level interventions in high-risk occupations are discussed.

Stressors can have negative effects on well‐being, but little is known about how an individual's inability to precisely forecast upcoming stress could be a risk factor for well‐being. Antecedents and outcomes of two stress forecasting variables, anticipated stress level and underestimation errors in stress forecasting (operationalized by the residual change scores obtained by regressing the evening experienced stress on the morning anticipated stress), were investigated. In a daily diary study of 110 undergraduate students over a workweek, poor sleep quality and negative affect reported in the morning predicted a higher anticipated stress of the upcoming day. Poor sleep quality was found to be related to less underestimation errors (i.e., more overestimation). Mispredicting the daily stress level was found to predict greater health complaints and negative affect by the end of the day. Those high on trait resilience were found to make fewer underestimation errors on average. Worse emotional outcomes were associated with underestimation errors during stress forecasting than with overestimation errors. This study demonstrates that examining an individual's experience in forecasting upcoming stressors is an important area for future research in determining points of intervention to promote adaptive management of daily demands.

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While researchers have begun to investigate theory and methods related to attenuating stress‐related issues at work, one underexplored area is a barrier to reporting stress‐related concerns in the workplace. Research on organizational climate broadly covers psychosocial safety at work. However, the literature has not examined other, more specific factors such as stigma towards reporting stress‐related concerns in the workplace. Using a prospective design, the current study examined the distinction between psychosocial safety climate (PSC) and stigmas surrounding reporting stress that may exist in organizations. Furthermore, we investigated whether PSC would buffer against the effects of such stigmas. The findings of this study indicate that stigma and PSC are distinct and can independently predict psychosocial outcomes. The results also indicate that PSC may play a role in attenuating the effects of these stigmas on some psychosocial outcomes. Implications and potential avenues for future research in this area are discussed.