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
In 2016, the Joint Research Centre (JRC) of the European Commission and the International Institute for Applied Systems Analysis (IIASA) agreed to form a partnership, establishing the Centre of Expertise on Population and Migration (CEPAM). The work presented here summarises the first results published by CEPAM. The results reveal clear momentum towards population ageing, and how migration has limited ability to influence the population structure of the EU, especially in the long-run. On the other hand, boosting labour force participation can nullify expected rises in the dependency ratio from population ageing. Globally, the findings show the future of population growth and socio-economic development will be determined by the expansion of education, particularly among girls in Africa. Scenarios of either rapid or stalled development illustrate a large range of possible futures for world population by 2100.
BACKGROUNDMigration has become one of the most salient policy areas in the European Union. In response, the European Commission established a research team with the task of investigating a range of possible demographic futures.
OBJECTIVEThis paper explores the demographic effects of migration on eastern, southern, and western EU regions, using different scenarios to see the extent population size, workingage population, education composition, and total age dependency can be influenced.
METHODSWe use a deterministic cohort-component projection model that (a) incorporates improving levels of educational attainment in the population and (b) explicit consideration of migration between EU member states (MS) and migration between EU MS and the rest of the world. Eight stylised what-if scenarios are developed around a medium assumption projection.
RESULTSAlthough migration can have a large effect on total and working-age population size, the EU population will continue to age and see a rise in age dependency regardless. Despite depopulation occurring in many eastern MS, the region is and should remain in a better position than the south and on par with the west in terms of age dependency.
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