ABSTRACT
COVID-19 era lockdown measures resulted in many workers performing their employment tasks remotely. While identifying individual-level predictors of COVID-19 era remote work, scholarship has neglected heterogeneity based on contextual characteristics. Using the first COVID-19 module (2020) of the Survey of Health, Ageing and Retirement in Europe (N = 8,121) and multinomial logistic regression analyses, this study examined how country-level digitalization, stringency of government COVID-19 containment measures, and COVID-19 era excess mortality moderated how individual-level age, health, education, and income affected working partly or fully remotely among older Europeans (50-89 years) continuing to work through the pandemic. The central findings are that higher societal digitalization reduced the positive association between education and fully remote work, and greater country-level excess mortality accentuated how more education and poorer health increased the probability of fully remote work. These findings are interpreted through the fundamental cause theory of health and the health belief model. They further lead to recommendations that during future epidemics, policies and programs should address the remote working capabilities of older persons with fewer years of education, with fewer skills with modern digital technologies, and in worse health, especially within nations that are less digitally developed and harder hit by the epidemic in question. [ FROM AUTHOR] Copyright of Sociological Perspectives is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
COVID-19-era lockdown policies resulted in many older persons entering unemployment, facing financial difficulties and social restrictions, and experiencing declining health. Employing the Survey of Health, Ageing and Retirement in Europe's first COVID-19 module (summer 2020) (N = 11,231) and the Karlson-Holm-Breen method for decomposition of effects within non-linear probability models (logistic regression modelling), we examined associations of pandemic-era lost work with older Europeans' (50-80 years of age) self-assessed health, depressive symptoms, and anxiety symptoms, and mediation through households' difficulties making ends meet, loneliness, and curtailed face-to-face contact with non-relatives. We find that lost work was associated with detriments in all three health outcomes. Total mediation was 23% for worsened self-assessed health, 42% for depressive symptoms, and 23% for anxiety symptoms. In all cases, combined mediation through the two social activity variables was approximately twice the magnitude of mediation through household financial difficulties. This evidence highlights the extent of employment's value for friendship formation and sustenance, and social activity, during the pandemic-era social restrictions. This might be accentuated among older persons because of the social constrictions often concomitant to advancing age. These results emphasize that the social correlates of lost employment, beyond the financial concomitants, should receive thorough research and policy attention, perhaps especially for older adults during public health crises.
ABSTRACT
Objectives: The effects of the COVID-19 outbreak on non-COVID-19-related healthcare need further investigation. Methods: Using the Survey of Health, Ageing and Retirement in Europe's COVID-19 module (2020) (N = 57,025), country-level data from the European Social Survey (2008) and OECD (2020), and logistic regressions, this study examines predictors of older Europeans' forgone, postponed, and denied healthcare during the pandemic. Results: Country-level availability of physicians, healthcare systems' generosity, and beliefs that older persons burden healthcare systems all increased forgone healthcare. Healthcare system generosity increased postponed and denied healthcare. Greater medical resources decreased denied healthcare. Furthermore, missed healthcare varied by individual-level gender (higher rates among women), age, education, and health. Discussion: This study reveals predictors of missed healthcare during the pandemic. To decrease unintended health consequences of a pandemic, both individual-level determinants, such as gender and health, and contextual-level determinants, such as healthcare systems' characteristics, should be considered in research and practice.