Journal article
Alyssa H. Sinclair, Matthew L. Stanley, Shabnam Hakimi, Roberto Cabeza, R. Alison Adcock, Gregory R. Samanez-Larkin
Nature Aging, vol. 1, 2021 Aug 5, pp. 677-683
Nature Aging, vol. 1, 2021 Aug 5, pp. 677-683
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Sinclair, A. H., Stanley, M. L., Hakimi, S., Cabeza, R., Adcock, R. A., & Samanez-Larkin, G. R. (2021). Imagining a personalized scenario selectively increases perceived risk of viral transmission for older adults. Nature Aging, 1, 677–683. https://doi.org/10.1038/s43587-021-00095-7
Chicago/Turabian
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Sinclair, Alyssa H., Matthew L. Stanley, Shabnam Hakimi, Roberto Cabeza, R. Alison Adcock, and Gregory R. Samanez-Larkin. “Imagining a Personalized Scenario Selectively Increases Perceived Risk of Viral Transmission for Older Adults.” Nature Aging 1 (August 5, 2021): 677–683.
MLA
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Sinclair, Alyssa H., et al. “Imagining a Personalized Scenario Selectively Increases Perceived Risk of Viral Transmission for Older Adults.” Nature Aging, vol. 1, Aug. 2021, pp. 677–83, doi:10.1038/s43587-021-00095-7.
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@article{alyssa2021a,
title = {Imagining a personalized scenario selectively increases perceived risk of viral transmission for older adults},
year = {2021},
month = aug,
day = {5},
journal = {Nature Aging},
pages = {677-683},
volume = {1},
doi = {10.1038/s43587-021-00095-7},
author = {Sinclair, Alyssa H. and Stanley, Matthew L. and Hakimi, Shabnam and Cabeza, Roberto and Adcock, R. Alison and Samanez-Larkin, Gregory R.},
month_numeric = {8}
}
The COVID-19 pandemic has created a serious and prolonged public health emergency. Older adults have been at substantially greater risk of hospitalization, intensive care unit admission and death due to COVID-19. As of February 2021, over 81% of COVID-19-related deaths in the US occurred in people over the age of 65. Converging evidence from around the world suggests that age is the greatest risk factor for severe COVID-19 illness and for the experience of adverse health outcomes. Therefore, effectively communicating health-related risk information requires tailoring interventions to the needs of older adults. Using a new informational intervention with a nationally representative sample of 546 US residents, we found that older adults reported increased perceived risk of COVID-19 transmission after imagining a personalized scenario with social consequences. Although older adults tended to forget numerical information over time, the personalized simulations elicited increases in perceived risk that persisted over a 1–3 week delay. Overall, our results bear broad implications for communicating information about health risks to older adults and suggest new strategies to combat annual influenza outbreaks.