Perceptions of societal ageism and declines in subjective memory during the COVID‐19 pandemic: Longitudinal evidence from US adults aged ≥55 years.
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| Title: | Perceptions of societal ageism and declines in subjective memory during the COVID‐19 pandemic: Longitudinal evidence from US adults aged ≥55 years. |
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| Authors: | Cohn‐Schwartz, Ella (AUTHOR), Finlay, Jessica M. (AUTHOR), Kobayashi, Lindsay C. (AUTHOR) |
| Source: | Journal of Social Issues. Dec2022, Vol. 78 Issue 4, p924-938. 15p. 2 Charts, 1 Graph. |
| Subjects: | Ageism, Health of older people, Memory loss, COVID-19 pandemic, Social problems |
| Abstract: | The cognitive health of older adults since the COVID‐19 pandemic onset is unclear, as is the potential impact of pandemic‐associated societal ageism on perceived cognition. We investigated associations between perceptions of societal ageism and changes in subjective memory over a 10‐month period during the COVID‐19 pandemic. We collected longitudinal data from monthly online questionnaires in the nationwide COVID‐19 Coping Study of US adults aged ≥55 from April 2020 to January 2021 (N = 4444). We analyzed the data using multivariable longitudinal multilevel models. We identified an overall decline in subjective memory, especially in the initial months of the pandemic. Adults who perceived that societal respect for older adults decreased during the pandemic experienced more rapid declines in their subjective memory. These findings suggest that aging adults perceived a decline in their memory, especially during the initial months of the COVID‐19 pandemic. Societal interventions to combat ageism may help improve subjective memory and could decrease risk for cognitive decline among middle‐aged and older adults. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Social Issues is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract 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 abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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