Characterization of Change in Cognition Before and After COVID-19 Infection in Essential Workers at Midlife
-
2024/12/01
-
Details
-
Personal Author:Ali A ; Babalola T ; Carr MA ; Clouston SAP ; Fontana A ; Jiang E ; Luft BJ ; Mehta N ; Morozova O ; Sekendiz Z
-
Description:Background: Research into COVID-19-related cognitive decline has focused on individuals who are cognitively impaired following hospitalization for COVID-19. Our objective was to determine whether cognitive decline emerged after the onset of COVID-19 and was more pronounced in patients with postacute sequelae of SARS-CoV-2 infection (PASC). Methods: We analyzed longitudinal cognitive data collected during a cohort study of essential workers at midlife that continued through the COVID-19 pandemic. We used longitudinal discontinuity models, a form of causal modeling, to examine the change in cognitive performance among 276 participants with COVID-19 in comparison to contemporaneously-collected information from 217 participants who did not have COVID-19. Cognitive performance across four domains was measured before and after the pandemic. Eligible study participants were those with validated COVID-19 diagnoses who were observed before having a verified COVID-19 infection who survived their initial infection, and for whom post-COVID-19 information was also available. Results: The mean age of the COVID-19 group was 56.0 +/- 6.6 years old, while the control group was 58.1 +/- 7.3 years old. Longitudinal models indicated a significant decline in cognitive throughput (β = -0.168, P = .001) following COVID-19, after adjustment for pre-COVID-19 functioning, demographics, and medical factors. Associations were larger in those with more severe COVID-19 and those who reported PASC. Observed changes in throughput were equivalent to 10.6 years of normal aging. Conclusion: Findings from this longitudinal causal modeling study revealed that COVID-19 and PASC appeared to cause clinically relevant cognitive deterioration. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:2667-0364
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Volume:12
-
NIOSHTIC Number:nn:20070636
-
Citation:Am J Med Open 2024 Dec; 12:100076
-
Contact Point Address:Sean Clouston, PhD, Program in Public Health, Stony Brook University, 101 Nichols rd., Stony Brook, NY, 11794, USA
-
Email:sean.clouston@stonybrookmedicine.edu
-
Federal Fiscal Year:2025
-
Performing Organization:State University of New York at Stony Brook
-
Peer Reviewed:True
-
Start Date:20210701
-
Source Full Name:American Journal of Medicine Open
-
End Date:20260630
-
Collection(s):
-
Main Document Checksum:urn:sha-512:dd7a3e9aee30327bb7d13b9baa4ae56fd57e87094c0491247a5d9ad9485bc660dac58a5a6718030fa9a392477d0a9a4e97485b4f2c76eac96e873eb3cb14e585
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like