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Rural-Urban Differences in Cognition

Findings From the Advanced Cognitive Training for Independent and Vital Elderly Trial

Datos Bibliográficos

ID12797707
AutoresNessa Steinberg (0000-0002-8643-1922, Marcus Institute for Aging, Hebrew SeniorLife, Boston, MA, USA, autor de correspondencia), Jeanine M Parisi (0000-0002-0877-6845, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA), Danielle Feger (Johns Hopkins University), Danielle M Feger (0000-0002-1265-6475, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA), Wesley R Browning (0000-0002-7529-6120, University of Alabama at Birmingham), Sherry L Willis (0000-0002-1404-179X, University of Washington), Karlene Ball (0000-0003-1811-9870, University of Alabama at Birmingham), Karlene K Ball (University of Alabama at Birmingham), Michael Marsiske (0000-0001-5973-2116, University of Florida), Erin R Harrell (0000-0002-5355-5232, University of Alabama), Shannon Sisco (Michael E. DeBakey VA Medical Center), Shannon M Sisco (Michael E. DeBakey VA Medical Center, Houston, TX, USA), George W Rebok (0000-0002-5371-8767, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA)
Año2022
Volumen35
Número9_suppl
Páginas107S-118S
Fecha de publicación2022-05-23
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Aging and Health (JOURNAL)
Identificadores de la revistaISSN: 1552-6887 • E-ISSN: 0898-2643
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/08982643221102718
PMID35604034
OpenAlexW4281297475
IdiomaEN
Citas recibidas3
Referencias citadas68

ObjectivesWe examined associations between three geographic areas (urban, suburban, rural) and cognition (memory, reasoning, processing speed) over a 10-year period. Methods: Data were obtained from 2539 participants in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) trial. Multilevel, mixed-effects linear regression was used to estimate cognitive trajectories by geographical areas over 10 years, after adjusting for social determinants of health. Results: Compared to urban and suburban participants, rural participants fared worse on all cognitive measures-memory ( B = -1.17 (0.17)), reasoning ( B = -1.55 (0.19)), and processing speed ( B = 0.76 (0.19)) across the 10-year trajectory. Across geographic areas, greater economic stability, health care access and quality, and neighborhood resources were associated with better cognition over time. Discussion: Findings highlight the importance of geographical location when examining cognition later in life. More research examining place-based life experiences is needed to make the greatest impact on geographically diverse communities

Cognition · Multilevel model · Psychiatry · Quality of life (healthcare · Rural area · Sociology · Aging and Gerontology Research · Computer Science · Demography · Health disparities and outcomes · Medicine · Migration, Aging, and Tourism Studies · Nursing · Psychology · Gerontology

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Obras citantes distintas3
Citas por año1,5
Intervalo de citas2024 - 2026 (3)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 3
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