Neighborhood Integration and Connectivity Predict Cognitive Performance and Decline
dc.contributor.author | Watts, Amber | |
dc.contributor.author | Ferdous, Farhana | |
dc.contributor.author | Diaz Moore, Keith | |
dc.contributor.author | Burns, Jeffrey M. | |
dc.date.accessioned | 2017-01-05T17:42:32Z | |
dc.date.available | 2017-01-05T17:42:32Z | |
dc.date.issued | 2015-08-05 | |
dc.identifier.citation | Watts, A., F. Ferdous, K. Diaz Moore, and J. M. Burns. "Neighborhood Integration and Connectivity Predict Cognitive Performance and Decline." Gerontology and Geriatric Medicine 1.0 (2015): n. pag. | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/22456 | |
dc.description.abstract | Objective: Neighborhood characteristics may be important for promoting walking, but little research has focused on older adults, especially those with cognitive impairment. We evaluated the role of neighborhood characteristics on cognitive function and decline over a 2-year period adjusting for measures of walking. Method: In a study of 64 older adults with and without mild Alzheimer’s disease (AD), we evaluated neighborhood integration and connectivity using geographical information systems data and space syntax analysis. In multiple regression analyses, we used these characteristics to predict 2-year declines in factor analytically derived cognitive scores (attention, verbal memory, mental status) adjusting for age, sex, education, and self-reported walking. Results: Neighborhood integration and connectivity predicted cognitive performance at baseline, and changes in cognitive performance over 2 years. The relationships between neighborhood characteristics and cognitive performance were not fully explained by self-reported walking. Discussion: Clearer definitions of specific neighborhood characteristics associated with walkability are needed to better understand the mechanisms by which neighborhoods may impact cognitive outcomes. These results have implications for measuring neighborhood characteristics, design and maintenance of living spaces, and interventions to increase walking among older adults. We offer suggestions for future research measuring neighborhood characteristics and cognitive function. | en_US |
dc.publisher | SAGE Publications | en_US |
dc.rights | This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). | en_US |
dc.rights.uri | http://www.creativecommons.org/licenses/by-nc/3.0/ | |
dc.subject | Neighborhood | en_US |
dc.subject | Cognitive decline | en_US |
dc.subject | Alzheimer's disease | en_US |
dc.subject | Walking | en_US |
dc.title | Neighborhood Integration and Connectivity Predict Cognitive Performance and Decline | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Watts, Amber | |
kusw.kuauthor | Ferdous, Farhana | |
kusw.kudepartment | Psychology | en_US |
kusw.kudepartment | Architecture, Design and Planning | en_US |
dc.identifier.doi | 10.1177/2333721415599141 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.rights.accessrights | openAccess |
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