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TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE

Social networks are critical in maintaining late-life functional health, but, previous studies have focused on isolated dimensions of social networks. We examined whether network types, representing multiple interrelated network characteristics, are associated with mobility and disability among olde...

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Autores principales: Ali, Talha, Elliott, Michael, Antonucci, Toni C, Needham, Belinda, Zelner, Jonathan, de Leon, Carlos Mendes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6845878/
http://dx.doi.org/10.1093/geroni/igz038.635
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author Ali, Talha
Elliott, Michael
Antonucci, Toni C
Needham, Belinda
Zelner, Jonathan
de Leon, Carlos Mendes
author_facet Ali, Talha
Elliott, Michael
Antonucci, Toni C
Needham, Belinda
Zelner, Jonathan
de Leon, Carlos Mendes
author_sort Ali, Talha
collection PubMed
description Social networks are critical in maintaining late-life functional health, but, previous studies have focused on isolated dimensions of social networks. We examined whether network types, representing multiple interrelated network characteristics, are associated with mobility and disability among older adults in America. Data are from the National Social Life, Health, and Aging Project, a nationally representative study of 3,005 adults aged 57-85 years at baseline (2005-2006). In a previous analysis, five social network types were derived at baseline, based on nine observed network characteristics. Functional outcomes were examined during two follow-up waves in 2010-2011 and 2015-2016. Mobility-related function was assessed as the time (in seconds) to complete a 6-meter walk. Disability was defined as experiencing any difficulty in performing one of six activities of daily living (ADLs). We estimated the effect of network types on risk of ADL disability onset using logistic regression, and on mobility using generalized linear mixed models. Social network type was associated with mobility over time, such that older adults in the “restricted” network had significantly slower walking times than those in the “diverse” network. There was no association between network types and risk of disability onset in the primary analysis. However, sensitivity analyses showed a protective effect of the “partner-centered” network on a 5-year, but not a 10-year, risk of disability onset. Network types can elucidate older adults’ varied interpersonal and caregiving networks, and identify adults at risk of being socially isolated. However, the utility of network types in predicting late-life functional health may be limited.
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spelling pubmed-68458782019-11-18 TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE Ali, Talha Elliott, Michael Antonucci, Toni C Needham, Belinda Zelner, Jonathan de Leon, Carlos Mendes Innov Aging Session 925 (Poster) Social networks are critical in maintaining late-life functional health, but, previous studies have focused on isolated dimensions of social networks. We examined whether network types, representing multiple interrelated network characteristics, are associated with mobility and disability among older adults in America. Data are from the National Social Life, Health, and Aging Project, a nationally representative study of 3,005 adults aged 57-85 years at baseline (2005-2006). In a previous analysis, five social network types were derived at baseline, based on nine observed network characteristics. Functional outcomes were examined during two follow-up waves in 2010-2011 and 2015-2016. Mobility-related function was assessed as the time (in seconds) to complete a 6-meter walk. Disability was defined as experiencing any difficulty in performing one of six activities of daily living (ADLs). We estimated the effect of network types on risk of ADL disability onset using logistic regression, and on mobility using generalized linear mixed models. Social network type was associated with mobility over time, such that older adults in the “restricted” network had significantly slower walking times than those in the “diverse” network. There was no association between network types and risk of disability onset in the primary analysis. However, sensitivity analyses showed a protective effect of the “partner-centered” network on a 5-year, but not a 10-year, risk of disability onset. Network types can elucidate older adults’ varied interpersonal and caregiving networks, and identify adults at risk of being socially isolated. However, the utility of network types in predicting late-life functional health may be limited. Oxford University Press 2019-11-08 /pmc/articles/PMC6845878/ http://dx.doi.org/10.1093/geroni/igz038.635 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Session 925 (Poster)
Ali, Talha
Elliott, Michael
Antonucci, Toni C
Needham, Belinda
Zelner, Jonathan
de Leon, Carlos Mendes
TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE
title TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE
title_full TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE
title_fullStr TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE
title_full_unstemmed TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE
title_short TYPES OF SOCIAL NETWORKS AND THEIR ASSOCIATION WITH MOBILITY AND DISABILITY IN LATE LIFE
title_sort types of social networks and their association with mobility and disability in late life
topic Session 925 (Poster)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6845878/
http://dx.doi.org/10.1093/geroni/igz038.635
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