Social network types and functional dependency in older adults in Mexico

<p>Abstract</p> <p>Background</p> <p>Social networks play a key role in caring for older adults. A better understanding of the characteristics of different social networks types (TSNs) in a given community provides useful information for designing policies to care for t...

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Main Authors: Espinosa-Alarcón Patricia, Pérez-Cuevas Ricardo, Doubova (Dubova) Svetlana, Flores-Hernández Sergio
Format: Article
Language:English
Published: BMC 2010-02-01
Series:BMC Public Health
Online Access:http://www.biomedcentral.com/1471-2458/10/104
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spelling doaj-d18844bceba4495495b49de91296348f2020-11-25T00:09:56ZengBMCBMC Public Health1471-24582010-02-0110110410.1186/1471-2458-10-104Social network types and functional dependency in older adults in MexicoEspinosa-Alarcón PatriciaPérez-Cuevas RicardoDoubova (Dubova) SvetlanaFlores-Hernández Sergio<p>Abstract</p> <p>Background</p> <p>Social networks play a key role in caring for older adults. A better understanding of the characteristics of different social networks types (TSNs) in a given community provides useful information for designing policies to care for this age group. Therefore this study has three objectives: 1) To derive the TSNs among older adults affiliated with the Mexican Institute of Social Security; 2) To describe the main characteristics of the older adults in each TSN, including the instrumental and economic support they receive and their satisfaction with the network; 3) To determine the association between functional dependency and the type of social network.</p> <p>Methods</p> <p>Secondary data analysis of the 2006 Survey of Autonomy and Dependency (N = 3,348). The TSNs were identified using the structural approach and cluster analysis. The association between functional dependency and the TSNs was evaluated with Poisson regression with robust variance analysis in which socio-demographic characteristics, lifestyle and medical history covariates were included.</p> <p>Results</p> <p>We identified five TSNs: diverse with community participation (12.1%), diverse without community participation (44.3%); widowed (32.0%); nonfriends-restricted (7.6%); nonfamily-restricted (4.0%). Older adults belonging to widowed and restricted networks showed a higher proportion of dependency, negative self-rated health and depression. Older adults with functional dependency more likely belonged to a widowed network (adjusted prevalence ratio 1.5; 95%CI: 1.1-2.1).</p> <p>Conclusion</p> <p>The derived TSNs were similar to those described in developed countries. However, we identified the existence of a diverse network without community participation and a widowed network that have not been previously described. These TSNs and restricted networks represent a potential unmet need of social security affiliates.</p> http://www.biomedcentral.com/1471-2458/10/104
collection DOAJ
language English
format Article
sources DOAJ
author Espinosa-Alarcón Patricia
Pérez-Cuevas Ricardo
Doubova (Dubova) Svetlana
Flores-Hernández Sergio
spellingShingle Espinosa-Alarcón Patricia
Pérez-Cuevas Ricardo
Doubova (Dubova) Svetlana
Flores-Hernández Sergio
Social network types and functional dependency in older adults in Mexico
BMC Public Health
author_facet Espinosa-Alarcón Patricia
Pérez-Cuevas Ricardo
Doubova (Dubova) Svetlana
Flores-Hernández Sergio
author_sort Espinosa-Alarcón Patricia
title Social network types and functional dependency in older adults in Mexico
title_short Social network types and functional dependency in older adults in Mexico
title_full Social network types and functional dependency in older adults in Mexico
title_fullStr Social network types and functional dependency in older adults in Mexico
title_full_unstemmed Social network types and functional dependency in older adults in Mexico
title_sort social network types and functional dependency in older adults in mexico
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2010-02-01
description <p>Abstract</p> <p>Background</p> <p>Social networks play a key role in caring for older adults. A better understanding of the characteristics of different social networks types (TSNs) in a given community provides useful information for designing policies to care for this age group. Therefore this study has three objectives: 1) To derive the TSNs among older adults affiliated with the Mexican Institute of Social Security; 2) To describe the main characteristics of the older adults in each TSN, including the instrumental and economic support they receive and their satisfaction with the network; 3) To determine the association between functional dependency and the type of social network.</p> <p>Methods</p> <p>Secondary data analysis of the 2006 Survey of Autonomy and Dependency (N = 3,348). The TSNs were identified using the structural approach and cluster analysis. The association between functional dependency and the TSNs was evaluated with Poisson regression with robust variance analysis in which socio-demographic characteristics, lifestyle and medical history covariates were included.</p> <p>Results</p> <p>We identified five TSNs: diverse with community participation (12.1%), diverse without community participation (44.3%); widowed (32.0%); nonfriends-restricted (7.6%); nonfamily-restricted (4.0%). Older adults belonging to widowed and restricted networks showed a higher proportion of dependency, negative self-rated health and depression. Older adults with functional dependency more likely belonged to a widowed network (adjusted prevalence ratio 1.5; 95%CI: 1.1-2.1).</p> <p>Conclusion</p> <p>The derived TSNs were similar to those described in developed countries. However, we identified the existence of a diverse network without community participation and a widowed network that have not been previously described. These TSNs and restricted networks represent a potential unmet need of social security affiliates.</p>
url http://www.biomedcentral.com/1471-2458/10/104
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