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...

Full description

Saved in:
Bibliographic Details
Main Authors: Espinosa-Alarcón Patricia (Author), Pérez-Cuevas Ricardo (Author), Doubova (Dubova) (Author), Flores-Hernández Sergio (Author)
Format: Book
Published: BMC, 2010-02-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_d18844bceba4495495b49de91296348f
042 |a dc 
100 1 0 |a Espinosa-Alarcón Patricia  |e author 
700 1 0 |a Pérez-Cuevas Ricardo  |e author 
700 1 0 |a Doubova   |q  (Dubova)   |e author 
700 1 0 |a Flores-Hernández Sergio  |e author 
245 0 0 |a Social network types and functional dependency in older adults in Mexico 
260 |b BMC,   |c 2010-02-01T00:00:00Z. 
500 |a 10.1186/1471-2458-10-104 
500 |a 1471-2458 
520 |a <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> 
546 |a EN 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 10, Iss 1, p 104 (2010) 
787 0 |n http://www.biomedcentral.com/1471-2458/10/104 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/d18844bceba4495495b49de91296348f  |z Connect to this object online.