Social network types and functional dependency in older adults in Mexico

• Published in: BMC public health Vol. 10; no. 1; p. 104
• Main Authors: Doubova Dubova, Svetlana Vladislavovna, Pérez-Cuevas, Ricardo, Espinosa-Alarcón, Patricia, Flores-Hernández, Sergio
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 27-02-2010; BioMed Central; BMC
• Subjects: Activities of Daily Living - psychology; Aged; Aged, 80 and over; Analysis; Analysis of Variance; Demographic aspects; Dependency (Psychology); Family Relations; Female; Geriatric Assessment; Humans; Life Style; Male; Mexico; Personal Autonomy; Poisson Distribution; Psychometrics; Regression Analysis; Research article; Social networks; Social Security; Social Support; Socioeconomic Factors; Widowhood - psychology; Widowhood - statistics & numerical data; Mexico
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/1471-2458-10-104

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.
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.
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).
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.