Rosa Tereza Etsuko da Costa, Benício Maria Helena D'Aquino, Alves Maria Cecília Goi Porto, Lebrão Maria Lúcia
Instituto de Saúde, Secretaria de Estado da Saúde de São Paulo, Rua Santo Antonio 590, São Paulo, SP 01314, Brazil.
Cad Saude Publica. 2007 Dec;23(12):2982-92. doi: 10.1590/s0102-311x2007001200019.
This study aimed to describe the distribution of social support networks for the elderly in the City of São Paulo, Brazil, based on socioeconomic and demographic characteristics. A probability sample of 1,568 elderly persons (> 60 years) was studied (SABE query), focusing on structural and functional dimensions of social networks. Univariate and multiple logistic regression models were used to analyze the data. The best conditions in social networks were in the lowest income levels and the worst among older and unmarried people. For women, unmarried marital status was significantly associated with lower schooling. Cohabiting had the strongest influence on the functional dimension, while "living alone" significantly decreased the odds of social exchange. Multiple logistic regression by gender suggested that age, marital status, per capita income, and schooling were associated with social networks among elderly people. However, these relationships were expressed unevenly between the genders and depending on the socio-demographic characteristics of the different dimensions of the social support network.
本研究旨在基于社会经济和人口特征，描述巴西圣保罗市老年人社会支持网络的分布情况。对1568名60岁以上老年人的概率样本进行了研究（SABE查询），重点关注社会网络的结构和功能维度。使用单变量和多因素逻辑回归模型分析数据。社会网络中状况最佳的是收入水平最低的群体，而年龄较大和未婚人群的状况最差。对于女性而言，未婚婚姻状况与受教育程度较低显著相关。同居对功能维度的影响最强，而“独居”则显著降低了社会交往的几率。按性别进行的多因素逻辑回归表明，年龄、婚姻状况、人均收入和受教育程度与老年人的社会网络相关。然而，这些关系在不同性别之间以及取决于社会支持网络不同维度的社会人口特征时表现并不均衡。
