Department of Medical Sociology, University Duesseldorf, Heinrich-Heine-Universität Duesseldorf, Universitätsstrasse 1, Duesseldorf, Germany.
Int J Equity Health. 2008 May 5;7:13. doi: 10.1186/1475-9276-7-13.
Social networks and social support are supposed to contribute to the development of unequal health within populations. However, little is known about their socio-economic distribution. In this study, we explore this distribution.
This study analyses the association of two indicators of socio-economic position, education and income, with different measures of social networks and support. Cross-sectional data have been derived from the baseline examination of an epidemiological cohort study of 4.814 middle aged urban inhabitants in Germany (Heinz Nixdorf Recall Study). Bivariate and multivariate logistic regression analysis were carried out to estimate the risk of having poor social networks and support across socio-economic groups.
Socially disadvantaged persons more often report poor social networks and social support. In multivariate analyses, based on education, odds ratios range from 1.0 (highest education) to 4.9 (lowest education) in a graded way. Findings based on income show similar effects, ranging from 1.0 to 2.5. There is one exception: no association of SEP with close ties living nearby and regularly seen was observed.
Poor social networks and low social support are more frequent among socio-economically disadvantaged people. To some extent, this finding varies according to the indicator chosen to measure these social constructs.
社会网络和社会支持应该有助于人群中健康不平等的发展。然而,人们对它们的社会经济分布知之甚少。在这项研究中,我们探讨了这种分布。
本研究分析了两个社会经济地位指标(教育和收入)与社会网络和支持的不同衡量指标之间的关联。横断面数据来自德国一项中年城市居民的流行病学队列研究(Heinz Nixdorf 回顾研究)的基线检查。采用双变量和多变量逻辑回归分析来估计社会经济群体中社会网络和支持较差的风险。
社会劣势人群更经常报告社会网络和社会支持较差。在基于教育的多变量分析中,优势比从最高教育(1.0)到最低教育(4.9)呈梯度分布。基于收入的发现也显示出类似的影响,范围从 1.0 到 2.5。有一个例外:社会经济地位与附近经常见面的亲密关系之间没有关联。
社会经济地位较低的人更容易出现社会网络较差和社会支持较低的情况。在某种程度上,这一发现因用于衡量这些社会结构的指标而异。