Giles Lynne C, Metcalf Patricia A, Anderson Craig S, Andrews Gary R
Faculty of Health Studies, Auckland University of Technology, Auckland, New Zealand.
J Cancer Epidemiol Prev. 2002;7(4):195-204.
The purpose of the study was to validate a set of measures of social networks that will be useful in epidemiological studies of the health of older persons.
Confirmatory factor analysis was used to test a multi-dimensional model of social networks. Data were drawn from The Australian Longitudinal Study of Ageing, conducted in the greater metropolitan area of Adelaide, South Australia. Participants were 1477 persons aged > or = 70 years who lived in the community or an institution and took part in the Australian Longitudinal Study of Ageing. Social networks with children, other relatives, friends and confidants were considered. Demographic indicators of gender, age group, income, education, marital status and place of residence were also measured, and social networks were compared for categories of these variables.
Networks with children, relatives, friends and confidants were substantiated in these analyses. Differences in networks between categories of the demographic variables were evident.
Adoption of the proposed measures will allow greater comparability between studies of older persons. This could lead to a better understanding of the effect of specific social networks upon health.
本研究的目的是验证一套社交网络测量方法,这些方法将有助于对老年人健康进行流行病学研究。
采用验证性因素分析来检验社交网络的多维模型。数据取自澳大利亚老龄化纵向研究,该研究在南澳大利亚阿德莱德的大都市区进行。参与者为1477名年龄≥70岁的人,他们居住在社区或机构中,并参与了澳大利亚老龄化纵向研究。研究考虑了与子女、其他亲属、朋友和知己的社交网络。还测量了性别、年龄组、收入、教育程度、婚姻状况和居住地点等人口统计学指标,并对这些变量类别下的社交网络进行了比较。
在这些分析中,与子女、亲属、朋友和知己的网络得到了证实。人口统计学变量类别之间的网络差异明显。
采用所提出的测量方法将使老年人研究之间具有更大的可比性。这可能有助于更好地理解特定社交网络对健康的影响。