Diversity, integration, and variability of intergenerational relationships in old age: New insights from personal network research

IF 3.2 2区 社会学 Q1 SOCIOLOGY Social Science Research Pub Date : 2024-02-13 DOI:10.1016/j.ssresearch.2024.102991
Raffaele Vacca , Federico Bianchi
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引用次数: 0

Abstract

Relationships between family members from different generations have long been described as a source of solidarity and support in aging populations and, more recently, as a potential risk factor for COVID-19 contagion. Personal or egocentric network research offers a powerful kit of conceptual and methodological tools to study these relationships, but this has not yet been employed to its full potential in the literature. We investigate the heterogeneity, social integration, and individual correlates of intergenerational relationships in old age analyzing highly granular data on the personal networks of 230 older adults (2747 social ties) from a local survey in one of the areas of the world at the forefront of global aging trends (northern Italy). Using information on different layers in broad egocentric networks and on the structure of connectivity among the social contacts of aging people, we propose multiple conceptualizations and measures of intergenerational connectedness. Results show that intergenerational relationships are strongly integrated, but also highly diverse and variable, in older adults’ social networks. Different types of intergenerational ties exist in different network layers, with various relational roles, degrees of tie strength, and patterns of association with individual and tie characteristics. We discuss how new and existing personal network data can be leveraged to consider novel questions and hypotheses about intergenerational relationships in contemporary aging families.

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老年代际关系的多样性、融合性和可变性:个人网络研究的新见解
长期以来,不同代家庭成员之间的关系一直被描述为老龄人口团结和支持的源泉,最近又被描述为 COVID-19 传染的潜在风险因素。个人或以自我为中心的网络研究为研究这些关系提供了一套强大的概念和方法工具,但在文献中尚未充分发挥其潜力。我们研究了老年代际关系的异质性、社会融合和个体相关性,分析了来自全球老龄化趋势最前沿地区之一(意大利北部)当地调查的 230 名老年人个人网络(2747 条社会关系)的高粒度数据。我们利用广义自我中心网络中不同层次的信息以及老年人社会联系结构的信息,提出了代际联系的多种概念和测量方法。结果表明,在老年人的社交网络中,代际关系具有很强的综合性,但同时也具有高度的多样性和可变性。不同类型的代际联系存在于不同的网络层中,具有不同的关系作用、联系强度以及与个人和联系特征的关联模式。我们将讨论如何利用新的和现有的个人网络数据来思考有关当代老龄化家庭中代际关系的新问题和新假设。
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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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