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首页> 外文期刊>Contemporary social science >Interdisciplinary perspectives on grandparental investment: a journey towards causality
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Interdisciplinary perspectives on grandparental investment: a journey towards causality

机译:祖父母投资的跨学科观点:因果关系之旅

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Why do grandparents invest so heavily in their grandchildren and what impact does this investment have on families? A multitude of factors influence the roles grandparents play in their families. Here, we present an interdisciplinary perspective of grandparenting incorporating theory and research from evolutionary biology, sociology and economics. Discriminative grandparental solicitude, biological relatedness and the impact of resource availability are three phenomena used to illustrate how these perspectives, within such a multi-level approach, add value by complementing not competing with each other. Changing demographics mean there is greater demand and opportunity for actively engaged grandparents to help their families, especially in times of need. Grandparents have been filling this emerging niche because in some societies the role of community and government never has, or increasingly cannot, meet the diverse needs of families. Built on an empirical foundation of descriptive and correlational research, grandparent research has rapidly entered a phase where the potential causal relationships between grandparents' roles and family health, well-being and structure can be scrutinised. Together, these investigations are producing high-quality evidence that ultimately can support informed public policy and service delivery decisions. We finish by detailing two examples of such research efforts that highlight opportunities for future research.
机译:为什么祖父母对孙子孙女进行大量投资,这对家庭有什么影响?许多因素影响祖父母在家庭中扮演的角色。在这里,我们提出了祖父母的跨学科视角,其中融合了进化生物学,社会学和经济学的理论和研究。区别性的祖父母抚养,生物亲缘关系和资源可得性的影响是三个现象,用于说明在这种多层次方法中这些观点如何通过互补而不相互竞争来增加价值。不断变化的人口特征意味着积极参与的祖父母需要更大的需求和机会来帮助其家庭,尤其是在有需要的时候。祖父母一直在填补这一新兴的利基市场,因为在某些社会中,社区和政府的作用从未满足或越来越无法满足家庭的各种需求。在描述性和相关性研究的经验基础上,祖父母的研究已迅速进入一个阶段,可以仔细研究祖父母的角色与家庭健康,幸福感和结构之间的潜在因果关系。这些调查共同产生了高质量的证据,最终可以支持知情的公共政策和服务提供决策。最后,我们将详细介绍此类研究工作的两个示例,这些示例突出了未来研究的机会。

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