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老年人死亡率的社会经济梯度:综述。

Socioeconomic gradients in mortality in the oldest old: a review.

机构信息

Institute of Social and Preventive Medicine, University Hospital and Faculty of Biology and Medicine, rue du Bugnon 17, 1005 Lausanne, Switzerland.

出版信息

Arch Gerontol Geriatr. 2010 Nov-Dec;51(3):e37-40. doi: 10.1016/j.archger.2009.12.009. Epub 2010 Jan 13.

Abstract

This review aims at identifying gaps in knowledge on socioeconomic gradients in mortality in the oldest old. The authors review literature on oldest old population with a focus on unanswered questions: do socioeconomic status (SES) gradients in mortality persist after 80; does the magnitude of the gradient change as compared with younger populations; which socioeconomic/socio-demographic determinants should be used in this population with specific characteristics (e.g., with respect to sex ratio and household type)? Results are often inconsistent while conclusions drawn by selected studies are generally limited by the difficulty of disentangling the effects of age and cohort, and of generalizing results observed in preponderantly small, selected samples (which typically exclude institutionalized persons). Future research should explore the effects of socio-demographic indicators other than education and social class (e.g., marital status, loss of the partner) and adequately differentiate the social position of oldest old women. The authors recommend that research applies a life-course perspective combined with an interdisciplinary perspective to improve our understanding of the SES gradients in later life. Research is needed to elucidate which causal pathways depending on SES in younger age impact on mortality in higher ages up to oldest old.

摘要

这篇综述旨在确定关于最年长老年人死亡率的社会经济梯度方面的知识差距。作者综述了有关最年长老年人的文献,重点关注未解答的问题:在 80 岁之后,死亡率是否存在社会经济地位(SES)梯度;与年轻人群体相比,梯度的幅度是否会发生变化;在具有特定特征的人群中(例如,性别比例和家庭类型方面),应该使用哪些社会经济/社会人口学决定因素?结果往往不一致,而选定研究得出的结论通常受到难以区分年龄和队列效应以及概括在主要是小的、选定的样本中观察到的结果的限制(这些样本通常排除了机构化人员)。未来的研究应探讨教育和社会阶层(例如,婚姻状况、伴侣丧失)以外的社会人口学指标的影响,并充分区分最年长老年妇女的社会地位。作者建议研究应用生命历程视角并结合跨学科视角,以增进我们对晚年 SES 梯度的理解。需要研究哪些取决于 SES 的因果途径会影响到更高年龄直至最年长老年人的死亡率。

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