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成功老龄化的观点:系统评价和荟萃民族志。

Lay perspectives of successful ageing: a systematic review and meta-ethnography.

机构信息

Department of Public Health and Primary Care, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK.

出版信息

BMJ Open. 2013 Jun 20;3(6):e002710. doi: 10.1136/bmjopen-2013-002710.

Abstract

OBJECTIVES

The aim of the current study was to conduct a systematic review of lay perspectives of successful ageing (SA), synthesise these data using a metaethnographic framework and to provide a snapshot of extant lay perspectives of SA.

DESIGN

A systematic review of layperson perspectives of SA was conducted across MEDLINE, PsycInfo, CINAHL, EMBASE and ISI Web of Knowledge.

PARTICIPANTS

Peer-reviewed studies conducting qualitative investigations of lay perspectives of SA were included. Included studies were coded and analysed using NVivo V.9 to examine underlying themes of SA.

RESULTS

The search strategy identified 7285 articles; 26 articles met the inclusion criteria. Laypersons identified psychosocial components, notably engagement (eg, social engagement), and personal resources (eg, attitude) as integral components of SA more often than 'physiological' components, such as longevity or physical functioning. These results also highlight the profound under-representation of non-Western countries and the cultural homogeneity of research participants.

CONCLUSIONS

The current study reveals the importance laypersons place on incorporating psychosocial components into multidimensional models of SA, as well as highlighting the need for increased research with under-represented populations.

摘要

目的

本研究旨在对普通人群对成功老龄化(SA)的观点进行系统综述,使用元民族志框架对这些数据进行综合,并概述现有普通人群对 SA 的观点。

设计

对 MEDLINE、PsycInfo、CINAHL、EMBASE 和 ISI Web of Knowledge 中的普通人群对 SA 的观点进行了系统的综述。

参与者

纳入了对普通人群对 SA 的观点进行定性研究的同行评议研究。使用 NVivo V.9 对纳入的研究进行编码和分析,以检查 SA 的潜在主题。

结果

搜索策略确定了 7285 篇文章;26 篇文章符合纳入标准。与“生理”成分(如长寿或身体机能)相比,普通人群更经常将心理社会成分(如参与(例如,社会参与)和个人资源(如态度))确定为 SA 的重要组成部分。这些结果还突出表明,非西方国家的代表性严重不足,研究参与者的文化同质性。

结论

本研究揭示了普通人群将心理社会成分纳入 SA 的多维模型的重要性,并强调需要对代表性不足的人群进行更多的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccef/3686235/04e907e25481/bmjopen2013002710f02.jpg

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