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携手共进:通过多队列分析方法推进生命历程研究。

Better together: Advancing life course research through multi-cohort analytic approaches.

作者信息

O'Connor Meredith, Spry Elizabeth, Patton George, Moreno-Betancur Margarita, Arnup Sarah, Downes Marnie, Goldfeld Sharon, Burgner David, Olsson Craig A

机构信息

Murdoch Children's Research Institute, Parkville, Australia; University of Melbourne, Department of Paediatrics, Parkville, Australia.

Murdoch Children's Research Institute, Parkville, Australia; University of Melbourne, Department of Paediatrics, Parkville, Australia; Deakin University, Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Geelong, Australia.

出版信息

Adv Life Course Res. 2022 Sep;53:100499. doi: 10.1016/j.alcr.2022.100499. Epub 2022 Jul 18.

Abstract

Longitudinal cohorts can provide timely and cost-efficient evidence about the best points of health service and preventive interventions over the life course. Working systematically across cohorts has the potential to further exploit these valuable data assets, such as by improving the precision of estimates, enhancing (or appropriately reducing) confidence in the replicability of findings, and investigating interrelated questions within a broader theoretical model. In this conceptual review, we explore the opportunities and challenges presented by multi-cohort approaches in life course research. Specifically, we: 1) describe key motivations for multi-cohort work and the analytic approaches that are commonly used in each case; 2) flag some of the scientific and pragmatic challenges that arise when adopting these approaches; and 3) outline emerging directions for multi-cohort work in life course research. Harnessing their potential while thoughtfully considering limitations of multi-cohort approaches can contribute to the robust and granular evidence base needed to promote health and wellbeing over the life span.

摘要

纵向队列研究能够提供及时且具有成本效益的证据,以说明整个生命历程中卫生服务和预防性干预的最佳时机。跨队列进行系统性研究有可能进一步挖掘这些宝贵的数据资产,例如通过提高估计的精度、增强(或适当降低)对研究结果可重复性的信心,以及在更广泛的理论模型中研究相互关联的问题。在这篇概念性综述中,我们探讨了生命历程研究中多队列方法所带来的机遇和挑战。具体而言,我们:1)描述多队列研究的关键动机以及每种情况下常用的分析方法;2)指出采用这些方法时出现的一些科学和实际挑战;3)概述生命历程研究中多队列研究的新方向。在充分考虑多队列方法局限性的同时发挥其潜力,有助于建立促进整个生命周期健康和福祉所需的有力且细致的证据基础。

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