更好地在一起:通过多队列分析方法推进生命历程研究

IF 3.4 2区 社会学 Q1 Medicine
Meredith O’Connor , Elizabeth Spry , George Patton , Margarita Moreno-Betancur , Sarah Arnup , Marnie Downes , Sharon Goldfeld , David Burgner , Craig A. Olsson
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引用次数: 9

摘要

纵向队列可以提供及时和具有成本效益的证据,说明生命过程中卫生服务和预防干预的最佳点。系统地跨群体工作有可能进一步利用这些有价值的数据资产,例如通过提高估计的精度,增强(或适当降低)对研究结果可复制性的信心,以及在更广泛的理论模型中调查相关问题。在这一概念综述中,我们探讨了多队列方法在生命历程研究中所带来的机遇和挑战。具体来说,我们:1)描述了多队列研究的主要动机和在每种情况下常用的分析方法;2)指出在采用这些方法时出现的一些科学和实际挑战;3)概述了生命历程研究中多队列工作的新兴方向。利用它们的潜力,同时仔细考虑多队列方法的局限性,可以为促进整个生命周期的健康和福祉提供强有力的、细致的证据基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Better together: Advancing life course research through multi-cohort analytic approaches

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.

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来源期刊
Advances in Life Course Research
Advances in Life Course Research SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
6.10
自引率
2.90%
发文量
41
期刊介绍: Advances in Life Course Research publishes articles dealing with various aspects of the human life course. Seeing life course research as an essentially interdisciplinary field of study, it invites and welcomes contributions from anthropology, biosocial science, demography, epidemiology and statistics, gerontology, economics, management and organisation science, policy studies, psychology, research methodology and sociology. Original empirical analyses, theoretical contributions, methodological studies and reviews accessible to a broad set of readers are welcome.
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