Suppr超能文献

采用 Harmonized Cognitive Assessment Protocol (HCAP) 数据进行的老年认知功能跨国比较:考虑因素和建议的最佳实践。

Cross-national comparisons of later-life cognitive function using data from the Harmonized Cognitive Assessment Protocol (HCAP): Considerations and recommended best practices.

机构信息

Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.

Survey Research Center, University of Michigan Institute for Social Research, Ann Arbor, Michigan, USA.

出版信息

Alzheimers Dement. 2024 Mar;20(3):2273-2281. doi: 10.1002/alz.13694. Epub 2024 Jan 29.

Abstract

The Harmonized Cognitive Assessment Protocol (HCAP) is a major innovation that provides, for the first time, harmonized data for cross-national comparisons of later-life cognitive functions that are sensitive to linguistic, cultural, and educational differences across countries. However, cognitive function does not lend itself to direct comparison across diverse populations without careful consideration of the best practices for such comparisons. This perspective discusses theoretical and methodological considerations and offers a set of recommended best practices for conducting cross-national comparisons of risk factor associations using HCAP data. Because existing and planned HCAP studies provide cognition data representing an estimated 75% of the global population ≥65 years of age, these recommended best practices will support high-quality comparative analyses of cognitive aging around the world. The principles described in this perspective are applicable to any researcher aiming to integrate or compare harmonized data on cognitive outcomes and their risk and protective factors across diverse populations.

摘要

协调认知评估协议 (HCAP) 是一项重大创新,它首次为跨越国家的老年认知功能数据提供了协调,这些数据对语言、文化和教育方面的差异具有敏感性。然而,如果不仔细考虑进行此类比较的最佳实践,就无法在不同人群中直接比较认知功能。本观点讨论了理论和方法上的考虑因素,并为使用 HCAP 数据进行跨国风险因素关联的比较提供了一套建议的最佳实践。由于现有的和计划中的 HCAP 研究提供了代表全球估计 75%的≥65 岁人群的认知数据,因此这些建议的最佳实践将支持全球范围内进行高质量的认知老化比较分析。本观点中描述的原则适用于任何旨在整合或比较不同人群中认知结果及其风险和保护因素的协调数据的研究人员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec9/10984496/2f9deb2d265a/ALZ-20-2273-g002.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验