A protocol for linking participants' retailer 'loyalty card' records into the Avon Longitudinal Study of Parents and Children (ALSPAC).

Q1 Medicine
Wellcome Open Research Pub Date : 2024-11-08 eCollection Date: 2023-01-01 DOI:10.12688/wellcomeopenres.18900.1
Anya Skatova, Andy Boyd
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引用次数: 0

Abstract

Longitudinal population studies (LPS) have a long history of providing insights into how individual consumption patterns and other lifestyle choices affect health and socio-economic outcomes. LPS typically operate as research databanks, integrating rich and deep phenotypic data - covering diverse aspects of individual, family and household status - with genomic data and linked records on health and socio-economic outcomes. However, individual consumption and behavioural choices are traditionally studied solely using self-report methods which are prone to known biases. We propose to enrich LPS databanks with a new form of digital footprint data - individual shopping history records. These are collected by supermarkets through "loyalty" card schemes and can provide a new perspective on real world behaviours and history of consumption. However, as a novel class of data in the context of longitudinal research, our ability to assess the quality and completeness of the data is unknown, as is our ability to effectively triangulate between self-reported and linked data. This paper describes a protocol for linking individual level shopping history data into a LPS using Avon Longitudinal Study of Parents and Children (ALSPAC) as a testbed. The protocol covers the process of establishing participant fair processing, an ethical and legal basis for the linkage framework itself, and how these data will be integrated into the ALSPAC databank. It does not cover the subsequent research use of these data. The protocol was built on an extensive participant engagement and acceptability work and has been approved by the ALSPAC Law and Ethics committee.

将参与者的零售商 "会员卡 "记录与雅芳父母与子女纵向研究 (ALSPAC) 联系起来的协议。
纵向人口研究(LPS)在深入了解个人消费模式和其他生活方式选择如何影响健康和社会经济成果方面有着悠久的历史。纵向人口研究通常作为研究数据库运行,将丰富而深入的表型数据(涵盖个人、家庭和住户状况的各个方面)与基因组数据以及有关健康和社会经济结果的关联记录整合在一起。然而,传统上对个人消费和行为选择的研究仅采用自我报告的方法,容易产生已知的偏差。我们建议利用新形式的数字足迹数据--个人购物历史记录--来丰富 LPS 数据库。这些数据由超市通过 "忠诚 "卡计划收集,可为现实世界的行为和消费历史提供新的视角。然而,作为纵向研究背景下的一类新型数据,我们对数据质量和完整性的评估能力以及对自我报告数据和链接数据进行有效三角测量的能力都是未知的。本文以雅芳父母与子女纵向研究(ALSPAC)为试验平台,介绍了将个人购物历史数据链接到 LPS 的方案。该协议包括建立参与者公平处理程序、链接框架本身的伦理和法律依据,以及如何将这些数据整合到 ALSPAC 数据库中。它不包括这些数据的后续研究使用。该协议建立在广泛的参与者参与和可接受性工作的基础上,并已获得 ALSPAC 法律和伦理委员会的批准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Wellcome Open Research
Wellcome Open Research Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.50
自引率
0.00%
发文量
426
审稿时长
1 weeks
期刊介绍: Wellcome Open Research publishes scholarly articles reporting any basic scientific, translational and clinical research that has been funded (or co-funded) by Wellcome. Each publication must have at least one author who has been, or still is, a recipient of a Wellcome grant. Articles must be original (not duplications). All research, including clinical trials, systematic reviews, software tools, method articles, and many others, is welcome and will be published irrespective of the perceived level of interest or novelty; confirmatory and negative results, as well as null studies are all suitable. See the full list of article types here. All articles are published using a fully transparent, author-driven model: the authors are solely responsible for the content of their article. Invited peer review takes place openly after publication, and the authors play a crucial role in ensuring that the article is peer-reviewed by independent experts in a timely manner. Articles that pass peer review will be indexed in PubMed and elsewhere. Wellcome Open Research is an Open Research platform: all articles are published open access; the publishing and peer-review processes are fully transparent; and authors are asked to include detailed descriptions of methods and to provide full and easy access to source data underlying the results to improve reproducibility.
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