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健康研究中的大规模忠诚卡数据。

Large-scale loyalty card data in health research.

作者信息

Nevalainen Jaakko, Erkkola Maijaliisa, Saarijärvi Hannu, Näppilä Turkka, Fogelholm Mikael

机构信息

Health Sciences/Faculty of Social Sciences, University of Tampere, Tampere, Finland.

Department of Food and Nutrition, University of Helsinki, Helsinki, Finland.

出版信息

Digit Health. 2018 Nov 29;4:2055207618816898. doi: 10.1177/2055207618816898. eCollection 2018 Jan-Dec.


DOI:10.1177/2055207618816898
PMID:30546912
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6287323/
Abstract

OBJECTIVE: To study the characteristics of large-scale loyalty card data obtained in Finland, and to evaluate their potential and challenges in health research. METHODS: We contacted the holders of a certain loyalty card living in a specific region in Finland via email, and requested their electronic informed consent to obtain their basic background characteristics and grocery expenditure data from 2016 for health research purposes. Non-participation and the characteristics and expenditure of the participants were mainly analysed using summary statistics and figures. RESULTS: The data on expenditure came from 14,595 (5.6% of those contacted) consenting loyalty card holders. A total of 68.5% of the participants were women, with an average age of 46 years. Women and residents of Helsinki were more likely to participate. Both young and old participants were underrepresented in the sample. We observed that annual expenditure represented roughly two-thirds of the nationally estimated annual averages. Customers and personnel differed in their characteristics and expenditure, but not so much in their most frequently bought items. CONCLUSIONS: Loyalty card data from a major retailer enabled us to reach a large, heterogeneous sample with fewer resources than conventional surveys of the same magnitude. The potential of the data was great because of their size, coverage, objectivity, and long periods of dynamic data collection, which enables timely investigations. The challenges included bias due to non-participation, purchases in other stores, the level of detail in product grouping, and the knowledge gaps in what is being consumed and by whom. Loyalty card data are an underutilised resource in research, and could be used not only in retailers' activities, but also for societal benefit.

摘要

目的:研究在芬兰获取的大规模忠诚卡数据的特征,并评估其在健康研究中的潜力和挑战。 方法:我们通过电子邮件联系了居住在芬兰特定地区的某张忠诚卡持有者,请求他们以电子方式知情同意,以便获取其基本背景特征和2016年的食品杂货支出数据用于健康研究目的。主要使用汇总统计数据和图表分析未参与者以及参与者的特征和支出情况。 结果:支出数据来自14595名(占所联系人数的5.6%)同意参与的忠诚卡持有者。共有68.5%的参与者为女性,平均年龄为46岁。女性和赫尔辛基居民更有可能参与。样本中年轻和老年参与者的比例均偏低。我们观察到年度支出大致占全国估计年度平均水平的三分之二。顾客和员工在特征和支出方面存在差异,但在最常购买的商品方面差异不大。 结论:来自一家大型零售商的忠诚卡数据使我们能够以比同等规模的传统调查更少的资源获得一个规模大且异质性强的样本。这些数据的潜力巨大,因为其规模、覆盖范围、客观性以及长期的动态数据收集,这使得能够及时进行调查。挑战包括因未参与、在其他商店购物、产品分组的详细程度以及关于所消费商品及其消费者的知识差距而导致的偏差。忠诚卡数据是研究中未得到充分利用的资源,不仅可用于零售商的活动,还能造福社会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11cf/6287323/21f227f61d89/10.1177_2055207618816898-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11cf/6287323/cfba48b4b768/10.1177_2055207618816898-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11cf/6287323/1de8b4b53180/10.1177_2055207618816898-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11cf/6287323/21f227f61d89/10.1177_2055207618816898-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11cf/6287323/cfba48b4b768/10.1177_2055207618816898-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11cf/6287323/1de8b4b53180/10.1177_2055207618816898-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11cf/6287323/21f227f61d89/10.1177_2055207618816898-fig3.jpg

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本文引用的文献

[1]
Differences in participation rates between urban and rural areas are diminishing in Finland.

Scand J Public Health. 2018-1-6

[2]
The consequences of unemployment on diet composition and purchase behaviour: a longitudinal study from Denmark.

Public Health Nutr. 2017-11-8

[3]
Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology.

BMC Med Res Methodol. 2017-9-19

[4]
Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference.

J Infect Dis. 2016-12-1

[5]
Kids'Cam: An Objective Methodology to Study the World in Which Children Live.

Am J Prev Med. 2017-4-25

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Biometrics. 2017-12

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Ethical challenges of big data in public health.

PLoS Comput Biol. 2015-2-9

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Underreporting in alcohol surveys: whose drinking is underestimated?

J Stud Alcohol Drugs. 2015-1

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The collectivity of changes in alcohol consumption revisited.

Addiction. 2014-9

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Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology.

Int J Epidemiol. 2012-8

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