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利用超市交易数据探索水果和蔬菜购买行为的地域差异。

Exploring the Geographic Variation in Fruit and Vegetable Purchasing Behaviour Using Supermarket Transaction Data.

机构信息

Leeds Institute for Data Analytics, University of Leeds, Leeds LS2 9JT, UK.

School of Geography, University of Leeds, Leeds LS2 9JT, UK.

出版信息

Nutrients. 2021 Dec 30;14(1):177. doi: 10.3390/nu14010177.

DOI:10.3390/nu14010177
PMID:35011053
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8747042/
Abstract

The existence of dietary inequalities is well-known. Dietary behaviours are impacted by the food environment and are thus likely to follow a spatial pattern. Using 12 months of transaction records for around 50,000 'primary' supermarket loyalty card holders, this study explores fruit and vegetable purchasing at the neighbourhood level across the city of Leeds, England. Determinants of small-area-level fruit and vegetable purchasing were identified using multiple linear regression. Results show that fruit and vegetable purchasing is spatially clustered. Areas purchasing fewer fruit and vegetable portions typically had younger residents, were less affluent, and spent less per month with the retailer.

摘要

饮食不平等现象是众所周知的。饮食行为受到食物环境的影响,因此很可能遵循空间模式。本研究使用约 50000 名“主要”超市会员卡持有者 12 个月的交易记录,探索了英格兰利兹市的社区层面的水果和蔬菜购买情况。使用多元线性回归确定了小区域水平水果和蔬菜购买的决定因素。结果表明,水果和蔬菜的购买具有空间集聚性。购买水果和蔬菜份数较少的地区通常居民更年轻、收入较低,并且每月在零售商处的花费也较少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/c6391d632280/nutrients-14-00177-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/347d88b936f1/nutrients-14-00177-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/6237cc8f1f64/nutrients-14-00177-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/a81bfd2de69c/nutrients-14-00177-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/c6391d632280/nutrients-14-00177-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/347d88b936f1/nutrients-14-00177-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/6237cc8f1f64/nutrients-14-00177-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/a81bfd2de69c/nutrients-14-00177-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/8747042/c6391d632280/nutrients-14-00177-g004.jpg

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本文引用的文献

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A systematic review of supermarket automated electronic sales data for population dietary surveillance.超市自动化电子销售数据在人群膳食监测中的系统评价
Nutr Rev. 2022 May 9;80(6):1711-1722. doi: 10.1093/nutrit/nuab089.
2
Do we eat what we buy? Relative validity of grocery purchase data as an indicator of food consumption in the LoCard study.我们是否购买了我们所吃的食物?在 LoCard 研究中,杂货购买数据作为食物消费指标的相对有效性。
Br J Nutr. 2022 Nov 14;128(9):1780-1788. doi: 10.1017/S0007114521004177. Epub 2021 Oct 18.
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Dietary Patterns Derived from UK Supermarket Transaction Data with Nutrient and Socioeconomic Profiles.
源于价格意识和感知收入充足性的食物选择动态:一项使用1年忠诚度卡数据的横断面研究。
Am J Clin Nutr. 2024 May;119(5):1346-1353. doi: 10.1016/j.ajcnut.2024.03.003. Epub 2024 Mar 7.
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Public attitudes towards sharing loyalty card data for academic health research: a qualitative study.公众对学术健康研究共享会员卡数据的态度:一项定性研究。
BMC Med Ethics. 2022 Jun 7;23(1):58. doi: 10.1186/s12910-022-00795-8.
基于英国超市交易数据的饮食模式及其营养和社会经济特征。
Nutrients. 2021 Apr 27;13(5):1481. doi: 10.3390/nu13051481.
4
Is Obesity Policy in England Fit for Purpose? Analysis of Government Strategies and Policies, 1992-2020.英国的肥胖政策是否达到目的?1992-2020 年政府策略与政策分析。
Milbank Q. 2021 Mar;99(1):126-170. doi: 10.1111/1468-0009.12498. Epub 2021 Jan 19.
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