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A systematic review of supermarket automated electronic sales data for population dietary surveillance
CONTEXT: Most dietary assessment methods are limited by self-report biases, how long they take for participants to complete, and cost of time for dietitians to extract content. Electronically recorded, supermarket-obtained transactions are an objective measure of food purchases, with reduced bias an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086796/ https://www.ncbi.nlm.nih.gov/pubmed/34757399 http://dx.doi.org/10.1093/nutrit/nuab089 |
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author | Jenneson, Victoria L Pontin, Francesca Greenwood, Darren C Clarke, Graham P Morris, Michelle A |
author_facet | Jenneson, Victoria L Pontin, Francesca Greenwood, Darren C Clarke, Graham P Morris, Michelle A |
author_sort | Jenneson, Victoria L |
collection | PubMed |
description | CONTEXT: Most dietary assessment methods are limited by self-report biases, how long they take for participants to complete, and cost of time for dietitians to extract content. Electronically recorded, supermarket-obtained transactions are an objective measure of food purchases, with reduced bias and improved timeliness and scale. OBJECTIVE: The use, breadth, context, and utility of electronic purchase records for dietary research is assessed and discussed in this systematic review. DATA SOURCES: Four electronic databases (MEDLINE, EMBASE, PsycINFO, Global Health) were searched. Included studies used electronically recorded supermarket transactions to investigate the diet of healthy, free-living adults. DATA EXTRACTION: Searches identified 3422 articles, of which 145 full texts were retrieved and 72 met inclusion criteria. Study quality was assessed using the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. DATA ANALYSIS: Purchase records were used in observational studies, policy evaluations, and experimental designs. Nutrition outcomes included dietary patterns, nutrients, and food category sales. Transactions were linked to nutrient data from retailers, commercial data sources, and national food composition databases. CONCLUSION: Electronic sales data have the potential to transform dietary assessment and worldwide understanding of dietary behavior. Validation studies are warranted to understand limits to agreement and extrapolation to individual-level diets. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42018103470 |
format | Online Article Text |
id | pubmed-9086796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90867962022-05-11 A systematic review of supermarket automated electronic sales data for population dietary surveillance Jenneson, Victoria L Pontin, Francesca Greenwood, Darren C Clarke, Graham P Morris, Michelle A Nutr Rev Special Articles CONTEXT: Most dietary assessment methods are limited by self-report biases, how long they take for participants to complete, and cost of time for dietitians to extract content. Electronically recorded, supermarket-obtained transactions are an objective measure of food purchases, with reduced bias and improved timeliness and scale. OBJECTIVE: The use, breadth, context, and utility of electronic purchase records for dietary research is assessed and discussed in this systematic review. DATA SOURCES: Four electronic databases (MEDLINE, EMBASE, PsycINFO, Global Health) were searched. Included studies used electronically recorded supermarket transactions to investigate the diet of healthy, free-living adults. DATA EXTRACTION: Searches identified 3422 articles, of which 145 full texts were retrieved and 72 met inclusion criteria. Study quality was assessed using the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. DATA ANALYSIS: Purchase records were used in observational studies, policy evaluations, and experimental designs. Nutrition outcomes included dietary patterns, nutrients, and food category sales. Transactions were linked to nutrient data from retailers, commercial data sources, and national food composition databases. CONCLUSION: Electronic sales data have the potential to transform dietary assessment and worldwide understanding of dietary behavior. Validation studies are warranted to understand limits to agreement and extrapolation to individual-level diets. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42018103470 Oxford University Press 2022-05-05 /pmc/articles/PMC9086796/ /pubmed/34757399 http://dx.doi.org/10.1093/nutrit/nuab089 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the International Life Sciences Institute. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Articles Jenneson, Victoria L Pontin, Francesca Greenwood, Darren C Clarke, Graham P Morris, Michelle A A systematic review of supermarket automated electronic sales data for population dietary surveillance |
title |
A systematic review of supermarket automated electronic sales data for population dietary surveillance |
title_full |
A systematic review of supermarket automated electronic sales data for population dietary surveillance |
title_fullStr |
A systematic review of supermarket automated electronic sales data for population dietary surveillance |
title_full_unstemmed |
A systematic review of supermarket automated electronic sales data for population dietary surveillance |
title_short |
A systematic review of supermarket automated electronic sales data for population dietary surveillance |
title_sort | systematic review of supermarket automated electronic sales data for population dietary surveillance |
topic | Special Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086796/ https://www.ncbi.nlm.nih.gov/pubmed/34757399 http://dx.doi.org/10.1093/nutrit/nuab089 |
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