Evidence map›Paper›PMID 33923246›Full record

ArticleInternational journal of environmental research and public health2021

A Standardized Guide to Developing an Online Grocery Store for Testing Nutrition-Related Policies and Interventions in an Online Setting.

Pasquale E Rummo, Isabella Higgins, Christina Chauvenet, Annamaria Vesely, Lindsay M Jaacks, Lindsey Taillie

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Effects of red meat taxes and warning labels on food groups selected in a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Pasquale E RummoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA.
Isabella HigginsCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-0241-2378
Christina ChauvenetPrevention Research Center, University of South Carolina, Columbia, SC 29208, USA.
Annamaria VeselyCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-2910-528X
Lindsay M JaacksGlobal Academy of Agriculture and Food Security, University of Edinburgh, Midlothian EH25 9RG, UK.ORCID 0000-0002-7791-5167
Lindsey TaillieCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
University of North Carolina at Chapel Hill · USNew York University · USUniversity of Edinburgh · GBUniversity of South Carolina · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Impact of Online Ordering on Low-Income Adults’ Food Security in Online Food Pantry SettingsK01AG064146 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUMMO, PASQUALE · 2020 to 2024
$677k
National Institute of Aging of the National Institutes of Health 1K01AG064146-01NIA NIH HHS K01 AG064146NICHD NIH HHS P2C HD050924Wellcome Trust 16042/Z/19/Z
6 · The paper itself

Abstract

Simulated online grocery store platforms are innovative tools for studying nutrition-related policies and point-of-selection/point-of-purchase interventions in online retail settings, yet there is no clear guidance on how to develop these platforms for experimental research. Thus, we created a standardized guide for the development of an online grocery store, including a detailed description of (1) methods for acquiring and cleaning online grocery store data, and (2) how to design a two-dimensional online grocery store experimental platform. We provide guidance on how to address product categorization, product order/sorting and product details, including how to identify outliers and conflicting nutritional information and methods for standardizing prices. We also provide details regarding our process of "tagging" food items that can be leveraged by future studies examining policies and point-of-selection/point-of-purchase interventions targeting red and processed meat and fruits and vegetables. We experienced several challenges, including obtaining accurate and up-to-date product information and images, and accounting for the presence of store-brand products. Regardless, the methodology described herein will enable researchers to examine the effects of a wide array of nutrition-related policies and interventions on food purchasing behaviors in online retail settings, and can be used as a template for reporting procedures in future research.

Indexed as

Food MarketsNutrition PolicyCommerceFood SupplyFruitMarketingVegetablesexperimental designfood labelsfood marketing and promotionfood policyfruits and vegetablesred meatsustainable diet

Identifiers

PMID33923246
PMCPMC8123213
OpenAlexW3158781749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.