Evidence map›Paper›PMID 28953221›Full record

ArticleInternational journal of environmental research and public health2017

Discrete Choice Model of Food Store Trips Using National Household Food Acquisition and Purchase Survey (FoodAPS).

Amy Hillier, Tony E Smith, Eliza D Whiteman, Benjamin W Chrisinger

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

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  9. Delay discounting and household food purchasing decisions: The SHoPPER study.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Article
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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

4 authors at 3 institutions in 1 country.

Amy HillierSchool of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA 19104, USA. ahillier@upenn.edu.
Tony E SmithDepartment of Electrical and Systems Engineering, School of Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA. tesmith@seas.upenn.edu.
Eliza D WhitemanDepartment of City and Regional Planning, School of Design, University of Pennsylvania, Philadelphia, PA 19104, USA. elizadw@design.upenn.edu.
Benjamin W ChrisingerStanford Prevention Research Center, School of Medicine, Stanford University, Stanford, CA 94305, USA. chrisinger@stanford.edu.ORCID 0000-0002-1480-6481
University of Pennsylvania · USStanford University · USUniversity City Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Where households across income levels shop for food is of central concern within a growing body of research focused on where people live relative to where they shop, what they purchase and eat, and how those choices influence the risk of obesity and chronic disease. We analyzed data from the National Household Food Acquisition and Purchase Survey (FoodAPS) using a conditional logit model to determine where participants shop for food to be prepared and eaten at home and how individual and household characteristics of food shoppers interact with store characteristics and distance from home in determining store choice. Store size, whether or not it was a full-service supermarket, and the driving distance from home to the store constituted the three significant main effects on store choice. Overall, participants were more likely to choose larger stores, conventional supermarkets rather than super-centers and other types of stores, and stores closer to home. Interaction effects show that participants receiving Supplemental Nutrition Assistance Program (SNAP) were even more likely to choose larger stores. Hispanic participants were more likely than non-Hispanics to choose full-service supermarkets while White participants were more likely to travel further than non-Whites. This study demonstrates the value of explicitly spatial discrete choice models and provides evidence of national trends consistent with previous smaller, local studies.

Indexed as

Choice BehaviorFood PreferencesAdultCommerceData CollectionFemaleFood SupplyHumansLogistic ModelsResidence CharacteristicsSocioeconomic Factorsdiscrete choiceFoodAPSfood retailfood shoppingsupermarkets

Identifiers

PMID28953221
PMCPMC5664634
OpenAlexW2756825934

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.