Evidence map›Paper›PMID 29555187›Full record

ArticlePreventive medicine2018

Where do U.S. households purchase healthy foods? An analysis of food-at-home purchases across different types of retailers in a nationally representative dataset.

Benjamin W Chrisinger, Michael J Kallan, Eliza D Whiteman, Amy Hillier

Abstract read
In one paragraph

Article in Preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Changes in the Retail Food Environment in Mexican Cities and Their Association with Blood Pressure Outcomes.International journal of environmental research and public health · 2022
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  13. Food Acquisition Practices, Body Mass Index, and Dietary Outcomes by Level of Rurality.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
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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.

Benjamin W ChrisingerStanford Prevention Research Center, School of Medicine, Stanford University, USA. Electronic address: chrisinger@stanford.edu.
Michael J KallanCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, USA.
Eliza D WhitemanDepartment of City & Regional Planning, School of Design, University of Pennsylvania, USA.
Amy HillierDepartment of City & Regional Planning, School of Design, University of Pennsylvania, USA; School of Social Policy and Practice, University of Pennsylvania, USA.

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
NHLBI NIH HHS T32 HL007034
6 · The paper itself

Abstract

Food shopping decisions are pathways between food environment, diet and health outcomes, including chronic diseases such as diabetes and obesity. The choices of where to shop and what to buy are interrelated, though a better understanding of this dynamic is needed. The U.S. Department of Agriculture's nationally representative Food Acquisitions and Purchase Survey food-at-home dataset was joined with other databases of retailer characteristics and Healthy Eating Index-2010 (HEI) of purchases. We used linear regression models with general estimating equations to assess relationships between trip, store, and shopper characteristics with trip HEI scores. We examined HEI component scores for conventional supermarkets and discount/limited assortment retailers with descriptive statistics. Overall, 4962 shoppers made 11,472 shopping trips over one-week periods, 2012-2013. Trips to conventional supermarkets were the most common (53.6%), followed by supercenters (18.6%). Compared to conventional supermarkets, purchases at natural/gourmet stores had significantly higher HEI scores (β = 6.48, 95% CI = [4.45, 8.51], while those from "other" retailers (including corner and convenience stores) were significantly lower (-3.89, [-5.87, -1.92]). Older participants (versus younger) and women (versus men) made significantly healthier purchases (1.19, [0.29, 2.10]). Shoppers with less than some college education made significantly less-healthy purchases, versus shoppers with more education, as did households participating in SNAP, versus those with incomes above 185% of the Federal Poverty Level. Individual, trip, and store characteristics influenced the healthfulness of foods purchased. Interventions to encourage healthy purchasing should reflect these dynamics in terms of how, where, and for whom they are implemented.

Indexed as

Consumer BehaviorFamily CharacteristicsAdultChoice BehaviorCommerceDatabases, FactualDiet, HealthyFemaleFood SupplyHumansMaleMiddle AgedResidence CharacteristicsSocioeconomic FactorsUnited StatesDietFood accessFoodAPSFood choiceFood environmentFood shoppingNutritionSNAPStore choice

Identifiers

PMID29555187
PMCPMC5970989

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Registered trials

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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.