Evidence map›Paper›PMID 36348423›Full record

ArticleNutrition journal2022

Longitudinal trends in produce purchasing behavior: a descriptive study of transaction level data from loyalty card households.

Isabel Diana Fernandez, Brent A Johnson, Nellie Wixom, Amber Kautz, Joanne Janciuras, Steve Prevost, Jiebo Luo, Rajeev S Ramchandran

Abstract read
In one paragraph

Article in Nutrition journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

8 authors.

Isabel Diana FernandezDepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA. diana_fernandez@urmc.rochester.edu.ORCID 0000-0003-4497-0802
Brent A JohnsonDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Nellie WixomSchool of Nursing, University of Rochester Medical Center, Rochester, NY, USA.
Amber KautzDepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Joanne JanciurasDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Steve PrevostCustomer Insights, Grocery Store Collaborator, Rochester, NY, USA.
Jiebo LuoDepartment of Computer Science, University of Rochester, Rochester, NY, USA.
Rajeev S RamchandranDepartment of Ophthalmology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHousehold food purchases (HFP) are in the pathway between the community food environment and the foods available in households for consumption. As such, HFP data have emerged as alternatives to monitor population dietary trends over-time. In this paper, we investigate the use of loyalty card datasets as unexplored sources of continuously collected HFP data to describe temporal trends in household produce purchases.

methodsWe partnered with a grocery store chain to obtain a loyalty card database with grocery transactions by household from January 2016-October 2018. We included households in an urban county with complete observations for head of household age group, household income group, and family size. Data were summarized as weighted averages (95% CI) of percent produce purchased out of all foods purchased by household per month. We modeled seasonal and linear trends in the proportion of produce purchases by age group and income while accounting for repeated observations per household using generalized estimating equations.

resultsThere are 290,098 households in the database (88% of all county households). At baseline, the smallest and largest percent produce purchases are observed among the youngest and lowest income (12.2%, CI 11.1; 13.3) and the oldest and highest income households (19.3, CI 18.9; 19.6); respectively. The seasonal variations are consistent in all age and income groups with an April-June peak gradually descending until December. However, the average linear change in percent produce purchased per household per year varies by age and income being the steepest among the youngest households at each income level (from 1.42%, CI 0.98;1.8 to 0.69%, CI 0.42;0.95) while the oldest households experience almost no annual change.

conclusionsWe explored the potential of a collaboration with a food retailer to use continuously collected loyalty card data for public health nutrition purposes. Our findings suggest a trend towards a healthier pattern in long-term food purchases and household food availability among the youngest households that may lessen the population chronic disease burden if sustained. Understanding the foods available for consumption within households allows public health advocates to develop and evaluate policies and programs promoting foods and nutrients along the life course.

Indexed as

Consumer BehaviorFamily CharacteristicsDietFood PreferencesHumansIncomeDietDiet monitoringFood purchasesGrocery storesLoyalty cardProduce purchasesPurchasing behavior

Identifiers

PMID36348423
PMCPMC9644457

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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.