Evidence map›Paper›PMID 40946241›Full record

ArticleJournal of nutrition education and behavior2025

Exploring Facilitators and Barriers for Personalized Dietary Incentives Among Online Shoppers at Cardiovascular Risk and Key Informants to Inform an Automated Shopping Platform.

Maya K Vadiveloo, Alison Tovar, Emily G Elenio, Carsten Eickhoff, John San Soucie, Sarah Feldstein Ewing, Kim M Gans, Anne N Thorndike

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nutrition education and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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.

Maya K VadivelooDepartment of Nutrition, University of Rhode Island, Kingston, RI. Electronic address: maya_vadiveloo@uri.edi.
Alison TovarDepartment of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI.
Emily G ElenioDepartment of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI.
Carsten EickhoffDepartment of Medical Data Science, University of Tübingen, Tübingen, Germany.
John San SoucieDepartment of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, MA.
Sarah Feldstein EwingDepartment of Psychiatry, University of Connecticut, Storrs, CT.
Kim M GansDepartment of Human Development and Family Sciences, University of Connecticut, Storrs, CT.
Anne N ThorndikeDivision of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, MA.

Funding

Development of personalized healthy food incentives to improve diet and cardiovascular riskK01HL165104 · NHLBI · UNIVERSITY OF RHODE ISLAND · PI MAYA VADIVELOO · 2023 to 2026
$689k
Mentorship in patient-oriented research on behavioral and social determinants of cardiometabolic healthK24HL163073 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Anne N Thorndike · 2023 to 2026
$504k
NHLBI NIH HHS K01 HL165104NHLBI NIH HHS K24 HL163073
6 · The paper itself

Abstract

objectiveTo identify preferences, facilitators, and barriers to healthy eating and using a personalized diet application (Smart Cart 2.0) for online grocery shopping.

methodsConvergent, parallel multimethods study among shoppers (aged > 18 years, grocery shopped online with obesity [body mass index, 30 kg/m

resultsThe most common barriers (25%) were money and time, while health motivated most food purchases (55%). Four themes emerged from interviews: (1) consuming healthy foods was hard, (2) healthy meal planning would be easier with a one-stop shopping tool, (3) the application addressed shoppers' needs, and (4) some additions could promote application sustainability. CONCLUSIONS AND IMPLICATIONS: Smart Cart 2.0 addressed healthy eating barriers. Integrating feedback will enhance application design for future evaluation.

Indexed as

Cardiovascular DiseasesConsumer BehaviorDiet, HealthyHealth PromotionMotivationAdultFemaleHumansInternetMaleMiddle AgedYoung Adultdiet appsfood is medicinegrocery incentivesmixed methodsonline shopping

Identifiers

PMID40946241
PMCPMC12794405

What OpenQuestion holds

Textmetadata
LicenceTDM
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.