Evidence mapPaperPMID 35092142Full record

ArticleObesity reviews : an official journal of the International Association for the Study of Obesity2022

A systematic scoping review of the literacy literature to develop a digital food and nutrition literacy model for low-income adults to make healthy choices in the online food retail ecosystem to reduce obesity risk.

Katherine Consavage Stanley, Paige B Harrigan, Elena L Serrano, Vivica I Kraak

Open access · hybridAbstract readScoping Review
In one paragraph

Article in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

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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 1 institution in 1 country.

Katherine Consavage StanleyDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-6022-8697
Paige B HarriganDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-6647-9593
Elena L SerranoDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, Virginia, USA.
Vivica I KraakDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0002-9303-5530
Virginia Tech · US

Funding

Robert Wood Johnson Foundation
6 · The paper itself

Abstract

Adults with lower incomes are disproportionately affected by poverty, food insecurity, obesity, and diet-related non-communicable diseases (NCDs). In 2020-2021 amid the coronavirus disease 2019 (COVID-19) pandemic, the United States Department of Agriculture (USDA) expanded the Supplemental Nutrition Assistance Program (SNAP) Online Purchasing Pilot program to enable eligible participants to purchase groceries online in 47 states. This expansion underscores the need for SNAP adults to have digital literacy skills to make healthy dietary choices online. Currently, a digital literacy model does not exist to help guide USDA nutrition assistance policies and programs, such as SNAP. We conducted a systematic scoping review of the academic and gray literature to identify food, nutrition, health, media, financial, and digital literacy models. The search yielded 40 literacy models and frameworks that we analyzed to develop a Multi-dimensional Digital Food and Nutrition Literacy (MDFNL) model with five literacy levels (i.e., functional, interactive, communicative, critical, and translational) and a cross-cutting digital literacy component. Utilization of the MDFNL model within nutrition assistance policies and programs may improve cognitive, behavioral, food security, and health outcomes and support equity, well-being, digital inclusion, and healthy communities to reduce obesity and NCD risks.

Indexed as

COVID-19LiteracyAdultEcosystemFood SupplyHumansObesityPovertySARS-CoV-2United Statesdigital literacyfood and nutrition literacyfood environmentonline food retail

Identifiers

PMID35092142
PMCPMC9286643
OpenAlexW4210567997

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.