Evidence map›Paper›PMID 42830936›Full record

ArticleCurrent developments in nutrition2026

Evaluation of a Digital Food and Nutrition Literacy Survey to Support Improvements in Diet Quality.

Daniela C Avelino, Ock K Chun, Michael J Puglisi, Ran Xu, Valerie B Duffy

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Article in Current developments in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Daniela C AvelinoDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.
Ock K ChunDepartment of Nutritional Sciences, University of Connecticut, Storrs, CT, United States.
Michael J PuglisiDepartment of Nutritional Sciences, University of Connecticut, Storrs, CT, United States.
Ran XuDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.
Valerie B DuffyDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Using digital tools to support healthy food choices and access may counteract the negative effects of living in underresourced communities on diet quality. Objectives: This study aims to develop and evaluate the psychometric properties of a Digital Food and Nutrition Literacy (DFNL) survey and its association with diet quality for informing future tailored interventions to improve diet quality. Methods: The DFNL survey was theory-informed by the Information-Motivation-Behavioral Skills model and a multidimensional model for making healthy food choices online. In this cross-sectional study, 196 adults from a low-income, low-food access community in Northeast Connecticut completed an online survey. Principal component analysis was used to identify a DFNL index and components for multivariable linear regression analyses with diet quality, an external variable theoretically expected to be associated with DFNL. Diet quality was assessed using the Short Healthy Eating Index and liking-based Diet Quality Index. Results: The 10-item DFNL index was internally reliable and explained 53.8% of total variance through 3 interpretable components-online grocery shopping, online nutrition information, and online communication. Associations between DFNL and diet quality varied by DFNL component and diet quality measure; the strongest associations were observed for online nutrition information and online grocery shopping components, particularly with adequacy scores of both diet quality measures. Conclusions: These preliminary findings support the construct validity of the DFNL index. Assessing DFNL may help identify modifiable behavioral skills in community nutrition interventions that can be tailored to participants' knowledge gaps and motivation to support diet quality in underresourced populations.

Indexed as

diet qualitydigital literacyfood and nutrition literacylow-income adultsonline grocery shopping

Identifiers

PMID42830936
PMCPMC13634112

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