Evidence map›Paper›PMID 41450505›Full record

ArticleFrontiers in public health2025

Digital literacy, ecological values, and green food consumption: an extended Theory of Planned Behavior model in Chinese universities.

Jiaxin He, Ke Liu, Zhenhui Ma, Zhiyu He

Abstract read
In one paragraph

Article in Frontiers in public health, 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

4 authors.

Jiaxin HeSchool of International Business School, Shaanxi Normal University, Xi'an, Shaanxi, China.
Ke LiuSchool of International Business School, Shaanxi Normal University, Xi'an, Shaanxi, China.
Zhenhui MaSchool of Journalism and Communication, Xi'an International Studies University, Xi'an, Shaanxi, China.
Zhiyu HeSchool of Physical Education, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Given the importance of green food consumption for public health and sustainability, understanding its drivers among university students is crucial for effective health promotion. This study investigates how digital literacy and ecological values shape green food consumption within an extended Theory of Planned Behavior (TPB) framework. Methods: We collected survey data from 836 Chinese university students. An expanded TPB model, which included digital literacy and ecological values, was developed and tested using structural equation modeling to examine their effects on consumption intentions and behaviors. Results: The model yielded three main findings. First, digital literacy was directly associated with purchase intention ( Discussion: Our findings confirm that integrating digital literacy and ecological values into the TPB provides a more robust model for explaining green food consumption. Digital literacy serves as essential cognitive capital, while ecological values are foundational. The decoupling of digital literacy from subjective norms points to evolving social influence mechanisms in digital environments. This research offers practical insights for interventions and a strong theoretical foundation for future studies on sustainable dietary behaviors.

Indexed as

Feeding BehaviorStudentsAdolescentAdultChinaFemaleHumansIntentionMaleSurveys and QuestionnairesTheory of Planned BehaviorUniversitiesYoung Adultdigital literacyecological valuesextended TPBgreen consumptionhealth promotionpublic health nutritionuniversity students

Identifiers

PMID41450505
PMCPMC12727889

What OpenQuestion holds

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LicenceCC BY
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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.