ArticleNutrition research and practice2025
How food literacy levels shape healthy eating intentions: a cross-sectional study of adults in Shandong Province, China, using the theory of planned behavior.
Article in Nutrition research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Investigating Oral Health Information Avoidance Among Chinese Young Adults: The Roles of Subjective Norms, Message Fatigue, and Loss Aversion-A Cross-Sectional Study.Behavioral sciences (Basel, Switzerland) · 2026Article
- Article
- Psychosocial factors related to the stages of change in reducing sugar intake among adults in Seoul, Korea: a cross-sectional study.Korean journal of community nutrition · 2026Article
- Influence of food literacy on short- and long-term healthy eating intentions among adolescent and adult convenience store users: An application of the extended theory of planned behavior.Nutrition research and practice · 2025Article
- The Impact of Chinese Adult's Food Literacy on Healthy Eating Intentions Based on the Planned Behaviour Theory.Nutrients · 2025Article
- [Effects of primary caregivers' food literacy, social support, food environment, and household income on the nutritional status of school-aged children: a cross-sectional study].Korean journal of community nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesDietary choices play a crucial role in individual health, with food literacy being a key factor influencing these choices. Therefore, this study examined the relationship between food literacy and healthy eating intentions among adults in Shandong Province, China. SUBJECTS/
methodsCross-sectional data were collected from 492 adults in Shandong Province, China, between October 2023 and January 2024, using a validated questionnaire that incorporated constructs from the theory of planned behavior (TPB) and food literacy (FL). The FL levels were categorized using the original 4-level classification, and multiple linear regression analyses were conducted, controlling for confounders to examine the associations across these levels.
resultsThe scores for the behavioral intentions varied according to sociodemographic factors, such as education levels and physical activity. As the FL levels increased, the scores on all TPB constructs increased significantly, consistently, and linearly (all,
conclusionIndividuals with lower FL levels were likelier to have their behavioral intentions influenced by others. In contrast, those with higher FL levels tended to hold more positive attitudes toward the benefits of healthy eating and showed greater willingness to seek detailed dietary information. These findings underscore the importance of developing targeted interventions to enhance FL and promote healthy eating intentions among adults in Shandong Province.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.