Evidence map›Paper›PMID 40218891›Full record

ArticleNutrients2025

From Screen to Plate: How Instagram Cooking Videos Promote Healthy Eating Behaviours in Established Adulthood.

Yen-Cheng Chen, Ching-Sung Lee, Ming-Chen Chiang, Pei-Ling Tsui

Abstract read
In one paragraph

Article in Nutrients, 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.

Yen-Cheng ChenDepartment of Applied Science of Living, Chinese Culture University, Taipei 11114, Taiwan.ORCID 0000-0001-8120-8687
Ching-Sung LeeDepartment of Restaurant, Hotel and Institutional Management, Fu Jen Catholic University, New Taipei City 242062, Taiwan.ORCID 0000-0002-4394-4242
Ming-Chen ChiangPh. D. Program in Nutrition and Food Science, College of Human Ecology, Fu Jen Catholic University, New Taipei City 242062, Taiwan.ORCID 0000-0001-7222-1134
Pei-Ling TsuiDepartment of Hospitality Management, National Taitung Junior College, Taitung 95045, Taiwan.

Funding

National Science and Technology Council 113-2410-H-034 -013 -
6 · The paper itself

Abstract

backgroundSocial media platforms increasingly influence dietary behaviours, with cooking videos emerging as a key tool for promoting healthy eating. However, limited research has examined how such digital content affects adults in established adulthood.

objectiveThis study investigates the relationships among cooking behaviour, engagement with healthy cooking videos on Instagram, and healthy eating behaviours among Taiwanese adults aged 30 to 45.

methodsA cross-sectional online survey collected valid responses from 488 participants (effective response rate = 81.3%) who regularly cook and engage with food-related content on Instagram. Structural equation modelling (SEM) was used to test hypothesised relationships.

resultsCooking behaviour was positively associated with engagement in healthy cooking multimedia (β = 0.262,

conclusionsEngagement with healthy cooking videos enhances healthy eating practices among adults in established adulthood. These findings highlight Instagram's potential as a digital health promotion tool and support the integration of culinary media into public nutrition strategies.

Indexed as

CookingDiet, HealthyFeeding BehaviorHealth BehaviorHealth PromotionSocial MediaVideo RecordingAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTaiwancooking videosdietary behaviourestablished adulthoodhealthy eating behavioursInstagramnutrition promotionpublic healthsocial media

Identifiers

PMID40218891
PMCPMC11990124

What OpenQuestion holds

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LicenceCC BY
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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.