Evidence map›Paper›PMID 40498768›Full record

ArticleHealth promotion international2025

From plate to post: exploring representations of #familymeals through a content analysis of Instagram.

Eloise-Kate Litterbach, Emily Denniss, Georgia Middleton

Abstract read
In one paragraph

Article in Health promotion international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Eloise-Kate LitterbachAustralian Centre for Behavioural Research in Diabetes, Suite G01, 15-31 Pelham Street, Carlton, Victoria 3053, Australia.
Emily DennissSchool of Exercise and Nutrition Sciences, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125, Australia.ORCID 0000-0002-9631-050X
Georgia MiddletonCollege of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Tarntanya, Adelaide, South Australia 5042, Australia.ORCID 0000-0003-2456-9122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family meals are a popular topic on social media, where people regularly source and share food and nutrition information. However, no research has explored what family meal content is being shared on social media. This study employed a mixed-methods content analysis approach to explore how family meals are portrayed on Instagram. Four hashtags were identified through systematic screening: #familymeals, #familybreakfast, #familylunch, and #familydinner. All post details (video/image, caption, engagement, and account) were collected from the top 15 posts from each hashtag weekly for 14 weeks (February-May 2024). Data were analyzed using a coding framework in REDCap. A total of 564 posts from 359 unique accounts were included. Most account holders were women (86.3%). Recipe developers were the most common account type (38.4%). Most posts depicted food/drink (92.9%), predominantly plated meals (86.6%) and core foods (76.7%), and appeared staged (64.7%). Many captions included meal ideas (70.6%) linking out to or providing recipes (40% and 38.4%) and were described as "quick" or "easy" (38.9%). Differences in post and caption content across hashtags indicated perceptions of what family meals should look like depending on time of day, e.g. home-cooked meal at dinner, discretionary food at breakfast, family bonding at lunch. While some information provided in these hashtags may be useful for parents (e.g. quick and easy recipes), the portrayal of perfect meals and mealtimes may perpetuate harmful expectations. Further research is needed to understand how these representations impact parents, and how Instagram can be used to promote realistic, healthy family meals across the day.

Indexed as

FamilyMealsSocial MediaFemaleHumansMalecontent analysisfamily mealsInstagramnutritionsocial media

Identifiers

PMID40498768
PMCPMC12154203

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.