Evidence map›Paper›PMID 40886258›Full record

ArticleEating and weight disorders : EWD2025

Seasonal body image dissatisfaction: a bi-hemispheric panel analysis of social media users across 4 years.

Justin Thomas, Timothy Regan, Rana Samad, Yasmin Aljedawi, Dahlia AlJuboori, Alex Wells

Abstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

6 authors.

Justin ThomasGlobal Digital Wellbeing Program (Sync), King Abdulaziz Center for World Culture (Ithra), Dhahran, Saudi Arabia. justin.thomas@liverpool.ac.uk.
Timothy ReganGlobal Digital Wellbeing Program (Sync), King Abdulaziz Center for World Culture (Ithra), Dhahran, Saudi Arabia.
Rana SamadGlobal Digital Wellbeing Program (Sync), King Abdulaziz Center for World Culture (Ithra), Dhahran, Saudi Arabia.
Yasmin AljedawiGlobal Digital Wellbeing Program (Sync), King Abdulaziz Center for World Culture (Ithra), Dhahran, Saudi Arabia.
Dahlia AlJubooriGlobal Digital Wellbeing Program (Sync), King Abdulaziz Center for World Culture (Ithra), Dhahran, Saudi Arabia.
Alex WellsGlobal Digital Wellbeing Program (Sync), King Abdulaziz Center for World Culture (Ithra), Dhahran, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSeasonal body image refers to within-person variations in body image satisfaction that correspond with climatic seasonality (winter, spring, summer, and autumn). Previous cross-sectional research involving male participants from northern (UK, USA, and Canada) and southern hemisphere (Australia) nations reports a peak in body image dissatisfaction during the summertime, with a decrease in the wintertime. Big Data extracted from social media platforms provides a novel means of further exploring the seasonal body image hypothesis in a larger and more diverse sample across several years.

methodsThis study utilised panel data drawn from X/Twitter, a social media platform, to investigate the posts (N = 12,017,766) of users/authors (N = 1534) between 2020 and 2023. The panel consisted of authors from countries in both the northern and southern hemispheres. A template-driven search algorithm identified expressions of body image dissatisfaction (BID) in users' posts.

resultsThe rate of BID (relative to the overall number of posts) was calculated for each calendar month. A statistically significant summer spike was observed in the Northern hemisphere, while the data were non-significant but directionally supportive of a similar summer spike in the Southern hemisphere.

conclusionsThis study partially supports the seasonal body image hypothesis, adding nuance to the current understanding of seasonality. This research has implications for the timing of public health initiatives aimed at preventing body image issues and eating disorders. LEVEL OF EVIDENCE IV: Evidence obtained from multiple time series without intervention.

Indexed as

Body DissatisfactionBody ImagePersonal SatisfactionSeasonsSocial MediaAdultHumansMaleBig dataBody imageEating disorderSeasonalitySocial media

Identifiers

PMID40886258
PMCPMC12399709

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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.