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Record W4304695172 · doi:10.1186/s12884-022-05089-w

#Fitmom: an experimental investigation of the effect of social media on body dissatisfaction and eating and physical activity intentions, attitudes, and behaviours among postpartum mothers

2022· article· en· W4304695172 on OpenAlexafffund
Lisa Tang, Marika Tiggemann, Jess Haines

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2022
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Guelph
FundersCanadian Foundation for Dietetic Research
KeywordsReproductive medicineMedicinePhysical activityClinical psychologyPregnancyPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Research has shown that body dissatisfaction is higher during the postpartum period compared to other periods of life, and strongly associated with disordered eating behaviours, which can lead to adverse health outcomes. While results from cross-sectional studies suggest that social media may play an important role in body dissatisfaction among postpartum mothers, causal inference is limited due to the observational nature of the existing research. The objective of this study is to experimentally test the effect of body-focused social media on the body dissatisfaction and eating and physical activity intentions, attitudes, and behaviours of postpartum mothers. METHODS: Postpartum mothers of infants 0-6 months (n = 132) were randomly assigned to view either body-focused social media posts (n = 65), or a control set of infant feeding tips (n = 67). ANCOVA was used to examine differences between the intervention and control group on levels of body dissatisfaction, eating and physical activity intentions, attitudes, and behaviours. There were two follow-up time points, immediately post intervention and 1-month post intervention to measure potential sustained effects of intervention. RESULTS: Exposure to body-focused social media posts resulted in higher levels of body dissatisfaction, mean difference 1.54 (p = 0.002); poorer body image, mean difference 0.41 (p = 0.007); eating attitudes, mean difference 2.26 (p = 0.025); and higher levels of restrained eating behaviours, mean difference 0.39 (p < 0.001) among the intervention group post intervention. Mothers in the intervention group also reported higher levels of inspiration to be active, mean difference 0.48 (p = 0.021) post intervention. A sustained effect was found for restrained eating, mean difference 2.03 (p < 0.001) and poorer eating attitude, mean difference 0.29 (p = 0.001) at 1-month follow-up. No sustained effects were found for any other outcomes at 1-month follow-up. CONCLUSION: Social media exposure to body-focused social media posts negatively affect postpartum mothers' body dissatisfaction and health behaviours. Further experimental research that includes an interactive social media component is needed among this population. TRIAL REGISTRATION: NCT05181280, Study ID Number: 054798. Registered 06/01/2022. Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT05181280 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.295
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2022
Admission routes2
Has abstractyes

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