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Record W4413496037 · doi:10.1007/s40279-025-02248-9

Kicking Off Motherhood: Considering Return to Play Postpartum in the Footballer

2025· review· en· W4413496037 on OpenAlexaff
Amal Hassan, Emma Brockwell, Sinéad Dufour, Michiko Dohi, Margie H. Davenport

Bibliographic record

VenueSports Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsWomen and Children’s Health Research InstituteMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsSports medicineMedicinePhysical therapyObstetrics

Abstract

fetched live from OpenAlex

The longstanding belief that pregnancy marks the end of a footballer's career is increasingly being challenged, with more players returning to professional, domestic, and international competition after childbirth. Pregnancy and childbirth involve unique physiological, musculoskeletal, and psychological adaptations that can influence postpartum health, wellbeing, and the return-to-play (RTP) process. This narrative review synthesizes current literature on postpartum RTP, with a focus on the specific needs of footballers. Key considerations include labor and delivery, postpartum health and wellbeing, general postpartum physical activity guidelines, broader return-to-sport principles, and football-specific factors. By supporting footballers to continue their careers through motherhood, we can enhance player retention and inspire future generations to engage in football across the lifespan.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.399
Teacher spread0.339 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations4
Published2025
Admission routes1
Has abstractyes

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