MétaCan
Menu
Back to cohort
Record W4412001347 · doi:10.1136/bjsports-2024-109123

Resistance training in pregnancy: systematic review and meta-analysis of pregnancy, delivery, fetal and pelvic floor outcomes and call to action

2025· article· en· W4412001347 on OpenAlexafffund
Christina Prevett, Jessica Gingerich, Allison Sivak, Margie H. Davenport

Bibliographic record

VenueBritish Journal of Sports Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
FundersWomen and Children's Health Research Institute
KeywordsMedicineGestational hypertensionPregnancyGestational diabetesObstetricsCaesarean sectionMeta-analysisShoulder dystociaPsychological interventionRandomized controlled trialOdds ratioObservational studyPreeclampsiaGestationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Objective Resistance training (RT) has wide-ranging health benefits that may extend to pregnancy. This systematic review aimed to evaluate the influence of RT as a sole intervention or as part of a multicomponent exercise programme on pregnancy, delivery, fetal and pelvic floor outcomes. Design A systematic review and meta-analysis were performed. Risk of bias was performed using the Johanna Briggs Institute risk of bias tool. Data sources Six databases were searched from inception to 15 March 2024. Eligibility criteria Studies were eligible for inclusion if pregnant individuals performed a RT intervention of any intensity, compared with usual care or a non-RT intervention. Outcomes included pregnancy outcomes (rates of gestational hypertension, pre-eclampsia, gestational diabetes and perinatal mood disorders), delivery outcomes (rates of caesarean section, perineal tearing, instrumented delivery and length of labour), fetal outcomes (birth mass, microsomia, macrosomia and gestational age) and rates of pelvic floor disorders. Results Overall, 50 studies (47 619 participants) from 14 countries were included in this review. There were 45 randomised controlled trials, 3 non-randomised interventions and 2 observational studies. Sixteen studies were considered low risk of bias, 27 studies were of moderate risk of bias and seven were classified as high risk of bias. Ninety per cent of studies were multicomponent programmes, and the dosage of RT interventions was generally low-to-moderate. Reporting of RT prescription, progression and use of appropriate loading guidance was poor. RT was associated with a reduction in the odds of gestational hypertension (OR 0.42, 95% CI 0.27 to 0.66; I 2 =0%), gestational diabetes (OR 0.62, 95% CI 0.48 to 0.79; I 2 =0%), perinatal mood disorders (OR 0.48, 95% CI 0.32 to 0.73; I 2 =0%) and macrosomia (OR 0.67, 95% CI 0.50 to 0.88; I 2 =23%) compared with control groups. Conclusions RT, alone or as part of a multicomponent intervention, has significant health benefits during pregnancy. As the majority of interventions are multicomponent, and the aerobic programmes are more appropriately dosed, understanding the impact of RT on the pregnant person is challenging, and studies using currently accepted RT guidelines for exercise dosage and progression are needed.

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)0.013
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0190.027
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.352
Teacher spread0.299 · 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 designMeta-analysis
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

Citations9
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueBritish Journal of Sports MedicineSame topicPregnancy-related medical researchFrench-language works237,207