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Record W4411008289 · doi:10.3389/fmed.2025.1606471

Impact of physical activity on maternal and neonatal outcomes among women with vaginal births—single center prospective cohort study

2025· article· en· W4411008289 on OpenAlexaboutno aff
Anna Weronika Szablewska, Bartosz Zając

Bibliographic record

VenueFrontiers in Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
FundersGdański Uniwersytet Medyczny
KeywordsProspective cohort studyMedicineCenter (category theory)ObstetricsCohort studyCohortInternal medicine

Abstract

fetched live from OpenAlex

Background Optimal levels of physical activity during pregnancy are associated with numerous health benefits for both the mother and fetus. Additionally, maternal exercise has been linked to improved cardiovascular fitness, reduced lower back pain, enhanced mental wellbeing and favorable neonatal outcomes, including a lower risk of macrosomia and improved placental function. However, both insufficient and excessive physical activity levels may have adverse effects, highlighting the need for a balanced approach. Objective The aim of this study was to evaluate the impact of physical activity before and during pregnancy on maternal perinatal outcomes and neonatal condition. The hypothesis proposes that physical activity at the level recommended by the World Health Organization (WHO) does not negatively affect maternal or neonatal outcomes. Methods This single-center prospective cohort study was conducted at a tertiary care hospital in northern Poland. Participants were recruited from antenatal outpatient clinics and classified based on their physical activity levels before and during pregnancy according to WHO as well as Canadian and the American College of Obstetricians and Gynecologists’ guidelines. Data collection occurred in two stages: first, through a questionnaire including socio-demographic data and the Polish version of the Get Active Questionnaire for Pregnancy, and second, by analyzing biomedical data routinely collected during childbirth. A total of 115 cases were included in the final analysis. Statistical analyses comprised logistic and linear regression model implementation, as well as the Student’s t-test, Welch’s t-test and the Mann–Whitney U-test, with the level of statistical significance set at p < 0.001. Results No statistically significant effects of physical activity before or during pregnancy were observed on platelet count, hemoglobin levels, C-reactive protein concentrations, labor duration, BMI changes, anesthesia use, perineal trauma, or neonatal outcomes (including birth mass, length, head circumference, chest circumference, APGAR scores, and umbilical cord blood parameters). Conclusion Physical activity before and during pregnancy does not negatively impact maternal or neonatal outcomes. These findings support current physical activity recommendations during pregnancy, emphasizing the need for further research on the mechanisms underlying hematological changes associated with exercise.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.007
GPT teacher head0.304
Teacher spread0.297 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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