Evidence map›Paper›PMID 40269794›Full record

ArticleBMC pregnancy and childbirth2025

Exceeding the guidelines: A descriptive study of exercise, pregnancy, maternal and neonatal health outcomes in elite and recreational athletes.

Emilie Mass Dalhaug, Birgitte Sanda, Kari Bø, Wendy J Brown, Jorunn Sundgot-Borgen, Lene Annette Hagen Haakstad

Abstract read
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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Emilie Mass DalhaugNorwegian School of Sports Sciences, Department of Sports Medicine, Oslo, Norway. emiliefm@nih.no.
Birgitte SandaNorwegian School of Sports Sciences, Department of Sports Medicine, Oslo, Norway.
Kari BøNorwegian School of Sports Sciences, Department of Sports Medicine, Oslo, Norway.
Wendy J BrownBond University, Faculty of Health Sciences and Medicine, Gold Coast, Australia, and University of Queensland, School of Human Movement and Nutrition Sciences, Brisbane, Australia.
Jorunn Sundgot-BorgenNorwegian School of Sports Sciences, Department of Sports Medicine, Oslo, Norway.
Lene Annette Hagen HaakstadNorwegian School of Sports Sciences, Department of Sports Medicine, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExercise during pregnancy is associated with numerous health benefits. However, guidelines for elite and recreational athletes, who often exceed general recommendations regarding intensity, duration, and frequency are lacking, and potential risks remain unclear. The aim of the study was to describe exercise levels, pregnancy, and maternal and neonatal health outcomes in elite and recreational athletes.

methodThis study was part of the Strong Mama research project, which was carried out in Oslo, Norway, between October 2022 and February 2024. Sixty athletes (10 elite and 50 recreational) participated in the study. They completed an online survey during late pregnancy and participated in a structured telephone interview six weeks postpartum. The survey and interview collected data on exercise habits, pregnancy experiences, and maternal and neonatal health outcomes.

resultsThe athletes maintained high exercise levels during pregnancy, with elite athletes exercising an average of 11.6 h per week (SD 3.2) and recreational athletes exercising 7.0 h per week (SD 2.4). Most athletes resumed exercising within six weeks postpartum. Almost all pregnancies were planned, including six which involved fertility treatment. Most women (76.7%) had spontaneous onset of labor and vaginal deliveries to term (between 36 and 42 weeks). The mean birthweight was 3487 (SD 519.4, range 2600-4775) grams. Two of the elite athletes were diagnosed with gestational diabetes mellitus and two with hypertension during pregnancy. None of the 50 recreational athletes reported any pregnancy complications.

conclusionHigh levels of exercise during pregnancy did not seem to negatively impact maternal or neonatal health in this descriptive sample of Norwegian elite and recreational athletes. However, more research is needed to confirm these findings.

Indexed as

AthletesExerciseInfant HealthMaternal HealthPregnancy OutcomeAdultFemaleHumansInfant, NewbornNorwayPregnancyYoung AdultDeliveryExercise volumeHigh-intensity trainingObstetricOffspring health

Identifiers

PMID40269794
PMCPMC12020307

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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.