Evidence map›Paper›PMID 42389884›Full record

ArticleWomen's health (London, England)

Uncovering a hidden modulator for women in sports: An exploratory study of menstrual pain and brain connectivity.

Carina Pohle, Daniel Büchel, Silvana Bucher Sandbakk, Øyvind Sandbakk, Belinda Pletzer, Jochen Baumeister

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Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Carina PohleExercise Science & Neuroscience Unit, Department of Exercise & Health, Faculty of Science, Paderborn University, Paderborn, Germany.ORCID 0009-0003-0949-3825
Daniel BüchelExercise Science & Neuroscience Unit, Department of Exercise & Health, Faculty of Science, Paderborn University, Paderborn, Germany.
Silvana Bucher SandbakkDepartment of Sport Science and Physical Education, University of Agder, Kristiansand, Norway.
Øyvind SandbakkSchool of Sport Science, UiT The Arctic University of Norway, Tromsø, Norway.
Belinda PletzerDepartment of Psychology & Centre for Cognitive Neuroscience, Paris-Lodron-University of Salzburg, Salzburg, Austria.
Jochen BaumeisterExercise Science & Neuroscience Unit, Department of Exercise & Health, Faculty of Science, Paderborn University, Paderborn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundThe menstrual cycle (MC), the use of combined oral contraceptives (COCs), and the presence of menstrual pain have long been overlooked factors in female athletes' health. The influence of hormonal fluctuations and pain may not only alter perceived performance and trainability but could also induce changes in brain network connectivity.ObjectivesThis study aimed to investigate whether resting-state functional connectivity (rsFC) differs between phases across the MC and COC cycle, as well as between naturally cycling (NC) subjects and COC users. A secondary goal was to explore associations between menstrual pain as a covariate and rsFC.DesignObservational, longitudinal study.MethodsNC women (n = 24) and COC users (n = 17) underwent a resting-state EEG recording during the early follicular phase (EFP) and pre-ovulatory phase (POV), and the active pill phase (pill phase) and inactive phase (pause), respectively. Mean characteristic path length (mCPL), clustering coefficient (CC), and mean debiased weighted phase lag index (mdWPLI) were computed for 37 participants (NC = 21; COC = 16). Phase and group differences were examined using mixed MANOVA, while mixed MANCOVA assessed the influence of menstrual pain as a covariate.ResultsNo significant differences between MC or COC phases, as well as between groups, were found. Including menstrual pain as a covariate revealed significant phase*pain interactions for mCPL and CC, as well as significant group*pain interactions in mdWPLI. Post-hoc tests revealed a significant increase in mCPL from the pause to the pill phase.ConclusionThe preliminary findings suggest that menstrual pain may influence baseline brain network states, which may have potential implications for performance and injury risk in female athletes. Therefore, considering menstrual pain is crucial in both research and applied sports contexts.

Indexed as

BrainContraceptives, Oral, CombinedDysmenorrheaMenstrual CycleSportsAdultAthletesElectroencephalographyFemaleHumansLongitudinal StudiesYoung AdultContraceptives, Oral, Combinedelectroencephalographyfunctional connectivitymenstrual cyclemenstrual pain

Identifiers

PMID42389884
PMCPMC13329011

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