Evidence map›Paper›PMID 40078444›Full record

ArticleFrontiers in sports and active living2025

Power in the flow: how menstrual experiences shape women's strength training performance.

Sofia Ryman Augustsson, Anna Findhé-Malenica

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sofia Ryman AugustssonDepartment of Sport Science, Faculty of Social Sciences, Linnaeus University, Kalmar, Sweden.
Anna Findhé-MalenicaDepartment of Sport Science, Faculty of Social Sciences, Linnaeus University, Kalmar, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hormone levels fluctuate significantly throughout the menstrual cycle (MC), potentially impacting physical performance during training. However, the number of studies examining women's experiences during strength training throughout the MC is limited. Therefore, the aim of this study was to explore women's perceptions of strength training during different MC phases. Methods: In this study, a qualitative study design was used where five women (24-32 years) with recreational experience in strength training kept an exercise diary during a MC. Data were collected using semi-structured interviews and analyzed using qualitative conventional content analysis, with an inductive approach. Results: From the analysis, three overarching themes describing the content of the interviews emerged: "Biopsychosocial Dynamics and Individual Variability in the Early Follicular Phase", "From Peak to Breaking Point: Performance Dynamics from Late Follicular Phase to Ovulation" and "Diversity in Mental and Physical Well-Being During the Luteal Phase". From women's perspectives, strength training performance seems to fluctuate across the different phases of the MC, influenced by both physiological and psychological challenges, though with individual variation. Discussion: The findings highlight the need for a holistic approach to managing the physiological and psychological challenges that may arise during each phase of the MC, along with the importance of social support. The results also stress that performance fluctuations across the MC are unique, further emphasizing the inability to recommend general phase-based exercise protocols.

Indexed as

conventional content analysisfollicular phaseluteal phasephysical performanceresistance training

Identifiers

PMID40078444
PMCPMC11897035

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.