Evidence map›Paper›PMID 42751226›Full record

ReviewFrontiers in sports and active living2026

Menstrual cycle hormonal fluctuations and their associations with athletic performance and injury susceptibility in female athletes.

Yue Zou, Ying Gao, Ruxiang Yuan, Qinjie Yang, Tiantian Xin, Youliang Wen, Fei Xie, Xiaomin Niu, Ketao Du, Jianghua Cheng

Abstract readReview
In one paragraph

Review in Frontiers in sports and active living, 2026. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yue Zou *Department of Rehabilitation Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
Ying Gao *School of Rehabilitation Medicine, Gannan Medical University, Ganzhou, Jiangxi, China.
Ruxiang Yuan *Department of Rehabilitation Medicine, Dongguan Huangjiang Hospital, Dongguan, Guangdong, China.
Qinjie YangDepartment of Rehabilitation Medicine, Dongguan Huangjiang Hospital, Dongguan, Guangdong, China.
Tiantian XinDepartment of Rehabilitation Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
Youliang WenSchool of Rehabilitation Medicine, Gannan Medical University, Ganzhou, Jiangxi, China.
Fei XieDepartment of Rehabilitation Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
Xiaomin NiuDepartment of Rehabilitation Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
Ketao DuDepartment of Rehabilitation Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
Jianghua ChengDepartment of Rehabilitation Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The menstrual cycle (MC) is characterized by periodic fluctuations in estradiol and progesterone that may influence exercise metabolism, neuromuscular function, connective-tissue properties, menstrual symptom burden, recovery, and musculoskeletal injury susceptibility in female athletes. However, inconsistent findings and substantial inter- and intraindividual variability have prevented the development of universally applicable practical guidance. Objective: This narrative review aimed to synthesize current evidence on the associations of MC-related hormonal fluctuations with athletic performance and injury susceptibility; examine the underlying physiological, biomechanical, and psychological mechanisms; and evaluate the practical implications for training, nutrition, recovery, and injury prevention. Main findings: The available evidence indicates that associations between the MC phase and objective performance outcomes are generally weak, variable, task-specific, and highly individual. Some studies have reported phase-related differences in selected measures of muscle strength, explosive performance, endurance strain, or training adaptation, whereas other studies have found no meaningful differences. Therefore, no MC phase can currently be considered universally advantageous or disadvantageous for athletic performance. Estradiol, progesterone, and relaxin provide biologically plausible pathways through which connective tissue metabolism, joint laxity, neural excitability, sensorimotor processing, and muscle-activation strategies might be modified. However, much of the supporting evidence is derived from experimental laboratory surrogate outcomes rather than prospectively recorded clinical injury data. Observational evidence linking distinct menstrual phases to anterior cruciate ligament tears, muscle strains, and other musculoskeletal injuries remains limited, heterogeneous, and unable to confirm direct causal links. Limitations: Interpretation of the evidence is constrained by small sample sizes; inaccurate or inconsistent phase classification; limited hormonal verification; inadequate control of training load; energy availability, sleep, and hormonal contraceptive use; and substantial between- and within-individual variability. Practical implications: Current evidence does not support rigid or universally applied phase-based training rules, nor arbitrary risk/performance labeling of MC phases. MC status should be considered contextual information rather than an independent basis for training prescription. Training and injury-prevention decisions should be guided primarily by repeated individual monitoring of menstrual symptoms, perceived readiness, recovery, nutritional intake, objective performance, training load, environmental stressors, and previous injury. Established neuromuscular injury-prevention and workload-management strategies should be implemented throughout the cycle rather than restricted to presumed vulnerable phases.

Indexed as

anterior cruciate ligament injuryathletic performanceestrogeninjury riskmenstrual cycleperiodized trainingprogesterone

Identifiers

PMID42751226
PMCPMC13580144

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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.