Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 231

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Elite female athletes’ experiences and perceptions of the menstrual cycle on training and sport performance

Open access
Brown, Natalie, Knight, Camilla J., Forrest (née Whyte), Laura J.·2021·Scandinavian Journal of Medicine & Science in Sports

Abstract

The purpose of the current study was twofold (a) to examine elite female athletes’ experiences of their menstrual cycle, with a focus upon the impact on training and competition performance and (b) the openness of conversation pertaining to the menstrual cycle with coaching and support staff. Following receipt of institutional ethical approval, individual semi‐structured interviews were conducted with 17 elite female athletes (25.5 ± 4.7 years) from multiple sports. Results revealed athletes’ experiencing a natural menstrual cycle reported physical symptoms alongside mood disturbances and reduced motivation to train. The decision to actively control the menstrual cycle was often triggered by a desire to reduce the effect on competition, to lessen anxieties about making required weight or reduce distraction to manage during competition. Athletes indicated an openness to talk about the menstrual cycle to other females, however, there was variation in the comfort athletes experienced regarding talking to male coaches. Overall, the findings highlight the need to educate elite athletes and coaches on the menstrual cycle, considering it in the same light as other physiological functions in sport to improve health, well‐being, and performance. Furthermore, providing education on how to construct positive conversations, equipping individuals with the correct terminology, and confidence to talk about the menstrual cycle will reduce some reservations identified through improved knowledge and understanding.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/sms.13818

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Brown, N., Knight, C. J., & Forrest (née Whyte), L. J.
Venue
Scandinavian Journal of Medicine & Science in Sports
Publisher
Wiley
Published
2020-09-19
Volume
31
Issue
1
Pages
52-69
ISSN
  • 0905-7188 (ISSN-L)
  • 1600-0838
OpenAlex
W3082765662
Cited by
231
References
3
FWCI
9.98
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.