An intersectional approach: Carving out a contemporary research and practice agenda (with and for) female athletes

The enhanced visibility and support for women's sports, represented by events including the 2023 FIFA Women's World Cup, and gender parity at the 2024 Paris Olympic Games (half of the competing athletes were women) are noteworthy. Despite these gains research with and for cisgender female athletes remains underdeveloped. Presently the majority of sports science research is based on male athletes. Accordingly, these studies do not address the intersectional experiences of cisgender females, contributing to significant knowledge gaps. Currently, testing and training protocols do not adequately address their efficacy among cisgender female athlete cohorts, especially in relation to fluctuating hormones, differences in body composition and biomechanics, and sociocultural influences including overall training history and movement literacies. Accordingly, this commentary identifies and critically discusses the complexities associated with this research and knowledge gap (including gender inequities, biological differences, and environmental influences), while urging a more inclusive, intersectional approach to research, training, and policy to better support cisgender female athletes’ health and athletic performance.

Authors

Institutions

Publication Details

Journal
International Journal of Sports Science & Coaching
Published
2025-09-12
DOI
https://doi.org/10.1177/17479541251372927
Citations
2
Primary Topic
Physical Education and Pedagogy
Type
article
Field-Weighted Citation Impact
9.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An intersectional approach: Carving out a contemporary research and practice agenda (with and for) female athletes

Amanda D. Hagstrom, Michelle O’Shea, Cristy Brooks, Kylie Ann Steel et al.
2 citations
International Journal of Sports Science & Coaching
Physical Education and Pedagogy
9.52
article

An intersectional approach: Carving out a contemporary research and practice agenda (with and for) female athletes

Amanda D. Hagstrom, Michelle O’Shea, Cristy Brooks, Kylie Ann Steel, Monica Nelson
article en
2 citations

Abstract

The enhanced visibility and support for women's sports, represented by events including the 2023 FIFA Women's World Cup, and gender parity at the 2024 Paris Olympic Games (half of the competing athletes were women) are noteworthy. Despite these gains research with and for cisgender female athletes remains underdeveloped. Presently the majority of sports science research is based on male athletes. Accordingly, these studies do not address the intersectional experiences of cisgender females, contributing to significant knowledge gaps. Currently, testing and training protocols do not adequately address their efficacy among cisgender female athlete cohorts, especially in relation to fluctuating hormones, differences in body composition and biomechanics, and sociocultural influences including overall training history and movement literacies. Accordingly, this commentary identifies and critically discusses the complexities associated with this research and knowledge gap (including gender inequities, biological differences, and environmental influences), while urging a more inclusive, intersectional approach to research, training, and policy to better support cisgender female athletes’ health and athletic performance.

International Journal of Sports Science & CoachingVol. 20(6)
UNSW Sydney (AU), University of Waikato (NZ), Western Sydney University (AU)
Openalex Percentile: Top 2%
Physical Education and Pedagogy
9.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.