Evidence map›Paper›PMID 38874753›Full record

ReviewEuropean journal of sport science2024

Women's rugby for all: Toward an intersectional women's rugby research agenda.

Nonhlanhla Sharon Mkumbuzi

Abstract readReview
In one paragraph

Review in European journal of sport science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

1 author.

Nonhlanhla Sharon MkumbuziDepartment of Sport, Exercise, and Rehabilitation, Northumbria University, Newcastle upon Tyne, England.ORCID https://orcid.org/0000-0002-4982-0662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women rugby players are participating in the sport at the highest levels to date. However, despite this increase in participation, sports sciences and sports medicine/sports physiotherapy (SEMS) research output has not mirrored this increase. Females have hormonally mediated anatomical and physiological profiles, which may have implications for rugby performance, injury risk and rehabilitation outcomes. However, hormonal fluctuations and the physiological differences between the sexes are not the only contributors to sex-related differences in the rugby experience. Rugby is a highly gendered environment, which operates within a hegemonic masculine norm and marginalises female and women athletes. Further, while women players in general are underrepresented in sports sciences and SEMS research, women rugby players and experts from ethnic minorities and the Global South are near invisible in the literature as they are marginalised on multiple fronts. Sports sciences and SEMS research should take an intersectional lens to investigate the joint relationship between the various sources of inequity in rugby. Intersectional research in women rugby players would encourage the conceptualisation and analysis of the complex social inequalities that the most marginalised women players and those who simultaneously negotiate multiple identities experience. Such data can better inform federation-level interventions and policy changes to address the needs of historically marginalised player populations as our research portfolio will be more representative of the world's rugby population.

Indexed as

FootballAthletesAthletic PerformanceFemaleHumansRugbySports Medicinecritical race theoryDEI in sportfeminist theoryGlobal Southinterdisciplinary researchintersectionality

Identifiers

PMID38874753
PMCPMC11621387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.