Evidence map›Paper›PMID 41552620›Full record

ArticleOrthopaedic journal of sports medicine2026

Age, Workload, and Usage Rate: Risk Factors Associated With Knee Injuries in Women's National Basketball Association Athletes.

Sanjit Menon, Skanda Sai, John Traversone, Eugenia Lin, Sailesh V Tummala, Anikar Chhabra

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sanjit MenonAlbany Medical College, Albany, New York, USA.ORCID https://orcid.org/0009-0004-6699-1342
Skanda SaiAlbany Medical College, Albany, New York, USA.
John TraversoneDepartment of Orthopaedic Surgery, Albany Medical Center, Albany, New York, USA.
Eugenia LinDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.
Sailesh V TummalaDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0002-8907-3542
Anikar ChhabraDepartment of Orthopaedic Surgery, Mayo Clinic, Phoenix, Arizona, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Knee injuries are among the most common injuries in female basketball players. Despite the growing popularity of professional women's basketball, particularly the Women's National Basketball Association (WNBA), there are limited recent data evaluating the incidence of and risk factors for knee injuries in WNBA athletes. Hypothesis: Older age, minutes played per game, number of games played, and player usage rate would be significantly associated with having a knee injury in WNBA players from the 2017 to 2022 seasons. Study Design: Descriptive epidemiology study. Methods: Publicly available data on the injury history and player records of active WNBA players between the 2017 and 2022 seasons were reviewed to identify players with a knee injury resulting in ≥1 games missed. The primary outcome was the incidence of knee injuries reported per 1000 minutes-exposures (MEs). Player demographics, statistics, and injury characteristics were recorded. Secondary analysis was conducted using bivariate and multivariable logistic regression to investigate risk factors associated with having a knee injury. Results: A total of 87 players (10.8% of all players) sustained a combined 104 knee injuries between the 2017 and 2022 seasons, indicating a rate of 6.03 knee injuries per 1000 MEs. Accounting for potential confounders, having a knee injury was significantly associated with older age (OR, 1.11; 95% CI, 1.05-1.18; Conclusion: This study showed that knee injuries occurred in 10.8% of players, with an overall rate of 6.03 injuries per 1000 MEs. The most significant risk factors associated with having a knee injury in WNBA athletes were older age and higher player usage rate. Implementing targeted load management strategies for players with higher usage rates or advanced age may help reduce the incidence of knee injuries among female basketball athletes.

Indexed as

female athleteknee injuriessports epidemiologyWNBA

Identifiers

PMID41552620
PMCPMC12811573

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