Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2005 Jan;15(1):9-13.
doi: 10.1097/00042752-200501000-00003.

Height, weight, and BMI predict intra-articular injuries observed during ACL reconstruction: evaluation of 456 cases from a prospective ACL database

Affiliations

Height, weight, and BMI predict intra-articular injuries observed during ACL reconstruction: evaluation of 456 cases from a prospective ACL database

Andrea L Bowers et al. Clin J Sport Med. 2005 Jan.

Abstract

Objective: To identify demographic and anthropometric risk factors for intra-articular (IA) injuries observed during ACL reconstruction. We hypothesize that significant associations exist among height, weight, and body mass index (BMI) with IA injuries when ACL tear occurs.

Design: This observational study of a prospective multi-investigator ACL database used logistic and Poisson regression analysis to assess independent predictors of IA injuries.

Setting: Vanderbilt Sports Medicine and affiliated tertiary care center.

Patients: Patients undergoing unilateral ACL reconstruction without prior injury to either knee were identified from a detailed prospective ACL reconstruction database. Four hundred fifty-six patients met inclusion/exclusion criteria.

Interventions: Per inclusion criteria, all patients underwent unilateral ACL reconstruction after assessment of injury profile.

Main outcome measurements: The ACL database was initiated in 1990 to identify demographic, anthropometric, and mechanistic variables associated with intra-articular injury.

Results: Height best predicted tibial and patellar damage. BMI better predicted medial femoral condyle lesions, whereas weight better predicted lateral and patellofemoral injury. BMI and weight equally predicted injury to menisci and medial tibial plateau. Through different outcomes, age (odd ratio [OR], 1.49; 95% CI, 1.02-2.16), height (OR, 2.66; 95% CI, 1.52-4.65), weight (OR, 1.02; 95% CI, 1.01-1.04), and BMI (OR, 1.24; 95% CI, 1.004-1.53) were all significant predictors of intra-articular injury.

Conclusions: This is the first report using multivariable analysis of age, height, weight, and BMI to evaluate associations with IA injuries after ACL rupture observed during ACL reconstruction. We hypothesize that athletes possibly could reduce risk of certain IA pathologies with maintenance of lower body weight and BMI and thus potentially improve long-term functional outcomes after ACL reconstruction.

PubMed Disclaimer

Publication types