Literature DB >> 18845979

Risk factors and mechanisms of knee injury in runners.

Stephen P Messier1, Claudine Legault, Casey R Schoenlank, Jovita Jolla Newman, David F Martin, Paul DeVita.   

Abstract

UNLABELLED: Approximately 36 million Americans participate in running each year, with 10.5 million running at least 100 d x yr(-1). Although running injuries are well understood medically, their potential risk factors are not. Thus, we presently have limited ability to identify individuals at high risk for overuse injuries.
PURPOSE: This study aimed to identify behavioral and physiological risk factors that influenced potential knee injury mechanisms, including knee joint forces and knee moments.
METHODS: Participants included 20 adults ranging in age from 20 to 55 yr (n = 7 males and n = 13 females). During the first screening visit, quadriceps and hamstring flexibility was assessed, and Q-angle, height, and weight were measured. During the second screening visit, participants completed a series of questionnaires and a gait analysis to calculate knee joint loads. An isokinetic dynamometer was used to measure eccentric and concentric knee extension strength.
RESULTS: Body weight (r = 0.48, P = 0.03), weekly mileage (r = 0.62, P = 0.005), and concentric knee extension strength (r=0.68, P = 0.0001) were significantly correlated with tibiofemoral compressive force. Knee extension moment displayed a negative correlation with hamstring flexibility (r = -0.47, P = 0.04). Both weekly mileage (r = 0.50, P = 0.03) and concentric knee extension strength (r = 0.60, P = 0.01) had significant positive correlations with patellofemoral force.
CONCLUSION: The results of this study relate larger knee joint loads to poor hamstring flexibility, greater body weight, greater weekly mileage, and greater muscular strength. Most of these risk factors could potentially be modified to reduce joint loads to lower the risk of injury.

Entities:  

Mesh:

Year:  2008        PMID: 18845979     DOI: 10.1249/MSS.0b013e31817ed272

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  15 in total

1.  [Long-term success and risk for marathon runners].

Authors:  C Schueller-Weidekamm
Journal:  Radiologe       Date:  2010-05       Impact factor: 0.635

2.  EVIDENCE FOR ISOKINETIC KNEE TORQUE ASYMMETRIES IN MALE LONG DISTANCE-TRAINED RUNNERS.

Authors:  Rodolfo A Dellagrana; Fernando Diefenthaeler; Felipe P Carpes; Sara G Hernandez; Wagner de Campos
Journal:  Int J Sports Phys Ther       Date:  2015-08

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Authors:  Christa M Wille; Rachel L Lenhart; Sijian Wang; Darryl G Thelen; Bryan C Heiderscheit
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4.  Effects of intensive diet and exercise on knee joint loads, inflammation, and clinical outcomes among overweight and obese adults with knee osteoarthritis: the IDEA randomized clinical trial.

Authors:  Stephen P Messier; Shannon L Mihalko; Claudine Legault; Gary D Miller; Barbara J Nicklas; Paul DeVita; Daniel P Beavers; David J Hunter; Mary F Lyles; Felix Eckstein; Jeff D Williamson; J Jeffery Carr; Ali Guermazi; Richard F Loeser
Journal:  JAMA       Date:  2013-09-25       Impact factor: 56.272

5.  Strength Training for Arthritis Trial (START): design and rationale.

Authors:  Stephen P Messier; Shannon L Mihalko; Daniel P Beavers; Barbara J Nicklas; Paul DeVita; J Jeffery Carr; David J Hunter; Jeff D Williamson; Kim L Bennell; Ali Guermazi; Mary Lyles; Richard F Loeser
Journal:  BMC Musculoskelet Disord       Date:  2013-07-15       Impact factor: 2.362

6.  The Influence of Running on Lower Limb Cartilage: A Systematic Review and Meta-analysis.

Authors:  Michaela C M Khan; James O'Donovan; Jesse M Charlton; Jean-Sébastien Roy; Michael A Hunt; Jean-Francois Esculier
Journal:  Sports Med       Date:  2021-09-03       Impact factor: 11.928

7.  16 Weeks of Progressive Barefoot Running Training Changes Impact Force and Muscle Activation in Habitual Shod Runners.

Authors:  Ana Paula da Silva Azevedo; Bruno Mezêncio; Alberto Carlos Amadio; Julio Cerca Serrão
Journal:  PLoS One       Date:  2016-12-01       Impact factor: 3.240

8.  High resolution MEMS accelerometers to estimate VO2 and compare running mechanics between highly trained inter-collegiate and untrained runners.

Authors:  Stephen J McGregor; Michael A Busa; James A Yaggie; Erik M Bollt
Journal:  PLoS One       Date:  2009-10-06       Impact factor: 3.240

9.  Contributions of lower extremity kinematics to trunk accelerations during moderate treadmill running.

Authors:  Timothy R Lindsay; James A Yaggie; Stephen J McGregor
Journal:  J Neuroeng Rehabil       Date:  2014-12-12       Impact factor: 4.262

10.  Male and female runners demonstrate different sagittal plane mechanics as a function of static hamstring flexibility.

Authors:  D S Blaise Williams; Lee M Welch
Journal:  Braz J Phys Ther       Date:  2015-10-06       Impact factor: 3.377

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