Literature DB >> 30038827

PRESEASON LOWER EXTREMITY FUNCTIONAL TEST SCORES ARE NOT ASSOCIATED WITH LOWER QUADRANT INJURY - A VALIDATION STUDY WITH NORMATIVE DATA ON 395 DIVISION III ATHLETES.

Jason Brumitt1, Victor Wilson1, Natalie Ellis1, Jordan Petersen1, Christopher John Zita1, Jordon Reyes1.   

Abstract

BACKGROUND: Preseason performance on the lower extremity functional test (LEFT), a timed series of agility drills, has been previously reported to be associated with future risk of lower quadrant (LQ = low back and lower extremities) injury in Division III (D III) athletes. Validation studies are warranted to confirm or refute initial findings. HYPOTHESIS/
PURPOSE: The primary purpose of this study was to examine the ability of the LEFT to discriminate injury occurrence in D III athletes, in order to validate or refute prior findings. It was hypothesized that female and male D III athletes slower at completion of the LEFT would be at a greater risk for a non-contact time-loss injury during sport. Secondary purposes of this study are to report other potential risk factors based on athlete demographics and to present normative LEFT data based on sport participation.
METHODS: Two hundred and six (females = 104; males = 102) D III collegiate athletes formed a validation sample. Athletes in the validation sample completed a demographic questionnaire and performed the LEFT at the start of their sports preseason. Athletic trainers tracked non-contact time-loss LQ injuries during the season. A secondary analysis of risk based on preseason LEFT performance was conducted for a sample (n = 395) that consisted of subjects in the validation sample (n = 206) as well as athletes from a prior LEFT related study (n = 189). STUDY
DESIGN: Prospective cohort.
RESULTS: Male athletes in the validation sample completed the LEFT [98.6 ( ± 8.1) seconds] significantly faster than female athletes [113.1 ( ± 10.4) seconds]. Male athletes, by sport, also completed the LEFT significantly faster than their female counterparts who participated in the same sport. There was no association between preseason LEFT performance and subsequent injury, by sex, in either the validation sample or the combined sample. Females who reported starting primary sport participation by age 10 were two times (OR = 2.4, 95% CI: 1.2, 4.9; p = 0.01) more likely to experience a non-contact time-loss LQ injury than female athletes who started their primary sport at age 11 or older. Males who reported greater than three hours per week of plyometric training during the six-week period prior to the start of the preseason were four times more likely (OR = 4.0, 95% CI: 1.1, 14.0; p = 0.03) to experience a foot or ankle injury than male athletes who performed three or less hours per week.
CONCLUSIONS: The LEFT could not be validated as a preseason performance measure to predict future sports injury risk. The data presented in this study may aid rehabilitation professionals when evaluating an injured athlete's ability to return to sport by comparing their LEFT score to population norms. LEVEL OF EVIDENCE: 2.

Entities:  

Keywords:  Agility; college; epidemiology; functional test; lower quadrant

Year:  2018        PMID: 30038827      PMCID: PMC6044601     

Source DB:  PubMed          Journal:  Int J Sports Phys Ther        ISSN: 2159-2896


  28 in total

1.  A Prospective Study on the Effect of Sport Specialization on Lower Extremity Injury Rates in High School Athletes.

Authors:  Timothy A McGuine; Eric G Post; Scott J Hetzel; M Alison Brooks; Stephanie Trigsted; David R Bell
Journal:  Am J Sports Med       Date:  2017-07-23       Impact factor: 6.202

2.  A Refined Prediction Model for Core and Lower Extremity Sprains and Strains Among Collegiate Football Players.

Authors:  Gary B Wilkerson; Marisa A Colston
Journal:  J Athl Train       Date:  2015-04-06       Impact factor: 2.860

3.  The effect of previous hamstring strain injuries on the change in eccentric hamstring strength during preseason training in elite Australian footballers.

Authors:  David A Opar; Morgan D Williams; Ryan G Timmins; Jack Hickey; Steven J Duhig; Anthony J Shield
Journal:  Am J Sports Med       Date:  2014-11-14       Impact factor: 6.202

4.  Can injury in major junior hockey players be predicted by a pre-season functional movement screen - a prospective cohort study.

Authors:  Khaled Dossa; Glenn Cashman; Scott Howitt; Bill West; Nick Murray
Journal:  J Can Chiropr Assoc       Date:  2014-12

Review 5.  The Adolescent Athlete: A Developmental Approach to Injury Risk.

Authors:  Damien McKay; Carolyn Broderick; Katharine Steinbeck
Journal:  Pediatr Exerc Sci       Date:  2016-10-05       Impact factor: 2.333

6.  The Lower-Extremity Functional Test and Lower-Quadrant Injury in NCAA Division III Athletes: A Descriptive and Epidemiologic Report.

Authors:  Jason Brumitt; Bryan C Heiderscheit; Robert C Manske; Paul Niemuth; Alma Mattocks; Mitchell J Rauh
Journal:  J Sport Rehabil       Date:  2015-05-06       Impact factor: 1.931

7.  Specialization patterns across various youth sports and relationship to injury risk.

Authors:  Jacqueline Pasulka; Neeru Jayanthi; Ashley McCann; Lara R Dugas; Cynthia LaBella
Journal:  Phys Sportsmed       Date:  2017-04-10       Impact factor: 2.241

8.  Association of y balance test reach asymmetry and injury in division I athletes.

Authors:  Craig A Smith; Nicole J Chimera; Meghan Warren
Journal:  Med Sci Sports Exerc       Date:  2015-01       Impact factor: 5.411

9.  Association of the Functional Movement Screen with injuries in division I athletes.

Authors:  Meghan Warren; Craig A Smith; Nicole J Chimera
Journal:  J Sport Rehabil       Date:  2014-09-08       Impact factor: 1.931

10.  PRESEASON JUMP AND HOP MEASURES IN MALE COLLEGIATE BASKETBALL PLAYERS: AN EPIDEMIOLOGIC REPORT.

Authors:  Jason Brumitt; Amy Engilis; Dale Isaak; Amy Briggs; Alma Mattocks
Journal:  Int J Sports Phys Ther       Date:  2016-12
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  5 in total

1.  Risk Factors for Lower Limb Injury in Female Team Field and Court Sports: A Systematic Review, Meta-analysis, and Best Evidence Synthesis.

Authors:  Tyler J Collings; Matthew N Bourne; Rod S Barrett; William du Moulin; Jack T Hickey; Laura E Diamond
Journal:  Sports Med       Date:  2021-01-05       Impact factor: 11.136

Review 2.  Programming Plyometric-Jump Training in Soccer: A Review.

Authors:  Rodrigo Ramirez-Campillo; Jason Moran; Jon L Oliver; Jason S Pedley; Rhodri S Lloyd; Urs Granacher
Journal:  Sports (Basel)       Date:  2022-06-10

Review 3.  Effects of Plyometric Jump Training in Female Soccer Player's Physical Fitness: A Systematic Review with Meta-Analysis.

Authors:  Mario Sánchez; Javier Sanchez-Sanchez; Fabio Y Nakamura; Filipe M Clemente; Blanca Romero-Moraleda; Rodrigo Ramirez-Campillo
Journal:  Int J Environ Res Public Health       Date:  2020-11-30       Impact factor: 3.390

4.  Effects of Plyometric Jump Training on Physical Fitness in Amateur and Professional Volleyball: A Meta-Analysis.

Authors:  Rodrigo Ramirez-Campillo; Antonio García-de-Alcaraz; Helmi Chaabene; Jason Moran; Yassine Negra; Urs Granacher
Journal:  Front Physiol       Date:  2021-02-26       Impact factor: 4.566

5.  Correlations Between Preseason Functional Test Scores and Game Performance in Female Collegiate Volleyball Players.

Authors:  Jason Brumitt; Christopher Patterson; Robert Dudley; Eric Sorenson; Tyler Cuddeford; Heidi Cooke; Linda Froemming
Journal:  Int J Sports Phys Ther       Date:  2022-08-01
  5 in total

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