Patellar tendinopathy in master track and field athletes: influence of impact profile, weight, height, age and gender

Knee Surg Sports Traumatol Arthrosc. 2011 Mar;19(3):508-12. doi: 10.1007/s00167-010-1314-y. Epub 2010 Nov 6.

Abstract

Purpose: Patellar tendinopathy causes significant morbidity in professional and recreational athletes. Despite the relevance of the problem, its causative factors remain poorly understood. The purpose of this cross-sectional study is to evaluate the influence of age, gender, weight, height and impact profile on developing patellar tendinopathy in master track and field athletes.

Methods: During the European Veterans Athletics Championships in Poznań in July 2006, 174 athletes (103 men and 71 women; mean age: 53.8 (SD 11.4) years, range 35-82 years) were evaluated with the VISA-P questionnaire. A fully trained orthopaedic surgeon made a diagnosis of patellar tendinopathy according to clinical criteria.

Results: There was no effect of gender upon the presence of patellar tendinopathy (n.s.). No significant track and field specialty effect upon the frequency of patellar tendinopathy was found on the VISA-P questionnaire scores. There was no effect of track and field specialty on the VISA-P score. No evidence of a statistically significant association was found between age and VISA-P score (n.s.). There was no statistically significant difference in either prevalence of patellar tendinopathy or VISA-P score between high-impact and low-impact athletes (n.s.).

Conclusion: In master track and field athletes, impact profile, weight, height, age and gender did not exert any influence on developing patellar tendinopathy.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Athletic Injuries / diagnosis
  • Athletic Injuries / epidemiology*
  • Body Weight
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Patellar Ligament*
  • Risk Factors
  • Sex Factors
  • Sickness Impact Profile
  • Statistics, Nonparametric
  • Surveys and Questionnaires
  • Tendinopathy / diagnosis*
  • Tendinopathy / epidemiology
  • Track and Field / injuries*