title: The Relative Age Effect on Youth Sports Injuries.
abstract: The relative age effect (RAE) has been described as the consequence of differences in ages between individuals within the same age group. In youth sports, relatively older children may have a physical and developmental advantage over younger children. The purpose of this study was to determine the relationship between relative age and sports injury in a cohort of pediatric athletes.
  
  
  
  A probability sample (n = 1997) of children between 5 and 17 yr of age with sports injuries were extracted from a regional hospital database. Relative age was defined as a child's birth month relative to the month that his/her activity uses as an arbitrary age cutoff. The main outcome measure was an activity-specific birth month ratio, which was developed and compared with birth month data for the state. Linear regression models were used to determine overrepresentation and underrepresentation of sports injuries for prepubescent (5-13 yr) and pubescent (14-17 yr) groups separately.
  
  
  
  Among prepubescent patients, the linear regression model indicated a significant RAE on sports injury (R = 0.037), where those born in or right after the cutoff month for their sports were underrepresented in the study cohort relative to their representation in the general population. For the pubescent group, the RAE was reversed, where those born closest, but before the age cutoff date for their sports were the least represented relative to the general population (R = 0.096).
  
  
  
  These results demonstrate an RAE on youth sports injury risk in a cohort of pediatric athletes with sports-related injuries. These findings may be used to inform safe practices within sports participation among youth athletes.
authors.affiliation: 1The Micheli Center for Sports Injury Prevention, Waltham, MA; 2Division of Sports Medicine, Department of Orthopedics, Boston Children's Hospital, Boston, MA; 3Division of Emergency Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA; 4Harvard Medical School, Boston, MA; 5Brown University, Department of American Studies, Providence, RI; and 6Office of Population Research, Princeton University, Princeton, NJ.
authors.forename: Andrea
authors.initials: A
authors.lastname: Stracciolini
authors.forename: Hilary
authors.initials: H
authors.lastname: Levey Friedman
authors.forename: Rebecca
authors.initials: R
authors.lastname: Casciano
authors.forename: David
authors.initials: D
authors.lastname: Howell
authors.forename: Dai
authors.initials: D
authors.lastname: Sugimoto
authors.forename: Lyle J
authors.initials: LJ
authors.lastname: Micheli
mesh_terms: D000293:Adolescent; D017677:Age Distribution; D000367:Age Factors; D001265:Athletic Injuries / Q000453:epidemiology*; D002648:Child; D002675:Child, Preschool; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D009141:Musculoskeletal System / Q000293:injuries; D011627:Puberty; D014481:United States / Q000453:epidemiology