Table 2

Comparison of participant characteristics between sport specialisation groups (n=946)

CharacteristicSport-specialised athletes (n=759)Non-sport-specialised athletes (n=187)P value
Freq.(%)Freq.(%)
Gender (% male)304(40%)109(58%)<0.001
Age14.2± 2.9113.4± 3.220.002
Median income0.05
 Lower-middle69(9%)12(6%)
 Upper-middle571(75%)136(73%)
 High119(16%)39(21%)
White (n=916)*633(86%)161(88%)0.56
Medical history
 Asthma141(19%)29(16%)0.33
 ADD/ADHD73(10%)18(10%)1.00
 Anorexia/bulimia3(0%)1(1%)0.79
 Anxiety51(7%)14(8%)0.71
 Depression22(3%)5(3%)0.87
 Diabetes3(0%)1(1%)0.79
 Migraine45(6%)12(6%)0.80
Sport
 Contact sport588(78%)175(94%)<0.001
 Limited-contact184(24%)73(39%)<0.001
 Non-contact320(42%)70(37%)0.24
Cigarette use (n=663)*1(0%)0(0%)0.36
Alcohol use (n=662)*78(14%)18(16%)0.73
Reported legal PES use117(15%)19(10%)0.09
Consideration of banned PES use26(3%)2(1%)0.14
Age started organised sports5(4-6)5(4-6)0.28
Relative is a coach78(10%)35(19%)<0.001
Number of seasons with coach0(0–0)0(0–2)<0.001
Unrestricted internet access408(54%)76(41%)0.001
Reason for playing sports0.001
 To have fun391(52%)119(64%)
 Stay fit64(8%)19(10%)
 Make friends11(1%)1(1%)
 Win a championship69(9%)8(4%)
 Be part of a team111(15%)27(14%)
 To be strong18(2%)3(2%)
 To make parents happy2(0%)1(1%)
 Unspecified93(12%)9(5%)
Use of weight training regimen341(45%)57(31%)<0.001
Belief that athletic ability is influenced by weight370(49%)83(44%)0.29
History of intentional weight loss150(20%)35(19%)0.75
History of intentional weight gain99(13%)19(10%)0.29
Weeknight hours of sleep8± 1.228.4± 1.310.001
Weekend hours of sleep9.1± 1.299.3± 1.290.23
  • *The number in parentheses represents the number of cases with available data for the given characteristic.

  • PES, performance-enhancing substances.