Table 5

Results of logistic regression on having sexually harassed (both genders combined)

Male athletesOR95% CIP value
Gender (Ref: male)
Female12.426.14 to 25.11<0.001
Age0.960.93 to 0.990.021
Region (Ref: Europe)
Africa7.652.42 to 24.190.001
Asia2.761.01 to 7.560.048
Oceania127.407.05 to 2301.590.001
South America7.601.29 to 44.790.025
Female athletes
Gender (Ref: male)
Female0.410.17 to 0.970.043
Region (Ref: Europe)
Africa4.181.30 to 13.460.016
Oceania80.846.10 to 1072.170.001
South America4.751.25 to 18.020.022
Male coaches
Gender (Ref: male)
Female9.954.58 to 21.62<0.001
Region (Ref: Europe)
Africa7.892.34 to 26.660.001
Oceania53.604.65 to 617.190.001
South America6.471.07 to 39.160.042
Female coaches
Age0.950.90 to 0.990.027
Male physicians in practice longer
Gender (Ref: male)
Female27.4714.33 to 52.65<0.001
Residency training (Ref: family medicine)
Pediatrcs0.130.03 to 0.550.006
Male physicians in practice the same or less
Gender (Ref: male)
Female13.776.54 to 28.99<0.001
Region (Ref: Europe)
South America4.681.08 to 20.160.039
Female physicians in practice longer
NANANANA
Female physicians in practice the same or less
Region (Ref: Europe)
Africa6.401.22 to 33.520.028
Male athletic trainers
Gender (Ref: male)
Female5.402.46 to 11.85<0.001
Female athletic trainers
NANANANA
Organisations/administrations
Gender (Ref: male)
Female7.313.50 to 15.27<0.001
Region (Ref: Europe)
Africa11.513.27 to 40.53<0.001
Oceania35.784.08 to 313.380.001
Residency training (Ref: family medicine)
Orthopaedics0.250.07 to 0.830.023