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Table 3 Predictive equations for models created separately for each course

From: Models to predict injury, physical fitness failure and attrition in recruit training: a retrospective cohort study

OutcomeCourseEquation
Any injury28-dayZ = −3.805 + 0.928(Sex) + 0.034 (Age) + 0.049 (Init-SU) – 0.593(Init-shuttlea)
80-dayZ = −1.877 + 0.871 (Sex) + 0.044 (Age) + 0.031 (BMI) + 0.020 (Init-SU) – 1.070 (Init-shuttlea)
Overuse injury28-dayZ = −5.031 + 0.739(Sex) + 0.035(Age) + 0.064(Init-SU) – 0.845(Init-shuttlea)
80-dayZ = − 1.621 + 1.032(Sex) + 0.046(Age) + 0.030(BMI) – 1.106(Init-shuttlea)
Stress fracture28-day(No model: only 1 stress fracture)
80-dayZ = 6.184–0.042(Ht) + 0.077(Age) – 0.763(Init-shuttle)
Neuromuscular injury28-dayZ = − 3.911 + 1.018(Sex) + 0.035(Age) + 0.046(Initial SU) – 0.637 (Init-shuttlea)
80-dayZ = − 1.247 + 0.841(Sex) + 0.046(Age) + 0.027(BMI) – 0.957 (Init-shuttlea)
Traumatic injury28-dayZ = − 3.087 + 0.642(Sex) + 0.028(Age)
80-dayZ = −1.460 + 0.602(Sex) + 0.021(Age) + 0.032(BMI) – 0.746(Init-SUa) – 0.533(Init-shuttlea)
Attrition28-dayZ = −3.943 + 0.040(Age)
80-dayZ = −4.825 + 0.077(Init-PU)
Final BFA battery failure28-dayZ = 2.263 + 0.024(Age) + 0.035(Wt) – 1.578(Init-PUa) – 3.549(Init-SUa) – 1.441(Init-shuttlea)
80-dayZ = −8.775 + 0.033(Ht) + 0.025(Wt) + 0.032(Init-SU) – 1.455(Init-PUa) – 1.048(Init-shuttlea)
  1. Z. logit from the logistic regression equation. Logits were converted to probabilities of the corresponding outcomes. Sex was coded 0 for females and 1 for males. Ht. height in cm; Wt. weight in kg; BMI. body mass index in kg/m2; Init-PU. push-up repetitions obtained upon arrival at the basic training site; Init-SU. sit-up repetitions obtained upon arrival at the basic training site; Init-shuttle. shuttle run level obtained upon arrival at the basic training site; afailure. dichotomized pass/fail version of the predictor variable. BFA (failure) variables were coded 0 for passing and 1 for failure