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Table 4 Incidence per 1,000 person-days of different types of musculoskeletal injuries and hazard ratios for changes in incidence between the intervention and control companies during prestudy and study periods in moderately to highly fit conscriptsa,b

From: Neuromuscular training with injury prevention counselling to decrease the risk of acute musculoskeletal injury in young men during military service: a population-based, randomised study

Variable Company Prestudy period (n= 333/291)c Study period (n= 315/298)c Age-adjusted HR (95% CI) HR adjusted modeld (95% CI)
   Number Incidence Number Incidence   
Acute injuries, all Int 160 3.05 85 1.88 0.77 (0.49 to 1.22) 0.74 (0.46 to 1.18)
  Ctrl 88 2.31 86 2.00   
   Lower extremity Int 82 1.56 56 1.24 0.88 (0.51 to 1.51) 0.82 (0.46 to 1.45)
  Ctrl 52 1.37 55 1.28   
Knee Int 27 0.51 26 0.57 1.18 (0.51 to 2.75) 1.22 (0.49 to 3.01)
  Ctrl 22 0.58 21 0.49   
Ankle Int 17 0.32 12 0.26 0.53 (0.18 to 1.51) 0.50 (0.17 to 1.46)
  Ctrl 12 0.32 20 0.46   
   Upper extremity Int 37 0.70 16 0.35 0.43 (0.17 to 1.09) 0.37 (0.14 to 0.99)
  Ctrl 15 0.39 20 0.46   
Total number of off-duty dayse Int 600 11.4 339 7.5 0.46 (0.22 to 0.97) 0.43 (0.19 to 0.97)f
  Ctrl 218 5.7 424 9.8   
Discharged from military serviceg Int 10 0.19 19 0.42 1.06 (0.34 to 3.27) 1.13 (0.36 to 3.58)f
  Ctrl 8 0.21 20 0.46   
   Follow-up days   
  Int 52,542 45,316   
  Ctrl 38,052 43,054   
  1. aHR, hazard ratio; 95% CI, 95% confidence interval; Int, intervention company; Ctrl, control company. HRs were calculated by using the Cox proportional hazard model if not otherwise mentioned. Statistical significance level was set at P < 0.05. HRs are based on the interaction term of each study group (intervention or control), and study period was entered into the model to analyse the difference in the change in incidence between the groups. bTwo highest tertiles of conscripts according to physical fitness (Conscript's physical fitness index > 14.04 points); cnumber of conscripts in the intervention and control companies per study period; dadjusted for age, urbanisation level of the home residence, smoking, alcohol intake, earlier musculoskeletal symptoms, orthopaedic surgeries, chronic disabilities due to earlier musculoskeletal injuries, school success, previous physical activity and waist circumference (n = 10 adjusting variables); ebecause of acute injuries, rate ratio was obtained from negative binomial model; fnot adjusted for waist circumference, since 15 discharged individuals had missing information; gafter the 2-week run-in period.