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Table 5 Incidence per 1,000 person-days of different types of musculoskeletal injuries and hazard ratios for change in incidence between the intervention and control companies during prestudy and study periods in low fitness 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= 166/133)c Study period (n= 174/144)c Age-adjusted HR (95% CI) HR adjusted modeld (95% CI)
   Number Incidence Number Incidence   
Acute injuries, all Int 83 3.37 60 2.47 0.77 (0.42 to 1.39) 0.79 (0.41 to 1.51)
  Ctrl 58 3.63 63 3.21   
   Lower extremity Int 53 2.15 32 1.32 0.84 (0.40 to 1.78) 0.86 (0.38 to 1.92)
  Ctrl 39 2.44 38 1.94   
   Knee Int 22 0.89 20 0.82 1.05 (0.37 to 2.99) 1.48 (0.46 to 4.81)
  Ctrl 13 0.81 14 0.71   
   Ankle Int 20 0.81 5 0.21 0.23 (0.06 to 0.85) 0.17 (0.04 to 0.68)
  Ctrl 9 0.56 17 0.87   
   Upper extremity Int 14 0.57 14 0.58 1.04 (0.30 to 3.62) 0.93 (0.24 to 3.56)
  Ctrl 10 0.63 8 0.41   
Total number of off-duty dayse Int 303 12.3 203 8.4 0.69 (0.26 to 1.82) 0.64 (0.23 to 1.79)f
  Ctrl 198 12.4 217 11.1   
Discharged from military serviceg Int 17 0.69 13 0.54 0.68 (0.24 to 1.97) 0.72 (0.24 to 2.12)f
  Ctrl 11 0.69 15 0.76   
   Follow-up days   
  Int 24,599 24,292   
  Ctrl 15,963 19,628   
  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. bThe lowest tertile 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 obtained from negative binomial model; fnot adjusted by waist circumference, since 16 discharged individuals had missing information; gafter the 2-week run-in period.