Table 2.

Results of hierarchical multiple linear regression models predicting injury prevention outcomes in Sichuan police officers (N = 207)

VariablesBehavioural adherenceCommitmentPriorityFatalismViolationCommunication barrierWorryNumber of injuries
β95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of B
Autonomous motivation0.31**0.14 to 0.520.42**0.23 to 0.620.52**0.41 to 0.900.01−0.19 to 0.220.04−0.19 to 0.27−0.23*−0.61 to 0.030.05−0.16 to 0.27−0.04−0.25 to 0.17
Controlled motivation0.08−0.17 to 0.32−0.07−0.32 to 0.19−0.19−0.54 to 0.10−0.07−0.34 to 0.20−0.21−0.53 to 0.070.32*0.03 to 0.790.15−0.12 to 0.45−0.23−0.50 to 0.05
Amotivation0.36**0.13 to 0.560.21−0.04 to 0.420.10−0.16 to 0.390.47**0.19 to 0.660.61**0.38 to 0.910.15−0.15 to 0.510.35**0.11 to 0.610.12−0.13 to 0.35
F5.87**4.15**3.92**2.88**4.14**2.33*4.27**2.45**
R20.410.330.320.260.330.220.340.23
VariablesBehavioural adherenceCommitmentPriorityFatalismViolationCommunication barrierWorryNumber of injuries
β95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of B
Autonomous motivation0.31**0.14 to 0.520.42**0.23 to 0.620.52**0.41 to 0.900.01−0.19 to 0.220.04−0.19 to 0.27−0.23*−0.61 to 0.030.05−0.16 to 0.27−0.04−0.25 to 0.17
Controlled motivation0.08−0.17 to 0.32−0.07−0.32 to 0.19−0.19−0.54 to 0.10−0.07−0.34 to 0.20−0.21−0.53 to 0.070.32*0.03 to 0.790.15−0.12 to 0.45−0.23−0.50 to 0.05
Amotivation0.36**0.13 to 0.560.21−0.04 to 0.420.10−0.16 to 0.390.47**0.19 to 0.660.61**0.38 to 0.910.15−0.15 to 0.510.35**0.11 to 0.610.12−0.13 to 0.35
F5.87**4.15**3.92**2.88**4.14**2.33*4.27**2.45**
R20.410.330.320.260.330.220.340.23

The table displays the parameter estimates of the independent variables in Step 2. Estimates for the control variables in Step 1 were omitted for clarity. All Step 2 variables did not reach significance except when dependent variable was number of injuries. Full results can be obtained from the first author. CI, confidence interval.

*P < 0.05, **P < 0.01.

Table 2.

Results of hierarchical multiple linear regression models predicting injury prevention outcomes in Sichuan police officers (N = 207)

VariablesBehavioural adherenceCommitmentPriorityFatalismViolationCommunication barrierWorryNumber of injuries
β95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of B
Autonomous motivation0.31**0.14 to 0.520.42**0.23 to 0.620.52**0.41 to 0.900.01−0.19 to 0.220.04−0.19 to 0.27−0.23*−0.61 to 0.030.05−0.16 to 0.27−0.04−0.25 to 0.17
Controlled motivation0.08−0.17 to 0.32−0.07−0.32 to 0.19−0.19−0.54 to 0.10−0.07−0.34 to 0.20−0.21−0.53 to 0.070.32*0.03 to 0.790.15−0.12 to 0.45−0.23−0.50 to 0.05
Amotivation0.36**0.13 to 0.560.21−0.04 to 0.420.10−0.16 to 0.390.47**0.19 to 0.660.61**0.38 to 0.910.15−0.15 to 0.510.35**0.11 to 0.610.12−0.13 to 0.35
F5.87**4.15**3.92**2.88**4.14**2.33*4.27**2.45**
R20.410.330.320.260.330.220.340.23
VariablesBehavioural adherenceCommitmentPriorityFatalismViolationCommunication barrierWorryNumber of injuries
β95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of Bβ95% CI of B
Autonomous motivation0.31**0.14 to 0.520.42**0.23 to 0.620.52**0.41 to 0.900.01−0.19 to 0.220.04−0.19 to 0.27−0.23*−0.61 to 0.030.05−0.16 to 0.27−0.04−0.25 to 0.17
Controlled motivation0.08−0.17 to 0.32−0.07−0.32 to 0.19−0.19−0.54 to 0.10−0.07−0.34 to 0.20−0.21−0.53 to 0.070.32*0.03 to 0.790.15−0.12 to 0.45−0.23−0.50 to 0.05
Amotivation0.36**0.13 to 0.560.21−0.04 to 0.420.10−0.16 to 0.390.47**0.19 to 0.660.61**0.38 to 0.910.15−0.15 to 0.510.35**0.11 to 0.610.12−0.13 to 0.35
F5.87**4.15**3.92**2.88**4.14**2.33*4.27**2.45**
R20.410.330.320.260.330.220.340.23

The table displays the parameter estimates of the independent variables in Step 2. Estimates for the control variables in Step 1 were omitted for clarity. All Step 2 variables did not reach significance except when dependent variable was number of injuries. Full results can be obtained from the first author. CI, confidence interval.

*P < 0.05, **P < 0.01.

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