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Table 9 Ecological analysis of worker compensation injury risk among BC Aboriginal communities, 1999–2008, Regression [1] statistics from models with one independent (X) variable

From: Worker compensation injuries among the Aboriginal population of British Columbia, Canada: incidence, annual trends, and ecological analysis of risk markers, 1987–2010

X Variable, Interaction term

units

min

max

mean [2]

SD [2]

N

R2

B

SE

P

RR Ratio per SD [2]

L95CL

U95CL

Census_Employed

1 year

153.9

1550

947.2

220.4

261

0.027

0.000

0.000

0.007

1.095

1.025

1.169

IncomePerCapita1000_Employed

$1,000

1.2

39.0

6.1

4.1

147

0.061

0.032

0.010

0.003

1.139

1.047

1.238

IncomeScore_Employed

1

5.5

82.7

27.7

10.4

147

0.089

0.014

0.004

0.000

1.153

1.070

1.243

HighSchool_Employed

1%

0.0

72.9

27.1

12.2

261

0.026

0.007

0.003

0.009

1.091

1.022

1.165

UniversityDegree_Employed

1%

0.0

26.3

2.0

3.5

261

0.038

0.028

0.009

0.002

1.102

1.038

1.171

PopPerRoom_Employed

1

0.03

0.47

0.25

0.07

260

0.000

−0.146

0.470

0.756

0.990

0.927

1.056

NeedMajorRepairs_Employed

1%

0.0

60.0

15.4

9.3

261

0.001

0.002

0.004

0.574

1.020

0.951

1.094

LabourForce_Employed

1%

0.8

66.7

30.2

11.4

261

0.004

0.003

0.003

0.311

1.036

0.967

1.109

OccupationRisk_Employed

RR

0.00

1.34

0.52

0.19

261

0.041

0.663

0.200

0.001

1.134

1.052

1.222

IndustryRisk_Employed

RR

0.00

1.12

0.52

0.17

261

0.030

0.631

0.224

0.005

1.115

1.033

1.204

Remoteness_Employed

1

0.01

0.75

0.11

0.10

261

0.000

−0.044

0.246

0.859

0.995

0.947

1.047

EnvironIndex_Employed

1

0.03

1.41

0.30

0.18

261

0.001

−0.076

0.145

0.601

0.986

0.936

1.039

Aboriginal_Employed

1%

1.1

75.0

40.2

13.9

261

0.008

−0.003

0.002

0.150

0.956

0.899

1.016

NAIndian_Employed

1%

1.0

68.8

38.8

14.0

261

0.007

−0.003

0.002

0.169

0.958

0.900

1.019

  1. Notes:
  2. 1. The dependent (Y) variable is Ln (SRR of worker compensation injury, total of all injuries), and regression is weighted by person-years.
  3. 2. Unweighted mean and standard deviation.