Table 3

Factors associated with duration of time loss (weeks), Cox regression with multiple imputation for advantage/disadvantage and remoteness

Model 1Model 2
Variables in equationHR(99% CI)p ValueHR(99% CI)p Value
Jurisdiction (reference: New South Wales)
 Victoria0.75(0.73 to 0.77)<0.001
 Queensland1.32(1.29 to 1.36)<0.001
 South Australia0.84(0.81 to 0.88)<0.001
 Western Australia0.99(0.96 to 1.02)0.492
 Tasmania1.31(1.24 to 1.39)<0.001
 Northern Territory1.09(1.00 to 1.19)0.012
 Commonwealth Comcare0.91(0.85 to 0.96)<0.001
Gender (reference: male)
 Female0.89(0.87 to 0.91)<0.0010.89(0.87 to 0.91)<0.001
Age (reference: 26–35 years)
 15–24 years1.30(1.26 to 1.35)<0.0011.30(1.26 to 1.34)<0.001
 35–44 years0.85(0.83 to 0.88)<0.0010.85(0.83 to 0.88)<0.001
 45–54 years0.82(0.80 to 0.84)<0.0010.83(0.81 to 0.85)<0.001
 55 years and over0.80(0.78 to 0.83)<0.0010.82(0.79 to 0.84)<0.001
Advantage/disadvantage (reference: middle three quintiles)
 Most disadvantaged quintile0.95(0.92 to 0.97)<0.0010.95(0.92 to 0.98)<0.001
 Most advantaged quintile1.07(1.05 to 1.10)<0.0011.09(1.06 to 1.12)<0.001
Remoteness (reference: major city)
 Inner regional1.04(1.02 to 1.07)<0.0011.02(0.99 to 1.04)0.063
 Outer regional1.10(1.06 to 1.14)<0.0011.02(0.99 to 1.06)0.076
 Remote1.08(1.01 to 1.16).0041.05(0.97 to 1.12)0.118
 Very remote1.18(1.06 to 1.32)<0.0011.07(0.96 to 1.20)0.123
Part-time/full-time hours (reference: part time)
 Full time1.06(1.04 to 1.09)<0.0011.06(1.04 to 1.09)<0.001
Employer industry (reference: healthcare and social assistance)
 Agriculture, forestry and fishing0.80(0.75 to 0.85)<0.0010.78(0.73 to 0.83)<0.001
 Mining0.79(0.74 to 0.85)<0.0010.76(0.71 to 0.82)<0.001
 Manufacturing0.83(0.80 to 0.86)<0.0010.84(0.81 to 0.88)<0.001
 Electricity, gas, water and waste services0.95(0.86 to 1.05).1840.92(0.83 to 1.01)0.024
 Construction0.75(0.72 to 0.78)<0.0010.74(0.71 to 0.77)<0.001
 Wholesale trade0.77(0.73 to 0.81)<0.0010.79(0.75 to 0.83)<0.001
 Retail trade0.78(0.74 to 0.82)<0.0010.78(0.74 to 0.82)<0.001
 Accommodation and food services0.90(0.85 to 0.94)<0.0010.85(0.81 to 0.90)<0.001
 Transport, postal and warehousing0.83(0.79 to 0.87)<0.0010.84(0.80 to 0.88)<0.001
 Information media and telecommunications0.82(0.72 to 0.93)<0.0010.81(0.71 to 0.92)<0.001
 Financial and insurance services0.86(0.79 to 0.94)<0.0010.85(0.78 to 0.94)<0.001
 Rental, hiring and real estate services0.88(0.81 to 0.96)<0.0010.88(0.80 to 0.96)<0.001
 Professional, scientific and tech services0.86(0.81 to 0.92)<0.0010.85(0.79 to 0.91)<0.001
 Administrative and support services0.84(0.80 to 0.88)<0.0010.80(0.76 to 0.84)<0.001
 Public administration and safety0.93(0.89 to 0.96)<0.0010.90(0.87 to 0.94)<0.001
 Education and training1.10(1.06 to 1.15)<0.0011.06(1.01 to 1.11)0.001
 Arts and recreation services0.80(0.74 to 0.86)<0.0010.85(0.79 to 0.92)<0.001
 Other services0.83(0.78 to 0.88)<0.0010.81(0.77 to 0.86)<0.001
Occupation (reference: labourers)
Managers1.03(0.98 to 1.07)0.1771.06(1.02 to 1.12)0.001
 Professionals1.07(1.03 to 1.11)<0.0011.09(1.05 to 1.13)<0.001
 Technicians and trades workers1.06(1.03 to 1.09)<0.0011.07(1.04 to 1.11)<0.001
 Community and personal service workers1.02(0.98 to 1.05)0.2441.02(0.98 to 1.05)0.190
 Clerical and administrative workers1.06(1.02 to 1.11)<0.0011.09(1.04 to 1.13)<0.001
 Sales workers1.03(0.98 to 1.09)0.0821.05(1.00 to 1.10)0.017
 Machinery operators and drivers1.01(0.97 to 1.04)0.6711.01(0.98 to 1.04)0.380
Injury/illness (reference: physical injuries, excluding fractures)
 Fractures1.03(1.00 to 1.06)0.0101.01(0.98 to 1.04)0.490
 Mental health condition0.61(0.59 to 0.64)<0.0010.63(0.61 to 0.65)<0.001
 Other diseases1.35(1.30 to 1.40)<0.0011.35(1.30 to 1.40)<0.001
  • Model 1 includes all predictors excluding jurisdiction, while model 2 includes jurisdiction.