Table 2

Negative binomial regression results for models 1–3 (n=468, 26 counties, 6 age groups, 3 years)

Factor (standardised)Model 1 (M1)/univariate1
Pearson χ²=1.039
α =0.05
Model 2 (M2)
Pearson χ²=1.005
α =0.04
Model 3 (M3)
Pearson χ²=1.029
α =0.027
IRR (95% CI)P valuesIRR (95% CI)P valuesIRR (95% CI)P values
Age 1 (0–19)1.00<0.001<0.001<0.001<0.001<0.001
Age 2 (20–44)1.35
(1.23 to 1.48)
0.52
(0.31 to 0.89)
0.86
(0.54 to 1.37)
Age 3 (45–54)2.10
(1.89 to 2.33)
1.11
(0.77 to 1.62)
1.79
(1.31 to 2.45)
Age 4 (55–64)3.03
(2.78 to 3.30)
1.33
(0.83 to 2.14)
2.63
(1.78 to 3.87)
Age 5 (65–74)5.22
(4.79 to 5.69)
3.98
(3.27 to 4.84)
5.26
(4.07 to 6.79)
Age 6 (75+)15.21
(13.94 to 16.59)
15.22
(13.95 to 16.59)
14.79
(7.94 to 27.54)
Percentage of population unemployed1.50
(1.26 to 1.78)
<0.0011.47
(1.20 to 1.81)
0.0031.24
(1.04 to 1.41)
0.018
Percentage of the population living in rural areas1.04
(0.96 to 1.12)
0.3481.02
(0.95 to 1.09)
0.5970.97
(0.91 to 1.03)
0.295
Conversion rate of emergency department presentations to admissions0.98
(0.93 to 1.04)
0.471
Percentage of emergency admissions with length of stay equal to 11.19
(1.08 to 1.30)
<0.0011.20
(1.11 to 1.30)
<0.001
Number of general practitioners per 100 0000.97
(0.91 to 1.04)
0.4301.01
(0.96 to 1.05)
0.801
Percentage of the population eligible for the General Medical Services card1.40
(1.13 to 1.74)
0.0021.24
(0.98 to 1.57)
0.07
Percentage of population with private health insurance0.902
(0.87 to 0.93)
<0.0010.92
(0.89 to 0.96)
<0.001
  • All models are age-adjusted. Results for age, model and based on age-only model (M1).

  • The quoted IRR represents the incidence rate ratio associated with a 1 SD change in the risk factor.