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. 2018 Jul 30;2(1):e000266. doi: 10.1136/bmjpo-2018-000266

Table 2.

Poisson regression models predicting child general practice utilisation

Children with siblings (n=4519)
Model 1 Model 2
Rate ratio (95% CI) P values Rate ratio (95% CI) P values
Child characteristics
Child age band (vs 0–5)
 6–10 0.42 (0.40 to 0.44) <0.001 0.42 (0.40 to 0.44) <0.001
 11–15 0.39 (0.37 to 0.42) <0.001 0.39 (0.37 to 0.42) <0.001
Child female (vs male) 1.02 (0.97 to 1.07) 0.421 1.02 (0.97 to 1.07) 0.392
Child Index of Multiple Deprivation (IMD) quintile (vs 1)
 2 0.93 (0.82 to 1.06) 0.265 0.98 (0.87 to 1.11) 0.773
 3 0.97 (0.86 to 1.11) 0.676 1.02 (0.90 to 1.15) 0.753
 4 0.99 (0.87 to 1.12) 0.862 1.03 (0.91 to 1.16) 0.648
 5 0.95 (0.83 to 1.07) 0.390 1.00 (0.88 to 1.12) 0.944
Child long-term condition (vs not) 1.96 (1.80 to 2.14) <0.001 1.91 (1.75 to 2.09) <0.001
Parent characteristics
Parent with asthma (vs not) 1.05 (0.92 to 1.19) 0.500
Parent with depression (vs not) 1.08 (0.97 to 1.19) 0.162
Parent with diabetes (vs not) 0.91 (0.77 to 1.07) 0.234
Parent with epilepsy (vs not) 1.08 (0.74 to 1.56) 0.701
Parent with hypertension (vs not) 0.93 (0.83 to 1.05) 0.230
Parent with a mental health condition (vs not) 0.99 (0.74 to 1.34) 0.964
Parent with osteoarthritis (vs not) 1.24 (1.01 to 1.52) 0.036
Parent general practice appointments 1.07 (1.06 to 1.08) <0.001

Models first control for just child characteristics (model 1), and then both child and parent characteristics (model 2).