Final models1-151 for premature LLTI by area type
| Variable | Rural areas | Rural fringe | Urban | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| β1-152 | RR1-153 (95% CI) | β | RR (95% CI) | β | RR (95% CI) | ||||||
| Constant | −3.22 | — | −3.41 | — | −3.40 | — | |||||
| Sex | |||||||||||
| Male | 0.00 | 1.00 | 0.00 | 0.00 | |||||||
| Female | −0.18 | 0.831-150(0.81, 0.86) | −0.21 | −0.23 | |||||||
| Age | |||||||||||
| 0–15 | 0.00 | 1.00 | 0.00 | 0.00 | |||||||
| 16–44 | 0.74 | 2.101-150(1.98, 2.22) | 0.61 | 0.62 | |||||||
| 45–64 | 1.91 | 6.741-150(6.39, 7.11) | 1.87 | 1.87 | |||||||
| Age1-150sex interaction1-154 | |||||||||||
| Fem1-15016–44 | 0.13 | 0.13 | |||||||||
| Fem1-15045–64 | 0.06 | 0.10 | |||||||||
| ED level Customised Deprivation Profile | |||||||||||
| Low earnings | 0.95 | 2.571-150(1.52, 4.35) | 1.00 | 2.731-150 (1.56, 4.77) | |||||||
| Amenities | 0.28 | 1.321-150 (1.20, 1.47) | 0.27 | 1.301-150 (1.19, 1.43) | 0.21 | 1.241-150 (1.19, 1.29) | |||||
| No car | 0.27 | 1.321-150 (1.23, 1.42) | 0.19 | 1.211-150(1.16, 1.27) | 0.27 | 1.301-150 (1.29, 1.32) | |||||
| Unemployment | 0.04 | 1.051-150 (1.00, 1.09) | 0.16 | 1.171-150(1.12, 1.23) | 0.79 | 2.211-150 (1.74, 2.80) | |||||
| Unskilled | 0.03 | 1.031-150 (1.01, 1.05) | 0.01 | 1.011-150 (1.00, 1.02) | |||||||
| Not owner | 0.04 | 1.041-150 (1.01, 1.08) | |||||||||
| Moved recently | −0.04 | 0.961-150 (0.94, 0.99) | |||||||||
| Overcrowding | 0.05 | 1.051-150(1.04, 1.06) | |||||||||
| One parent | 0.04 | 1.041-150(1.03, 1.05) | |||||||||
| Low social class | 0.03 | 1.031-150 (1.02, 1.04) | |||||||||
| Nearest neighbour | |||||||||||
| DHA | 0.22 | 1.241-150 (1.17, 1.32) | 0.10 | 1.101-150 (1.05, 1.14) | 0.07 | 1.081-150 (1.03, 1.12) | |||||
| Ward | 0.08 | 1.081-150 (1.04, 1.11) | |||||||||
| ONS Ward Classification cluster | |||||||||||
| Accessible | 0.00 | 1.00 | |||||||||
| Agricultural | 0.05 | 1.051-150(1.00, 1.10) | |||||||||
| Remote | 0.03 | 1.04 (0.98, 1.09) | |||||||||
| ONS Ward Classification group | |||||||||||
| Suburbia | 0.00 | 1.00 | |||||||||
| Industrial areas | 0.13 | 1.141-150 (1.09, 1.18) | |||||||||
| Middling Britain | 0.06 | 1.061-150 (1.04, 1.09) | |||||||||
| Prosperous areas | −0.08 | 0.921-150 (0.89, 0.95) | |||||||||
| Est. owner occupiers | −0.06 | 0.941-150(0.92, 0.97) | |||||||||
| Metropolitan prof. | −0.15 | 0.861-150 (0.82, 0.90) | |||||||||
| Mature population | −0.02 | 0.98 (0.96, 1.01) | |||||||||
| Transient populations | −0.01 | 0.99 (0.94, 1.05) | |||||||||
| Aggregated deprived | 0.02 | 1.02 (0.99, 1.06) | |||||||||
↵1-151 Multilevel Poisson models that reduce the most unexplained variation, including only significant variables.
↵1-152 Estimated coefficients.
↵1-153 Relative risks.
↵1-154 The relative risks for the age and sex variables in the rural fringe and urban models cannot be presented here because there is an interaction between the two variables please refer to table 2.
↵1-150 <p0.05.