Table 2

 Modelling the association between area-level socioeconomic disadvantage, occupation and all cause mortality

Model 1* (area disadvantage)Model 2 (occupation)Model 3 (occupation and area-disadvantage), rate ratio (95% CI)
Rate†Rate ratio (95% CI)Rate†Rate ratio (95% CI)
*All models also adjusted for within-statistical local area variation in age (reference age category 50–54 years).
†Mortality per 100 000 population among 50–54-year-olds.
Data are for men and women aged 25–64 years, 1998–2000.
Men
Area-disadvantage
Q1 (least disadvantaged quintile)304.31.001.00
Q2397.41.31 (1.23 to 1.39)1.22 (1.14 to 1.30)
Q3439.91.45 (1.36 to 1.54)1.29 (1.20 to 1.37)
Q4478.21.57 (1.48 to 1.68)1.35 (1.27 to 1.45)
Q5 (most disadvantaged quintile)578.31.91 (1.78 to 2.04)1.59 (1.48 to 1.70)
Occupation
Professionals319.21.001.00
White collar290.00.91 (0.87 to 0.95)0.90 (0.86 to 0.95)
Blue collar634.31.99 (1.94 to 2.05)1.96 (1.90 to 2.02)
Women
Area-disadvantage
Q1 (least disadvantaged quintile)179.01.001.00
Q2200.31.12 (1.03 to 1.22)1.11 (1.02 to 1.20)
Q3221.11.24 (1.14 to 1.35)1.22 (1.12 to 1.32)
Q4230.81.29 (1.19 to 1.40)1.26 (1.16 to 1.37)
Q5 (most disadvantaged quintile)273.51.53 (1.39 to 1.68)1.48 (1.35 to 1.63)
Occupation
Professionals220.51.001.00
White collar198.30.90 (0.86 to 0.94)0.89 (0.85 to 0.94)
Blue collar268.11.22 (1.14 to 1.29)1.19 (1.12 to 1.26)