Table 3.
Association between air pollution and incidence of type 2 diabetes by sociodemographic factors.
| n cases | (per ) | UFP (per ) | Elemental carbon (per ) | (per ) | |||||
|---|---|---|---|---|---|---|---|---|---|
| Cox model HR (95% CI)a |
Aalen model Rate (per 100,000 py) difference (95% CI)a,b |
Cox model HR (95% CI)a |
Aalen model Rate (per 100,000 py) difference (95% CI)a,b |
Cox model HR (95% CI)a |
Aalen model Rate (per 100,000 py) difference (95% CI)a,b |
Cox model HR (95% CI)a |
Aalen model Rate (per 100,000 py) difference (95% CI)a,b |
||
| All | 113,985 | 1.17 (1.13, 1.21) | 123 (96, 150) | 1.16 (1.13, 1.19) | 124 (104, 144) | 1.10 (1.08, 1.12) | 102 (80, 124) | 1.10 (1.08, 1.11) | 73 (62, 85) |
| Sex | |||||||||
| Men | 65,245 | 1.23 (1.18, 1.28) | 198 (165, 232) | 1.22 (1.19, 1.26) | 210 (183, 279) | 1.12 (1.10, 1.15) | 183 (147, 220) | 1.13 (1.11, 1.15) | 119 (104, 134) |
| Women | 48,740 | 1.09 (1.04, 1.14) | 51 (23, 79) | 1.07 (1.04, 1.11) | 47 (25, 69) | 1.03 (1.00, 1.07) | 26 (2, 49) | 1.06 (1.04, 1.08) | 37 (26, 49) |
| Education | |||||||||
| Short | 49,162 | 1.12 (1.07, 1.17) | 96 (58, 133) | 1.12 (1.08, 1.16) | 121 (90, 152) | 1.07 (1.04, 1.10) | 101 (66, 136) | 1.08 (1.06, 1.10) | 75 (57, 92) |
| Medium | 50,992 | 1.24 (1.19, 1.30) | 169 (138, 199) | 1.23 (1.19, 1.27) | 172 (147, 196) | 1.12 (1.10, 1.15) | 147 (113, 181) | 1.14 (1.12, 1.16) | 103 (90, 117) |
| Long | 13,831 | 1.10 (1.02, 1.19) | 48 (12, 84) | 1.05 (0.99, 1.11) | 16 () | 0.98 (0.92, 1.06) | () | 1.04 (1.01, 1.07) | 14 () |
| Disposable income | |||||||||
| Quintile 1 (low) | 41,633 | 1.12 (1.07, 1.17) | 71 (30, 112) | 1.11 (1.07, 1.15) | 89 (56, 122) | 1.05 (1.02, 1.09) | 59 (23, 96) | 1.07 (1.05, 1.09) | 56 (38, 75) |
| Quintile 2–4 | 60,530 | 1.20 (1.15, 1.25) | 140 (111, 170) | 1.20 (1.16, 1.23) | 147 (122, 171) | 1.13 (1.11, 1.16) | 141 (109, 173) | 1.13 (1.11, 1.15) | 90 (77, 103) |
| Quintile 5 (high) | 11,822 | 1.23 (1.14, 1.33) | 141 (103, 179) | 1.15 (1.08, 1.22) | 93 (63, 122) | 1.06 (0.99, 1.13) | 54 (18, 88) | 1.08 (1.04, 1.11) | 51 (35, 67) |
| Occupation | |||||||||
| White-collar | 14,107 | 1.27 (1.18, 1.36) | 194 (157, 231) | 1.19 (1.12, 1.25) | 138 (109, 167) | 1.15 (1.09, 1.21) | 141 (106, 175) | 1.12 (1.09, 1.15) | 78 (62, 94) |
| Blue-collar | 21,423 | 1.20 (1.13, 1.27) | 199 (161, 236) | 1.26 (1.21, 1.32) | 209 (177, 240) | 1.15 (1.11, 1.19) | 206 (171, 242) | 1.16 (1.14, 1.19) | 122 (105, 139) |
| Cohabiting status | |||||||||
| Cohabiting | 78,945 | 1.22 (1.17, 1.26) | 141 (113, 168) | 1.20 (1.17, 1.24) | 145 (123, 167) | 1.11 (1.09, 1.14) | 126 (100, 152) | 1.14 (1.13, 1.16) | 101 (89, 113) |
| Living alone | 35,040 | 1.08 (1.03, 1.13) | 67 (29, 105) | 1.07 (1.04, 1.11) | 70 (40, 101) | 1.03 (0.99, 1.07) | 45 (6, 84) | 1.04 (1.02, 1.06) | 27 (12, 43) |
Note: CI, confidence interval; HR, hazard ratio; py, person-years: .
Analyses were adjusted for age, sex, calendar year, education, cohabiting status, personal income, country of birth, and area-level percentage of population with only basic education, with non-Western background, and with criminal record.
Risk estimates calculated in Aalen additive hazard model is given as a rate difference per 100,000 py.