Table 3.
Outcomea | N deaths / Source | Sexb | Agec | |||||
---|---|---|---|---|---|---|---|---|
Male | Female | p-interaction | 30–64 | 65–79 | 80+ | p-trend | ||
N deaths | 37,842 | 34,500 | 15,982 | 39,997 | 16,363 | |||
Main: nonT1-DM |
Road traffic | 1.07 (1.05, 1.08) | 1.05 (1.03, 1.06) | < 0.0001 | 1.12 (1.09, 1.14) | 1.05 (1.04, 1.07) | 1.02 (1.00, 1.04) | < 0.0001 |
Railway | 1.03 (1.02, 1.04) | 1.01 (1.00, 1.02) | < 0.0001 | 1.03 (1.01, 1.04) | 1.03 (1.02, 1.04) | 1.00 (0.99, 1.02) | < 0.0001 | |
Aircraft | 1 (0.98, 1.01) | 1.02 (1.00, 1.04) | 0.0609 | 1.00 (0.97, 1.03) | 1.01 (0.99, 1.03) | 1.01 (0.99, 1.04) | 0.4445 | |
N deaths | 38,453 | 34,935 | 16,536 | 40,356 | 16,496 | |||
Secondary 1: DM |
Road traffic | 1.07 (1.05, 1.08) | 1.05 (1.03, 1.06) | < 0.0001 | 1.12 (1.09, 1.14) | 1.05 (1.04, 1.07) | 1.02 (1.00, 1.04) | < 0.0001 |
Railway | 1.03 (1.02, 1.04) | 1.01 (1.00, 1.02) | < 0.0001 | 1.03 (1.01, 1.04) | 1.03 (1.02, 1.04) | 1.00 (0.99, 1.02) | < 0.0001 | |
Aircraft | 1.00 (0.98, 1.01) | 1.02 (1.00, 1.04) | 0.0670 | 1.00 (0.97, 1.02) | 1.01 (0.99, 1.03) | 1.01 (0.98, 1.04) | 0.4269 | |
N deaths | 611 | 435 | 554 | 359 | 133 | |||
Secondary 2: T1-DM |
Road traffic | 1.07 (0.96, 1.19) | 1.12 (0.99, 1.27) | 0.0300 | 1.09 (0.98, 1.22) | 1.10 (0.95, 1.26) | 1.08 (0.86, 1.36) | 0.1000 |
Railway | 1.04 (0.97, 1.12) | 0.98 (0.90, 1.08) | 0.2700 | 1.03 (0.95, 1.11) | 0.99 (0.89, 1.10) | 1.01 (0.86, 1.18) | 0.7400 | |
Aircraft | 0.91 (0.79, 1.04) | 0.95 (0.80, 1.12) | 0.1228 | 0.84 (0.72, 0.98) | 1.10 (0.93, 1.30) | 0.81 (0.58, 1.12) | 0.0156 |
Notes:
aOutcome definition: nonT1-DM (ICD-10: E11-E14); DM (IDC-10: E10-E14, includes type 1 diabetes); T1-DM (ICD-10: E10, type 1 diabetes)
bSex groups included all adults over 30 years old
cAge groups included both sexes
Model 3 included noise exposure (road traffic, railway and aircraft noise; Lden), strata sex* and period (i.e. 2001–2005, 2006–2010, or 2011–2015), plus the individual-level covariates civil status, education level, mother tongue, nationality and quartiles of local-SEP, community and regional SEP score and unemployment, NO2 exposure. *only in models including all ages