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. 2024 May 4;23:46. doi: 10.1186/s12940-024-01084-0

Table 3.

Effect estimates by sex and specific age groups for the association between transportation noise source and diabetes mortality. Full cohort including 4,136,220 adults over 30 years, followed from 2001 to 2015. Multipollutant models, adjusting for the other two noise sources plus NO2. HR and 95% confidence intervals (CI) per 10 dB increase in Lden noise source

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