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. 2020 Jan 24;63(5):964–976. doi: 10.1007/s00125-020-05087-7

Table 1.

Direction, magnitude and significance of the association with type 1 diabetes incidence for each environmental variable for the frequentist ecological EnWAS and Bayesian disease-mapping approach

Variable EnWAS Disease mapping
Mean 95% CI Adjusted p valuea Mean 95% CrI
Minimum sunshine duration 0.920 0.877, 0.966 0.001 0.973 0.854, 1.108
Maximum sunshine duration 0.938 0.888, 0.991 0.023 0.963 0.835, 1.109
Minimum temperature 0.956 0.931, 0.982 0.001 0.959 0.913, 1.008
Maximum temperature 0.959 0.946, 0.972 <0.001 0.985 0.941, 1.031
Yearly ultraviolet radiation 1.000 1.000, 1.000 <0.001 1.000 0.999, 1.000
Land cover
  Green space 1.000 0.999, 1.002 0.487 1.001 0.998, 1.003
  Blue space 1.001 0.998, 1.003 0.636 0.998 0.994, 1.003
  Built-up space 0.997 0.997, 0.998 <0.001 0.999 0.998, 1.000
  Intense agriculture 1.003 1.002, 1.003 <0.001 1.001 1.000, 1.002
ANGSt 1b 0.996 0.995, 0.998 <0.001 0.999 0.996, 1.001
ANGSt 2b 0.998 0.997, 0.998 <0.001 0.999 0.998, 1.000
ANGSt 3b 0.999 0.999, 1.000 <0.001 1.000 1.000, 1.001
ANGSt 4b 0.999 0.999, 1.000 0.007 1.001 1.000, 1.002
Rural status, % 1.001 1.001, 1.002 <0.001 1.000 1.000, 1.001
Urban status, % 0.999 0.998, 0.999 <0.001 1.000 0.999, 1.000
Aggregate radon potential classc 1.049 1.031, 1.067 <0.001 1.047 1.018, 1.078
Fine particulate matter (PM2.5) 0.939 0.925, 0.954 <0.001 0.972 0.942, 1.005
Particulate matter (PM10)c 0.958 0.949, 0.968 <0.001 0.977 0.958, 0.997
Nitrogen dioxidec 0.990 0.988, 0.993 <0.001 0.994 0.990, 0.998
Nitrogen oxidesc 0.996 0.995, 0.997 <0.001 0.997 0.996, 0.999
Carbon monoxidec 0.930 0.914, 0.946 <0.001 0.968 0.939, 0.999
Sulphur dioxide 1.006 0.997, 1.015 0.198 1.012 0.995, 1.030
Ozone 0.998 0.995, 1.001 0.179 0.999 0.991, 1.008
Benzene 0.989 0.969, 1.008 0.261 1.010 0.984, 1.036
PM10 (EU-LUR model) 0.976 0.970, 0.983 <0.001 0.989 0.977, 1.002
Nitrogen dioxide (EU-LUR model)c 0.992 0.990, 0.993 <0.001 0.994 0.991, 0.997
Leadc 0.999 0.999, 0.999 <0.001 0.999 0.999, 0.999
Cadmium 1.000 1.000, 1.000 0.096 1.000 1.000, 1.000
Arsenic 1.000 1.000, 1.000 0.165 1.000 1.000, 1.000
Nitrates in drinking water 0.997 0.996, 0.999 0.002 1.000 0.997, 1.003
Fungicides 1.000 1.000, 1.000 0.003 1.000 1.000, 1.000
Herbicides and desiccants 1.000 1.000, 1.000 0.055 1.000 1.000, 1.000
Growth regulators 1.000 1.000, 1.000 0.110 1.000 1.000, 1.000
Insecticides, nemacides and acaracides 1.000 1.000, 1.000 0.048 1.000 1.000, 1.000
Molluscicides and repellents 1.000 1.000, 1.000 0.018 1.000 1.000, 1.000
Other pesticides 1.000 1.000, 1.000 0.020 1.000 1.000, 1.000
Total pesticides 1.000 1.000, 1.000 0.014 1.000 1.000, 1.000
Outdoor light at nightc 0.996 0.995, 0.996 <0.001 0.997 0.995, 0.998
Population density (2000)c 0.964 0.957, 0.972 <0.001 0.976 0.963, 0.991
Population density (2001)c 0.965 0.957, 0.972 <0.001 0.977 0.963, 0.991
Overcrowdingc 0.959 0.949, 0.968 <0.001 0.976 0.958, 0.994
IMD 0.998 0.996, 1.000 0.024 0.998 0.994, 1.001
  Living environment domainc 0.994 0.992, 0.995 <0.001 0.994 0.991, 0.997
  Housing domain 0.993 0.991, 0.995 <0.001 0.996 0.992, 1.001
  Education domain 1.003 1.001, 1.005 0.002 1.002 0.999, 1.005
  Employment domain 1.012 0.996, 1.028 0.130 0.994 0.962, 1.027
  Income domain 0.975 0.961, 0.989 0.001 0.978 0.953, 1.004
  Crime domain 0.924 0.896, 0.952 <0.001 0.965 0.920, 1.013
  Health domain 1.013 0.989, 1.038 0.284 0.997 0.950, 1.048
Tobacco expenditure 0.995 0.982, 1.009 0.503 0.991 0.964, 1.020
White ethnicityc 1.008 1.006, 1.009 <0.001 1.005 1.002, 1.008
Black ethnicityc 0.982 0.978, 0.986 <0.001 0.987 0.980, 0.994
Asian ethnicityc 0.989 0.986, 0.992 <0.001 0.995 0.990, 1.000

ap < 0.0009 to be significant after Bonferroni correction for multiple testing

bANGSt criteria are defined in the Methods section

cVariable significantly associated with type 1 diabetes across both approaches

EU-LUR, European land use regression air pollution model