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Fig. 3 | International Journal of Health Geographics

Fig. 3

From: Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: a nationwide study during 1985–2015

Fig. 3

Univariable and fully adjusted regression analysis at time of diagnosis. The fixed effects are summarized using the posterior median of the relative risk together with 95% credibility regions. NO2 nitrogen dioxide, CNS Central Nervous System tumours, BR total dose background radiation, SEP socio-economic position, YoR years of existing cantonal registry, G German speaking part, F French speaking part, I Italian speaking part, r rural areas, s semi-urban areas, u urban areas. Predicted ambient NO2 air concentration, predicted background ionising radiation, SEP and duration in years of general cancer registration in the canton were scaled so that the standard deviations (SD) are 1 and considered as linear effects. Their interpretation is a multiplicative increase (or decrease) in the number of observed cases compared to the number of the expected cases per 1 SD increase (or decrease) in the covariate. The sd for predicted ambient NO2 air concentration is 77.7 μg/m3 × 10, for predicted background ionising radiation 60.2 \({\text{nSv}}/{\text{h}}\), for SEP 8.7 units and for duration in years of general cancer registration in the canton 11.6 years. The fully-adjusted models are models adjusted for predicted ambient NO2 air concentration, predicted dose rate from terrestrial gamma and cosmic radiation, SEP, duration in years of general cancer registration in the canton, language region and level of urbanisation

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