An exploratory spatial analysis to assess the relationship between deprivation, noise and infant mortality: an ecological study

Table 1 Definition of the socioeconomic characteristics considered as potential predictors of the geographic distribution of infant mortality

Data	Domain	Variables
Proxy socio-economic variables	Occupation	- Proportion of blue-collar workers in the labor force
	Occupation	- Proportion of managers in the labor force
	Education	- People aged 15 years or older with a higher education degree
		- People aged 15 years or older with at least a lower tertiary education
		- People aged 15 years or older who did not go beyond an elementary education
	Immigration status	- Proportion of foreigners in the total population
	Unemployment	- Proportion of unemployed people in the labor force
	Housing condition	- Subsidised housing among all primary residences
	Characteristics	Description	Mean [95% CI]
Classes of deprivation	Group 1: low deprivation	Census blocks with high median income, low proportion of households without a car, low proportion with non-owner-occupied primary residences	30935 € [29524–32345]
			9.8% [8.6-11]
			31.6% [28.5-34.8]
	Group 2: moderate deprivation	Census blocks with median income average, medium proportion of households without a car, medium proportion with non-owner-occupied primary residences	23232 € [22627–23838]
			27.4% [25.5-29.4]
			59.2% [56.7-61.7]
	Group 3: high deprivation	Census blocks with low median income, high proportion of households without a car, high proportion with non-owner-occupied primary residences	17072 € [16377–17767]
			33.2% [30.7-35.6]
			78.2% [74.7-81.7]

ISSN: 1476-069X