Developing a data-driven spatial approach to assessment of neighbourhood influences on the spatial distribution of myocardial infarction

Table 7 Comparison between neighbourhood characteristics of inhabitant of cluster of high risk and inhabitant of cluster of high risk

Main characteristics	Most likely cluster		p value*
Main characteristics	Cluster of high risk^a	Cluster of low risk^b	p value*
No civic associations	1.2%	99%	<0.0001
No school graded ZEP^c	22.11	96%	<0.0001
Proportion of population covered by CAF higher that 60%	67%	13.62	<0.0001
Multiple–dwelling unit buildings	58.79	2.90	<0.0001
Single–family homes	24.6	90.43	<0.0001
Distance to healthcare facilities (<500)	76.8	4.93	<0.0001
No public transportation	10	60	<0.0001
Availability of green space	26	14	<0.05

^aNeighbourhood characteristics of profile “E” and “C” which composed cluster of high risk
^bNeighbourhood characteristic of profile “A” which composed cluster of low risk
^c ZEP Priority education zones: where establishments receive additional resources, and have greater autonomy for dealing with educational and social difficulties
* Khi test

ISSN: 1476-072X