Geographical clustering of incident acute myocardial infarction in Denmark: A spatial analysis approach
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Geographical clustering of incident acute myocardial infarction in Denmark : A spatial analysis approach. / Kjærulff, Thora Majlund; Ersbøll, Annette Kjær; Gislason, Gunnar; Schipperijn, Jasper.
I: Spatial and Spatio-temporal Epidemiology, Bind 19, 11.2016, s. 46-59.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Geographical clustering of incident acute myocardial infarction in Denmark
T2 - A spatial analysis approach
AU - Kjærulff, Thora Majlund
AU - Ersbøll, Annette Kjær
AU - Gislason, Gunnar
AU - Schipperijn, Jasper
N1 - Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
PY - 2016/11
Y1 - 2016/11
N2 - OBJECTIVES: To examine the geographical patterns in AMI and characterize individual and neighborhood sociodemographic factors for persons living inside versus outside AMI clusters.METHODS: The study population comprised 3,515,670 adults out of whom 74,126 persons experienced an incident AMI (2005-2011). Kernel density estimation and global and local clustering methods were used to examine the geographical patterns in AMI. Median differences and frequency distributions of sociodemographic factors were calculated for persons living inside versus outside AMI clusters.RESULTS: Global clustering of AMI occurred in Denmark. Throughout the country, 112 significant clusters with high risk of incident AMI were identified. The relative risk of AMI in significant clusters ranged from 1.45 to 47.43 (median=4.84). Individual and neighborhood socioeconomic position was markedly lower for persons living inside versus outside AMI clusters.CONCLUSIONS: AMI is geographically unequally distributed throughout Denmark and determinants of these geographical patterns might include individual- and neighborhood-level sociodemographic factors.
AB - OBJECTIVES: To examine the geographical patterns in AMI and characterize individual and neighborhood sociodemographic factors for persons living inside versus outside AMI clusters.METHODS: The study population comprised 3,515,670 adults out of whom 74,126 persons experienced an incident AMI (2005-2011). Kernel density estimation and global and local clustering methods were used to examine the geographical patterns in AMI. Median differences and frequency distributions of sociodemographic factors were calculated for persons living inside versus outside AMI clusters.RESULTS: Global clustering of AMI occurred in Denmark. Throughout the country, 112 significant clusters with high risk of incident AMI were identified. The relative risk of AMI in significant clusters ranged from 1.45 to 47.43 (median=4.84). Individual and neighborhood socioeconomic position was markedly lower for persons living inside versus outside AMI clusters.CONCLUSIONS: AMI is geographically unequally distributed throughout Denmark and determinants of these geographical patterns might include individual- and neighborhood-level sociodemographic factors.
KW - Journal Article
U2 - 10.1016/j.sste.2016.05.001
DO - 10.1016/j.sste.2016.05.001
M3 - Journal article
C2 - 27839580
VL - 19
SP - 46
EP - 59
JO - Spatial and Spatio-temporal Epidemiology
JF - Spatial and Spatio-temporal Epidemiology
SN - 1877-5845
ER -
ID: 177528699