Geographical clustering of incident acute myocardial infarction in Denmark

A spatial analysis approach

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Resumé

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.
OriginalsprogEngelsk
TidsskriftSpatial and Spatio-temporal Epidemiology
Vol/bind19
Sider (fra-til)46–59
ISSN1877-5845
DOI
StatusUdgivet - 2016

Emneord

  • Acute myocardial infarction
  • Spatial statistics
  • Clustering
  • Registers
  • Socioeconomic position

Citer dette

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title = "Geographical clustering of incident acute myocardial infarction in Denmark: A spatial analysis approach",
abstract = "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.",
keywords = "Acute myocardial infarction, Spatial statistics, Clustering, Registers, Socioeconomic position",
author = "Kj{\ae}rulff, {Thora Majlund} and Ersb{\o}ll, {Annette Kj{\ae}r} and Gunnar Gislason and Jasper Schipperijn",
year = "2016",
doi = "10.1016/j.sste.2016.05.001",
language = "English",
volume = "19",
pages = "46–59",
journal = "Spatial and Spatio-temporal Epidemiology",
issn = "1877-5845",
publisher = "Elsevier",

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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

PY - 2016

Y1 - 2016

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 - Acute myocardial infarction

KW - Spatial statistics

KW - Clustering

KW - Registers

KW - Socioeconomic position

U2 - 10.1016/j.sste.2016.05.001

DO - 10.1016/j.sste.2016.05.001

M3 - Journal article

VL - 19

SP - 46

EP - 59

JO - Spatial and Spatio-temporal Epidemiology

JF - Spatial and Spatio-temporal Epidemiology

SN - 1877-5845

ER -