Geographical clustering of incident acute myocardial infarction in Denmark

Geographical clustering of incident acute myocardial infarction in Denmark: A spatial analysis approach

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Standard

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

Harvard

Kjærulff, TM, Ersbøll, AK, Gislason, G & Schipperijn, J 2016, 'Geographical clustering of incident acute myocardial infarction in Denmark: A spatial analysis approach', Spatial and Spatio-temporal Epidemiology, bind 19, s. 46-59. https://doi.org/10.1016/j.sste.2016.05.001

APA

Kjærulff, T. M., Ersbøll, A. K., Gislason, G., & Schipperijn, J. (2016). Geographical clustering of incident acute myocardial infarction in Denmark: A spatial analysis approach. Spatial and Spatio-temporal Epidemiology, 19, 46-59. https://doi.org/10.1016/j.sste.2016.05.001

Vancouver

Kjærulff TM, Ersbøll AK, Gislason G, Schipperijn J. Geographical clustering of incident acute myocardial infarction in Denmark: A spatial analysis approach. Spatial and Spatio-temporal Epidemiology. 2016 nov.;19:46-59. https://doi.org/10.1016/j.sste.2016.05.001

Author

Kjærulff, Thora Majlund ; Ersbøll, Annette Kjær ; Gislason, Gunnar ; Schipperijn, Jasper. / Geographical clustering of incident acute myocardial infarction in Denmark : A spatial analysis approach. I: Spatial and Spatio-temporal Epidemiology. 2016 ; Bind 19. s. 46-59.

Bibtex

@article{a929e8698a28416fabbd9fdbbdf932e3,

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 = "Journal Article",

author = "Kj{\ae}rulff, {Thora Majlund} and Ersb{\o}ll, {Annette Kj{\ae}r} and Gunnar Gislason and Jasper Schipperijn",

year = "2016",

month = nov,

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",

}

RIS

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 - 2016/11

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