Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Aug;46(6):647-658.
doi: 10.1177/1403494818780845. Epub 2018 Jun 18.

Exploring Spatial Patterns of Cardiovascular Disease in Sweden Between 2000 and 2010

Affiliations
Free PMC article

Exploring Spatial Patterns of Cardiovascular Disease in Sweden Between 2000 and 2010

Mohammadreza Rajabi et al. Scand J Public Health. .
Free PMC article

Abstract

Aims: Cardiovascular disease (CVD) is one of the leading causes of mortality and morbidity worldwide, including in Sweden. The main aim of this study was to explore the temporal trends and spatial patterns of CVD in Sweden using spatial autocorrelation analyses.

Methods: The CVD admission rates between 2000 and 2010 throughout Sweden were entered as the input disease data for the analytic processes performed for the Swedish capital, Stockholm, and also for the whole of Sweden. Age-adjusted admission rates were calculated using a direct standardisation approach for men and women, and temporal trends analysis were performed on the standardised rates. Global Moran's I was used to explore the structure of patterns and Anselin's local Moran's I, together with Kulldorff's scan statistic were applied to explore the geographical patterns of admission rates.

Results: The rates followed a spatially clustered pattern in Sweden with differences occurring between sexes. Accordingly, hot spots were identified in northern Sweden, with higher intensity identified for men, together with clusters in central Sweden. Cold spots were identified in the adjacency of the three major Swedish cities of Stockholm, Gothenburg and Malmö.

Conclusions: The findings of this study can serve as a basis for distribution of health-care resources, preventive measures and exploration of aetiological factors.

Keywords: Cardiovascular disease; disease clusters; spatial analysis; spatial autocorrelation analysis; temporal trends.

Figures

Figure 1-
Figure 1-
Temporal trends for the age-adjusted CVD admission rates (per 100,000) between 2000–2010 ^ The Annual Percent Change (APC) is significantly different from zero at alpha = 0.05 Final Selected Model: Male - 0 Joinpoints. Female- 0 Joinpoints. Rejected Coincidence.
Figure 2-
Figure 2-
clusters of CVD admission rates during 2000–2010 in Sweden (a) hot spots for males (b) cold spots for males (c) hot spots for females (d) cold spots for males
Figure 3-
Figure 3-
clusters of CVD admission rates during 2000–2010 in Stockholm (a) hot spots for males (b) cold spots for males (c) hot spots for females (d) cold spots for males.

Similar articles

See all similar articles

Cited by 1 article

LinkOut - more resources

Feedback