Geographical mapping of type 1 diabetes in children and adolescents in south east Sweden.
OBJECTIVE
As earlier studies have shown space-time clusters at onset of type 1 diabetes in the south east region of Sweden we investigated if there also has been any geographical clusters of diabetes in this region.


METHODS
The place of residence (coordinates) at the time of diagnosis were geocoded in a geographical information system (GIS). All children diagnosed with type 1 diabetes up to 16 years of age at diagnosis between 1977-1995 were included. The population at risk was obtained directly from the population registry for the respective years and geographical area levels.


METHODS
South east region of Sweden containing 5 counties, 49 municipalities, and 525 parishes.


RESULTS
A significant geographical variation in incidence rate were found between the municipalities (p<0.001) but not between the counties. The variation became somewhat weaker when excluding the six largest municipalities (p<0.02). In municipalities with increased risk (>35.1/100 000) the major contribution comes from children in age group 6-10 years of age at diagnosis. There were no obvious differences between the age groups in municipalities with decreased risk (<20.1/100 000). Boys and girls had about the same degree of geographical variation.


CONCLUSIONS
Apart from chance, the most probable explanation for the geographical variation in the risk for children and adolescents to develop type 1 diabetes between the municipalities in the region is that local environmental factors play a part in the process leading to the disease.
Samuelsson
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U
Division of Paediatrics, Department of Molecular and Clinical Medicine, University Hospital, S-581 85 Linköping, Sweden. ulf.samuelsson@lio.se
Löfman
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O
D000293:Adolescent; D017677:Age Distribution; D002648:Child; D002675:Child, Preschool; D003922:Diabetes Mellitus, Type 1 / Q000453:epidemiology*; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D015994:Incidence; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D012307:Risk Factors; D013029:Space-Time Clustering; D013548:Sweden / Q000453:epidemiology