کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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2798990 | 1155710 | 2007 | 7 صفحه PDF | دانلود رایگان |
With the aim to survey the seasonal pattern of diagnosis of type 1 diabetes we included all 1903 children <16 years of age and who had been diagnosed with type 1 diabetes between 1977 and 2001 in the south-east of Sweden. To investigate the seasonal pattern a mixture of two cosine functions was included in a logistic regression model.There was a clear seasonal variation over the years (p < 0.001). Children in the oldest age group (11–15 years) showed the most obvious seasonal variation (p < 0.001). Children with a short duration of symptoms had about the same seasonal variation as children with a long duration. Both children with and without an infection 3 months prior to diagnosis showed significant seasonal variation (p < 0.001) although the seasonal pattern differed between the two groups (p < 0.001). As the incidence of diabetes increased during the 25 years the study period was divided into periods of 5 years and it was only during the two last periods that significant seasonal variation occurred.There is a clear seasonal variation in diagnosis of type 1 diagnosis in children and the results suggest that children with a less aggressive disease process at diagnosis were most responsible for this variation. Children with and without prior infection showed a different seasonal pattern.
Journal: Diabetes Research and Clinical Practice - Volume 76, Issue 1, April 2007, Pages 75–81