Pooling results over centers, there was significant seasonal variation in each age-group at diagnosis, with least seasonal variation in those under 5 yr. However, most centers showed significant departures from a sinusoidal pattern. Significant sinusoidal pattern was evident in all but two small centers with peaks in November to February and relative amplitudes ranging from ± 11 to ± 38% (median ± 17%).
#MR CHILDREN 1989 SERIES#
Time series regression was used to investigate if sunshine hour and average temperature data were predictive of the 240 monthly diagnosis counts after taking account of seasonality and long term trends. Tests for seasonal variation in monthly counts aggregated over the 20 yr period were performed. We describe the pattern and investigate if year-to-year irregularities are associated with meteorological factors using data from 50 000 children diagnosed under the age of 15 yr in 23 population-based European registries during 1989-2008. The month of diagnosis in childhood type 1 diabetes shows seasonal variation.
#MR CHILDREN 1989 FREE#