Space-time clustering analyses of type 1 XXXX among 0- to 29-year-olds in Yorkshire, UK.

@entity1 @entity281 @entity6
AIMS/HYPOTHESIS: Infections have been suggested to play a role in the aetiology of type 1 @entity6 . The presence of space-time clustering is consistent with the notion of an environmental component in disease aetiology, possibly linked to @entity281 . We tested for evidence of space-time clustering among @entity1 and young adults under 30 years of age using data from a population-based register in Yorkshire, UK. SUBJECTS AND METHODS: Two data sets of @entity1 and young @entity1 diagnosed with type 1 @entity6 were analysed: (1) @entity1 aged 0-14 years and resident in Yorkshire during 1978-2002; (2) those aged 15-29 years and resident in West Yorkshire during 1991-2002. Tests for space-time interactions between cases were applied. Addresses at diagnosis were geo-coded and used as the basis for the analyses. RESULTS: The study analysed 3,019 type 1 @entity6 @entity1 in the 0-14 years age group and 989 @entity1 in the 15-29 years group. Statistically significant space-time clustering based on place and time of diagnosis was detected both for the 10-14-year-olds (p=0.04) and for the 15-19-year-olds (p=0.01). CONCLUSIONS/INTERPRETATION: Previous studies of clustering of type 1 @entity6 have generally been restricted to childhood. Our results from a data set that includes teenagers and young adults show that space-time clustering was limited to young @entity1 aged 10-19 years. This finding is consistent with an aetiology involving late exposure to @entity281 . However, the question of whether this is directly diabetogenic or unmasks @entity6 cannot be addressed by this methodology.
