XXXX Does Not Influence Fracture Risk in Young @entity1 with  Type 1 @entity6 .

@entity1 @entity3604 @entity1593 @entity6 @entity174 @entity1723 @entity572
OBJECTIVES: To examine the risk of any @entity174 in @entity1 with both @entity1723 ( @entity1723 ) and @entity1593 ( @entity1593 ) vs @entity1 with @entity1723 only. STUDY DESIGN: We performed a population-based cohort study. We defined @entity1723 as individuals aged  <=30  years who had a diagnosis of @entity6 recorded in the Swedish National @entity1 Register between 1964 and 2009. Individuals with @entity1593 were identified through biopsy report data between 1969 and 2008 from any of Sweden's 28 pathology departments. Some 958 individuals had both @entity1723 and @entity1593 and were matched for sex, age, and calendar period with 4598 reference individuals with @entity1723 only. We then used a stratified Cox regression analysis, where @entity1593 was modeled as a time-dependent covariate, to estimate the risk of any @entity174 and @entity3604 ( @entity572 , distal forearm, thoracic and lumbar spine, and proximal humerus) in @entity1 with both @entity1723 and @entity1593 compared with that in @entity1 with @entity1723 only. RESULTS: During follow-up, 12 @entity1 with @entity1723 and @entity1593 had a @entity174 (1 @entity3604 ). @entity1593 did not influence the risk of any @entity174 (adjusted hazard ratio  =  0.77; 95% CI  =  0.42-1.41) or @entity3604 (adjusted hazard ratio  =  0.46; 95% CI  =  0.06-3.51) in @entity1 with @entity1723 . Stratification for time since @entity1593 diagnosis did not affect risk estimates. CONCLUSION: Having a diagnosis of @entity1593 does not seem to influence @entity174 risk in young @entity1 with @entity1723 . Follow-up in this study was, however, too short to ascertain @entity3604 which traditionally occur in old age.
