UNLABELLED: This study was performed to investigate whether the body mass index (BMI) of diabetic children at manifestation is related to the non-random risk distribution in Austria and whether there is an association with the BMI of the background population. All newly diagnosed cases aged <15 years (n=1644) from 1989 to 2000 were allocated to districts using the postal code. BMI at the time of diagnosis was derived from the Austrian incidence data sheet in 99.3% of the registered cases. Data on BMI of the whole population >14 years of age for the year 1991 and birth weight for the years 1989-1999 were derived from Statistics Austria. Linear regression as well as ecological regression (Poisson) models with correction for non-linearity were used. BMI at diabetes manifestation was positively associated with year of diagnosis (P<0.05) and the age at diagnosis (P<0.01). An increase in BMI when moving from West to East (P<0.01) and a higher BMI at diagnosis in boys than girls (P<0.01) was observed. The ecological regression model showed a positive significant association of BMI in newborns and a positive trend of BMI in the background population with incidence rates. CONCLUSION: our data support the hypothesis that obesity may be a risk factor not only for type 2 but for type 1 in children acting as an accelerator for the clinical manifestation.
UNLABELLED: This study was performed to investigate whether the body mass index (BMI) of diabeticchildren at manifestation is related to the non-random risk distribution in Austria and whether there is an association with the BMI of the background population. All newly diagnosed cases aged <15 years (n=1644) from 1989 to 2000 were allocated to districts using the postal code. BMI at the time of diagnosis was derived from the Austrian incidence data sheet in 99.3% of the registered cases. Data on BMI of the whole population >14 years of age for the year 1991 and birth weight for the years 1989-1999 were derived from Statistics Austria. Linear regression as well as ecological regression (Poisson) models with correction for non-linearity were used. BMI at diabetes manifestation was positively associated with year of diagnosis (P<0.05) and the age at diagnosis (P<0.01). An increase in BMI when moving from West to East (P<0.01) and a higher BMI at diagnosis in boys than girls (P<0.01) was observed. The ecological regression model showed a positive significant association of BMI in newborns and a positive trend of BMI in the background population with incidence rates. CONCLUSION: our data support the hypothesis that obesity may be a risk factor not only for type 2 but for type 1 in children acting as an accelerator for the clinical manifestation.
Authors: Angela D Liese; Andrew Lawson; Hae-Ryoung Song; James D Hibbert; Dwayne E Porter; Michele Nichols; Archana P Lamichhane; Dana Dabelea; Elizabeth J Mayer-Davis; Debra Standiford; Lenna Liu; Richard F Hamman; Ralph B D'Agostino Journal: Health Place Date: 2010-01-15 Impact factor: 4.078
Authors: M M Lamb; X Yin; G O Zerbe; G J Klingensmith; D Dabelea; T E Fingerlin; M Rewers; J M Norris Journal: Diabetologia Date: 2009-06-23 Impact factor: 10.122
Authors: A Carlsson; I Kockum; B Lindblad; L Engleson; A Nilsson; G Forsander; A-K Karlsson; A Kernell; J Ludvigsson; C Marcus; I Zachrisson; S-A Ivarsson; A Lernmark Journal: Int J Obes (Lond) Date: 2011-06-28 Impact factor: 5.095
Authors: Soha M Abd El Dayem; Ahmed A Battah; Abo El Maged El Bohy; Rash Nazih Yousef; Azza M Ahmed; Ahmed A Talaat Journal: Open Access Maced J Med Sci Date: 2017-12-04