ISSN 1662-4009 (online)

ey0019.13-9 | Diabetes | ESPEYB19

13.9. Global estimates of incidence of type 1 diabetes in children and adolescents: results from the International Diabetes Federation atlas, 10th edition

GD Ogle , S James , D Dabelea , C Pihoker , J Svennson , J Maniam , EL Klatman , CC Patterson

grahamo@diabetesnsw.com.au Diabetes Res Clin Pract 2022, 183:109083. doi: 10.1016/j.diabres.2021.109083Brief Summary: The incidence of Type 1 diabetes (T1D) in children and adolescents is increasing in many nations. The 10th edition of the International Diabetes Federation Atlas reports that an estimated 108,300 youth aged < 15 years a...

ey0020.11-10 | Diabetes | ESPEYB20

11.10. Type 1 diabetes in diverse ancestries and the use of genetic risk scores

MJ Redondo , CR Gignoux , D Dabelea , WA Hagopian , S Onengut-Gumuscu , RA Oram , SS Rich

Brief summary: This review article discusses the influence of genetics on type 1 diabetes (T1D), particularly with regard to differences across diverse genetic ancestries, and the development of validated genetic risk scores (GRS) for use various populations. These may contribute to disease prevention and treatment.The autoimmune destruction of pancreatic beta cells is triggered by the interaction of genetic predisposition and environmental factors. T1D ...

ey0016.10-11 | (1) | ESPEYB16

10.11. Changes in diabetes medication regimens and glycemic control in adolescents and young adults with youth-onset type 2 diabetes: The SEARCH for diabetes in youth study

CA Pinto , JM Stafford , T Wang , RR Shankar , JM Lawrence , G Kim , C Pihoker , RB Jr D'Agostino , D Dabelea

Pediatr Diabetes. 2018 May 15. doi: 10.1111/pedi.12691There is a small but significant debate as to whether or not type 1 (T1D) and type 2 diabetes (T2D) are the same disease with albeit different course. It might therefore be prudent to include into a chapter on T1D a publication on T2D. This study aimed to describe recent medication patterns and changes in medication patterns and glycemic con...

ey0018.12-5 | Type 2 Diabetes | ESPEYB18

12.5. Cognitive function in adolescents and young adults with youth-onset type 1 versus type 2 diabetes: the search for diabetes in youth study

ALB Shapiro , D Dabelea , JM Stafford , R Jr D'Agostino , C Pihoker , AD Liese , AS Shah , A Bellatorre , JM Lawrence , L Henkin , S Saydah

Diabetes Care. 2021 Apr 26:dc202308. doi: 10.2337/dc20-2308. PMID: 33905344.In brief: The multicenter SEARCH for Diabetes in Youth Study assessed cognitive function in adolescents and young adults with type 1 diabetes mellitus (T1DM) (n=1095) or T2DM (n=285). Mean age was 21.6±5.1 years and mean diabetes duration 11.0±3.4 years. Having T2DM was associated wit...

ey0019.7-5 | Clinical Guidance | ESPEYB19

7.5. Analysis of early-life growth and age at pubertal onset in US children

IM Aris , W Perng , D Dabelea , JM Ganiban , C Liu , K Marceau , OC Robertson , CW Hockett , NL Mihalopoulos , X Kong , MM Herting , TM O'Shea , ET Jensen , MF Hivert , E Oken

Program Collaborators for Environmental Influences on Child Health OutcomesJAMA Netw Open. 2022 Feb 1;5(2):e2146873. doi: 10.1001/jamanetworkopen.2021.46873. PMID: 35119461https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2788643/Brief Summary: This study describes the correlation between...

ey0019.15-5 | Diabetes | ESPEYB19

15.5. Trends in prevalence of type 1 and type 2 diabetes in children and adolescents in the US, 2001-2017

JM Lawrence , J Divers , S Isom , S Saydah , G Imperatore , C Pihoker , SM Marcovina , EJ Mayer-Davis , RF Hamman , L Dolan , D Dabelea , DJ Pettitt , AD Liese , Group SfDiYS

JAMA. 2021;326(8):717-27. doi: 10.1001/jama.2021.11165.PubMed ID: 34427600Brief summary: This large repeated cross-sectional study identified all individuals aged <20 years with physician-diagnosed diabetes in 6 areas in the US in 2001, 2009, and 2017. Over these 16 years, the prevalence of Type 1 diabetes (T1D) increased by 45% (95% CI, 40%–50%) and the prevalence of Type 2 diabetes...

ey0020.8-7 | Important for Clinical Practice | ESPEYB20

8.7. Diabetes stigma and clinical outcomes in adolescents and young adults: The SEARCH for diabetes in youth study

KB Eitel , AJ Roberts , R D'Agostino , CE Barrett , RA Bell , A Bellatorre , A Cristello , D Dabelea , LM Dolan , ET Jensen , AD Liese , EJ Mayer-Davis , K Reynolds , SM Marcovina , C Pihoker

Brief summary: Using data collected from 1608 adolescents and young adults (aged 10–24.9 years) with type 1 or type 2 diabetes recruited in the SEARCH for Diabetes in Youth study, this study assessed the cross-sectional association between diabetes stigma and diabetes outcomes. Diabetes stigma was more common among females and was associated with suboptimal glycemic outcomes and acute and chronic complications.Stigma, defined as a negative social ju...

ey0020.10-1 | New Data on the Epidemiology of T2D in Children | ESPEYB20

10.1. Trends in incidence of youth-onset type 1 and type 2 diabetes in the USA, 2002-18: results from the population-based SEARCH for Diabetes in Youth study

LE Wagenknecht , JM Lawrence , S Isom , ET Jensen , D Dabelea , AD Liese , LM Dolan , AS Shah , A Bellatorre , K Sauder , S Marcovina , K Reynolds , C Pihoker , G Imperatore , J Divers , SEARCH for Diabetes in Youth Study Divers

Brief summary: The incidences of T1D and T2D in children and young people increased in the USA over the last 2 decades. For the first time, the incidence of T2D has surpassed that of T1D.Comment: The SEARCH study has served as a national resource to explore the epidemiology and consequences of diabetes in the US. Published over the years, the findings contribute to understanding future trends in other parts of the world. Overall, the current report shows...

ey0019.10-16 | Genetics | ESPEYB19

10.16. Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes

CC Robertson , JRJ Inshaw , S Onengut-Gumuscu , WM Chen , Cruz DF Santa , H Yang , AJ Cutler , DJM Crouch , E Farber , SL Jr Bridges , JC Edberg , RP Kimberly , JH Buckner , P Deloukas , J Divers , D Dabelea , JM Lawrence , S Marcovina , AS Shah , CJ Greenbaum , MA Atkinson , PK Gregersen , JR Oksenberg , F Pociot , MJ Rewers , AK Steck , DB; Type 1 Diabetes Genetics Consortium Dunger , LS Wicker , P Concannon , JA Todd , SS Rich

Nat Genet. 2021 Jul;53(7):962-971. https://pubmed.ncbi.nlm.nih.gov/34127860/Brief Summary: The authors report the largest and most diverse genome-wide association study (GWAS) of type 1 diabetes (T1D) to date, including 61,427 participants from different ancestries. It identified 78 significant genomic regions associated with T1D, of which 36 were new. The integration of genetic evidence, f...