Literature DB >> 30483858

Trends and cyclical variation in the incidence of childhood type 1 diabetes in 26 European centres in the 25 year period 1989-2013: a multicentre prospective registration study.

Christopher C Patterson1, Valma Harjutsalo2, Joachim Rosenbauer3, Andreas Neu4, Ondrej Cinek5, Torild Skrivarhaug6, Birgit Rami-Merhar7, Gyula Soltesz8, Jannet Svensson9, Roger C Parslow10, Conxa Castell11, Eugen J Schoenle12, Polly J Bingley13, Gisela Dahlquist14, Przemysława K Jarosz-Chobot15, Dalė Marčiulionytė16,17, Edna F Roche18, Ulrike Rothe19, Natasa Bratina20, Constantin Ionescu-Tirgoviste21, Ilse Weets22, Mirjana Kocova23, Valentino Cherubini24, Natasa Rojnic Putarek25, Carine E deBeaufort26, Mira Samardzic27, Anders Green28.   

Abstract

AIMS/HYPOTHESIS: Against a background of a near-universally increasing incidence of childhood type 1 diabetes, recent reports from some countries suggest a slowing in this increase. Occasional reports also describe cyclical variations in incidence, with periodicities of between 4 and 6 years.
METHODS: Age/sex-standardised incidence rates for the 0- to 14-year-old age group are reported for 26 European centres (representing 22 countries) that have registered newly diagnosed individuals in geographically defined regions for up to 25 years during the period 1989-2013. Poisson regression was used to estimate rates of increase and test for cyclical patterns. Joinpoint regression software was used to fit segmented log-linear relationships to incidence trends.
RESULTS: Significant increases in incidence were noted in all but two small centres, with a maximum rate of increase of 6.6% per annum in a Polish centre. Several centres in high-incidence countries showed reducing rates of increase in more recent years. Despite this, a pooled analysis across all centres revealed a 3.4% (95% CI 2.8%, 3.9%) per annum increase in incidence rate, although there was some suggestion of a reduced rate of increase in the 2004-2008 period. Rates of increase were similar in boys and girls in the 0- to 4-year-old age group (3.7% and 3.7% per annum, respectively) and in the 5- to 9-year-old age group (3.4% and 3.7% per annum, respectively), but were higher in boys than girls in the 10- to 14-year-old age group (3.3% and 2.6% per annum, respectively). Significant 4 year periodicity was detected in four centres, with three centres showing that the most recent peak in fitted rates occurred in 2012. CONCLUSIONS/
INTERPRETATION: Despite reductions in the rate of increase in some high-risk countries, the pooled estimate across centres continues to show a 3.4% increase per annum in incidence rate, suggesting a doubling in incidence rate within approximately 20 years in Europe. Although four centres showed support for a cyclical pattern of incidence with a 4 year periodicity, no plausible explanation for this can be given.

Entities:  

Keywords:  Cyclical variation; Epidemiology; Incidence; Temporal change; Type 1 diabetes mellitus

Mesh:

Year:  2018        PMID: 30483858     DOI: 10.1007/s00125-018-4763-3

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  32 in total

1.  Cyclical variation in type 1 childhood diabetes.

Authors:  Richard J Q McNally; Simon Court; Peter W James; Raymond Pollock; Karen Blakey; Mike Begon; Tim D Cheetham
Journal:  Epidemiology       Date:  2010-11       Impact factor: 4.822

2.  Seasonal influenza in the United States, France, and Australia: transmission and prospects for control.

Authors:  G Chowell; M A Miller; C Viboud
Journal:  Epidemiol Infect       Date:  2007-07-18       Impact factor: 2.451

3.  Incidence of type 1 diabetes in Finland.

Authors:  Valma Harjutsalo; Reijo Sund; Mikael Knip; Per-Henrik Groop
Journal:  JAMA       Date:  2013-07-24       Impact factor: 56.272

4.  Prediction of IDDM in the general population: strategies based on combinations of autoantibody markers.

Authors:  P J Bingley; E Bonifacio; A J Williams; S Genovese; G F Bottazzo; E A Gale
Journal:  Diabetes       Date:  1997-11       Impact factor: 9.461

5.  Incidence and trends of childhood Type 1 diabetes worldwide 1990-1999.

Authors: 
Journal:  Diabet Med       Date:  2006-08       Impact factor: 4.359

6.  Type 1 diabetes incidence and prevalence trends in a cohort of Canadian children and youth.

Authors:  Danya A Fox; Nazrul Islam; Jenny Sutherland; Kim Reimer; Shazhan Amed
Journal:  Pediatr Diabetes       Date:  2017-08-31       Impact factor: 4.866

7.  No change in type 2 diabetes prevalence in children and adolescents over 10 years: Update of a population-based survey in South Germany.

Authors:  A Neu; L Feldhahn; S Ehehalt; J Ziegler; U Rothe; J Rosenbauer; R W Holl
Journal:  Pediatr Diabetes       Date:  2017-12-12       Impact factor: 4.866

8.  Type 2 diabetes mellitus in Danish children and adolescents in 2014.

Authors:  Ida Margrethe Bach Oester; Julie Tonsgaard Kloppenborg; Birthe Susanne Olsen; Jesper Johannesen
Journal:  Pediatr Diabetes       Date:  2015-06-26       Impact factor: 4.866

9.  Updated 24-year trend of Type 1 diabetes incidence in children in Poland reveals a sinusoidal pattern and sustained increase.

Authors:  A Chobot; J Polanska; A Brandt; G Deja; B Glowinska-Olszewska; O Pilecki; A Szadkowska; M Mysliwiec; P Jarosz-Chobot
Journal:  Diabet Med       Date:  2017-03-19       Impact factor: 4.359

10.  Regular peaks and troughs in the Australian incidence of childhood type 1 diabetes mellitus (2000-2011).

Authors:  Aveni Haynes; Max K Bulsara; Carol Bower; Timothy W Jones; Elizabeth A Davis
Journal:  Diabetologia       Date:  2015-07-31       Impact factor: 10.122

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Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
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Authors:  Justine Tanoey; Amit Gulati; Chris Patterson; Heiko Becher
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Review 3.  Type 1 diabetes-early life origins and changing epidemiology.

Authors:  Jill M Norris; Randi K Johnson; Lars C Stene
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4.  Inauguration of another pyramid: the Sudan Childhood Diabetes Center.

Authors:  Mustafa Abdalla M Salih; Mohammed Osman Swar
Journal:  Sudan J Paediatr       Date:  2019

5.  Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes.

Authors:  Revital Nimri; Tadej Battelino; Lori M Laffel; Robert H Slover; Desmond Schatz; Stuart A Weinzimer; Klemen Dovc; Thomas Danne; Moshe Phillip
Journal:  Nat Med       Date:  2020-09-09       Impact factor: 53.440

6.  12(S)-HETE mediates diabetes-induced endothelial dysfunction by activating intracellular endothelial cell TRPV1.

Authors:  Mandy Otto; Clarissa Bucher; Wantao Liu; Melanie Müller; Tobias Schmidt; Marina Kardell; Marvin Noel Driessen; Jan Rossaint; Eric R Gross; Nana-Maria Wagner
Journal:  J Clin Invest       Date:  2020-09-01       Impact factor: 14.808

7.  The CD137 Ligand Is Important for Type 1 Diabetes Development but Dispensable for the Homeostasis of Disease-Suppressive CD137+ FOXP3+ Regulatory CD4 T Cells.

Authors:  Bardees M Foda; Ashley E Ciecko; David V Serreze; William M Ridgway; Aron M Geurts; Yi-Guang Chen
Journal:  J Immunol       Date:  2020-04-15       Impact factor: 5.422

Review 8.  Pancreatic β-cells in type 1 and type 2 diabetes mellitus: different pathways to failure.

Authors:  Décio L Eizirik; Lorenzo Pasquali; Miriam Cnop
Journal:  Nat Rev Endocrinol       Date:  2020-05-12       Impact factor: 43.330

Review 9.  New Frontiers in the Treatment of Type 1 Diabetes.

Authors:  Jeremy T Warshauer; Jeffrey A Bluestone; Mark S Anderson
Journal:  Cell Metab       Date:  2019-12-12       Impact factor: 27.287

10.  What do we know about the trends in incidence of childhood-onset type 1 diabetes?

Authors:  Jean M Lawrence; Elizabeth J Mayer-Davis
Journal:  Diabetologia       Date:  2018-12-19       Impact factor: 10.122

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