Literature DB >> 28257151

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

A Chobot1, J Polanska2, A Brandt3, G Deja4, B Glowinska-Olszewska5, O Pilecki6, A Szadkowska7, M Mysliwiec3, P Jarosz-Chobot4.   

Abstract

AIMS: To present the incidence trend for Type 1 diabetes in Polish children aged 0-14 years, updated using data collected during 2005-2012, and assess the reliability of the predictive model constructed previously using the 1989-2004 database.
METHODS: Children aged < 15 years with newly diagnosed Type 1 diabetes are recorded prospectively (EURODIAB criteria) in several regional registers in Poland. Age- and gender-standardized incidence rates for Type 1 diabetes were calculated per 100 000 persons/year. Incidence rates were analysed in terms of the dependency on age, gender, geographical region and population density. Incidence rate trends over time were modelled using generalized linear models.
RESULTS: The mean standardized incidence for 1989-2012 was 12.72 per 100 000 persons/year [95% confidence interval (CI), 11.35 to 14.21]. Over the 24-year observation period, the incidence increased from 5.36 to 22.74 per 100 000 persons/year. The lowest incidence rate was in children aged 0-4 years (8.35, 95% CI 7.27 to 9.57 per 100 000 persons/year). There was no difference between genders, or urban and rural regions. Incidence rates were higher in northern compared with southern Poland [14.04 (95% CI 12.59 to 15.63) vs. 11.94 (95% CI 10.62 to 13.39) per 100 000 persons/year]. The new data corrected the earlier predictive model by changing the estimates of some factors related to patient age, gender and their interactions with the remaining factors. The incidence rate shows periodic 5.33-year fluctuations. The periodicity component allows for a more accurate prediction of the incidence rate over time.
CONCLUSIONS: This cohort study reveals a sustained increase in Type 1 diabetes incidence in Polish children aged 0-14 years with regular, sinusoidal fluctuations and a slight levelling off in past few years. It is of concern that are the highest increases in incidence are found in children aged 0-4 years.
© 2017 Diabetes UK.

Entities:  

Mesh:

Year:  2017        PMID: 28257151     DOI: 10.1111/dme.13345

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  16 in total

Review 1.  When Sugar Reaches the Liver: Phenotypes of Patients with Diabetes and NAFLD.

Authors:  Alba Rojano-Toimil; Jesús Rivera-Esteban; Ramiro Manzano-Nuñez; Juan Bañares; David Martinez Selva; Pablo Gabriel-Medina; Roser Ferrer; Juan M Pericàs; Andreea Ciudin
Journal:  J Clin Med       Date:  2022-06-08       Impact factor: 4.964

2.  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.

Authors:  Christopher C Patterson; Valma Harjutsalo; Joachim Rosenbauer; Andreas Neu; Ondrej Cinek; Torild Skrivarhaug; Birgit Rami-Merhar; Gyula Soltesz; Jannet Svensson; Roger C Parslow; Conxa Castell; Eugen J Schoenle; Polly J Bingley; Gisela Dahlquist; Przemysława K Jarosz-Chobot; Dalė Marčiulionytė; Edna F Roche; Ulrike Rothe; Natasa Bratina; Constantin Ionescu-Tirgoviste; Ilse Weets; Mirjana Kocova; Valentino Cherubini; Natasa Rojnic Putarek; Carine E deBeaufort; Mira Samardzic; Anders Green
Journal:  Diabetologia       Date:  2018-11-28       Impact factor: 10.122

Review 3.  The Effect of Age on the Progression and Severity of Type 1 Diabetes: Potential Effects on Disease Mechanisms.

Authors:  Pia Leete; Roberto Mallone; Sarah J Richardson; Jay M Sosenko; Maria J Redondo; Carmella Evans-Molina
Journal:  Curr Diab Rep       Date:  2018-09-26       Impact factor: 4.810

Review 4.  Overlooked Mechanisms in Type 1 Diabetes Etiology: How Unique Costimulatory Molecules Contribute to Diabetogenesis.

Authors:  David H Wagner
Journal:  Front Endocrinol (Lausanne)       Date:  2017-08-23       Impact factor: 5.555

Review 5.  Global and regional estimates of the morbidity due to type I diabetes among children aged 0-4 years: a systematic review and analysis.

Authors:  Davies Adeloye; Kit Yee Chan; Natasha Thorley; Charlotte Jones; David Johnstone; Ari L'Heveder; Vanja Saftic; David Henderson; Mickey Chopra; Harry Campbell; Igor Rudan
Journal:  J Glob Health       Date:  2018-12       Impact factor: 4.413

6.  The Empowerment of Adolescents with Type 1 Diabetes Is Associated with Their Executive Functions.

Authors:  Włodzimierz Łuczyński; Izabela Łazarczyk; Ilona Szlachcikowska; Żaneta Kiernozek; Anna Kaczmarek; Oliwia Szylaj; Agnieszka Szadkowska; Przemysława Jarosz-Chobot; Barbara Głowińska-Olszewska; Artur Bossowski
Journal:  Biomed Res Int       Date:  2019-04-30       Impact factor: 3.411

7.  Increasing Co-occurrence of Additional Autoimmune Disorders at Diabetes Type 1 Onset Among Children and Adolescents Diagnosed in Years 2010-2018-Single-Center Study.

Authors:  Barbara Głowińska-Olszewska; Maciej Szabłowski; Patrycja Panas; Karolina Żoła Dek; Milena Jamiołkowska-Sztabkowska; Anna Justyna Milewska; Anna Kadłubiska; Agnieszka Polkowska; Włodzimierz Łuczyński; Artur Bossowski
Journal:  Front Endocrinol (Lausanne)       Date:  2020-08-06       Impact factor: 5.555

8.  Skeletal Status, Body Composition, and Glycaemic Control in Adolescents with Type 1 Diabetes Mellitus.

Authors:  Elzbieta Wierzbicka; Anna Swiercz; Pawel Pludowski; Maciej Jaworski; Mieczyslaw Szalecki
Journal:  J Diabetes Res       Date:  2018-09-03       Impact factor: 4.011

9.  Gaseous Pollutants and Particulate Matter (PM) in Ambient Air and the Number of New Cases of Type 1 Diabetes in Children and Adolescents in the Pomeranian Voivodeship, Poland.

Authors:  Małgorzata Michalska; Katarzyna Zorena; Piotr Wąż; Maria Bartoszewicz; Agnieszka Brandt-Varma; Daniel Ślęzak; Marlena Robakowska
Journal:  Biomed Res Int       Date:  2020-02-11       Impact factor: 3.411

10.  The Usefulness of Genotyping of Celiac Disease-Specific HLA among Children with Type 1 Diabetes in Various Clinical Situations.

Authors:  Grazyna Deja; Dominika Sikora; Aleksandra Pyziak-Skupien; Karolina Klenczar; Rafał Deja; Przemysława Jarosz-Chobot
Journal:  J Diabetes Res       Date:  2020-02-20       Impact factor: 4.011

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