Literature DB >> 29144024

Epidemiology of type 1 diabetes in Polish children: A multicentre cohort study.

Mieczysław Szalecki1,2, Marta Wysocka-Mincewicz1, Anna Ramotowska3, Artur Mazur4, Lucyna Lisowicz4, Iwona Beń-Skowronek5, Joanna Sieniawska5, Bożena Klonowska6, Dorota Charemska6, Jolanta Nawrotek7, Irena Jałowiec7, Artur Bossowski8, Milena Jamiołkowska8, Beata Pyrżak9, Grażyna Miszkurka9, Agnieszka Szypowska3.   

Abstract

BACKGROUND: The incidence of childhood type 1 diabetes (T1D) varies greatly between populations, and the estimates and/or predictions of the rates would aid in adequate planning of health care resources. The study's aim was to assess the incidence of T1D in the paediatric population of eastern and central Poland.
METHODS: In this cohort study covering the period from January 2010 to December 2014, data were collected for children and adolescents below 18 years of age with newly diagnosed T1D living in eastern and central Poland. A total of 2174 children were included in the analysis. The population estimates were from the Central Statistical Office of Poland.
RESULTS: Overall, the annual incidence of T1D increased from 12.84/100,000 in 2010 to 18.46/100,000 in 2014 with the incidence rate (IR) ratio of 1.5 (an increase in the IR by 12.7% per year over 5 years). The lowest increase in the IR by 7.1% per year was seen in 15 to 17-year-olds. In the urban population (age 0-17 years), the overall incidence rate was significantly higher than in subjects from rural communities (P < .02). The incidence of T1D in rural areas was significantly higher (p = .004) in voivodeships of higher population density. Such dependence was not observed in urban areas.
CONCLUSIONS: The incidence of T1D in children living in eastern and central Poland increased 1.5-fold over the 5-year observation period with the highest rise in 10 to 14-year-olds and significantly higher rates in urban children compared with their peers living in rural areas.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  childhood; diabetes mellitus; epidemiology; incidence; prevalence; type 1 diabetes

Mesh:

Year:  2017        PMID: 29144024     DOI: 10.1002/dmrr.2962

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  8 in total

1.  Lack of effect of Lactobacillus rhamnosus GG and Bifidobacterium lactis Bb12 on beta-cell function in children with newly diagnosed type 1 diabetes: a randomised controlled trial.

Authors:  Lidia Groele; Hania Szajewska; Mieczysław Szalecki; Jolanta Świderska; Marta Wysocka-Mincewicz; Agnieszka Ochocińska; Anna Stelmaszczyk-Emmel; Urszula Demkow; Agnieszka Szypowska
Journal:  BMJ Open Diabetes Res Care       Date:  2021-03

2.  Effect of Nutritional Habits on the Glycemic Response to Different Carbohydrate Diet in Children with Type 1 Diabetes Mellitus.

Authors:  Agnieszka Lejk; Jędrzej Chrzanowski; Adrianna Cieślak; Wojciech Fendler; Małgorzata Myśliwiec
Journal:  Nutrients       Date:  2021-10-27       Impact factor: 5.717

3.  Leveraging Real-World Data for EMA Qualification of a Model-Based Biomarker Tool to Optimize Type-1 Diabetes Prevention Studies.

Authors:  Jagdeep T Podichetty; Patrick Lang; Inish M O'Doherty; Sarah E David; Rhoda N Muse; Stephen R Karpen; Laura Sue Song; Klaus Romero; Jackson K Burton
Journal:  Clin Pharmacol Ther       Date:  2022-03-11       Impact factor: 6.903

4.  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

5.  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

6.  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

7.  Is diabetic ketoacidosis a good predictor of 5-year metabolic control in children with newly diagnosed type 1 diabetes?

Authors:  Kowalczyk Emilia; Stypułkowska Aneta; Majewska Barbara; Jarzębowska Małgorzata; Hoffmann Aleksandra; Buła Paulina; Szypowska Agnieszka
Journal:  BMC Endocr Disord       Date:  2021-11-02       Impact factor: 2.763

8.  Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography.

Authors:  Wysocka-Mincewicz Marta; Olechowski Andrzej; Baszyńska-Wilk Marta; Byczyńska Aleksandra; Gołębiewska Joanna
Journal:  Sci Rep       Date:  2021-10-04       Impact factor: 4.379

  8 in total

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