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Trends and cyclic variation in the incidence of childhood type 1 diabetes in two Italian regions over 33 years and during the COVID-19 pandemic.
Gesuita, Rosaria; Rabbone, Ivana; Marconi, Vittorio; De Sanctis, Luisa; Marino, Monica; Tiberi, Valentina; Iannilli, Antonio; Tinti, Davide; Favella, Lucia; Giorda, Carlo; Carle, Flavia; Cherubini, Valentino.
  • Gesuita R; Centre of Epidemiology, Biostatistics and Medical Information Technology, Università Politecnica delle Marche, Ancona, Italy.
  • Rabbone I; Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy.
  • Marconi V; Division of Paediatrics, Department of Health Sciences, University of Piemonte Orientale, Novara, Italy.
  • De Sanctis L; Postgraduate School of Medical Statistics and Biometry, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy.
  • Marino M; Department of Public Health and Paediatric Sciences, University of Turin-Regina Margherita Children Hospital-A.O.U. Città della Salute e della Scienza di Torino, Turin, Italy.
  • Tiberi V; Department of Women's and Children's Health, Azienda Ospedaliero-Universitaria, Ospedali Riuniti di Ancona, "G. Salesi Hospital", Ancona, Italy.
  • Iannilli A; Department of Women's and Children's Health, Azienda Ospedaliero-Universitaria, Ospedali Riuniti di Ancona, "G. Salesi Hospital", Ancona, Italy.
  • Tinti D; Department of Women's and Children's Health, Azienda Ospedaliero-Universitaria, Ospedali Riuniti di Ancona, "G. Salesi Hospital", Ancona, Italy.
  • Favella L; Department of Public Health and Paediatric Sciences, University of Turin-Regina Margherita Children Hospital-A.O.U. Città della Salute e della Scienza di Torino, Turin, Italy.
  • Giorda C; Digital Health Department-Information Assets, CSI Piemonte, Torino, Italy.
  • Carle F; Metabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy.
  • Cherubini V; Centre of Epidemiology, Biostatistics and Medical Information Technology, Università Politecnica delle Marche, Ancona, Italy.
Diabetes Obes Metab ; 25(6): 1698-1703, 2023 06.
Article in English | MEDLINE | ID: covidwho-2260455
ABSTRACT

AIM:

There is conflicting evidence about the impact of the COVID-19 pandemic on the incidence of type 1 diabetes. Here, we analysed long-term trends in the incidence of type 1 diabetes in Italian children and adolescents from 1989 to 2019 and compared the incidence observed during the COVID-19 pandemic with that estimated from long-term data. MATERIALS AND

METHODS:

This was a population-based incidence study using longitudinal data from two diabetes registries in mainland Italy. Trends in the incidence of type 1 diabetes from 1 January 1989 to 31 December 2019 were estimated using Poisson and segmented regression models.

RESULTS:

There was a significant increasing trend in the incidence of type 1 diabetes of 3.6% per year [95% confidence interval (CI) 2.4-4.8] between 1989 and 2003, a breakpoint in 2003, and then a constant incidence until 2019 (0.5%, 95% CI -1.3 to 2.4). There was a significant 4-year cycle in incidence over the entire study period. The rate observed in 2021 (26.7, 95% CI 23.0-30.9) was significantly higher than expected (19.5, 95% CI 17.6-21.4; p = .010).

CONCLUSION:

Long-term incidence analysis showed an unexpected increase in new cases of type 1 diabetes in 2021. The incidence of type 1 diabetes now needs continuous monitoring using population registries to understand better the impact of COVID-19 on new-onset type 1 diabetes in children.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Child / Humans Country/Region as subject: Europa Language: English Journal: Diabetes Obes Metab Journal subject: Endocrinology / Metabolism Year: 2023 Document Type: Article Affiliation country: Dom.15024

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Child / Humans Country/Region as subject: Europa Language: English Journal: Diabetes Obes Metab Journal subject: Endocrinology / Metabolism Year: 2023 Document Type: Article Affiliation country: Dom.15024