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Spatiotemporal association between COVID-19 incidence and type 1 diabetes incidence among children and adolescents: a register-based ecological study in Germany.
Rosenbauer, Joachim; Stahl-Pehe, Anna; Baechle, Christina; Lanzinger, Stefanie; Kamrath, Clemens; Kuß, Oliver; Holl, Reinhard W.
Affiliation
  • Rosenbauer J; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • Stahl-Pehe A; German Center for Diabetes Research (DZD), Munich, Germany.
  • Baechle C; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • Lanzinger S; German Center for Diabetes Research (DZD), Munich, Germany.
  • Kamrath C; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • Kuß O; German Center for Diabetes Research (DZD), Munich, Germany.
  • Holl RW; German Center for Diabetes Research (DZD), Munich, Germany.
Front Endocrinol (Lausanne) ; 14: 1287354, 2023.
Article in En | MEDLINE | ID: mdl-38234422
ABSTRACT

Objective:

Studies have shown an increased incidence of pediatric type 1 diabetes during the COVID-19 pandemic, but the detailed role of SARS-CoV-2 infection in the incidence increase in type 1 diabetes remains unclear. We investigated the spatiotemporal association of pediatric type 1 diabetes and COVID-19 incidence at the district level in Germany.

Methods:

For the period from March 2020 to June 2022, nationwide data on incident type 1 diabetes among children and adolescents aged <20 years and daily documented COVID-19 infections in the total population were obtained from the German Diabetes Prospective Follow-up Registry and the Robert Koch Institute, respectively. Data were aggregated at district level and seven time periods related to COVID-19 pandemic waves. Spatiotemporal associations between indirectly standardized incidence rates of type 1 diabetes and COVID-19 were analyzed by Spearman correlation and Bayesian spatiotemporal conditional autoregressive Poisson models.

Results:

Standardized incidence ratios of type 1 diabetes and COVID-19 in the pandemic period were not significantly correlated across districts and time periods. A doubling of the COVID-19 incidence rate was not associated with a significant increase in the incidence rate of type 1 diabetes (relative risk 1.006, 95% CI 0.987; 1.019).

Conclusion:

Our findings based on data from the pandemic period indirectly indicate that a causal relationship between SARS-COV-2 infection and type 1 diabetes among children and adolescents is unlikely.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenols / Thiazoles / Diabetes Mellitus, Type 1 / COVID-19 Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Humans Country/Region as subject: Europa Language: En Journal: Front Endocrinol (Lausanne) / Front. endocrinol. (Lausanne) / Frontiers in endocrinology (Lausanne) Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenols / Thiazoles / Diabetes Mellitus, Type 1 / COVID-19 Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Humans Country/Region as subject: Europa Language: En Journal: Front Endocrinol (Lausanne) / Front. endocrinol. (Lausanne) / Frontiers in endocrinology (Lausanne) Year: 2023 Document type: Article