Evidence map›Paper›PMID 42289795›Full record

ArticleDiabetes, obesity & metabolism2026

Influenza Vaccination Among Individuals With Type 1 Diabetes in Denmark: Coverage, Persistence, and Determinants, 2015-2022.

Vithiya Karunakaran, Ida Borreby Pedersen, Astrid Hjelholt, Mads Kjølby, Esben Thyssen Vestergaard, Ole Frøbert, Anders Aasted Isaksen, Kurt Kristensen

Abstract read
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Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Vithiya KarunakaranSteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID 0000-0001-8192-1669
Ida Borreby PedersenSteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID 0009-0008-1158-4220
Astrid HjelholtSteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID 0000-0002-3114-4176
Mads KjølbySteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID 0000-0002-1043-6137
Esben Thyssen VestergaardSteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID 0000-0003-4263-1815
Ole FrøbertDepartment of Clinical Pharmacology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-5846-345X
Anders Aasted IsaksenSteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID 0000-0001-8457-5466
Kurt KristensenSteno Diabetes Center Aarhus, Aarhus, Denmark.ORCID 0000-0002-3912-8234

Funding

Flu Lab
6 · The paper itself

Abstract

aimsTo investigate influenza vaccination coverage (IVC) and persistence with annual influenza vaccination among individuals with type 1 diabetes in Denmark and to identify clinical, demographic, and socioeconomic factors associated with vaccination status. MATERIALS AND

methodsWe conducted a nationwide, register-based cohort study of individuals aged 1-64 years with type 1 diabetes across the influenza seasons 2015-2022 in Denmark. Annual influenza vaccination status was assessed, and the cohort was stratified into age groups (1-18 and 19-64 years) according to age-specific vaccine recommendations. We investigated associations between non-vaccination/non-persistence and demographic, clinical, and socioeconomic factors using Poisson regression to compute adjusted relative risk (aRR). Persistence was defined as receipt of influenza vaccination in more than 80% of eligible seasons during follow-up.

resultsWe identified 25 473 individuals with type 1 diabetes corresponding to 168 212 influenza seasons. In 2015/16, IVC was 5.6% in children and 18.3% in adults. IVC remained stable until a marked increase in 2021/22 (15.7% and 41.8%, respectively). In children, longer diabetes duration, HbA1c ≥ 53 mmol/mol, and residence in The North Denmark Region were associated with non-vaccination. In adults, male sex, younger age, shorter educational attainment, and HbA1c ≥ 53 mmol/mol were associated with non-vaccination. In both populations, factors associated with non-persistence were similar to those observed with non-vaccination.

conclusionsIn Denmark, IVC among individuals with type 1 diabetes remains well below WHO targets, highlighting the need for targeted vaccination strategies. Sociodemographic and clinical factors associated with non-vaccination identify population groups where preventive efforts should be prioritised.

Indexed as

Diabetes Mellitus, Type 1Influenza, HumanInfluenza VaccinesVaccinationVaccination CoverageAdolescentAdultChildChild, PreschoolCohort StudiesDenmarkFemaleHumansInfantMaleMiddle AgedInfluenza Vaccinescohort studydatabase researchdiabetes complicationseffectivenessglycaemic controltype 1 diabetes

Identifiers

PMID42289795
PMCPMC13449017

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.