• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Diabetes Metab Res Rev . Long-Term Risk of Incident Type 2 Diabetes Following SARS-CoV-2 Infection: A Population-Based Study in British Columbia, C

tetano

Editor, Senior Moderator
Diabetes Metab Res Rev


. 2026 Feb;42(2):e70136.
doi: 10.1002/dmrr.70136.
Long-Term Risk of Incident Type 2 Diabetes Following SARS-CoV-2 Infection: A Population-Based Study in British Columbia, Canada

Héctor Alexander Velásquez García[SUP] 1 2 [/SUP], Stanley Wong[SUP] 1 2 [/SUP], Dahn Jeong[SUP] 1 2 3 [/SUP], Zaeema Naveed[SUP] 2 3 [/SUP], Bushra Mahmood[SUP] 2 4 [/SUP], Geoffrey McKee[SUP] 1 2 3 [/SUP], Naveed Zafar Janjua[SUP] 1 2 3 5 [/SUP]


Affiliations
Abstract

Aims: To assess the long-term risk of incident type 2 diabetes mellitus (T2DM) following SARS-CoV-2 infection in a large population-based cohort.
Materials and methods: We conducted a retrospective cohort study of all British Columbia residents aged ≥ 18 years tested for SARS-CoV-2 by reverse transcription polymerase chain reaction (RT-PCR) between 1 January 2020 and 31 January 2024. Individuals with pre-existing diabetes or residing in long-term care were excluded. Incident T2DM, identified more than 30 days after testing, was ascertained using a validated administrative algorithm. Inverse probability-weighted cause-specific hazard models estimated adjusted hazard ratios (HRs) for incident diabetes, accounting for death as a competing risk. Subgroup analyses examined associations by sex, age, vaccination status, COVID-19 severity, and follow-up duration.
Results: Among 2,044,421 individuals (296,390 SARS-CoV-2-positive; 1,748,031 negative), 47,704 (2.33%) incident T2DM cases were identified over a median follow-up of 874 days. Compared with the SARS-CoV-2-negative group, the risk of diabetes was higher among infected individuals (HR 1.18; 95% CI: 1.15-1.22; p < 0.0001), rising progressively with illness severity-from ambulatory to hospitalised and intensive-care cases. No evidence of association was found among the vaccinated subgroups. The excess risk persisted for up to 3 years before waning thereafter.
Conclusions: SARS-CoV-2 infection was associated with an increased risk of incident T2DM that persisted for up to 3 years, particularly among unvaccinated and severely ill individuals. These findings highlight the importance of post-infection metabolic surveillance and the potential protective role of vaccination.

Keywords: COVID‐19; SARS‐CoV‐2; administrative data; population‐based longitudinal cohort; survival analysis; type 2 diabetes mellitus.

 
Back
Top Bottom