Evidence map›Paper›PMID 39358227›Full record

ArticleEnvironmental health and preventive medicine2024

Differential impact of SARS-CoV-2 infection during different outbreak periods on incident diabetes in Japan: a matched cohort study utilizing health insurance claims.

Akiko Matsumoto, Sachiko Kodera, Tatsuya Matsuura, Yoko Takayama, Yuya Yamada, Akimasa Hirata

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Article in Environmental health and preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Akiko MatsumotoDepartment of Social and Environmental Medicine, Saga University.
Sachiko KoderaCenter of Biomedical Physics and Information Technology, Nagoya Institute of Technology.
Tatsuya MatsuuraCenter of Biomedical Physics and Information Technology, Nagoya Institute of Technology.
Yoko TakayamaCenter of Biomedical Physics and Information Technology, Nagoya Institute of Technology.
Yuya YamadaJapan System Techniques Co., Ltd.
Akimasa HirataCenter of Biomedical Physics and Information Technology, Nagoya Institute of Technology.ORCID http://orcid.org/0000-0001-8336-1140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increased risk of diabetes after COVID-19 exposure has been reported in Caucasians during the early phase of the pandemic, but the effects across viral variants and in non-Caucasians have not been evaluated.

methodsTo address this gap, survival analyses were performed for five outbreak periods. From an anonymized health insurance database REZULT for the employees and their dependents of large companies or government agencies in Japan, 5 matched cohorts were generated based on age, sex, area of residence (47 prefectures), and 7 ranges of medical bills (COVID-19 exposed:unexposed = 1:4). Observation of each matching group began on the same day. Incident diabetes type 1 (T1D) and type 2 (T2D) were defined as the first claim during the target period, including at least 1 year before the start of observation.

resultsT1D accounted for 0.8% of incident diabetes after the first COVID-19 exposure, similar to the non-exposed cohort. Most T2D in the COVID-19 cohort was observed within a few weeks. After further adjustment for the number of days from the start of observation to hospitalization (a time-dependent variable), the hazard ratio for incident T2D ranged from 14.1 to 20.0, with 95% confidence intervals (95%CI) of 8.7 to 32.0, during the 2-month follow-ups from the original strain outbreak to the Delta variant outbreak (by September 2021), and decreased to 2.0, with a 95%CI of 1.6 to 2.5, during the Omicron outbreak (by March 2022). No association was found during the BA.4/5 outbreak (until September 2022). Males had a higher risk, and the trend toward higher risk in older age groups was inconsistent across the periods.

conclusionsOur large dataset, covering 2019-2023, reports for the first time the impact of COVID-19 on incident diabetes in non-Caucasians. The risk intensity and attributes of post-COVID-19 T2D were inconsistent across outbreak periods, suggesting diverse biological effects of different SARS-CoV-2 variants.

Indexed as

COVID-19Diabetes Mellitus, Type 2AdultAgedCohort StudiesDiabetes Mellitus, Type 1FemaleHumansIncidenceInsurance, HealthJapanMaleMiddle AgedSARS-CoV-2Young AdultCOVID-19DiabetesHazard ratioHealth insurance system

Identifiers

PMID39358227
PMCPMC11473386

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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 OpenQuestion graph.