Back to Search Start Over

Reduced incidence of diabetes during the COVID‐19 pandemic in Alberta: A time‐segmented longitudinal study of Alberta's Tomorrow Project.

Authors :
Ye, Ming
Vena, Jennifer E.
Shen‐Tu, Grace
Johnson, Jeffrey A.
Eurich, Dean T.
Source :
Diabetes, Obesity & Metabolism; Apr2024, Vol. 26 Issue 4, p1244-1251, 8p
Publication Year :
2024

Abstract

Aim: To characterize the impact of the COVID‐19 pandemic on diabetes diagnosis using data from Alberta's Tomorrow Project (ATP), a population‐based cohort study of chronic diseases in Alberta, Canada. Materials and Methods: The ATP participants who were free of diabetes on 1 April 2018 were included in the study. A time‐segmented regression model was used to compare incidence rates of diabetes before the COVID‐19 pandemic, during the first two COVID‐19 states of emergency, and in the period when the state of emergency was relaxed, after adjusting for seasonality, sociodemographic factors, socioeconomic status, and lifestyle behaviours. Results: Among 43 705 ATP participants free of diabetes (65.5% females, age 60.4 ± 9.5 years in 2018), the rate of diabetes was 4.75 per 1000 person‐year (PY) during the COVID‐19 pandemic (up to 31 March 2021), which was 32% lower (95% confidence interval [CI] 21%, 42%; p < 0.001) than pre‐pandemic (6.98 per 1000 PY for the period 1 April 2018 to 16 March 2020). In multivariable regression analysis, the first COVID‐19 state of emergency (first wave) was associated with an 87.3% (95% CI −98.6%, 13.9%; p = 0.07) reduction in diabetes diagnosis; this decreasing trend was sustained to the second COVID‐19 state of emergency and no substantial rebound (increase) was observed when the COVID‐19 state of emergency was relaxed. Conclusions: The COVID‐19 public health emergencies had a negative impact on diabetes diagnosis in Alberta. The reduction in diabetes diagnosis was likely due to province‐wide health service disruptions during the COVID‐19 pandemic. Systematic plans to close the post‐COVID‐19 diagnostic gap are required in diabetes to avoid substantial downstream sequelae of undiagnosed disease. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14628902
Volume :
26
Issue :
4
Database :
Complementary Index
Journal :
Diabetes, Obesity & Metabolism
Publication Type :
Academic Journal
Accession number :
175799346
Full Text :
https://doi.org/10.1111/dom.15420