Back to Search Start Over

Trends in the incidence of diagnosed diabetes: a multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settings

Authors :
Paz Lopez-Doriga Ruiz
Lei Chen
Jonathan E. Shaw
Marta Baviera
Didac Mauricio
Yi Xian Chua
Naama Yekutiel
Linda J. Andes
Thomas R. Hird
Mykola Khalangot
Romualdas Gurevicius
Rakibul M. Islam
Gillian L. Booth
Maria Carla Roncaglioni
Gregory A. Nichols
Mark M. Nielen
Deanette Pang
Sarah H. Wild
György Jermendy
Elise Boersma-van Dam
Chun Yi Lin
Sonsoles Fuentes
Bendix Carstensen
Kyoung Hwa Ha
Marina Vladimirovna Shestakova
Santa Pildava
Hanne Løvdal Gulseth
Stephanie H. Read
Juliana C.N. Chan
Dianna J. Magliano
Meda E. Pavkov
Zoltán Kiss
Avi Porath
Kang Ling Wang
Ran D. Balicer
Dae Jung Kim
Andrea O.Y. Luk
Olga K. Vikulova
Catherine Pelletier
Sanjoy K. Paul
Edward W. Gregg
Victor Kravchenko
Sandrine Fosse-Edorh
Manel Mata-Cases
Maya Leventer-Roberts
Source :
Magliano, D J, Chen, L, Islam, R M, Carstensen, B, Read, S & Wild, S H 2021, ' Trends in the incidence of diagnosed diabetes: a multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settings ', The Lancet Diabetes and Endocrinology, vol. 9, no. 4, pp. 203-11 . https://doi.org/10.1016/S2213-8587(20)30402-2
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Summary Background Diabetes prevalence is increasing in most places in the world, but prevalence is affected by both risk of developing diabetes and survival of those with diabetes. Diabetes incidence is a better metric to understand the trends in population risk of diabetes. Using a multicountry analysis, we aimed to ascertain whether the incidence of clinically diagnosed diabetes has changed over time. Methods In this multicountry data analysis, we assembled aggregated data describing trends in diagnosed total or type 2 diabetes incidence from 24 population-based data sources in 21 countries or jurisdictions. Data were from administrative sources, health insurance records, registries, and a health survey. We modelled incidence rates with Poisson regression, using age and calendar time (1995–2018) as variables, describing the effects with restricted cubic splines with six knots for age and calendar time. Findings Our data included about 22 million diabetes diagnoses from 5 billion person-years of follow-up. Data were from 19 high-income and two middle-income countries or jurisdictions. 23 data sources had data from 2010 onwards, among which 19 had a downward or stable trend, with an annual estimated change in incidence ranging from −1·1% to −10·8%. Among the four data sources with an increasing trend from 2010 onwards, the annual estimated change ranged from 0·9% to 5·6%. The findings were robust to sensitivity analyses excluding data sources in which the data quality was lower and were consistent in analyses stratified by different diabetes definitions. Interpretation The incidence of diagnosed diabetes is stabilising or declining in many high-income countries. The reasons for the declines in the incidence of diagnosed diabetes warrant further investigation with appropriate data sources. Funding US Centers for Disease Control and Prevention, Diabetes Australia Research Program, and Victoria State Government Operational Infrastructure Support Program.

Details

ISSN :
22138587
Volume :
9
Database :
OpenAIRE
Journal :
The Lancet Diabetes & Endocrinology
Accession number :
edsair.doi.dedup.....c8876884e7ad85a9f4cbcd9797a19c86