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

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.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.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.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.US Centers for Disease Control and Prevention, Diabetes Australia Research Program, and Victoria State Government Operational Infrastructure Support Program.

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Authors: Dianna J Magliano, Lei Chen, Rakibul M Islam, Bendix Carstensen, Edward W Gregg, Meda E Pavkov, Linda J Andes, Ran Balicer, Marta Baviera, Elise Boersma-van Dam, Gillian L Booth, Juliana C N Chan, Yi Xian Chua, Sandrine Fosse-Edorh, Sonsoles Fuentes, Hanne L Gulseth, Romualdas Gurevicius, Kyoung Hwa Ha, Thomas R Hird, György Jermendy, Mykola D Khalangot, Dae Jung Kim, Zoltán Kiss, Victor I Kravchenko, Maya Leventer-Roberts, Chun-Yi Lin, Andrea O Y Luk, Manel Mata-Cases, Didac Mauricio, Gregory A Nichols, Mark M Nielen, Deanette Pang, Sanjoy K Paul, Catherine Pelletier, Santa Pildava, Avi Porath, Stephanie H Read, Maria Carla Roncaglioni, Paz Lopez-Doriga Ruiz, Marina Shestakova, Olga Vikulova, Kang-Ling Wang, Sarah H Wild, Naama Yekutiel, Jonathan E Shaw