TY - JOUR
T1 - Trends in the incidence of diagnosed diabetes
T2 - a multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settings
AU - Magliano, Dianna J.
AU - Chen, Lei
AU - Islam, Rakibul M.
AU - Carstensen, Bendix
AU - Gregg, Edward W.
AU - Pavkov, Meda E.
AU - Andes, Linda J.
AU - Balicer, Ran
AU - Baviera, Marta
AU - Boersma-van Dam, Elise
AU - Booth, Gillian L.
AU - Chan, Juliana C.N.
AU - Chua, Yi Xian
AU - Fosse-Edorh, Sandrine
AU - Fuentes, Sonsoles
AU - Gulseth, Hanne L.
AU - Gurevicius, Romualdas
AU - Ha, Kyoung Hwa
AU - Hird, Thomas R.
AU - Jermendy, György
AU - Khalangot, Mykola D.
AU - Kim, Dae Jung
AU - Kiss, Zoltán
AU - Kravchenko, Victor I.
AU - Leventer-Roberts, Maya
AU - Lin, Chun Yi
AU - Luk, Andrea O.Y.
AU - Mata-Cases, Manel
AU - Mauricio, Didac
AU - Nichols, Gregory A.
AU - Nielen, Mark M.
AU - Pang, Deanette
AU - Paul, Sanjoy K.
AU - Pelletier, Catherine
AU - Pildava, Santa
AU - Porath, Avi
AU - Read, Stephanie H.
AU - Roncaglioni, Maria Carla
AU - Lopez-Doriga Ruiz, Paz
AU - Shestakova, Marina
AU - Vikulova, Olga
AU - Wang, Kang Ling
AU - Wild, Sarah H.
AU - Yekutiel, Naama
AU - Shaw, Jonathan E.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/4/1
Y1 - 2021/4/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85102594876&partnerID=8YFLogxK
U2 - 10.1016/S2213-8587(20)30402-2
DO - 10.1016/S2213-8587(20)30402-2
M3 - Article
C2 - 33636102
AN - SCOPUS:85102594876
SN - 2213-8587
VL - 9
SP - 203
EP - 211
JO - The Lancet Diabetes and Endocrinology
JF - The Lancet Diabetes and Endocrinology
IS - 4
ER -