TY - JOUR
T1 - Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050
T2 - a systematic analysis for the Global Burden of Disease Study 2021
AU - GBD 2021 Diabetes Collaborators
AU - Ong, Kanyin Liane
AU - Stafford, Lauryn K.
AU - McLaughlin, Susan A.
AU - Boyko, Edward J.
AU - Vollset, Stein Emil
AU - Smith, Amanda E.
AU - Dalton, Bronte E.
AU - Duprey, Joe
AU - Cruz, Jessica A.
AU - Hagins, Hailey
AU - Lindstedt, Paulina A.
AU - Aali, Amirali
AU - Abate, Yohannes Habtegiorgis
AU - Abate, Melsew Dagne
AU - Abbasian, Mohammadreza
AU - Abbasi-Kangevari, Zeinab
AU - Abbasi-Kangevari, Mohsen
AU - Abd ElHafeez, Samar
AU - Abd-Rabu, Rami
AU - Abdulah, Deldar Morad
AU - Abdullah, Abu Yousuf Md
AU - Abedi, Vida
AU - Abidi, Hassan
AU - Aboagye, Richard Gyan
AU - Abolhassani, Hassan
AU - Abu-Gharbieh, Eman
AU - Abu-Zaid, Ahmed
AU - Adane, Tigist Demssew
AU - Adane, Denberu Eshetie
AU - Addo, Isaac Yeboah
AU - Adegboye, Oyelola A.
AU - Adekanmbi, Victor
AU - Adepoju, Abiola Victor
AU - Adnani, Qorinah Estiningtyas Sakilah
AU - Afolabi, Rotimi Felix
AU - Agarwal, Gina
AU - Aghdam, Zahra Babaei
AU - Agudelo-Botero, Marcela
AU - Aguilera Arriagada, Constanza Elizabeth
AU - Agyemang-Duah, Williams
AU - Ahinkorah, Bright Opoku
AU - Ahmad, Danish
AU - Ahmad, Rizwan
AU - Ahmad, Sajjad
AU - Ahmad, Aqeel
AU - Ahmadi, Ali
AU - Ahmadi, Keivan
AU - Ahmed, Ayman
AU - Ahmed, Ali
AU - Ahmed, Luai A.
AU - Ahmed, Syed Anees
AU - Ajami, Marjan
AU - Akinyemi, Rufus Olusola
AU - Al Hamad, Hanadi
AU - Al Hasan, Syed Mahfuz
AU - AL-Ahdal, Tareq Mohammed Ali
AU - Alalwan, Tariq A.
AU - Al-Aly, Ziyad
AU - AlBataineh, Mohammad T.
AU - Alcalde-Rabanal, Jacqueline Elizabeth
AU - Alemi, Sharifullah
AU - Ali, Hassam
AU - Alinia, Tahereh
AU - Aljunid, Syed Mohamed
AU - Almustanyir, Sami
AU - Al-Raddadi, Rajaa M.
AU - Alvis-Guzman, Nelson
AU - Amare, Firehiwot
AU - Ameyaw, Edward Kwabena
AU - Amiri, Sohrab
AU - Amusa, Ganiyu Adeniyi
AU - Andrei, Catalina Liliana
AU - Anjana, Ranjit Mohan
AU - Ansar, Adnan
AU - Ansari, Golnoosh
AU - Ansari-Moghaddam, Alireza
AU - Anyasodor, Anayochukwu Edward
AU - Arabloo, Jalal
AU - Aravkin, Aleksandr Y.
AU - Areda, Demelash
AU - Arifin, Hidayat
AU - Arkew, Mesay
AU - Armocida, Benedetta
AU - Ärnlöv, Johan
AU - Artamonov, Anton A.
AU - Arulappan, Judie
AU - Aruleba, Raphael Taiwo
AU - Arumugam, Ashokan
AU - Aryan, Zahra
AU - Asemu, Mulu Tiruneh
AU - Asghari-Jafarabadi, Mohammad
AU - Askari, Elaheh
AU - Asmelash, Daniel
AU - Astell-Burt, Thomas
AU - Athar, Mohammad
AU - Athari, Seyyed Shamsadin
AU - Atout, Maha Moh d.Wahbi
AU - Avila-Burgos, Leticia
AU - Awaisu, Ahmed
AU - Azadnajafabad, Sina
AU - B, Darshan B.
AU - Babamohamadi, Hassan
AU - Badar, Muhammad
AU - Badawi, Alaa
AU - Badiye, Ashish D.
AU - Baghcheghi, Nayereh
AU - Bagheri, Nasser
AU - Bagherieh, Sara
AU - Bah, Sulaiman
AU - Bahadory, Saeed
AU - Bai, Ruhai
AU - Baig, Atif Amin
AU - Baltatu, Ovidiu Constantin
AU - Baradaran, Hamid Reza
AU - Barchitta, Martina
AU - Bardhan, Mainak
AU - Barengo, Noel C.
AU - Bärnighausen, Till Winfried
AU - Barone, Mark Thomaz Ugliara
AU - Barone-Adesi, Francesco
AU - Barrow, Amadou
AU - Bashiri, Hamideh
AU - Basiru, Afisu
AU - Basu, Sanjay
AU - Basu, Saurav
AU - Batiha, Abdul Monim Mohammad
AU - Batra, Kavita
AU - Bayih, Mulat Tirfie
AU - Bayileyegn, Nebiyou Simegnew
AU - Behnoush, Amir Hossein
AU - Bekele, Alehegn Bekele
AU - Belete, Melaku Ashagrie
AU - Belgaumi, Uzma Iqbal
AU - Belo, Luis
AU - Bennett, Derrick A.
AU - Bensenor, Isabela M.
AU - Berhe, Kidanemaryam
AU - Berhie, Alemshet Yirga
AU - Bhaskar, Sonu
AU - Bhat, Ajay Nagesh
AU - Bhatti, Jasvinder Singh
AU - Bikbov, Boris
AU - Bilal, Faiq
AU - Bintoro, Bagas Suryo
AU - Bitaraf, Saeid
AU - Bitra, Veera R.
AU - Bjegovic-Mikanovic, Vesna
AU - Bodolica, Virginia
AU - Boloor, Archith
AU - Brauer, Michael
AU - Brazo-Sayavera, Javier
AU - Brenner, Hermann
AU - Butt, Zahid A.
AU - Calina, Daniela
AU - Campos, Luciana Aparecida
AU - Campos-Nonato, Ismael R.
AU - Cao, Yin
AU - Cao, Chao
AU - Car, Josip
AU - Carvalho, Márcia
AU - Castañeda-Orjuela, Carlos A.
AU - Catalá-López, Ferrán
AU - Cerin, Ester
AU - Chadwick, Joshua
AU - Chandrasekar, Eeshwar K.
AU - Chanie, Gashaw Sisay
AU - Charan, Jaykaran
AU - Chattu, Vijay Kumar
AU - Chauhan, Kirti
AU - Cheema, Huzaifa Ahmad
AU - Chekol Abebe, Endeshaw
AU - Chen, Simiao
AU - Cherbuin, Nicolas
AU - Chichagi, Fatemeh
AU - Chidambaram, Saravana Babu
AU - Cho, William C.S.
AU - Choudhari, Sonali Gajanan
AU - Chowdhury, Rajiv
AU - Chowdhury, Enayet Karim
AU - Chu, Dinh Toi
AU - Chukwu, Isaac Sunday
AU - Chung, Sheng Chia
AU - Coberly, Kaleb
AU - Columbus, Alyssa
AU - Contreras, Daniela
AU - Cousin, Ewerton
AU - Criqui, Michael H.
AU - Cruz-Martins, Natália
AU - Cuschieri, Sarah
AU - Dabo, Bashir
AU - Dadras, Omid
AU - Dai, Xiaochen
AU - Damasceno, Albertino Antonio Moura
AU - Dandona, Rakhi
AU - Dandona, Lalit
AU - Das, Saswati
AU - Dascalu, Ana Maria
AU - Dash, Nihar Ranjan
AU - Dashti, Mohsen
AU - Dávila-Cervantes, Claudio Alberto
AU - De la Cruz-Góngora, Vanessa
AU - Debele, Gebiso Roba
AU - Delpasand, Kourosh
AU - Demisse, Fitsum Wolde
AU - Demissie, Getu Debalkie
AU - Deng, Xinlei
AU - Denova-Gutiérrez, Edgar
AU - Deo, Salil V.
AU - Dervišević, Emina
AU - Desai, Hardik Dineshbhai
AU - Desale, Aragaw Tesfaw
AU - Dessie, Anteneh Mengist
AU - Desta, Fikreab
AU - Dewan, Syed Masudur Rahman
AU - Dey, Sourav
AU - Dhama, Kuldeep
AU - Dhimal, Meghnath
AU - Diao, Nancy
AU - Diaz, Daniel
AU - Dinu, Monica
AU - Diress, Mengistie
AU - Djalalinia, Shirin
AU - Doan, Linh Phuong
AU - Dongarwar, Deepa
AU - dos Santos Figueiredo, Francisco Winter
AU - Duncan, Bruce B.
AU - Dutta, Siddhartha
AU - Dziedzic, Arkadiusz Marian
AU - Edinur, Hisham Atan
AU - Ekholuenetale, Michael
AU - Ekundayo, Temitope Cyrus
AU - Elgendy, Islam Y.
AU - Elhadi, Muhammed
AU - El-Huneidi, Waseem
AU - Elmeligy, Omar Abdelsadek Abdou
AU - Elmonem, Mohamed A.
AU - Endeshaw, Destaw
AU - Esayas, Hawi Leul
AU - Eshetu, Habitu Birhan
AU - Etaee, Farshid
AU - Fadhil, Ibtihal
AU - Fagbamigbe, Adeniyi Francis
AU - Fahim, Ayesha
AU - Falahi, Shahab
AU - Faris, Moez Al Islam Ezzat Mahmoud
AU - Farrokhpour, Hossein
AU - Farzadfar, Farshad
AU - Hankey, Graeme J.
AU - Schlaich, Markus P.
N1 - Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.
PY - 2023/7/15
Y1 - 2023/7/15
N2 - BACKGROUND: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050.METHODS: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively.FINDINGS: In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%.INTERPRETATION: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers.FUNDING: Bill & Melinda Gates Foundation.
AB - BACKGROUND: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050.METHODS: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively.FINDINGS: In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%.INTERPRETATION: Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers.FUNDING: Bill & Melinda Gates Foundation.
KW - Male
KW - Female
KW - Humans
KW - Aged
KW - Prevalence
KW - Global Burden of Disease
KW - Quality-Adjusted Life Years
KW - Diabetes Mellitus, Type 2/epidemiology
KW - Diabetes Mellitus, Type 1/epidemiology
KW - Bayes Theorem
KW - Life Expectancy
KW - Risk Factors
KW - Global Health
UR - http://www.scopus.com/inward/record.url?scp=85164436395&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(23)01301-6
DO - 10.1016/S0140-6736(23)01301-6
M3 - Article
C2 - 37356446
SN - 0140-6736
VL - 402
SP - 203
EP - 234
JO - Lancet (London, England)
JF - Lancet (London, England)
IS - 10397
ER -