Abstract
| Original language | English |
|---|---|
| Journal | The Lancet |
| DOIs | |
| Publication status | Published - 2023 |
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In: The Lancet, 2023.
Research output: Contribution to journal › Article › peer-review
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T1 - Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
AU - Ong, Kanyin Liane
AU - Stafford, Lauryn K
AU - McLaughlin, Susan A
AU - Boyko, Edward J
AU - Vollset, Stein Emil
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AU - Duprey, Joe
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AU - Abbasian, Mohammadreza
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AU - Taheri, Ensiyeh
AU - Taki, Elahe
AU - Tamuzi, Jacques JL Lukenze
AU - Tan, Ker-Kan
AU - Tat, Nathan Y
AU - Taye, Birhan Tsegaw
AU - Temesgen, Worku Animaw
AU - Temsah, Mohamad-Hani
AU - Tesler, Riki
AU - Thangaraju, Pugazhenthan
AU - Thankappan, Kavumpurathu Raman
AU - Thapa, Rajshree
AU - Tharwat, Samar
AU - Thomas, Nihal
AU - Ticoalu, Jansje Henny Vera
AU - Tiyuri, Amir
AU - Tonelli, Marcello
AU - Tovani-Palone, Marcos Roberto
AU - Trico, Domenico
AU - Trihandini, Indang
AU - Tripathy, Jaya Prasad
AU - Tromans, Samuel Joseph
AU - Tsegay, Guesh Mebrahtom
AU - Tualeka, Abdul Rohim
AU - Tufa, Derara Girma
AU - Tyrovolas, Stefanos
AU - Ullah, Sana
AU - Upadhyay, Era
AU - Vahabi, Seyed Mohammad
AU - Vaithinathan, Asokan Govindaraj
AU - Valizadeh, Rohollah
AU - Daalen, Kim Robin van
AU - Vart, Priya
AU - Varthya, Shoban Babu
AU - Vasankari, Tommi Juhani
AU - Vaziri, Siavash
AU - Verma, Madhur verma
AU - Verras, Georgios-Ioannis
AU - Vo, Danh Cao
AU - Wagaye, Birhanu
AU - Waheed, Yasir
AU - Wang, Ziyue
AU - Wang, Yanqing
AU - Wang, Cong
AU - Wang, Fang
AU - Wassie, Gizachew Tadesse
AU - Wei, Melissa Y Wei
AU - Weldemariam, Abrha Hailay
AU - Westerman, Ronny
AU - Wickramasinghe, Nuwan Darshana
AU - Wu, YiFan
AU - Wulandari, Ratna DWI
AU - Xia, Juan
AU - Xiao, Hong
AU - Xu, Suowen
AU - Xu, Xiaoyue
AU - Yada, Dereje Y
AU - Yang, Lin
AU - Yatsuya, Hiroshi
AU - Yesiltepe, Metin
AU - Yi, Siyan
AU - Yohannis, Hunachew Kibret
AU - Yonemoto, Naohiro
AU - You, Yuyi
AU - Zaman, Sojib Bin
AU - Zamora, Nelson
AU - Zare, Iman
AU - Zarea, Kourosh
AU - Zarrintan, Armin
AU - Zastrozhin, Mikhail Sergeevich
AU - Zeru, Naod Gebrekrstos
AU - Zhang, Zhi-Jiang
AU - Zhong, Chenwen
AU - Zhou, Jingjing
AU - Zielińska, Magdalena
AU - Zikarg, Yossef Teshome
AU - Zodpey, Sanjay
AU - Zoladl, Mohammad
AU - Zou, Zhiyong
AU - Zumla, Alimuddin
AU - Zuniga, Yves Miel H
AU - Magliano, Dianna J
AU - Murray, Christopher J L
AU - Hay, Simon I
AU - Vos, Theo
PY - 2023
Y1 - 2023
N2 - Summary 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 - Summary 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.
U2 - https://doi.org/10.1016/S0140-6736(23)01301-6
DO - https://doi.org/10.1016/S0140-6736(23)01301-6
M3 - Article
SN - 0140-6736
JO - The Lancet
JF - The Lancet
ER -