TY - JOUR
T1 - Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023
T2 - a systematic analysis for the Global Burden of Disease Study 2023
AU - GBD 2023 Disease and Injury and Risk Factor Collaborators
AU - Hay, Simon I.
AU - Ong, Kanyin Liane
AU - Santomauro, Damian F.
AU - Bhoomadevi, A.
AU - Aalipour, Mohammad Amin
AU - Aalruz, Hasan
AU - Ababneh, Hazim S.
AU - Abaraogu, Ukachukwu O.
AU - Abate, Biruk Beletew
AU - Abbafati, Cristiana
AU - Abbas, Nasir
AU - Abbasifard, Mitra
AU - Abbasi-Kangevari, Mohsen
AU - Abd ElHafeez, Samar
AU - Abdalla, Ashraf Nabiel
AU - Abdalla, Mohammed Altigani
AU - Abdallah, Emad M.
AU - Abdeeq, Barkhad Aden
AU - Abdel Razeq, Nadin M.I.
AU - Abdelgalil, Ahmed Abdelrahman
AU - Abdel-Hameed, Reda
AU - Abdelmasseh, Michael
AU - Abdelnabi, Mahmoud
AU - Abdel-Rahman, Wael M.
AU - Abd-Elsalam, Sherief
AU - Abdi, Sepideh
AU - Abdollahi, Mohammad
AU - Abdoun, Meriem
AU - Abdous, Arman
AU - Abdul Aziz, Jeza Muhamad
AU - Abdulah, Deldar Morad
AU - Abdulkader, Rizwan Suliankatchi
AU - Abdullahi, Adam
AU - Abdullahi, Auwal
AU - Abdul-Rahman, Toufik
AU - Abdykerimova, Kulmira
AU - Abebe Getahun, Habtamu
AU - Abedi, Aidin
AU - Abedi, Armita
AU - Abejew, Asrat Agalu
AU - Abeldaño Zuñiga, Roberto Ariel
AU - Abhilash, E. S.
AU - Abid, Shehab Uddin Al
AU - Abidi, Syed Hani
AU - Abie, Alemwork
AU - Abiodun, Olugbenga Olusola
AU - Abiodun, Olumide
AU - Aboagye, Richard Gyan
AU - Abohashem, Shady
AU - Abolhassani, Hassan
AU - Abonie, Ulric Sena
AU - Abourashed, Nagah M.
AU - Abouzid, Mohamed
AU - Abramov, Dmitry
AU - Abreu, Lucas Guimarães
AU - Abtahi, Dariush
AU - Abu Farha, Rana Kamal
AU - Abuadas, Fuad Hamdi A.
AU - Abubakar, Aminu Kende
AU - Abubakar, Bilyaminu
AU - Abu-Gharbieh, Eman
AU - Abuhammad, Sawsan
AU - Abuhelwa, Ahmad Y.
AU - Abukhadijah, Hana J.
AU - Abu-Rmeileh, Niveen M.E.
AU - Aburuz, Salahdein
AU - Abushanab, Dina
AU - Achar, Raghu Ram
AU - Acharya, Anirudh Balakrishna
AU - Acharya, Apurba
AU - Ackerman, Ilana N.
AU - Acuna, Juan Manuel
AU - Adal, Ousman
AU - Adams, Lisa C.
AU - Adamu, Lawan Hassan
AU - Adane, Mesafint Molla
AU - Addisu, Zenaw Debasu
AU - Addo, Isaac Yeboah
AU - Adeagbo, Oluwafemi Atanda
AU - Adebisi, Tajudeen Adesanmi
AU - Adedeji, Isaac Akinkunmi
AU - Adedia, David
AU - Adedokun, Kamoru Ademola
AU - Adedoyin, Rufus Adesoji
AU - Adegbile, Oluwatobi E.
AU - Adegboye, Oyelola A.
AU - Adegoke, Nurudeen A.
AU - Adeleke, Olumide Thomas
AU - Adesina, Isaac Ayodeji
AU - Adesina, Miracle Ayomikun
AU - Adewuyi, Habeeb Omoponle
AU - Adeyeoluwa, Temitayo Esther
AU - Adeyomoye, Olorunsola Israel
AU - Adhikari, Kishor
AU - Adhikary, Ripon Kumar
AU - Adiga, Usha
AU - Adnan, Mohd
AU - Adnani, Qorinah Estiningtyas Sakilah
AU - Adoma, Prince Owusu
AU - Adzigbli, Leticia Akua
AU - Adzrago, David
AU - Affinito, Giuseppina
AU - Afifi, Ahmed M.
AU - Afolabi, Aanuoluwapo Adeyimika
AU - Afolabi, Rotimi Felix
AU - Afzal, Saira
AU - Agafari, Gizachew Beykaso
AU - Agampodi, Suneth Buddhika
AU - Ageru, Temesgen Anjulo
AU - Aggarwal, Navidha
AU - Aghaalikhani, Mahdi
AU - Aghajanian, Sepehr
AU - Aghamir, Seyed Mohammad Kazem
AU - Agostinis Sobrinho, César
AU - Agrawal, Anurag
AU - Agyemang-Duah, Williams
AU - Ahadi, Mahsa
AU - Ahinkorah, Bright Opoku
AU - Ahmad, Aqeel
AU - Ahmad, Danish
AU - Ahmad, Faisal
AU - Ahmad, Khabir
AU - Ahmad, Khurshid
AU - Ahmad, Muayyad M.
AU - Ahmad, Noah
AU - Ahmad, Rabbiya
AU - Ahmad, Sajjad
AU - Ahmad, Tauseef
AU - Ahmad, Waqas
AU - Ahmadi, Negar Sadat
AU - Ahmadzade, Amir Mahmoud
AU - Ahmadzade, Mohadese
AU - Ahmed, Akeem Olayiwola
AU - Ahmed, Anisuddin
AU - Ahmed, Ayman
AU - Ahmed, Gasha Salih
AU - Ahmed, Haroon
AU - Ahmed, Junaid
AU - Ahmed, Luai A.
AU - Ahmed, Mehrunnisha Sharif
AU - Ahmed, Meqdad Saleh
AU - Ahmed, Muktar Beshir
AU - Ahmed, Mushood
AU - Ahmed, Oli
AU - Ahmed, Shabbir
AU - Ahmed, Sindew Mahmud
AU - Aimagambetova, Gulzhanat
AU - AJ Jabbar, Ahmed
AU - Ajala, Dolapo Emmanuel
AU - Ajami, Marjan
AU - Ajose, Azeezat Oluwafunmilayo
AU - Akbarialiabad, Hossein
AU - Akbarifard, Saeid
AU - Akeju, Oluwasefunmi
AU - Akhigbe, Roland Eghoghosoa
AU - Akinkuotu, Olufemi Ambrose
AU - Akinosoglou, Karolina
AU - Akkaif, Mohammed Ahmed
AU - Akkala, Sreelatha
AU - Akosile, Wole
AU - Akram, Hammad
AU - Akrami, Ashley E.
AU - Akyea, Ralph Kwame
AU - Al Amiry, Alaa
AU - Al Awaidy, Salah
AU - Al Hasan, Syed Mahfuz
AU - Al Omari, Omar
AU - Al Qadire, Mohammad
AU - Al Ta'ani, Omar
AU - Al Taie, Wasan A.M.
AU - Al Thaher, Yazan
AU - Al Zaabi, Omar Ali Mohammed
AU - Al Zoubi, Mohammad Ahmmad Mahmoud
AU - Al-Abbadi, Mousa Ali
AU - Al-Ajlouni, Yazan
AU - Alalwan, Tariq A.
AU - Al-Aly, Ziyad
AU - Alam, Khurshid
AU - Alam, Manjurul
AU - Alam, Mohammad Khursheed
AU - Alam, Mostafa
AU - Al-Amer, Rasmieh Mustafa
AU - Alamrew, Abebaw
AU - Alansari, Amani
AU - Alanzi, Turki M.
AU - Al-Ashwal, Fahmi Y.
AU - Al-Asmar, Rahmeh
AU - Alavi, Seyed Mohammad Amin
AU - Albashtawy, Mohammed
AU - Al-Dalakta, Astefanos
AU - Aldawsari, Khalifah A.
AU - Aldhaleei, Wafa A.
AU - Aldossary, Mohammed S.
AU - Aldridge, Robert W.
AU - Alebshehy, Raouf
AU - Aleidi, Shereen M.
AU - Alemayehu, Bezawit Abeje
AU - Alemayehu, Tekletsadik Tekleslassie
AU - Alemnew, Fentahun
AU - Alemu, Melaku Birhanu
AU - Al-Eyadhy, Ayman
AU - Alfalki, Ali M.
AU - Algahtani, Fahad D.
AU - Algammal, Abdelazeem M.
AU - Algethami, Mohammed Ridha
AU - Al-Gheethi, Adel Ali Saeed
AU - Al-Habbal, Khairat
AU - Alhabib, Khalid F.
AU - Alhaji, Nma Bida
AU - Al-Hajj, Samar
AU - Alhalaiqa, Fadwa Naji
AU - Al-Hanawi, Mohammed Khaled
AU - Alhassan Ibrahim, Aminu
AU - Alhumaidi, Ashraf
AU - Alhumaydhi, Fahad A.
AU - Alhuwail, Dari
AU - Ali, Abid
AU - Ali, Haroon Muhammad
AU - Ali, Irfan
AU - Ali, Maratab
AU - Ali, Mohammad Daud
AU - Ali, Mohammed Usman
AU - Ali, Rafat
AU - Ali, Shahid
AU - Ali, Syed Shujait
AU - Ali, Syed Yusuf
AU - Ali, Waad
AU - Al-Ibraheem, Akram
AU - Alicandro, Gianfranco
AU - Al-Iede, Montaha
AU - Alif, Sheikh Mohammad
AU - Alipour, Morteza
AU - Al-Jabi, Samah W.
AU - Aljasir, Mohammad A.
AU - Aljofan, Mohamad
AU - Al-Jumaily, Adel
AU - Bagheri, Nasser
AU - Burns, Richard A.
AU - Gao, Xiang
AU - Islam, Md Rabiul
AU - Khan, Muhammad Umair
AU - Khan, Muhammad Umair
AU - Kinfu, Yohannes
AU - Nguyen, Anh Thy H.
AU - Nguyen, Huong Dung Thi
AU - Nguyen, Huong Dung Thi
AU - Pham, Hoang Nhat
AU - Rahman, Mohammad Hifz Ur
AU - Rahman, Mohammad Hifz Ur
AU - Wang, Xing
N1 - Publisher Copyright:
© 2025 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
PY - 2025/10/18
Y1 - 2025/10/18
N2 - Background For more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associated risk factors. This paper presents GBD 2023 findings on disease and injury burden and risk-attributable health loss, offering a global audit of the state of world health to inform public health priorities. This work captures the evolving landscape of health metrics across age groups, sexes, and locations, while reflecting on the remaining post-COVID-19 challenges to achieving our collective global health ambitions. Methods The GBD 2023 combined analysis estimated years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 375 diseases and injuries, and risk-attributable burden associated with 88 modifiable risk factors. Of the more than 310 000 total data sources used for all GBD 2023 (about 30% of which were new to this estimation round), more than 120 000 sources were used for estimation of disease and injury burden and 59 000 for risk factor estimation, and included vital registration systems, surveys, disease registries, and published scientific literature. Data were analysed using previously established modelling approaches, such as disease modelling meta-regression version 2.1 (DisMod-MR 2.1) and comparative risk assessment methods. Diseases and injuries were categorised into four levels on the basis of the established GBD cause hierarchy, as were risk factors using the GBD risk hierarchy. Estimates stratified by age, sex, location, and year from 1990 to 2023 were focused on disease-specific time trends over the 2010–23 period and presented as counts (to three significant figures) and age-standardised rates per 100 000 person-years (to one decimal place). For each measure, 95% uncertainty intervals [UIs] were calculated with the 2·5th and 97·5th percentile ordered values from a 250-draw distribution. Findings Total numbers of global DALYs grew 6·1% (95% UI 4·0–8·1), from 2·64 billion (2·46–2·86) in 2010 to 2·80 billion (2·57–3·08) in 2023, but age-standardised DALY rates, which account for population growth and ageing, decreased by 12·6% (11·0–14·1), revealing large long-term health improvements. Non-communicable diseases (NCDs) contributed 1·45 billion (1·31–1·61) global DALYs in 2010, increasing to 1·80 billion (1·63–2·03) in 2023, alongside a concurrent 4·1% (1·9–6·3) reduction in age-standardised rates. Based on DALY counts, the leading level 3 NCDs in 2023 were ischaemic heart disease (193 million [176–209] DALYs), stroke (157 million [141–172]), and diabetes (90·2 million [75·2–107]), with the largest increases in age-standardised rates since 2010 occurring for anxiety disorders (62·8% [34·0–107·5]), depressive disorders (26·3% [11·6–42·9]), and diabetes (14·9% [7·5–25·6]). Remarkable health gains were made for communicable, maternal, neonatal, and nutritional (CMNN) diseases, with DALYs falling from 874 million (837–917) in 2010 to 681 million (642–736) in 2023, and a 25·8% (22·6–28·7) reduction in age-standardised DALY rates. During the COVID-19 pandemic, DALYs due to CMNN diseases rose but returned to pre-pandemic levels by 2023. From 2010 to 2023, decreases in age-standardised rates for CMNN diseases were led by rate decreases of 49·1% (32·7–61·0) for diarrhoeal diseases, 42·9% (38·0–48·0) for HIV/AIDS, and 42·2% (23·6–56·6) for tuberculosis. Neonatal disorders and lower respiratory infections remained the leading level 3 CMNN causes globally in 2023, although both showed notable rate decreases from 2010, declining by 16·5% (10·6–22·0) and 24·8% (7·4–36·7), respectively. Injury-related age-standardised DALY rates decreased by 15·6% (10·7–19·8) over the same period. Differences in burden due to NCDs, CMNN diseases, and injuries persisted across age, sex, time, and location. Based on our risk analysis, nearly 50% (1·27 billion [1·18–1·38]) of the roughly 2·80 billion total global DALYs in 2023 were attributable to the 88 risk factors analysed in GBD. Globally, the five level 3 risk factors contributing the highest proportion of risk-attributable DALYs were high systolic blood pressure (SBP), particulate matter pollution, high fasting plasma glucose (FPG), smoking, and low birthweight and short gestation—with high SBP accounting for 8·4% (6·9–10·0) of total DALYs. Of the three overarching level 1 GBD risk factor categories—behavioural, metabolic, and environmental and occupational—risk-attributable DALYs rose between 2010 and 2023 only for metabolic risks, increasing by 30·7% (24·8–37·3); however, age-standardised DALY rates attributable to metabolic risks decreased by 6·7% (2·0–11·0) over the same period. For all but three of the 25 leading level 3 risk factors, age-standardised rates dropped between 2010 and 2023—eg, declining by 54·4% (38·7–65·3) for unsafe sanitation, 50·5% (33·3–63·1) for unsafe water source, and 45·2% (25·6–72·0) for no access to handwashing facility, and by 44·9% (37·3–53·5) for child growth failure. The three leading level 3 risk factors for which age-standardised attributable DALY rates rose were high BMI (10·5% [0·1 to 20·9]), drug use (8·4% [2·6 to 15·3]), and high FPG (6·2% [–2·7 to 15·6]; non-significant). Interpretation Our findings underscore the complex and dynamic nature of global health challenges. Since 2010, there have been large decreases in burden due to CMNN diseases and many environmental and behavioural risk factors, juxtaposed with sizeable increases in DALYs attributable to metabolic risk factors and NCDs in growing and ageing populations. This long-observed consequence of the global epidemiological transition was only temporarily interrupted by the COVID-19 pandemic. The substantially decreasing CMNN disease burden, despite the 2008 global financial crisis and pandemic-related disruptions, is one of the greatest collective public health successes known. However, these achievements are at risk of being reversed due to major cuts to development assistance for health globally, the effects of which will hit low-income countries with high burden the hardest. Without sustained investment in evidence-based interventions and policies, progress could stall or reverse, leading to widespread human costs and geopolitical instability. Moreover, the rising NCD burden necessitates intensified efforts to mitigate exposure to leading risk factors—eg, air pollution, smoking, and metabolic risks, such as high SBP, BMI, and FPG—including policies that promote food security, healthier diets, physical activity, and equitable and expanded access to potential treatments, such as GLP-1 receptor agonists. Decisive, coordinated action is needed to address long-standing yet growing health challenges, including depressive and anxiety disorders. Yet this can be only part of the solution. Our response to the NCD syndemic—the complex interaction of multiple health risks, social determinants, and systemic challenges—will define the future landscape of global health. To ensure human wellbeing, economic stability, and social equity, global action to sustain and advance health gains must prioritise reducing disparities by addressing socioeconomic and demographic determinants, ensuring equitable health-care access, tackling malnutrition, strengthening health systems, and improving vaccination coverage. We live in times of great opportunity. Funding Gates Foundation and Bloomberg Philanthropies.
AB - Background For more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associated risk factors. This paper presents GBD 2023 findings on disease and injury burden and risk-attributable health loss, offering a global audit of the state of world health to inform public health priorities. This work captures the evolving landscape of health metrics across age groups, sexes, and locations, while reflecting on the remaining post-COVID-19 challenges to achieving our collective global health ambitions. Methods The GBD 2023 combined analysis estimated years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 375 diseases and injuries, and risk-attributable burden associated with 88 modifiable risk factors. Of the more than 310 000 total data sources used for all GBD 2023 (about 30% of which were new to this estimation round), more than 120 000 sources were used for estimation of disease and injury burden and 59 000 for risk factor estimation, and included vital registration systems, surveys, disease registries, and published scientific literature. Data were analysed using previously established modelling approaches, such as disease modelling meta-regression version 2.1 (DisMod-MR 2.1) and comparative risk assessment methods. Diseases and injuries were categorised into four levels on the basis of the established GBD cause hierarchy, as were risk factors using the GBD risk hierarchy. Estimates stratified by age, sex, location, and year from 1990 to 2023 were focused on disease-specific time trends over the 2010–23 period and presented as counts (to three significant figures) and age-standardised rates per 100 000 person-years (to one decimal place). For each measure, 95% uncertainty intervals [UIs] were calculated with the 2·5th and 97·5th percentile ordered values from a 250-draw distribution. Findings Total numbers of global DALYs grew 6·1% (95% UI 4·0–8·1), from 2·64 billion (2·46–2·86) in 2010 to 2·80 billion (2·57–3·08) in 2023, but age-standardised DALY rates, which account for population growth and ageing, decreased by 12·6% (11·0–14·1), revealing large long-term health improvements. Non-communicable diseases (NCDs) contributed 1·45 billion (1·31–1·61) global DALYs in 2010, increasing to 1·80 billion (1·63–2·03) in 2023, alongside a concurrent 4·1% (1·9–6·3) reduction in age-standardised rates. Based on DALY counts, the leading level 3 NCDs in 2023 were ischaemic heart disease (193 million [176–209] DALYs), stroke (157 million [141–172]), and diabetes (90·2 million [75·2–107]), with the largest increases in age-standardised rates since 2010 occurring for anxiety disorders (62·8% [34·0–107·5]), depressive disorders (26·3% [11·6–42·9]), and diabetes (14·9% [7·5–25·6]). Remarkable health gains were made for communicable, maternal, neonatal, and nutritional (CMNN) diseases, with DALYs falling from 874 million (837–917) in 2010 to 681 million (642–736) in 2023, and a 25·8% (22·6–28·7) reduction in age-standardised DALY rates. During the COVID-19 pandemic, DALYs due to CMNN diseases rose but returned to pre-pandemic levels by 2023. From 2010 to 2023, decreases in age-standardised rates for CMNN diseases were led by rate decreases of 49·1% (32·7–61·0) for diarrhoeal diseases, 42·9% (38·0–48·0) for HIV/AIDS, and 42·2% (23·6–56·6) for tuberculosis. Neonatal disorders and lower respiratory infections remained the leading level 3 CMNN causes globally in 2023, although both showed notable rate decreases from 2010, declining by 16·5% (10·6–22·0) and 24·8% (7·4–36·7), respectively. Injury-related age-standardised DALY rates decreased by 15·6% (10·7–19·8) over the same period. Differences in burden due to NCDs, CMNN diseases, and injuries persisted across age, sex, time, and location. Based on our risk analysis, nearly 50% (1·27 billion [1·18–1·38]) of the roughly 2·80 billion total global DALYs in 2023 were attributable to the 88 risk factors analysed in GBD. Globally, the five level 3 risk factors contributing the highest proportion of risk-attributable DALYs were high systolic blood pressure (SBP), particulate matter pollution, high fasting plasma glucose (FPG), smoking, and low birthweight and short gestation—with high SBP accounting for 8·4% (6·9–10·0) of total DALYs. Of the three overarching level 1 GBD risk factor categories—behavioural, metabolic, and environmental and occupational—risk-attributable DALYs rose between 2010 and 2023 only for metabolic risks, increasing by 30·7% (24·8–37·3); however, age-standardised DALY rates attributable to metabolic risks decreased by 6·7% (2·0–11·0) over the same period. For all but three of the 25 leading level 3 risk factors, age-standardised rates dropped between 2010 and 2023—eg, declining by 54·4% (38·7–65·3) for unsafe sanitation, 50·5% (33·3–63·1) for unsafe water source, and 45·2% (25·6–72·0) for no access to handwashing facility, and by 44·9% (37·3–53·5) for child growth failure. The three leading level 3 risk factors for which age-standardised attributable DALY rates rose were high BMI (10·5% [0·1 to 20·9]), drug use (8·4% [2·6 to 15·3]), and high FPG (6·2% [–2·7 to 15·6]; non-significant). Interpretation Our findings underscore the complex and dynamic nature of global health challenges. Since 2010, there have been large decreases in burden due to CMNN diseases and many environmental and behavioural risk factors, juxtaposed with sizeable increases in DALYs attributable to metabolic risk factors and NCDs in growing and ageing populations. This long-observed consequence of the global epidemiological transition was only temporarily interrupted by the COVID-19 pandemic. The substantially decreasing CMNN disease burden, despite the 2008 global financial crisis and pandemic-related disruptions, is one of the greatest collective public health successes known. However, these achievements are at risk of being reversed due to major cuts to development assistance for health globally, the effects of which will hit low-income countries with high burden the hardest. Without sustained investment in evidence-based interventions and policies, progress could stall or reverse, leading to widespread human costs and geopolitical instability. Moreover, the rising NCD burden necessitates intensified efforts to mitigate exposure to leading risk factors—eg, air pollution, smoking, and metabolic risks, such as high SBP, BMI, and FPG—including policies that promote food security, healthier diets, physical activity, and equitable and expanded access to potential treatments, such as GLP-1 receptor agonists. Decisive, coordinated action is needed to address long-standing yet growing health challenges, including depressive and anxiety disorders. Yet this can be only part of the solution. Our response to the NCD syndemic—the complex interaction of multiple health risks, social determinants, and systemic challenges—will define the future landscape of global health. To ensure human wellbeing, economic stability, and social equity, global action to sustain and advance health gains must prioritise reducing disparities by addressing socioeconomic and demographic determinants, ensuring equitable health-care access, tackling malnutrition, strengthening health systems, and improving vaccination coverage. We live in times of great opportunity. Funding Gates Foundation and Bloomberg Philanthropies.
UR - https://www.scopus.com/pages/publications/105019277501
U2 - 10.1016/S0140-6736(25)01637-X
DO - 10.1016/S0140-6736(25)01637-X
M3 - Article
C2 - 41092926
AN - SCOPUS:105019277501
SN - 0140-6736
VL - 406
SP - 1873
EP - 1922
JO - The Lancet
JF - The Lancet
IS - 10513
ER -