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Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6-4.3) with a prevalence of 454.6 million cases (417.4-499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4-225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9-3.6) deaths. With 262.4 million (224.1-309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively. Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries.
Global burden of chronic respiratory diseases and risk factors, 1990-2019: an update from the Global Burden of Disease Study 2019
Momtazmanesh S.;Moghaddam S. S.;Ghamari S. -H.;Rad E. M.;Rezaei N.;Shobeiri P.;Aali A.;Abbasi-Kangevari M.;Abbasi-Kangevari Z.;Abdelmasseh M.;Abdoun M.;Abdulah D. M.;Md Abdullah A. Y.;Abedi A.;Abolhassani H.;Abrehdari-Tafreshi Z.;Achappa B.;Adane D. E. A.;Adane T. D.;Addo I. Y.;Adnan M.;Adnani Q. E. S.;Ahmad S.;Ahmadi A.;Ahmadi K.;Ahmed A.;Ahmed A.;Rashid T. A.;Al Hamad H.;Alahdab F.;Alemayehu A.;Alif S. M.;Aljunid S. M.;Almustanyir S.;Altirkawi K. A.;Alvis-Guzman N.;Dehkordi J. A.;Amir-Behghadami M.;Ancuceanu R.;Andrei C. L.;Andrei T.;Antony C. M.;Anyasodor A. E.;Arabloo J.;Arulappan J.;Ashraf T.;Athari S. S.;Attia E. F.;Ayele M. T.;Azadnajafabad S.;Babu A. S.;Bagherieh S.;Baltatu O. C.;Banach M.;Bardhan M.;Barone-Adesi F.;Barrow A.;Basu S.;Bayileyegn N. S.;Bensenor I. M.;Bhardwaj N.;Bhardwaj P.;Bhat A. N.;Bhattacharyya K.;Bouaoud S.;Braithwaite D.;Brauer M.;Butt M. H.;Butt Z. A.;Calina D.;Camera L. A.;Chanie G. S.;Charalampous P.;Chattu V. K.;Chimed-Ochir O.;Chu D. -T.;Cohen A. J.;Cruz-Martins N.;Dadras O.;Darwesh A. M.;Das S.;Debela S. A.;Delgado-Ortiz L.;Dereje D.;Dianatinasab M.;Diao N.;Diaz D.;Digesa L. E.;Dirirsa G.;Doku P. N.;Dongarwar D.;Douiri A.;Dsouza H. L.;Eini E.;Ekholuenetale M.;Ekundayo T. C.;Elagali A. E. M.;Elhadi M.;Enyew D. B.;Erkhembayar R.;Etaee F.;Fagbamigbe A. F.;Faro A.;Fatehizadeh A.;Fekadu G.;Filip I.;Fischer F.;Foroutan M.;Franklin R. C.;Gaal P. A.;Gaihre S.;Gaipov A.;Gebrehiwot M.;Gerema U.;Getachew M. E.;Getachew T.;Ghafourifard M.;Ghanbari R.;Ghashghaee A.;Gholami A.;Gil A. U.;Golechha M.;Goleij P.;Golinelli D.;Guadie H. A.;Gupta B.;Gupta S.;Gupta V. B.;Gupta V. K.;Hadei M.;Halwani R.;Hanif A.;Hargono A.;Harorani M.;Hartono R. K.;Hasani H.;Hashi A.;Hay S. I.;Heidari M.;Hellemons M. E.;Herteliu C.;Holla R.;Horita N.;Hoseini M.;Hosseinzadeh M.;Huang J.;Hussain S.;Hwang B. -F.;Iavicoli I.;Ibitoye S. E.;Ibrahim S.;Ilesanmi O. S.;Ilic I. M.;Ilic M. D.;Immurana M.;Ismail N. E.;Merin J L.;Jakovljevic M.;Jamshidi E.;Janodia M. D.;Javaheri T.;Jayapal S. K.;Jayaram S.;Jha R. P.;Johnson O.;Joo T.;Joseph N.;Jozwiak J. J.;Kraghuabr V.;Kaambwa B.;Kabir Z.;Kalankesh L. R.;Kalhor R.;Kandel H.;Karanth S. D.;Karaye I. M.;Kassa B. G.;Kassie G. M.;Keikavoosi-Arani L.;Keykhaei M.;Khajuria H.;Khan I. A.;Khan M. A. B.;Khan Y. H.;Khreis H.;Kim M. S.;Kisa A.;Kisa S.;Knibbs L. D.;Kolkhir P.;Komaki S.;Kompani F.;Koohestani H. R.;Koolivand A.;Korzh O.;Koyanagi A.;Krishan K.;Krohn K. J.;Kumar N.;Kumar N.;Kurmi O. P.;Kuttikkattu A.;Vecchia C. L.;Lam J.;Lan Q.;Lasrado S.;Latief K.;Lauriola P.;Lee S. -W.;Lee Y. H.;Legesse S. M.;Lenzi J.;Li M. -C.;Lin R. -T.;Liu G.;Liu W.;Lo C. -H.;Lorenzovici L.;Lu Y.;Mahalingam S.;Mahmoudi E.;Mahotra N. B.;Malekpour M. -R.;Malik A. A.;Mallhi T. H.;Malta D. C.;Mansouri B.;Mathews E.;Maulud S. Q.;Mechili E. A.;Nasab E. M.;Menezes R. G.;Mengistu D. A.;Mentis A. -F. A.;Meshkat M.;Mestrovic T.;De Sa A. C. M. G. N.;Mirrakhimov E. M.;Misganaw A.;Mithra P.;Moghadasi J.;Mohammadi E.;Mohammadi M.;Mohammadshahi M.;Mohammed S.;Mohan S.;Moka N.;Monasta L.;Moni M. A.;Moniruzzaman M.;Montazeri F.;Moradi M.;Mostafavi E.;Mpundu-Kaambwa C.;Murillo-Zamora E.;Murray C. J. L.;Nair T. S.;Nangia V.;Swamy S. N.;Narayana A. I.;Natto Z. S.;Nayak B. P.;Negash W. W.;Nena E.;Kandel S. N.;Niazi R. K.;De Sa A. T. N.;Nowroozi A.;Nzoputam C. I.;Nzoputam O. J.;Oancea B.;Obaidur R. M.;Odukoya O. O.;Okati-Aliabad H.;Okekunle A. P.;Okonji O. C.;Olagunju A. T.;Bali A. O.;Ostojic S. M.;Mahesh P. A.;Padron-Monedero A.;Padubidri J. R.;Fallahy M. T. P.;Palicz T.;Pana A.;Park E. -K.;Patel J.;Paudel R.;Paudel U.;Pedersini P.;Pereira M.;Pereira R. B.;Petcu I. -R.;Pirestani M.;Postma M. J.;Prashant A.;Rabiee M.;Radfar A.;Rafiei S.;Rahim F.;Ur Rahman M. H.;Rahman M.;Rahman M. A.;Rahmani A. M.;Rahmani S.;Rahmanian V.;Rajput P.;Rana J.;Rao C. R.;Rao S. J.;Rashedi S.;Rashidi M. -M.;Ratan Z. A.;Rawaf D. L.;Rawaf S.;Rawal L.;Rawassizadeh R.;Razeghinia M. S.;Redwan E. M. M.;Rezaei M.;Rezaei N.;Rezaei N.;Rezaeian M.;Rodrigues M.;Rodriguez J. A. B.;Roever L.;Rojas-Rueda D.;Rudd K. E.;Saad A. M. A.;Sabour S.;Saddik B.;Sadeghi E.;Sadeghi M.;Saeed U.;Sahebazzamani M.;Sahebkar A.;Sahoo H.;Sajid M. R.;Sakhamuri S.;Salehi S.;Samy A. M.;Santric-Milicevic M. M.;Jose B. P. S.;Sathian B.;Satpathy M.;Saya G. K.;Senthilkumaran S.;Seylani A.;Shahabi S.;Shaikh M. A.;Shanawaz M.;Shannawaz M.;Sheikhi R. A.;Shekhar S.;Sibhat M. M.;Simpson C. R.;Singh J. A.;Singh P.;Singh S.;Skryabin V. Y.;Skryabina A. A.;Soltani-Zangbar M. S.;Song S.;Soyiri I. N.;Steiropoulos P.;Stockfelt L.;Sun J.;Takahashi K.;Talaat I. M.;Tan K. -K.;Tat N. Y.;Tat V. Y.;Taye B. T.;Thangaraju P.;Thapar R.;Thienemann F.;Tiyuri A.;Tran M. T. N.;Tripathy J. P.;Car L. T.;Tusa B. S.;Ullah I.;Ullah S.;Vacante M.;Valdez P. R.;Valizadeh R.;Van Boven J. F. M.;Vasankari T. J.;Vaziri S.;Violante F. S.;Vo B.;Wang N.;Wei M. Y.;Westerman R.;Wickramasinghe N. D.;Xu S.;Xu X.;Yadav L.;Yismaw Y.;Yon D. K.;Yonemoto N.;Yu C.;Yu Y.;Yunusa I.;Zahir M.;Zangiabadian M.;Zareshahrabadi Z.;Zarrintan A.;Zastrozhin M. S.;Zegeye Z. B.;Zhang Y.;Naghavi M.;Larijani B.;Farzadfar F.
2023-01-01
Abstract
Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6-4.3) with a prevalence of 454.6 million cases (417.4-499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4-225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9-3.6) deaths. With 262.4 million (224.1-309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively. Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/164482
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.
