Academic Journal
Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
| Τίτλος: | Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 |
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| Συγγραφείς: | Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, MA, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NM, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Sharma, Saurab, Mitchell, Philip, Sundstorm, Johan, Cullen, Patricia, Xu, Luna, Peprah, Prince, Degenhardt, Louisa, Sitas, Freddy, Schutte, Alta, Pesudovs, Konrad, Peden, Amy, Maulik, Pallab Kumar, Godinho, Myron, Okeke, Sylvester, Brown, Julie, Sachdev, Perminder, Dai-Keller, Zhaoli, Arnlov, Johan, Bhaskar, Sonu, Saddik, Basema, Ye, Pengpeng, Sheikh, Aziz, Anderson, David |
| Πηγή: | urn:ISSN:0140-6736 ; urn:ISSN:1474-547X ; Lancet, 403, 10440, 2100-2132 |
| Στοιχεία εκδότη: | Elsevier |
| Έτος έκδοσης: | 2024 |
| Συλλογή: | UNSW Sydney (The University of New South Wales): UNSWorks |
| Θεματικοί όροι: | 4202 Epidemiology, 4206 Public Health, 42 Health Sciences, Social Determinants of Health, Rare Diseases, Behavioral and Social Science, Health Disparities and Racial or Ethnic Minority Health Research, Minority Health, Health Disparities, Aging, Coronaviruses Disparities and At-Risk Populations, Infectious Diseases, Basic Behavioral and Social Science, Emerging Infectious Diseases, Biodefense, Coronaviruses, 2.4 Surveillance and distribution, 2.5 Research design and methodologies (aetiology), Generic health relevance, 3 Good Health and Well Being, Humans, Life Expectancy, Cause of Death, Global Burden of Disease, Female, COVID-19, Male, Aged, Middle Aged, Adult |
| Περιγραφή: | Background: Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. Methods: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model—a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates—with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on ... |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | unknown |
| Relation: | https://hdl.handle.net/1959.4/102184 |
| DOI: | 10.1016/S0140-6736(24)00367-2 |
| Διαθεσιμότητα: | https://hdl.handle.net/1959.4/102184 https://doi.org/10.1016/S0140-6736(24)00367-2 |
| Rights: | open access ; https://purl.org/coar/access_right/c_abf2 ; CC BY ; https://creativecommons.org/licenses/by/4.0/ |
| Αριθμός Καταχώρησης: | edsbas.E64CAC0E |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.1016/S0140-6736(24)00367-2 |
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