Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019

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“Background: Estimating and analyzing trends and patterns of health loss are essential to promote efficient resource allocation and improve Peru’s healthcare system performance. Methods: Using estimates from the Global Burden of Disease (GBD), Injuries, and Risk Factors Study (2019), we assessed mor...

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Autores: Rios-Blancas, Maria Jesus , Pando-Robles, Victoria , Razo, Christian , Mendoza, Walter , Carcamo, Cesar P. , Pacheco-Barrios, Kevin , Miranda, J. Jaime , Lansingh, Van Charles , Gezahegn Demie, Takele , Saha, Manika , Okonji, Osaretin Christabel , Yigit, Arzu , Cahuana-Hurtado, Lucero ,  Chacón-Uscamaita, Pamela R.,  Bernabe, Eduardo, Culquichicon, Carlos , Chirinos-Caceres, Jesus Lorenzo , Cárdenas, Rosario , Alcalde-Rabana, Jacqueline Elizabeth , Barrera, Francisco J. 
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Privada Norbert Wiener
Repositorio:UWIENER-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.uwiener.edu.pe:20.500.13053/9552
Enlace del recurso:https://hdl.handle.net/20.500.13053/9552
Nivel de acceso:acceso abierto
Materia:health metrics, mortality, disability-adjusted life year (DALY), risk factors, Peru, global burden of disease
3.03.00 -- Ciencias de la salud
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dc.title.es_PE.fl_str_mv Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
title Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
spellingShingle Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
Rios-Blancas, Maria Jesus 
health metrics, mortality, disability-adjusted life year (DALY), risk factors, Peru, global burden of disease
3.03.00 -- Ciencias de la salud
title_short Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
title_full Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
title_fullStr Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
title_full_unstemmed Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
title_sort Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
author Rios-Blancas, Maria Jesus 
author_facet Rios-Blancas, Maria Jesus 
Pando-Robles, Victoria 
Razo, Christian 
Mendoza, Walter 
Carcamo, Cesar P. 
Pacheco-Barrios, Kevin 
Miranda, J. Jaime 
Lansingh, Van Charles 
Gezahegn Demie, Takele 
Saha, Manika 
Okonji, Osaretin Christabel 
Yigit, Arzu 
Cahuana-Hurtado, Lucero 
 Chacón-Uscamaita, Pamela R.
 Bernabe, Eduardo
Culquichicon, Carlos 
Chirinos-Caceres, Jesus Lorenzo 
Cárdenas, Rosario 
Alcalde-Rabana, Jacqueline Elizabeth 
Barrera, Francisco J. 
author_role author
author2 Pando-Robles, Victoria 
Razo, Christian 
Mendoza, Walter 
Carcamo, Cesar P. 
Pacheco-Barrios, Kevin 
Miranda, J. Jaime 
Lansingh, Van Charles 
Gezahegn Demie, Takele 
Saha, Manika 
Okonji, Osaretin Christabel 
Yigit, Arzu 
Cahuana-Hurtado, Lucero 
 Chacón-Uscamaita, Pamela R.
 Bernabe, Eduardo
Culquichicon, Carlos 
Chirinos-Caceres, Jesus Lorenzo 
Cárdenas, Rosario 
Alcalde-Rabana, Jacqueline Elizabeth 
Barrera, Francisco J. 
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rios-Blancas, Maria Jesus 
Pando-Robles, Victoria 
Razo, Christian 
Mendoza, Walter 
Carcamo, Cesar P. 
Pacheco-Barrios, Kevin 
Miranda, J. Jaime 
Lansingh, Van Charles 
Gezahegn Demie, Takele 
Saha, Manika 
Okonji, Osaretin Christabel 
Yigit, Arzu 
Cahuana-Hurtado, Lucero 
 Chacón-Uscamaita, Pamela R.
 Bernabe, Eduardo
Culquichicon, Carlos 
Chirinos-Caceres, Jesus Lorenzo 
Cárdenas, Rosario 
Alcalde-Rabana, Jacqueline Elizabeth 
Barrera, Francisco J. 
dc.subject.es_PE.fl_str_mv health metrics, mortality, disability-adjusted life year (DALY), risk factors, Peru, global burden of disease
topic health metrics, mortality, disability-adjusted life year (DALY), risk factors, Peru, global burden of disease
3.03.00 -- Ciencias de la salud
dc.subject.ocde.es_PE.fl_str_mv 3.03.00 -- Ciencias de la salud
description “Background: Estimating and analyzing trends and patterns of health loss are essential to promote efficient resource allocation and improve Peru’s healthcare system performance. Methods: Using estimates from the Global Burden of Disease (GBD), Injuries, and Risk Factors Study (2019), we assessed mortality and disability in Peru from 1990 to 2019. We report demographic and epidemiologic trends in terms of population, life expectancy at birth (LE), mortality, incidence, prevalence, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) caused by the major diseases and risk factors in Peru. Finally, we compared Peru with 16 countries in the Latin American (LA) region. Results: The Peruvian population reached 33.9 million inhabitants (49.9% women) in 2019. From 1990 to 2019, LE at birth increased from 69.2 (95% uncertainty interval 67.8–70.3) to 80.3 (77.2–83.2) years. This increase was driven by the decline in under-5 mortality (−80.7%) and mortality from infectious diseases in older age groups (+60 years old). The number of DALYs in 1990 was 9.2 million (8.5–10.1) and reached 7.5 million (6.1–9.0) in 2019. The proportion of DALYs due to non-communicable diseases (NCDs) increased from 38.2% in 1990 to 67.9% in 2019. The all-ages and age-standardized DALYs rates and YLLs rates decreased, but YLDs rates remained constant. In 2019, the leading causes of DALYs were neonatal disorders, lower respiratory infections (LRIs), ischemic heart disease, road injuries, and low back pain. The leading risk factors associated with DALYs in 2019 were undernutrition, high body mass index, high fasting plasma glucose, and air pollution. Before the COVID-19 pandemic, Peru experienced one of the highest LRIs-DALYs rates in the LA region. Conclusion: In the last three decades, Peru experienced significant improvements in LE and child survival and an increase in the burden of NCDs and associated disability. The Peruvian healthcare system must be redesigned to respond to this epidemiological transition. The new design should aim to reduce premature deaths and maintain healthy longevity, focusing on effective coverage and treatment of NCDs and reducing and managing the related disability.“
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-10-16T19:56:49Z
dc.date.available.none.fl_str_mv 2023-10-16T19:56:49Z
dc.date.issued.fl_str_mv 2023-06-22
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.13053/9552
dc.identifier.doi.none.fl_str_mv 10.3389/fpubh.2023.1189861
url https://hdl.handle.net/20.500.13053/9552
identifier_str_mv 10.3389/fpubh.2023.1189861
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv Frontiers Media SA
dc.publisher.country.es_PE.fl_str_mv CHE
dc.source.none.fl_str_mv reponame:UWIENER-Institucional
instname:Universidad Privada Norbert Wiener
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spelling Rios-Blancas, Maria Jesus Pando-Robles, Victoria Razo, Christian Mendoza, Walter Carcamo, Cesar P. Pacheco-Barrios, Kevin Miranda, J. Jaime Lansingh, Van Charles Gezahegn Demie, Takele Saha, Manika Okonji, Osaretin Christabel Yigit, Arzu Cahuana-Hurtado, Lucero  Chacón-Uscamaita, Pamela R. Bernabe, EduardoCulquichicon, Carlos Chirinos-Caceres, Jesus Lorenzo Cárdenas, Rosario Alcalde-Rabana, Jacqueline Elizabeth Barrera, Francisco J. 2023-10-16T19:56:49Z2023-10-16T19:56:49Z2023-06-22https://hdl.handle.net/20.500.13053/955210.3389/fpubh.2023.1189861“Background: Estimating and analyzing trends and patterns of health loss are essential to promote efficient resource allocation and improve Peru’s healthcare system performance. Methods: Using estimates from the Global Burden of Disease (GBD), Injuries, and Risk Factors Study (2019), we assessed mortality and disability in Peru from 1990 to 2019. We report demographic and epidemiologic trends in terms of population, life expectancy at birth (LE), mortality, incidence, prevalence, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) caused by the major diseases and risk factors in Peru. Finally, we compared Peru with 16 countries in the Latin American (LA) region. Results: The Peruvian population reached 33.9 million inhabitants (49.9% women) in 2019. From 1990 to 2019, LE at birth increased from 69.2 (95% uncertainty interval 67.8–70.3) to 80.3 (77.2–83.2) years. This increase was driven by the decline in under-5 mortality (−80.7%) and mortality from infectious diseases in older age groups (+60 years old). The number of DALYs in 1990 was 9.2 million (8.5–10.1) and reached 7.5 million (6.1–9.0) in 2019. The proportion of DALYs due to non-communicable diseases (NCDs) increased from 38.2% in 1990 to 67.9% in 2019. The all-ages and age-standardized DALYs rates and YLLs rates decreased, but YLDs rates remained constant. In 2019, the leading causes of DALYs were neonatal disorders, lower respiratory infections (LRIs), ischemic heart disease, road injuries, and low back pain. The leading risk factors associated with DALYs in 2019 were undernutrition, high body mass index, high fasting plasma glucose, and air pollution. Before the COVID-19 pandemic, Peru experienced one of the highest LRIs-DALYs rates in the LA region. Conclusion: In the last three decades, Peru experienced significant improvements in LE and child survival and an increase in the burden of NCDs and associated disability. The Peruvian healthcare system must be redesigned to respond to this epidemiological transition. The new design should aim to reduce premature deaths and maintain healthy longevity, focusing on effective coverage and treatment of NCDs and reducing and managing the related disability.“application/pdfengFrontiers Media SACHEinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/health metrics, mortality, disability-adjusted life year (DALY), risk factors, Peru, global burden of disease3.03.00 -- Ciencias de la saludEstimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:UWIENER-Institucionalinstname:Universidad Privada Norbert Wienerinstacron:UWIENERPublicationTEXTfpubh-11-1189861.pdf.txtfpubh-11-1189861.pdf.txtExtracted texttext/plain82430https://dspace-uwiener.metabuscador.org/bitstreams/e3883716-7911-4ff9-8b23-3b8ee179121f/download672dd0bd43ef8b9056caa5cc1a6ad4f9MD53THUMBNAILfpubh-11-1189861.pdf.jpgfpubh-11-1189861.pdf.jpgGenerated Thumbnailimage/jpeg10930https://dspace-uwiener.metabuscador.org/bitstreams/3c96a143-7bc6-42a3-8e2e-7bfd2be2e2b3/download215133281bb50e786362c74da146ba41MD54ORIGINALfpubh-11-1189861.pdffpubh-11-1189861.pdfapplication/pdf9526298https://dspace-uwiener.metabuscador.org/bitstreams/d542760b-1f51-4494-bb3e-060e8644c5b6/download4ea99b575412c0805ab72ffccc94dffcMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://dspace-uwiener.metabuscador.org/bitstreams/1d73d756-8515-48e5-ad19-e04b016ece14/download8a4605be74aa9ea9d79846c1fba20a33MD5220.500.13053/9552oai:dspace-uwiener.metabuscador.org:20.500.13053/95522024-12-13 14:35:55.216https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://dspace-uwiener.metabuscador.orgRepositorio Institucional de la Universidad de Wienerbdigital@metabiblioteca.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