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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dc.article.number1189861
dc.catalogadorjca
dc.contributor.authorRíos-Blancas, María Jesus
dc.contributor.authorPando-Robles, Victoria
dc.contributor.authorRazo, Christian
dc.contributor.authorCarcamo, César P.
dc.contributor.authorMendoza, Walter
dc.contributor.authorPacheco-Barríos, Kevin
dc.contributor.authorMiranda, J. Jaime
dc.contributor.authorLansingh, Van Charles
dc.contributor.authorDemie, Takele Gezahegn
dc.contributor.authorSaha, Manika
dc.contributor.authorOkonji, Osaretin Christabel
dc.contributor.authorYigit, Arzu
dc.contributor.authorCahuana-Hurtado, Lucero
dc.contributor.authorChacón-Uscamaita, Pamela R.
dc.contributor.authorBernabe, Eduardo
dc.contributor.authorCulquichicon, Carlos
dc.contributor.authorChirinos-Caceres, Jesus Lorenzo
dc.contributor.authorCárdenas, Rosario
dc.contributor.authorAlcalde-Rabanal, Jacqueline Elizabeth
dc.contributor.authorBarrera, Francisco J.
dc.contributor.authorAyala Quintanilla, Beatriz Paulina
dc.contributor.authorShorofi, Seyed Afshin
dc.contributor.authorNuwan, Darshana Wickramasinghe
dc.contributor.authorNuno, Ferreira
dc.contributor.authorLouay, Almidani
dc.contributor.authorVivek, Kumar Gupta
dc.contributor.authorHanie, Karimi
dc.contributor.authorAlayu, Daniel Shewaye
dc.contributor.authorBenziger, Catherine P.
dc.contributor.authorTakeshi, Fukumoto
dc.contributor.authorEbrahim, Mostafavi
dc.contributor.authorElrashdy, Moustafa Mohamed Redwan
dc.contributor.authorMesfin, Gebrehiwot
dc.contributor.authorKhaled, Khatab
dc.contributor.authorAi, Koyanagi
dc.contributor.authorKrapp, Fiorella
dc.contributor.authorLee, Seung
dc.contributor.authorNoori, Maryam
dc.contributor.authorQattea. Ibrahim
dc.contributor.authorRosenthal, Victor Daniel
dc.contributor.authorSakshaug, Joseph W.
dc.contributor.authorWagaye, Birhanu
dc.contributor.authorIman, Zare
dc.contributor.authorOrtega-Altamirano, Doris V.
dc.contributor.authorMurillo-Zamora, Efrén
dc.contributor.authorVervoort, Dominique
dc.contributor.authorSantos Silva, Diego Augusto
dc.contributor.authorAbderrahim, Oulhaj
dc.contributor.authorHerrera-Serna, Brenda Yuliana
dc.contributor.authorMehra, Rahul
dc.contributor.authorMehrdad, Amir-Behghadami
dc.contributor.authorNasrin, Adib
dc.contributor.authorCortés Arancibia, Sandra
dc.contributor.authorAnh, Kim Dang
dc.contributor.authorBinh, Thanh Nguyen
dc.contributor.authorAli, H. Mokdad
dc.contributor.authorHay, Simon I.
dc.contributor.authorMurray, Christopher J. L.
dc.contributor.authorLozano, Rafael
dc.contributor.authorGarcía, Patricia J.
dc.date.accessioned2024-01-19T15:25:17Z
dc.date.available2024-01-19T15:25:17Z
dc.date.issued2023
dc.description.abstractBackground Estimating and analyzing trends and patterns of health loss are essential to promote efficient resource allocation and improve Peru’s healthcare system performance.MethodsUsing 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.ResultsThe 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.ConclusionIn 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.
dc.fuente.origenORCID-ene24
dc.identifier.doi10.3389/fpubh.2023.1189861
dc.identifier.issn2296-2565
dc.identifier.urihttps://doi.org/10.3389/fpubh.2023.1189861
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80712
dc.information.autorucEscuela de Medicina; Cortes Arancibia, Sandra Isabel; 0000-0003-3293-1419; 1005970
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final14
dc.pagina.inicio1
dc.revistaFrontiers in Public Health
dc.rightsacceso abierto
dc.rights.licenseCreative Commons Attribution License (CC BY)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectHealth metrics
dc.subjectMortality
dc.subjectDisability-adjusted life year (DALY)
dc.subjectRisk factors
dc.subjectPeru
dc.subjectGlobal burden of disease
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleEstimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019
dc.typeartículo
dc.volumen11
sipa.codpersvinculados1005970
sipa.trazabilidadORCID;2024-01-08
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