TY - JOUR
T1 - Estimating mortality and disability in Peru before the COVID-19 pandemic
T2 - a systematic analysis from the Global Burden of the Disease Study 2019
AU - Rios-Blancas, Maria Jesus
AU - Pando-Robles, Victoria
AU - Razo, Christian
AU - Carcamo, Cesar P.
AU - Mendoza, Walter
AU - Pacheco-Barrios, Kevin
AU - Miranda, J. Jaime
AU - Lansingh, Van Charles
AU - Demie, Takele Gezahegn
AU - Saha, Manika
AU - Okonji, Osaretin Christabel
AU - Yigit, Arzu
AU - Cahuana-Hurtado, Lucero
AU - Chacón-Uscamaita, Pamela R.
AU - Bernabe, Eduardo
AU - Culquichicon, Carlos
AU - Chirinos-Caceres, Jesus Lorenzo
AU - Cárdenas, Rosario
AU - Alcalde-Rabanal, Jacqueline Elizabeth
AU - Barrera, Francisco J.
AU - Quintanilla, Beatriz Paulina Ayala
AU - Shorofi, Seyed Afshin
AU - Wickramasinghe, Nuwan Darshana
AU - Ferreira, Nuno
AU - Almidani, Louay
AU - Gupta, Vivek Kumar
AU - Karimi, Hanie
AU - Alayu, Daniel Shewaye
AU - Benziger, Catherine P.
AU - Fukumoto, Takeshi
AU - Mostafavi, Ebrahim
AU - Redwan, Elrashdy Moustafa Mohamed
AU - Gebrehiwot, Mesfin
AU - Khatab, Khaled
AU - Koyanagi, Ai
AU - Krapp, Fiorella
AU - Lee, Seung
AU - Noori, Maryam
AU - Qattea, Ibrahim
AU - Rosenthal, Victor Daniel
AU - Sakshaug, Joseph W.
AU - Wagaye, Birhanu
AU - Zare, Iman
AU - Ortega-Altamirano, Doris V.
AU - Murillo-Zamora, Efrén
AU - Vervoort, Dominique
AU - Silva, Diego Augusto Santos
AU - Oulhaj, Abderrahim
AU - Herrera-Serna, Brenda Yuliana
AU - Mehra, Rahul
AU - Amir-Behghadami, Mehrdad
AU - Adib, Nasrin
AU - Cortés, Sandra
AU - Dang, Anh Kim
AU - Nguyen, Binh Thanh
AU - Mokdad, Ali H.
AU - Hay, Simon I.
AU - Murray, Christopher J.L.
AU - Lozano, Rafael
AU - García, Patricia J.
N1 - Publisher Copyright:
Copyright © 2023 Rios-Blancas, Pando-Robles, Razo, Carcamo, Mendoza, Pacheco-Barrios, Miranda, Lansingh, Demie, Saha, Okonji, Yigit, Cahuana-Hurtado, Chacón-Uscamaita, Bernabe, Culquichicon, Chirinos-Caceres, Cárdenas, Alcalde-Rabanal, Barrera, Quintanilla, Shorofi, Wickramasinghe, Ferreira, Almidani, Gupta, Karimi, Alayu, Benziger, Fukumoto, Mostafavi, Redwan, Gebrehiwot, Khatab, Koyanagi, Krapp, Lee, Noori, Qattea, Rosenthal, Sakshaug, Wagaye, Zare, Ortega-Altamirano, Murillo-Zamora, Vervoort, Silva, Oulhaj, Herrera-Serna, Mehra, Amir-Behghadami, Adib, Cortés, Dang, Nguyen, Mokdad, Hay, Murray, Lozano and García.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Peru
KW - disability-adjusted life year (DALY)
KW - global burden of disease
KW - health metrics
KW - mortality
KW - risk factors
UR - https://www.scopus.com/pages/publications/85164141435
U2 - 10.3389/fpubh.2023.1189861
DO - 10.3389/fpubh.2023.1189861
M3 - Artículo
C2 - 37427272
AN - SCOPUS:85164141435
SN - 2296-2565
VL - 11
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 1189861
ER -
SDG 2 Zero Hunger
SDG 3 Good Health and Well-being