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Background: Peru has experienced unprecedented mortality and economic toll due to the COVID-19 (Coronavirus disease 2019) pandemic in 2020. We aimed to assess the association between socioeconomic factors and excess death rate, and to explore the relative contribution of these factors to the differences in excess death rate during January–December 2020. Methods: Different national secondary data sources were used to describe excess death rates and different determinants, from distal to proximal. A confounding-adjusted multilevel mixed-effects linear regression was used to assess the association between these variables and excess death rates. Their relative contributions to the differences in excess death rate between the periods with the highest and lowest excess death rates were analyzed through regression-based Oaxaca-Blinder decomposition methods. Findings: The excess death rate showed an increasing trend in all regions, with different slopes. The confounding-adjusted multilevel analysis showed that higher healthcare access was associated with lower excess death rates (difference (95%CI) -0.004 (-0.005, -0.002)), whereas COVID-19 incidence was associated with higher excess death rates (difference (95%CI) 0.052 (0.042, 0.063)). The decomposition analysis showed COVID-19 incidence (41.9%), per capita income (19.4%) and unemployment rate (14.6%) as the main risk factors, while the main protective factors included per capita health expenditure (44.7%), healthcare access (33.2%) and health insurance (12.1%). Interpretation: Our study suggests that the excess death rate during the COVID-19 pandemic in Peru may have been influenced by other factors besides COVID-19 incidence, from distal to proximal drivers, including socioeconomic determinants, factors outside and within the health sector, and susceptibility factors. Further studies at individual level are needed to corroborate our findings.

OBJECTIVE: To determine if breastfeeding for at least the first six months of life is associated with overweight and obesity in children 2 to 5 years old. METHOD: Cross sectional analysis of data from national demographic and health surveys conducted in Bolivia, Colombia and Peru. Overweight and obesity were defined using World Health Organization standard definitions. Odds ratios (OR) were calculated using multinomial logistic regression. RESULTS: The prevalence of obesity in children 2 to 5 years old was 10.4% (95% confidence interval [95%CI]: 8.2-12.6) in Bolivia, 4.9% in Colombia (95%CI: 4.0-5.8), and 6.4% (95%CI: 5.2-8.0) in Peru. Prevalence of exclusive breastfeeding for at least the first 6 months in the study population was 89.9% (95%CI: 87.8-91.9) in Bolivia, 73.9% (95%CI: 72.2-75.6) in Colombia, and 92.8% (95%CI: 91.2-92.4) in Peru. Exclusive breastfeeding was associated with a decreased risk of obesity in children as compared to no breastfeeding or breastfeeding for less than 6 months in Bolivia (OR = .30; 95%CI: .16-.57) and a marginal association in Colombia (OR = .71; 95%CI: .47-1.06) and Peru (OR = .49; 95%CI: 0.23-1.04). No association between breastfeeding and overweight was found. CONCLUSION: Exclusive breastfeeding for at least the first six months of life decreases the risk of obesity in children 2 to 5 years old in Bolivia. A similar but weaker pattern was observed for children in Colombia and Peru.

Summary Background Peru is an upper-middle-income country with wide social and regional disparities. In recent years, sustained multisectoral antipoverty programmes involving governments, political parties, and civil society have included explicit health and nutrition goals and spending increased sharply. We did a country case study with the aim of documenting Peru's progress in reproductive, maternal, neonatal, and child health from 2000–13, and explored the potential determinants. Methods We examined the outcomes of health interventions coverage, under-5 mortality, neonatal mortality, and prevalence of under-5 stunting. We obtained data from interviews with key informants, a literature review of published and unpublished data, national censuses, and governmental reports. We obtained information on social determinants of health, including economic growth, poverty, unmet basic needs, urbanisation, women's education, water supply, fertility rates, and child nutrition from the annual national households surveys and the Peruvian Demographic and Health Surveys. We obtained national mortality data from the Interagency Group for Child Mortality Estimation, and calculated subnational rates from 11 surveys. Analyses were stratified by region, wealth quintiles, and urban or rural residence. We calculated coverage indicators for the years 2000–13, and we used the Lives Saved Tool (LiST) to estimate the effect of changes in intervention coverage and in nutritional status on mortality. Findings From 2000 to 2013, under-5 mortality fell by 58% from 39·8 deaths per 1000 livebirths to 16·7. LiST, which was used to predict the decline in mortality arising from changes in fertility rates, water and sanitation, undernutrition, and coverage of indicators of reproductive, maternal, neonatal, and child health predicted that the under-5 mortality rate would fall from 39·8 to 28·4 per 1000 livebirths, accounting for 49·2% of the reported reduction. Neonatal mortality fell by 51% from 16·2 deaths per 1000 livebirths to 8·0. Stunting prevalence remained stable at around 30% until 2007, decreasing to 17·5% by 2013, and the composite coverage index for essential health interventions increased from 75·1% to 82·6%, with faster increases among the poor, in rural areas, and in the Andean region. Socioeconomic, urban–rural, and regional inequalities in coverage, mortality, and stunting were substantially reduced. The proportion of the population living below the poverty line reduced from 47·8% to 23·9%, women with fewer than 4 years of schooling reduced from 11·5% to 6·9%, urbanisation increased from 68·1% to 75·6%, and the total fertility rate decreased from 3·0 children per woman to 2·4. We interviewed 175 key informants and they raised the following issues: economic growth, improvement of social determinants, civil society empowerment and advocacy, out-of-health and within-health-sector changes, and sustained implementation of evidence-based, pro-poor reproductive, maternal, neonatal, and child health interventions. Interpretation Peru has made substantial progress in reducing neonatal and under-5 mortality, and child stunting. This country is a good example of how a combination of political will, economic growth, broad societal participation, strategies focused on poor people, and increased spending in health and related sectors can achieve significant progress in reproductive, maternal, neonatal, and child health. The remaining challenges include continuing to address inequalities in wealth distribution, poverty, and access to basic services, especially in the Amazon and Andean rural areas. Funding Bill & Melinda Gates Foundation.

(1) IECS Institutefor ClinicalEffectiveness and HealthPolicy, Buenos Aires, Argentina; (2) School of PublicHealth, University of Buenos Aires, Argentina;(3) Universidad de La Frontera – CHILE; (4) Universidad Peruana Cayetano Heredia PERU (5); Universidad de San Andres BOLIVIA; (6) Fondo Nacional de Recursos (FNR) -URUGUAY; (7) Agencia Nacional de VigilânciaSanitaria (ANVISA) BRAZIL; (8) BrazilianNationalCancerInstitute-INCA; (9) PediatricNational Hospital “J.P.Garrahan”, Bs.As., Argentina.