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Characterising variability and predictors of infant mortality in urban settings: findings from 286 Latin American cities
Journal article   Open access   Peer reviewed

Characterising variability and predictors of infant mortality in urban settings: findings from 286 Latin American cities

Ana F Ortigoza, José A Tapia Granados, J Jaime Miranda, Marcio Alazraqui, Diana Higuera, Georgina Villamonte, Amélia Augusta de Lima Friche, Tonatiuh Barrientos Gutierrez and Ana V Diez Roux
Journal of epidemiology and community health (1979), v 75(3), pp 264-270
Mar 2021
PMID: 33060193
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1136/jech-2020-215137View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

BackgroundUrbanisation in Latin America (LA) is heterogeneous and could have varying implications for infant mortality (IM). Identifying city factors related to IM can help design policies that promote infant health in cities.MethodsWe quantified variability in infant mortality rates (IMR) across cities and examined associations between urban characteristics and IMR in a cross-sectional design. We estimated IMR for the period 2014–2016 using vital registration for 286 cities above 100 000 people in eight countries. Using national censuses, we calculated population size, growth and three socioeconomic scores reflecting living conditions, service provision and population educational attainment. We included mass transit availability of bus rapid transit and subway. Using Poisson multilevel regression, we estimated the per cent difference in IMR for a one SD (1SD) difference in city-level predictors.ResultsOf the 286 cities, 130 had <250 000 inhabitants and 5 had >5 million. Overall IMR was 11.2 deaths/1000 live births. 57% of the total IMR variability across cities was within countries. Higher population growth, better living conditions, better service provision and mass transit availability were associated with 6.0% (95% CI −8.3 to 3.7%), 14.1% (95% CI −18.6 to −9.2), 11.4% (95% CI −16.1 to −6.4) and 6.6% (95% CI −9.2 to −3.9) lower IMR, respectively. Greater population size was associated with higher IMR. No association was observed for population-level educational attainment in the overall sample.ConclusionImproving living conditions, service provision and public transportation in cities may have a positive impact on reducing IMR in LA cities.

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#5 Gender Equality

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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