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Vulnerable newborn phenotypes in Peru: a population-based study of 3,841,531 births at national and subnational levels from 2012 to 2021

  • Kim N. Cajachagua-Torres(corresponding author)
    ,
  • Hugo G. Quezada-Pinedo
    ,
  • Wilmer Cristobal Guzman-Vilca
    ,
  • ,
  • Rodrigo M. Carrillo-Larco
    ,
  • Luis Huicho
*Corresponding author for this work
  • Universidad Peruana Cayetano Heredia
    ,
  • Erasmus MC
    ,
  • New York University Medical School
    ,
  • Institute of Primary Health Care (BIHAM)
    ,
  • Sociedad Científica de Estudiantes de Medicina Cayetano Heredia
    ,
  • Universidad Peruana Cayetano Heredia, Facultad de Medicina Alberto Hurtado
Research Output:
Contribution to journal
Article
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Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

100695

Journal (Volume, Issue Number)

The Lancet Regional Health - Americas (Volume 31)

Publication milestones

  • Published - 03/2024

Publication status

Published - 03/2024

Publication IDs

  • Scopus: 85185611437

Abstract

Background: We aimed to examine the national and subnational prevalence of vulnerable newborn phenotypes in Peru, 2012–2021. Methods: Newborn phenotypes were defined using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight [LBW], non-LBW) using the Peruvian National Birth Registry as six (by excluding birthweight) and ten newborn phenotypes (using all three outcomes). Small phenotypes (with at least one classification of PT, SGA, or LBW) were further considered. Using individual-level data, we stratified the phenotypes by maternal educational level, maternal age, healthcare insurance, altitude of residence, and geographic region (Coast, Andes, and Amazon). Findings: The prevalence of the five vulnerable newborn phenotypes for the study period was LGA+T (15.2%), AGA+PT (5.2%), SGA+T (4.6%), LGA+PT (0.8%), and SGA+PT (0.7%). The Coast had a higher prevalence of newborns with large phenotypes (19.4%) and the Highlands a higher prevalence of newborns with small phenotypes (12.5%). Mothers with poor socioeconomic status, extreme ages and living at high altitude had a higher prevalence of newborns with small phenotypes, and mothers who were wealthier, more educated, and older had a higher prevalence of infants with large phenotypes. Interpretation: Our findings cautiously suggest that socioeconomic and geographic disparities may play a crucial role in shaping vulnerable newborn phenotypes at national and subnational level in Peru. Further studies using longitudinal data are needed to corroborate our findings and to identify individual-level risk factors. Funding: Ter Meulen Grant from the KNAW Medical Sciences Fund of the Royal Netherlands Academy of Arts and Sciences ( KNAWWF/1085/TMB406, KNAWWF/1327/TMB202116), Fogarty Program ( D43TW011502).

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Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well