Cajachagua-Torres, Kim N; Quezada-Pinedo, Hugo G; Guzman-Vilca, Wilmer Cristobal; Tarazona-Meza, Carla; Carrillo-Larco, Rodrigo M; Huicho, Luis (2024). Vulnerable newborn phenotypes in Peru: a population-based study of 3,841,531 births at national and subnational levels from 2012 to 2021. Lancet Regional Health. America, 31, p. 100695. Elsevier 10.1016/j.lana.2024.100695
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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).
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Medical Education > Institute of General Practice and Primary Care (BIHAM) |
UniBE Contributor: |
Quezada Pinedo, Hugo Guillermo |
Subjects: |
600 Technology > 610 Medicine & health 300 Social sciences, sociology & anthropology > 360 Social problems & social services |
ISSN: |
2667-193X |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
28 Mar 2024 10:20 |
Last Modified: |
02 Apr 2024 15:35 |
Publisher DOI: |
10.1016/j.lana.2024.100695 |
PubMed ID: |
38500961 |
Uncontrolled Keywords: |
Birth registry Developing countries Maternal and child health Pregnancy Vulnerable newborn |
BORIS DOI: |
10.48350/194514 |
URI: |
https://boris.unibe.ch/id/eprint/194514 |