TY - JOUR
T1 - Vulnerable newborn phenotypes in Peru
T2 - a population-based study of 3,841,531 births at national and subnational levels from 2012 to 2021
AU - Cajachagua-Torres, Kim N.
AU - Quezada-Pinedo, Hugo G.
AU - Guzman-Vilca, Wilmer Cristobal
AU - Tarazona-Meza, Carla
AU - Carrillo-Larco, Rodrigo M.
AU - Huicho, Luis
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/3
Y1 - 2024/3
N2 - 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).
AB - 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).
KW - Birth registry
KW - Developing countries
KW - Maternal and child health
KW - Pregnancy
KW - Vulnerable newborn
UR - http://www.scopus.com/inward/record.url?scp=85185611437&partnerID=8YFLogxK
U2 - 10.1016/j.lana.2024.100695
DO - 10.1016/j.lana.2024.100695
M3 - Artículo
AN - SCOPUS:85185611437
SN - 2667-193X
VL - 31
JO - The Lancet Regional Health - Americas
JF - The Lancet Regional Health - Americas
M1 - 100695
ER -