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2500-g Low Birth Weight Cutoff: History and Implications for Future Research and Policy

Purpose To research the origins of the 2500 g cutoff for low birth weight and the evolution of indicators to identify newborns at high mortality risk. Description Early research concluded “prematurity”, measured mainly through birth weight, was responsible for increased health risks. The World Healt...

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Detalles Bibliográficos
Autores principales: Hughes, Michelle M., Black, Robert E., Katz, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290050/
https://www.ncbi.nlm.nih.gov/pubmed/27449779
http://dx.doi.org/10.1007/s10995-016-2131-9
Descripción
Sumario:Purpose To research the origins of the 2500 g cutoff for low birth weight and the evolution of indicators to identify newborns at high mortality risk. Description Early research concluded “prematurity”, measured mainly through birth weight, was responsible for increased health risks. The World Health Organization’s original prematurity definition was birth weight ≤2500 g. 1960s research clarified the difference between gestational age and birth weight leading to questions of the causal role of birth weight for health outcomes. Focus turned to two etiologies of low birth weight, preterm births and intrauterine growth restriction, which were both causally associated with morbidity and mortality but through different pathways; a standard cutoff based on gestational age or customized cutoff was debated. Assessment While low birth weight can be due to preterm or intrauterine growth restriction (or both), the historic 2500 g cutoff remains the standard by which the majority of policy makers define low birth weight and use it to predict perinatal and infant adverse outcomes. Conclusion Current efforts to refocus research on preterm births and poor intrauterine growth are important to understanding the direct causes of mortality rather than low birth weight as a convenient surrogate. Such distinctions also allow researchers and practitioners to test and target interventions outcomes more effectively.