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[Prevalence of preterm birth according to birth weight group: a systematic review]

Mariângela F Silveira, Alicia Matijasevich, Bernardo L Horta

    Revista De Saude Publica
    |March 15, 2014
    PubMed

    Insights

    Preterm birth prevalence in Brazil is underestimated by the Live Birth Information System. A new equation corrects these estimates, revealing a higher true prevalence of preterm birth.

    Area of Science:

    • Obstetrics and Gynecology
    • Public Health
    • Epidemiology

    Background:

    • Preterm birth is a significant global health concern.
    • Accurate prevalence data is crucial for effective public health interventions.
    • Existing data systems may not fully capture the true incidence of preterm birth.

    Purpose of the Study:

    • To estimate preterm birth prevalence across various birth weight categories in Brazil.
    • To develop a correction equation for underreported preterm birth data.
    • To compare corrected estimates with existing national data.

    Main Methods:

    • Systematic review of Brazilian literature (1990-2012) with primary data on birth weight and gestational age.
    • Analysis of 12 selected studies to tabulate preterm prevalence by 100g birth weight increments.
    • Application of sex-specific fractional polynomial equations to derive corrected prevalence estimates.
    • Comparison of corrected estimates with the Live Birth Information System (LBIS) data for 2000, 2005, 2010, and 2011.

    Main Results:

    • Primary studies indicated higher preterm birth prevalence than LBIS across all birth weight categories.
    • In 2010, LBIS reported 7.2% preterm birth prevalence.
    • The derived correction equation estimated a 11.7% prevalence in 2010, approximately 38.0% higher than LBIS figures.

    Conclusions:

    • The Live Birth Information System underestimates preterm birth prevalence in Brazil.
    • LBIS data requires correction factors to accurately reflect the true magnitude of preterm birth.
    • The proposed correction equation provides a more accurate estimate of preterm birth incidence.
    Abstract

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