Predictors and outcomes of low birth weight in Lusaka, Zambia

Carla J Chibwesha1, Arianna Zanolini2, Marcela Smid3

  • 1Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.

Insights

Low birth weight (LBW) in Zambia is linked to placental abruption, preterm birth, and twin pregnancies. LBW infants face significantly higher risks of stillbirth and neonatal death, emphasizing the need for quality prenatal care.

Area of Science:

  • Obstetrics and Gynecology
  • Neonatal Health
  • Public Health

Background:

  • Low birth weight (LBW) is a critical indicator of neonatal health and survival.
  • Understanding the risk factors and outcomes associated with LBW in urban African settings is crucial for targeted interventions.

Purpose of the Study:

  • To identify factors associated with low birth weight (LBW) in an urban Zambian cohort.
  • To investigate the risk of adverse outcomes for neonates born with LBW.

Main Methods:

  • Retrospective cohort analysis of 200,557 neonates born in Lusaka, Zambia, between 2006 and 2012.
  • Utilized routine clinical data and generalized estimating equations to analyze covariates of LBW (<2500 g) and associated outcomes.
  • Included singletons and first-born twins delivered in the public health system.

Main Results:

  • 10.5% of neonates were LBW. Factors associated with LBW included placental abruption, delivery before 37 weeks, and twin pregnancy.
  • LBW neonates had significantly higher risks of stillbirth (AOR 8.6), low Apgar score (AOR 5.7), NICU admission (AOR 5.4), and early neonatal death (AOR 6.2).
  • These risks persisted independently of gestational age and multiple pregnancy status.

Conclusions:

  • LBW neonates face substantially increased risks for stillbirth and neonatal mortality.
  • The findings highlight the critical importance of accessible, high-quality prenatal care for improving birth outcomes in urban Zambia.
  • Early and comprehensive antenatal services are essential to mitigate LBW-related adverse outcomes.
Abstract

Related Concept Videos

z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
20.0K
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.3K
Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
3.3K