Determinants of very low birth weight in India: The National Family Health Survey - 4

Liss Scaria1, Biju Soman1, Babu George2

  • 1AMCHSS, Sree Chitra Thirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India.

Insights

Maternal factors like anemia and lack of antenatal care increase very low birth weight (VLBW) risk in India. Socioeconomic status and maternal education are linked to low birth weight (LBW) in disadvantaged communities.

Area of Science:

  • Public Health
  • Neonatal Medicine
  • Epidemiology

Background:

  • Low birth weight (LBW) and very low birth weight (VLBW) are critical indicators of neonatal health, associated with increased risks of complications and long-term developmental issues.
  • Identifying the determinants of VLBW and LBW in India is crucial for targeted public health interventions.

Purpose of the Study:

  • To analyze the socio-demographic and maternal health determinants of very low birth weight (VLBW) in India.
  • To compare these determinants with those associated with low birth weight (LBW) using National Family Health Survey-4 data.

Main Methods:

  • Utilized data from 147,762 infant-mother pairs from the National Family Health Survey-4 (NFHS-4).
  • Employed multiple logistic regression models to identify independent predictors for VLBW (birth weight <1500g) and LBW (birth weight 1500-2499g).

Main Results:

  • VLBW affected 1.2% and LBW 15.8% of infants. Key VLBW predictors included female sex, young maternal age (13-19 years), maternal anemia, inadequate antenatal care, short maternal height (<150cm), and multiple pregnancies.
  • LBW determinants, in addition to VLBW factors, included lower maternal education levels, belonging to scheduled tribes, and being from the poorest wealth quintiles.

Conclusions:

  • Improving antenatal care access, maternal health, and nutritional status are vital for reducing VLBW incidence.
  • Further research into the social determinants of LBW is necessary to address its high prevalence among disadvantaged populations in India.

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