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Correlates of Low Birth Weight: A Hospital-Based Study From Gangtok, India
Ankur Barua1, Jayant Hazarika2, Sudip Dutta2
1International Medical University, Kuala Lumpur, Malaysia.
Insights
Low birth weight significantly increases infant mortality risk. Factors like socioeconomic status, maternal health, and lifestyle choices during pregnancy are strongly associated with low birth weight in Indian infants.
Area of Science:
- Pediatrics
- Public Health
- Neonatal Care
Background:
- Low birth weight (LBW) is a critical determinant of infant survival.
- India faces a significant burden, with nearly 8 million LBW infants annually.
- LBW babies face a mortality risk approximately 20 times higher than normal birth weight infants.
Purpose of the Study:
- To investigate the prevalence of low birth weight in Sikkim, India.
- To identify independent risk factors associated with low birth weight in the study population.
Main Methods:
- A matched case-control study involving 130 low birth weight infants and 130 controls.
- Data collected over 12 months (August 2007-July 2008) at a Central Referral Hospital in Sikkim.
- Statistical analysis included Chi-square tests and multiple logistic regression (P < .05 significance).
Main Results:
- The study screened 711 newborns, identifying 130 (18.3%) as low birth weight.
- Multiple logistic regression identified key independent risk factors for LBW.
Conclusions:
- Low or middle socioeconomic status, maternal underweight, and twin pregnancies are significant risk factors.
- A history of delivering LBW babies and substance use (smoking, alcohol) during pregnancy are associated with LBW.
- Congenital anomalies also showed a significant independent association with low birth weight.
Abstract:
Background. Low birth weight is the single most important factor that determines the chances of child survival. A recent annual estimation indicated that nearly 8 million infants are born with low birth weight in India. The infant mortality rate is about 20 times greater for all low birth weight babies. Methods. A matched case-control study was conducted on 130 low birth weight babies and 130 controls for 12 months (from August 1, 2007, to July 31, 2008) at the Central Referral Hospital, Tadong, East District of Sikkim, India. Data were analyzed using the Statistical Package for Social Sciences, version 10.0 for Windows. Chi-square test and multiple logistic regression were applied. A P value less than .05 was considered as significant. Results. In the first phase of this study, 711 newborn babies, borne by 680 mothers, were screened at the Central Referral Hospital of Sikkim during the 1-year study period, and the proportion of low birth weight babies was determined to be 130 (18.3%). Conclusion. Multiple logistic regression analysis, conducted in the second phase, revealed that low or middle socioeconomic status, maternal underweight, twin pregnancy, previous history of delivery of low birth weight babies, smoking and consumption of alcohol during pregnancy, and congenital anomalies had independent significant association with low birth weight in this study population.
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