title: Correlates of Low Birth Weight: A Hospital-Based Study From Gangtok, India.
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.
authors.affiliation: International Medical University, Kuala Lumpur, Malaysia.
authors.forename: Ankur
authors.initials: A
authors.lastname: Barua
authors.affiliation: Sikkim-Manipal Institute of Medical Sciences, Gangtok, India.
authors.forename: Jayant
authors.initials: J
authors.lastname: Hazarika
authors.affiliation: Sikkim-Manipal Institute of Medical Sciences, Gangtok, India.
authors.forename: Sudip
authors.initials: S
authors.lastname: Dutta
keywords: intrauterine growth; multiple logistic regression; preterm; retardation