Predictors of Low Birth Weight: A Study in a Health and Demographic Cohort from Assam, India
Reeta Rasaily1, Prakash Chetry2, Kamakhya Borah2
1Indian Council of Medical Research, New Delhi, India.
Insights
Low birth weight affects infant health, with 30.34% prevalence in Assam. Key risk factors include tea-garden community living, low maternal education, income, preterm birth, and low maternal BMI.
Area of Science:
- Public Health
- Neonatal Research
- Epidemiology
Background:
- Low birth weight (LBW) is linked to increased infant morbidity and mortality.
- High prevalence of anemia and undernutrition in Assam suggests a potential correlation with LBW.
Purpose of the Study:
- To assess the prevalence and identify risk factors for low birth weight in a health and demographic cohort in Dibrugarh district, Assam.
Main Methods:
- A cohort study included 1437 deliveries (rural and tea garden) from March 2019 to February 2020.
- Statistical analysis identified significant associations between various factors and LBW.
Main Results:
- The prevalence of low birth weight was 30.34%.
- Significant risk factors included tea-garden community residence [OR: 1.4], low maternal education [OR: 1.57], low monthly income [OR: 2.1], preterm birth [OR: 4.1], and low maternal BMI [OR: 1.6].
Conclusions:
- Targeted interventions are crucial to reduce LBW rates.
- Strategies should focus on improving socioeconomic conditions, promoting antenatal care, and addressing maternal undernutrition.
Abstract:
Low birth weight is associated with morbidities and mortality in the later life. Prevalence of anemia and under nutrition in Assam were reported to be high which may correlate with low birth weight of infants. The present study assessed prevalence and risk factors for low birth weight in a health and demographic cohort established in Dibrugarh district, Assam. A total of 1437 deliveries (580 from rural and 857 from tea garden) were recorded during March 2019 to February 2020. Prevalence of low birth weight was 30.34%. Tea-garden community [OR: 1.4 (1.06-1.79)], low levels of maternal education [OR: 1.57(1.12-2.13)], low monthly income [OR: 2.1 (1.1-3.9)], pre-term birth [OR: 4.1 (2.2-7.9)] and mother with low BMI [OR: 1.6 (1.3-2.07)] were found to be significantly associated with low birth weight. Intervention strategies to improve socioeconomic condition, promote antenatal checkup and alleviate under nutrition in pregnant mothers are warranted to reduce low birth weight.
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