Household Wealth Gradient in Low Birthweight in India: A Cross-Sectional Analysis
1Center for Social Capital and Environmental Research, Ottawa, ON K1M OZ2, Canada.
Insights
Low birthweight affects 16.86% of Indian infants, with higher risks in poorer households. Improving household wealth is crucial for reducing low birthweight and enhancing infant health outcomes.
Area of Science:
- Public Health
- Socioeconomic Determinants of Health
- Maternal and Child Health
Background:
- Low birthweight is a significant global health concern, linked to various physiological, environmental, and socioeconomic factors.
- It increases infant risks for breathing difficulties, developmental delays, and mortality.
- Socioeconomic status, particularly household wealth, is a critical yet under-examined factor influencing low birthweight in India.
Purpose of the Study:
- To analyze the disparities in low birthweight prevalence across different household wealth quintiles in India.
- To identify the association between household wealth status and the risk of low birthweight using recent national data.
- To inform public health policy for mitigating the impact of socioeconomic factors on infant health.
Main Methods:
- Utilized data from the National Family Health Survey (NFHS 2019-21) comprising 161,596 mother-child dyads.
- Defined low birthweight as infant weight <2500 g at birth.
- Employed descriptive statistics and multivariate regression analyses in R studio to assess wealth-based disparities.
Main Results:
- Overall, 16.86% of infants exhibited low birthweight.
- Significant state-level variations observed, ranging from 3.85% in Nagaland to 21.81% in Punjab.
- Mean birthweights increased progressively with higher household wealth quintiles, from 2759.68 g (poorest) to 2871.30 g (richest).
- Multivariate analysis confirmed that higher wealth quintiles were associated with progressively lower risks of low birthweight (e.g., 0.74 times lower for richest vs. poorest).
- This association was notably stronger in rural areas.
Conclusions:
- Household wealth status is a significant predictor of low birthweight in India, with low-income households disproportionately affected.
- Addressing wealth inequality and supporting vulnerable populations is essential for improving maternal and infant health outcomes.
- Targeted interventions focusing on socioeconomic determinants are crucial for reducing the burden of low birthweight.
Abstract:
A low birthweight is a common complication that can result from numerous physiological, environmental, and socioeconomic factors, and can put babies at an increased risk for health issues such as breathing difficulties, developmental delays, and even death in severe cases. In this analysis, I aim to assess the differences in the burden of low birthweight based on household wealth status in India using data from the latest National Family Health Survey (NFHS 2019-21). The sample population includes 161,596 mother-child dyads. A low birthweight is defined as a weight that is <2500 g at birth. I used descriptive and multivariate regression analyses in R studio to analyse the data. The findings show that 16.86% of the babies had a low birthweight. At the state level, the percentage of low birthweights ranges from 3.85% in Nagaland to 21.81% in Punjab. The mean birthweights range from 2759.68 g in the poorest, 2808.01 g in the poorer, 2838.17 g in the middle, 2855.06 g in the richer, and 2871.30 g in the richest wealth quintile households. The regression analysis indicates that higher wealth index quintiles have progressively lower risks of low birthweight, with the association being stronger in the rural areas. Compared with the poorest wealth quintile households, the risk ratio of low birthweight was 0.90 times lower for the poorer households and 0.74 times lower for the richest households. These findings indicate that household wealth condition is an important predictor of low birthweight by which low-income households are disproportionately affected. As wealth inequality continues to rise in India, health policymakers must take the necessary measures to support the vulnerable populations in order to improve maternal and infant health outcomes.
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