Public Health · Pediatrics · 1 h ago
Study identifies factors associated with infant mortality in Assam tea-garden communities
A household study of 1,308 households in five tea-growing districts of Assam estimated infant mortality at 33.14 per 1,000 live births during 2019–2023. Regression analysis found associations with maternal education, prematurity and antenatal care, among other factors.
- Infant mortality was 33.14 per 1,000 live births.
- Study covered 1,308 households in five Assam districts.
- Education, prematurity and antenatal care showed strongest associations.
- Observational findings do not establish causation.
Researchers collected primary data from women aged 15–49 years in 1,308 households across five tea-growing districts of Assam, India, using multistage random sampling. They used binary logistic regression to assess factors associated with infant mortality in the tea-garden labour community. The reported average infant mortality rate for the 2019–2023 reference period was 33.14 per 1,000 live births.
Maternal education, prematurity at birth and antenatal care were the strongest reported determinants, with p values below 0.001. Household sanitation was also associated with infant mortality (p<0.05), while child sex had a marginal association (p<0.10). Household income, maternal age at birth, birth order and access to safe drinking water were not statistically significant in the analysis.
The findings describe associations in a specific, underserved population and may help inform locally tailored maternal and infant health research and policy. The observational analysis cannot establish that the identified factors caused infant deaths, and the source provides no effect estimates or confidence intervals to assess the magnitude and precision of the associations. The study reports no external financial support and no competing interests.
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BMC Public Health: Assessment of trend, pattern and predictive factors determining infant mortality among the tea garden labour community of Assam, India ↗This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.