The present study investigated linkages between multiple socio-economic vulnerabilities with infant and child mortality in India and its specific regions. Data from the National Family Health Survey (2015–16) was used for calculating the key-outcome variables, namely infant mortality and child mortality. The effective sample size for the study was 259,627. Bivariate analysis and binary logistic regression analysis were employed to examine three dimensions of vulnerabilities such as education, wealth, and caste on infant and child mortality. Children born to women with multiple-vulnerabilities were more likely to die than those born to non-vulnerable women. Women who were vulnerable in all the three-dimensions were more likely to have their children die as infants than those who were not vulnerable in any dimensions (predicted probabilities; 0.054 vs 0.026). The predicted probability for child mortality was 0.063 for women who were vulnerable and 0.028 for non-vulnerable women.

本研究调查了印度及其特定地区的多种社会经济脆弱性与婴儿和儿童死亡率之间的联系。来自全国家庭健康调查（2015-16 年）的数据用于计算关键结果变量，即婴儿死亡率和儿童死亡率。该研究的有效样本量为 259,627。采用双变量分析和二元逻辑回归分析来检查脆弱性的三个维度，例如教育、财富和种姓对婴儿和儿童死亡率的影响。具有多重脆弱性的妇女所生的孩子比非脆弱性妇女所生的孩子更有可能死亡。在所有三个方面都脆弱的妇女比在任何方面都不脆弱的妇女更有可能让她们的孩子在婴儿时期死亡（预测概率；0. 054 对 0.026）。儿童死亡率的预测概率对于弱势妇女为 0.063，对于非弱势妇女为 0.028。