Mishra Prem Shankar, Sinha Debashree, Kumar Pradeep, Srivastava Shobhit, Syamala T S
Population Research Centre, Institute for Social and Economic Change, Bengaluru, Karnataka, India.
Department of Development Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
Omega (Westport). 2023 Feb;86(3):1002-1018. doi: 10.1177/0030222821997704. Epub 2021 Feb 24.
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多种社会经济脆弱性与婴幼儿死亡率之间的联系。利用全国家庭健康调查（2015 - 2016年）的数据来计算关键结果变量，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验脆弱性的三个维度，即教育、财富和种姓对婴儿和儿童死亡率的影响。具有多种脆弱性的女性所生的孩子比非脆弱性女性所生的孩子更有可能死亡。在所有三个维度都脆弱的女性所生的孩子比在任何维度都不脆弱的女性所生的孩子更有可能在婴儿期死亡（预测概率分别为0.054和0.026）。脆弱女性儿童死亡率的预测概率为0.063，非脆弱女性为0.028。
