Do Poverty and Economic Inequality Matter for Neonatal Mortality? International Comparison of Macro-Level Deterministic Patterns of Early-Age Mortality

IF 1.6 Q1 STATISTICS & PROBABILITY
Filippo Temporin
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引用次数: 0

Abstract

While socioeconomic determinants of infant mortality have received substantial attention in the literature, determinants of neonatal and post-neonatal mortality have rarely been analysed and compared. By making use ofWorld Bank data, this country-level study aims to highlight different patterns of association of poverty and income inequality with mortality occurring in the neonatal and post-neonatal periods, controlling for other socioeconomic variables. Poverty is found to be the major determinant of both mortality outcomes, while economic inequality is not a predictor of early-age mortality. This is perhaps because this analysis considers only countries where many households may lack resources for an adequate living standard; in such a context, the absolute level of poverty, rather than its distribution, has an effect on infant health. Moreover, a non-monetary manifestation of poverty, namely access to clean water, is a predictor of both mortality outcomes, probably due to its association with water-borne diseases. By identifying the socioeconomic factors associated with early-age mortality, this study has implications for social policies designed to tackle neonatal and post-neonatal mortality and can partly explain the stagnation in neonatal mortality rates observed over the last decades.
贫困和经济不平等对新生儿死亡率有影响吗?早期死亡率宏观确定模式的国际比较
虽然婴儿死亡率的社会经济决定因素在文献中得到了大量关注,但新生儿和新生儿后期死亡率的决定因素很少被分析和比较。通过使用世界银行的数据,这项国家级研究旨在强调贫困和收入不平等与新生儿和新生儿后期死亡率之间的不同关联模式,同时控制其他社会经济变量。研究发现,贫困是两种死亡率结果的主要决定因素,而经济不平等并不是早期死亡率的预测因素。这也许是因为这一分析只考虑了许多家庭可能缺乏足够生活水平资源的国家;在这种情况下,对婴儿健康产生影响的是贫困的绝对程度,而不是贫困的分布。此外,贫穷的非货币表现,即获得清洁水的机会,是两种死亡率结果的预测指标,可能是因为它与水媒疾病有关。通过确定与早期死亡率相关的社会经济因素,本研究对旨在解决新生儿和新生儿后期死亡率的社会政策具有启示意义,并可以部分解释过去几十年观察到的新生儿死亡率停滞不前的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
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审稿时长
10 weeks
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