南亚和撒哈拉以南非洲5岁以下儿童死亡率的不同年龄模式:一项模拟研究。

The Lancet. Global health Pub Date : 2022-11-01 Epub Date: 2022-09-08 DOI:10.1016/S2214-109X(22)00337-0
Andrea Verhulst, Julio Romero Prieto, Nurul Alam, Hallie Eilerts-Spinelli, Daniel J Erchick, Patrick Gerland, Joanne Katz, Bruno Lankoande, Li Liu, Gilles Pison, Georges Reniers, Seema Subedi, Francisco Villavicencio, Michel Guillot
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引用次数: 6

摘要

背景:了解5岁以下儿童死亡率的年龄分布,对于确定最脆弱的年龄和潜在的死亡原因,以及评估为什么某些国家和国家以下地区的儿童死亡率下降速度比其他国家和地区慢至关重要。这项研究的目的是发现低收入和中等收入国家特有的5岁以下儿童死亡率的年龄模式。方法:在本模型研究中,我们使用了来自277个人口与健康调查(DHSs)、58个健康与人口监测系统(HDSSs)、两个队列研究和两个样本登记系统的数据。从这些来源中,我们收集了1966年至2020年间中低收入国家儿童的出生日期和死亡日期(或死亡年龄)。我们从每次调查中计算出22例死亡率,年龄细分如下:0、7、14、21和28天;2、3、4、5、6、7、8、9、10、11、12、15、18和21个月;2 3 4 5年。我们评估了22个年龄组的估计死亡概率如何偏离反映25个高收入国家历史死亡率的生命登记模型所产生的预测。研究结果:我们计算了81个低收入国家在1966年至2020年间的死亡率。与世界其他地区相比,我们发现南亚和撒哈拉以南非洲的5岁以下儿童死亡率的特点是,在给定的死亡率水平下,年龄范围两端(即小于28天和大于6个月)的死亡率都有所增加。这些地区观察到的死亡率比28天以下年龄组的生命登记模型预测的高2倍,比6个月以上年龄组的预测高10倍。在南亚和撒哈拉以南非洲的17个国家,这种5岁以下儿童死亡率的年龄分布非常显著。38个国家发现6个月以上儿童死亡率过高,而28天以下儿童死亡率不过高。在南亚,不同数据源的结果是一致的。在撒哈拉以南非洲,28天以下儿童的高死亡率主要发生在人口安全地区;大多数HDSSs没有显示出这种高死亡率。我们将这一数据来源的差异主要归因于遗漏了hss的早期死亡。解释:在5岁以下儿童死亡率的年龄模式与预测不符的国家,基于证据的公共卫生干预措施应侧重于死亡率过高的原因;值得注意的是,胎儿生长受限和传染病的影响。5岁以下儿童死亡率的年龄分布将有助于评估在降低5岁以下儿童死亡率和实现可持续发展目标方面取得的进展。资助:美国国立卫生研究院尤尼斯·肯尼迪·施莱弗国家儿童健康与人类发展研究所。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Divergent age patterns of under-5 mortality in south Asia and sub-Saharan Africa: a modelling study.

Divergent age patterns of under-5 mortality in south Asia and sub-Saharan Africa: a modelling study.

Divergent age patterns of under-5 mortality in south Asia and sub-Saharan Africa: a modelling study.

Divergent age patterns of under-5 mortality in south Asia and sub-Saharan Africa: a modelling study.

Background: Understanding the age pattern of under-5 mortality is essential for identifying the most vulnerable ages and underlying causes of death, and for assessing why the decline in child mortality is slower in some countries and subnational areas than others. The aim of this study is to detect age patterns of under-5 mortality that are specific to low-income and middle-income countries (LMICs).

Methods: In this modelling study, we used data from 277 Demographic and Health Surveys (DHSs), 58 Health and Demographic Surveillance Systems (HDSSs), two cohort studies, and two sample-registration systems. From these sources, we collected child date of birth and date of death (or age at death) from LMICs between 1966 and 2020. We computed 22 deaths rates from each survey with the following age breakdowns: 0, 7, 14, 21, and 28 days; 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, 18, and 21 months; and 2, 3, 4, and 5 years. We assessed how probabilities of dying estimated for the 22 age groups deviated from predictions generated by a vital registration model that reflects the historical mortality of 25 high-income countries.

Findings: We calculated mortality rates of 81 LMICs between 1966 and 2020. In contrast with the other regions of the world, we found that under-5 mortality in south Asia and sub-Saharan Africa was characterised by increased mortality at both ends of the age range (ie, younger than 28 days and older than 6 months) at a given level of mortality. Observed mortality in these regions was up to 2 times higher than predicted by the vital registration model for the younger-than-28 days age bracket, and up to 10 times higher than predicted for the older-than-6 months age bracket. This age pattern of under-5 mortality is significant in 17 countries in south Asia and sub-Saharan Africa. Excess mortality in children older than 6 months without excess mortality in children younger than 28 days was found in 38 countries. In south Asia, results were consistent across data sources. In sub-Saharan Africa, excess mortality in children younger than 28 days was found mostly in DHSs; the majority of HDSSs did not show this excess mortality. We have attributed this difference in data sources mainly to omissions of early deaths in HDSSs.

Interpretation: In countries with age patterns of under-5 mortality that diverge from predictions, evidence-based public health interventions should focus on the causes of excess of mortality; notably, the effect of fetal growth restriction and infectious diseases. The age pattern of under-5 mortality will be instrumental in assessing progress towards the decline of under-5 mortality and the Sustainable Development Goals.

Funding: Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health.

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