Assessing Progress towards SDG2: Trends and Patterns of Multiple Malnutrition in Young Children under 5 in West and Central Africa
Assessing Progress towards SDG2: Trends and Patterns of Multiple Malnutrition in Young Children under 5 in West and Central Africa
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DOI：
10.1007/s12187-019-09671-1
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发表时间：
2020-10-01
影响因子：
2.8
通讯作者：
Nandy, Shailen
中科院分区：
文献类型：
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作者：
Pomati, Marco;Nandy, Shailen
众所周知，幼儿同时出现不同形式的营养不良会带来不同的发病和死亡风险。尽管如此，很少（如果有的话）对5岁以下幼儿多次人体测量失败（或缺陷）的患病率进行系统分析。本文介绍了对世界上最贫穷的地理区域之一-西非和中非的数据进行的第一次此类分析的结果。利用人口与健康调查（DHS）和联合国儿童基金会多指标类集调查（MICS）的数据，该文件详细介绍了1990-2015年期间儿童营养不良的患病率和模式，并结合了传统措施和人体测量失败综合指数（CIAF）。它显示了营养不良综合评估指标在衡量营养不良全面程度方面的优势，以及“多种营养不良”指标在确定5岁以下儿童死亡风险较高方面的能力。报告还表明，在减少营养不良程度方面取得的进展相对较小，并强调必须通过观察受影响儿童的比率和总数来跟踪进展情况。整个区域的营养不良仍然与家庭财富和教育密切相关。尽管农村家庭更有可能遭受营养不良，但城市地区普遍存在的恶劣生活条件有可能破坏在减少营养不良方面取得的任何成果。
The co-occurrence of different forms of malnutrition in young children is known to carry differential risks of morbity and mortality. Despite this, there are few, if any, systematic analyses of the prevalence of multiple anthropometric failures (or deficits) in young children under 5. This paper presents the results of the first such an analysis done on data from one of the poorest geographic regions of the world - West and Central Africa. Using data from the demographic and health surveys (DHS) and UNICEF's Multiple Indicator Cluster Surveys (MICS), the paper details the prevalence and patterning of child malnutrition using a combination of conventional measures and the Composite Index of Anthropometric Failure (CIAF) for the period 1990-2015. It shows the advantages of the CIAF indicator for gauging the full extent of malnutrition and the ability of an indicator of 'Multiple Malnutrition' to identify children under 5 with higher risk of mortality. It also shows how relatively little progress has been made in reducing the extent of malnutrition and emphasises the importance of tracking progress by looking at both rates and total number of affected children. Malnutrition across the region remains strongly associated with household wealth and education. Poorer, rural households are much more likely to experience malnutition, but the widespread prevalence of poor living conditions in urban areas has the potential to undermine any gains made in reducing malnutrition.