尼日尔一项基于人群的 5 岁以下儿童前瞻性研究中，人体测量指标预测死亡率的比较。
Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger.
机构信息
Francis I. Proctor Foundation, University of California San Francisco, 513 Parnassus Avenue, S334, San Francisco, CA 94143, USA.
Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
出版信息
Public Health Nutr. 2020 Feb;23(3):538-543. doi: 10.1017/S1368980019002520. Epub 2019 Sep 9.
OBJECTIVE
In the present study, we aimed to compare anthropometric indicators as predictors of mortality in a community-based setting.
DESIGN
We conducted a population-based longitudinal study nested in a cluster-randomized trial. We assessed weight, height and mid-upper arm circumference (MUAC) on children 12 months after the trial began and used the trial's annual census and monitoring visits to assess mortality over 2 years.
SETTING
Niger.
PARTICIPANTS
Children aged 6-60 months during the study.
RESULTS
Of 1023 children included in the study at baseline, height-for-age Z-score, weight-for-age Z-score, weight-for-height Z-score and MUAC classified 777 (76·0 %), 630 (61·6 %), 131 (12·9 %) and eighty (7·8 %) children as moderately to severely malnourished, respectively. Over the 2-year study period, fifty-eight children (5·7 %) died. MUAC had the greatest AUC (0·68, 95 % CI 0·61, 0·75) and had the strongest association with mortality in this sample (hazard ratio = 2·21, 95 % CI 1·26, 3·89, P = 0·006).
CONCLUSIONS
MUAC appears to be a better predictor of mortality than other anthropometric indicators in this community-based, high-malnutrition setting in Niger.
目的
本研究旨在比较人体测量指标作为社区人群死亡率预测指标的作用。
设计
我们进行了一项基于人群的纵向研究，嵌套于一项整群随机试验中。我们在试验开始 12 个月后评估儿童的体重、身高和上臂中部周长（MUAC），并利用试验的年度普查和监测访问来评估 2 年内的死亡率。
地点
尼日尔。
参与者
研究期间年龄在 6-60 个月的儿童。
结果
在基线时，1023 名儿童中，身高年龄 Z 评分、体重年龄 Z 评分、体重身高 Z 评分和 MUAC 将 777 名（76.0%）、630 名（61.6%）、131 名（12.9%）和 80 名（7.8%）儿童分别归类为中重度营养不良。在 2 年的研究期间，有 58 名儿童（5.7%）死亡。在该样本中，MUAC 的 AUC 最大（0.68，95%CI 0.61，0.75），与死亡率的相关性最强（危险比=2.21，95%CI 1.26，3.89，P=0.006）。
结论
在尼日尔这个社区为基础、高营养不良环境中，MUAC 似乎比其他人体测量指标更能预测死亡率。
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