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比较按国家和时间匹配的基于人群的调查中的血红蛋白分布。

Comparing hemoglobin distributions between population-based surveys matched by country and time.

机构信息

School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.

Centers for Disease Control and Prevention, Atlanta, GA, USA.

出版信息

BMC Public Health. 2020 Mar 30;20(1):422. doi: 10.1186/s12889-020-08537-4.

Abstract

BACKGROUND

Valid measurement of hemoglobin is important for tracking and targeting interventions. This study compares hemoglobin distributions between surveys matched by country and time from The Demographic and Health Survey (DHS) Program and the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project.

METHODS

Four pairs of nationally representative surveys measuring hemoglobin using HemoCue® with capillary (DHS) or venous (BRINDA) blood were matched by country and time. Data included 17,719 children (6-59 months) and 21,594 non-pregnant women (15-49 y). Across paired surveys, we compared distributional statistics and anemia prevalence.

RESULTS

Surveys from three of the four countries showed substantial differences in anemia estimates (9 to 31 percentage point differences) which were consistently lower in BRINDA compared to DHS (2 to 31 points for children, 1 to 16 points for women).

CONCLUSION

We identify substantial differences in anemia estimates from surveys of similar populations. Further work is needed to identify the cause of these differences to improve the robustness of anemia estimates for comparing populations and tracking improvements over time.

摘要

背景

准确测量血红蛋白对于跟踪和针对干预措施非常重要。本研究比较了来自人口与健康调查(DHS)项目和反映炎症和贫血营养决定因素的生物标志物(BRINDA)项目的匹配国家和时间的调查中的血红蛋白分布。

方法

使用 HemoCue®毛细血管(DHS)或静脉(BRINDA)血测量血红蛋白的四个国家的具有代表性的全国性调查进行了匹配。数据包括 17719 名儿童(6-59 个月)和 21594 名非孕妇(15-49 岁)。在配对调查中,我们比较了分布统计数据和贫血患病率。

结果

来自四个国家中的三个国家的调查显示贫血估计值存在显著差异(差异为 9 至 31 个百分点),与 DHS 相比,BRINDA 的贫血估计值始终较低(儿童为 2 至 31 个点,妇女为 1 至 16 个点)。

结论

我们发现来自相似人群的调查中存在贫血估计值的显著差异。需要进一步研究确定这些差异的原因,以提高比较人群和跟踪随时间变化的贫血估计值的稳健性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8164/7106890/c69b2976c06e/12889_2020_8537_Fig1_HTML.jpg

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