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发展中国家横断面调查中的儿童人体测量学:对幸存者偏差的评估。

Child anthropometry in cross-sectional surveys in developing countries: an assessment of the survivor bias.

作者信息

Boerma J T, Sommerfelt A E, Bicego G T

机构信息

Demographic and Health Surveys Program, Institute for Resource Development/Macro International, Inc., Columbia, MD 21045.

出版信息

Am J Epidemiol. 1992 Feb 15;135(4):438-49. doi: 10.1093/oxfordjournals.aje.a116304.

Abstract

In cross-sectional surveys, the sample of children with anthropometric measurements is not representative of all children in a birth cohort, since only children surviving to the survey date are measured. This survivor bias may have implications for studies of trends and differentials in anthropometric indicators. In this paper, the effects of the survivor bias on the estimates of child anthropometric indicators are assessed by 1) reviewing evidence from longitudinal studies on the prevalence of malnutrition among deceased children and among surviving children and by 2) analyzing retrospective data on child mortality and cross-sectional data on child anthropometry in 17 national surveys that are part of the Demographic and Health Surveys Program. It is concluded that comparisons of anthropometric data across geographic units, population subgroups, and calendar time are marginally affected by the survivor bias, unless mortality differences between the birth cohorts are very large (e.g., well over 50 per 1,000 births).

摘要

在横断面调查中,接受人体测量的儿童样本并不代表某个出生队列中的所有儿童,因为仅对存活至调查日期的儿童进行了测量。这种幸存者偏差可能会对人体测量指标的趋势和差异研究产生影响。在本文中,通过以下方式评估幸存者偏差对儿童人体测量指标估计值的影响:1)回顾纵向研究中关于死亡儿童和存活儿童营养不良患病率的证据;2)分析17项作为人口与健康调查项目一部分的国家调查中的儿童死亡率回顾性数据和儿童人体测量横断面数据。得出的结论是,除非出生队列之间的死亡率差异非常大(例如,每1000例出生中超过50例),否则幸存者偏差对跨地理区域、人口亚组和日历时间的人体测量数据比较的影响很小。

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