Under-reporting of dietary energy intake in five populations of the African diaspora.
Under-reporting of dietary energy intake in five populations of the African diaspora.
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DOI：
10.1017/s000711451400405x
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发表时间：
2015-02-14
期刊：
影响因子：
--
通讯作者：
Schoeller DA
中科院分区：
文献类型：
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作者：
Orcholski L;Luke A;Plange-Rhule J;Bovet P;Forrester TE;Lambert EV;Dugas LR;Kettmann E;Durazo-Arvizu RA;Cooper RS;Schoeller DA
关于饮食在慢性病发展中的作用的研究通常依赖于饮食摄入量的自我报告调查。不幸的是，许多有效性研究表明，自我报告的饮食摄入量受到系统性漏报，尽管绝大多数这样的研究是在工业化国家进行的。这项研究的目的是调查是否存在系统性的报告错误之间的非洲血统的个人（n=324）分布在五个国家的人类发展指数规模，联合国的统计数据，旨在排名国家的非收入因素加上经济指标。使用两次24小时回忆来评估能量摄入量，使用双标记水方法来评估总能量支出，我们计算了这两个值之间的差异，以确定加纳，南非，塞舌尔，牙买加和美国选定社区的习惯性能量摄入量。所有国家都观察到习惯性能量摄入量报告不足的情况。南非队列的平均漏报率最高：−52.1%（[自我报告-支出/支出]×100），而加纳、牙买加、塞舌尔和美国队列分别为− 22.5%、− 17.9%、− 25.0%和− 18.5%。与其他因素相比，体重指数是最一致的漏报预测因素。我们的结论是，在整个人类发展指数范围内，人口中存在大量的低报现象，而且这种系统误差会随着个人的体重指数而增加。
Studies on the role of diet in the development of chronic diseases often rely on self-report surveys of dietary intake. Unfortunately, many validity studies have demonstrated that self-reported dietary intake is subject to systematic underreporting, although the vast majority of such studies have been conducted in industrialized countries. The aim of this study was to investigate whether or not systematic reporting error exists among individuals of African ancestry (n=324) in five countries distributed across the Human Development Index scale, a United Nations statistic devised to rank countries on non-income factors plus economic indicators. Using two 24-hour recalls to assess energy intake and the doubly labeled water method to assess total energy expenditure, we calculated the difference between these two values to identify underreporting of habitual energy intake in selected communities in Ghana, South Africa, Seychelles, Jamaica and the United States. Under-reporting of habitual energy intake was observed in all countries. The South African cohort displayed the greatest mean % under-reporting: −52.1% ([self-report - expenditure/expenditure]×100) compared to −22.5%, −17.9%, −25.0%, and −18.5%, for, Ghana, Jamaica, Seychelles and the United States cohorts, respectively. Body mass index was the most consistent predictor of underreporting compared to other factors. We conclude that there is substantial under-reporting in populations across the whole range of the human development index and that this systematic error increases according to an individual’s body mass index.