Sichieri R, Pereira R A, Martins A, Vasconcellos Abpa, Trichopoulou A
Social Medicine Department, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
BMC Public Health. 2008 Mar 17;8:89. doi: 10.1186/1471-2458-8-89.
Data on food intake at the individual level and its statistical distribution in population groups defined by age, gender, or geographic areas are important in planning public health and nutrition programs. However, individual-based surveys in representative population samples are expensive to perform.
METHODS/DESIGN: In Brazil, an individual based survey is under consideration to be conducted alongside the household budget survey (HBS), which will be carried out in 2008-2009. This paper presents the methodological framework of dietary data collection and indicates the directions to combining both sources of data. The 2008-2009 Brazilian HBS sample will include 60,000 households. Of the selected HBS households, 30% will be randomly sampled to gather data on individual food intake. Therefore, individual dietary intake data is expected to be gathered for 70,000 individuals. Data collection procedures will comprise: completion of a diary with information regarding food purchases during a seven-day period; registration of all items consumed during two non-consecutive days for all 10 year-old or older members of the household. The sample will be large enough to capture the variation between individuals, and the two records will assure the estimation of the variation within individuals for food groups, energy and nutrients. Data on individual dietary intake and food family budget will be stratified by the five regions of the country and by rural or urban. A pilot study has been conducted in two states, and it indicated that combining individual and budgetary data in a survey is feasible.
This kind of study will allow us to estimate correlations between individual intake and household purchases, overcoming the limitations of individual dietary surveys, and enhancing the HBS with information on eating out and intra-familiar distribution of food.
个体层面的食物摄入量数据及其在按年龄、性别或地理区域划分的人群组中的统计分布，对于规划公共卫生和营养项目至关重要。然而，在具有代表性的人群样本中进行基于个体的调查成本高昂。
方法/设计：在巴西，正在考虑在2008 - 2009年开展的家庭预算调查（HBS）的同时进行一项基于个体的调查。本文介绍了膳食数据收集的方法框架，并指出了整合这两种数据来源的方向。2008 - 2009年巴西家庭预算调查样本将包括60,000户家庭。在选定的家庭预算调查家庭中，30%将被随机抽样以收集个体食物摄入量数据。因此，预计将为70,000人收集个体膳食摄入量数据。数据收集程序将包括：填写一份记录七天内食品购买信息的日记；记录家庭中所有10岁及以上成员在两个不连续日所消费的所有食品项目。样本规模将足够大以捕捉个体间的差异，并且这两项记录将确保对食物类别、能量和营养素在个体内的差异进行估计。个体膳食摄入量和家庭食物预算数据将按该国五个地区以及农村或城市进行分层。已在两个州进行了一项试点研究，结果表明在一项调查中整合个体数据和预算数据是可行的。
这类研究将使我们能够估计个体摄入量与家庭购买量之间的相关性，克服个体膳食调查的局限性，并通过外出就餐和家庭内部食物分配信息来完善家庭预算调查。
