PDF(Pubmed)
Abstract：
The aim of this study was to analyze the validity of self-reported anthropometric measurements (weight and height) for classifying the nutritional status of Brazilian adults and elderly people using data from the 2019 National Health Survey (PNS). The PNS sample is made up of permanent private households from all of Brazil\'s federative units and this is a cross-sectional study in which 6,571 records were identified with measured and reported data, with no missing data for one variable being identified when in the presence of another. Validation was carried out with 6,381 data after removing atypical data. The variables used for stratification were: gender, age, race/color, schooling, and income, and the weighted Kappa Coefficient and the Intraclass Correlation Coefficient (ICC) were used to analyze agreement between the nutritional status categories. Accuracy was analyzed based on sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). For construct validity, a Poisson regression was performed for each outcome (measured and self-reported), with the independent variables \"gender\", \"color/race\", \"schooling\", and \"family income\". All the analyses showed positive results for validation. There was greater reproducibility among adults (18 to 59 years old) compared to the elderly and among men compared to women. This validation indicates a concrete possibility of carrying out an association of observational studies using reported nutritional status as the outcome variable, as an efficient strategy which could minimize the operational difficulties often encountered.
摘要：
这项研究的目的是使用2019年国家健康调查（PNS）的数据，分析自我报告的人体测量（体重和身高）对巴西成年人和老年人的营养状况进行分类的有效性。PNS样本由来自巴西所有联邦单位的永久私人家庭组成，这是一项横断面研究，其中使用测量和报告的数据确定了6,571条记录，当一个变量存在另一个变量时，没有缺失的数据被识别出来。删除非典型数据后，对6,381个数据进行验证。用于分层的变量是：性别，年龄,种族/颜色，学校教育,和收入，加权Kappa系数和组内相关系数（ICC）用于分析营养状况类别之间的一致性。根据灵敏度分析精度，特异性，阳性预测值(PPV)和阴性预测值(NPV)。对于构造效度，对每个结果进行泊松回归(测量和自我报告)，使用自变量“性别”，“颜色/种族”，\"学校教育\",和“家庭收入”。所有分析都显示了验证的阳性结果。与老年人相比，成年人（18至59岁）的可重复性更高，与女性相比，男性的可重复性更高。该验证表明，使用报告的营养状况作为结果变量进行观察性研究的具体可能性。作为一种有效的策略，可以最大限度地减少经常遇到的操作困难。
