Slater Betzabeth, Marchioni Dirce Maria Lobo, Voci Silvia Maria
Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brazil.
Rev Saude Publica. 2007 Apr;41(2):190-6. doi: 10.1590/s0034-89102007000200004.
Methodological approaches have been developed to minimize effects of measurement error in dietary intake data. The objective of the study was to apply a strategy to correct intake data according to measurement error.
Intake data were obtained by applying the Food Frequency Questionnaire in 79 adolescents of São Paulo city, Brazil. Correction of dietary intake data was performed by linear regression, after energy adjustment by the residual method. The reference method used was 24-hour dietary recall and it was applied three times.
Corrected values were similar to reference values. Correction factor gamma was 0.89 to energy. For macronutrients, factors were 0.41, carbohydrate 0.22, and lipid and protein 0.20.
Mean and standard deviation of corrected values show a correction for the measurement error. The performance of these methods, that are imperfect, is questioned when the assumptions are not proved which is common in intake studies of measures based on the reports of individuals.
已开发出方法来尽量减少膳食摄入数据中测量误差的影响。本研究的目的是应用一种策略根据测量误差校正摄入数据。
通过对巴西圣保罗市79名青少年应用食物频率问卷获取摄入数据。在采用残差法进行能量调整后，通过线性回归对膳食摄入数据进行校正。所使用的参考方法是24小时膳食回顾法，且应用了三次。
校正后的值与参考值相似。能量的校正因子γ为0.89。对于宏量营养素，校正因子分别为：碳水化合物0.41、脂质和蛋白质0.22，碳水化合物0.20。
校正后值的均值和标准差显示对测量误差进行了校正。当假设未得到证实时，这些并不完美的方法的性能受到质疑，而在基于个体报告的测量摄入量研究中这种情况很常见。
