Martins Poliana Cardoso, de Carvalho Maria Bernadete, Machado Carla Jorge
Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista, BA, Brasil.
Departamento de Medicina Preventiva e Social, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.
Rev Bras Epidemiol. 2015 Jan-Mar;18(1):137-48. doi: 10.1590/1980-5497201500010011. Epub 2015 Mar 1.
To assess the validity of using self-reported anthropometric data for diagnosis of nutritional status of adults in a rural population of northeast Brazil.
A population-based survey was conducted on a sample of 797 individuals aged 18 years or more. The proportion of individuals who knew their anthropometric measures was calculated. For agreement analysis between those who reported their measures the following indicators were obtained: differences between averages (weight, height, body mass index), intra-class correlation coefficient (ICC), Kappa statistic, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (VPN). Bland-Altman graphics were also obtained.
More than half of the respondents (58.5%) did not know their weight or height. Weight was the most known measure among all. The magnitude of the mean difference for weight, height and body mass index (BMI) (0.43 kg, 0.31 cm, 0.32 kg/m2, respectively) was small, indicating good agreement, with a trend toward overestimation. ICC for weight, height and BMI were 0.96; 0.60; and 0.53, respectively. Kappa statistic indicated good agreement in all strata. General measures of sensitivity, specificity, PPV and NPV were 84.2; 82; 90.7 and 71.3%, respectively. Elderly, those with low schooling and those who do not often weigh were less accurate on their measures.
The use of self-reported measures should be done with caution in epidemiological studies in rural populations.
评估在巴西东北部农村人口中使用自我报告的人体测量数据诊断成年人营养状况的有效性。
对797名18岁及以上的个体进行了一项基于人群的调查。计算了知道自己人体测量数据的个体比例。对于报告了测量数据的个体之间的一致性分析，获得了以下指标：平均值之间的差异（体重、身高、体重指数）、组内相关系数（ICC）、kappa统计量、敏感性、特异性、阳性预测值（PPV）和阴性预测值（VPN）。还获得了布兰德-奥特曼图。
超过一半的受访者（58.5%）不知道自己的体重或身高。体重是所有测量数据中最广为人知的。体重、身高和体重指数（BMI）的平均差异幅度较小（分别为0.43千克、0.31厘米、0.32千克/平方米），表明一致性良好，且有高估的趋势。体重、身高和BMI的ICC分别为0.96、0.60和0.53。kappa统计量表明在所有分层中一致性良好。敏感性、特异性、PPV和NPV的总体测量值分别为84.2%、82%、90.7%和71.3%。老年人、受教育程度低的人和不经常称重的人测量的准确性较低。
在农村人口的流行病学研究中，应谨慎使用自我报告的测量数据。
