Ng Carmen D
Emory University, Hubert Department of Global Health, 7050-C Claudia Nance Rollins Building, 1518 Clifton Road, Atlanta, GA 30322, USA.
SSM Popul Health. 2019 May 10;7:100405. doi: 10.1016/j.ssmph.2019.100405. eCollection 2019 Apr.
Self-reported anthropometrics are often used as proxies for measured anthropometrics, but research has shown that heights and weights are often misreported. Using the Study on global AGEing and adult health, I analyze misreporting patterns of height, weight, and BMI in China, India, Russia, and South Africa. Adjustments of self-reported heights and weights using demographic, social, and anthropometric characteristics are evaluated and found to be useful in studying the distribution of anthropometrics within a population. Measured, self-reported, and adjusted BMI are then compared in logistic regression models on the reporting of health outcomes, as well as the resulting accuracy of individual prediction. When BMI is used as a continuous variable in models of health outcomes, measured, self-reported, and adjusted BMI produce similar coefficient estimates, and so self-reported data would be a natural choice because of its accessibility and convenience. In other applications, such as models using categorical BMI and individual prediction using either continuous or categorical BMI, self-reported data in lieu of measured data might not be accurate enough, but adjustments could serve as a potential compromise.
自我报告的人体测量数据常被用作实测人体测量数据的替代指标，但研究表明身高和体重常常被误报。利用全球老龄化与成人健康研究，我分析了中国、印度、俄罗斯和南非身高、体重及体重指数（BMI）的误报模式。评估了利用人口统计学、社会和人体测量学特征对自我报告的身高和体重进行调整的情况，发现这种调整对于研究人群中人体测量数据的分布很有用。然后，在关于健康结果报告的逻辑回归模型中，以及由此产生的个体预测准确性方面，对实测、自我报告和调整后的BMI进行比较。当BMI在健康结果模型中作为连续变量使用时，实测、自我报告和调整后的BMI产生相似的系数估计值，因此自我报告数据因其可及性和便利性将是一个自然的选择。在其他应用中，例如使用分类BMI的模型以及使用连续或分类BMI的个体预测，用自我报告数据代替实测数据可能不够准确，但调整可作为一种潜在的折衷办法。
