Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Am J Prev Med. 2019 Jun;56(6):860-868. doi: 10.1016/j.amepre.2019.01.004. Epub 2019 Apr 17.
Self-reported height and weight may lead to inaccurate estimates of associations between BMI and health indicators. The purpose of this study is to assess anthropometric misreporting in emerging adults, compare weight classification by self-reported and direct measures, and examine associations of self-reported and direct measures with cardiometabolic biomarkers.
Self-reported and directly measured height and weight were obtained in five waves of a nationally representative cohort study of U.S. tenth graders (n=2,785) conducted in 2010-2016; data were analyzed in 2018. Cardiometabolic biomarkers were assessed in three waves in a systematically recruited subsample (n=567). Pearson correlations (r) and Lin's concordance correlations (ρ) evaluated misreporting. Gwet agreement coefficient-1 evaluated weight classification agreement by self-reported and direct measures. Generalized estimating equations examined associations of cardiometabolic biomarkers with self-reported and direct measures.
Participants overreported height by 1.0-1.7 cm and underestimated weight by 0.6-1.7 kg. Self-reported BMI was 0.6-1.0 lower than measured. Self-reported and measured height, weight, and BMI were strongly correlated (r=0.88-0.97, 0.86-0.98, and 0.65-0.96, respectively) and concordant (ρ=0.82-0.96, 0.94-0.97, and 0.65-0.95, respectively). Agreement of weight classification by self-reported and direct measures ranged from Gwet agreement coefficient-1=0.79-0.94. Associations of ten cardiometabolic biomarkers with self-reported BMI, measured BMI, and waist circumference were similar in magnitude, direction, and precision.
Self-reported and measured BMI were strongly correlated and concordant, providing substantial to near-perfect agreement in weight classification. Findings suggest self-reported BMI in U.S. emerging adults provides nearly identical estimates of associations with cardiometabolic biomarkers.
自我报告的身高和体重可能导致 BMI 与健康指标之间关联的估计不准确。本研究的目的是评估新兴成年人的人体测量学报告错误,比较自我报告和直接测量的体重分类,并检查自我报告和直接测量与心血管代谢生物标志物的关联。
在 2010-2016 年期间,对美国十年级学生进行了一项全国代表性队列研究的五次随访,获得了自我报告和直接测量的身高和体重数据;数据分析于 2018 年进行。在一个系统招募的子样本中(n=567),评估了三个波次的心血管代谢生物标志物。使用 Pearson 相关系数(r)和 Lin 的一致性相关系数(ρ)评估报告错误。Gwet 一致性系数-1 评估了自我报告和直接测量的体重分类一致性。广义估计方程研究了心血管代谢生物标志物与自我报告和直接测量的关联。
参与者的身高自我报告值高出 1.0-1.7cm,体重自我报告值低了 0.6-1.7kg。自我报告的 BMI 比测量值低 0.6-1.0。自我报告和测量的身高、体重和 BMI 之间高度相关(r=0.88-0.97、0.86-0.98 和 0.65-0.96)且一致(ρ=0.82-0.96、0.94-0.97 和 0.65-0.95)。自我报告和直接测量的体重分类一致性范围为 Gwet 一致性系数-1=0.79-0.94。十个心血管代谢生物标志物与自我报告的 BMI、测量的 BMI 和腰围的关联在大小、方向和精度上相似。
自我报告和测量的 BMI 高度相关且一致,在体重分类上提供了实质性到近乎完美的一致性。研究结果表明,美国新兴成年人的自我报告 BMI 提供了与心血管代谢生物标志物关联的几乎相同的估计。