Potts Benjamin A, Wood G Craig, Bailey-Davis Lisa
Center for Obesity and Metabolic Research, Geisinger Health System, Danville, PA, United States.
Front Nutr. 2024 Mar 1;11:1279931. doi: 10.3389/fnut.2024.1279931. eCollection 2024.
Remote anthropometric surveillance has emerged as a strategy to accommodate lapses in growth monitoring for pediatricians during coronavirus disease 2019 (COVID-19). The purpose of this investigation was to validate parent-reported anthropometry and inform acceptable remote measurement practices among rural, preschool-aged children.
Parent-reported height, weight, body mass index (BMI), BMI z-score, and BMI percentile for their child were collected through surveys with the assessment of their source of home measure. Objective measures were collected by clinic staff at the child's well-child visit (WCV). Agreement was assessed using correlations, alongside an exploration of the time gap (TG) between parent-report and WCV to moderate agreement. Using parent- and objectively reported BMI z-scores, weight classification agreement was evaluated. Correction equations were applied to parent-reported anthropometrics.
A total of 55 subjects were included in this study. Significant differences were observed between parent- and objectively reported weight in the overall group (-0.24 kg; = 0.05), as well as height (-1.8 cm; = 0.01) and BMI (0.4 kg/m; = 0.02) in the ≤7d TG + Direct group. Parental reporting of child anthropometry ≤7d from their WCV with direct measurements yielded the strongest correlations [ = 0.99 (weight), = 0.95 (height), = 0.82 (BMI), = 0.71 (BMIz), and = 0.68 (BMI percentile)] and greatest classification agreement among all metrics [91.67% (weight), 54.17% (height), 83.33% (BMI), 91.67% (BMIz), and 33.33% (BMI percentile)]. Corrections did not remarkably improve correlations.
Remote pediatric anthropometry is a valid supplement for clinical assessment, conditional on direct measurement within 7 days. In rural populations where socioenvironmental barriers exist to care and surveillance, we highlight the utility of telemedicine for providers and researchers.
远程人体测量监测已成为一种策略，以应对2019年冠状病毒病（COVID-19）期间儿科医生生长监测工作中的疏漏。本研究的目的是验证家长报告的人体测量数据，并为农村学龄前儿童中可接受的远程测量方法提供依据。
通过调查收集家长报告的孩子的身高、体重、体重指数（BMI）、BMI z评分和BMI百分位数，并评估其家庭测量的来源。临床工作人员在儿童健康检查（WCV）时收集客观测量数据。使用相关性评估一致性，并探索家长报告与WCV之间的时间间隔（TG）对一致性的影响。利用家长报告和客观报告的BMI z评分评估体重分类一致性。对家长报告的人体测量数据应用校正方程。
本研究共纳入55名受试者。总体组中，家长报告的体重与客观测量的体重之间存在显著差异（-0.24千克；P = 0.05），≤7天TG +直接测量组中，身高（-1.8厘米；P = 0.01）和BMI（0.4千克/平方米；P = 0.02）也存在显著差异。家长在孩子WCV后≤7天内直接测量并报告的儿童人体测量数据相关性最强[体重r = 0.99，身高r = 0.95，BMI r = 0.82，BMI z r = 0.71，BMI百分位数r = 0.68]，所有指标中的分类一致性最高[体重91.67%，身高54.17%，BMI 83.33%，BMI z 91.67%，BMI百分位数33.33%]。校正并未显著提高相关性。
远程儿科人体测量是临床评估的有效补充，但前提是在7天内进行直接测量。在存在社会环境障碍影响医疗和监测的农村人口中，我们强调了远程医疗对提供者和研究人员的实用性。
