Chai Li Kheng, Collins Clare E, May Chris, Holder Carl, Burrows Tracy L
School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia.
Priority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, Australia.
J Med Internet Res. 2019 Sep 16;21(9):e12532. doi: 10.2196/12532.
Electronic health (eHealth) interventions for children often rely on parent-reported child anthropometric measures. However, limited studies have assessed parental accuracy in reporting child height and weight via Web-based approaches.
The objective of this study was to determine the accuracy of parent-reported child height and weight, as well as body mass index and weight category that we calculated from these data. We also aimed to explore whether parent report was influenced by age, sex, weight status, or exposure to participation in a 12-week brief Web-based family lifestyle intervention.
This study was a secondary analysis of data from a 12-week childhood obesity pilot randomized controlled trial in families with children aged 4 to 11 years in Australia. We asked parents to report demographic information, including child height and weight, using an online survey before their child's height and weight were objectively measured by a trained research assistant at baseline and week 12. We analyzed data using the Lin concordance correlation coefficient (ρc, ranging from 0 [poor] to ±1 [perfect] concordance), Cohen kappa coefficient, and multivariable linear regression models.
There were 42 families at baseline and 35 families (83%) at week 12. Overall, the accuracy of parent-reported child height was moderate (ρc=.94), accuracy of weight was substantial (ρc=.96), and accuracy of calculated body mass index was poor (ρc=.63). Parents underreported child height and weight, respectively, by 0.9 cm and 0.5 kg at baseline and by 0.2 cm and 1.6 kg after participating in a 12-week brief Web-based family lifestyle intervention. The overall interrater agreement of child body mass index category was moderate at baseline (κ=.59) and week 12 (κ=.54). The weight category calculated from 74% (n=31) and 70% (n=23) of parent-reported child height and weight was accurate at baseline and week 12, respectively. Parental age was significantly (95% CI -0.52 to -0.06; P=.01) associated with accuracy of reporting child height. Child age was significantly (95% CI -2.34 to -0.06; P=.04) associated with reporting of child weight.
Most Australian parents were reasonably accurate in reporting child height and weight among a group of children aged 4 to 11 years. The weight category of most of the children when calculated from parent-reported data was in agreement with the objectively measured data despite the body mass index calculated from parent-reported data having poor concordance at both time points. Online parent-reported child height and weight may be a valid method of collecting child anthropometric data ahead of participation in a Web-based program. Future studies with larger sample sizes and repeated measures over time in the context of eHealth research are warranted. Future studies should consider modeling the impact of calibration equations applied to parent-reported anthropometric data on study outcomes.
针对儿童的电子健康(eHealth)干预措施通常依赖家长报告的儿童人体测量数据。然而,仅有有限的研究评估了家长通过基于网络的方法报告儿童身高和体重的准确性。
本研究的目的是确定家长报告的儿童身高和体重,以及我们根据这些数据计算出的体重指数和体重类别(分类)的准确性。我们还旨在探讨家长报告是否受到年龄、性别、体重状况或参与为期12周的简短基于网络的家庭生活方式干预的影响。
本研究是对澳大利亚一项针对4至11岁儿童家庭的为期12周的儿童肥胖试点随机对照试验数据的二次分析。在基线和第12周由经过培训的研究助理对儿童身高和体重进行客观测量之前,我们要求家长通过在线调查报告人口统计学信息,包括儿童身高和体重。我们使用林一致性相关系数(ρc,范围从0[差]到±1[完美]一致)、科恩kappa系数和多变量线性回归模型分析数据。
基线时有42个家庭,第12周时有35个家庭(83%)。总体而言,家长报告的儿童身高准确性中等(ρc = 0.94),体重准确性较高(ρc = 0.96),计算出的体重指数准确性较差(ρc = 0.63)。在基线时,家长分别少报儿童身高0.9厘米和体重0.5千克,在参与为期12周的简短基于网络的家庭生活方式干预后,分别少报0.2厘米和1.6千克。儿童体重指数类别的总体评定者间一致性在基线时中等(κ = 0.59),在第12周时为中等(κ = 0.54)。根据家长报告的儿童身高和体重计算出的体重类别在基线时和第12周时分别有74%(n = 31)和70%(n = 23)是准确的。家长年龄与报告儿童身高的准确性显著相关(95%CI -0.从0.52至 -0.06;P = .01)。儿童年龄与报告儿童体重显著相关(95%CI -2.34至 -0.06;P = .04)。
在一组4至11岁的儿童中,大多数澳大利亚家长在报告儿童身高和体重方面相当准确。尽管根据家长报告的数据计算出的体重指数在两个时间点的一致性都较差,但根据家长报告的数据计算出的大多数儿童的体重类别与客观测量数据一致。在参与基于网络的项目之前,在线由家长报告的儿童身高和体重可能是收集儿童人体测量数据的有效方法。有必要开展样本量更大且在电子健康研究背景下随时间进行重复测量的未来研究。未来的研究应考虑对应用于家长报告的人体测量数据的校准方程对研究结果的影响进行建模。