Research Division, Institute of Mental Health, Singapore.
Ann Acad Med Singap. 2021 Apr;50(4):306-314. doi: 10.47102/annals-acadmedsg.2020183.
The study assessed whether self-reported height, weight and derived body mass index (BMI) can provide an accurate measure of anthropometric data in a multiethnic adult population in Singapore.
Standardised anthropometric measurements were compared against the self-reported values from 5,132 adult residents in a cross-sectional, epidemiological survey. Discrepancies in self-reports from measurements were examined by comparing overall mean differences. Intraclass correlations, Cohen's kappa and Bland-Altman plots with limits of agreement, and sub-analysis by sex and ethnicity were also explored.
Data were obtained from 5,132 respondents. The mean age of respondents was 43.9 years. Overall, the height was overestimated (0.2cm), while there was an underestimation of weight (0.8kg) and derived BMI (0.4kg/m2). Women had a larger discrepancy in height (0.35cm, 95% confidence interval [CI] 0.22 to 0.49), weight (-0.95kg, 95% CI -1.11 to -0.79) and BMI (-0.49kg/m2, 95% CI -0.57 to -0.41) compared with men. Height reporting bias was highest among Indians (0.28cm, 95% CI 0.12 to 0.44) compared with Chinese and Malays, while weight (-1.32kg, 95% CI -1.53 to -1.11) and derived BMI (-0.57kg/m2, 95% CI -0.67 to -0.47) showed higher degrees of underreporting among Malays compared with Chinese and Indians. Substantially high self-reported versus measured values were obtained for intraclass correlations (0.96-0.99, <0.001) and kappa (0.74). For BMI categories, good to excellent kappa agreement was observed (0.68-0.81, <0.0001).
Self-reported anthropometric estimates can be used, particularly in large epidemiological studies. However, sufficient care is needed when evaluating data from Indians, Malays and women as there is likely an underestimation of obesity prevalence.
本研究评估了自我报告的身高、体重和衍生的体重指数（BMI）能否在新加坡的多民族成年人群体中准确测量人体测量数据。
对来自横断面流行病学调查的 5132 名成年居民的标准化人体测量数据与自我报告数据进行了比较。通过比较总体均值差异，检查了自我报告与测量值之间的差异。还探讨了组内相关系数、Cohen's kappa 和 Bland-Altman 图及一致性界限，以及按性别和种族进行的亚分析。
共获得 5132 名应答者的数据。应答者的平均年龄为 43.9 岁。总体而言，身高被高估了（0.2cm），而体重（0.8kg）和衍生 BMI（0.4kg/m2）被低估了。与男性相比，女性的身高（0.35cm，95%置信区间[CI] 0.22 至 0.49）、体重（-0.95kg，95%CI -1.11 至 -0.79）和 BMI（-0.49kg/m2，95%CI -0.57 至 -0.41）差异更大。与中国和马来人相比，印度人（0.28cm，95%CI 0.12 至 0.44）的身高报告偏倚最高，而马来人（-1.32kg，95%CI -1.53 至 -1.11）和衍生 BMI（-0.57kg/m2，95%CI -0.67 至 -0.47）的体重和 BMI 报告则显示出较中国人和印度人更高的漏报率。组内相关系数（0.96-0.99，<0.001）和 kappa（0.74）都显示出自我报告与测量值高度一致。对于 BMI 类别，观察到良好至极好的 kappa 一致性（0.68-0.81，<0.0001）。
自我报告的人体测量估计值可用于，特别是在大型流行病学研究中。然而，在评估印度人、马来人和女性的数据时需要格外谨慎，因为肥胖患病率可能被低估。
