Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Nutrition. 2023 Sep;113:112081. doi: 10.1016/j.nut.2023.112081. Epub 2023 May 11.
The aim of this study was to identify the best anthropometric indices for predicting metabolic syndrome in US adolescents.
A cross-sectional study analyzed data of adolescents ages 10 to 19 y using the National Health and Nutrition Examination Survey 2011 to 2018 data. The receiver operating characteristic areas under the curve (AUCs) of waist circumference z score, body roundness index, body mass index, and A Body Shape Index in identifying predicting metabolic syndrome were assessed. Furthermore, sensitivity, specificity, positive predictive value, negative predictive value, and positive and negative likelihood ratios of all anthropometric indices were calculated.
A total of 5496 adolescents were included in the analysis. Waist circumference z score had an AUC of 0.90 (95% CI, 0.89-0.91), sensitivity of 95.0% (95% CI, 89.4-98.1), and specificity of 74.8% (95% CI, 73.6, 76.0). Body roundness index had an AUC of 0.88 (95% CI, 0.87-0.89), sensitivity of 96.7% (95% CI, 91.7-99.1), and specificity of 75.2% (95% CI, 74.1-76.4). Body mass index z score had an AUC of 0.83 (95% CI, 0.81-0.85), sensitivity of 97.5% (95% CI, 92.9-99.5), and specificity of 68.2% (95% CI, 66.9-69.4). A Body Shape Index had an AUC of 0.59 (95% CI, 0.56-0.61), sensitivity of 75.0% (95% CI, 66.3-82.5), and specificity of 50.9% (95% CI, 49.5-52.2).
Our study found waist circumference z score and body roundness index were the best predictors of predicting metabolic syndrome compared with body mass index z score and A Body Shape Index in both boys and girls. We recommend that future studies develop global cutoff points for these anthropometric indices and examine their performance in a multi-country setting.
本研究旨在确定美国青少年代谢综合征最佳的人体测量学指标。
本横断面研究使用 2011 年至 2018 年全国健康和营养调查的数据，对 10 至 19 岁青少年进行分析。评估腰围 z 分数、体圆度指数、体重指数和 A 体型指数预测代谢综合征的受试者工作特征曲线下面积（AUC）。此外，计算所有人体测量学指标的灵敏度、特异性、阳性预测值、阴性预测值、阳性和阴性似然比。
共纳入 5496 名青少年进行分析。腰围 z 分数 AUC 为 0.90（95%CI，0.89-0.91），灵敏度为 95.0%（95%CI，89.4-98.1），特异性为 74.8%（95%CI，73.6，76.0）。体圆度指数 AUC 为 0.88（95%CI，0.87-0.89），灵敏度为 96.7%（95%CI，91.7-99.1），特异性为 75.2%（95%CI，74.1-76.4）。体重指数 z 分数 AUC 为 0.83（95%CI，0.81-0.85），灵敏度为 97.5%（95%CI，92.9-99.5），特异性为 68.2%（95%CI，66.9-69.4）。A 体型指数 AUC 为 0.59（95%CI，0.56-0.61），灵敏度为 75.0%（95%CI，66.3-82.5），特异性为 50.9%（95%CI，49.5-52.2）。
本研究发现，与体重指数 z 分数和 A 体型指数相比，腰围 z 分数和体圆度指数是男孩和女孩预测代谢综合征的最佳指标。我们建议未来的研究为这些人体测量学指标制定全球截断值，并在多国家环境中检验其性能。
