Comparison of BMI, triponderal mass index and paediatric body adiposity index for predicting body fat and screening obesity in preschool children.

IF 3 3区 医学 Q2 NUTRITION & DIETETICS British Journal of Nutrition Pub Date : 2024-12-14 Epub Date: 2024-11-11 DOI:10.1017/S0007114524002046
Yimin Wang, Ke Xu, Miyuan Wang, Paiziyeti Tuerxun, Wenli Dong, Mengna Wei, Yanfen Jiang, Wenqi Xia, Jiameng Zhou, Jianduan Zhang
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Abstract

Several novel anthropometric indices, including paediatric body adiposity index (BAIp) and triponderal mass index (TMI), have emerged as potential tools for estimating body fat in preschool children. However, their comparative validity and accuracy, particularly when compared with established indicators such as BMI, have not been thoroughly investigated. This cross-sectional study enrolled 2869 preschoolers aged 3-6 years in Wuhan, China. The non-parametric Bland-Altman analysis was employed to evaluate the agreement between BMI, BAIp and TMI with percentage of body fat (PBF), determined by bioelectrical impedance analysis (BIA), serving as the reference measure of adiposity. Additionally, receiver operating characteristic curve analysis was conducted to assess the effectiveness of BMI, BAIp and TMI in screening for obesity. BAIp demonstrated the least bias in estimating PBF, showing discrepancies of 3·64 % (95 % CI 3·40 %, 4·12 %) in boys and 3·95 % (95 % CI 3·79 %, 4·23 %) in girls. Conversely, BMI underestimated PBF by 3·89 % (95 % CI 3·70 %, 4·37 %) in boys and 4·81 % (95 % CI 4·59 %, 5·09 %) in girls, while TMI also underestimated PBF by 5·15 % (95 % CI 4·90 %, 5·52 %) in boys and 5·68 % (95 % CI 5·30 %, 5·91 %) in girls. BAIp exhibited the highest AUC values (AUC = 0·867-0·996) in boys, whereas in girls, there was no statistically significant difference between BMI (AUC = 0·936, 95 % CI 0·921, 0·948) and BAIp (AUC = 0·901, 95 % CI 0·883, 0·916) in girls (P = 0·054). In summary, when considering the identification of obesity, BAIp shows promise as a screening tool for both boys and girls.

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在预测学龄前儿童体内脂肪含量和筛查肥胖症方面,比较体重指数、三元组质量指数和儿科身体脂肪指数。
一些新的人体测量指数,包括儿科身体脂肪指数(BAIp)和三元组质量指数(TMI),已成为估计学龄前儿童身体脂肪的潜在工具。然而,它们的比较有效性和准确性,尤其是与身体质量指数(BMI)等既定指标相比,尚未得到深入研究。这项横断面研究在中国武汉市招募了2869名3-6岁的学龄前儿童。研究采用了非参数布兰-阿尔特曼分析法来评估 BMI、BAIp 和 TMI 与通过生物阻抗分析(BIA)测定的体脂百分比(PBF)之间的一致性。此外,还进行了接收者工作特征曲线(ROC)分析,以评估 BMI、BAIp 和 TMI 在筛查肥胖症方面的有效性。BAIp 在估计 PBF 方面的偏差最小,男孩的偏差为 3.64%(95%CI:3.40% 至 4.12%),女孩的偏差为 3.95%(95%CI:3.79% 至 4.23%)。相反,BMI 低估了 PBF,男孩为 3.89%(95%CI:3.70% 至 4.37%),女孩为 4.81%(95%CI:4.59% 至 5.09%),而 TMI 也低估了 PBF,男孩为 5.15%(95%CI:4.90% 至 5.52%),女孩为 5.68%(95%CI:5.30% 至 5.91%)。男孩的 BAIp 曲线下面积(AUC)值最高(AUC=0.867-0.996),而女孩的 BMI(AUC=0.936,95% CI:0.921-0.948)和 BAIp(AUC=0.901,95% CI 0.883-0.916)之间没有显著统计学差异(P=0.054)。总之,在考虑识别肥胖症时,BAIp 显示出作为筛查工具对男孩和女孩的前景。
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来源期刊
British Journal of Nutrition
British Journal of Nutrition 医学-营养学
CiteScore
6.60
自引率
5.60%
发文量
740
审稿时长
3 months
期刊介绍: British Journal of Nutrition is a leading international peer-reviewed journal covering research on human and clinical nutrition, animal nutrition and basic science as applied to nutrition. The Journal recognises the multidisciplinary nature of nutritional science and includes material from all of the specialities involved in nutrition research, including molecular and cell biology and nutritional genomics.
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