Department of Nutrition, School of Public Health - University of Sao Paulo (USP), AV. Dr. Arnaldo, 715 - Cerqueira César, São Paulo, SP01246-904, Brazil.
Faculty of Medicine, Federal University of Uberlandia, Uberlândia, MG, Brazil.
Public Health Nutr. 2021 Nov;24(16):5387-5399. doi: 10.1017/S1368980020004589. Epub 2020 Nov 13.
Our study aimed to describe body phenotypes (BP) estimated by multivariate analysis and their association with body mass.
BP were defined based on demographic variables, anthropometric data (body mass, height, skinfolds and circumferences), body composition (phase angle measured by bioelectrical impedance analysis), biochemical parameters (TAG, glucose, total cholesterol ratio/LDL, Hb and sexual maturation (pubic hair and breasts or gonads). ANOVA was performed to verify the differences between skin colour and the stages of pubertal development, BP, body composition, anthropometric and biochemical variables.
Cities of São Paulo-SP, Piracicaba-SP and Florianópolis-SC from Brazil and the United States.
9269 adolescents aged between 10 and 15 years old.
The composition of BP was similar in all surveys, which are: BP1 was composed by skinfolds, body mass and circumferences variables; BP2 by pubic hair, breast in girls or gonad in boys, height and age; BP3 by cholesterol, TAG and glucose; and BP4 by phase angle, Hb and glucose (negative loading). There was a strong correlation (r = 0·9, P < 0·001) between BP1 and BMI.
We highlighted independence observed between biochemical parameters, anthropometry, body composition and sexual maturation. BP may support the calculation of scores for diagnosis of obesity based on anthropometric variables and overcome ambiguity in the isolated use of BMI.
本研究旨在描述多元分析估计的体貌特征（BP）及其与体重的关系。
BP 基于人口统计学变量、人体测量数据（体重、身高、皮褶和围度）、身体成分（生物电阻抗分析测量的相位角）、生化参数（TAG、血糖、总胆固醇比值/LDL、Hb 和性成熟（阴毛和乳房或性腺）来定义。进行方差分析以验证皮肤颜色和青春期发育阶段、BP、身体成分、人体测量和生化变量之间的差异。
巴西的圣保罗-SP、皮拉西卡巴-SP 和弗洛里亚诺波利斯-SC 以及美国的城市。
年龄在 10 至 15 岁之间的 9269 名青少年。
所有调查中 BP 的组成相似，分别为：BP1 由皮褶、体重和围度变量组成；BP2 由阴毛、女孩乳房或男孩性腺、身高和年龄组成；BP3 由胆固醇、TAG 和葡萄糖组成；BP4 由相位角、Hb 和葡萄糖（负负荷）组成。BP1 和 BMI 之间存在很强的相关性（r = 0.9，P < 0.001）。
我们强调了生化参数、人体测量、身体成分和性成熟之间观察到的独立性。BP 可以支持基于人体测量变量计算肥胖诊断分数，并克服 BMI 单独使用的模糊性。
