Universidade Federal de Viçosa (UFV), Departamento de Nutrição e Saúde, Viçosa, MG, Brazil.
Universidade Federal de Viçosa (UFV), Departamento de Nutrição e Saúde, Viçosa, MG, Brazil.
J Pediatr (Rio J). 2020 May-Jun;96(3):356-363. doi: 10.1016/j.jped.2018.11.009. Epub 2019 Feb 4.
To evaluate the ability of neck circumference to identify excess android fat and to propose cutoff points for Brazilian children.
This was a cross-sectional study with 376 children aged 8 and 9 years enrolled in public and private schools in the urban area of the municipality of Viçosa, Minas Gerais. A semi-structured questionnaire containing sociodemographic and lifestyle information was applied. The following were collected: neck circumference, weight, and height for the calculation of body mass index. The percentage of fat in the android region was determined by dual energy X-ray absorptiometry. Linear regression analysis was used to evaluate the association between neck circumference and android fat, adopting a significance level of 5%. Receiver operating characteristic curves were used to evaluate the capacity of neck circumference to determine the excess android fat, as well as to estimate the cutoff points of neck circumference according to gender.
Multiple linear regression showed an association between neck circumference and android fat (β: 2.94, 95% CI: 2.41, 3.47). Neck circumference was able to identify excess android fat in girls (AUC: 0.909, 95% CI: 0.999, 0.945) and boys (AUC: 0.938, 95% CI: 0.892, 0.968). The proposed cutoff points showed satisfactory sensitivity, specificity, and predictive values.
Neck circumference is capable of identifying excess android fat in children and can be used in clinical practice and in population studies to determine central adiposity. The proposed cutoff points were satisfactory, but should be validated for other populations.
评估颈围识别安卓型肥胖的能力,并为巴西儿童提出颈围切点。
这是一项横断面研究,共纳入了 376 名 8 至 9 岁的儿童,他们来自米纳斯吉拉斯州维索萨市的公立和私立学校。采用半结构式问卷收集社会人口学和生活方式信息。收集了颈围、体重和身高,用于计算体重指数。通过双能 X 射线吸收法测定安卓区脂肪百分比。采用线性回归分析评估颈围与安卓脂肪之间的关联,采用 5%的显著性水平。使用受试者工作特征曲线评估颈围确定安卓型肥胖的能力,并根据性别估计颈围的切点。
多元线性回归显示颈围与安卓脂肪之间存在关联(β:2.94,95%置信区间:2.41,3.47)。颈围能够识别女孩(AUC:0.909,95%置信区间:0.999,0.945)和男孩(AUC:0.938,95%置信区间:0.892,0.968)的安卓型肥胖。提出的切点具有较好的敏感性、特异性和预测值。
颈围能够识别儿童的安卓型肥胖,可以在临床实践和人群研究中用于确定中心性肥胖。提出的切点是令人满意的,但应在其他人群中进行验证。