Faculty of Medicine, Postgraduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos, 2400, Santa Cecilia, Rio Grande do Sul, 90035-003, Porto Alegre, Brazil.
Postgraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), 90035-003, Porto Alegre, Brazil.
BMC Pregnancy Childbirth. 2020 Sep 29;20(1):576. doi: 10.1186/s12884-020-03258-3.
Determining anthropometric measures that indicate different fat deposits can be useful to predict metabolic risk and set specific treatment goals, reducing negative consequences for maternal and fetal health. In cases where pre-gestational weight measure and subsequent body mass index (BMI) values cannot be determined, other anthropometric measurements may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. This study aims to identify which anthropometric measurements correlate better with the maternal fat deposits measured by ultrasound.
A cross-sectional study was conducted with pregnant women from the city of Porto Alegre (city), capital of Rio Grande do Sul (state), southern Brazil, from October 2016 until January 2018. Anthropometrical variables (weight, height, mid-upper arm circumference [MUAC], circumferences of calf and neck and triceps skinfolds [TSF] and subscapular skinfolds [SBSF]), and ultrasound variables (visceral adipose tissue [VAT] and total adipose tissue [TAT]) were collected. To verify the correlation of anthropometric and ultrasound measurements, a non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees.
The age median of the 149 pregnant women was 25 years [21-31], pre-pregnancy BMI was 26.22 kg/m² [22.16-31.21] and gestational age was 16.2 weeks [13.05-18.10]. The best measurements correlated with VAT and TAT were MUAC and SBSF, both of which showed a higher correlation than pre-pregnancy BMI.
It is possible to provide a practical and reliable estimate of VAT and TAT from the anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in an outpatient clinic environment, especially in low- and middle-income countries.
确定表明不同脂肪沉积的人体测量指标对于预测代谢风险和设定特定治疗目标非常有用,可以减少对母婴健康的负面影响。在无法确定孕前体重和随后的体重指数(BMI)值的情况下,其他人体测量指标可能是衡量孕妇营养状况的理想指标,尤其是在中低收入国家。本研究旨在确定哪些人体测量指标与通过超声测量的母体脂肪沉积相关性更好。
本研究为横断面研究,对象为来自巴西南里奥格兰德州阿雷格里港的孕妇,时间为 2016 年 10 月至 2018 年 1 月。收集了人体测量学变量(体重、身高、上臂中部周长 [MUAC]、小腿和颈部周长以及肱三头肌皮褶厚度 [TSF]和肩胛下角皮褶厚度 [SBSF])和超声变量(内脏脂肪组织 [VAT]和总脂肪组织 [TAT])。为了验证人体测量和超声测量之间的相关性,使用非调整和调整后的斯皮尔曼相关系数进行了验证。本研究获得了伦理委员会的批准。
149 名孕妇的年龄中位数为 25 岁[21-31],孕前 BMI 为 26.22kg/m²[22.16-31.21],妊娠周数为 16.2 周[13.05-18.10]。与 VAT 和 TAT 相关性最好的测量指标是 MUAC 和 SBSF,这两个指标的相关性均高于孕前 BMI。
通过 MUAC 或 SBSF 等人体测量评估,有可能提供一种实用且可靠的 VAT 和 TAT 估计值,这种方法成本低、效率高,且在门诊环境中可重复,尤其适用于中低收入国家。