Graduate Program in Health Sciences and Technologies, Faculty of Ceilandia, University of Brasilia, Federal District, Brasilia 72220-275, Brazil.
Int J Environ Res Public Health. 2022 May 1;19(9):5505. doi: 10.3390/ijerph19095505.
(1) Background: The excess visceral adipose tissue (VAT) accumulation in women may reflect an early or advanced state of a metabolic disorder and a higher risk of cardiovascular disease than other types of obesity. This study aimed to determine the predictor variables (demographic information, anthropometric data, and blood biomarkers) for changes in VAT in adult women. (2) Methods: This cross-sectional study was conducted with women aged 18-59 years attending nutritional consultation at the Centro Universitário de Brasília (CEUB)'s nutrition school clinic, Brazil. All participants' medical records were reviewed throughout the study and data of interest were collected. Various anthropometric measurements and biochemical exams were performed and analyzed in a univariate logistic regression model to identify the possible risk factors predictors for the presence of altered VAT. (3) Results: Our logistic regression model considered body mass index (BMI) greater than 25 kg/m, lipid accumulation product (LAP), and waist-hip ratio (WHR) as predictors of altered VAT. (4) Conclusion: LAP has a robust predictive capacity for changes in visceral fat in adult women, followed by WHR and BMI, making these variables effective in assessing the risk for changes in visceral fat and their inclusion essential in the individual and collective clinical practice.
(1) 背景:女性过多的内脏脂肪组织(VAT)堆积可能反映了代谢紊乱的早期或晚期状态,以及比其他类型肥胖更高的心血管疾病风险。本研究旨在确定成年女性 VAT 变化的预测变量(人口统计学信息、人体测量数据和血液生物标志物)。 (2) 方法:这是一项横断面研究,对象为巴西巴西利亚大学(CEUB)营养学校诊所就诊的 18-59 岁成年女性。在整个研究过程中,回顾了所有参与者的病历,并收集了相关数据。进行了各种人体测量测量和生化检查,并在单变量逻辑回归模型中进行了分析,以确定改变 VAT 的可能风险因素预测因素。 (3) 结果:我们的逻辑回归模型认为 BMI 大于 25 kg/m、脂质堆积产物(LAP)和腰臀比(WHR)是改变 VAT 的预测因素。 (4) 结论:LAP 对成年女性内脏脂肪变化具有较强的预测能力,其次是 WHR 和 BMI,这些变量在评估内脏脂肪变化风险方面非常有效,在个体和集体临床实践中应将其纳入。