Fernández-Cardero Álvaro, Sierra-Cinos José Luis, López-Jiménez Adrián, Beltrán Beatriz, Cuadrado Carmen, García-Conesa María Teresa, Bravo Laura, Sarriá Beatriz
Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), C/Jose Antonio Novais 6, 28040 Madrid, Spain.
Department of Nutrition and Food Science I, School of Pharmacy, Universidad Complutense de Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain.
Nutrients. 2024 Apr 12;16(8):1143. doi: 10.3390/nu16081143.
Obesity is a worldwide epidemic, making it crucial to understand how it can be effectively prevented/treated. Considering that obesity is a multifactorial condition, this article carried out a baseline cross-sectional study of the variables involved in the disorder. Eighty-four subjects with overweight/obesity were recruited. Dietary baseline information was obtained by analysing three 24 h recalls. Resting metabolic rate was measured using indirect calorimetry, physical activity was measured through accelerometry, cardiometabolic parameters were determined in blood samples and body composition via anthropometry and bioimpedance. A univariant and multivariate exploratory approach was carried out using principal component analysis (PCA). Large inter-individual variability was observed in dietetic, biochemical, and physical activity measurements (coefficient of variation ≥ 30%), but body composition was more uniform. Volunteers had an unbalanced diet and low levels of physical activity. PCA reduced the 26 analysed variables to 4 factors, accounting for 65.4% of the total data variance. The main factor was the "dietetic factor", responsible for 24.0% of the total variance and mainly related to energy intake, lipids, and saturated fatty acids. The second was the "cardiometabolic factor" (explaining 16.8% of the variability), the third was the "adiposity factor" (15.2%), and the last was the "serum cholesterol factor" (9.4%).
肥胖是一种全球性的流行病,因此了解如何有效预防/治疗肥胖至关重要。鉴于肥胖是一种多因素疾病,本文对该疾病所涉及的变量进行了基线横断面研究。招募了84名超重/肥胖受试者。通过分析三次24小时饮食回顾来获取饮食基线信息。使用间接测热法测量静息代谢率,通过加速度计测量身体活动,通过血液样本测定心脏代谢参数,并通过人体测量学和生物电阻抗测量身体成分。使用主成分分析(PCA)进行单变量和多变量探索性分析。在饮食、生化和身体活动测量中观察到较大的个体间差异(变异系数≥30%),但身体成分更为均匀。志愿者饮食不均衡且身体活动水平较低。PCA将26个分析变量减少为4个因素,占总数据方差的65.4%。主要因素是“饮食因素”,占总方差的24.0%,主要与能量摄入、脂质和饱和脂肪酸有关。第二个是“心脏代谢因素”(解释变异的16.8%),第三个是“肥胖因素”(15.2%),最后一个是“血清胆固醇因素”(9.4%)。