PDF(Pubmed)
Abstract：
Estimating the change rates in body size following the weight loss programs is very important in the compliance of those programs. Although, there is enough evidence on the significant association of body weight change with the other anthropometric indices and/ or body composition, there is so limited studies that have depicted this relationship as mathematical formulas. Therefore, the present research designed to use a mathematical model to predict changes of anthropometric indices following a weight-loss diet in the overweight and obese women. In this longitudinal study, 212 overweight/obese women who received an individualized low-calorie diet (LCD) were selected and followed-up for five months. Anthropometric measurements such as weight, waist circumference (WC), hip circumference (HC), and body composition (lean mass and fat mass) were performed. Then, body mass index, waist to hip ratio (WHR), waist to height ratio (WHtR), a body shape index (ABSI), abdominal volume index (AVI), and body adiposity index (BAI) were calculated using the related formula. Following the LCD led to the substantial and consistent changes in various anthropometric indices over time. All of these anthropometric variations were significantly related with the percent change (PC) of body weight except than WHR. Moreover, according to the mathematical formulas, weight loss was closely related to the decrease of WC (PC-WC = - 0.120 + 0.703 × PC-WT), HC (PC-HC = - 0.350 + 0.510 × PC-WT), body fat percentage (PC-Body Fat = - 0.019 + 0.915 × PC-WT), WHtR (PC-WHtR = - 0.113 + 0.702 × PC-WT), and improvements in ABSI (PC-ABSI = - 0.112 + 0.034 × PC-WT) and AVI (PC-AVI = - 0.324 + 1.320 × PC-WT). The decreasing rates of WC, HC, body fat percentage, WHtR, ABSI, and AVI in relation to the weight loss were clinically and statistically significant. This means that a healthy weight lowering diet would be accompanied by decreasing the body fat, body size and also the risk of morbidities.
摘要：
在减肥计划之后估计身体尺寸的变化率对于这些计划的依从性非常重要。虽然,有足够的证据表明体重变化与其他人体测量指标和/或身体组成之间存在显着关联，有如此有限的研究将这种关系描述为数学公式。因此,本研究旨在使用数学模型来预测超重和肥胖女性减重饮食后人体测量指标的变化。在这项纵向研究中，选择212名接受个性化低热量饮食（LCD）的超重/肥胖女性，并随访5个月。人体测量，如体重，腰围（WC），臀围（HC），和身体成分（瘦体重和脂肪量）进行。然后，身体质量指数,腰臀比（WHR），腰围与身高比（WHtR），身体形状指数(ABSI)，腹部容积指数(AVI),和身体肥胖指数（BAI）使用相关公式计算。随着时间的推移，LCD导致各种人体测量指数发生了实质性和一致的变化。除WHR外，所有这些人体测量变化均与体重的百分比变化（PC）显着相关。此外，根据数学公式,体重减轻与WC的减少密切相关(PC-WC=-0.120+0.703×PC-WT)，HC(PC-HC=-0.350+0.510×PC-WT),体脂百分比（PC-身体脂肪=-0.019+0.915×PC-WT），WHtR(PC-WHtR=-0.113+0.702×PC-WT),以及ABSI(PC-ABSI=-0.112+0.034×PC-WT)和AVI(PC-AVI=-0.324+1.320×PC-WT)的改进。WC的下降率，HC,身体脂肪百分比，WHtR,ABSI,和AVI与体重减轻的关系具有临床和统计学意义。这意味着健康的减肥饮食将伴随着减少体内脂肪，体型和患病的风险。
