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预测超重和肥胖女性通过减肥饮食后人体测量指标的变化的数学模型。

Prediction the changes of anthropometric indices following a weight-loss diet in overweight and obese women by mathematical models.

机构信息

Department of Clinical Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.

Department of Nutrition and Food Sciences, Maragheh University of Medical Sciences, Maragheh, Iran.

出版信息

Sci Rep. 2024 Jun 24;14(1):14491. doi: 10.1038/s41598-024-65586-0.

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

评估减肥计划后身体大小的变化率对于这些计划的依从性非常重要。尽管有足够的证据表明体重变化与其他人体测量指数和/或身体成分显著相关,但很少有研究以数学公式的形式描述这种关系。因此,本研究旨在使用数学模型预测超重和肥胖女性减肥饮食后人体测量指数的变化。在这项纵向研究中,选择了 212 名接受个体化低热量饮食(LCD)的超重/肥胖女性,并对她们进行了五个月的随访。进行了体重、腰围(WC)、臀围(HC)和身体成分(瘦体重和脂肪量)等人体测量学测量。然后,使用相关公式计算体重指数、腰臀比(WHR)、腰高比(WHtR)、身体形状指数(ABSI)、腹部体积指数(AVI)和身体脂肪指数(BAI)。LCD 后,各项人体测量指标随时间发生了实质性和一致的变化。所有这些人体测量学的变化都与体重的百分比变化(PC)显著相关,除了 WHR。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),体脂肪百分比(PC-Body Fat=-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)的改善。WC、HC、体脂肪百分比、WHtR、ABSI 和 AVI 与体重减轻的下降率在临床和统计学上均有显著意义。这意味着健康的体重降低饮食会伴随着体脂肪、身体尺寸的减少以及患各种疾病的风险的降低。

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