Rehabilitation Health Sciences Department, College of Applied Medical Sciences, King Saud University, Saudi Arabia.
Clinics (Sao Paulo). 2024 Jun 5;79:100401. doi: 10.1016/j.clinsp.2024.100401. eCollection 2024.
This study aimed to compare different Body Mass Index (BMI) categories, body composition parameters, postural balance, and functional mobility among female students at a College of Applied Medical Sciences; and examine the relationship between BMI and body composition with postural balance and functional mobility among female students at the college of applied medical sciences.
Female students, aged 18‒25 years old. They were subdivided into four groups according to their BMI category: underweight, normal, overweight, or obese, with n = 20 participants in each group. A Bioelectrical Impedance Human Body Analyzer (BIA) was used to assess the following body composition parameters: Fat Percentage (FATP), fat mass, muscle mass, and Total Body Water (TBW). A NeuroCom Balance Master was used to assess postural balance and functional mobility. A Timed Up and Go (TUG) test was employed to assess functional mobility. All data were analyzed using SPSS.
Participants' ages and heights were matched (p > 0.05). However, there were variables that were statistically significantly higher in terms of weight, BMI and body composition, including FATP, fat mass, muscle mass, and TBW (p = 0.000), among the obese group. Moreover, postural balance was lower among the obese group. There was a significant relationship between BMI and body composition variables in respect of postural balance but not in relation to functional mobility.
Postural instability but not functional mobility was related to higher BMI and body composition values among the study groups.
本研究旨在比较应用医学院女学生不同的身体质量指数(BMI)类别、身体成分参数、姿势平衡和功能性移动能力,并探讨BMI 和身体成分与应用医学院女学生姿势平衡和功能性移动能力之间的关系。
年龄在 18 至 25 岁之间的女性学生。他们根据 BMI 类别分为四组:体重不足、正常、超重或肥胖,每组 20 名参与者。使用生物电阻抗人体分析仪(BIA)评估以下身体成分参数:脂肪百分比(FATP)、脂肪量、肌肉量和总身体水分(TBW)。使用神经康平衡大师评估姿势平衡和功能性移动能力。采用计时起身行走(TUG)测试评估功能性移动能力。所有数据均使用 SPSS 进行分析。
参与者的年龄和身高相匹配(p>0.05)。然而,体重、BMI 和身体成分,包括 FATP、脂肪量、肌肉量和 TBW(p=0.000),在肥胖组中存在统计学上显著更高的变量。此外,肥胖组的姿势平衡较低。BMI 和身体成分变量与姿势平衡之间存在显著关系,但与功能性移动能力无关。
在研究组中,姿势不稳定而不是功能性移动能力与较高的 BMI 和身体成分值有关。