Skrzypek Michał, Szponar Bogdan, Drop Bartłomiej, Panasiuk Lech, Malm Maria
Department of Clinical Dietetics, Faculty of Health Sciences, Medical University, Lublin, Poland.
Department of Medical Informatics and Statistics with E-learning Laboratory, Faculty of Health Sciences, Medical University, Lublin, Poland.
Ann Agric Environ Med. 2020 Mar 17;27(1):91-98. doi: 10.26444/aaem/118153. Epub 2020 Mar 5.
Bioimpedance analysis (BIA) phase angle (PhA) is an index of the integrity of cells and cellular membranes. The aim of the study was identification of behavioural and anthropometric predictors of PhA in a group of young adults.
A cross-sectional observational study of health behaviours, anthropometric indicators and body composition assessed by the BIA method was conducted in a group of Polish young adults (n=92) aged 18 - 24 (mean - 19.33, STD - 0.915). Behavioural variables included: level of physical activity, eating behaviours and nutritional knowledge. Body composition was analysed by means of BIA phase-sensitive 8-electrode medical SECA mBCA 525 device.
The mean PhA value in the examined cohort was 6.38±0.75 (males - 7.22±0.72; females - 6.13±0.57). Males also showed higher statistically significant other body composition indices, excluding fat mass. The multiple regression model, including anthropometric variables and gender, which explained the effect of these variables on PhA, occurred to be significant (p<0.0000) and allowed explanation of the 82.49% of PhA variability. PhA was significantly predicted from body mass index (BMI), absolute fat mass, visceral adipose tissue value, skeletal muscle mass value and gender. The regression model, including behavioural predictors and gender, allowed explanation of the lower percentage of PhA variability (42.75%; p<0.0000) and included general intensity of health behaviours, level of nutritional knowledge, and gender. A regression model which would consider simultaneously anthropometric and behavioural variables could not be constructed.
In the examined cohort, anthropometric and body composition variables showed a stronger predictive value with respect to PhA, compared to behavioural variables.
生物电阻抗分析（BIA）相角（PhA）是细胞及细胞膜完整性的一个指标。本研究的目的是确定一组年轻成年人中PhA的行为和人体测量学预测因素。
对一组年龄在18至24岁（平均19.33岁，标准差0.915）的波兰年轻成年人（n = 92）进行了一项关于健康行为、人体测量指标和通过BIA方法评估的身体成分的横断面观察研究。行为变量包括：身体活动水平、饮食行为和营养知识。通过BIA相敏8电极医用SECA mBCA 525设备分析身体成分。
在所检查的队列中，PhA的平均值得出为6.38±0.75（男性 - 7.22±0.72；女性 - 6.13±0.57）。除脂肪量外，男性在其他身体成分指标上也显示出更高的统计学显著性。包括人体测量变量和性别的多元回归模型解释了这些变量对PhA的影响，该模型具有显著性（p<0.0000），并能够解释PhA变异性的82.49%。PhA可由体重指数（BMI）、绝对脂肪量、内脏脂肪组织值、骨骼肌质量值和性别显著预测。包括行为预测因素和性别的回归模型能够解释的PhA变异性百分比更低（42.75%；p<0.0000），该模型包括健康行为的总体强度、营养知识水平和性别。无法构建一个同时考虑人体测量和行为变量的回归模型。
在所检查的队列中，与行为变量相比，人体测量和身体成分变量对PhA显示出更强的预测价值。
