Anthropometric, body composition and behavioural predictors of bioelectrical impedance phase angle in Polish young adults – preliminary results

Abstract

Introduction and objective. 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. Materials and method. 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. Results. 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. Conclusions. In the examined cohort, anthropometric and body composition variables showed a stronger predictive value with respect to PhA, compared to behavioural variables.

Epidemiology of Obesity and Hypertension in School Adolescents Aged 15–17 from the Region of Central Poland—A Cross-Sectional Study

“…BMI may also underestimate adiposity in a substantial proportion of children, such as those with reduced muscle mass due to low levels of physical activity [41]. Finally, children of different stature but the same BMI do not necessarily have the same body composition [42][43][44][45]. A discrepancy between the assessment of body mass based on the body weight growth charts and calculations based on BMI have also been observed in our study.…”

Behavioral components of pro-healthy lifestyle and bioelectrical impedance body composition in Polish young adults: Preliminary results

“…Regression models taking account of behavioral variables Abbreviations: MET -metabolic equivalent; pHDI-10 -Prohealthy-Diet-Index; nHDI-14 -Non-Healthy-Diet-Index. 13 (health behaviors, PA, nHDI, pHDI and the level of nutritional knowledge) proved statistically insignificant in the whole studied group (Table 3) and in the females (Table 4).…”

“…The prohealthydiet-index-10 (pHDI-10) and non-healthy-diet-index-14 (nHDI-14) were calculated. 13 The values of both indices in points were used for statistical analyses (the range 0-100 points). Nutritional knowledge was assessed using statements that the respondents qualified as true or false.…”

“…12 The behavioral predictors of bioimpedance phase angle (PhA) have been analyzed in Polish young adults. 13…”

Segmental Phase Angle and Body Composition Fluctuation of Elite Ski Jumpers between Summer and Winter FIS Competitions

“…PhA values have a similar pattern that starts from infants, increases progressively up to the teenage phase, stabilizes during adult ages, and then decreases progressively in the elderly [ 35 , 36 , 37 ]. Among healthy individuals, the PhA for the whole body ranges from 5° to 7.5° [ 32 , 38 ]. Among trained athletes, this value rises and may reach the 8.5° [ 18 , 39 ] to 9.5° [ 40 ] range.…”