Comparison of body composition parameters in the study of the association between body composition and pulmonary function

Background The excess adiposity, even in the absence of diseases, is responsible for a decline in pulmonary function, which is considered a predictor of mortality and a risk factor for diseases in several epidemiological studies. However, studies on the association between obesity and pulmonary function have found only few associations or inconclusive results. The aim of the study is to evaluate the association between body composition and spirometric parameters, comparing simple obesity measures such as body mass index (BMI) and waist circumference with more precise body composition measurements such as dual-energy X-ray absorptiometry (DXA) and air-displacement plethysmography (BOD POD). Methods This is an observational, cross-sectional study that used data from the 1978/79 Ribeirão Preto birth cohort (São Paulo, Brazil). The study included 1746 participants from the 5th follow-up of the cohort. Linear regressions were calculated to evaluate the association between BMI, waist circumference, waist–height ratio (WHtR), BOD POD- and DXA-measured fat mass percentage, and spirometric parameters FEV1, and FVC. Results For every 1-kg/m2 BMI increase, FVC decreased by 13 ml in males and by 6 ml in females and FEV1 decreased by 11 ml and 5 ml, respectively. Regarding body composition measurements, for a 1% increase in fat mass assessed by BOD POD, FVC decreased by 16 ml in males and by 8 ml in females and FEV1 decreased by 13 ml and 7 ml, respectively. Hence, negative associations between body measurements and FEV1 and FVC were observed in both genders, especially when using the fat mass measurement and were more expressive in men. Conclusion The anthropometric and body composition parameters were negatively associated with the spirometric variables FVC and FEV1. We have also observed that simple measures such as waist-height ratio were sufficient to detect the association of body composition with pulmonary function reduction.

Comparison of Body Composition Parameters in the Study of the Association between Obesity and Pulmonary Function

Background: The excess adiposity, even in the absence of diseases, is responsible for a decline in pulmonary function, which is considered a predictor of mortality and a risk factor for diseases in several epidemiological studies. However, studies on the association between obesity and pulmonary function have found only few associations or inconclusive results. The aimed of study is evaluate the association between body composition and spirometric parameters, comparing simple obesity measures such as body mass index (BMI) and waist circumference with more precise body composition measurements such as dual-energy x-ray absorptiometry (DXA) and air-displacement plethysmography (BOD POD). Methods: This is an observational, cross-sectional study that used data from the 1978/79 Ribeirão Preto birth cohort (São Paulo, Brazil). The study included 1,746 participants from the 5th follow-up of the cohort. Linear regressions were calculated to evaluate the association between BMI, waist circumference, waist-height ratio (WHtR), BOD POD- and DXA-measured fat mass percentage, and spirometric parameters FEV1, and FVC. Results: For every 1-kg/m2 BMI increase, FVC decreased by 13 ml in males and by 6 ml in females and FEV1 decreased by 11 ml and 5 ml, respectively. Regarding body composition measurements, for a 1% increase in fat mass assessed by BOD POD, FVC decreased by 16 ml in males and by 8 ml in females and FEV1 decreased by 13 ml and 7 ml, respectively. Hence, negative associations between body measurements and FEV1 and FVC were observed in both genders, especially when using the fat mass measurement and more expressive in men. The association was detected for waist circumference.Conclusion: The anthropometric and body composition parameters were negatively associated with the spirometric variables FVC and FEV1. We have also observed that simple measures such as waist-height ratio were sufficient to detect the association of obesity with pulmonary function reduction.

Evaluation of body composition and its relationship with physical fitness in professional soccer players at the beginning of pre-season (Evaluación de la composición corporal y su relación com la aptitud física em futebolistas professionales al inicio de

The aim of the study was to compare the players characteristics and physical fitness parameters according to playing positions and to identify the relation between body composition and physical fitness in professional soccer players at the beginning of the preparation period. Sixteen professional soccer players participated in this study. Body composition was evaluated by air displacement plethysmography instrumentation (BOD POD®) and physical fitness with specific tests: Running Anaerobic Sprint Test (RAST), Counter Moviment Jump (CMJ), Squat Jump (SJ) and Abalakov jump (ABK), Yo-yo Intermittent Recovery Level 1 (Yo-yo IR1), agility test and flexibility. Kruskal Wallis test demonstrated no significant difference in all estimated body composition, age, height and physical fitness parameters according to three playing positions (p < 0.05). We verified a significant negative correlation between body fat percentage and the performance of CMJ, SJ, ABK, peak, mean and minimum power (-.51 to -.87) and a significant positive correlation with the agility parameter (r = .85). Regarding to lean mass percentage, a significant positive correlation was found with performance of CMJ, SJ, ABK and peak, mean and minimum power (.51 to -.82) and significant negative correlation with agility parameter (r = -.85). Based on the results, we concluded that at the beginning of a pre-season a higher body fat percentage is associated with a negative influence in physical fitness, thus confirming that a greater amount of lean mass percentage is positively associated with the initial level of physical fitness of professional soccer players. Resumén: El objetivo del studio fue comparar las características de los jugadores y los parâmetros de aptitud física según las posiciones de juego e identificar la relación entre la composición corporal y la aptitud física em futebolistas profisionales al inicio del período de preparación. Dieciséis futebolistas profesionales participaron em este estudio. La composición corporal se evaluómediante instrumentación de plestimografia por desplazamiento de aire (BOD POD®) y aptitud física com pruebas específicas: capacidade anaeróbia (RAST), saltos verticales (CMJ, SJ y salto abalakov- ABK), resistência aeróbia, prueba de agilidade y flexibilidad. Kruskal Wallis no demostró diferencias significativas em todos los parâmetros estimados de composición corporal, edad, altura y condición física según las três posiciones de juego (p < 0.05). Verificamos uma correlación negativa significativa entre el porcentaje de grasa corporal y el rendimento de CMJ, SJ, ABK, potencia pico, media y mínima (-.51 to -.87) y uma correlación positiva significativa com el parâmetro de agilidade (r = .85). Em cuanto al porcentaje de massa magra, se encontro uma correlación positiva significativa com el rendimento de CMJ, SJ, ABK y potencia pico, media y mínima (.51 to -.82) y correlación negativa significativa com el parâmetro de agilidade (r = -.85). Com base em los resultados, concluimos que al inicio de una pré-temporada um mayor porcentaje de grassa corporal se associa com uma influencia negativa em la aptitud física, confirmando así que uma mayor porcentaje de massa magra se associa positivamente com el nível inicial de aptitud física de los futebolistas profesionales.

Assessment of Body Composition in Obese Pediatric Patients: a Method Comparison

BackgroundThe determination of body composition is an important method to investigate obese patients and to evaluate the efficacy of medical interventions. Bioelectrical impedance-based methods are convenient, non-invasive and widely applied for this purpose, but need to be validated for their use in young obese patients.MethodsWe compiled data from three independent studies on different aspects of obesity in children and adolescents, measuring body composition with two bioelectrical impedance-based devices (TANITA and BIA). Further, for a small patient group additional data were collected with air displacement plethysmography (BOD POD) and DXA.ResultsBoth, the combined data of the entire study population of 123 patients (age: 6-18 years, BMI: 21-59 kg/m²) and the data of each individual study, showed that TANITA and BIA yield significantly different results on body composition, with TANITA overestimating body fat percentage and fat mass relative to BIA and underestimating fat-free mass (p < 0.001 for all three parameters). A Bland-Altman plot revealed that both methods show little agreement and produce clinically relevant differences for all three parameters. In addition, we detected gender-specific differences with both methods, body fat percentage being significantly lower (p < 0.01) and fat-free mass significantly higher (p < 0.001) in males than females. A comparison of bioelectrical impedance-based methods with BOD POD and DXA on a small patient group indicated no significant difference between methods.ConclusionsBoth bioelectrical impedance-based methods provide significantly different results on body composition in young obese patients and the data thus cannot be used interchangeably. Routine clinical practice may nonetheless use these devices but must adhere to a specific device for repetitive measurements to ascertain comparability of data.Trial registration: Study#2, Children`s KNEEs study, ClinicalTrials NCT02545764. Registered 10 September 2015, https://clinicaltrials.gov/ct2/show/results/NCT02545764

Validity of Two Questionnaires and Two Prediction Equations for Estimating Total Energy Expenditure in Healthy Adults: A Doubly Labeled Water Study

Objectives The doubly labeled water (DLW) method is the gold standard for assessing total energy expenditure (TEE), but is costly. Questionnaires and prediction equations for TEE are nearly cost-free but research on their validity is scarce. We evaluated the validity of TEE assessed by two questionnaires and two prediction equations in comparison with TEE assessed by DLW. Based on previous work, we hypothesized that the questionnaires would be valid at a group level, and that the prediction equations would be valid at an individual level. Methods Data from a 10-d observational study in 124 healthy, nonsmoking adults were used (63% F, aged 29.8 ± 12.2 y, BMI 24.5 ± 3.9 kg/m2 (Mean ± SD)). TEE was measured by DLW using a mixed oral 2H218O dose containing 0.15 g 2H218O and 0.07 g of 2H2O per kg body weight. Analysis of urine samples and calculations of TEE were carried out using standard methodology. TEE was estimated from the 7-day Physical Activity Recall (7dPAR; Sallis et al. 1985), the Block Work and Home Survey (BWHS; Block et al. 2009), Dietary Reference Intakes (DRI) equations for estimated energy requirements of adults with normal weight or overweight/obesity (IOM 2005), and the BOD POD air displacement plethysmograph. 7dPAR TEE was estimated by multiplying MET-min/day with resting metabolic rate estimated from DRI basal energy expenditure equations. The BOD POD measured body composition by densitometry and TEE was estimated from fat-free mass and fat mass (Nelson et al. 1992) and an activity factor (WHO 1985). Results TEE values were 2430 ± 535 (DLW), 2375 ± 445 (7dPAR), 2407 ± 750 (BWHS), 2335 ± 388 (DRI), 2134 ± 439 (BOD POD) kcal/d (Mean ± SD), with DRI and BOD POD significantly lower than DLW (P &lt;0.01). Mean ± 2SD limits of agreement (kcal/d) between DLW and 7dPAR (−766, 877) and BWHS (−1420, 1468) were wider than those between DLW and DRI (−630, 822) and BOD POD (−463, 1057). The R2 and SEE of the method associations with DLW ranged from 0.17 to 0.54 and 264 to 688 kcal/d, respectively (all P = 0.000). Conclusions The 7dPAR and BWHS were valid for estimating TEE at a group level. While the DRI and BOD POD equations were more accurate at estimating TEE of individuals, none of the tools are recommended for individual assessment of TEE due to their low R2 and wide Bland-Altman limits of agreement with DLW. Funding Sources NIH R01 DK075862 and Purdue University.

A Comparison of Body Composition Measurements Between Bioelectrical Impedance Analysis (InBody 570) and Air Displacement Plethysmography (BOD POD®)

Objectives The accurate measurement of body composition is important in both research and clinical practice. The aim of this study was to compare the InBody relative to the BOD POD®. The latter is widely recognized as one of the most accurate methods to measure human body composition. Methods In the context of a clinical trial of 35 free-living non-athletic individuals [80% F, ages 40–69 years, BMI 25–34 kg/m2], we compared body composition measurements utilizing Bioelectrical Impedance Analysis (BIA) and Air Displacement Plethysmography (ADP). ADP was conducted in a BOD POD® (Cosmed USA Inc., Concord, CA, USA) and BIA measured using InBody 570 (In Body, Cerritos, CA, USA). Body measurements included total body weight, fat mass and fat-free mass which were obtained in kilograms following manufacturer instructions. Spearman's rank (rs) and Pearson correlations (r) were used to evaluate the agreement between the two instruments. Results The BOD POD® and InBody measurements were strongly correlated. Correlation was strongest for total body weight (rs (35) = .99, P &lt; .0001), followed by fat mass (r (35) = .93, P &lt; .0001). The lowest correlation was observed for fat-free mass (rs (35) = .79, P &lt; .0001). Conclusions The InBody 570 is reliable and compares favorably to the BOD POD®. Hence, it can be used in clinical settings and epidemiological studies as a practical and relatively inexpensive alternative to the BodPod and dual-energy x-ray absorptiometry (DEXA). Funding Sources Nutrition Research Center, School of Public Health, Loma Linda University, Loma Linda, CA, USA.