Air Displacement Plethysmography Research Articles

The Influence of Sport Nutrition Knowledge on Body Composition and Perceptions of Dietary Requirements in Collegiate Athletes

Sport nutrition knowledge has been shown to influence dietary habits of athletes. The purpose of the current study was to examine relationships between sport nutrition knowledge and body composition and examine potential predictors of body weight goals in collegiate athletes. Participants included National Collegiate Athletic Association Division III women (n = 42, height: 169.9 ± 6.9 cm; body mass: 67.1 ± 8.6 kg; fat-free mass: 51.3 ± 6.6 kg; body fat percent: 24.2 ± 5.3%) and men (n = 25, height: 180.8 ± 7.2 cm; body mass: 89.2 ± 20.5 kg; fat-free mass: 75.9 ± 12.2 kg; body fat percent: 13.5 ± 8.9%) athletes. Body composition was assessed via air displacement plethysmography. Athletes completed a validated questionnaire designed to assess sport nutrition knowledge and were asked questions about their perceived dietary energy and macronutrient requirements, as well as their body weight goal (i.e., lose, maintain, gain weight). Athletes answered 47.98 ± 11.29% of questions correctly on the nutrition questionnaire with no differences observed between sexes (men: 49.52 ± 11.76% vs. women: 47.03 ± 11.04%; p = 0.40). An inverse relationship between sport nutrition knowledge scores and body fat percentage (BF%) (r = −0.330; p = 0.008), and fat mass (r = −0.268; p = 0.032) was observed for all athletes. Fat mass (β = 0.224), BF% (β = 0.217), and body mass index (BMI) (β = 0.421) were all significant (p < 0.05) predictors of body weight goal in women. All athletes significantly (p < 0.001) underestimated daily energy (−1360 ± 610.2 kcal/day), carbohydrate (−301.6 ± 149.2 grams/day [g/day]), and fat (−41.4 ± 34.5 g/day) requirements. Division III collegiate athletes have a low level of sport nutrition knowledge, which was associated with a higher BF%. Women athletes with a higher body weight, BF% and BMI were more likely to select weight loss as a body weight goal. Athletes also significantly underestimated their energy and carbohydrate requirements based upon the demands of their sport, independent of sex.

Test-retest reliability and validity of body composition methods in adults.

Cost-effective and efficient body composition measurement devices that are reliable and valid are necessary for identifying health risk as well as for understanding the effectiveness of lifestyle interventions. The objective of this study was to evaluate the test-retest reliability and validity of three body composition measurement devices. Forty-nine adults (mean age (SD)=31.5 (10.7) y; BMI=23.5 (3.0) kg/m2 ) completed a reference air displacement plethysmography (ADP) measure, and duplicate measures using skinfold callipers (Lange), ultrasound (BodyMetrix A-mode) and a 3-dimensional photonic scanner (3DPS; Fit3D ProScanner). Skinfold thickness was measured at seven sites using callipers and ultrasound; percent body fat (%BF) was then estimated using population-specific algorithms. The 3DPS was used to measure body circumferences, and then %BF was estimated using its beta-software. While skinfold callipers showed poor absolute reliability (mean differences (Δ) [95% CI]=0.54% [0.22, 0.87], standard error of measurement (SEM)=0.63%), ultrasound and the 3DPS showed excellent absolute (Δ=0.17% [-0.25, 0.58], SEM=0.78%; and Δ=-0.01% [-0.43, 0.40], SEM=0.67%, respectively) and relative reliability (ICC2,1 =0.988 [0.979, 0.993]; and ICC2,1 =0.983 [0.968, 0.991], respectively). Compared to ADP (n=43), skinfold callipers underestimated %BF (Δ=-4.53 [-7.72, -1.34]; p=0.003), while ultrasound (Δ=-0.32 [-3.51, 2.87]; p=0.99) and the 3DPS (Δ=1.06 [-2.12. 4.26]; p=0.77) were not significantly different. Bland-Altman plots showed a minimal bias of ultrasound [95% limit of agreement (LOA)=-7.87, 7.23] and the 3DPS [95% LOA=-6.66, 8.79]. In conclusion, estimating %BF from subcutaneous fat measurements using ultrasound and body circumferences using a 3DPS may be reliable and valid methods that require minimal technician expertise.

*O-31: Growth and Fat Mass, But Not Fat-free Mass, are Compromised in Infants with Parenteral Nutrition Need after Neonatal Intestinal Surgery

Introduction: Children with intestinal failure (IF) receiving long-term home parenteral nutrition (PN) have an altered body composition (BC), but early data on BC changes from the start of PN onwards are lacking. We aimed to assess growth and BC in infants after neonatal intestinal surgery necessitating PN, and to explore associations with clinical parameters. Methods: In this prospective cohort study, infants were included after intestinal surgery. IF was defined as PN-dependency for >60 days. Standard deviation scores (SDS) for anthropometric parameters were calculated until 6 months corrected age (ca). In a subgroup, fat mass (FM) and fat-free mass (FFM) were measured with air-displacement plethysmography (ADP) at 2 and 6 months ca. SDS for FM index (=FM in kg / (length in m)2) and FFM index were calculated. The association between the cumulative amount of PN (PNcum=area-under-the-curve of duration x energy percentage from PN) and anthropometric and BC parameters was evaluated with linear regression analyses correcting for sex and gestational age. Results: Ninety neonates were included (53% boys, 67% preterm, median birth weight -0.1 SDS, 40% with IF). Studied infants had compromised anthropometric parameters during follow-up. At 6 months ca, infants remained smaller (median weight-for-age SDS -0.9, p<0.001) and shorter (median length-for-age SDS -0.4, p=0.003) than the normal population. In 56 infants, 90 ADP measurements were performed. FM index SDS was significantly lower than the reference population at both 2 and 6 months ca (-0.8, p<0.001 and -0.7, p=0.001), but the FFM index SDS did not differ. PNcum was not associated with anthropometric or BC parameters. Conclusions: In this cohort of infants with PN need after neonatal surgery, compromised growth, decreased FM and adequate FFM were observed during the first 6 months. The cumulative amount of PN was not a predictor of BC outcomes. The need for continuing growth monitoring after 6 months of age seems obvious, but further research needs to explore the benefit of incorporating ongoing monitoring of BC during follow-up.

IGF-I, Growth, and Body Composition in Preterm Infants up to Term Equivalent Age

ContextThere are concerns that a higher fat mass in the early life of preterm infants is associated with adverse cardiometabolic outcomes in young adulthood.ObjectiveTo investigate the role of IGF-I and growth in determining body composition of preterm infants at term equivalent age.MethodsAn observational study was conducted from August 2015 to August 2018. From birth to term equivalent age, IGF-I levels were measured bi-weekly and growth was assessed weekly. At term equivalent age, body composition was assessed through air displacement plethysmography; 65 infants with a gestational age of 24 to 32 weeks were assessed at term equivalent age, of whom 58 completed body composition measurement. The main outcome measures were fat (free) mass (g) and fat (free) mass percentage at term equivalent age.ResultsIn the first month of life, each 0.1 nmol/L per week increase in IGF-I was associated with a 465 g (SE 125 g) increase in fat free mass. A greater increase in weight SDS in the first month of life was associated with a higher fat free mass percentage (B 200.9; 95% CI, 12.1-389.6). A higher head circumference SDS was associated with more fat free mass (r = 0.46; 95% CI, 0.21-0.65). However, a greater increase in weight SDS up to term equivalent age was associated with a lower fat free mass percentage (B −55.7, SE 9.4).ConclusionThese findings suggest that impaired growth in the first month of life is associated with a less favorable body composition at term equivalent age.

Metabolic adaptation is associated with less weight and fat mass loss in response to low-energy diets

BackgroundThe practical relevance of metabolic adaptation remains a controversial issue. To the best of our knowledge, no study has properly evaluated the role of metabolic adaptation in modulating weight loss outcomes. Therefore, the aim of this study was to determine the association between metabolic adaptation, at the level of resting metabolic rate (RMR), and weight and fat mass (FM) loss after low-energy diets (LED), after adjusting for dietary adherence and other confounders.Methods71 individuals with obesity (BMI: 34.6 ± 3.4 kg/m2; age: 45.4 ± 8.2 years; 33 males) were randomized to one of three 1000 kcal/day diets for 8 weeks. Body weight, FM and fat-free mass (FFM) (air displacement plethysmography), RMR (indirect calorimetry) and physical activity level (PAL) (armbands) were measured at baseline and at week 9. Metabolic adaptation at week 9 was defined as measured RMR minus predicted RMR at week 9. An equation to predict RMR was derived from baseline data of all participants that were part of this analysis and included age, sex, FM and FFM as predictors. Dietary adherence was calculated from RMR, PAL and body composition changes. Linear regression was used to assess the potential role of metabolic adaptation in predicting weight and FM loss after adjusting for dietary adherence, average PAL, sex, baseline FM and FFM and randomization group.ResultsParticipants lost on average 14 ± 4 kg of body weight (13 ± 3%) and presented with metabolic adaptation (−92 ± 110 kcal/day, P < 0.001). Metabolic adaptation was a significant predictor of both weight (β = −0.009, P < 0.001) and FM loss (β = −0.008, P < 0.001), even after adjusting for confounders (R2 = 0.88, 0.93, respectively, P < 0.001 for both). On average, an increase in metabolic adaptation of 50 kcal/day was associated with a 0.5 kg lower weight and FM loss in response to the LED.ConclusionIn individuals with obesity, metabolic adaptation at the level of RMR is associated with less weight and FM loss in response to LED.Trial registration ID: NCT02944253.

Anthropometry-based prediction of body composition in early infancy compared to air-displacement plethysmography.

Anthropometry-based equations are commonly used to estimate infant body composition. However, existing equations were designed for newborns or adolescents. We aimed to (a) derive new prediction equations in infancy against air-displacement plethysmography (ADP-PEA Pod) as the criterion, (b) validate the newly developed equations in an independent infant cohort and (c) compare them with published equations (Slaughter-1988, Aris-2013, Catalano-1995). Cambridge Baby Growth Study (CBGS), UK, had anthropometry data at 6 weeks (N=55) and 3 months (N=64), including skinfold thicknesses (SFT) at four sites (triceps, subscapular, quadriceps and flank) and ADP-derived total body fat mass (FM) and fat-free mass (FFM). Prediction equations for FM and FFM were developed in CBGS using linear regression models and were validated in Sophia Pluto cohort, the Netherlands, (N=571 and N=447 aged 3 and 6 months, respectively) using Bland-Altman analyses to assess bias and 95% limits of agreement (LOA). CBGS equations consisted of sex, age, weight, length and SFT from three sites and explained 65% of the variance in FM and 79% in FFM. In Sophia Pluto, these equations showed smaller mean bias than the three published equations in estimating FM: mean bias (LOA) 0.008 (-0.489, 0.505) kg at 3 months and 0.084 (-0.545, 0.713) kg at 6 months. Mean bias in estimating FFM was 0.099 (-0.394, 0.592) kg at 3 months and -0.021 (-0.663, 0.621) kg at 6 months. CBGS prediction equations for infant FM and FFM showed better validity in an independent cohort at ages 3 and 6 months than existing equations.

Ultrasound measurements of abdominal muscle thickness are associated with postmenstrual age at full oral feedings in preterm infants: A preliminary study.

A premature infant's discharge from the neonatal intensive care unit (NICU) is dependent on factors such as respiratory stability, adequate growth, and the ability to consume oral feeds. Once infants have achieved respiratory stability, a tool that can better predict age at discharge is desirable. Thus, we conducted a secondary data analysis to assess the association between ultrasound measurements of abdominal muscle thickness and postmenstrual age (PMA) at full oral feedings. Forty-nine (n = 49) healthy, premature infants (mean gestational age = 32 weeks) were recruited from the NICU. Anthropometric measurements and ultrasound measurements of the rectus abdominis were conducted when infants were medically stable. Fat-free mass (FFM) was obtained using air displacement plethysmography. The relationship between ultrasound measurements of muscle thickness and PMA at full oral feedings was assessed using linear regression analysis. The relationship between FFM z-scores and PMA at full oral feedings was also assessed for comparison. When adjusting for gestational age at birth, PMA at measurement, days of positive pressure respiratory support, weight, and length, ultrasound measurements of abdominal muscle thickness were independently, negatively associated with PMA at full oral feedings (β estimate: -0.71, P = .03). Preliminary results suggest infants with greater abdominal muscle thickness may reach full oral feedings at an earlier PMA (nearly 1 week per millimeter). Thus, ultrasound measurements of abdominal muscle thickness may be helpful in assessing readiness for discharge in healthy preterm infants. Further research is needed for development and validation of a prediction equation.

Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review.

Anthropometrics are a set of direct quantitative measurements of the human body’s external dimensions, which can be used as indirect measures of body composition. Due to a number of limitations of conventional manual techniques for the collection of body measurements, advanced systems using three-dimensional (3D) scanners are currently being employed, despite being a relatively new technique. A systematic review was carried out using Pubmed, Medline and the Cochrane Library to assess whether 3D scanners offer reproducible, reliable and accurate data with respect to anthropometrics. Although significant differences were found, 3D measurements correlated strongly with measurements made by conventional anthropometry, dual-energy X-ray absorptiometry (DXA) and air displacement plethysmography (ADP), among others. In most studies (61.1%), 3D scanners were more accurate than these other techniques; in fact, these scanners presented excellent accuracy or reliability. 3D scanners allow automated, quick and easy measurements of different body tissues. Moreover, they seem to provide reproducible, reliable and accurate data that correlate well with the other techniques used.

Different feeding regimens were not associated with variation in body composition in preterm infants

Aim The aim was to determine body composition and growth in preterm infants based on two different feeding regimens and to assess how standard and individual fortification (IF) affect energy and protein intake. Body composition was assessed at full term and at four months corrected age. Methods Sixty preterm infants born before gestational week 32 were randomized either to IF of mother’s breast milk after it had been analyzed or to standard fortification (SF) of mother’s breast milk based on the average protein and energy content of breast milk. Body composition was measured at full term and at four months corrected age, using air displacement plethysmography. Growth rate and nutritional intake analyses were also conducted. Results At 40 weeks gestational age, there was no difference between weight (g) (IF 3056 ± 472 vs. SF 3119 ± 564), body fat (%) (IF 19 ± 3.3 vs. SF 21 ± 5.6), fat mass, or fat-free mass between the two groups. Furthermore, there was no difference between the groups in weight, length, head circumference, or body composition at four months corrected age. Conclusions Fortification based on breast milk analysis may not improve growth in preterm infants compared to SF. However, both groups were smaller and had a different body composition at term corrected age compared to infants born at term.

Multicomponent density models for body composition: Review of the dual energy X-ray absorptiometry volume approach.

Accurate and precise body composition estimates, notably of total body adiposity, are a vital component of in vivo physiology and metabolic studies. The reference against which other body composition approaches are usually validated or calibrated is the family of methods referred to as multicomponent "body density" models. These models quantify three to six components by combining measurements of body mass, body volume, total body water, and osseous mineral mass. Body mass is measured with calibrated scales, volume with underwater weighing or air-displacement plethysmography, total body water with isotope dilution, and osseous mineral mass by dual-energy X-ray absorptiometry. Body density is then calculated for use in model as body mass/volume. Studies over the past decade introduced a new approach to quantifying body volume that relies on dual-energy X-ray absorptiometry measurements, an advance that simplifies multicomponent density model development by eliminating the need for underwater weighing or air-displacement plethysmography systems when these technologies are unavailable and makes these methods more accessible to research and clinical programs. This review critically examines these new dual-energy X-ray approaches for quantifying body volume and density, explores their shortcomings, suggests alternative derivation approaches, and introduces ideas for potential future research studies.

BODY COMPOSITION AMONG UNIVERSITY FEMALE ATHLETES OF TEAM SPORTS

ABSTRACT Introduction: The assessment of body composition in female athletes of different sports is important for health monitoring. Objective: To compare body composition in university athletes of different team sports (indoor soccer, flag football and volleyball). Methods: A cross-sectional study carried out with 45 female athletes, aged 18 to 35 years (22.8 ± 3.55). The dependent variables were body fat mass (FM) and fat-free mass (FFM) measured by air displacement plethysmography. Bone mineral content, adjusted for height (BMC/height) and bone mineral density (BMD), were measured by dual energy X-ray absorptiometry. The independent variable was sport [flag football (n = 12); indoor soccer (n = 20); volleyball (n = 13)] and the covariates were age (complete years), training volume (minutes per week) and length of time playing the sport (complete years). Analysis of covariance was used. Results: Adjusting the model for covariates, volleyball athletes (19.27 kg ± 2.20) presented higher FM values compared to the flag football (16.00 kg ± 1.70) and indoor soccer players (12.20 kg ± 1.30). There was no significant difference in FFM, BMC/height and total BMD between sports, even after adjusting for covariates. Conclusion: Volleyball athletes presented higher FM compared to flag football and indoor soccer athletes. There were no differences in FFM, BMC/height and BMD among the players of the different team sports. This study can help coaches and other sports professionals to prevent injuries to athletes in sports such as higher FM (volleyball), or to prevent diseases such as menstrual irregularities, which are common in athletes who may have low levels of body fat (indoor soccer players), this being one of the risk factors for the female athlete triad (eating disorders, menstrual irregularities and low BMD). Level of evidence III; Retrospective comparative study .

Joint effects of ambient air pollution and maternal smoking on neonatal adiposity and childhood BMI trajectories in the Healthy Start study.

Participants were 526 mother-child pairs, born ≥37 weeks. Cotinine was measured at ~27 weeks gestation. Whole pregnancy and trimester-specific O3 and PM2.5 were estimated via. inverse-distance weighted interpolation from stationary monitors. Neonatal adiposity (fat mass percentage) was measured via. air displacement plethysmography. Child weight and length/height were abstracted from medical records. Interaction was assessed by introducing cotinine (<31.5 vs. ≥31.5 ng/mL [indicating active smoking]), O3/PM2.5 (low [tertiles 1-2] vs. high [tertile 3]), and their product term in linear regression models for birth weight and neonatal adiposity and mixed-effects models for BMI trajectories. The rate of BMI growth among offspring jointly exposed to maternal smoking and high PM2.5 (between 8.1 and 12.7 μg/m3) in the third trimester was more rapid than would be expected due to the individual exposures alone (0.8 kg/m2 per square root year; 95% CI = 0.1, 1.5; P for interaction = 0.03). We did not detect interactions between maternal smoking and O3 or PM2.5 at any other time on birth weight, neonatal adiposity, or BMI trajectories. Although PM2.5 was generally below the EPA annual air quality standards of 12.0 μg/m3, exposure during the third trimester may influence BMI trajectories when combined with maternal smoking.

The Effect of Brewers’ Spent Grain on Markers of Cardiovascular Disease Risk in Healthy Adults: A Randomized Controlled Trial

Abstract Objectives The brewing industry generates larges amounts of leftover malted barley and grain adjuncts from beer production called brewers’ spent grain (BSG). Due to the high protein and fiber content, upcycling BSG into functional foods has gained recent interest. Observational studies demonstrate fiber-rich whole grains such as barley are associated with cardiovascular disease (CVD) risk reduction. This study evaluated the effect of BSG on blood biomarkers of CVD risk, glucose metabolism, insulin sensitivity, inflammation, body composition, and blood pressure. Methods A single-blind, randomized, controlled feeding study was conducted in 37 healthy adults (26 ± 4 y; BMI 23 ± 3 kg/m2) comparing consumption of muffins with 10.4 g BSG (n = 19) or 0 g BSG (control; n = 18) daily for 8 weeks. At baseline and week 8 fasting blood was collected for lipids, glucose, insulin, and C-reactive protein, blood pressure was measured using the oscillometric technique, and body composition was assessed using air displacement plethysmography. Participants also recorded 3-day dietary intake, 2-day gastrointestinal symptoms and bowel habits, and daily muffin consumption. Two-way repeated-measures mixed analysis of variance (ANOVA) and Fisher's Least Significant Difference (LSD) tests examined between- and within-group differences. Results Dietary fiber intake increased in the BSG group (5 g/day; 26%; P = 0.003), but there were no significant effects on blood lipids, glucose metabolism, insulin sensitivity, inflammation, body composition, or blood pressure. Greater reductions of total cholesterol (-3.8 mg/dL), triglycerides (-3.4 mg/dL), and systolic blood pressure (-1.4 mm Hg), maintenance of low-density lipoprotein cholesterol (LDL-C) (0.9 mg/dL), and increases in high-density lipoprotein cholesterol (HDL-C) (2.3 mg/dL) were observed in the BSG group at week 8 but significance was not achieved. Conclusions Consuming 10.4 g BSG daily for 8 weeks increases dietary fiber intake and is well tolerated when habitually consumed but does not significantly impact blood biomarkers of CVD risk, body composition, or blood pressure in healthy adults. Participant health status, BSG dosage, and study design may be key determinants of outcome measures and should be further evaluated in future studies. Funding Sources Jennifer Thomas Brown Memorial Nutrition Award and Moore-Khourie Award.

Associations of body composition and physical fitness with gestational diabetes and cardiovascular health in pregnancy: Results from the HealthyMoms trial

The aim of this study was to examine associations of body composition (fat mass index, % fat mass, fat-free mass index, body mass index) and physical fitness (cardiorespiratory fitness and handgrip strength) with gestational diabetes and cardiovascular health in early pregnancy. This cross-sectional study utilized baseline data (n = 303) collected in early pregnancy from the HealthyMoms trial. Body composition was measured using air-displacement plethysmography, cardiorespiratory fitness was assessed by means of the 6-min walk test and handgrip strength using a dynamometer. Logistic regression was used to estimate odds ratios (ORs) for gestational diabetes as well as high (defined as 1 SD above the mean) blood pressure, homeostatic model assessment for insulin resistance (HOMA-IR), and metabolic syndrome score (MetS score) per 1 SD increase in body composition and fitness variables. Fat mass index, % fat mass and body mass index were all strongly associated with gestational diabetes (ORs: 1.72–2.14, P ≤ 0.003), HOMA-IR (ORs: 3.01–3.80, P < 0.001), blood pressure (ORs: 1.81–2.05, P < 0.001) and MetS score (ORs: 3.29–3.71, P < 0.001). Associations with fat-free mass index were considerably weaker (ORs: 1.26–1.82, P = 0.001–0.15) and were strongly attenuated after adjustments for fat mass index (ORs: 0.88–1.54, P = 0.039–0.68). Finally, greater cardiorespiratory fitness was associated with lower risk of high HOMA-IR and MetS score (ORs: 0.57–0.63, P ≤ 0.004) although these associations were attenuated when accounting for fat mass index (ORs: 1.08-1.11, P ≥ 0.61). In conclusion, accurately measured fat mass index or % fat mass were strongly associated with gestational diabetes risk and markers of cardiovascular health although associations were not stronger than the corresponding ones for body mass index. Fat-free mass index had only weak associations with gestational diabetes and cardiovascular health which support that the focus during clinical care would be on excess fat mass and not fat-free mass.

Effect of Combined Interval and Continuous Exercise Training on Gastric Emptying, Appetite, and Adaptive Responses in Men With Overweight and Obesity.

Background/Objectives: Characterizing compensatory and adaptive responses to exercise assists in understanding changes in energy balance and health outcomes with exercise interventions. This study investigated the effects of a short-term exercise intervention (combining high intensity interval (HII) and continuous exercise) on (1) gastric emptying, appetite and energy intake; and (2) other adaptive responses including cardiorespiratory fitness, in inactive men with overweight/obesity.Methods: Fifteen men (BMI: 29.7 ± 3.3 kg/m−2) completed a 4-wk supervised exercise intervention, consisting of 5 exercise sessions per week alternating between HII (30 s at 100% VO2max followed by 30 s recovery) and continuous (at 50% VO2max) training on a cycle ergometer, progressing from 30 to 45 min session duration. Gastric emptying (13C-octanoic acid breath test), appetite (visual analog scale), energy intake (ad libitum lunch meal), body composition (air displacement plethysmography), non-exercise activity (accelerometery) VO2max, blood pressure, and fasting concentrations of glucose, insulin, and ghrelin were measured before and after (≥48 h) the intervention.Results: Gastric emptying, glucose, insulin and ghrelin were unchanged, but energy intake at the ad libitum lunch test meal significantly increased at post-intervention (+171 ± 116 kcal, p < 0.01). Body weight (−0.9 ± 1.1 kg), waist circumference (−2.3 ± 3.5 cm) and percent body fat (−0.9 ± 1.1%) were modestly reduced (P < 0.05). VO2max increased (+4.4 ± 2.1 ml.kg.min−1) by 13% and systolic (−6.2 ± 8.4 mmHg) and diastolic (−5.8 ± 2.2 mmHg) blood pressure were significantly reduced (P ≤ 0.01 for all).Conclusions: Four weeks of exercise training did not alter gastric emptying, indicating gastric emptying may only adapt to a higher volume/longer duration of exercise or changes in other characteristics associated with regular exercise. The combination of HII and continuous exercise training had beneficial effects on body composition, cardiorespiratory fitness, and blood pressure and warrants further investigation in larger randomized controlled trials.

Combining Anthropometry and Bioelectrical Impedance Analysis to Predict Body Fat in Female Athletes.

Accurate methods for predicting the percentage of body fat (%Fat) in female athletes are needed for those who lose weight before competition. Methods mandated by sport governing bodies for minimal weight determination in such athletes lack validation. To (1) determine whether combining anthropometry using skinfold (SF) thicknesses and bioelectrical impedance analysis (BIA) in a 3-compartment (3C) model would improve the prediction of %Fat in female athletes and (2) evaluate the Slaughter SF equation. Cross-sectional study. Laboratory-based study during the preseason for collegiate sports. A total of 18 National Collegiate Athletic Association Division I female athletes were recruited from swim and gymnastics teams. We measured %Fat based on a 4-compartment (4C) criterion incorporating body density (air-displacement plethysmography), total body water (D2O dilution), and bone mineral mass (dual-energy x-ray absorptiometry) compared with predicted %Fat using SF alone (Slaughter equation), BIA (single frequency for total body water estimate), and combined SF and BIA (3C model). For the %Fat determined using the 4C criterion, the highest adjusted coefficient of determination and lowest prediction error (r2; ±standard error of estimate) were for the 3C model (r2 = 0.87; ±2.8%), followed by BIA (r2 = 0.80; ±3.5%) and SF (r2 = 0.76; ±3.8%; P values < .05 for all). Means differed for the %Fat determined using BIA (26.6% ± 7.5%) and the 3C (25.5% ± 7.2%) versus 4C model (23.5% ± 7.4%; analysis of variance and post hoc analyses: P values < .05). The SF estimate (24.0% ± 7.8%) did not differ from the 4C value. Combining SF and BIA might improve the prediction and lower the prediction error for determining the %Fat in female athletes compared with using SF or BIA separately. Regardless, the Slaughter equation for SF appeared to be accurate for determining the mean %Fat in these female athletes.

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

BackgroundThe 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).MethodsThis 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.ResultsFor 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. ConclusionThe 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.

Exclusivity of breastfeeding and body composition: learnings from the Baby-bod study

BackgroundThis report evaluated the breastfeeding status in a Tasmanian cohort and its effects on infant and maternal anthropometry and body composition.MethodsAn observational-cohort analysis of self-reported feeding data from 175 Tasmanian mother-baby dyads (recruited via in-person contact between September 2017 and October 2019), was executed. Only mothers who were ≥ 18 years of age, who had a singleton pregnancy and were able to speak and understand English, were included in the study. Infants outside a gestational age range between 37+ 0 and 41+ 6 weeks were excluded. Infant (using Air Displacement Plethysmography) and maternal body composition was assessed at 0, 3 and 6 months. Analysis of variance with relevant statistical corrections were utilised for cross-sectional and longitudinal comparisons between non-exclusively breastfed (neBF) and exclusively breastfed (eBF) groups.ResultsFat-free mass was significantly higher [t = 2.27, df = 98, P = 0.03, confidence interval (CI) 0.03, 0.48] in neBF infants at 6 months (5.59 ± 0.59 vs 5.33 ± 0.50 kg) despite a higher mean fat-free mass in eBF infants at birth (2.89 ± 0.34 vs 3.01 ± 0.35 kg). Weak evidence for different fat mass index trajectories was observed for eBF and neBF infants in the first 6 months of life (ANOVA, F = 2.42, df = 1.9, P = 0.09) with an inversion in fat mass index levels between 3 and 6 months. Body Mass Index (BMI) trajectories were significantly different in eBF and neBF mothers through pregnancy and the first 6 months postpartum (ANOVA, F = 5.56, df = 30.14, P = 0.01). Compared with eBF mothers, neBF mothers retained significantly less weight (t = − 2.754, df = 158, P = 0.02, CI -6.64, − 1.09) at 3 months (0.68 ± 11.69 vs 4.55 ± 6.08 kg) postpartum. Prevalence for neBF was incrementally higher in mothers with a normal BMI compared to mothers with obesity, and mothers who underwent surgical or medical intervention during birth were less likely to exclusively breastfeed.ConclusionsInfants with different feeding patterns may display varying growth patterns in early life and sustained breastfeeding can contribute to greater postpartum maternal weight loss.

Associations between obesity-related gene expression in maternal and cord blood and newborn adiposity: findings from the Araraquara Cohort study.

Genes involved in the regulation of metabolism, adipose tissue deposition, inflammation, and the appetite-satiety axis may play an important role in fetal development, and possibly induce permanent metabolic changes and fat accumulation. In this study we investigated: (1) obesity-related gene expression in maternal and cord blood of overweight/obese and normal-weight pregnant women; (2) associations between obesity-related gene expression in maternal and cord blood; and (3) associations of gene expression in each of maternal and cord blood with newborn adiposity. Twenty-five overweight/obese and 32 normal-weight pregnant women were selected from the Araraquara Cohort Study according to their pre-pregnancy BMI. Maternal and cord blood gene expression of LEPR, STAT3, PPARG, TLR4, IL-6, IL-10, FTO, MC4R, TNF-α, and NFκB were investigated by relative real-time PCR quantification. The body composition of the newborns was assessed by air displacement plethysmography. Associations between maternal and cord blood gene expression and markers of newborn adiposity (weight, BMI, and fat mass%) were explored by linear regression models controlling for maternal age, pre-pregnancy BMI, maternal gestational weight gain, gestational age, and newborn sex. There was higher TLR4, NFκB, and TNF-a expression, and lower IL-6 expression, in overweight/obese pregnant women and their respective newborns compared with normal-weight women and their newborns (p < 0.001). Maternal PPARG gene expression was associated with both weight and fat mass % of the newborns, and cord blood IL-10 expression was associated with BMI and fat mass %, controlling for confounders. To our knowledge, this is the first study to evaluate the relationship of maternal and cord blood gene expression with adiposity markers of the newborn. Our results provide evidence for the contribution of maternal and cord blood gene expression-particularly maternal PPARG and TLR4 expression, and cord blood IL-10 expression-to newborn weight, BMI, and fat mass %.

Association between body composition at term equivalent age and Bayley scores at 2 years in preterm infants.

To evaluate whether in a historical cohort of preterm infants, body composition at term equivalent age (TEA) correlated with Bayley scores at 2 years of corrected age. Ninety-five preterm babies were admitted to our neonatal intensive unit and underwent air-displacement plethysmography assessment at TEA. Of these, 74 completed Bayley tests at 2 years. We used multiple linear regression analysis to assess the association of body composition with Bayley scores. Mean gestational age and birthweight of our population were respectively 29.8 (±2.2) weeks and 1150 (±330) grams. Higher fat-free mass (FFM) z-score was associated with higher language (adjusted r = 0.28, p = 0.03) and motor composite scores (adjusted r = 0.33, p = 0.03) in both univariate and multiple regression analysis including birth weight, sex, maternal university degree, mechanical ventilation, and bilingualism. In our study FFM at term equivalent age was associated with higher Bayley composite motor and language scores at 2 years.