scholarly journals Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution

2019 ◽  
Vol 5 (3) ◽  
pp. 20170078
Author(s):  
Federico Ponti ◽  
Andrea Plazzi ◽  
Giuseppe Guglielmi ◽  
Giulio Marchesini ◽  
Alberto Bazzocchi

Objective: The amount of lean and fat tissues in different body compartments is likely to drive the cardiovascular risk. The longitudinal effects of changes of lean and fat mass, particularly following weight loss programs, cannot be reliably identified by the sole measurement of anthropometry. We discuss this problem on the basis of data collected in obese females with the use of dual-energy X-ray absorptiometry (DXA), anthropometry and laboratory. Methods: We present longitudinal data in six obese females (three pairs—weight stable, weight loss, weight increase) assigned to a medical treatment. All patients underwent whole-body scan (Lunar iDXA, GE Healthcare, WI) and laboratory analysis (blood fasting glucose, total low-density lipoprotein and high-density lipoprotein cholesterol, triglycerides) before treatment and after 12 months. Fat mass and non-bone lean mass were assessed at whole-body and regional levels. Android visceral adipose tissue was estimated by a recently validated software. Results: The most common anthropometric measures (body mass index, waist circumference) were totally ineffective in documenting the changes in body composition in 12 month follow-up, whereas DXA could detect regional changes, which were paralleled in part by changes in biochemical indices. Conclusion: Serial DXA measurements could provide a comprehensive assessment of body compartments, independent of changes in classic anthropometry (body mass index and waist circumference), identifying a significant redistribution of lean and fat mass and providing clues to explain changes in cardiovascular risk profile.

2020 ◽  
Vol 45 (3) ◽  
pp. 318-326
Author(s):  
Zahra Farahnak ◽  
Ye Yuan ◽  
Catherine A. Vanstone ◽  
Hope A. Weiler

Research regarding polyunsaturated fatty acid (PUFA) status and body composition in neonates is limited. This study tested the relationship between newborn docosahexaenoic acid (DHA) status and body composition. Healthy mothers and their term-born infants (n = 100) were studied within 1 month postpartum for anthropometry and whole-body composition using dual-energy X-ray absorptiometry. Maternal and infant red blood cell (RBC) membrane PUFA profiles were measured using gas chromatography (expressed as percentage of total fatty acids). Data were grouped according to infant RBC DHA quartiles and tested for differences in n-3 status and infant body composition using mixed-model ANOVA, Spearman correlations, and regression analyses (P < 0.05). Mothers were 32.2 ± 4.6 years (mean ± SD) of age, infants (54% males) were 0.68 ± 0.23 month of age, and 80% exclusively breastfed. Infant RBC DHA (ranged 3.96% to 7.75% of total fatty acids) inversely associated with infant fat mass (r = –0.22, P = 0.03). Infant and maternal RBC n-6/n-3 PUFA ratio (r2 = 0.28, P = 0.043; r2 = 0.28, P = 0.041 respectively) were positively associated with fat mass. These results demonstrate that both maternal and infant long-chain PUFA status are associated with neonatal body composition. Novelty Our findings support an early window to further explore the relationship between infant n-3 PUFA status and body composition. Maternal and infant n-3 PUFA status is inversely related to neonatal whole-body fat mass. DHA appears to be the best candidate to test in the development of a lean body phenotype.


2019 ◽  
Vol 74 (12) ◽  
pp. 1937-1943
Author(s):  
Joshua F Baker ◽  
Susan L Ziolkowski ◽  
Jin Long ◽  
Mary B Leonard ◽  
Andrew Stokes

Abstract Background It is controversial whether an altered relationship between adiposity and mortality occurs with aging. We evaluated associations between adiposity and mortality in younger and older participants before and after considering historical weight loss. Methods This study used whole-body dual-energy x-ray absorptiometry data from the National Health and Nutrition Examination Survey in adults at least 20 years of age. Fat mass index (FMI), determined by dual-energy x-ray absorptiometry, was converted to age-, sex-, and race-specific Z-Scores. Percent change in weight from the maximum reported weight was determined and categorized. Cox proportional hazards models assessed associations between quintile of FMI Z-Score and mortality. Sequential models adjusted for percent weight change since the maximum weight. Results Participants with lower FMI were more likely to have lost weight from their maximum, particularly among older participants with lower FMI. Substantially greater risk of mortality was observed for the highest quintile of FMI Z-Score compared to the second quintile among younger individuals [HR 2.50 (1.69, 3.72) p < .001]. In contrast, a more modest association was observed among older individuals in the highest quintile [HR 1.23 (0.99, 1.52) p = .06] (p for interaction <.001). In both the younger and older participants, the risks of greater FMI Z-Score were magnified when adjusting for percent weight change since maximum reported weight. Conclusions Older people with low fat mass report greater historical weight loss, potentially explaining substantially altered relationships between fat mass and mortality in older individuals. As a result, epidemiologic studies performed in older populations will likely underestimate the causal risks of excess adiposity.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3663-3663
Author(s):  
Etan Orgel ◽  
Nicole Mueske ◽  
David Robert Freyer ◽  
Steven D Mittelman

Abstract Introduction Obesity is associated with increased morbidity and mortality in children diagnosed with high-risk acute lymphoblastic leukemia (HR-ALL). The mechanism of this adverse influence is thought to be due to adipose tissue and adipokines affecting immune function and/or decreasing chemotherapy efficacy. Adiposity, and not body weight, is therefore the central feature for exploring the influence of obesity on outcome in HR-ALL. To date, multiple international consortia have investigated this association using the surrogate measure of Body Mass Index (BMI). BMI estimates body composition based on height and weight and is therefore not able to distinguish between fat mass, bone density, and lean muscle. While BMI is generally a good indicator of overall adiposity, changes in weight that may occur over the course of therapy reflect not only a change in fat mass, but also changes in other components of body composition. We therefore hypothesized that BMI may not be a sensitive measure for assessing change in adiposity during therapy. Methods Body composition was assessed serially by BMI and the gold-standard Dual-energy X-ray Absorptiometry (DXA) as an ancillary aim in children with newly diagnosed HR-ALL enrolled on a prospective clinical trial investigating bone health. Children were treated as per Children’s Oncology Group HR-ALL regimens (CCG1961, AALL0232, AALL1131). Body composition was compared at three time-points (TP): within 24 hours of diagnosis (TP1), 28 days later (TP2, end of induction), and at the end of delayed intensification (TP3, mean interval of 8.2 months in the cohort). Age and tanner stage at diagnosis, gender, and ethnicity were collected. DXA was used to analyze body composition as defined by total mass of “body minus head” and separated into respective percentages of lean muscle, fat mass, and bone mineral content. BMI was converted to a percentage per Center for Disease Control and Prevention age- and gender- population norms. BMI percentage was compared to body fat percentage (BF%) overall and individually at each TP. Changes in body composition across TPs were evaluated by DXA. IRB approval was obtained and informed consent documented for all subjects. Results Of 51 subjects enrolled in the trial, a sub-cohort of 34 (66.6%) had sufficient DXA data for analysis. Of these, 85% (29/34) had DXA and BMI data at all 3 TPs, while 5/34 were too ill at diagnosis to complete the imaging. There were no significant differences in age, gender, and tanner stage between those included in the DXA sub-cohort and excluded; the cohort with DXA data consisted of a significantly higher prevalence of self-identified Hispanic subjects (31/34, 91% vs 11/17 65%). BF% by DXA was significantly correlated with BMI when observations from all TPs were combined (n=96, Spearman rho 0.6, p=0.002) and at each TP (TP1 rho=0.6, p=0.002; TP2 rho =0.7, p<0.001;TP3 rho=0.6, p=0.002). When change in BMI was compared to change in BF%, however, there was no significant correlation (TP1 vs TP2 rho=0.3, p=0.189; TP1 vs TP3 rho=0.1, p=0.632). Change in weight also did not correlate with change in BF% (TP1 vs TP2 rho=-0.2, p=0.420; TP1 vs TP3 rho=0.2, p=0.311); in fact, average BF% increased across all TPs despite a decrease or no change in weight (Table 1). On evaluation by DXA, change in weight was noted to be primarily due to a loss in lean muscle and gain in fat mass (Table 1). Conclusion BMI is an adequate cross-sectional assessment of obesity but was insufficient to assess longitudinal changes in body composition. Continued investigation into the association between ALL and obesity would be aided by prospective trials utilizing the gold-standard DXA or similarly sensitive measurements. Table 1 Variable At Diagnosis End of Induction (+28 days) End of Delayed Intensification (+8 months) Median, Mean (SD) Range Median, Mean (SD) Range Median, Mean (SD) Range BMI percentile 88.1, 72.4 ( 31.6) 0.2 – 99 77.7, 63.2 (33.4) 0 - 99.2 73, 62.4 (34.6) 0.2 - 99.6 Weight (Kg) 59.4, 61.6 (20.0) 23.7 – 105.5 59.4, 58.0 (18.7) 24.1 - 105 58.5, 60.1 (20.4) 25.0 – 110.6 Percent Body Fat 27.8, 28.3 (9.1) 8.7 – 45.8 33.6, 35.3 (10.3) 14.2 – 63.7 39.3, 38.5 (8.3) 20.0 – 52.1 Percent Lean Muscle 69.3, 68.9 (8.8) 52.2 – 87.3 63.4, 61.8 (10.0) 34.3 – 81.8 57.5, 58.7 (7.9) 45.4 – 76.1 Percent Bone Mineral Content 2.8, 2.8 (0.5) 1.7 – 4.0 2.9, 3.0 (0.6) 1.9 – 4.0 2.6, 2.6 (0.6) 1.7 – 3.9 Disclosures No relevant conflicts of interest to declare.


Author(s):  
Samaneh Farsijani ◽  
Lingshu Xue ◽  
Robert M Boudreau ◽  
Adam J Santanasto ◽  
Stephen B Kritchevsky ◽  
...  

Abstract Background Body composition assessment by computed tomography (CT) predicts health outcomes in diverse populations. However, its performance in predicting mortality has not been directly compared to dual-energy-X-ray-absorptiometry (DXA). Additionally, the association between different body compartments and mortality, acknowledging the compositional nature of human body, is not well-studied. Compositional Data Analysis, that is applied to multivariate proportion-type dataset, may help to account for the inter-relationships of body compartments by constructing log-ratios of components. Here, we determined the associations of baseline CT-based measures of mid-thigh cross-sectional areas vs. DXA measures of body composition with all-cause mortality in Health ABC cohort, using both traditional (individual body compartments) and Compositional Data Analysis (using ratios of body compartments) approaches. Methods The Health ABC study assessed body composition in 2911 older adults in 1996-97. We investigated the individual and ratios of (by Compositional Analysis) body compartments assessed by DXA (lean, fat, and bone-mass) and CT (muscle, subcutaneous fat area, intermuscular fat (IMF), and bone) on mortality, using Cox proportional hazard models. Results Lower baseline muscle area by CT (HRmen=0.56 [95%CI: 0.48-0.67], HRwomen=0.60 [0.48-0.74]), fat-mass by DXA (HRmen=0.48 [0.24-0.95]) were predictors of mortality in traditional Cox-regression analysis. Consistently, Compositional Data Analysis revealed that lower muscle area vs. IMF, muscle area vs. bone area, and lower fat-mass vs. lean-mass were associated with higher mortality in both sexes. Conclusion Both CT measure of muscle area and DXA fat-mass (either individually or relative to other body compartments) were strong predictors of mortality in both sexes in a community research setting.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Natália Tomborelli Bellafronte ◽  
Lorena Vega-Piris ◽  
Paula Garcia Chiarello ◽  
Guillermina Barril Cuadrado

Abstract Background and Aims Chronic kidney disease (CKD) patients frequently have an altered body composition driven by metabolic disorders from the uremic syndrome that usually leads to increased protein catabolism, with obesity and muscle impairment being common conditions associated with worse clinical prognosis and high mortality rates. Therefore, with increased mortality and disability rates of CKD patients in the last quarter of a century and the association of a poor body composition with low survival, routine and longitudinal assessment of body composition could improve clinical outcomes. Due to limited availability of reference methods to assess nutritional status, alternative methods are used. In view of the above, our goal was to evaluate the agreement between multifrequency bioelectrical impedance spectroscopy (BIS) and Dual-energy X-ray Absorptiometry (DXA) for assessment of body composition in CKD. Method Cross-sectional and prospective analyses by DXA (Hologic, GE®) and BIS (BCM, Fresenius Medical Care®) in whole-body (BISWB) and segmental (BISSEG) protocols were performed in CKD non-dialysis-dependent, hemodialysis and peritoneal dialysis (for at least 3 months), and renal transplantation (for at least 6 months) adult (18 ≤ age ≤ 60 years old) patients. Measurements were performed consecutively by the same professional after an 8-hour fast, drainage of the peritoneal dialysate and just after the midweek hemodialysis session. Intraclass correlation coefficient (ICC) and Bland-Altman plots were evaluated for agreement analysis in group and individual levels, respectively; linear regression analysis was performed for bias assessment and development of new equations; ROC curve was constructed for diagnosis of inadequate error tolerance (DXA - BIS &gt; ± 2kg). Results A total of 266 patients were included: 137 men (M) and 129 women (W); 81 were in non-dialysis-dependent treatment, 83 in hemodialysis, 24 in peritoneal dialysis, and 80 had renal transplantation. Total sample had a mean age of 47 ± 10 years old. CKD was secondary to systemic arterial hypertension in 29% of the total sample, to glomerulonephritis in 25%, to diabetes mellitus in 10%, to polycystic kidney in 7%, to glomerulosclerosis and systemic syndromes in 8%, and to other causes and unknown etiology in 20%. Fourteen patients (4 M and 10 W) were in automated and 9 (4 M and 5 W) in continuous ambulatory PD. KTx was by living donor in 18 (14 M and 4 W) and by deceased donor in 63 (34 M and 29 W) patients. The agreement with DXA was greater for BISWB than BISSEG; for fat mass (FM) (ICC in M = 0.89; ICC in W = 0.93) than for fat free mass (FFM) (ICC in M = 0.57; ICC in W = 0.52). Bland-Altman plots showed high limits of agreement (FFM: from -9.51 to 15.64kg; FM: from -7.71 to 7.32kg) with greater bias for FFM as muscular mass increases and for FM in extremes of body fat. The agreement was lower when using the prospective data (body change analysis) (ICC for FFM in M = 0.20; ICC for FFM in W = 0.49; ICC for FM in M = 0.46; ICC for FM in W = 0.58). The factors that interfered in bias between methods were extra to intracellular water ratio (ECW/ICW), body mass index, fat mass index, waist circumference, resistance and reactance (adjusted r2 for FFM = 0.90; r2 for FM = 0.87). FFM had poorer agreement in the last tertile of ECW/ICW sample (ICC in M = 0.69, 0.68 and 0.51; ICC in W = 0.71, 0.74 and 0.38 for first, second and third tertiles, respectively). An ECW/ICW cut-off point of &gt; 0.725 for inadequate error tolerance was determined. New prediction equations for FFM (r2 = 0.91) and FM (r2 = 0.89) presented adequate error tolerance in 55% and 63% in the validation sample compared to 30% and 39% of the original equation, respectively. Conclusion For body composition evaluation in CKD, BIS applied using the whole-body protocol, in normal hydration CKD patients is as reliable as DXA; BIS must be used with caution among overhydrated patients with ECW/ICW &gt; 0.725. The newly developed equations are indicated for greater precision.


Sports ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 85 ◽  
Author(s):  
Logan Posthumus ◽  
Campbell Macgregor ◽  
Paul Winwood ◽  
Katrina Darry ◽  
Matthew Driller ◽  
...  

This study explored the physical and fitness characteristics of elite professional rugby union players and examined the relationships between these characteristics within forwards and backs. Thirty-nine elite professional rugby union players from the New Zealand Super Rugby Championship participated in this study. Body composition was measured using dual-energy X-ray absorptiometry alongside anthropometrics. Fitness characteristics included various strength, power, speed, and aerobic fitness measures. Forwards were significantly (p ≤ 0.01) taller and heavier than backs, and possessed greater lean mass, fat mass, fat percentage, bone mass, and skinfolds. Forwards demonstrated greater strength and absolute power measures than backs (p = 0.02), but were slower and possessed less aerobic fitness (p ≤ 0.01). Skinfolds demonstrated very large correlations with relative power (r = −0.84) and speed (r = 0.75) measures within forwards, while backs demonstrated large correlations between skinfolds and aerobic fitness (r = −0.54). Fat mass and fat percentage demonstrated very large correlations with speed (r = 0.71) and aerobic fitness (r = −0.70) measures within forwards. Skinfolds, fat mass, and fat percentage relate strongly to key fitness characteristics required for elite professional rugby union performance. Individual and positional monitoring is important due to the clear differences between positions.


1995 ◽  
Vol 88 (3) ◽  
pp. 319-324 ◽  
Author(s):  
Susan A. Jebb ◽  
Gail R. Goldberg ◽  
Graham Jennings ◽  
Marinos Elia

1. There are few data regarding the accuracy of Hologic QDR-1000W dual-energy X-ray absorptiometry for the measurement of body composition. In two studies, one in an in vitro experimental system using oil and water mixtures and the other in samples of pork meat, the effect of depth and tissue thickness on the measured composition was assessed. In the latter study the measured fat mass was compared with that measured by direct analysis. 2. All data indicated a trend in the measured fat mass with depth, such that more fat was measured at extremes of depth (<10 cm and >25 cm) than at intermediate depths. 3. In samples of meat weighing approximately 55 kg, dual X-ray absorptiometry significantly underestimated the absolute fat mass compared with direct analysis (mean 20.4 ± 1.65%) by 5–8% or 1–4 kg of fat. 4. These findings are of direct relevance to both clinical and research work using this technique to measure body composition, in particular in circumstances in which changes in body composition and/or tissue thickness are anticipated.


Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 976 ◽  
Author(s):  
Juan José López-Gómez ◽  
Olatz Izaola-Jauregui ◽  
David Primo-Martín ◽  
Beatriz Torres-Torres ◽  
Emilia Gómez-Hoyos ◽  
...  

Background and aims: Meal replacement diets consist of replacing one or more meals with an artificial nutritional supplement. The objective of this study was to compare the effect of one against two meal replacement strategies on body composition and cardiovascular risk parameters in patients with obesity. Methods: A randomized clinical trial was designed with a modified hypocaloric diet with an artificial nutritional preparation replacing one or two meals for three months in patients with obesity and osteoarthritis pending orthopedic surgery. An anthropometric evaluation and a measurement of the body composition were done with bioelectrical impedance measurement at the beginning and at three months. Results: A total of 112 patients were recruited. Fifty-two patients (46.4%) were randomized to one replacement and 60 patients (53.6%) to two meal replacements. Eighty-one patients (72.3%) were women, and the average age was 61 (11.03) years. The percentage of weight loss at three months was 8.27 (4.79)% (one meal replacement: 7.98 (5.97)%; two meal replacements: 8.50 (3.48)%; p = 0.56). A decrease in fat mass measured by the fat mass index (FMI) was detected (one meal replacement: −2.15 (1.45) kg/m2 vs. two meal replacements: −2.78 (2.55) kg/m2; p > 0.05), and a relative increase in fat-free mass was observed (one meal replacement: +3.57 (4.61)% vs. two meal replacements: +2.14 (4.45)%; p > 0.05). A decrease in HOMA-IR, systolic blood pressure (SBP), and total cholesterol was observed in both groups without differences between them. Conclusions: The substitution strategies of one or two meal replacements were effective in weight loss and fat mass decrease without differences between the two groups. An improvement in lipid parameters, glycemic control, and systolic blood pressure was observed without differences between strategies.


Medicina ◽  
2010 ◽  
Vol 46 (2) ◽  
pp. 129 ◽  
Author(s):  
Arvydas Stasiulis ◽  
Asta Mockienė ◽  
Daiva Vizbaraitė ◽  
Pranas Mockus

The objective of the study was to assess changes in body composition, blood lipid and lipoprotein concentrations in 18–24-year-old women during the period of two-month aerobic cycling training. Material and methods. Young, healthy, nonsmoking women (n=19) volunteered to participate in this study. They were divided in two groups: experimental (E, n=10) and control (C, n=9). The subjects of group E exercised 3 times a week with intensity of the first ventilatory threshold and duration of 60 min. The group C did not exercise regularly over a two-month period of the experiment. The subjects of group E were tested before and after 2, 4, 6 and 8 weeks of the experiment. The participants of group C were tested twice with an eight-week interval. Results. Body weight, body mass index, body fat mass, and triacylglycerol (TAG) concentration decreased and high-density lipoprotein cholesterol (HDL-ch) concentration increased after the 8-week training program in the experimental group (P<0.05). Blood total cholesterol (Tch) and low-density lipoprotein cholesterol (LDL-ch) concentrations did not change significantly. Body weight and body mass index started to decrease after 2 weeks of the experiment, but significant changes were observed only after 6 and 8 weeks. Body fat mass was significantly decreased after 2 and 8 weeks of aerobic training. A significant increase in HDL-ch concentration was observed after 4, 6, and 8 weeks. A significant decrease in TAG concentration was observed after 2-week training. No significant changes in all the parameters except TAG (it was slightly increased) were seen in the control group. Conclusions. The two-month aerobic cycling training (within VT1, 60-min duration, three times a week) may induce significant changes in the parameters of body composition – body weight, body mass index, body fat mass, and blood lipids – in young women. The following significant changes were observed: TAG level decreased after 2 weeks, body mass and body mass index decreased after 6 weeks, body fat mass decreased and HDL-ch level increased after 8 weeks. Peak oxygen uptake increased after 4 weeks.


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