Evaluation of body composition: practical guidelines

Distinct effects of type 2 diabetes and obesity on cardiopulmonary performance

AIM

Effort intolerance is frequent in patients with overweight/obesity and/or type 2 diabetes (T2D) free from cardiac and respiratory disease. We sought to quantify the independent effects of T2D and body mass index (BMI) on cardiopulmonary capacity and gain insights on the possible pathophysiology by case-control and regression analyses.

METHODS

Patients at high/moderate cardiovascular risk, with or without T2D, underwent spirometry and combined echocardiography-cardiopulmonary exercise test as part of their clinical workup. Subjects with evidence of cardiopulmonary disease were excluded. The effects of T2D and obesity were estimated by multivariable models accounting for known/potential confounders and the major pathophysiological determinants of oxygen uptake at peak exercise (VO2peak ) normalized for fat-free mass (FFM).

RESULTS

In total, 109 patients with T2D and 97 controls were included in the analysis. The two groups had similar demographic and anthropometric characteristics except for higher BMI in T2D (28.6 ± 4.6 vs. 26.3 ± 4.4 kg/m2 , p = .0003) but comparable FFM. Patients with T2D achieved lower VO2peak than controls (18.5 ± 4.4 vs. 21.7 ± 8.3 ml/min/kg, p = .0006). Subclinical cardiovascular dysfunctions were observed in T2D: concentric left ventricular remodelling, autonomic dysfunction, systolic dysfunction and reduced systolic reserve. After accounting for confounders and major determinants of VO2peakFFM , T2D still displayed reduced VO2peak by 1.0 (-1.7/-0.3) ml/min/kgFFM , p = .0089, while the effect of BMI [-0.2 (-0.3/0.1) ml/min/kgFFM , p = .06 per unit increase], was largely explained by a combination of chronotropic incompetence, reduced peripheral oxygen extraction, impaired systolic reserve and ventilatory (in)efficiency.

CONCLUSIONS

T2D is an independent negative determinant of VO2peak whose effect is additive to other pathophysiological determinants of oxygen uptake, including BMI.

Muscle Evaluation in Axial Spondyloarthritis-The Evidence for Sarcopenia

Sarcopenia is a syndrome defined as a progressive and generalized skeletal muscle disorder associated with an increased likelihood of adverse outcomes such as falls, fractures, physical disability, and death. The actual definition of sarcopenia is based on a reduction in the values of three parameters: strength, muscle mass quantity or quality, and physical performance (the determinant of severity). Muscle wasting is a common feature in several chronic diseases, such as spondyloarthritis (SpA), and significantly increases patient morbidity and mortality. Although there has been huge progress in this field over recent years, the absence of a clear definition and clear diagnostic criteria of sarcopenia has resulted in inconsistent information regarding muscle-involvement in SpA. Thus, the aim of this review is to collect relevant evidence on muscular changes occurring during the disease process from the published literature, according to the recommended tools for sarcopenia evaluation proposed by the European Working Group on Sarcopenia in Older People 2 (EWGSOP2). In addition, data from histological, electromyography, and biochemical muscle analyses of SpA patients are also reviewed. Overall, a reduction in muscle strength with a systemic decrease in lean mass seems to be associated with a gait speed compromise. This information is usually fragmented, with no studies considering the three parameters together. This paper represents a call-to-action for the design of new studies in the future.

Objective Measurements of Energy Balance Are Associated With Sleep Architecture in Healthy Adults

Study Objectives

We objectively measured body composition, energy expenditure, caloric intake, and sleep in a large, diverse sample of healthy men and women and determined how energy balance and diet associated with sleep physiology.

Methods

Healthy adults (n = 50; 21-50 years) participated in an in-laboratory study involving two baseline sleep nights (BL1-2, 10 hours time-in-bed/night, 2200-0800 hours). Polysomnography was recorded on BL2. Demographic information, body composition, and energy expenditure measurements were collected at study admittance and on BL1. Daily food/drink intake was recorded both before (on BL1) and after (on BL2) the sleep measurement. Partial Pearson's correlations assessed the relationship between energy balance and sleep physiology variables.

Results

At baseline, greater fat-free mass associated with lower total sleep time (r = -0.52, p = .030), lower sleep efficiency (r = -0.53, p = .004), and greater wake after sleep onset (r = 0.55, p = .002). Higher body fat percentage (r = 0.39, p = .038) and being overweight (Body Mass Index [BMI] 25-30; p = .026) associated with more rapid eye movement (REM) sleep. Higher protein intake (r's = 0.46-0.52; p's < .001-.002) and lower carbohydrate intake (r's = -0.31 to -0.34; p's = .027-.046) on BL1 and BL2 associated with more REM sleep. Greater fiber consumption on BL1 and BL2 associated with more slow-wave sleep (SWS; r's = 0.33-0.35; p's = .02-.03). More SWS related to increased carbohydrate intake the following day (BL2, r = 0.32, p = .037).

Conclusions

Body composition and diet were related to baseline sleep characteristics, including SWS and REM sleep duration and sleep maintenance. Future studies should further evaluate the influence of energy balance measures on sleep physiology, since dietary interventions may be useful in treating insufficient sleep, poor sleep quality, excessive sleepiness or other sleep disorders.

Body composition in patients with rheumatoid arthritis is not different than healthy subjects

OBJECTIVE

Rheumatoid arthritis (RA) is associated with an increased risk of cardiovascular disease (CVD). Increased body fat, particularly its central distribution, is a well-known risk factor for CVD. A change in body composition in RA has been described previously. However, in most of these studies, age- and sex- but not body mass index (BMI)-matched controls were used. The aim of this study was to evaluate body composition in RA patients and compare it with age-, sex-, and BMI-matched controls.

MATERIAL AND METHODS

Sixty-five RA patients (55 females and 10 males; mean age 54.9 ± 10.8) and 31 healthy controls (25 females, 6 males; 53.8±8.6) were included in this study. Mean disease duration was 9.2±9.6 years. Body composition was assessed by anthropometric methods (skinfold thicknesses, body circumferences), bioimpedance analysis, and dual-energy X-ray absorptiometry (DXA). Visceral adipose tissue (VAT) was assessed with computed tomography.

RESULTS

There were no significant differences for total body fatness, regional fat distribution, and total body water and fat-free mass between RA patients and control subjects. Bone mineral content (BMC), assessed by DXA, was significantly lower in RA patients (p=0.004). Clinical disease activity indices and steroid treatment do not affect soft tissue body composition or BMC.

CONCLUSION

At least some RA patients do not have soft tissue composition alterations and may have similar health risks in comparison with subjects with similar age, sex, and total adiposity.

Body composition in adults with newly diagnosed type 2 diabetes: effects of metformin

Background

The aim of this study was to measure the body composition in adults with newly diagnosed type 2 diabetes mellitus and to explore the effect of metformin therapy on the various components of body composition, insulin sensitivity, and glucose homeostasis.

Methods

This was an observational study consisted of 51 newly diagnosed people with type 2 diabetes on 1000 mg metformin twice daily for 6 months. The body composition of each subject was measured by dual energy X-ray absorptiometry at enrollment and 24 weeks after metformin mono-therapy. Sarcopenia was defined and compared based on the ratio of appendicular skeletal muscle and height squared, skeletal muscle index and residual methods.

Homeostasis model assessment-insulin resistance and Quantitative Insulin Sensitivity Check Index were used for estimating insulin sensitivity. The level of physical activity was assessed using self-administered International physical Activity questionnaire.

Results

Forty one subjects (80.4%) completed the study. The mean age of the participants was 52.67 ± 10.43 years. Metformin treatment was associated with a significant decrease in total fat mass (−1.6 kg, P = 0.000). By week 24, the lean to fat ratio increased (P = 0.04) with men showing greater significant changes. Twenty percent of the female participants were detected to have sarcopenia.

In addition, there was a significant improvement of glucose homeostasis and insulin sensitivity.

Conclusions

Metformin therapy results in significant improvement in body composition and insulin sensitivity of adults with newly diagnosed type 2 diabetes. Furthermore, sarcopenia begins in women with diabetes much earlier than expected as an age related phenomenon.

An Overview of the Complexities in Obesity

A recent survey, even one limited to human studies, found considerable “publication scatter” in that more than 250 different professional journals publish articles on obesity. Over the years, and particularly since the 1970s and 1980s when the so-called obesity epidemic began, there has been an explosion of clinical interest in a field that encompasses general medicine, pediatrics, surgery, psychiatry, and almost every subspecialty. And rightly so, since even by 2008, there were an estimated 1.46 billion adults worldwide who were overweight, and of these, 502 million were in the obese category, all of which translate into major public health consequences. Despite many highly publicized studies, why do we not have a greater understanding about obesity than we do? It is certainly not from a lack of trying. This article presents an overview of the limitations and challenges, that is, complexities, due to discrepant frameworks and diverse conceptualizations of obesity; potential flaws inherent in its clinical studies; and particularly, impediments due to difficulties in the measurement of body composition (and particularly adipose accumulation), food intake, and physical activity, as well as to notoriously inaccurate self-reporting by subjects. As a result, clinicians remain limited in issuing recommendations to their patients.

Comparison of Body Composition Methods During Weight Loss in Obese Women Using Herbal Formula

Bioelectrical impedance analysis (BIA), a device that analyzes the current conduction differences between the fat and water components is widely used for reasons that include convenience of use, non-invasiveness, safety, and low cost. Dual energy X-ray absorptiometry (DXA) allows for the assessment of total body and regional lean and fat tissues and bone mineral content (BMC). The objective of this study was to compare body composition assessments by BIA and DXA before and after a 6-week herbal diet intervention program in 50 pre-menopausal women [mean ± SD: age 30.58 ± 6.15, body mass index (BMI) 31.72 ± 3.78]. Waist-to-hip ratio (WHR) was measured by BIA and anthropometry. Lean body mass (LBM), body fat (BF), BMC and percent body fat (%BF) were measured by BIA and DXA. Highly significant correlations were observed between BIA and DXA measurements for LBM, BF, BMC and %BF (r = 0.73, 0.93, 0.53, 0.79, respectively) before the intervention. Differences between BIA and DXA measurements were observed in LBM, BF, %BF and BMC before intervention ( p < 0.01) where WHR by BIA was significantly higher compared to anthropometry before ( p < 0.01) and after the intervention ( p < 0.01). BIA underestimated LBM by 1.85 kg and overestimated BF by 2.54 kg compared to DXA before the intervention. Although BIA and DXA showed highly significant correlations for LBM, BF, BMC and %BF before the intervention, they did not produce statistically comparable results in pre-menopausal Korean women and therefore should not be used interchangeably when measuring body composition.

Body composition, insulin, and leptin levels in patients with ankylosing spondylitis

The aim of this study was to compare the effect of chronic inflammation on insulin resistance, serum leptin levels, and body composition (BC) in patients with ankylosing spondylitis (AS) and healthy controls. Twenty-eight AS patients and 17 healthy controls were included in this study. Subjects with hypertension, diabetes, hyperlipidemia, and obesity were excluded. Acute phase reactants and serum levels of glucose, insulin, lipids, and leptin were studied. BC was determined anthropometrically and by foot-to-foot body fat analyzer (BIA, bioelectrical impedance analysis). Quantitative insulin-sensitivity check index, homeostasis model assessment for insulin resistance, and McAuley indices were calculated. Spinal mobility was assessed by the Bath Ankylosing Spondylitis Metrology Index (BASMI). Patients were also evaluated with the Bath Ankylosing Spondylitis Functional Index and the Bath Ankylosing Spondylitis Disease Activity Index. Age, sex distribution, smoking status, serum lipids, insulin concentrations, and insulin resistance indices were comparable between AS patients and controls (p > 0.05). However, acute phase reactants were significantly higher and leptin levels were significantly lower in the AS patients than in controls (p < 0.05). Fat percent assessed by both BIA and anthropometrical methods was lower in the male and female AS patients than in controls, and this reduced fat level reached statistical significance for men (p < 0.05). There were significant correlations between percent body fat, body mass index, leptin, age, and BASMI (p < 0.05; r = 0.6, 0.75, 0.35, -0.41, respectively). On the other hand, body fat percent, waist-to-hip ratio, C-reactive protein, and BASMI were significantly correlated with serum leptin levels (p < 0.05; r = 0.75, -0.42, -0.52, -0.47, respectively). Chronic inflammatory condition in AS may be responsible for the reduced body fat content and lower circulating leptin concentrations. Insulin levels and insulin resistance indices seem similar in patients and controls in the absence of classic vascular risk factors.

Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images

Intermuscular adipose tissue (IMAT), a novel fat depot linked with metabolic abnormalities, has been measured by whole body MRI. The cross-sectional slice location with the strongest relation to total body IMAT volume has not been established. The aim was to determine the predictive value of each slice location and which slice locations provide the best estimates of whole body IMAT. MRI quantified total adipose tissue of which IMAT, defined as adipose tissue visible within the boundary of the muscle fascia, is a subcomponent. Single-slice IMAT areas were calculated for the calf, thigh, buttock, waist, shoulders, upper arm, and forearm locations in a sample of healthy adult women, African-American [n = 39; body mass index (BMI) 28.5 +/- 5.4 kg/m2; 41.8 +/- 14.8 yr], Asian (n = 21; BMI 21.6 +/- 3.2 kg/m2; 40.9 +/- 16.3 yr), and Caucasian (n = 43; BMI 25.6 +/- 5.3 kg/m2; 43.2 +/- 15.3 yr), and Caucasian men (n = 39; BMI 27.1 +/- 3.8 kg/m2; 45.2 +/- 14.6 yr) and used to estimate total IMAT groups using multiple-regression equations. Midthigh was the best, or near best, single predictor in all groups with adjusted R2 ranging from 0.49 to 0.84. Adding a second and third slice further increased R2 and reduced the error of the estimate. Menopausal status and degree of obesity did not affect the location of the best single slice. The contributions of other slice locations varied by sex and race, but additional slices improved predictions. For group studies, it may be more cost-effective to estimate IMAT based on one or more slices than to acquire and segment for each subject the numerous images necessary to quantify whole body IMAT.

Overweight and obesity: prevalence, consequences, and causes of a growing public health problem

This paper provides an overview of the evidence on the current epidemic of obesity in the United States. The prevalence of overweight and obesity now exceeds 60% among US adults, and the rate is rapidly increasing among children and adolescents. Dismal medical, social, and economic consequences are already apparent and likely to worsen without multipronged intervention. Increased rates of hypertension, diabetes, and dyslipidemia, among other medical conditions, threaten to shorten the longevity of the American populace by as much as 5 years. The incidence of depression is increasing and experts suggest this is linked with the increased prevalence of obesity. The cost of obesity-related medical care has increased astronomically since 1987, in addition to lost productivity and income. Novel multidisciplinary, preventive, and therapeutic approaches, and social changes are needed that address the complex interplay of biologic, genetic, and social factors that have created the current obesity epidemic.

Body mass index and body fatness in childhood

PURPOSE OF REVIEW

The prevalence of overweight, as assessed by a high body mass index (kg/m), has greatly increased among children and adolescents over the last three decades. Because body mass index is a measure of excess weight rather than excess body fatness, it is important to understand the ability of a high level to identify children who truly have excess adiposity. This review covers the measurement and classification of overweight and obesity, the expression of body composition data, and the relation of body mass index to adiposity.

RECENT FINDINGS

Although adiposity has typically been expressed as percentage body fat, the use of the fat mass index (fat mass/height) and the fat-free mass index (fat-free mass/height) may provide more information. For example, body mass index differences among relatively thin children have been found to largely reflect differences in fat-free mass index, whereas differences among relatively heavy children are primarily due to differences in fat mass index. In addition, the ability of overweight to identify obese children is greatly influenced by the cutpoints selected for body mass index and adiposity. The use of inappropriate cutpoints, rather than the limitations of body mass index, may account for the frequently reported finding that many obese children are not overweight.

SUMMARY

The use of fat mass index and fat-free mass index in expressing body composition data allows one to easily assess the contribution of each to body mass index. If appropriate cutpoints are used, a high body mass index level is a moderately sensitive and a very specific indicator of excess adiposity among children.