New techniques in nutritional assessment: body composition methods

Characteristics of Multicomponent Interventions to Treat Childhood Overweight and Obesity in Extremely Cold Climates: A Systematic Review of a Randomized Controlled Trial

AIM

To analyze the characteristics of multicomponent interventions to reduce childhood overweight and obesity in territories with an extremely cold climate.

METHODS

A systematic review was conducted following the PRISMA statement. MEDLINE, PsycNet, SciELO, and grey literature databases were reviewed in the period between 2010 and 2020.

RESULTS

29 articles were included (n = 4434 participants; 9.3 years; 56% women) with an average adherence of 86%, 100% being the highest adherence, for the physical activity and nutrition interventions. The primary variables studied were BMI, BMI Z-score BMI-SDS and, additionally, the secondary variables studied were nutritional status and physical and mental health. In 72% of the interventions presented, positive effects were seen on the reduction of BMI, including in parents and their children. The interventions were carried out mainly by nutritionists in health centers. The duration of the 29 interventions was ≤6 months and ≥12 months, in 59% and 41% of the studies, respectively. 57% of the studies reported post-intervention results. 86% of the interventions included a physical activity component, 80% included a nutrition component, 66% included a behavioral therapy component and 55% included an education component. Concerning the effects of the intervention on the primary outcome, in interventions with a duration equal to or less than six months, the most effective interventions included recreational activities, education, and nutritional programs. In interventions lasting 12 months or more, the most effective interventions included physical activity recommendations, nutritional and physical exercise programs, and cooking classes.

CONCLUSIONS

This systematic review analyzed the effectiveness of, and characterized, multicomponent interventions lasting for 6 and 12 months, aiming to treat childhood obesity in extremely cold climates. The most frequently used units of measurement were also analyzed and summarized. Evidence derived from RCT. These results can be useful for designing future interventions to treat childhood obesity in territories with an extremely cold climate.

Body composition during early infancy and its relation with body composition at 4 years of age in Jimma, an Ethiopian prospective cohort study

BACKGROUND/OBJECTIVES

Low and high birth weight and rapid weight gain during infancy are associated with childhood obesity. Associations of birth and infancy body composition (BC) growth with childhood BC remain unknown in low-income countries. We aimed to investigate the associations of fat mass (FM) and fat-free mass (FFM) at birth and its accretion during early infancy with FM and FFM at the age of 4 years.

METHODS

In the infant Anthropometry and Body Composition (iABC) cohort, BC was assessed at six consecutive time points from birth to 6 months and at 4 years of age by air displacement plethysmography. Multiple linear regression models were used to determine the association between FM and FFM at birth and their accretion rates during infancy and FM index (FMI) and FFM index (FFMI) at 4 years in 314 children.

RESULTS

One kilogram higher FFM at birth was associated with a 1.07 kg/m2 higher FFMI (95% CI 0.60, 1.55) at 4 years while a one SD increment in FFM accretion rate from 0 to 6 months was associated with a 0.24 kg/m2 increment in FFMI (95% CI 0.11, 0.36) and with a 0.20 kg/m2 higher FMI at 4 years (β = 0.20; 95% CI 0.04, 0.37). FFM at birth did not predict FMI at 4 years. FM at birth was associated with 1.17 kg/m2 higher FMI at 4 years (95% CI 0.13, 2.22) whereas FM accretion from 0 to 4 months was associated with an increase in FMI of 0.30 kg/m2 (95% CI 0.12, 0.47). FM at birth did not predict FFMI at 4 years, and neither did FM accretion from 0 to 4 months.

CONCLUSIONS

A higher FFM in early infancy predicted higher FFMI at 4 years while a higher FM accretion during early infancy predicted higher FMI at 4 years. Follow-up studies are merited to explore associations of childhood BC with cardio-metabolic risk later in life.

Modulation of nutritional state in Parkinsonian patients with bilateral subthalamic nucleus stimulation

Chronic bilateral subthalamic stimulation (DBS-STN) provides considerable clinical benefits in Parkinson disease patients, with improvement in primary symptoms and resolution of side effects of chronic pharmacological treatment. Apart from its therapeutic effects on PD symptoms, DBS-STN also appears to induce weight gain, which may itself induce critical metabolic disorders and limit the benefits of surgery. No data are available in literature showing the efficacy of a nutritional intervention to prevent rapid and/or excessive weight gain after DBSSTN. Fifty-seven PD patients were included in this study and were divided into two groups: Group 1 comprised 16 patients with a nutritional intervention immediately after surgery (1 week after); Group 2 comprised 41 patients with a nutritional intervention in a later period after surgery (mean time of 2.5 ± 1.6 years). Weight, body mass index (BMI), percentage of fat mass, levodopa daily dose (LDD) and part III of the Unified Parkinson's disease rating scale (UPDRS) were studied before and after an individualized and structured nutritional intervention. Three months after nutritional intervention, Group 1 had a mean BMI (24.1 ± 2.99), that was not significantly different (p = 0.114) from BMI before intervention, with stability of the weight and in percentage of fat mass. In Group 2 all the patients gained weight, reaching to 13.17 ± 10%; a total of 63% of patients became overweight (BMI 25 kg/m(2)). Three months after nutritional intervention, Group 2 had a mean BMI (24.80 ± 2.45) that was significantly (p = 0.03) different from BMI before intervention (26.75 ± 2.99), although percentage of fat mass was higher in women. With this study, we have conclude that nutritional intervention adequate to patient-age, disease characteristics, medical therapy with L-dopa and physical activity, is effective incontrolling weight after DBS-STN surgery.

Is serum albumin a marker of malnutrition in chronic disease? The scleroderma paradigm

BACKGROUND

Malnutrition is common in many chronic diseases, but physicians may rely on a low albumin value before deciding that malnutrition is present.

OBJECTIVE

To determine the relationship between serum albumin and malnutrition in systemic sclerosis (SSc) as a paradigm for other chronic diseases.

DESIGN

Cross-sectional, multicenter study of patients from the Canadian Scleroderma Research Group Registry. We used the Malnutrition Universal Screening Tool (MUST) to evaluate patients for malnutrition. Disease extent was measured in several ways, including physician global assessment. Multiple linear regression was performed to identify independent predictors of serum albumin.

RESULTS

Two hundred fifty-eight patients were studied. The mean (SD) serum albumin level was 44.4 (4.2) g/L. Only 2% of the values were below normal and all these patients were in MUST category > or =2, or high risk for malnutrition, which included 21.3% of the cohort. MUST, shorter disease duration, greater disease severity (physician global assessment of disease severity and modified Rodnan skin score), and greater disease activity (physician global assessment of disease activity, C-reactive protein, and Scleroderma Disease Activity Index) all correlated significantly but weakly with albumin. Multivariate analysis demonstrated that a higher MUST score and worse disease severity were independently associated with lower serum albumin, but only 7% of the variance of albumin was explained in the adjusted model.

CONCLUSIONS

Serum albumin is not useful as a marker for malnutrition in SSc and should not be assumed to be useful as a marker in other chronic diseases. More attention should be paid to clinical features of malnutrition, including assessment of body mass index and unplanned weight loss, and overall disease severity.

Malnutrition is common in systemic sclerosis: results from the Canadian scleroderma research group database

OBJECTIVE

Systemic sclerosis (SSc) is a multisystem disease associated with significant morbidity and increased mortality. Little is known about nutritional status in SSc. We investigated the prevalence and demographic and clinical correlates of nutritional status in a large cohort of patients with SSc.

METHODS

This was a cross-sectional multicenter study of patients (n = 586) from the Canadian Scleroderma Research Group Registry. Patients were assessed with detailed clinical histories, medical examinations, and self-administered questionnaires. The primary outcome was risk for malnutrition using the "malnutrition universal screening tool" (MUST). Multiple logistic regression was used to assess the relationship between selected demographic and clinical variables and MUST categories.

RESULTS

Of the 586 patients in the study, MUST scores revealed that almost 18% were at high risk for malnutrition. The significant correlates of high malnutrition risk included the number of gastrointestinal (GI) complaints, disease duration, diffuse disease, physician global assessment of disease severity, hemoglobin, oral aperture, abdominal distension on physical examination, and physician-assessed possible malabsorption. Among 14 GI symptoms, only poor appetite and lack of a history of abdominal swelling and bloating predict MUST. These factors accounted for 24% of the variance in MUST scores.

CONCLUSION

The risk for malnutrition in SSc is moderate and is associated with shorter disease duration, markers of GI involvement, and disease severity. Patients with SSc should be screened for malnutrition, and potential underlying causes assessed and treated when possible.

Distinct impaired regulation of SOCS3 and long and short isoforms of the leptin receptor in visceral and subcutaneous fat of lean and obese women

Animal studies have illustrated the importance of the expression in adipose tissue of the leptin receptor (OB-R), and of SOCS3 an inhibitor of the leptin signaling pathway, in body weight regulation. The aim of the present study was to investigate in human adipose tissues of the same patients the OB-R isoforms and SOCS3 expression. Subcutaneous and omental adipose tissues were obtained from 6 lean and 18 morbidly obese women. The long isoform OB-Rb mRNA mediating leptin signaling, and SOCS3 mRNA are abundantly present in the subcutaneous fat of lean women, but are 90% and 70% decreased (P<0.0001) in obese women. In visceral fat from lean and obese women, both OB-Rb and SOCS3 mRNA are detected at very low levels. Subcutaneous/visceral ratios for OB-Ra the short OB-R isoform, OB-Rb, and SOCS3 mRNA abundance strongly correlate with the insulin sensitivity index, HOMA-% S, (r=0.49, P<0.0001, r=0.42, P=0.0002 and r=0.38, P=0.0002, respectively) in both lean and obese patients without type 2 diabetes. The near absence of OB-Rb mRNA and the similarly decreased SOCS3 expression in obese adipose tissue may reflect a defective leptin signaling pathway that could play a role in the impairment of insulin sensitivity associated with excess adiposity.

Fat and Hydration Monitoring by Abdominal Bioimpedance Analysis: Data Interpretation by Hierarchical Electrical Modeling

In a previous publication, it was demonstrated that the abdominal subcutaneous fat layer thickness (SFL) is strongly correlated with the abdominal electrical impedance when measured with a transversal tetrapolar electrode arrangement. This article addresses the following questions: 1) To which extent do different abdominal compartments contribute to the impedance? 2) How does the hydration state of tissues affect the data? 3) Can hydration and fat content be assessed independently? For simulating the measured data a hierarchical electrical model was built. The abdomen was subdivided into three compartments (subcutaneous fat, muscle, mesentery). The true anatomical structure of the compartment boundaries was modeled using finite-element modeling (FEM). Each compartment is described by an electrical tissue model parameterized in physiological terms. Assuming the same percent change of the fat fraction in the mesentery and the SFL the model predicts a change of 1,24 omega/mm change of the SFL compared to 1,1 omega/mm measured. 42% of the change stem from the SFL, 56% from the mesentery and 2% from changes of fat within the muscle compartment. A 1% increase of the extracellular water in the muscle is not discernible from a 1% decrease of the SFL. The measured data reflect not only the SFL but also the visceral fat. The tetrapolar electrode arrangement allows the measurement of the abdominal fat content only if the hydration remains constant.

Validation of different bioimpedance analyzers for predicting cell mass against whole-body counting of potassium (40K) as a reference method

This study compared two different tetrapolar bioimpedance (BIA) devices for estimating body cell mass (BCM), validated them against whole-body counting of (40)K (TBK method), and developed improved prediction equations for estimating BCM from BIA. In 50 healthy volunteers (age 23-65 years, BMI 18.6-27.7 kg/m(2)), BCM was estimated with the BIA devices Nutriguard-M (Data Input, Germany) and Soft-Tissue-Analyzer-STA (Akern, Italy) and by the TBK method. Methods were compared by the Bland-Altman procedure. New prediction equations for BCM were developed by multiple stepwise regression analysis based on a single BIA parallel model. The Akern device gives similar mean estimates of BCM compared to the Data Input device in males (33.5 vs. 33.3 kg, P = 0.789), but higher values in females (24.6 vs. 22.8 kg; P < 0.001). Both BIA devices overestimate mean BCM relative to the TBK method; in males by 5.0 kg (Data Input, P < 0.001) and 5.1 kg (Akern, P < 0.001); in females by 2.3 kg (Data Input, P < 0.001) and 4.1 kg (Akern, P < 0.001). Limits of agreement between BIA and TBK methods are for males +/-4.99 kg (Data Input) and +/-7.16 kg (Akern); for females, +/-4.69 kg (Data Input) and +/-4.12 kg (Akern). New equations were developed for estimating BCM for both BIA analyzers (Data Input, R(2) = 0.91, SEE = 1.46 kg; Akern, R(2) = 0.90, SEE = 1.48 kg). Since estimates of BCM by the present BIA devices do not differ in males, they might be interchangeable. This does not hold true for females. Because both BIA devices overestimate BCM, the newly developed device-specific equations which reduce bias and limits of agreement should be applied.

Changes in body water distribution during treatment with inhaled steroid in pre-school children

PRIMARY OBJECTIVE

The study aimed to examine the changes in water distribution in the soft tissue during systemic steroid activity.

RESEARCH DESIGN

A three-way cross-over, randomized, placebo-controlled, double-blind trial was used, including 4 weeks of fluticasone propionate pMDI 200 microg b.i.d. delivered via Babyhaler, budesonide pressurized metered dose inhaler (pMDI) 200 microg b.i.d. delivered via Nebuchamber and placebo. Spacers were primed before use. In total, 40 children aged 1-3 years, with mild intermittent asthma were included. Twenty-five of the children completed all three treatments. At the end of each treatment period body impedance and skin ultrasonography were measured.

METHODS AND PROCEDURES

We measured changes in water content of the soft tissues by two methods. Skin ultrasonography was used to detect small changes in dermal water content, and bioelectrical impedance was used to assess body water content and distribution.

MAIN OUTCOMES AND RESULTS

We found an increase in skin density of the shin from fluticasone as measured by ultrasonography (p = 0.01). There was a tendency for a consistent elevation of impedance parameters from active treatments compared to placebo although overall this effect was not statistically significant (0.1 < p < 0.2). However, sub-analyses indicated a significant effect on whole-body and leg impedance from budesonide treatment (p < 0.05).

CONCLUSION

Decreased growth during inhaled steroid treatment seems to partly reflect generalized changes in body water.

Estimating total body water in children on the basis of height and weight: a reevaluation of the formulas of Mellits and Cheek

An estimate of total body water (TBW) has important implications in clinical practice. For patients on peritoneal dialysis (PD), the estimate is critical when determining the delivered dialysis dose. The formulas of Mellits and Cheek have been recommended to estimate TBW in children on PD. These formulas were derived from healthy children, and very few infants were included. To assess the accuracy of these formulas, the original data were obtained and additional data from a broad literature review were compiled. The majority of the new data points were in the infant age range. Data were fitted using least-squares methodology and backward elimination to obtain a parsimonious model. Best fits were obtained using age, gender, and weight or a height x weight term. The results of the curves are as follows: Infants 0 to 3 mo (n= 71): TBW = 0.887 x (Wt)(0.83) Children 3 mo to 13 yr(n = 167): TBW = 0.0846 x 0.95([if female]) x (Ht xWt)(0.65) Children > 13 yr (n = 99): TBW = 0.0758 x 0.84([if female]) x (Ht x Wt)(0.69) When compared with the previous Mellits and Cheek formulas, the new formula fits better for infants (comparison of prediction errors, P < 0.0004). These newer formulas do not perform significantly better for the older two groups. Actual TBW measurement in children on PD must still be determined to verify the use of these formulas and to accurately assess dialysis delivery and adequacy.

Involvement of leptin in the association between percentage of body fat and cardiovascular risk factors

OBJECTIVES

Recent epidemiologic studies have shown that obesity is associated with elevated blood concentrations of prothrombotic-proinflammatory factors and markers of endothelial dysfunction such as fibrinogen, C-reactive protein (CRP), von Willebrand factor (vWF), and homocysteine. We have assessed whether these markers are associated with percentage of body fat (BF), insulin sensitivity as well as with leptin concentrations.

DESIGN AND METHODS

Twenty-five men aged 49.6 +/- 12.7 yr (mean +/- SD) underwent whole-body air displacement plethysmography (Bod-Pod(R)) for estimating BF. Blood analyses for leptin and several other metabolic and cardiovascular markers were carried out.

RESULTS

Obese subjects had higher levels as compared to controls of BF (37.5 +/- 5.1 vs. 26.0 +/- 6.6, p < 0.01), fibrinogen (3.30 +/- 0.43 vs. 2.67 +/- 0.11, p < 0.01), vWF (136.4 +/- 50.4% vs. 81.6 +/- 12.6%, p < 0.05), and leptin (17.6 +/- 8.7 vs. 6.2 +/- 3.3, p < 0.01), lower concentrations of HDL-cholesterol (1.09 +/- 0.20 vs. 1.51 +/- 0.10, p < 0.001) and lower QUICKI (1/[log(Ins(0)) + log(Glu(0))]) (0.31 +/- 0.03 vs. 0.34 +/- 0.02, p < 0.05). No significant changes were observed in CRP (5.7 +/- 3.4 vs. 3.8 +/- 1.6, p = 0.327) and homocysteine (9.4 +/- 4.2 vs. 8.3 +/- 0.9, p = 0.749). A positive correlation was observed between BF and fibrinogen (r = 0.67, p = 0.0003). Plasma leptin concentrations were correlated with fibrinogen (r = 0.71, p = 0.0001) and CRP (r = 0.43, p = 0.044). After adjustment for BF leptin emerged as a significant predictor of fibrinogen (beta = 0.47, p = 0.023; R(2) = 0.59, p < 0.001). QUICKI was positively correlated with HDL-cholesterol (r = 0.59, p = 0.010) and negatively with fibrinogen (r = -0.53, p = 0.025), CRP (r = -0.52, p = 0.028) and vWF (r = -0.56, p = 0.013).

CONCLUSIONS

Increased BF and impaired insulin sensitivity are associated with increased concentrations of cardiovascular risk factors. Leptin seems to be involved in this elevation and emerges as a predictor of circulating fibrinogen concentrations.

Comparison of percent body fat estimates using air displacement plethysmography and hydrodensitometry in adults and children

PURPOSE

The purpose of the study was to compare estimates of body density and percentage body fat from air displacement plethysmography (ADP) to those from hydrodensitometry (HD) in adults and children and to provide a review of similar recent studies.

METHODS

Body density and percentage body fat (% BF) were assessed by ADP and HD on the same day in 87 adults aged 18-69 y (41 males and 46 females) and 39 children aged 8-17 y (19 males and 20 females). Differences between measured and predicted thoracic gas volumes determined during the ADP procedure and the resultant effects of those differences on body composition estimates were also compared. In a subset of 50 individuals (31 adults and 19 children), reliability of ADP was measured and the relative ease or difficulty of ADP and HD were probed with a questionnaire.

RESULTS

The coefficient of reliability between %BF on day 1 and day 2 was 96.4 in adults and 90.1 in children, and the technical error of measurement of 1.6% in adults and 1.8% in children. Using a predicted rather than a measured thoracic gas volume did not significantly affect percentage body fat estimates in adults, but resulted in overestimates of percentage body fat in children. Mean percentage body fat from ADP was higher than percentage body fat from HD, although this was statistically significant only in adults (29.3 vs 27.7%, P<0.05). The 95% confidence interval of the between-method differences for all subjects was -7 to +9% body fat, and the root mean square error (r.m.s.e.) was approximately 4% body fat. In the subset of individuals who were asked to compare the two methods, 46 out of 50 (92%) indicated that they preferred the ADP to HD.

CONCLUSION

ADP is a reliable method of measuring body composition that subjects found preferable to underwater weighing. However, as shown here and in most other studies, there are differences in percentage body fat estimates assessed by the two methods, perhaps related to body size, age or other factors, that are sufficient to preclude ADP from being used interchangeably with underwater weighing on an individual basis.

Assessing abdominal fatness with local bioimpedance analysis: basics and experimental findings

OBJECTIVE

Abdominal fat is of major importance in terms of body fat distribution but is poorly reflected in conventional body impedance measurements. We developed a new technique for assessing the abdominal subcutaneous fat layer thickness (SFL) with single-frequency determination of the electrical impedance across the waist (SAI).

SUBJECTS AND MEASUREMENTS

The method uses a tetrapolar arrangement of surface electrodes which are placed symmetrically to the umbilicus in a plane perpendicular to the body axis. Twenty-four test subjects (12 male, 12 female) underwent SAI and abdominal magnetic resonance imaging (MRI). The SFL below the sensing electrodes was determined from MRI and correlated with the SAI data at four different frequencies (5, 20, 50 and 204 kHz).

RESULTS

A highly significant linear correlation (r2=0.99) between SFL and SAI over a wide range of the abdominal SFL was found. Separate regression models for female and male subjects did not differ significantly, except at 50 kHz.

CONCLUSION

SAI represents a good predictor of the SFL and provides an excellent tool for the assessment of central obesity.

Assessment of body composition by bioelectrical impedance analysis without the need for measurement of height

Conventional whole-body single frequency bioelectrical impedance analysis (BIA) of body composition typically uses height as a surrogate measure of conductor length. A new method of BIA analysis for the prediction of body cell mass (BCM) and extracellular water (ECW, as % body weight) not using height has been introduced-the Soft Tissue Analyser (STA(TM), Akern Sri, Florence, Italy)-making it ideal for use in subjects where measurement of height is difficult or impossible. The performance of the new analytical method in predicting BCM and ECW in 139 normal control subjects was assessed by comparison with reference data obtained from a four-component (4-C) model of body composition and with predictions obtained from conventional BIA analysis. Both predicted BCM and ECW were strongly (r=0.82, SEE=6.3 kg and 0.89, SEE=1.3 kg respectively) correlated with the corresponding 4-C model measurements although differing significantly from the lines of identity (P<0.0001). Fat-free mass, calculated from STA estimates of BCM and ECW, was better predicted (r=0.91, SEE=5.6 kg). The significant differences in STA-group mean values for BCM and ECW and wide limits of agreement compared with the reference data indicate that the method cannot be used with confidence for prediction of these body compartments despite the obvious advantage of not requiring an accurate measurement of height.