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Apr 2026 DOI 10.14302/issn.2574-450X.jom-26-6138
Indices, based on data such as height and weight in general and in particularly the body mass index (BMI), are often used to assess overweight. However, there is limited capacity to differentiate the amount of fat mass between individuals. This review refers to an anthropometric model called Dahlmann-Body-Analysis (DBA), which uses simple anthropometric parameters to define a Reference Weight (Ref-Wt). It is based on hand circumference as a proxy for the skeletal frame and, in addition, the circumference of the abdomen as a proxy for central obesity. Processed through a network of algorithms, the DBA model enabled to differentiate the Difference Weight – that means the difference between the Actual Weight and the Reference Weight – into fat mass and skeletal muscle mass. The DBA-model resembles the 2-component model of Albert R. Behnke, which he considered as a living functional construct including essential fat. The DBA-model matches with Behnke`s 2-component model insofar, as the essential fat is replaced by a physiological amount of fat tissue. The review summarizes studies to compare DBA-derived data with Metropolitan Life Insurance tables, evaluates DBA-derived fat tissue mass with bioelectrical impedance analysis (BIA) derived results and analyses the meaning of the DBA model in clinical settings to uncover the underlying mechanisms of metabolic syndrome (MetS) pathogenesis with increasing amounts of fat mass. The model offers the opportunity to calculate changes in fat or muscle tissue in an absolute (kg) or relative (%) amount on individuals. The data suggest that the DBA-model has satisfactory prediction qualities for use as a practical tool in public health care.
Sep 2025 DOI 10.14302/issn.2643-2811.jmbr-25-5688
Obesity is associated with functional limitations in muscle performance. The true effect of obesity on skeletal muscle mass, including any interactions with aging effects, remains to be elucidated. The present study investigated the impact of obesity on the stimulation of muscle growth, based on a new model of body composition. A dataset of 44 men and 64 women was analysed. Body weight (Wt), body height (Ht), hand circumference (HdC) and waist circumference (WC) were measured. Processed by the Dahlmann-Body-Analysis (DBA) system, a new model of body composition, the increase of skeletal muscle mass (ΔSMM) compared to the individual reference weight was calculated. Muscle mass data derived by the DBA model are compared with DXA-derived predictive equations of studies representing different countries and ethnicities estimating the appendicular skeletal muscle mass. Means of these groups are tested by ANOVA. Age ranged from 18 to 72 years. All subjects had a BMI ≥ 29.7 (kg/m²). The mean values of ΔSMM as an estimate of muscle mass gain calculated by the DBA-system were 11.8 ±3.6 kg for men and 8.9 ±2.6 kg for women, respectively, demonstrating a linear, significantly rising relationship with BMI (ß > 0, p<0.001). The study population did not show a decrease in muscle mass with age in either men or women up to an age of 65 years. The results suggest that the present model has satisfactory prediction qualities to detect an increase in skeletal muscle mass associated with a growing burden of body fat.
Apr 2019 DOI 10.14302/issn.2379-7835.ijn-19-2645
Introduction Brazil has undergone considerable changes in age distribution, particularly in nonagenarians. Allied to this reality, there is a series of nutritional disorders in this population segment. An important factor related to quality of life and healthy aging is good nutrition throughout life. Objective To observe the possible relationship between nutritional status and body composition in nonagenarians. Methodology This is a descriptive, cross-sectional and analytical study, with participants aged 90 years or older, evaluated using the Mini Nutritional Assessment (MNA), anthropometric parameters, and Bioimpedance. Results The sample consisted of 72 nonagenarians, averaging in age 93.7 years, most female (72%), white (82%) and widowed (64%), 19.4% were in nutritional risk, based on the MNA criteria. All anthropometric parameters presented lower averages among nonagenarians in nutritional risk. Regarding the bioimpedance parameters, in general the risk-free nonagenarians presented higher averages of weight, maximum ideal weight, minimum ideal weight, BMI, lean-mass, fat-mass, percentage of fat-mass and minimum percentage of fat-mass. Conclusions Most nonagenarians were in good nutritional status. Both anthropometric and bioimpedance parameters were effective to discriminate between normal and at nutritional risk nonagenarians. We also concluded that nutritional risk assessment in nonagenarians patients requires a joint analysis of the several existing methods for the nutritional evaluation, in order to obtain global diagnosis and accurate analysis of the nutritional status of the nonagenarians.
Sep 2016 DOI 10.14302/issn.2574-450X.jom-16-1062
Background: Obese adults with Type 2 Diabetes (T2D) have shown differences in body composition and response to varying diets when compared to obese adults without T2D. This difference in body composition affects management options for obesity. Such studies have not been done on adolescents thus far. Objectives: To estimate differences in fat mass at baseline as well as following a two-week high protein liquid diet in obese adolescents with and without T2D. Methods: Thiswas a pilot study using a non-randomized, unblinded pre/post intervention design without a control group. We planned to recruit 40 subjects (20 per group, with and without T2D) from ages 10 – 19 years, with Body mass index (BMI) ≥ 95 percentile. Body fat mass was measured via the Bod Pod® at baseline and after two weeks of following the diet with Ensure High Protein shakes. Change in fat mass is presented as mean differences and 95% confidence intervals. Results: We recruited 28 subjects, 19 completed the study and 12 were compliant with the diet. The mean difference in fat mass percent from baseline in subjects who completed the study (n=19) and without T2D was 1.4 (95% confidence interval (CI): -2.1 to -0.8) and in subjects with T2D was 1.2 (95% CI: -3.6 to 1.24). Conclusion: We did not find any meaningful difference in fat mass at baseline or after following a two-week high protein diet between the groups. High dropout rate and noncompliance with the diet were major limitations.
Jul 2016 DOI 10.14302/issn.2379-7835.ijn-16-986
Abstract: Several researchers have suggested that a targeted diet for reducing theadipose tissue may interfere with the severity of cellulite. Others emphasize that the diet composition seems to play a more relevant role than the calorie profile for weight loss and cellulite control. Objective: The aim of this study was to evaluate the influence of a controlled diet on body composition and cellulite improvement in adult women. Methods: Thirty two healthy women, aged from 25 to 40 were included. They receivedan orientation for a controlled diet to be followed for 3 months. Assessments were performed at the baseline and the end of the study which included four parameters: 1) Photonumeric cellulite severity scale; 2) Anthropometric measuremets 3) Skin elasticity (Cutometer®) and 4) Collagen density or echogenicity and length of the dermis-hypodermis interface line (ultrasonography - DermaScan®). The data was compared with the Paired T-test, Wilcoxon and Pearson's correlation for statistical analyses. Results: Only 14 completed the study. Although the scores of photonumeric scalereduced, there was no difference in the grade of cellulite severity. There were significant reductions in body measurement. The skin elasticity showed no significant change. On the other hand, the dermal density or echogenicity showed a significant increase in the right and left sides (p = 0.05 and p = 0.005, respectively); however, no difference was observed in the lenght of dermis-hypodermis line. Conclusion: the controlled diet was effective for the reduction of weight and body composition, but despite the increase in dermal collagen density, no clinical effect on cellulite could be detected.
Jun 2016
Earlier studies reported significant association of obesity, hypertension and Type2 Diabetes Mellitus (T2DM). Genetic and many disease-associated alleles have been identified through GWAS and applied to T2DM and indicated roles of renin-angiotensin system (RAS) in insulin signaling pathway and insulin resistance has been well documented. Angiotensin converting enzyme (ACE) gene catalyzes the conversion of angiotensin I to angiotensin II and also inactive the vasodilatation and hence renin-angiotensin system (RAS) in insulin signaling pathway and insulin resistance has been reported. To best of the knowledge we are reporting for the first time regarding association of ACE gene polymorphism with body composition, physiological and metabolic variables among any endogamous ethnic group (Kurmis) from of West Bengal, Eastern India. To achieve the purpose, total 197 (male 99 and female 98) randomly selected apparently healthy unrelated adult individuals of Kurmi population of Purulia District, West Bengal, India were incorporated in the present study. Anthropometric variables, physiological variables (blood pressure) and metabolic variables (PP blood sugar) have been collected using standard techniques. Extracted genomic DNA was PCR amplified and genotyped to understand ACE gene I/D polymorphism. The result demonstrated significant (p<0.05) sexual dimorphism in PBF. MAP and PP blood sugar found to be in normal range among the Kurmis. ACE gene polymorphism showed no deletion of the Kurmis and hence, only the prevalence of ACE II (insertion-Insertion) genotype has been noticed. The present study vindicated on the basis of body composition in terms of fat patterning, physiological and metabolic variables and ACE gene polymorphism that there is very low or no risk of T2DM among the Kurmis of West Bengal, India.