Changes in body composition depending on the rs1801282 PPARG polymorphism in patients with different variants of treatment of early carbohydrate metabolism disorders

Objective: To study the effect of the rs1801282 PPARG polymorphism on changes in the body composition of patients with early carbohydrate metabolism disorders in groups with different variants of treatment.Materials and Methods: The study involved 64 patients (8 men and 56 women) with early carbohydrate metabolism disorders. At baseline, all patients underwent genotyping for the rs1801282 PPARG polymorphism and body composition determination with bioelectrical impedance analysis (BIA). Then, the patients were divided into two groups depending on the type of therapy. The patients from Group 1 (40 subjects, mean age 45.2±15.4 years) kept a generally accepted diet with the exclusion of simple carbohydrates and limitation of complex carbohydrates and fats. The patients from Group 2 (24 subjects, mean age 51.2±14.5 years) took metformin in addition to the diet therapy. The effects of different types of treatment on body composition changes were assessed with follow-up BIA 3 months after the start of treatment.Results: Carriers of the mutant G allele of rs1801282 PPARG in the metformin and diet therapy group showed a significant increase in the content of body cell mass (1.28±0.51% vs 0.36±0.37%; P = 0.021) compared with CC homozygotes in the absence of differences in body weight changes (P > 0.05).Conclusions: The presence of the mutant allele G of rs1801282 PPARG promotes the increase in body cell mass in case of adding metformin to the diet therapy in patients with early carbohydrate metabolism disorders.

Body Composition Results of Caucasian Young Normal Body Mass Women in the Follicular Proliferative Phase, Measured for the Different Positions of Limbs

The bioelectrical impedance analysis (BIA) became a standardized technique for assessing body composition, but many factors affect the reproducibility of measurement, including body and limbs position. In spite of the fact that it is recommended for patient to be in a supine position, with arms abducted at least 30° and legs abducted at approximately 45°, a lot of authors conduct their measurements with arms and legs of patients separated to not touch the body but not strictly following the recommendations. Taking this into account, the aim of the study was to analyze the body composition results of Caucasian young normal body mass women in the follicular proliferative phase, measured for the different positions of limbs in order to compare the results obtained in the recommended position (with arms abducted at least 30° and legs abducted at approximately 45°) and in the commonly used position (not following strictly the recommendations). The study was conducted in a homogenous group of 100 adult females under the age of 30 years using BIA 101/ASE with the Bodygram Pro software and its equations by Akern Srl, Firenze, Italy, based on the measurement recommendations. The measurements were conducted (1) in a recommended position of arms abducted at least 30° and legs abducted at approximately 45° and (2) with arms spread and legs separated to not touch the body to compare the body composition assessment (fat mass, fat-free mass, body cell mass, muscle mass, water content, extracellular water content, and intracellular water content). It was stated that the results obtained for various positions of limbs were positively correlated (p < 0.0001; R > 0.5). At the same time, the statistically significant differences dependent on the position were observed for the calculated results of body cell mass (lower results for the recommended position for the results observed in kg and % of body mass; p = 0.0165 and p = 0.0075, respectively) and muscle mass (lower results for the recommended position for the results observed in kg and % of body mass; p = 0.0025 and p = 0.0011, respectively), as well as extracellular and intracellular water (higher % of total body water for the extracellular water and lower for intracellular water; p = 0.0049 and p = 0.0115, respectively), resulting from the measured resistance and reactance values. For all listed comparisons of significantly differing variables, weighted κ statistics indicated moderate agreement (values of 0.41–0.60), and the Bland–Altman plot analysis indicated no agreement (Bland–Altman index of >5%). While compared with the reference values, the major differences were observed for extracellular/intracellular water content, as, while applying a method with arms and legs separated to not touch the body (not recommended position), the extracellular water content was underestimated for 31% and intracellular water content was overestimated for 28% of participants. It may be concluded that the recommended body position of arms abducted at least 30° and legs abducted at approximately 45° should be chosen to ensure the reliability of the BIA measurements, as, while the recommendations of a body position are not followed, the results obtained may be misleading and may not reflect the actual body composition.

COMPARATIVE PHYSIOLOGICAL AND BODY COMPOSITION PARAMETERS IN TEAM SPORTS AND SPRINT TRAINED INDIAN ATHLETES

Introduction: Physiological and body composition variables have important role for assessment of training status and evaluation of health status of athletes. Regular monitoring of these variables during training may provide valuable information to coaches for training and selection of players’ training protocol participating in both team sports and individual events. Purpose and objectives of the study: The aims of this study were to compare physiological and body composition variables between male athletes participating in team sports (football) and individual sprint event and also to correlate training duration (both in years and hours per week) of male athletes participating in both team sports as well as sprint with physiological and body composition variables. Applied Methodology: The study was carried out with thirty-year-old (n=30) and BMI matching male Indian athletes participating in team sports (football, n=16) and individual sprint event (n=14), having minimum 2 years of official training. They were in post competitive phase during the test. Several physiological and body composition variables were assessed such as height, weight, body mass index, training age (years), training time (hours/week), fat mass, fat-free mass, body cell mass, muscle mass, VO2 max, maximal power, training intensity and fatigue index following standard protocol. Achieved major results: The sprinters were found to possess significantly more fat free mass (p < .01), body cell mass (p < .01), muscle mass (p < .01), less fat mass (p < .05) and more average anaerobic power (p < .01) than their peers - football players. However, no significant correlation was found between any of the measured physiological and body composition parameters and the training status of these players. Conclusion: This study would provide useful information for assigning training protocols to the athletes participating in team sports and individual sprint events on the basis of physiological and body composition parameters.

Low serum TSH levels are associated with low values of fat-free mass and body cell mass in the elderly

Previous studies on the association between thyroid function and body composition are conflicting and showed strong differences across age groups. Our aim was to clarify age-specific associations of serum thyroid-stimulating hormone (TSH) levels with markers of body composition including body mass index (BMI), waist circumference, fat mass (FM), fat-free mass (FFM) and body cell mass (BCM). We used data from two independent population-based cohorts within the framework of the Study of Health in Pomerania. The study population included 5656 individuals aged 20 to 90 years. Markers of body composition were measured by bioelectrical impedance analysis. Serum TSH levels were significantly positively associated with BMI (β = 0.16; 95% confidence interval [CI]: 0.06 to 0.27), waist circumference (β = 0.35; 95% CI: 0.08 to 0.62) and FM (β = 0.32; 95% CI: 0.12 to 0.52), but not with FFM and BCM. Interaction analysis revealed positive associations of serum TSH levels with BMI, waist circumference, FM, FFM and BCM in individuals older than 60 years, while no such associations were observed in younger individuals. We demonstrated that lower serum TSH levels were accompanied with lower values of BMI, waist circumference, FM, FFM, and BCM in the elderly, while no such associations were observed in younger individuals.

Evolution of body composition following successful kidney transplantation is strongly influenced by physical activity: results of the CORPOS study

Background Weight gain (mainly gain of fat mass) occurs quickly after successful kidney transplantation and is associated with metabolic complications (alterations of glycaemic control, hyperlipidaemia). Determinants of weight gain are multifactorial and are mainly related to the transplant procedure itself (glucocorticoid use, increased appetite). In the modern era of transplantation, one challenge is to limit these metabolic alterations by promoting gain of muscle mass rather than fat mass. This prospective study was performed to assess determinants of fat mass, fat-free mass and body cell mass changes after kidney transplantation with a focus on physical activity and nutritional behaviour before and after transplantation. Methods Patients were included at the time of listing for deceased donor kidney transplantation. Body composition was determined using dual X-ray absorptiometry and bioimpedance spectroscopy to assess fat mass, fat-free mass and body cell mass (= fat-free mass − extracellular water) at the time of inclusion, 12 months later, and 1, 6, 12 and 24 months after transplantation. Recall dietary data and physical activity level were also collected. Results Eighty patients were included between 2007 and 2010. Sixty-five had a complete 24-month follow-up after kidney transplantation. Fat mass, fat-free mass and body cell mass decreased during the waiting period and early after kidney transplantation. The nadirs of body cell mass and fat-free mass occurred at 1 month and the nadir for fat mass occurred at 6 months. Maximum levels of all parameters of body composition were seen at 12 months, after which body cell mass and fat-free mass decreased, while fat mass remained stable. In multivariate analysis, male recipients, higher physical activity level and lower corticosteroid dose were significantly associated with better body cell mass recovery after kidney transplantation. Conclusions Lifestyle factors, such as physical activity level, together with low dose of corticosteroids seem to influence body composition evolution following kidney transplantation with recovery of body cell mass. Specific strategies to promote physical activity in kidney transplant recipients should be provided before and after kidney transplantation.

Dietary Intake, Body Composition, and Clinical Parameters: Associations Between the Level and Type of Physical Activity in Hemodialysis Patients

Background: Physical inactivity and muscle wasting potentiate each other and are highly prevalent among hemodialysis (HD) patients. The authors evaluated the association between physical activity (PA), clinical, nutritional, and body composition parameters in HD patients. Methods: Multicenter cross-sectional study with 581 HD patients. Clinical, body composition, dietary intake, and PA data were recorded. For the analysis, patients were divided into active (follow World Health Organization recommendations) and inactive groups. Results: A total of 20% of the patients followed World Health Organization recommendations on PA. Differences between physically active and physically inactive patients were observed in age, biochemical parameters and total body water, intracellular water, lean tissue index (LTI), body cell mass, energy, and protein intake. PA was a predictor of higher LTI, body cell mass, and energy intake independently of age, gender, presence of diabetes, dialysis adequacy, and dialysis vintage. Controlling for the effect of age, walking and vigorous PA were positively correlated with energy and protein intake. Vigorous PA was also positively correlated with LTI. Conclusion: The PA is a predictor of higher LTI, body cell mass, and energy intake. Vigorous PA is associated with an improved body composition and dietary pattern, whereas walking seems to be also associated with a favorable nutritional status.