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

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Karine Moreau ◽  
Aurélie Desseix ◽  
Christine Germain ◽  
Pierre Merville ◽  
Lionel Couzi ◽  
...  

Abstract 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.

2021 ◽  
Vol 1 (2021) ◽  
pp. 3-11
Author(s):  
Subhojit Chatterjee ◽  
◽  
Usra Hasan ◽  
Subhra Chatterjee ◽  
◽  
...  

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.


2015 ◽  
Vol 114 (3) ◽  
pp. 489-496 ◽  
Author(s):  
Katy M. Horner ◽  
Nuala M. Byrne ◽  
Geoffrey J. Cleghorn ◽  
Neil A. King

Although a number of studies have examined the role of gastric emptying (GE) in obesity, the influences of habitual physical activity level, body composition and energy expenditure (EE) on GE have received very little consideration. In the present study, we compared GE in active and inactive males, and characterised relationships with body composition (fat mass and fat-free mass) and EE. A total of forty-four males (activen22, inactiven22; BMI 21–36 kg/m2; percentage of fat mass 9–42 %) were studied, with GE of a standardised (1676 kJ) pancake meal being assessed by the [13C]octanoic acid breath test, body composition by air displacement plethysmography, RMR by indirect calorimetry, and activity EE (AEE) by accelerometry. The results showed that GE was faster in active compared with inactive males (mean half-time (t1/2): active 157 (sd18) and inactive 179 (sd21) min,P< 0·001). When data from both groups were pooled, GEt1/2was associated with percentage of fat mass (r0·39,P< 0·01) and AEE (r− 0·46,P< 0·01). After controlling for habitual physical activity status, the association between AEE and GE remained, but not that for percentage of fat mass and GE. BMI and RMR were not associated with GE. In summary, faster GE is considered to be a marker of a habitually active lifestyle in males, and is associated with a higher AEE level and a lower percentage of fat mass. The possibility that GE contributes to a gross physiological regulation (or dysregulation) of food intake with physical activity level deserves further investigation.


2015 ◽  
Vol 47 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Julien Verney ◽  
Chloé Schwartz ◽  
Saliha Amiche ◽  
Bruno Pereira ◽  
David Thivel

AbstractThis study aimed at comparing BIA and DXA results in assessing body composition in young adults depending on their physical activity level. Eighty healthy 19-30 years old subjects were enrolled and their body composition (Fat Mass and Fat-Free Mass) was assessed by dual-energy X-ray absorptiometry (DXA) and by a newly developed Bioelectrical Impedance Analyzer (BIA - Tanita MC780). A seven-day physical activity level was assessed using a 3-axial accelerometer. DXA-FM% and BIA-FM% were correlated (p<0.001; r= 0.852; ICC [IC95%]: 0.84 [0.75 – 0.90]; concordance coefficient: 0.844). DXA-FFM and BIA FFM were correlated (p<0.001; r=0.976; ICC [IC95%]: 0.95 [0.93 – 0.97], concordance coefficient: 0.955). DXA and BIA measurements of FM% and FFM were highly correlated in both boys and girls regardless of the physical activity level. Compared with DXA scans, newly developed bioelectrical impedance analyzers provide satisfactory fat mass and lean mass measures in healthy young women and men, despite their physical activity level.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Till Ittermann ◽  
Marcello R. P. Markus ◽  
Martin Bahls ◽  
Stephan B. Felix ◽  
Antje Steveling ◽  
...  

AbstractPrevious 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.


2009 ◽  
Vol 6 (1) ◽  
pp. 93-98 ◽  
Author(s):  
Julia Aparecida Devide Nogueira ◽  
Teresa Helena Macedo da Costa

Background:Body weight and composition are determined by genotype, environment, and energy balance. Physical activity or sedentary behavior have different associations with body weight, fat mass, and fat-free mass, a relationship that is not clear in adolescents. The aim of this study was to test the associations between gender, physical activity, sedentary behavior, and body composition in physically active adolescents.Methods:Weight, height, and skinfold thickness were measured in 326 physically active boys and girls age 11 to 15 years. All subjects answered a questionnaire assessing their usual daily activities for the last month. Time spent on each activity was used to estimate the physical activity level (PAL).Results:PAL was associated with body composition after adjustment for age and maturation, with differences between genders. For boys, PAL was positively and significantly associated with body mass index (BMI) and fat-free mass index (β= 0.14 and 0.15, respectively). For girls, PAL was negatively and significantly associated with BMI and fat mass index (β= −0.11 and −0.75, respectively). Sedentary behavior, expressed by hours of TV, videogame, and computer use, was not associated with any body-composition outcome for either gender.Conclusion:The accumulated amount of physical activity, but not of sedentary behavior, was related to body composition in active adolescents.


2019 ◽  
Vol 82 (4) ◽  
pp. 349-355
Author(s):  
Darina Falbová ◽  
Lenka Vorobeľová ◽  
Veronika Candráková Čerňanová ◽  
Radoslav Beňuš ◽  
Daniela Siváková

Abstract This study assesses the association between angiotensin converting enzyme (ACE) I/D (rs4646994) polymorphism and body composition parameters in essential hypertension (HT) and menopausal status in Slovak women. The entire study sample comprised 575 women in two groups: 255 with HT and 320 without. Body composition parameters were measured by bioelectric impedance analyzer and ACE I/D polymorphism genotypes were detected by polymerase chain reaction. Premenopausal HT women with ACE II genotype had significantly lower body cell mass (p=0.004), extra- and intracellular water (p=0.027; p=0.004), fat free mass and muscle mass (p=0.006; P = 0.003), fat free mass index (p=0.006) and body cell mass index (p=0.003) than their ID/DD counterparts. These associations were not determined in normotensive and/or postmenopausal women. This study confirmed that ACE I/D gene polymorphism affects body composition in HT premenopausal women.


Author(s):  
Cristina Garagarza ◽  
Ana Valente ◽  
Cristina Caetano ◽  
Inês Ramos ◽  
Joana Sebastião ◽  
...  

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.


2001 ◽  
Vol 55 (8) ◽  
pp. 663-672 ◽  
Author(s):  
UG Kyle ◽  
L Genton ◽  
D Hans ◽  
L Karsegard ◽  
DO Slosman ◽  
...  

2018 ◽  
Vol 64 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Ana Paula Signori Urbano ◽  
Ligia Yukie Sassaki ◽  
Mariana de Souza Dorna ◽  
Paula Torres Presti ◽  
Maria Antonieta de Barros Leite Carvalhaes ◽  
...  

Summary Objective: The aim of our study was to assess body composition status and its association with inflammatory profile and extent of intestinal damage in ulcerative colitis patients during clinical remission. Method: This is a cross-sectional study in which body composition data (phase angle [PhA], fat mass [FM], triceps skin fold thickness [TSFt], mid-arm circumference [MAC], mid-arm muscle circumference [MAMC], adductor pollicis muscle thickness [APMt]), inflammatory profile (C-reactive protein [CRP], a1-acid glycoprotein, erythrocyte sedimentation rate [ESR]) and disease extent were recorded. Results: The mean age of the 59 patients was 48.1 years; 53.3% were women. Most patients were in clinical remission (94.9%) and 3.4% was malnourished according to body mass index. PhA was inversely correlated with inflammatory markers such as CRP (R=-0.59; p<0.001) and ESR (R=-0.46; p<0.001) and directly correlated with lean mass: MAMC (R=0.31; p=0.01) and APMt (R=0.47; p<0.001). Lean mass was inversely correlated with non-specific inflammation marker (APMt vs. ESR) and directly correlated with hemoglobin values (MAMC vs. hemoglobin). Logistic regression analysis revealed that body cell mass was associated with disease extent (OR 0.92; 95CI 0.87-0.97; p<0.01). Conclusion: PhA was inversely correlated with inflammatory markers and directly correlated with lean mass. Acute inflammatory markers were correlated with disease extent. Body cell mass was associated with disease extent.


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