Cocoa-rich chocolate and body composition in postmenopausal women: a randomised clinical trial

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Irene A. Garcia-Yu ◽  
Luis Garcia-Ortiz ◽  
Manuel A. Gomez-Marcos ◽  
Emiliano Rodriguez-Sanchez ◽  
Cristina Lugones-Sanchez ◽  
...  
Keyword(s):  
Body Composition ◽  
Postmenopausal Women ◽  
Body Fat ◽  
Fat Mass ◽  
The Body ◽  
Control Group ◽  
Body Fat Percentage ◽  
Body Fat Mass ◽  
Fat Percentage ◽  
Habitual Diet

Abstract During menopause, women undergo a series of physiological changes that include a redistribution of fat tissue. This study was designed to investigate the effect of adding 10 g of cocoa-rich chocolate to the habitual diet of postmenopausal women daily on body composition. We conducted a 6-month, two-arm randomised, controlled trial. Postmenopausal women (57·2 (sd 3·6) years, n 132) were recruited in primary care clinics. Participants in the control group (CG) did not receive any intervention. Those of the intervention group (IG) received 10 g daily of 99 % cocoa chocolate in addition to their habitual diet for 6 months. This quantity comprises 247 kJ (59 kcal) and 65·4 mg of polyphenols. The primary outcomes were the between-group differences in body composition variables, measured by impendancemetry at the end of the study. The main effect of the intervention showed a favourable reduction in the IG with respect to the CG in body fat mass (–0·63 kg (95 % CI –1·15, –0·11), P = 0·019; Cohen’s d = –0·450) and body fat percentage (–0·79 % (95 % CI –1·31, –0·26), P = 0·004; Cohen’s d = –0·539). A non-significant decrease was also observed in BMI (–0·20 kg/m2 (95 % CI –0·44, 0·03), P = 0·092; Cohen’s d = –0·345). Both the body fat mass and the body fat percentage showed a decrease in the IG for the three body segments analysed (trunk, arms and legs). Daily addition of 10 g of cocoa-rich chocolate to the habitual diet of postmenopausal women reduces their body fat mass and body fat percentage without modifying their weight.

scholarly journals Effects of Taekwondo Training on Body Composition: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 18 (21) ◽  
pp. 11550
Author(s):  
Seunghui Baek ◽  
Jong-Beom Park ◽  
Sang-Hwan Choi ◽  
Jae-Don Lee ◽  
Sang-Seok Nam
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Meta Analysis ◽  
Control Group ◽  
Body Fat Percentage ◽  
Body Fat Mass ◽  
Age Group ◽  
Inclusion Criteria ◽  
Fat Percentage ◽  
Positive Effect

Background: The purpose of this study is to investigate the effect of Taekwondo training on body composition and to evaluate the magnitude of the effect. Methods: Databases were used to select studies related to the effectiveness of Taekwondo training, and the inclusion criteria were as follows. Results: Thirty-seven studies were selected. We found statistically significant differences from the control group in weight, body mass index (BMI), waist circumference (WC), waist–hip ratio (WHR), body fat mass, body fat percentage, lean mass, and muscle mass. Also, the age group was statistically significant in control variables on weight, BMI, and body fat percentage. Conclusions: Taekwondo training had a positive effect on body composition, and these results suggest that Taekwondo training is an effective exercise method to lower obesity.

scholarly journals Assessment of the Body Composition and Parameters of the Cardiovascular Risk in Juvenile Idiopathic Arthritis

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ewa Jednacz ◽  
Lidia Rutkowska-Sak
Keyword(s):  
Body Composition ◽  
Juvenile Idiopathic Arthritis ◽  
Cardiovascular Risk ◽  
Lipid Profile ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Control Group ◽  
Body Fat Percentage ◽  
Fat Percentage

The study was aimed to evaluate cardiovascular risk parameters, body mass index (BMI) centiles for sex and age, and body fat percentage using the electric bioimpedance method in children with juvenile idiopathic arthritis (JIA). 30 children with JIA participated in the study. A control group included 20 children. Patients were well matched for the age and sex. The body mass and body fat percentage were determined using the segmental body composition analyser; the BMI centiles were determined. All patients had the following parameters determined: lipid profile, hsCRP, homocysteine, and IL-6. The intima media thickness (IMT) was measured. Patients with JIA had significantly lower body weight, BMI, and the BMI centile compared to the control group. The IL-6 levels were significantly higher in patients with JIA compared to the control group. There were no differences between two groups with regard to the lipid profile, % content of the fat tissue, homocysteine levels, hsCRP, and IMT. Further studies are necessary to search for reasons for lower BMI and BMI centile in children with JIA and to attempt to answer the question of whether lower BMI increases the cardiovascular risk in these patients, similarly as in patients with rheumatoid arthritis (RA).

Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  
Keyword(s):  
Body Composition ◽  
Whey Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Soy Protein ◽  
Protein Supplementation ◽  
Body Fat Percentage ◽  
Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

scholarly journals Body composition and food intake in elderly women subjected to resistance training

2001 ◽  
Vol 14 (3) ◽  
pp. 177-183
Author(s):  
Aline Rodrigues BARBOSA ◽  
José Maria SANTARÉM ◽  
Wilson JACOB FILHO ◽  
Maria de Fátima Nunes MARUCCI
Keyword(s):  
Body Composition ◽  
Resistance Training ◽  
Food Intake ◽  
Training Program ◽  
Body Fat ◽  
Elderly Women ◽  
Whole Body ◽  
Control Group ◽  
Body Fat Percentage ◽  
Fat Percentage

This study analyzed the effects of a 10-wk resistance training program on body composition in 11 elderly women (68.91 ± 5.43 yrs). A control group of 8 women (65.13 ± 4.09 yrs) served as inactive control. The body fat percentage (skinfold thickness and bioelectrical impedance), body-circumference measurements and sum of skinfolds were assessed before and after 10 weeks. Food intake was assessed immediately before week 0 and week 10, from 3-day diet records (energy, protein, carbohydrate and fat). After initial tests, the subjects began a training program consisting of eight exercises for the whole body. The training program only resulted in decrease in sum of skinfolds (p<=0.05). No significant changes in any variable were observed in the control group. In conclusion, the training program did not reduce body fat percentage, although it reduced sum of skinfolds.

scholarly journals Body composition analysis in female ballet dancers

2003 ◽  
Vol 56 (11-12) ◽  
pp. 579-583 ◽  
Author(s):  
Bojan Mihajlovic ◽  
Sasa Mijatov ◽  
Biljana Srdic ◽  
Edita Stokic
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Normal Weight ◽  
Control Group ◽  
Composition Analysis ◽  
Study Group ◽  
Body Fat Mass ◽  
Ballet Dancers

Introduction The aim of this study was to evaluate and compare the nutritional status and body composition in female ballet dancers and a group of non-athletic female controls. Materials and methods The study group consisted of 30 female ballet dancers, aged 17.4?2.01, whereas the control group included 30 non-athletic female examinees, aged 18.00 years on average. Height and weight were measured and body mass index (BMI) was calculated in all subjects. Body composition was estimated using the bioelectrical impedance method. Results Body composition analysis of ballet dancers revealed significantly lower values of body fat mass compared to the control group (18.85?4.50% vs. 23.41?4.34). Most examinees in both groups were of normal weight. 50% of ballet dancers and 23.33% of examinees in the control group were underweight, while overweight subjects were registered only in the control group. Most underweight ballet dancers had lower body fat mass, whereas majority of underweight examinees in the control group presented with normal body fat mass. Normal-weight obesity was established in 40.91% candidates in the control and 6.67% in the study group. Conclusion Ballet dancers had significantly lower values of body mass and BMI, compared to the study group. In order to prevent very serious complications caused by changes in size and proportion of some body compartments, it is necessary to carry out assessment of body composition more often in high-risk groups, such as the study group of ballet dancers.

scholarly journals Somatic maturation and body composition in female healthy adolescents with or without adjustment for body fat

2014 ◽  
Vol 32 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Valter Paulo N. Miranda ◽  
Franciane Rocha de Faria ◽  
Eliane Rodrigues de Faria ◽  
Silvia Eloiza Priore
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Body ◽  
The Body ◽  
Female Adolescents ◽  
Height Velocity ◽  
Average Score ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Peak Height Velocity

Objective: To evaluate the relationship between the stages of somatic maturation and body composition in eutrophic female adolescents with or without excessive body fat. Methods: Cross-sectional study of 118 female adolescents, from 14 to 19 years-old, in Viçosa, Minas Gerais, Southeast Brazil. The adolescents were divided in two groups: Group 1 (G1), eutrophic with adequate body fat percentage, and Group 2 (G2), eutrophic with high body fat percentage. The somatic maturation was assessed by the formula for estimating the Peak Height Velocity (PHV). Results: The PHV had higher average score in G1 adolescents compared to G2 (0.26 versus 0.05; p=0.032). There was an association between G1, G2 and the somatic maturation (p=0.049). The female adolescents before and during PHV presented higher values of fat body BMI (p=0.034) and percentage of central fat (p=0.039) compared to the adolescents after PHV. There was a correspondence between before PHV stage and the excess of body fat (α=0.751). Conclusions: There was an association between somatic maturation and body composition in eutrophic female adolescents. Length, BMI and fat percentage were different among the somatic maturation stages. It is relevant to evaluate the somatic maturation and the changes occurring in the body composition during adolescence in order to better evaluate and manage the nutritional status and the body fat excess.

Calf circumference is similarly associated with fat mass and lean mass in postmenopausal women with high body fat percentage

Nutrire ◽  
2019 ◽  
Vol 45 (1) ◽  
Author(s):  
Raíla P. F. Cruz ◽  
Sara M. Barreiro ◽  
Anne M. Mendonça ◽  
Luana T. Rossato ◽  
Paula C. Nahas ◽  
...  
Keyword(s):  
Postmenopausal Women ◽  
Body Fat ◽  
Fat Mass ◽  
Lean Mass ◽  
Body Fat Percentage ◽  
Calf Circumference ◽  
Fat Percentage ◽  
High Body

Effects of weight loss using supplementation with Lactobacillus strains on body fat and medium-chain acylcarnitines in overweight individuals

2017 ◽  
Vol 8 (1) ◽  
pp. 250-261 ◽  
Author(s):  
Minkyung Kim ◽  
Minjoo Kim ◽  
Miso Kang ◽  
Hye Jin Yoo ◽  
Min Sun Kim ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Body Fat ◽  
Subcutaneous Fat ◽  
The Body ◽  
Body Fat Percentage ◽  
Body Fat Mass ◽  
Fat Percentage ◽  
Probiotic Supplementation ◽  
Percentage Body Fat

Probiotic supplementation increased the levels of C8:1, C14:1, C10, and C12:1 acylcarnitines, and these increases were correlated with a decrease in the body weight, body fat percentage, body fat mass and L1 subcutaneous fat area.

scholarly journals Hormone replacement therapy affects body composition and leptin differently in obese and non-obese postmenopausal women

1999 ◽  
Vol 163 (1) ◽  
pp. 55-62 ◽  
Author(s):  
K Kristensen ◽  
SB Pedersen ◽  
P Vestergaard ◽  
L Mosekilde ◽  
B Richelsen
Keyword(s):  
Body Composition ◽  
Adipose Tissue ◽  
Hormone Replacement Therapy ◽  
Replacement Therapy ◽  
Postmenopausal Women ◽  
Body Fat ◽  
Fat Mass ◽  
Hormone Replacement ◽  
Control Group ◽  
Obese Subjects

Leptin and oestrogen are both involved in the regulation of adipose tissue deposition and feeding behaviour. We investigated whether 5 years of hormone replacement therapy (HRT) affected serum leptin and body composition differently in 89 postmenopausal women treated with HRT compared with 178 controls. At baseline, leptin was significantly correlated with oestradiol (r=0.13, P<0.05) and in multiple backward regression analysis including oestradiol and any estimate of body fat, oestradiol remained a significant determinant of leptin levels. In the control group, all estimates of body fat determined by dual energy X-ray absorptiometry (DEXA) or anthropometry were increased (3.6-16.9%) and leptin increased 31.3% (16.03+/-1.02 to 20.84+/-1.2 ng/ml (s.e.m.), P<0.001). In the HRT group all estimates of body composition also increased during the 5-year observation but to a lesser extent than observed in the control group (1.0-8.5%). Leptin was raised by 19.7% (17.81+/-1.32 to 20.57+/-1.65 ng/ml, P<0.001). However, the DEXA scans revealed that the control group gained 2.4-fold more fat during the 5-year observation (1.9+/-0.3 vs 0.8+/-0.4 kg, P<0.05), and especially the trunk fat increased (1.4+/-0.2 vs 0.7+/-0.3 kg, P<0.05). This was reflected in the increase in leptin levels, which were increased by 7.4% in the control group compared with the HRT group (4.81+/-0.60 vs 2.76+/-0.87 ng/ml, P<0.05). Adjusting for the difference in adipose tissue revealed that HRT had no independent effect on leptin levels. Comparisons between obese (body mass index>25 kg/m(2)) and non-obese (<25 kg/m(2)) subjects by stratifying for HRT treatment using multiple linear regression revealed that the change in fat mass was significantly less among treated subjects (P=0.038) and especially in the non-obese subjects (P=0.001). The change in trunk fat was similarly correlated with treatment status (P=0.029) and with the degree of obesity (P=0.006). In conclusion, 5 years of HRT treatment significantly reduced fat mass accumulation, especially in the trunk region. This effect of HRT was more pronounced in non-obese as compared with obese subjects. The HRT-induced reduction in fat mass seems not to be mediated by leptin.

scholarly journals Equation to Fat Percentage Estimation in Women with Reduced Bone Mineral Density

2017 ◽  
Vol 10 (1) ◽  
pp. 251-256
Author(s):  
Cristiane da Silva Oselame ◽  
Gleidson Brandão Oselame ◽  
Oslei de Matos ◽  
Eduardo Borba Neves
Keyword(s):  
Bone Mineral Density ◽  
Body Composition ◽  
Body Fat ◽  
Bone Mineral ◽  
The Body ◽  
World Health ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Mineral Density ◽  
Postmenopausal Period

Introduction: The measurement of body fat is a way to obtain information about the characteristics that can lead to a framework of certain diseases. Thus, women in postmenopausal period experience significant variations in the body composition and fat distribution. Objective: To develop an equation to estimation of the body fat percentage in women with osteopenia / osteoporosis based on anthropometric measurements easily obtainable. Methods: The sample consisted of 74 women participating in the study group of the Physical Exercise Program for Osteoporosis Federal Technological University of Paraná, all in postmenopausal period and with osteopenia or osteoporosis. It evaluated body composition and bone mineral density by absorptiometry Radiological Dual Energy (DXA), anthropometry and body circumferences (waist, abdomen and hips), and nutritional status by the Body Mass Index (BMI) as the World Health Organization classification. Results: The sample can be characterized by the following average data: age of 59.32 ± 6.96, 27.14 ± 3 BMI 90, Waist Hip Ratio of 0.85 ± 0.08 and Body fat percentage 40.35 ± 4.04. The proposed equation was Body Fat Percentage (BFP) = 14,419 + (0.405 x BMI) + (0.147 x HC) using only two predictor variables, BMI and hip circumference (PQ). Conclusion: The standard error of estimate of the proposed equation was 2.89 (R2 = 0.501) can be considered low average values for the percentage of fat in this population, suggesting that the equation can be used to estimate the percentage of body fat in postmenopausal women.

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