scholarly journals No effect of epigallocatechin-3-gallate with weight loss on adiposity reduction, cardiometabolic risk factors and liver function in pre-menopausal obese women

2014 ◽  
Vol 112 (9) ◽  
pp. 1586-1586
Author(s):  
Tomoyuki Kawada
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Liver Function ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Obese Women

scholarly journals Effects of dietary supplementation with epigallocatechin-3-gallate on weight loss, energy homeostasis, cardiometabolic risk factors and liver function in obese women: randomised, double-blind, placebo-controlled clinical trial

2013 ◽  
Vol 111 (7) ◽  
pp. 1263-1271 ◽  
Author(s):  
Juan Mielgo-Ayuso ◽  
Lurdes Barrenechea ◽  
Pilar Alcorta ◽  
Eider Larrarte ◽  
Javier Margareto ◽  
...  
Keyword(s):  
Risk Factors ◽  
Liver Function ◽  
Cardiometabolic Risk ◽  
Ldl Cholesterol ◽  
Cardiometabolic Risk Factors ◽  
Obese Women ◽  
Restricted Diet ◽  
Control Groups ◽  
Double Blind ◽  
And Control

The aim of the present study was to examine the effects of green tea epigallocatechin-3-gallate (EGCG) on changes in body composition, energy and substrate metabolism, cardiometabolic risk factors and liver function enzymes after an energy-restricted diet intervention in obese women. In the present randomised, double-blind, placebo-controlled study, eighty-three obese (30 kg/m2>BMI < 40 kg/m2) pre-menopausal women consumed 300 mg/d of EGCG or placebo (lactose). We measured body weight and adiposity (dual-energy X-ray absorptiometry), energy expenditure and fat oxidation rates (indirect calorimetry), blood lipid levels (TAG, total cholesterol, LDL-cholesterol and HDL-cholesterol), insulin resistance, C-reactive protein and liver function markers (aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, γ-glutamyltransferase, urea, bilirubin and 2-keto[1-13C]isocaproate oxidation) before and after the intervention in the EGCG and control groups. We did not find any significant difference in the changes in body weight ( − 0·3 kg, 95 % CI − 5·0, 4·3), fat mass ( − 0·7 kg, 95 % CI − 3·5, 2·1), energy (0·3 kJ/kg per d, 95 % CI − 3·1, 2·7) and fat ( − 0·1 g/min, 95 % CI − 0·03, 0·01) metabolism, homeostasis assessment model for insulin resistance (0·2, 95 % CI − 0·2, 0·7), total cholesterol ( − 0·21 mmol/l, 95 % CI − 0·55, 0·13), LDL-cholesterol ( − 0·15 mmol/l, 95 % CI − 0·50, 0·20), TAG ( − 0·14 mmol/l, 95 % CI − 0·56, 0·29) and liver function markers between the EGCG and control groups. In conclusion, the present results suggest that dietary supplementation with 300 mg/d of EGCG for 12 weeks did not enhance energy-restricted diet-induced adiposity reductions, and did not improve weight-loss-induced changes in cardiometabolic risk factors in obese Caucasian women. The intake of 300 mg/d of EGCG for 12 weeks did not cause any adverse effect on liver function biomarkers.

scholarly journals Effects of Nine-Month Lifestyle Intervention on Cardiometabolic Risk Factors: Sex Differences in Obese Individuals

Obesities ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 29-35
Author(s):  
Florent Besnier ◽  
Anil Nigam ◽  
Martin Juneau ◽  
Valérie Guilbeault ◽  
Elise Latour ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Sex Differences ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Interval Training ◽  
Cardiometabolic Risk Factors ◽  
Obese Women ◽  
Baseline Values ◽  
High Intensity Interval

Limited data is available on the sex differences and individual responses of cardiometabolic parameters adjusted with potential confounders (i.e. sex, age, baseline values) after a longer term Mediterranean diet (MedD) and high intensity interval training (HIIT) in obese subjects. The objective of this study was to compare the effects of nine-month MedD counseling and supervised HIIT on cardiometabolic risk factors and individual responses in obese women (n = 99) and obese men (n = 35). Body composition (body mass, fat mass, lean body mass, waist circumference), cardiorespiratory fitness (METs), and cardiometabolic risk factors (blood pressure, blood sample variables) were measured at baseline and after nine months of a program combining MedD and HIIT two to three times a week. When adjusted with sex, age, and baseline values, obese women similarly improved their body composition, METs, and cardiometabolic risk factors vs. obese men. The proportion of responders according to clinical cutoff levels were the same in obese women and men. A longer MedD and HIIT intervention similarly improves body composition, cardiometabolic risk factors, and individual responses in obese women and men, even after adjustment of confounders (sex, age, baseline value).

scholarly journals Effects of Extreme Weight Loss on Cardiometabolic Health in Children With Metabolic Syndrome: A Metabolomic Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Jingxin Liu ◽  
Lin Zhu ◽  
Jing Liao ◽  
Xiaoguang Liu
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Weight Loss ◽  
Body Composition ◽  
Organic Acids ◽  
Cardiometabolic Risk ◽  
The Body ◽  
Cardiometabolic Risk Factors ◽  
Plasma Metabolites ◽  
Cardiometabolic Health

Objectives: To evaluate the effect of extreme weight loss programs on circulating metabolites and their relationship with cardiometabolic health in children with metabolic syndrome.Methods: This study was a quasi-experimental design with a pretest and post-test. Thirty children with metabolic syndrome and aged 10–17years were recruited to an extreme weight loss program (i.e., exercise combined with diet control). The primary outcomes included plasma metabolites, body composition, and cardiometabolic risk factors. A total of 324 metabolites were quantitatively detected by an ultra-performance liquid chromatography coupled to tandem mass spectrometry system, and the variable importance in the projection (VIP) value of each metabolite was calculated by the orthogonal projection to latent structures discriminant analysis. The fold change (FC) and p value of each metabolite were used to screen differential metabolites with the following values: VIP&gt;1, p value&lt;0.05, and |log2FC|&gt;0.25. Pathway enrichment and correlation analyses between metabolites and cardiometabolic risk factors were also performed.Result: A large effect size was observed, presenting a weight loss of −8.9kg (Cohen’s d=1.00, p&lt;0.001), body mass index reduction of −3.3kg/m2 (Cohen’s d=1.47, p&lt;0.001), and body fat percent reduction of −4.1 (%) (Cohen’s d=1.22, p&lt;0.001) after the intervention. Similar improvements were found in total cholesterol (Cohen’s d=2.65, p&lt;0.001), triglycerides (Cohen’s d=2.59, p&lt;0.001), low-density lipoprotein cholesterol (Cohen’s d=2.81, p&lt;0.001), glucose metabolism, and blood pressure. A total of 59 metabolites were changed after the intervention (e.g., aminoacyl-tRNA biosynthesis, glycine, serine, and threonine metabolism; nitrogen metabolism, tricarboxylic acid cycle, and phenylalanine, tyrosine, and tryptophan biosynthesis). The changes in metabolites (e.g., amino acids, fatty acids, organic acids, and carnitine) were related to lipid metabolism improvement (p&lt;0.05). Organic acids and carnitines were associated with changes in the body composition (p&lt;0.05).Conclusion: Exercise combined with dietary control improved the body composition and cardiometabolic health in children with metabolic syndrome, and these changes may be related to plasma metabolites.

scholarly journals Effects of whole and refined grains on cardiometabolic risk factors in a controlled‐feeding, weight loss study: Preliminary findings

2012 ◽  
Vol 26 (S1) ◽  
Author(s):  
Kristina Arline Harris ◽  
Shiela West ◽  
Jack Vanden Heuvel ◽  
Satya Jonnalagadda ◽  
Penny Kris-Etherton
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Refined Grains ◽  
Weight Loss Study

scholarly journals Late eating is associated with cardiometabolic risk traits, obesogenic behaviors, and impaired weight loss

2020 ◽  
Vol 113 (1) ◽  
pp. 154-161 ◽  
Author(s):  
Hassan S Dashti ◽  
Puri Gómez-Abellán ◽  
Jingyi Qian ◽  
Alberto Esteban ◽  
Eva Morales ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Cardiometabolic Health ◽  
Activity Levels ◽  
Weight Loss Intervention ◽  
Meal Intake ◽  
Intervention Protocol ◽  
Obesogenic Behaviors

ABSTRACT Background There is a paucity of evidence regarding the role of food timing on cardiometabolic health and weight loss in adults. Objectives To determine whether late eating is cross-sectionally associated with obesity and cardiometabolic risk factors at baseline; and whether late eating is associated with weight loss rate and success following a weight loss intervention protocol. Also, to identify obesogenic behaviors and weight loss barriers associated with late eating. Methods Participants were recruited from a weight-loss program in Spain. Upon recruitment, the midpoint of meal intake was determined by calculating the midway point between breakfast and dinner times, and dietary composition was determined from diet recall. Population median for the midpoint of meal intake was used to stratify participants into early (before 14:54) and late (after 14:54) eaters. Cardiometabolic and satiety hormonal profiles were determined from fasting blood samples collected prior to intervention. Weekly weight loss and barriers were evaluated during the ∼19-wk program. Linear and logistic regression models were used to assess differences between late and early eaters in cardiometabolic traits, satiety hormones, obesogenic behaviors, and weight loss, adjusted for age, sex, clinic site, year of recruitment, and baseline BMI. Results A total of 3362 adults [mean (SD): age: 41 (14) y; 79.2% women, BMI: 31.05 (5.58) kg/m2] were enrolled. At baseline, no differences were observed in energy intake or physical activity levels between early and late eaters (P &gt;0.05). Late eaters had higher BMI, higher concentrations of triglycerides, and lower insulin sensitivity compared with early eaters (all P &lt;0.05) prior to intervention. In addition, late eaters had higher concentrations of the satiety hormone leptin in the morning (P = 0.001). On average, late eaters had an average 80 g lower weekly rate of weight loss [early, 585 (667) g/wk; late, 505 (467) g/wk; P = 0.008], higher odds of having weight-loss barriers [OR (95% CI): 1.22 (1.03, 1.46); P = 0.025], and lower odds of motivation for weight loss [0.81 (0.66, 0.99); P = 0.044] compared with early eaters. Conclusion Our results suggest that late eating is associated with cardiometabolic risk factors and reduced efficacy of a weight-loss intervention. Insights into the characteristics and behaviors related to late eating may be useful in the development of future interventions aimed at advancing the timing of food intake.

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