Changes in aldosterone and obesity-related cardiometabolic risk factors with a 1-year weight loss intervention in normotensive overweight and obese young adults

2013 ◽  
Vol 36 (10) ◽  
pp. 856-858 ◽  
Author(s):  
Gian Paolo Rossi ◽  
Teresa M Seccia
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Young Adults ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Weight Loss Intervention

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 >0.05). Late eaters had higher BMI, higher concentrations of triglycerides, and lower insulin sensitivity compared with early eaters (all P <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.

scholarly journals The Effect of Four Weeks Dietary Intervention with 8-Hour Time-Restricted Eating on Body Composition and Cardiometabolic Risk Factors in Young Adults

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2164
Author(s):  
Su-Jeong Park ◽  
Jae-Won Yang ◽  
Yoon-Ju Song
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Young Adults ◽  
Body Composition ◽  
Body Weight ◽  
Weight Gain ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Meal Frequency ◽  
Weight Loss Group

Recently, intermittent fasting, also known as time-restricted eating (TRE), has become a popular diet trend. Compared to animal studies, there have been few studies and inconclusive findings investigating the effects of TRE in humans. In this study, we examined the effects of 8 h TRE on body weight and cardiometabolic risk factors in young adults who were mainly active at night. A total of 33 young adults completed the 8 h TRE for 4 weeks. Body composition was measured by bioelectrical impedance analysis at baseline and every 2 weeks, and blood samples were collected at baseline and week 4. Daily dietary records were logged throughout the intervention period. Participants experienced significant changes in body weight (−1.0 ± 1.4 kg), body mass index (−0.4 ± 0.5 kg/m2), and body fat (−0.4 ± 1.9%) after 4 weeks of TRE. When participants were divided into weight loss/gain groups based on their weight change in week 4, fat mass reduction was significantly higher in the weight loss group than in the weight gain group. Regarding cardiometabolic risk factors, levels of fasting insulin and insulin resistance improved in the weight loss group after intervention, but not in the weight gain group. All subjects showed late-shifted sleeping patterns, but no significant differences in sleep duration, sleep quality, or psychological measures between the two groups. When meal frequency and energy proportion were evaluated, the average meal frequency was 2.8 ± 0.5 and energy proportions of breakfast, lunch, dinner, and snacks were 4.5, 39.2, 37.6, and 18.5%, respectively; there were no significant differences between the two groups. However, the saturated fat intake at dinner was lower in the weight loss group (3.1 ± 3.2%, 6.0 ± 2.5% respectively). In conclusion, 8 h TRE can be applied as a lifestyle strategy to manage body weight and cardiometabolic risk factors among young adults with late chronotypes.

Abstract P249: A Behavioral Weight Loss Intervention is Effective for Change in CVD Risk Factors in Young Adults: The IDEA Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
John M Jakicic ◽  
Kelliann K Davis ◽  
Bethany Barone Gibbs ◽  
Diane Helsel ◽  
Wendy C King ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Weight Loss ◽  
Young Adults ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cardiovascular Disease Risk Factors ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention

Introduction: Few studies have examined behavioral weight loss interventions with respect to change in cardiovascular disease risk factors in young adults (aged 18 to 35 years). Hypothesis: We tested the hypothesis that a 6 month behavioral weight loss intervention resulted in significant improvements in selective cardiovascular disease risk factors in young adults. Methods: Data are presented as median [25 th , 75 th percentiles]. 470 participants (age: 30.9 [27.8, 33.7] years); BMI: 31.2 [28.4, 34.3] kg/m 2 ) were enrolled in a 6 month behavioral weight loss intervention that included weekly group sessions and prescribed an energy restricted diet and moderate-to-vigorous physical activity. Assessments included weight using a standardized protocol, resting blood pressure, and fasting lipids, glucose, and insulin. Statistical significance of change was according to tests of symmetry or the Wilcoxon matched pairs signed ranks test. Results: The primary outcome (weight) was available for 424 of the 470 participants (90.2%). Weight significantly decreased (-7.8 kg [-12.2, -3.7]) (p<0.0001). Systolic (-4.0 mmHg [-8.5, 0.5] and diastolic blood pressure (-3.0 mmHg [-6.5, 1.0]) decreased (p<0.0001). Total cholesterol (-13 mg/dl [-28.0, 2.0]), LDL cholesterol (-9.5 mg/dl [-21.7, 2.0]), triglycerides (-8.5 mg/dl [-44.0, 9.0]), glucose (-4.0 mg/dl [-8.0, 1.0]), and insulin (-2.6 mIU/L [-5.9, 0.7]) decreased (p<0.0001, n=416). There was not a significant change in HDL cholesterol (p=0.72). Conclusions: In conclusion, after 6 months, weight loss was observed in young adults assigned to this behavioral intervention that focused on physical activity and diet modification. They tended to also have improved cardiovascular disease risk factors. This may demonstrate an approach to reducing cardiovascular disease risk in young adults. Supported by NIH (U01HL096770) and AHA (12BGIA9410032)

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 Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Young Adults ◽  
Body Mass ◽  
Weight Status ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.

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