scholarly journals Long-term changes in body composition and their relationships with cardiometabolic risk factors: A population-based cohort study

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251486
Author(s):  
Zhaoyang Fan ◽  
Yunping Shi ◽  
Guimin Huang ◽  
Dongqing Hou ◽  
Junting Liu
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Body Mass ◽  
High Stability ◽  
Weight Status ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Stability Group ◽  
Long Term Study

The aim of the present study was to classify the latent body fat trajectories of Chinese adults and their relationships with cardiometabolic risk factors. Data were obtained from the China Health Nutrition Survey for 3,013 participants, who underwent six follow-up visits between 1993 and 2009. Skinfold thickness and other anthropometric indicators were used to estimate body composition. The latent growth model was used to create fat mass to fat-free mass ratio (F2FFMR) trajectory groups. Blood pressure, fasting plasma glucose, total cholesterol, triglycerides, and high- and low-density lipoprotein–cholesterol were measured in venous blood after an overnight fast. Logistic regression was used to explore the relationships of F2FFMR trajectory with cardiometabolic risk factors. In men, four types of F2FFMR trajectory were identified. After adjustment for behavioral and lifestyle factors, age, and weight status, and compared with the Low stability group, the High stability group showed a significant association with diabetes. In women, three types of F2FFMR trajectory were identified. Compared to the Low stability group, the High stability group showed significant associations with diabetes and hypertension after adjustment for the same covariates as in men. Thus, in this long-term study we have identified three F2FFMR trajectory groups in women and four in men. In both sexes, the highly stable F2FFMR is associated with the highest risk of developing diabetes, independent of age and body mass. In addition, in women, it is associated with the highest risk of hypertension, independent of age and body mass.

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 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.

scholarly journals Changes in Body Composition and Cardiometabolic Risk Factors in Relation to the Reduction in Body Mass Index in Adolescents with Obesity

2021 ◽  
Author(s):  
Teodoro Durá-Travé ◽  
Fidel Gallinas-Victoriano ◽  
María Malumbres-Chacón ◽  
María Urretavizcaya-Martinez ◽  
Paula Moreno-González ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Composition ◽  
Lipid Profile ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Blood Testing

Abstract Background. There are controversial data in relation to the reduction in BMI-SDS needed to improve adiposity in the pediatric population with obesity. The aim of this work is to determine the minimum variation in body mass index standard deviation score (BMI-SDS) required to improve the values of adiposity markers and cardiometabolic risk factors in growing adolescents with obesity. Methods. A longitudinal study consisting in clinical evaluation (waist circumference, waist-to-height ratio and fat mass index, and blood pressure) and blood testing (insulin resistance and lipid profile) was conducted in 350 adolescents with obesity (152 boys and 198 girls), aged 10.2–14.3 years, that went through a combined intervention (12 months). Results. A decrease in SDS-BMI ≤0.5 was not associated with any significant improvement in the clinical features and blood testing recorded. A decrease in BMI-SDS >0.5, and especially if >1.0, was linked to a significant improvement in adiposity markers. A decrease in BMI-SDS >0.5 was associated with a significant improvement in insulin resistance, and a decrease in BMI-SDS >1.0 was associated with a significant decrease in the percentage of patients who showed high values of systolic blood pressure, HOMA-IR and lipid profile Conclusions. Improvement in body composition, insulin resistance and lipid profile can be observed with reductions in BMI-SDS of ≥0.5 in obese adolescents, while extended benefits are obtained by losing at least 1.0 BMI-SDS.

scholarly journals Changes in body composition and cardiometabolic risk factors in relation to the reduction in body mass index in adolescents with obesity

2021 ◽  
Author(s):  
Teodoro Durá-Travé ◽  
Fidel Gallinas-Victoriano ◽  
María Malumbres Chacón ◽  
María Urretavizcaya-Martínez ◽  
Paula Moreno González ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

scholarly journals Body Mass Index, Waist Circumference, and the Clustering of Cardiometabolic Risk Factors in Early Childhood

2015 ◽  
Vol 30 (2) ◽  
pp. 160-170 ◽  
Author(s):  
Laura N. Anderson ◽  
Gerald Lebovic ◽  
Jill Hamilton ◽  
Anthony J. Hanley ◽  
Brian W. McCrindle ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Early Childhood ◽  
Waist Circumference ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

scholarly journals Glucocorticoid receptor polymorphisms modulate cardiometabolic risk factors in patients in long-term remission of Cushing’s syndrome

Endocrine ◽  
2016 ◽  
Vol 53 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Sean H. P. P. Roerink ◽  
M. A. E. M. Wagenmakers ◽  
J. W. A. Smit ◽  
E. F. C. van Rossum ◽  
R. T. Netea-Maier ◽  
...  
Keyword(s):  
Risk Factors ◽  
Glucocorticoid Receptor ◽  
Cushing’S Syndrome ◽  
Cardiometabolic Risk ◽  
Cushing's Syndrome ◽  
Cardiometabolic Risk Factors ◽  
Glucocorticoid Receptor Polymorphisms

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.

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