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 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 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 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 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 Performance of body mass index and percentage of body fat in predicting cardiometabolic risk factors in Thai adults

2018 ◽  
Vol Volume 11 ◽  
pp. 241-253 ◽  
Author(s):  
Somlak Vanavanan ◽  
Pornpen Srisawasdi ◽  
Mana Rochanawutanon ◽  
Nalinee Kumproa ◽  
Khanat Kruthkul ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Percentage Of Body Fat

scholarly journals Association between eating habits, body mass index, cardiorespiratory fitness, and cardiometabolic risk factors in children

2021 ◽  
Vol 34 ◽  
Author(s):  
Miguel Angelo dos Santos DUARTE JUNIOR ◽  
Adroaldo Cezar Araujo GAYA ◽  
Vanilson Batista LEMES ◽  
Camila Felin FOCHESATTO ◽  
Caroline BRAND ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Cardiometabolic Risk ◽  
Eating Habits ◽  
Density Lipoprotein ◽  
The Body ◽  
Cardiometabolic Risk Factors

ABSTRACT Objective To verify the multivariate relationships between eating habits, cardiorespiratory fitness, body mass index, and cardiometabolic risk factors in children. Methods This is a cross-sectional study developed in a public elementary school with 60 first- to sixth-graders. Their eating habits were assessed using the Food Frequency Survey, weight, height, and cardiorespiratory fitness, assessed according to the Projeto Esporte Brasil protocol. Moreover, the variables, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, adiponectin, leptin, diastolic and systolic blood pressure were evaluated. Descriptive statistics were used for data analysis and generalized estimation equations were used for the analysis of direct and indirect relations, in a multivariate analysis model with several simultaneous outcomes. Results It appears that the eating habits and cardiorespiratory fitness explain 20% of the body mass index. Cardiometabolic risk factors are explained by the relationship between eating habits, cardiorespiratory fitness, and body mass index, according to the following percentages: 29% (systolic blood pressure), 18% (diastolic blood pressure), 63% (leptin), 4% (adiponectin), 14% (C-reactive protein), 17% (insulin), 10% (high-density lipoprotein), 1% (low-density lipoprotein), 4% (glucose). It is also observed that the effects of the eating habits on cardiometabolic risk factors are indirect, that is, they are dependent on changes in the body mass index and cardiorespiratory fitness levels. Conclusions The relationship between eating habits and cardiometabolic risk factors in children is dependent on cardiorespiratory fitness and body mass index. Thus, our findings suggest a multivariate relationship between these factors.

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