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 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 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.

scholarly journals Maternal hypertensive disorders in pregnancy and early childhood cardiometabolic risk factors: The Generation R Study

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261351
Author(s):  
Dionne V. Gootjes ◽  
Anke G. Posthumus ◽  
Vincent W. V. Jaddoe ◽  
Bas B. van Rijn ◽  
Eric A. P. Steegers
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Early Childhood ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Hypertensive Disorders Of Pregnancy ◽  
Hypertensive Disorders ◽  
Childhood Body Mass Index

The objective of this study was to determine the associations between hypertensive disorders of pregnancy and early childhood cardiometabolic risk factors in the offspring. Therefore, 7794 women from the Generation Rotterdam Study were included, an ongoing population-based prospective birth cohort. Women with a hypertensive disorder of pregnancy were classified as such when they were affected by pregnancy induced hypertension, pre-eclampsia or the haemolysis, elevated liver enzymes and low platelet count (HELLP) syndrome during pregnancy. Early childhood cardiometabolic risk factors were defined as the body mass index at the age of 2, 6, 12, 36 months and 6 years. Additionally, it included systolic blood pressure, diastolic blood pressure, total fat mass, cholesterol, triglycerides, insulin and clustering of cardiometabolic risk factors at 6 years of age. Sex-specific differences in the associations between hypertensive disorders and early childhood cardiometabolic risk factors were investigated. Maternal hypertensive disorders of pregnancy were inversely associated with childhood body mass index at 12 months (confounder model: -0.15 SD, 95% CI -0.27; -0.03) and childhood triglyceride at 6 years of age (confounder model: -0.28 SD, 95% CI -0.45; -0.10). For the association with triglycerides, this was only present in girls. Maternal hypertensive disorders of pregnancy were not associated with childhood body mass index at 2, 6 and 36 months. No associations were observed between maternal hypertensive disorders of pregnancy and systolic blood pressure, diastolic blood pressure, body mass index, fat mass index and cholesterol levels at 6 years of age. Our findings do not support an independent and consistent association between maternal hypertensive disorders of pregnancy and early childhood cardiometabolic risk factors in their offspring. However, this does not rule out possible longer term effects of maternal hypertensive disorders of pregnancy on offspring cardiometabolic health.

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

Association between maternal prepregnancy body mass index with offspring cardiometabolic risk factors: analysis of three Brazilian birth cohorts

2021 ◽  
pp. 1-7
Author(s):  
Mariane da Silva Dias ◽  
Alicia Matijasevich ◽  
Ana Maria B. Menezes ◽  
Fernando C. Barros ◽  
Fernando C. Wehrmeister ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Diastolic Blood Pressure ◽  
Cardiometabolic Risk ◽  
Hdl Cholesterol ◽  
Cardiometabolic Risk Factors ◽  
Birth Cohorts ◽  
Prepregnancy Bmi ◽  
Prepregnancy Body Mass Index

Abstract Evidence suggests that maternal prepregnancy body mass index (BMI) is associated with offspring cardiometabolic risk factors. This study was aimed at assessing the association of maternal prepregnancy BMI with offspring cardiometabolic risk factors in adolescence and adulthood. We also evaluated whether offspring BMI was a mediator in this association. The study included mother–offspring pairs from three Pelotas birth cohorts. Offspring cardiometabolic risk factors were collected in the last follow-up of each cohort [mean age (in years) 30.2, 22.6, 10.9]. Blood pressure was measured using an automatic device, cholesterol by using an enzymatic colorimetric method, and glucose from fingertip blood, using a portable glucose meter. In a pooled analysis of the cohorts, multiple linear regression was used to control for confounding. Mediation analysis was conducted using G-computation formula. In the adjusted model, mean systolic blood pressure of offspring from overweight and obese mothers was on average 1.25 (95% CI: 0.45; 2.05) and 2.13 (95% CI: 0.66; 3.59) mmHg higher than that of offspring from normal-weight mothers; for diastolic blood pressure, the means were 0.80 (95% CI: 0.26; 1.34) and 2.60 (95% CI: 1.62; 3.59) mmHg higher, respectively. Non-HDL cholesterol was positively associated with maternal BMI, whereas blood glucose was not associated. Mediation analyses showed that offspring BMI explained completely the association of maternal prepregnancy BMI with offspring systolic and diastolic blood pressure, and non-HDL cholesterol. Our findings suggest that maternal prepregnancy BMI is positively associated with offspring blood pressure, and blood lipids, and this association is explained by offspring BMI.

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

Abstract P148: Neck Circumference as an Independent Contributor to Cardio Metabolic Risk Factors - ELSA BRASIL

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Cristina P Baena ◽  
Paulo A Lotufo ◽  
Maria J Fonseca ◽  
Isabela J Benseñor
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Primary Care ◽  
Cardiometabolic Risk ◽  
Neck Circumference ◽  
Cardiometabolic Risk Factors ◽  
Metabolic Risk ◽  
Men And Women ◽  
Low Hdl

Background: Neck circumference is a proxy for upper body fat and it is a simple anthropometric measure. Therefore it could be a useful tool to identify individuals with cardiometabolic risk factors in the context of primary care. Hypothesis: Neck circumference is independently associated to cardiometabolic risk factors in an apparently healthy population. Methods: This is a cross-sectional analysis of baseline data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of 15105 civil servants aged 35-74 years. We excluded from this analysis those who fulfilled American Diabetes Association criteria for diabetes diagnosis, were taking antihypertensive and/or lipid-lowering drugs. A sex-specific analysis was conducted. Partial correlation (age-adjusted) was used. Risk factors were set as low HDL<50mg/dL for women and <40mg/dL for men, hypertriglyceridemia ≥ 150 mg/dl , hypertension as systolic blood pressure ≥130 mg/dl or diastolic blood pressure ≥85 mm Hg and insulin resistance(HOMA-IR ≥ 75th percentile). Logistic regression models were built to analyze the association between individual and clustered risk factors as dependent variables and 1-SD increase in neck circumference as independent variable. Multiple adjustments were subsequently performed for age, smoking, alcohol, body-mass index, waist and physical activity. Receiver Operating Curves were employed to find the best NC cut-off points for clustered risk factors. Results: We analyzed 3810 men (mean age= 49.0 ±8.3 yrs) and 4916 women (49.2 ±8.0 yrs). Mean NC was 38.9 (±2.6)cm for men and 33.4(±2.6)cm for women. NC positively correlated with systolic and diastolic blood pressure (r=0.21 and r=0.27), HOMA - IR (r=0.44), triglycerides (r=0.31) and negatively correlated with HDL (r= -0.21) in men (p<0.001 for all) with similar results in women. Fully adjusted Odds Ratio (OR) (95% CI) of risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.46) and 1.42(1.28;1.57) for insulin resistance; 1.24(1.11;1.39) and 1.25(1.11;1.40) for hypertension; 1.33(1.19;1.49) and 1.42(1.29;1.63) for hypertriglyceridemia; 1.07(0.92;1.23) and 1.32 (1.19;1.43) for low HDL. Fully adjusted OR (95% CI) of 2 clustered risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.48) and 1.37(1.21;1.54 ). Fully adjusted OR (95% CI) of 3 or more clustered risk factors per SD increase in neck circumference in men and women were 1.33 (1.02;1.74) and 1.62 (1.33;1.92). Values of neck circumference of >40 cm for men and >34.1 cm for women were the best cut-off points for 3 or more clustered risk factors. Conclusion: Neck circumference is significantly and independently associated to cardiometabolic risk factors in a well-defined non-treated population. It should be considered as a marker of cardio metabolic risk factors in primary care settings.

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