THE EFFECT OF LEAN BODY MASS ON INSULIN RESISTANCE AND OTHER CARDIOMETABOLIC RISK FACTORS IN HEALTHY POSTMENOPAUSAL WOMEN

2011 ◽  
Vol 22 ◽  
pp. S49
Author(s):  
Chrysi Koliaki ◽  
Melpomeni Peppa ◽  
Eleni Boutati ◽  
Efstathios Garoflos ◽  
Athanasios Papaefstathiou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Postmenopausal Women ◽  
Lean Body Mass ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

scholarly journals Association of lean body mass with cardiometabolic risk factors in healthy postmenopausal women

Obesity ◽  
2014 ◽  
Vol 22 (3) ◽  
pp. 828-835 ◽  
Author(s):  
Melpomeni Peppa ◽  
Chrysi Koliaki ◽  
Eleni Boutati ◽  
Efstathios Garoflos ◽  
Athanasios Papaefstathiou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Postmenopausal Women ◽  
Lean Body Mass ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

Cardiometabolic risk in survivors of childhood cancer who received hematopoietic cell transplant (HCT)

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 6532-6532
Author(s):  
K. S. Baker ◽  
A. S. Kelly ◽  
A. Petryk ◽  
A. R. Sinaiko ◽  
L. M. Steffen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Childhood Cancer ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Fasting Glucose ◽  
Cardiometabolic Risk Factors ◽  
Healthy Sibling ◽  
Survivors Of Childhood Cancer

6532 Background: Evidence suggests that survivors of childhood cancer are at increased risk for cardiovascular disease (CVD) and type 2 diabetes with even higher risk in those who received HCT. The purpose of this study was to compare the cardiometabolic risk factor profile in HCT patients and healthy sibling controls. Methods: Measures of insulin resistance (euglycemic hyperinsulinemic clamp adjusted for lean body mass [Mlbm], low Mlbm represents insulin resistance), fasting glucose, insulin, lipids, anthropometry, blood pressure (BP), and carotid artery compliance and distensibility (lower values represent arterial stiffness) were determined in 87 children and young adults (current age 27.3 yr, 57% male) who had received HCT for hematologic malignancy during childhood (mean age at HCT 11.8 yr) and 55 healthy sibling controls (current age=25.2 yr, 51% male). Linear regression models were used to evaluate risk factors between groups after adjusting for age, gender, pubertal stage, body mass index (BMI), and carotid lumen diameter (stiffness measures only). Results: Metabolic syndrome (ATP III criteria for adults, modified criteria for children) was present in 13 (14.9%) HCT survivors and 4 (7.3%) controls (p=0.19). Thirty-one (35.6%) survivors and 9 (16.4%) controls had two or more components of the metabolic syndrome (p=0.11). There were no differences between groups for BMI, waist circumference, percent body fat, or BP. HCT survivors had higher triglycerides, fasting glucose and insulin, lower HDL cholesterol, arterial distensibility, and were more insulin resistant (Table). Conclusions: HCT survivors have increased cardiometabolic risk factors independent of obesity suggesting that cancer itself and/or associated treatment exposures have a direct influence on CVD risk and that early screening and management of cardiometabolic risk factors should be considered in HCT survivors. [Table: see text] No significant financial relationships to disclose.

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 Functional high-intensity exercise training ameliorates insulin resistance and cardiometabolic risk factors in type 2 diabetes

2018 ◽  
Vol 103 (7) ◽  
pp. 985-994 ◽  
Author(s):  
Ciarán E. Fealy ◽  
Stephan Nieuwoudt ◽  
Julie A. Foucher ◽  
Amanda R. Scelsi ◽  
Steven K. Malin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Exercise Training ◽  
High Intensity ◽  
Cardiometabolic Risk ◽  
High Intensity Exercise ◽  
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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