Changes in Glucose Disposal After a Caloric Restriction-Induced Weight Loss Program in Obese Postmenopausal Women: Characteristics of Positive and Negative Responders

Obesity is a heterogeneous condition, since the metabolic profile may differ greatly from one individual to another. The objective of this study was to compare the effect of a 6-month diet-induced weight loss program on body composition and the metabolic profile in obese individuals displaying different obesity phenotypes. Secondary analyses were done on 129 obese (% body fat: 46% ± 4%) postmenopausal women (age: 57 ± 4 years). Outcome measures included body composition, body fat distribution, glucose homeostasis, fasting lipids, and blood pressure. Obesity phenotypes were determined based on lean body mass (LBM) index (LBMI = LBM/height2) and visceral fat (VF) accumulation, as follows: 1, lower VF and lower LBMI (n = 35); 2, lower VF and higher LBMI (n = 19); 3, higher VF and lower LBMI (n = 14); and 4, higher VF and higher LBMI (n = 61). All groups had significantly improved measures of body composition after the intervention (P < 0.0001). Greater decreases in LBM and LBMI were observed in the higher LBMI groups than in the lower LBMI groups (P < 0.0001). Similarly, decreases in VF were greater in the higher VF groups than in the lower VF groups (P < 0.05). Overall, fasting insulin levels and glucose disposal improved following the intervention, with higher LBMI groups showing a trend for greater improvements (P = 0.06 and 0.07, respectively). Overall, no difference was observed among the different obesity phenotypes regarding improvements in the metabolic profile in response to weight loss. Individuals displaying higher VF or higher LBMI at baseline experienced significantly greater decreases for these variables after the intervention.

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Effects of a 6-month caloric restriction induced-weight loss program in obese postmenopausal women with and without the metabolic syndrome

Menopause The Journal of The North American Menopause Society ◽

10.1097/gme.0000000000000862 ◽

2017 ◽

Vol 24 (8) ◽

pp. 908-915 ◽

Cited By ~ 3

Author(s):

Ahmed Ghachem ◽

Denis Prud’homme ◽

Rémi Rabasa-Lhoret ◽

Martin Brochu

Keyword(s):

Metabolic Syndrome ◽

Weight Loss ◽

Postmenopausal Women ◽

Caloric Restriction ◽

Weight Loss Program ◽

The Metabolic Syndrome

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“Taking Charge of One’s Life”: A Model for Weight Management Success

The Qualitative Report ◽

10.46743/2160-3715/2008.1604 ◽

2015 ◽

Author(s):

Marlene Adams

Keyword(s):

Weight Loss ◽

Grounded Theory ◽

Postmenopausal Women ◽

Weight Management ◽

Self Efficacy ◽

Weight Control ◽

Weight Loss Program ◽

Taking Charge ◽

Weight Loss Treatments ◽

Weight Loss Study

Obesity is a serious, prevalent, and refractory disorder that increases with age particularly in women who enroll in formal weight loss treatments. This study examined the processes used by obese postmenopausal women as they participated in a formal weight loss program. Using grounded theory, interviews were conducted with 14 women engaged in a formal weight loss study examining success with specific, targeted weight loss treatments based on one’s weight control self-efficacy typology. “Taking Charge of One’s Life” emerged as a model for weight management success, comprised of three phases: engaging, internalizing, and keeping one’s commitment. This study supports the unique, complex, and individualized nature of making a decision to lose weight and then maintaining one’s commitment to weight loss.

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P1548 Changes in left ventricular deformation with weight loss in obese adolescents with intellectual and developmental delays (IDD)

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jez319.969 ◽

2020 ◽

Vol 21 (Supplement_1) ◽

Author(s):

D Forsha ◽

L Ptomey ◽

T Johnson ◽

N Goth ◽

L Kuzava ◽

...

Keyword(s):

Weight Loss ◽

Strain Rate ◽

Caloric Restriction ◽

Cardiac Dysfunction ◽

Global Longitudinal Strain ◽

Left Ventricular ◽

Regression Modeling ◽

Weight Loss Program ◽

Global Strain ◽

Before And After

Abstract Funding Acknowledgements AHA Career Development grant Background Adolescents with IDD have twice the prevalence of obesity as their typically developed peers, leading to frequent early obesity-related subclinical cardiac dysfunction, detected by strain echo. The effects of weight loss on cardiac deformation are unknown in this population. Purpose To evaluate early cardiac dysfunction in overweight IDD adolescents before and after a 6-month caloric restriction-weight loss program. Methods Subjects with IDD co-enrolling in a weight loss program were consented for this strain imaging study, excluding those with congenital heart disease. An echo measuring LVEF (bullet), 2D speckle longitudinal LV global strain (GLS) and strain rate (GLSr) from 3 apical views and global circumferential strain from a parasternal short axis view at the paps (GCS) was performed at baseline and 6 months. Analysis included paired T-test and regression analysis, p ≤ 0.05 significant. Results Overweight (5) and obese (15) adolescents (40% female) had baseline LV strain measurements that were mildly diminished with increased baseline body weight predicting diminished GLS (P = 0.034) and GCS (P = 0.046) on regression modeling. After 6 months, weight and BMI decreased significantly with improvements in GLS and GCS and non-significant trends towards improvement in GLSr and early diastolic global strain rate. BMI change at 6 months predicted change in GLS (p = 0.015) and GCS (p = 0.0087) on regression modeling. At baseline, LVEF and LV end-diastolic volume were normal with no change over 6 months (p > 0.55). Conclusions Baseline abnormalities in LV deformation with preserved LVEF are present in this young, obese IDD population with improvements in BMI predicting those in GLS and GCS after a 6-month caloric restriction-weight loss program. These data provide compelling justification for larger studies in this population. n Baseline (mean ± SD) 6-mo. follow up 0-6 mo. change p-value Age (years) 20 17.0 ± 2.0 17.5 ± 2.1 0.5 ± 0.1 Weight (kg) 20 86.9 ± 22.2 83.1 ± 22.7 -3.7 ± 5.9 0.014 BMI (kg/m²) 20 32.2 ± 5.3 30.4 ± 5.7 -1.8 ± 2.2 0.0031 GLS (%) 20 16.9 ± 1.6 19.2 ± 2.7 2.4 ± 2.0 0.00023 GLSr 20 1.15 ± 0.018 1.22 ± 0.18 0.06 ± 0.16 0.096 EaGLSr 20 1.83 ± 0.038 2.01 ± 0.46 0.18 ± 0.45 0.098 GCS (%) 20 19.1 ± 2.3 22.0 ± 2.6 2.82 ± 2.6 0.00019 LV deformation before and after weight loss. GLS, GLSr, and GCS are reported as positive values (absolute values). Body Mass Index (BMI); Early Diastolic Global Longitudinal Strain Rate (EaGLSr)

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Association between Abdominal Fat (DXA) and Its Subcomponents (CT Scan) before and after Weight Loss in Obese Postmenopausal Women: A MONET Study

Journal of Obesity ◽

10.1155/2011/239516 ◽

2011 ◽

Vol 2011 ◽

pp. 1-6 ◽

Cited By ~ 4

Author(s):

Caroline Y. Doyon ◽

Martin Brochu ◽

Virginie Messier ◽

Marie-Ève Lavoie ◽

May Faraj ◽

...

Keyword(s):

Weight Loss ◽

Ct Scan ◽

Postmenopausal Women ◽

Caloric Restriction ◽

Subcutaneous Fat ◽

Abdominal Fat ◽

Radiation Doses ◽

Cross Sectional ◽

Before And After ◽

Cross Sectional Studies

Introduction. Subcutaneous fat (ScF) and visceral fat (VF) measurements using CT scan are expensive and may imply significant radiation doses. Cross-sectional studies using CT scan showed that ScF and VF are significantly correlated with abdominal fat measured by DXA (AF-DXA). The association has not been studied after a weight loss.Objective. To determine (1) the associations between AF-DXA and ScF and VF before and after weight loss and (2) the associations between their changes.Methods. 137 overweight/obese postmenopausal women were divided in two groups (1-caloric restriction or 2-caloric restriction + resistance training). AF was assessed using DXA and CT scan.Results. Correlations between AF-DXA and ScF (before:r=0.87, after;r=0.87;P<.01) and, AF-DXA and VF (before:r=0.61, after;r=0.69;P<.01) are not different before and after the weight loss. Correlations between delta AF-DXA and delta ScF (r=0.72;P<.01) or delta VF (r=0.51;P<.01) were found.Conclusion. The use of AF-DXA as a surrogate for VF after weight loss is questionable, but may be interesting for ScF.

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The Visceral Adiposity Index: Relationship with cardiometabolic risk factors in obese and overweight postmenopausal women – A MONET group study

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2012-0307 ◽

2013 ◽

Vol 38 (8) ◽

pp. 892-899 ◽

Cited By ~ 22

Author(s):

Belinda Elisha ◽

Virginie Messier ◽

Antony Karelis ◽

Lise Coderre ◽

Sophie Bernard ◽

...

Keyword(s):

Risk Factors ◽

Weight Loss ◽

Adipose Tissue ◽

Postmenopausal Women ◽

Cardiometabolic Risk ◽

Area Under The Curve ◽

Weight Loss Program ◽

Cardiometabolic Risk Factors ◽

Visceral Adiposity Index ◽

Visceral Adipose

A recent study suggested visceral adipose index (VAI) as an indicator of adipose tissue distribution and function associated with cardiometabolic risk. We aim to examine the association between VAI and visceral adipose tissue (VAT), insulin sensitivity, and a large panel of associated cardiometabolic risk factors, and to determine if changes in VAI after weight loss intervention will reflect changes in VAT. We performed a secondary analysis using the data of 99 overweight and postmenopausal women that completed a 6-month weight loss program (Montreal Ottawa New Emerging Team Study). VAI was calculated according to the equation by Amato et al. (2010; Diabetes Care, 33(4):920–922). At baseline, VAI was associated with VAT (r = 0.284, p < 0.01) but not with subcutaneous adipose tissue (SAT) while body mass index (BMI) and waist circumference (WC) were significantly related to both. BMI and WC demonstrated significantly stronger predictive value of VAT accumulation (area under the curve = 0.84 and 0.86, respectively) than VAI (area under the curve = 0.61; p < 0.01). However, VAT, BMI, WC, and VAI were similarly related to fasting insulin and glucose disposal rates. After a 6-month weight loss program, VAI decreased significantly and similarly in both intervention groups (p < 0.01). In addition, the percentage of change in VAI showed the significantly weakest correlation (r = 0.25) with the percentage of change in VAT than BMI (r = 0.56; p < 0.01 for r comparisons) and was not a significant predictor of interindividual percentage of change in VAT while BMI accounted for 33.7%. VAI is a weak indicator of VAT function and did not predict changes in VAT after weight loss. Furthermore, this index was not superior to BMI or WC. However, VAI is a good indicator of metabolic syndrome.

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