Your search

Background: An adequate dietary energy supply is particularly important in patients with lipedema as it promotes weight and fat loss. Accurate estimation of resting metabolic rate (RMR) allows implementing a proper calorie restriction diet in patients with lipedema. Therefore, an accurate assessment of energy demand in patients with lipedema is crucial in clinical practice. Our study aimed to compare actual resting metabolic rate (aRMR) with predicted resting metabolic rate (pRMR) in women with lipedema and to determine the association between individual anthropometric measurements and aRMR.Methods: A total of 108 women diagnosed with lipedema were enrolled in the study. aRMR was measured by indirect calorimetry (IC) using FitMate WM metabolic system (Cosmed, Rome, Italy). pRMR was estimated with predictive equations and BIA. All anthropometric measurements were based on BIA (bioelectric impedance analysis).Results: The mean aRMR in the study group was 1705.2 ± 320.7 kcal/day. Most methods of predicted RMR measurement used in our study significantly underpredicted aRMR in patients with lipedema. We reported statistically significant high correlations between all anthropometric measurements and aRMR/pRMR and a moderate correlation between visceral fat level (VFL) and aRMR. Conclusions: aRMR in patients with lipedema calculated with predictive equations was significantly lower than aRMR measured with other methods. This study found the agreement of predictive equations compared to IC is low (<60%). Fat-free mass (FFM) is a stronger determinant of RMR in patients with lipedema than fat mass.

This study aimed to develop a novel predictive equation for calculating resting metabolic rate (RMR) in women with lipedema. We recruited 119 women diagnosed with lipedema from the Angiology Outpatient Clinic at Wroclaw Medical University, Poland. RMR was assessed using indirect calorimetry, while body composition and anthropometric measurements were conducted using standardized protocols. Due to multicollinearity among predictors, classical multiple regression was deemed inadequate for developing the new equation. Therefore, we employed machine learning techniques, utilizing principal component analysis (PCA) for dimensionality reduction and predictor selection. Regression models, including support vector regression (SVR), random forest regression (RFR), and k-nearest neighbor (kNN) were evaluated in Python's scikit-learn framework, with hyperparameter tuning via GridSearchCV. Model performance was assessed through mean absolute percentage error (MAPE) and cross-validation, complemented by Bland-Altman plots for method comparison. A novel equation incorporating body composition parameters was developed, addressing a gap in accurate RMR prediction methods. By incorporating measurements of body circumference and body composition parameters alongside traditional predictors, the model's accuracy was improved. The segmented regression model outperformed others, achieving an MAPE of 10.78%. The proposed predictive equation for RMR offers a practical tool for personalized treatment planning in patients with lipedema.

The aim of this study was to evaluate alterations in blood parameters after a low-carbohydrate high-fat (LCHF) diet in women with lipedema in comparison to overweight or obese women. A total of 115 women were classified into two groups: the lipedema group and the overweight/obesity group. Both study groups followed the caloric-restricted LCHF diet for 7 months. A total of 48 women completed the study. A reduction in body weight was observed in both study groups. A significant decrease in triglycerides and an increase in HDL-C concentrations were observed in both study groups. Despite the increase in the concentration of LDL-C observed in the lipedema group, changes in LDL-C differed between individual patients. Improvements in liver parameters, glucose tolerance, and a decrease in fasting insulin levels were observed, although they were less pronounced in the lipedema group than in the overweight/obesity group. Kidney and thyroid functions were similar before and after the LCHF diet in both groups. The LCHF diet may be a valuable nutritional strategy for lipedema and overweight/obese women, with a beneficial effect on weight, glucose profile, liver function, the concentration of triglycerides, and HDL-C and with no effect on kidney and thyroid function.

BACKGROUND: Lipedema is characterized by the painful abnormal deposition of adipose tissue in the lower limbs and is often misdiagnosed as obesity. Considering the numerous bothersome physical symptoms of lipedema, women with lipedema may have greater disability and emotional problems than women with lifestyle-induced obesity. OBJECTIVES: Our study aims to assess disability, anxiety and depression symptoms in women with lipedema compared to women with overweight/obesity. MATERIAL AND METHODS: Women with lipedema (n = 45, with a mean age of 41 years) and women who are overweight/obese (n = 43, with a mean age of 44.95 years) were asked to complete the following questionnaires: The World Health Organization Disability Assessment Schedule (WHO-DAS II), Beck's Depression Inventory - II (BDI-II), and The Hospital Anxiety and Depression Scale (HADS). RESULTS: Despite the higher BMI in the overweight/obesity group, the group with lipedema was more disabled in numerous domains of the WHO-DAS II questionnaire, including Life activities - domestic, work and school responsibilities and Participation in society When the influence of BMI was adjusted, a difference in the domain of Mobility was also present. The study groups did not differ in anxiety and depression symptoms. CONCLUSIONS: We showed that behavioral impairment was the main factor affecting functioning in women with lipedema. Emotional symptoms did not differentiate the study groups. Leg volumes and adipose tissue pain intensity were associated with greater disability in women with lipedema, and should be considered in managing women with this condition and in future research estimating the effectiveness of lipedema treatment.

This study aimed to assess the potential benefits of a low-carbohydrate, high-fat (LCHF) diet on body composition, leg volume, and pain reduction in women with lipedema compared to overweight or women with obesity. The study included 113 female participants, 56 with lipedema and 57 with overweight/obesity (BMI >25 kg/m2) without lipedema. All subjects were prescribed a low-carbohydrate, high-fat (LCHF) diet with anti-inflammatory properties to adhere to for a duration of 7 months. Measurements of anthropometry, body weight, composition, and pain (VAS) were conducted at the study’s commencement and conclusion. 52 participants completed the study. Both groups experienced a similar weight reduction, amounting to 12.9% compared to the baseline (−10.8 kg vs. −11.9 kg; p = 0.14, for lipedema and women with overweight/obesity, respectively). The most reduction was in body fat mass. Improvements in various parameters were observed, except for ankle circumferences, which decreased more in the lipedema group. Lipedema participants showed significantly reduced pain levels following the LCHF diet (4.6 ± 2.6 vs 3.0 ± 2.3; ). The LCHF diet holds promise for weight loss, body fat reduction, leg volume management, and pain alleviation in women with lipedema. These findings provide valuable insights into potential therapeutic strategies for lipedema management.