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Background/Objectives: Lipedema is a chronic adipose tissue disorder characterized by disproportionate fat accumulation and inflammation, predominantly affecting women. While recent evidence suggests a systemic pro-inflammatory state in lipedema, the role of diet in modulating inflammation remains underexplored. This study assessed the anti-inflammatory potential of a Mediterranean-style ketogenic diet and its effects after 7 months of adherence on systemic inflammation markers (CRP and IL-6) in women with lipedema (n = 24) and a control group with overweight/obesity (n = 24). Methods: The Dietary Inflammatory Index (DII) was used to characterize the inflammatory potential of the diet throughout the intervention. Dietary intake was analyzed pre- and post-intervention, and anthropometric, body composition, and biochemical parameters were measured. Results: Beyond its beneficial effects on body composition (significant reductions in body weight, fat, leg circumferences, and visceral fat), the intervention diet also demonstrated anti-inflammatory potential. In lipedema, baseline diet showed a pro-inflammatory DII profile (DII/day = 3.04), which was reduced by about 1.5 points after the intervention (p = 0.008). When expressed per 1000 kcal, the DII values were markedly lower for both baseline (DII = 0.22) and intervention diet (DII = ~0.01). Following the intervention diet, reduction in CRP (-0.39, p = 0.016) and IL-6 levels (-0.33, p = 0.034) in lipedema were observed. A significant positive association was observed between the intervention diet's DII and CRP (r = 0.55, p = 0.005), and between the baseline diet's DII and IL-6 (r = 0.50, p = 0.013) in lipedema group. Conclusions: These findings suggest that ketogenic diet rich in anti-inflammatory and antioxidant nutrients can reduce systemic inflammation in lipedema patients, independently of caloric restriction.
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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.
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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.
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