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Jeziorek M, Wronowicz J, Janek Ł, Kujawa K, Szuba A. Development of New Predictive Equations for the Resting Metabolic Rate (RMR) of Women with Lipedema. Metabolites 2024; 14:235. [PMID: 38668363 PMCID: PMC11052101 DOI: 10.3390/metabo14040235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/13/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
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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Affiliation(s)
- Małgorzata Jeziorek
- Department of Dietetics and Bromatology, Faculty of Pharmacy, Wroclaw Medical University, 50-367 Wroclaw, Poland
| | - Jakub Wronowicz
- Statistical Analysis Center, Wroclaw Medical University, 50-372 Wroclaw, Poland; (J.W.); (Ł.J.); (K.K.)
| | - Łucja Janek
- Statistical Analysis Center, Wroclaw Medical University, 50-372 Wroclaw, Poland; (J.W.); (Ł.J.); (K.K.)
| | - Krzysztof Kujawa
- Statistical Analysis Center, Wroclaw Medical University, 50-372 Wroclaw, Poland; (J.W.); (Ł.J.); (K.K.)
| | - Andrzej Szuba
- Department of Angiology and Internal Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland;
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Jeziorek M, Szuba A, Kujawa K, Regulska-Ilow B. Comparison of Actual and Predicted Resting Metabolic Rate in Women with Lipedema. Lymphat Res Biol 2023. [PMID: 36662587 DOI: 10.1089/lrb.2022.0084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
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. 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 body composition parameters, body mass index, and aRMR. Methods and Results: A total of 108 women diagnosed with lipedema were enrolled in the study. aRMR was obtained by indirect calorimetry (IC) using FitMate WM metabolic system (Cosmed, Rome, Italy). pRMR was estimated with predictive equations and bioelectric impedance analysis (BIA). All body composition parameters were based on BIA. The mean aRMR in the study group was 1705.2 ± 320.7 kcal/day. This study found the agreement of predictive equations compared to IC is low (<60%). Most methods of predicted RMR measurement used in our study significantly underpredicted aRMR in patients with lipedema. Therefore, the most applied equations remain useless in clinical practice in this specific population due to large individual differences among the studied women. Conclusions: IC is the best tool to evaluate RMR in evaluated patients with lipedema. It is necessary to propose a new equation to RMR determination in clinical practice.
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Affiliation(s)
- Małgorzata Jeziorek
- Department of Dietetics and Bromatology, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw, Poland
| | - Andrzej Szuba
- Department of Angiology, Hypertension & Diabetology, Wroclaw Medical University, Wroclaw, Poland
| | - Krzysztof Kujawa
- Statistical Analysis Center, Wroclaw Medical University, Wroclaw, Poland
| | - Bożena Regulska-Ilow
- Department of Dietetics and Bromatology, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw, Poland
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Comparison of Various Predictive Energy Equations for Female University Students With Measured Basal Metabolic Rate. TOP CLIN NUTR 2022. [DOI: 10.1097/tin.0000000000000282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Fairoosa P, Lanerolle P, De Lanerolle-Dias M, Wickramasinghe VP, Waidyatilaka I. Development of a New Equation for the Prediction of Resting Metabolic Rate in Sri Lankan Adults. Int J Endocrinol 2021; 2021:4170137. [PMID: 33542730 PMCID: PMC7840262 DOI: 10.1155/2021/4170137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 12/27/2020] [Accepted: 01/03/2021] [Indexed: 11/22/2022] Open
Abstract
Resting metabolic rate (RMR) is the key determinant of the energy requirement of an individual. Measurement of RMR by indirect calorimetry is not feasible in field settings and therefore equation-based calculations are used. Since a valid equation is not available for Sri Lankans, it is important to develop a new population-specific equation for field use. The study objective was to develop a new equation for the prediction of RMR in healthy Sri Lankans using a reference method, indirect calorimetry. RMR data were collected from fifty-seven (male 27) adults aged 19 to 60 years. They were randomly assigned to validation (n = 28) and cross-validation (n = 19) groups using the statistical package R (version 3.6.3). Height, weight, and RMR were measured. Multivariable fractional polynomials (MFP) were used to determine explanatory variables and their functional forms for the model. A variable shrinkage method was used to find the best fit predictor coefficients of the equation. The developed equation was cross-validated on an independent group. Weight and sex code (male = 1; female = 0) were identified as reliable independent variables. The new equation developed was RMR (kcal/day) = 284.5 + (13.2 x weight) + (133.0 x sex code). Independent variables of the prediction equation were able to predict 88.5% of the variance. Root mean square error (RMSE) of the prediction equation in validation and cross-validation was 88.11 kcal/day and 79.03 kcal/day, respectively. The equation developed in this study is suitable for predicting RMR in Sri Lankan adults.
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Affiliation(s)
- Pathima Fairoosa
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, PO Box 271, Kynsey Road, Colombo 8, Sri Lanka
| | - Pulani Lanerolle
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, PO Box 271, Kynsey Road, Colombo 8, Sri Lanka
| | - Maduka De Lanerolle-Dias
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, PO Box 271, Kynsey Road, Colombo 8, Sri Lanka
| | - V. Pujitha Wickramasinghe
- Department of Paediatrics, Faculty of Medicine, University of Colombo, PO Box 271, Kynsey Road, Colombo 8, Sri Lanka
| | - Indu Waidyatilaka
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, PO Box 271, Kynsey Road, Colombo 8, Sri Lanka
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Chase KL, Patek KT, Walker JL, Mettler JA. Predicting Resting Metabolic Rate with Easily Obtained Measures: The Influence of Body Circumference. TRANSLATIONAL JOURNAL OF THE AMERICAN COLLEGE OF SPORTS MEDICINE 2021. [DOI: 10.1249/tjx.0000000000000162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Marra M, Sammarco R, Cioffi I, Morlino D, Di Vincenzo O, Speranza E, Pasanisi F. New predictive equations for estimating resting energy expenditure in subjects with normal weight and overweight. Nutrition 2020; 84:111105. [PMID: 33477001 DOI: 10.1016/j.nut.2020.111105] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/27/2020] [Accepted: 11/23/2020] [Indexed: 01/10/2023]
Abstract
OBJECTIVE The aim of this study was to develop and validate new predictive equations for estimating resting energy expenditure (REE) in subjects with normal weight and overweight, considering anthropometric parameters as well as raw variables from bioimpedance analysis (BIA). METHODS Adult participants with normal weight and overweight were recruited and randomly split into calibration and validation groups. Indirect calorimetry (IC) and BIA were performed in all subjects. New predictive equations were developed using the following models: model 1 with age, weight, stature, and body mass index (BMI) as predictors; and model 2: model 1 + raw BIA variables (bioimpedance index and phase angle). The accuracy of the new equations at both the group (bias) and individual (within ±10%) levels was tested in the validation group. Three published predictive equations were also compared, with the REE values measured by IC. RESULTS A total of 2483 adults were included for developing and validating the new equations. All selected formulas, including the new ones, showed a bias of <5% in estimating REE at the group level. Accuracy at the individual level was slightly higher for the new equations, especially for the equation based on raw BIA variables (men = 70.3%; women = 72.3%). CONCLUSIONS Compared to the equations in the literature, the new equations showed good accuracy at both the group and individual levels, with a slight improvement in individual accuracy for the formula including raw BIA variables. However, future research is required to verify the role of the raw BIA variables in predicting REE in subjects with normal weight and overweight.
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Affiliation(s)
- Maurizio Marra
- Department of Clinical Medicine and Surgery, University Federico II, Naples, Italy.
| | - Rosa Sammarco
- Department of Clinical Medicine and Surgery, University Federico II, Naples, Italy
| | - Iolanda Cioffi
- Department of Clinical Medicine and Surgery, University Federico II, Naples, Italy
| | - Delia Morlino
- Department of Clinical Medicine and Surgery, University Federico II, Naples, Italy
| | - Olivia Di Vincenzo
- Department of Clinical Medicine and Surgery, University Federico II, Naples, Italy
| | - Enza Speranza
- Department of Clinical Medicine and Surgery, University Federico II, Naples, Italy
| | - Fabrizio Pasanisi
- Department of Clinical Medicine and Surgery, University Federico II, Naples, Italy
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Ebaditabar M, Babaei N, Davarzani S, Imani H, Soares MJ, Shab-Bidar S. Lack of a relationship between vitamin D status and resting metabolic rate in Iranian adults. Am J Hum Biol 2020; 33:e23543. [PMID: 33274831 DOI: 10.1002/ajhb.23543] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/19/2020] [Accepted: 11/19/2020] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES Studies suggest a positive relationship between 25-hydroxy vitamin D (25(OH)D)) and resting metabolic rate (RMR). We aimed to determine whether this relationship was also true of populations with very low vitamin D status. METHODS Fat mass (FM) and fat free mass (FFM) were determined from multifrequency bioimpedance analysis (InBody 720, Korea). RMR was based on indirect calorimetry (Cortex Metalyser 3B, Germany). Fasting blood measurements of 25(OH)D concentration, glucose and triglycerides were measured. Data were analyzed separately on men and women by tertile of vitamin D status and multiple linear regression analysis. RESULTS Two hundred and sixty-three subjects (115 males; 148 females) with a mean age of 37 years and mean %body fat of 30.5% were studied. In women but not men, age, body weight, waist circumference, FM, and FFM increased significantly across tertiles of 25(OH)D. However, there was no difference in unadjusted or adjusted RMR across tertiles of 25OHD in both women and men. Stepwise forward regression analysis showed that age and FFM in men, age and FM in women but not by 25(OH)D, were determinants of RMR. In addition, RMR adjusted for age, sex, FM, FFM and triglyceride-glucose index did not relate to 25(OH)D when linear (r = 0, P = .98), quadratic (r = 0.008, P = .34), or cubic (r = 0.010, P = .43) relationships were tested. CONCLUSIONS Residual variation in RMR did not relate to vitamin D status in a group of Iranian adults with very low vitamin D status. Future studies could examine whether such a relationship holds true, after the normalization of vitamin D status.
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Affiliation(s)
- Mojdeh Ebaditabar
- Community Nutrition Department, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Nadia Babaei
- Community Nutrition Department, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Samira Davarzani
- Community Nutrition Department, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Hossein Imani
- Clinical Nutrition Department, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Mario J Soares
- Nutrition & Dietetics, School of Public Health, Curtin Health Innovation Research Institute-Metabolic Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Sakineh Shab-Bidar
- Community Nutrition Department, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
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