Prediction of resting energy expenditure in Italian older adults with severe obesity
BackgroundIn the last decade a large number of studies proposed and/or validated equations to estimate the Resting Energy Expenditure (REE) in adults and/or older adults, however, no equation currently available showed good accuracy for older adults with severe obesity. Thus, this study aimed to dev...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1283155/full |
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| author | Ana Lúcia Danielewicz Ana Lúcia Danielewicz Stefano Lazzer Stefano Lazzer Alice Marra Laura Abbruzzese Mattia D’Alleva Mattia D’Alleva Maria De Martino Miriam Isola Núbia Carelli Pereira Avelar Vanessa Amaral Mendonça Ana Cristina Rodrigues Lacerda Alessandro Sartorio |
| author_facet | Ana Lúcia Danielewicz Ana Lúcia Danielewicz Stefano Lazzer Stefano Lazzer Alice Marra Laura Abbruzzese Mattia D’Alleva Mattia D’Alleva Maria De Martino Miriam Isola Núbia Carelli Pereira Avelar Vanessa Amaral Mendonça Ana Cristina Rodrigues Lacerda Alessandro Sartorio |
| author_sort | Ana Lúcia Danielewicz |
| collection | DOAJ |
| description | BackgroundIn the last decade a large number of studies proposed and/or validated equations to estimate the Resting Energy Expenditure (REE) in adults and/or older adults, however, no equation currently available showed good accuracy for older adults with severe obesity. Thus, this study aimed to develop and validate new predictive equations for REE, based on data from the indirect calorimetry, in Italian older adults with severe obesity.MethodsA retrospective study was as conducted with 764 Caucasian older adults with severe obesity (age range: 60-74 years and BMI ≥ 35 kg/m/²). Four models were used to test the accuracy of anthropometry and body composition variables in multivariable prediction of REE. All models were derived by stepwise multiple regression analysis using a calibration group of 382 subjects [295 females and 87 males] and the equations were cross-validated in the remaining 382 subjects [295 females and 87 males] as validation group. The new prediction equations and the other published equations were tested using the Bland-Altman method. Prediction accuracy was defined as the percentage of subjects whose REE was predicted within ± 10% of measured REE.ResultsAll the equations analyzed predicted higher energy requirements for males than females, and most of them underestimated the energy requirement values of our sample. The highest accuracy values were observed in the new equations, with 62% in the anthropometric model and 63% in the body composition model.ConclusionAlthough the accuracy of our equations was slightly higher in comparison with the other taken into consideration, they cannot be considered completely satisfactory for predicting REE in Italians older adults with severe obesity. When predicting equations cannot guarantee precise or acceptable values of REE, the use of indirect calorimetry (if available) should be always recommended, especially in clinical practice. |
| first_indexed | 2024-03-11T11:44:15Z |
| format | Article |
| id | doaj.art-14967810f2514cb686cd385c371a14b6 |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-03-11T11:44:15Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Endocrinology |
| spelling | doaj.art-14967810f2514cb686cd385c371a14b62023-11-09T14:59:18ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-11-011410.3389/fendo.2023.12831551283155Prediction of resting energy expenditure in Italian older adults with severe obesityAna Lúcia Danielewicz0Ana Lúcia Danielewicz1Stefano Lazzer2Stefano Lazzer3Alice Marra4Laura Abbruzzese5Mattia D’Alleva6Mattia D’Alleva7Maria De Martino8Miriam Isola9Núbia Carelli Pereira Avelar10Vanessa Amaral Mendonça11Ana Cristina Rodrigues Lacerda12Alessandro Sartorio13Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-endocrinological Research, Piancavallo-Verbania, ItalyDepartment of Health Sciences, Graduate Program in Rehabilitation Sciences, Federal University of Santa Catarina, Araranguá, Santa Catarina, BrazilDepartment of Medicine, University of Udine, Udine, ItalySchool of Sport Science, University of Udine, Udine, ItalyIstituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-endocrinological Research, Piancavallo-Verbania, ItalyIstituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Division of Eating and Nutrition Disorders, Piancavallo-Verbania, ItalyDepartment of Medicine, University of Udine, Udine, ItalySchool of Sport Science, University of Udine, Udine, ItalyDepartment of Medicine, University of Udine, Udine, ItalyDepartment of Medicine, University of Udine, Udine, ItalyDepartment of Health Sciences, Graduate Program in Rehabilitation Sciences, Federal University of Santa Catarina, Araranguá, Santa Catarina, BrazilDepartment of Physiotherapy, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, BrazilDepartment of Physiotherapy, Federal University of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, BrazilIstituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-endocrinological Research, Piancavallo-Verbania, ItalyBackgroundIn the last decade a large number of studies proposed and/or validated equations to estimate the Resting Energy Expenditure (REE) in adults and/or older adults, however, no equation currently available showed good accuracy for older adults with severe obesity. Thus, this study aimed to develop and validate new predictive equations for REE, based on data from the indirect calorimetry, in Italian older adults with severe obesity.MethodsA retrospective study was as conducted with 764 Caucasian older adults with severe obesity (age range: 60-74 years and BMI ≥ 35 kg/m/²). Four models were used to test the accuracy of anthropometry and body composition variables in multivariable prediction of REE. All models were derived by stepwise multiple regression analysis using a calibration group of 382 subjects [295 females and 87 males] and the equations were cross-validated in the remaining 382 subjects [295 females and 87 males] as validation group. The new prediction equations and the other published equations were tested using the Bland-Altman method. Prediction accuracy was defined as the percentage of subjects whose REE was predicted within ± 10% of measured REE.ResultsAll the equations analyzed predicted higher energy requirements for males than females, and most of them underestimated the energy requirement values of our sample. The highest accuracy values were observed in the new equations, with 62% in the anthropometric model and 63% in the body composition model.ConclusionAlthough the accuracy of our equations was slightly higher in comparison with the other taken into consideration, they cannot be considered completely satisfactory for predicting REE in Italians older adults with severe obesity. When predicting equations cannot guarantee precise or acceptable values of REE, the use of indirect calorimetry (if available) should be always recommended, especially in clinical practice.https://www.frontiersin.org/articles/10.3389/fendo.2023.1283155/fullenergy expenditurepredictive equationsindirect calorimetryobesityolder adultsaging |
| spellingShingle | Ana Lúcia Danielewicz Ana Lúcia Danielewicz Stefano Lazzer Stefano Lazzer Alice Marra Laura Abbruzzese Mattia D’Alleva Mattia D’Alleva Maria De Martino Miriam Isola Núbia Carelli Pereira Avelar Vanessa Amaral Mendonça Ana Cristina Rodrigues Lacerda Alessandro Sartorio Prediction of resting energy expenditure in Italian older adults with severe obesity Frontiers in Endocrinology energy expenditure predictive equations indirect calorimetry obesity older adults aging |
| title | Prediction of resting energy expenditure in Italian older adults with severe obesity |
| title_full | Prediction of resting energy expenditure in Italian older adults with severe obesity |
| title_fullStr | Prediction of resting energy expenditure in Italian older adults with severe obesity |
| title_full_unstemmed | Prediction of resting energy expenditure in Italian older adults with severe obesity |
| title_short | Prediction of resting energy expenditure in Italian older adults with severe obesity |
| title_sort | prediction of resting energy expenditure in italian older adults with severe obesity |
| topic | energy expenditure predictive equations indirect calorimetry obesity older adults aging |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1283155/full |
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