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      Prediction of resting energy expenditure in Italian older adults with severe obesity

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          Abstract

          Background

          In 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.

          Methods

          A 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.

          Results

          All 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.

          Conclusion

          Although 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.

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          Most cited references44

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          STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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            New methods for calculating metabolic rate with special reference to protein metabolism.

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              Obesity and nonalcoholic fatty liver disease: From pathophysiology to therapeutics

              The obesity epidemic is closely associated with the rising prevalence and severity of nonalcoholic fatty liver disease (NAFLD): obesity has been linked not only with simple steatosis (SS), but also with advanced disease, i.e., nonalcoholic steatohepatitis (NASH), NASH-related cirrhosis and hepatocellular carcinoma. As a consequence, apart from increasing all-cause mortality, obesity seems to increase liver-specific mortality in NAFLD patients. Given the lack of approved pharmacological interventions for NAFLD, targeting obesity is a rational option for its management. As the first step, lifestyle modification (diet and exercise) is recommended, although it is difficult to achieve and sustain. When the first step fails, adding pharmacotherapy is recommended. Several anti-obesity medications have been investigated in NAFLD (e.g., orlistat, glucagon-like peptide-1 analogs), other anti-obesity medications have not been investigated (e.g., lorcaserin, phentermine hydrochloric, phentermine/topiramate and naltrexone/bupropion), whereas some medications with weight-lowering efficacy have not been approved for obesity (e.g., sodium-glucose cotransporter-2 inhibitors, farnesoid X receptor ligands). If the combination of lifestyle modification and pharmacotherapy also fails, then bariatric surgery should be considered in selected morbidly obese individuals. This review summarizes best evidence linking obesity with NAFLD and presents related therapeutic options.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2417969Role: Role: Role: Role: Role: Role: Role: Role:
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                URI : https://loop.frontiersin.org/people/688224Role: Role: Role: Role: Role: Role: Role: Role: Role: Role: Role: Role:
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                08 November 2023
                2023
                : 14
                : 1283155
                Affiliations
                [1] 1 Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-endocrinological Research , Piancavallo-Verbania, Italy
                [2] 2 Department of Health Sciences, Graduate Program in Rehabilitation Sciences, Federal University of Santa Catarina , Araranguá, Santa Catarina, Brazil
                [3] 3 Department of Medicine, University of Udine , Udine, Italy
                [4] 4 School of Sport Science, University of Udine , Udine, Italy
                [5] 5 Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Division of Eating and Nutrition Disorders , Piancavallo-Verbania, Italy
                [6] 6 Department of Physiotherapy, Federal University of the Jequitinhonha and Mucuri Valleys , Diamantina, Minas Gerais, Brazil
                Author notes

                Edited by: Xilin Yang, Tianjin Medical University, China

                Reviewed by: Ann Kristine Jansen, Federal University of Minas Gerais, Brazil; Iolanda Cioffi, University of Milan, Italy

                *Correspondence: Stefano Lazzer, stefano.lazzer@ 123456uniud.it

                †ORCID: Ana Lúcia Danielewicz, orcid.org/0000-0003-1563-0470; Stefano Lazzer, orcid.org/0000-0003-0067-2221; Alice Marra, orcid.org/0000-0002-3181-634X; Laura Abbruzzese, orcid.org/0000-0003-3855-1599; Mattia D’Alleva, orcid.org/0000-0001-9179-1618; Maria De Martino, orcid.org/0000-0002-0445-9578; Miriam Isola, orcid.org/0000-0002-6391-1720; Núbia Carelli Pereira de Avelar, orcid.org/0000-0003-4212-4039; Vanessa Amaral Mendonça, orcid.org/0000-0002-1696-6091; Ana Cristina Rodrigues Lacerda, orcid.org/0000-0001-5366-3754; Alessandro Sartorio, orcid.org/0000-0002-9620-4133

                Article
                10.3389/fendo.2023.1283155
                10663312
                21aef52e-47de-4931-b2f9-0c7b03186077
                Copyright © 2023 Danielewicz, Lazzer, Marra, Abbruzzese, D’Alleva, Martino, Isola, Avelar, Mendonça, Lacerda and Sartorio

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 August 2023
                : 23 October 2023
                Page count
                Figures: 1, Tables: 5, Equations: 0, References: 46, Pages: 10, Words: 4772
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Italian Ministry of Health - ricerca corrente. We also thank CNPq for Universal grant - CNPq-402574/2021-4.
                Categories
                Endocrinology
                Original Research
                Custom metadata
                Endocrinology of Aging

                Endocrinology & Diabetes
                energy expenditure,predictive equations,indirect calorimetry,obesity,older adults,aging

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