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Singhal V, Pedreira CC, Tuli S, Abou Haidar L, Lopez AL, Lauze M, Lee H, Bredella MA, Misra M. Metabolic Adaptation and Its Determinants in Adolescents Two Years After Sleeve Gastrectomy. Nutrients 2024; 17:75. [PMID: 39796509 PMCID: PMC11722852 DOI: 10.3390/nu17010075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2024] [Revised: 12/21/2024] [Accepted: 12/24/2024] [Indexed: 01/13/2025] Open
Abstract
Background/Objective: Weight loss is associated with reductions in resting energy expenditure (REE), which are impacted by changes in body composition following sleeve gastrectomy (SG). Current data regarding changes in measured REE (mREE) and metabolic adaptation in adolescents after SG are limited. We evaluated changes in mREE, metabolic adaptation, and body composition in youths after SG vs. non-surgical (NS) controls over two years. Methods: Youths 14-22 years old undergoing SG (n = 24) and NS controls with severe obesity (n = 28) were recruited. mREE was determined using indirect calorimetry. Predicted REE (pREE) was calculated using regression equation derived from baseline data of our cohort and used to calculate pREE at follow up. Metabolic adaptation was calculated as mREE - pREE. We normalized REE to fat-free mass (FFM) and total body weight (TBW). Dual energy X-ray absorptiometry was used to measure body composition. Measurements were performed at baseline and two-years. Results: Baseline age, sex, and BMI were similar between groups. Greater decreases in BMI in SG vs. NS (-12.4 (-14.4, -9.8) vs. 2.2 (0.3, 3.5) kg/m2, p < 0.0001) and within-group decreases in mREE (401.0 ± 69.5 kcal/d; p < 0.0001) in SG were seen. mREE/FFM decreased within the SG group (p = 0.006), the two-year change in mREE/FFM and mREE/TBW did not differ between groups (p = 0.14 and 0.24). There was no metabolic adaptation within SG. Conclusions: Despite significant decreases in BMI after SG in youths, no metabolic adaptation was present at two years. This implies that by two years, metabolism has reached a steady state and weight changes after this should be addressed in an unbiased way.
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Affiliation(s)
- Vibha Singhal
- Division of Pediatric Endocrinology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (V.S.); (C.C.P.)
- Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (S.T.); (L.A.H.); (A.L.L.); (M.L.)
- Department of Pediatrics, Mattel Childrens’ Hospital, UCLA, Los Angeles, CA 90095, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02114, USA
| | - Clarissa C. Pedreira
- Division of Pediatric Endocrinology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (V.S.); (C.C.P.)
- Department of Pediatrics, Harvard Medical School, Boston, MA 02114, USA
| | - Shubhangi Tuli
- Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (S.T.); (L.A.H.); (A.L.L.); (M.L.)
| | - Lea Abou Haidar
- Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (S.T.); (L.A.H.); (A.L.L.); (M.L.)
| | - Ana Lopez Lopez
- Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (S.T.); (L.A.H.); (A.L.L.); (M.L.)
| | - Meghan Lauze
- Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (S.T.); (L.A.H.); (A.L.L.); (M.L.)
| | - Hang Lee
- MGH Biostatistics Center, Harvard Medical School, Boston, MA 02114, USA;
| | - Miriam A. Bredella
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA;
- Department of Radiology, NYU Langone Health, New York, NY 10016, USA
| | - Madhusmita Misra
- Division of Pediatric Endocrinology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (V.S.); (C.C.P.)
- Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; (S.T.); (L.A.H.); (A.L.L.); (M.L.)
- Department of Pediatrics, Harvard Medical School, Boston, MA 02114, USA
- Department of Pediatrics, University of Virginia, Charlottesville, VA 22903, USA
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Falkenhain K, Martin CK, Ravussin E, Redman LM. Energy expenditure, metabolic adaptation, physical activity and energy intake following weight loss: comparison between bariatric surgery and low-calorie diet. Eur J Clin Nutr 2024:10.1038/s41430-024-01523-8. [PMID: 39478234 PMCID: PMC12041307 DOI: 10.1038/s41430-024-01523-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 10/08/2024] [Accepted: 10/09/2024] [Indexed: 03/20/2025]
Abstract
OBJECTIVE Bariatric surgery remains the most effective treatment to achieve substantial weight loss; however, total daily energy expenditure and physical activity changes in response to such interventions have been seldom explored. METHODS In this prospective observational study, total daily energy expenditure (TDEE) using doubly labeled water and physical activity (SenseWear armband) was assessed in 17 females (mean ± SD: 48.6 ± 9.7 kg/m2, 43 ± 12 years) at baseline and 8 and 52 weeks following either bariatric surgery (BSG, N = 9) or a low-calorie diet (LCD, N = 8). Energy intake was assessed using the intake-balance method. RESULTS After 8 weeks, weight loss was 16.0 ± 3.5 kg and TDEE decreased by 552 ± 319 kcal/d in BSG (P < 0.001) compared to 8.8 ± 3.4 kg and 256 ± 239 kcal/d in LCD (P < 0.05). After 52 weeks, weight loss was 44.3 ± 16.4 kg and TDEE decreased by 583 ± 418 kcal/d (P < 0.001), compared to 4.3 ± 6.7 kg and 84 ± 285 kcal/d in LCD (P > 0.05). TDEE was lower than predicted in BSG at 8 (P = 0.03) but not 52 weeks (P = 0.77). There was no evidence of metabolic adaptation in LCD. Average daily energy intake in BSG was 1403 ± 245 kcal/d compared to 2545 ± 398 kcal/d in LCD (P < 0.001). In BSG, step count and physical activity minutes were increased at 52 weeks compared to baseline (P = 0.03), whereas no significant changes were observed in LCD. CONCLUSION Bariatric surgery-induced weight loss decreased TDEE at 8 weeks and 1 year, resulting in metabolic adaptation after 8 weeks that was reversed at 1 year. These changes were accompanied by an increase in physical activity.
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Affiliation(s)
- Kaja Falkenhain
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Leanne M Redman
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
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Malatesta D, Favre J, Ulrich B, Hans D, Suter M, Favre L, Fernández Menéndez A. Effect of very large body mass loss on energetics, mechanics and efficiency of walking in adults with obesity: mass-driven versus behavioural adaptations. J Physiol 2021; 600:979-996. [PMID: 34505286 PMCID: PMC9293213 DOI: 10.1113/jp281710] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 08/26/2021] [Indexed: 11/18/2022] Open
Abstract
Abstract Understanding the mechanisms involved in the higher energy cost of walking (NCw: the energy expenditure above resting per unit distance) in adults with obesity is pivotal to optimizing the use of walking in weight management programmes. Therefore, this study aimed to investigate the mechanics, energetics and mechanical efficiency of walking after a large body mass loss induced by bariatric surgery in individuals with obesity. Nine adults (39.5 ± 8.6 year; BMI: 42.7 ± 4.6 kg m–2) walked at five fixed speeds before (baseline) and after the bariatric surgery (post 1 and post 2). Gas exchanges were measured to obtain NCw. A motion analysis system and instrumented treadmill were combined to assess total mechanical work (Wtot). Mechanical efficiency (Wtot NCw–1) was also calculated. Participants lost 25.7 ± 3.4% of their body mass at post 1 (6.6 months; P < 0.001) and 6.1 ± 4.9% more at post 2 (12 months; P = 0.014). Mass‐normalized NCw was similar between baseline and post 1 and decreased at post 2 compared to that at baseline (−6.2 ± 2.7%) and post 1 (−8.1 ± 1.9%; P ≤ 0.007). No difference was found in mass‐normalized Wtot during follow‐up (P = 0.36). Mechanical efficiency was similar at post 1 and post 2 when compared to that at baseline (P ≥ 0.19), but it was higher (+14.1 ± 4.6%) at post 2 than at post 1 (P = 0.013). These findings showed that after a very large body mass loss, individuals with obesity may reorganize their walking pattern into a gait more similar to that of lean adults, thus decreasing their NCw by making their muscles work more efficiently.
![]() Key points A higher net (above resting) energy cost of walking (lower gait economy) is observed in adults with obesity compared to lean individuals. Understanding the mechanisms (i.e. mass driven, gait pattern and behavioural changes) involved in this extra cost of walking in adults with obesity is pivotal to optimizing the use of walking to promote daily physical activity and improve health in these individuals. We found that very large weight loss induced by bariatric surgery significantly decreased the energy cost of walking per kg of body mass after 1 year with similar total mechanical work per kg of body mass, resulting in an increased mechanical efficiency of walking. Individuals with obesity may reorganize their walking pattern into a gait more similar to that of adults of normal body mass, thus decreasing their energy cost of walking by making their muscles work more efficiently.
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Affiliation(s)
- Davide Malatesta
- Institute of Sport Sciences of the University of Lausanne (ISSUL), University of Lausanne, Lausanne, Switzerland
| | - Julien Favre
- Swiss BioMotion Lab, Department of Musculoskeletal Medicine, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
| | - Baptiste Ulrich
- Swiss BioMotion Lab, Department of Musculoskeletal Medicine, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
| | - Didier Hans
- Center for Bone Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Michel Suter
- CHUV, Service de chirurgie viscérale, Bâtiment hospitalier du CHUV, Lausanne, Switzerland
| | - Lucie Favre
- Consultation de prévention et traitement de l'obésité, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Aitor Fernández Menéndez
- Institute of Sport Sciences of the University of Lausanne (ISSUL), University of Lausanne, Lausanne, Switzerland
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[Body composition assessment before and after weight loss following a Roux-en-Y gastric bypass. Are bioimpedanciometry estimations reliable?]. NUTR HOSP 2020; 37:1150-1156. [PMID: 33119392 DOI: 10.20960/nh.02942] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Introduction Introduction: in patients with severe and morbid obesity it has been observed that bioimpedance (BIA) assessment generates an underestimation of fat mass (FM) and weight loss as FM after bariatric surgery, overestimating the loss of fat-free mass (FFM) and muscle mass. Objective: to evaluate the reliability of bioelectrical impedance analysis (BIA) to estimate total body water (TBW), fat-free mass (FFM), fat mass (FM), and its changes after 6 months of a Roux-en-Y gastric bypass (RYGBP), in patients with severe and morbid obesity. Methods: thirty-six patients approved for RYGBP were prospectively studied. TBW was measured by deuterium (D), and FM and FFM were calculated. A dual-frequency BIA device (5 and 200 kHz) (Bodystat Dualscan®) was used to estimate FM, FFM, TBW, extracellular water (ECW), intracellular water (ICW), and ECW/ICW ratio. Results: before RYGBP, BIA overestimated TBW by 2.6 ± 4.3 L (p = 0.002) and FFM by 3.5 ± 5.7 kg (p = 0.002), and underestimated FM% by 2.98 ± 4.7% (p = 0.002). The ECW/ICW ratio showed a significant and positive correlation with the difference BIA-D for FFM (r = 0.49; p = 0.002). After surgery, the differences between BIA and D were not significant, and the estimation error of FFM did not correlate with the ECW/ICW ratio. Conclusions: BIA generates an underestimation of FM as reported in patients with severe and morbid obesity, which is attenuated after weight reduction, underestimating weight loss as FM and overestimating FFM loss. Future research may assess whether these errors are reproduced by other BIA devices.
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