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Barros CADA, Gonçalves Panissa VL, Ferreira TADP, Cardoso LKDA, de Oliveira JPR, Vieira MM, Torres ALDC, Miranda RMDP, Rossi PAQ, Rossi FE. Influence of short-time resistance training on appetite and energy intake in young women with and without obesity. Physiol Behav 2024; 286:114667. [PMID: 39151651 DOI: 10.1016/j.physbeh.2024.114667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/11/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
The aim of this study was to investigate the effect of 6-weeks resistance training (RT) on appetite, energy intake and body composition in young women with and without obesity, and to examine the relationship between these variables. Thirty-five young women were divided according to the amount of body fat [with obesity (n = 16) and without obesity (n = 19)]. Appetite was assessed through self-reported hunger, fullness, desire to eat, satiety quotient, food frequency diary and motivations to eat palatable food (power of food scale) in both fasted and fed states (after a standardized breakfast). Energy intake and body composition were evaluated at pre- and post-6 weeks of RT. Results showed that self-reported hunger increased significantly in both fasted and fed states (p = 0.007 and p = 0.029, respectively), while self-reported fullness decreased at the fasted state (p = 0.030) in both groups. There were no significant effects for desire to eat fatty, sweet, savory and salty foods, motivation to eat palatable foods, or for total energy intake. Food frequency analysis indicated a decrease in consumption of soup and past (p = 0.045), vegetables and eggs (p = 0.034), and leafy vegetables (p = 0.022) in both groups. Fat-free mass increased significantly in both groups (p = 0.011 and p = 0.003), while fat mass did not show significant changes. There were no correlations between changes in appetite/energy intake and changes in body composition. In conclusion, following the 6-week RT program, both women with and without obesity exhibited increased self-reported hunger alongside decreased fullness, suggesting an increase in orexigenic drive. However, neither group showed an increase in energy intake and fat mass, while both groups experienced an increase in fat-free mass. Registered under Brazilian Registry of Clinical Trials n°. RBR-1024f4qs.
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Affiliation(s)
- Clara Andressa de Araujo Barros
- Postgraduate student in Science and Health, Federal University of Piauí (UFPI), Teresina-PI, Brazil; Immunometabolism of Skeletal Muscle and Exercise Research Group, Department of Physical Education, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | - Valéria Leme Gonçalves Panissa
- Laboratory of Toxicology School of Medical Science, University of Campinas, Campinas, SP, Brazil; Exercise and Immunometabolism Research Group, Department of Physical Education, Faculty of Sciences and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | - Thaís Alves de Paiva Ferreira
- Postgraduate student in Science and Health, Federal University of Piauí (UFPI), Teresina-PI, Brazil; Immunometabolism of Skeletal Muscle and Exercise Research Group, Department of Physical Education, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | - Larissa Kelly de Araújo Cardoso
- Immunometabolism of Skeletal Muscle and Exercise Research Group, Department of Physical Education, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | | | - Matheus Mesquita Vieira
- Immunometabolism of Skeletal Muscle and Exercise Research Group, Department of Physical Education, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil; Department of Physical Education, Federal University of Piaui (UFPI), Teresina-PI, Brazil; Postgraduate student in Movement Sciences - Interunits, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | - Aline Leal de Carvalho Torres
- Immunometabolism of Skeletal Muscle and Exercise Research Group, Department of Physical Education, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | - Rodrigo Matheus da Paz Miranda
- Immunometabolism of Skeletal Muscle and Exercise Research Group, Department of Physical Education, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | - Priscila Almeida Queiroz Rossi
- Exercise and Immunometabolism Research Group, Department of Physical Education, Faculty of Sciences and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil
| | - Fabrício Eduardo Rossi
- Postgraduate student in Science and Health, Federal University of Piauí (UFPI), Teresina-PI, Brazil; Immunometabolism of Skeletal Muscle and Exercise Research Group, Department of Physical Education, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil; Professor at Graduate Program in Movement Science - Interunits, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil and Professor at Graduate Program in Science and Health, Federal University of Piauí (UFPI), Teresina-PI, Brazil.
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Carneiro MAS, Nunes PRP, Souza MVC, Assumpção CO, Orsatti FL. Full-body resistance training promotes greater fat mass loss than a split-body routine in well-trained males: A randomized trial. Eur J Sport Sci 2024; 24:846-854. [PMID: 38874955 PMCID: PMC11236007 DOI: 10.1002/ejsc.12104] [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: 07/03/2023] [Revised: 02/09/2024] [Accepted: 03/15/2024] [Indexed: 06/15/2024]
Abstract
While significant progress has been made in understanding the resistance training (RT) strategy for muscle hypertrophy increase, there remains limited knowledge about its impact on fat mass loss. This study aimed to investigate whether full-body is superior to split-body routine in promoting fat mass loss among well-trained males. Twenty-three participants were randomly assigned to 1 of 2 groups: full-body (n = 11, training muscle groups 5 days per week) and split-body (n = 12, training muscle groups 1 day per week). Both groups performed a weekly set volume-matched condition (75 sets/week, 8-12 repetition maximum at 70%-80 % of 1RM) for 8 weeks, 5 days per week with differences only in the routine. Whole-body and regional fat were assessed using DXA at the beginning and at the end of the study. Full-body RT elicited greater losses compared to split-body in whole-body fat mass (-0.775 ± 1.120 kg vs. +0.317 ± 1.260 kg; p = 0.040), upper-limb fat mass (-0.085 ± 0.118 kg vs. +0.066 ± 0.162 kg; p = 0.019), gynoid fat mass (-0.142 ± 0.230 kg vs. +0.123 ± 0.230 kg; p = 0.012), lower-limb fat mass (-0.197 ± 0.204 kg vs. +0.055 ± 0.328 kg; p = 0.040), and a trend in interaction in android fat mass (-0.116 ± 0.153 kg vs. +0.026 ± 0.174 kg; p = 0.051), with large effects sizes (η2 p ≥ 0.17). This study provides evidence that full-body is more effective in reducing whole-body and regional fat mass compared to split-body routine in well-trained males.
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Affiliation(s)
- Marcelo A. S. Carneiro
- Applied PhysiologyNutrition and Exercise Research Group (PhyNEr)Federal University of Triangulo MineiroUberabaMinas GeraisBrazil
- Metabolism, Nutrition and Exercise LaboratoryPhysical Education and Sport CenterLondrina State UniversityLondrinaParanáBrazil
| | - Paulo Ricardo P. Nunes
- Applied PhysiologyNutrition and Exercise Research Group (PhyNEr)Federal University of Triangulo MineiroUberabaMinas GeraisBrazil
- Department of Body and Human MovementMinas Gerais State University (UEMG)PassosMinas GeraisBrazil
| | - Markus V. C. Souza
- Applied PhysiologyNutrition and Exercise Research Group (PhyNEr)Federal University of Triangulo MineiroUberabaMinas GeraisBrazil
| | - Cláudio O. Assumpção
- Applied PhysiologyNutrition and Exercise Research Group (PhyNEr)Federal University of Triangulo MineiroUberabaMinas GeraisBrazil
| | - Fábio L. Orsatti
- Applied PhysiologyNutrition and Exercise Research Group (PhyNEr)Federal University of Triangulo MineiroUberabaMinas GeraisBrazil
- Department of Sport SciencesHealth Science InstituteFederal University of Triangulo MineiroUberabaMinas GeraisBrazil
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Lamboglia CG, Ruissen GR, Mandic S, Garcia Bengoechea E, Spence JC. Temporal relationships in the movement behaviour of adolescents: Testing and methodological considerations of the ActivityStat hypothesis. J Sports Sci 2024; 42:947-958. [PMID: 38978311 DOI: 10.1080/02640414.2024.2372929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 06/20/2024] [Indexed: 07/10/2024]
Abstract
The study aimed to investigate the ActivityStat hypothesis by examining the presence and the timeframe of the temporal relationships among physical activity (PA) levels and stationary time (ST) in adolescents. A secondary analysis was performed on data involving 356 adolescents in Dunedin, New Zealand. Participants wore a waist-worn accelerometer for several consecutive days to assess PA levels [i.e. light PA (LPA), and moderate-to-vigorous PA (MVPA)] and ST. Bayesian continuous-time structural equation modelling (CT-SEM) was used to examine the relationship between the behaviours over time and the timeframe during which these relationships occur. Increases in LPA, MVPA, and ST were positively associated with their later behaviours until 2.5, 1.7, and 2 days later, respectively. A cross-behavioural reciprocal and negative relationship between LPA and ST was demonstrated 0.4 days later. A positive relationship between ST and MVPA was observed until about 0.4 days later. This is the first study to investigate the ActivityStat hypothesis using Bayesian CT-SEM in adolescents, examining the multivariate relationships among different behaviours and the associated timeframes. To conclude, evidence of activity synergy was suggested for the within-behavioural relationships, while behavioural compensation was noted for ST. Thus, the findings provide some support for the ActivityStat hypothesis in adolescents.
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Affiliation(s)
| | - Geralyn R Ruissen
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Canada
| | - Sandra Mandic
- AGILE Research Ltd, Wellington, New Zealand
- School of Sport and Recreation, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Enrique Garcia Bengoechea
- Research and Innovation Unit, Sport Ireland, Dublin, Ireland
- Physical Activity for Health Research Cluster, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - John C Spence
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Canada
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Konitz C, Schwensfeier L, Predel HG, Brinkmann C. The Influence of Acute and Chronic Exercise on Appetite and Appetite Regulation in Patients with Prediabetes or Type 2 Diabetes Mellitus-A Systematic Review. Nutrients 2024; 16:1126. [PMID: 38674817 PMCID: PMC11054589 DOI: 10.3390/nu16081126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/01/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024] Open
Abstract
This systematic review aims to analyze the effects of acute and chronic exercise on appetite and appetite regulation in patients with abnormal glycemic control. PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials were searched for eligible studies. The included studies had to report assessments of appetite (primary outcome). Levels of appetite-regulating hormones were analyzed as secondary outcomes (considered, if additionally reported). Seven studies with a total number of 211 patients with prediabetes or type 2 diabetes mellitus (T2DM) met the inclusion criteria. Ratings of hunger, satiety, fullness, prospective food consumption, nausea, and desire to eat, as well as levels of (des-)acylated ghrelin, glucagon-like peptide 1, glucose-dependent insulinotropic peptide, pancreatic polypeptide, peptide tyrosine tyrosine, leptin, and spexin were considered. Following acute exercise, the effects on appetite (measured up to one day post-exercise) varied, while there were either no changes or a decrease in appetite ratings following chronic exercise, both compared to control conditions (without exercise). These results were accompanied by inconsistent changes in appetite-regulating hormone levels. The overall risk of bias was low. The present results provide more evidence for an appetite-reducing rather than an appetite-increasing effect of (chronic) exercise on patients with prediabetes or T2DM. PROSPERO ID: CRD42023459322.
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Affiliation(s)
- Christoph Konitz
- Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne, 50933 Cologne, Germany; (L.S.); (H.-G.P.)
| | - Leon Schwensfeier
- Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne, 50933 Cologne, Germany; (L.S.); (H.-G.P.)
| | - Hans-Georg Predel
- Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne, 50933 Cologne, Germany; (L.S.); (H.-G.P.)
| | - Christian Brinkmann
- Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne, 50933 Cologne, Germany; (L.S.); (H.-G.P.)
- Department of Fitness and Health, IST University of Applied Sciences, 40233 Düsseldorf, Germany
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Nunes CL, Jesus F, Rosa GB, Marianito M, Francisco R, Bosy-Westphal A, Minderico CS, Martins P, Sardinha LB, Silva AM. Interindividual variability in energy intake and expenditure during a weight loss intervention. Appetite 2024; 193:107162. [PMID: 38101517 DOI: 10.1016/j.appet.2023.107162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 11/30/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023]
Abstract
INTRODUCTION Behavioral compensations may occur as a response to a negative energy balance. The aim of this study was to explore the associations between changes in energy intake (EI) and changes in physical activity (PA, min/day; kcal/d) as a response to a weight loss (WL) intervention and to understand if interindividual differences occur in EI and energy expenditure (EE). METHODS Eighty-one participants [mean (SD): age = 42.8 (9.4)y, BMI = 31.2 (4.4)kg/m2, 37% females] divided in intervention (IG, n = 43) and control group (CG, n = 38) were included. The IG underwent a moderate energy restriction (300-500 kcal/d). EI was measured through the intake-balance method. Non-exercise PA (NEPA) and exercise (through logbook) were assessed by accelerometery. The EE in NEPA (NEAT) and in exercise (EiEE) was calculated by applying the Freedson Combination'98 algorithm over the time spent in these activities. Pearson correlations were performed in IG to examine associations between EE components, EI and body composition. To understand if interindividual differences were observed, the SD of individual response (SDIR) and the smallest worthwhile change (SWC, SDbaselineCG×0.2) were calculated. RESULTS Changes in EI [Δ EI, (kcal/d)] was negatively associated with Δ exercise (min/d:r = -0.413, p = 0.045; %:r = -0.846, p = 0.008) and with Δ EiEE (kcal/d:r = -0.488, p = 0.016; %:r = -0.859, p = 0.006). A negative correlation was found between Δ sedentary time and Δ NEPA (min/d:r = -0.622, p = 0.002; %:r = -0.487, p = 0.018). An interindividual variability was found for EI(SDIR = 151.6, SWC = 72.3) and EE (SDIR = 165, SWC = 134). CONCLUSIONS Decreases in EI were not associated to compensatory responses such as decreases in PA and/or increases in sedentary time. Interindividual variability was found for EI and EE. Nevertheless, behavioral compensations and the interindividual variability should be considered when implementing WL interventions, to increase the likelihood of achieving sustainable results. (clinicaltrials.gov ID: NCT03031951).
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Affiliation(s)
- Catarina L Nunes
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002 Cruz-Quebrada, Portugal; Atlântica, Instituto Universitário, Fábrica da Pólvora de Barcarena, Portugal
| | - Filipe Jesus
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002 Cruz-Quebrada, Portugal
| | - Gil B Rosa
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002 Cruz-Quebrada, Portugal
| | - Mariana Marianito
- Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz MB, 1649-028 Lisboa, Portugal
| | - Ruben Francisco
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002 Cruz-Quebrada, Portugal
| | - Anja Bosy-Westphal
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, Kiel, Germany
| | - Cláudia S Minderico
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002 Cruz-Quebrada, Portugal
| | - Paulo Martins
- Laboratory of Sport Psychology, Faculdade de Motricidade Humana da Universidade de Lisboa, 1499-002 Cruz-Quebrada, Portugal
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002 Cruz-Quebrada, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Estrada da Costa, 1499-002 Cruz-Quebrada, Portugal.
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Milhem F, Komarnytsky S. Progression to Obesity: Variations in Patterns of Metabolic Fluxes, Fat Accumulation, and Gastrointestinal Responses. Metabolites 2023; 13:1016. [PMID: 37755296 PMCID: PMC10535155 DOI: 10.3390/metabo13091016] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 09/28/2023] Open
Abstract
Obesity is a multifactorial disorder that is remarkably heterogeneous. It presents itself in a variety of phenotypes that can be metabolically unhealthy or healthy, associate with no or multiple metabolic risk factors, gain extreme body weight (super-responders), as well as resist obesity despite the obesogenic environment (non-responders). Progression to obesity is ultimately linked to the overall net energy balance and activity of different metabolic fluxes. This is particularly evident from variations in fatty acids oxidation, metabolic fluxes through the pyruvate-phosphoenolpyruvate-oxaloacetate node, and extracellular accumulation of Krebs cycle metabolites, such as citrate. Patterns of fat accumulation with a focus on visceral and ectopic adipose tissue, microbiome composition, and the immune status of the gastrointestinal tract have emerged as the most promising targets that allow personalization of obesity and warrant further investigations into the critical issue of a wider and long-term weight control. Advances in understanding the biochemistry mechanisms underlying the heterogenous obesity phenotypes are critical to the development of targeted strategies to maintain healthy weight.
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Affiliation(s)
- Fadia Milhem
- Plants for Human Health Institute, NC State University, 600 Laureate Way, Kannapolis, NC 28081, USA;
- Department of Food, Bioprocessing, and Nutrition Sciences, North Carolina State University, 400 Dan Allen Drive, Raleigh, NC 27695, USA
- Department of Nutrition, University of Petra, 317 Airport Road, Amman 11196, Jordan
| | - Slavko Komarnytsky
- Plants for Human Health Institute, NC State University, 600 Laureate Way, Kannapolis, NC 28081, USA;
- Department of Food, Bioprocessing, and Nutrition Sciences, North Carolina State University, 400 Dan Allen Drive, Raleigh, NC 27695, USA
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Wang K, Mehta RS, Ma W, Nguyen LH, Wang DD, Ghazi AR, Yan Y, Al-Shaar L, Wang Y, Hang D, Fu BC, Ogino S, Rimm EB, Hu FB, Carmody RN, Garrett WS, Sun Q, Chan AT, Huttenhower C, Song M. The gut microbiome modifies the associations of short- and long-term physical activity with body weight changes. MICROBIOME 2023; 11:121. [PMID: 37254152 PMCID: PMC10228038 DOI: 10.1186/s40168-023-01542-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/05/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND The gut microbiome regulates host energy balance and adiposity-related metabolic consequences, but it remains unknown how the gut microbiome modulates body weight response to physical activity (PA). METHODS Nested in the Health Professionals Follow-up Study, a subcohort of 307 healthy men (mean[SD] age, 70[4] years) provided stool and blood samples in 2012-2013. Data from cohort long-term follow-ups and from the accelerometer, doubly labeled water, and plasma biomarker measurements during the time of stool collection were used to assess long-term and short-term associations of PA with adiposity. The gut microbiome was profiled by shotgun metagenomics and metatranscriptomics. A subcohort of 209 healthy women from the Nurses' Health Study II was used for validation. RESULTS The microbial species Alistipes putredinis was found to modify the association between PA and body weight. Specifically, in individuals with higher abundance of A. putredinis, each 15-MET-hour/week increment in long-term PA was associated with 2.26 kg (95% CI, 1.53-2.98 kg) less weight gain from age 21 to the time of stool collection, whereas those with lower abundance of A. putredinis only had 1.01 kg (95% CI, 0.41-1.61 kg) less weight gain (pinteraction = 0.019). Consistent modification associated with A. putredinis was observed for short-term PA in relation to BMI, fat mass%, plasma HbA1c, and 6-month weight change. This modification effect might be partly attributable to four metabolic pathways encoded by A. putredinis, including folate transformation, fatty acid β-oxidation, gluconeogenesis, and stearate biosynthesis. CONCLUSIONS A greater abundance of A. putredinis may strengthen the beneficial association of PA with body weight change, suggesting the potential of gut microbial intervention to improve the efficacy of PA in body weight management. Video Abstract.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Raaj S Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dong D Wang
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew R Ghazi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Yan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laila Al-Shaar
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yiqing Wang
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Dong Hang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology and Biostatistics, International Joint Research Center On Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Benjamin C Fu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel N Carmody
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Wendy S Garrett
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Curtis Huttenhower
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA.
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Correia IR, Hetherington-Rauth M, Magalhães JP, Júdice PB, Rosa GB, Henriques-Neto D, Manas A, Ara I, Silva AM, Sardinha LB. Compensatory mechanisms from different exercise intensities in type 2 diabetes: a secondary analysis of a 1-year randomized controlled trial. Acta Diabetol 2023; 60:645-654. [PMID: 36729308 PMCID: PMC10063485 DOI: 10.1007/s00592-023-02038-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/17/2023] [Indexed: 02/03/2023]
Abstract
AIMS This investigation aimed to determine the effect of different intensities of training on non-exercise physical activity (NEPA) and estimated thermogenesis (NEAT) from a 1-year exercise randomized controlled trial (RCT) in individuals with type 2 diabetes mellitus (T2DM) on non-training days. Additionally, changes in NEPA and estimated NEAT in those who failed (low-responders) or succeeded (high-responders) in attaining exercise-derived clinically meaningful reductions in body weight (BW) and fat mass (FM) (i.e., 6% for FM and 3% for BW) was assessed. METHODS Individuals with T2DM (n = 80) were enrolled in a RCT with three groups: resistance training combined with moderate-intensity continuous training (MICT) or high-intensity interval training (HIIT) and a control group. Of the 80 participants, 56 (completed data) were considered for this secondary analysis. NEPA and estimated NEAT were obtained by accelerometry and body composition through dual-energy X-ray absorptiometry. RESULTS After adjustments, no time*group interactions were found for estimated NEAT in the MICT (β = - 5.33, p = 0.366) and HIIT (β = - 5.70, p = 0.283), as well as for NEPA in the MICT (β = - 452.83, p = 0.833) and HIIT (β = - 2770.76, p = 0.201), when compared to controls. No compensatory changes in NEPA and estimated NEAT were observed when considering both low-responders and high-responders to FM and BW when compared to controls. CONCLUSIONS Both MICT and HIIT did not result in any compensatory changes in estimated NEAT and NEPA with the intervention on non-training days. Moreover, no changes in estimated NEAT and NEPA were found when categorizing our participants as low-responders and high-responders to FM and BW when compared to controls. Trial registration clinicaltrials.gov ID. NCT03144505.
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Affiliation(s)
- Inês R Correia
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal
| | - Megan Hetherington-Rauth
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal
| | - João P Magalhães
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal
| | - Pedro B Júdice
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal
- CIDEFES - Centro de Investigação Em Desporto, Educação Física E Exercício E Saúde, Universidade Lusófona, Lisbon, Portugal
| | - Gil B Rosa
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal
| | - Duarte Henriques-Neto
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal
| | - Asier Manas
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
| | - Ignacio Ara
- GENUD Toledo Research Group, University of Castilla-La Mancha, Toledo, Spain
| | - Analiza M Silva
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal
| | - Luís B Sardinha
- Faculdade de Motricidade Humana, Exercise and Health Laboratory, CIPER, Universidade de Lisboa Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal.
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Flack KD, Stults-Kolehmainen MA, Creasy SA, Khullar S, Boullosa D, Catenacci VA, King N. Altered motivation states for physical activity and 'appetite' for movement as compensatory mechanisms limiting the efficacy of exercise training for weight loss. Front Psychol 2023; 14:1098394. [PMID: 37187558 PMCID: PMC10176969 DOI: 10.3389/fpsyg.2023.1098394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 03/23/2023] [Indexed: 05/17/2023] Open
Abstract
Weight loss is a major motive for engaging in exercise, despite substantial evidence that exercise training results in compensatory responses that inhibit significant weight loss. According to the Laws of Thermodynamics and the CICO (Calories in, Calories out) model, increased exercise-induced energy expenditure (EE), in the absence of any compensatory increase in energy intake, should result in an energy deficit leading to reductions of body mass. However, the expected negative energy balance is met with both volitional and non-volitional (metabolic and behavioral) compensatory responses. A commonly reported compensatory response to exercise is increased food intake (i.e., Calories in) due to increased hunger, increased desire for certain foods, and/or changes in health beliefs. On the other side of the CICO model, exercise training can instigate compensatory reductions in EE that resist the maintenance of an energy deficit. This may be due to decreases in non-exercise activity thermogenesis (NEAT), increases in sedentary behavior, or alterations in sleep. Related to this EE compensation, the motivational states associated with the desire to be active tend to be overlooked when considering compensatory changes in non-exercise activity. For example, exercise-induced alterations in the wanting of physical activity could be a mechanism promoting compensatory reductions in EE. Thus, one's desires, urges or cravings for movement-also known as "motivation states" or "appetence for activity"-are thought to be proximal instigators of movement. Motivation states for activity may be influenced by genetic, metabolic, and psychological drives for activity (and inactivity), and such states are susceptible to fatigue-or reward-induced responses, which may account for reductions in NEAT in response to exercise training. Further, although the current data are limited, recent investigations have demonstrated that motivation states for physical activity are dampened by exercise and increase after periods of sedentarism. Collectively, this evidence points to additional compensatory mechanisms, associated with motivational states, by which impositions in exercise-induced changes in energy balance may be met with resistance, thus resulting in attenuated weight loss.
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Affiliation(s)
- Kyle D. Flack
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, KY, United States
| | - Matthew A. Stults-Kolehmainen
- Division of Digestive Health, Yale New Haven Hospital, New Haven, CT, United States
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, United States
| | - Seth A. Creasy
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Saumya Khullar
- School of Applied Sciences, Edinburgh Napier University, Edinburgh, United Kingdom
| | - Daniel Boullosa
- Faculty of Physical Activity and Sports Sciences, Universidad de León, León, Spain
- College of Healthcare Sciences, James Cook University, Townsville, QLD, Australia
- Graduate Program in Movement Sciences, Integrated Institute of Health, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | - Victoria A. Catenacci
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Neil King
- School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
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10
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Stults-Kolehmainen MA. Humans have a basic physical and psychological need to move the body: Physical activity as a primary drive. Front Psychol 2023; 14:1134049. [PMID: 37113126 PMCID: PMC10128862 DOI: 10.3389/fpsyg.2023.1134049] [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: 12/29/2022] [Accepted: 03/13/2023] [Indexed: 04/29/2023] Open
Abstract
Physical activity, while less necessary for survival in modern times, is still essential for thriving in life, and low levels of movement are related to numerous physical and mental health problems. However, we poorly understand why people move on a day-to-day basis and how to promote greater energy expenditure. Recently, there has been a turn to understand automatic processes with close examination of older theories of behavior. This has co-occurred with new developments in the study of non-exercise activity thermogenesis (NEAT). In this narrative review, it is hypothesized that psycho-physiological drive is important to understand movement in general and NEAT, specifically. Drive, in short, is a motivation state, characterized by arousal and felt tension, energizing the organism to acquire a basic need. Movement is a biological necessity, like food, water, and sleep, but varies across the lifespan and having the greatest impact before adolescence. Movement meets various criteria for a primary drive: (a) deprivation of it produces feelings of tension, such as an urge or craving, known as affectively-charged motivation states, and particularly the feelings of being antsy, restless, hyper or cooped up, (b) provision of the need quickly reduces tension - one can be satiated, and may even over-consume, (c) it can be provoked by qualities of the environment, (d) it is under homeostatic control, (e) there is an appetite (i.e., appetence) for movement but also aversion, and (f) it has a developmental time course. Evidence for drive has mainly come from children and populations with hyperkinetic disorders, such as those with anorexia nervosa, restless legs syndrome, and akathisia. It is also stimulated in conditions of deprivation, such as bed rest, quarantine, long flights, and physical restraint. It seems to be lacking in the hypokinetic disorders, such as depression and Parkinson's. Thus, drive is associated with displeasure and negative reinforcement, subsuming it within the theory of hedonic drive, but it may fit better within new paradigms, such as the WANT model (Wants and Aversions for Neuromuscular Tasks). Recently developed measurement tools, such as the CRAVE scale, may permit the earnest investigation of movement drive, satiation, and motivation states in humans.
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Affiliation(s)
- Matthew A. Stults-Kolehmainen
- Division of Digestive Health, Yale New Haven Hospital, New Haven, CT, United States
- Department of Biobehavioral Sciences, Teachers College – Columbia University, New York, NY, United States
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11
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Dibben GO, Hillsdon M, Dalal HM, Tang LH, Doherty PJ, Taylor R. Home-based cardiac rehabilitation and physical activity in people with heart failure: a secondary analysis of the REACH-HF randomised controlled trials. BMJ Open 2023; 13:e063284. [PMID: 36759035 PMCID: PMC9923308 DOI: 10.1136/bmjopen-2022-063284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/11/2023] Open
Abstract
OBJECTIVES To quantify the impact of a home-based cardiac rehabilitation intervention (Rehabilitation Enablement in Chronic Heart Failure (REACH-HF)) on objectively assessed physical activity (PA) of patients with heart failure (HF) and explore the extent by which patient characteristics are associated with a change in PA. DESIGN Secondary analysis of randomised controlled trial data. SETTING Five centres in the UK. PARTICIPANTS 247 patients with HF (mean age 70.9±10.3 years; 28% women). INTERVENTIONS REACH-HF versus usual care (control). PRIMARY AND SECONDARY OUTCOME MEASURES PA was assessed over 7 days via GENEActiv triaxial accelerometer at baseline (pre-randomisation), post-intervention (4 months) and final follow-up (6-12 months). Using HF-specific intensity thresholds, intervention effects (REACH-HF vs control) on average min/day PA (inactivity, light PA and moderate-to-vigorous PA (MVPA)) over all days, week days and weekend days were examined using linear regression analysis. Multivariable regression was used to explore associations between baseline patient characteristics and change in PA. RESULTS Although there was no difference between REACH-HF and control groups in 7-day PA levels post-intervention or at final follow-up, there was evidence of an increase in weekday MVPA (10.9 min/day, 95% CI: -2.94 to 24.69), light PA (26.9 min/day, 95% CI: -0.05 to 53.8) and decreased inactivity (-38.31 min/day, 95% CI: -72.1 to -4.5) in favour of REACH-HF. Baseline factors associated with an increase in PA from baseline to final follow-up were reduced MVPA, increased incremental shuttle walk test distance, increased Hospital Anxiety and Depression Scale anxiety score and living with a child >18 years (p<0.05). CONCLUSIONS While participation in the REACH-HF home-based cardiac rehabilitation intervention did not increase overall weekly activity, patient's behaviour patterns appeared to change with increased weekday PA levels and reduced inactivity. Baseline PA levels were highly predictive of PA change. Future focus should be on robust behavioural changes, improving overall levels of objectively assessed PA of people with HF. TRIAL REGISTRATION NUMBERS ISRCTN78539530 and ISRCTN86234930.
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Affiliation(s)
- Grace O Dibben
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Melvyn Hillsdon
- Department of Public Health and Sport Sciences, University of Exeter, Exeter, Devon, UK
| | - Hasnain M Dalal
- Research, Development and Innovation, Royal Cornwall Hospitals NHS Trust, TRURO, Cornwall, UK
- Primary Care, University of Exeter Medical School, Truro, UK
| | - Lars H Tang
- The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Slagelse Hospital, Slagelse, Sjaelland, Denmark
- The Department of Regional Health Research, University of Southern Denmark, Odense, Syddanmark, Denmark
| | | | - Rod Taylor
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
- College of Medicine and Health, University of Exeter, Exeter, UK
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12
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Bourdier P, Simon C, Bessesen DH, Blanc S, Bergouignan A. The role of physical activity in the regulation of body weight: The overlooked contribution of light physical activity and sedentary behaviors. Obes Rev 2023; 24:e13528. [PMID: 36394185 PMCID: PMC10910694 DOI: 10.1111/obr.13528] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/31/2022] [Accepted: 10/23/2022] [Indexed: 11/18/2022]
Abstract
The role of physical activity (PA) in the regulation of body weight is still a major topic of debate. This may be because studies have essentially focused on the effects of moderate/vigorous PA (MVPA) on body weight while overlooking the other components of PA, namely, light-intensity PA (LPA, daily life activities) and sedentary behaviors (SB, too much sitting). In this review, we will (i) describe the history of changes in PA behaviors that occurred with modernization; (ii) review data from cross-sectional and longitudinal studies that examined the associations between PA, SB, and measures of obesity; (iii) review interventional studies that investigated the effects of changes in PA and SB on body weight and adiposity; and (iv) discuss experimental studies that addressed potential biological mechanisms underlying the effects of PA and SB on weight regulation. Overall recent findings support the importance of considering all components of PA to better understand the regulation of energy balance and suggest an important role for LPA and SB in addition to MVPA on body weight regulation. Longitudinal large-scale rigorous studies are needed to advance our knowledge of the role of PA/SB in combating the obesity epidemic.
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Affiliation(s)
- Pierre Bourdier
- CNRS IPHC UMR 7178 Université de Strasbourg, Strasbourg, France
| | - Chantal Simon
- CarMen Laboratory, INSERM 1060, INRAE 1397, University of Lyon, Oullins, France
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | - Daniel H. Bessesen
- Anschutz Health and Wellness Center, Division of Endocrinology, University of Colorado, Aurora, Colorado, USA
| | - Stéphane Blanc
- CNRS IPHC UMR 7178 Université de Strasbourg, Strasbourg, France
| | - Audrey Bergouignan
- CNRS IPHC UMR 7178 Université de Strasbourg, Strasbourg, France
- Anschutz Health and Wellness Center, Division of Endocrinology, University of Colorado, Aurora, Colorado, USA
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13
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Compensatory eating after exercise in everyday life: Insights from daily diary studies. PLoS One 2023; 18:e0282501. [PMID: 36920917 PMCID: PMC10016725 DOI: 10.1371/journal.pone.0282501] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 02/16/2023] [Indexed: 03/16/2023] Open
Abstract
There is considerable variability in how successful people are in losing weight via exercise programs. Experimental research suggests that greater food intake after exercise may be one factor underlying this variability, but no studies have assessed patterns of post-exercise eating behaviour over time in naturalistic settings. Thus, we aimed to assess how exercise and contextual factors (e.g., hunger, presence of others) influence the healthiness and amount of food eaten after exercise in two daily diary studies. In Study 1, participants (n = 48) reported their food intake and exercise daily for 28 days. For each meal, they provided a brief description of the food(s) eaten which were then categorised as healthy, unhealthy, or mixed (neither healthy nor unhealthy) by two independent coders. Study 2 used the same method, but participants (n = 55) also reported the portion size of each meal. Hierarchical linear modelling showed that in Study 1, contrary to expectations, post-exercise meals were less likely to be unhealthy (relative to mixed) than were random meals from non-exercise days (OR = 0.63, p = .011), and that participants ate proportionally fewer unhealthy meals on exercise days compared to non-exercise days (b = -4.27, p = .004). Study 2 replicated these findings, and also found that participants consumed larger meals after exercise in comparison to random meals from non-exercise days (b = 0.25, p < .001). Participants were not consistently engaging in compensatory eating by eating less healthily after exercise compared to on non-exercise days, but they did eat larger portions post-exercise. This work highlights the need for naturalistic methods of assessing compensatory eating, and has the potential to facilitate development of strategies to improve health behaviour regulation.
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14
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The impact of exercise and cumulative physical activity on energy intake and diet quality in adults enrolled in the Midwest Exercise Trial for the Prevention of Weight Regain. Br J Nutr 2022; 128:2498-2509. [PMID: 35249561 PMCID: PMC9448821 DOI: 10.1017/s0007114521005122] [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: 12/30/2022]
Abstract
The purpose of this study was to assess impact of different volumes of exercise as well as cumulative moderate to vigorous physical activity (MVPA) on energy intake (EI) and diet quality, as assessed by the Healthy Eating Index-2010(HEI-2010), across a 12-month weight maintenance intervention. Participants were asked to attend group behavioural sessions, eat a diet designed for weight maintenance and exercise either 150, 225 or 300 min/week. Dietary intake was assessed by 3-d food records, and MVPA was assessed by accelerometry. Two hundred and twenty-four participants (42·5 years of age, 82 % female) provided valid dietary data for at least one time point. There was no evidence of group differences in EI, total HEI-2010 score or any of the HEI-2010 component scores (all P > 0·05). After adjusting for age, sex, time, group and group-by-time interactions, there was an effect of cumulative MVPA on EI (1·08, P = 0·04), total HEI-2010 scores (-0·02, P = 0·003), Na (-0·006, P = 0·002) and empty energy scores (-0·007, P = 0·004. There was evidence of a small relationship between cumulative daily EI and weight (β: 0·00187, 95 % CI 0·001, P = 0·003). However, there was no evidence for a relationship between HEI total score (β: -0·006, 95 % CI 0·07, 0·06) or component scores (all P > 0·05) and change in weight across time. The results of this study suggest that increased cumulative MVPA is associated with clinically insignificant increases in EI and decreases in HEI.
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15
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Nunes CL, Rosa GB, Jesus F, Heymsfield SB, Minderico CS, Martins P, Sardinha LB, Silva AM. Interindividual variability in metabolic adaptation of non-exercise activity thermogenesis after a 1-year weight loss intervention in former elite athletes. Eur J Sport Sci 2022:1-10. [PMID: 36377398 DOI: 10.1080/17461391.2022.2147020] [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: 11/16/2022]
Abstract
Lack of efficacy of weight loss(WL) interventions is attributed in-part to low adherence to dietary/physical activity(PA) recommendations. However, some compensation may occur in PA as a response to energy restriction such as a decrease in non-exercise PA(NEPA) or non-exercise activity thermogenesis(NEAT). The current study aim was (1) to investigate whether adaptive thermogenesis(AT) in NEAT occurs after WL, and (2) to understand the associations of these compensations with WL. Ninety-four former athletes [mean±SD, age: 43.0±9.4y, BMI: 31.1±4.3 kg/m2, 34.0% female] were recruited and randomly assigned to intervention or control groups (IG, CG). The IG underwent a one-year lifestyle WL-intervention; no treatments were administered to the CG. PA was measured using accelerometery and NEAT was predicted with a model including sample baseline characteristics. AT was calculated as measuredNEAT4mo/12mo(kcal/d)-predictedNEAT4mo/12mo(kcal/d)-measuredNEATbaseline(kcal/d)-predictedNEATbaseline(kcal/d). Dual-energy x-ray absorptiometry was used to assess fat-free mass and fat mass. No differences were found in the IG for NEAT or NEPA after WL. Considering mean values, AT was not found for either group. The SD of individual response (SDIR) for AT was -2(4-months) and 24(12-months) (smallest worthwhile change = 87kcal/d), suggesting that the interindividual variability regarding AT in NEAT is not relevant and the variability in this outcome might reflect a large within-subject variability and/or a large degree of random measurement error. No associations were found between AT in NEAT and changes in body composition. Further studies are needed to clarify the mechanisms behind the large variability in AT observed in NEAT and related changes in NEPA to better implement lifestyle-induced WL interventions.Highlights No significant differences were found for non-exercise activity thermogenesis (NEAT) or non-exercise physical activity (NEPA) after the weight loss (WL) intervention;Although a large variability was found for NEAT and NEPA, the interindividual variability regarding these outcomes is not relevant. The variability in these outcomes might reflect a large within-subject variability and/or a large degree of random measurement error;Although no energy conservation was observed in NEAT after moderate WL (mean values), further studies are needed to clarify the mechanisms behind the large variability in adaptive thermogenesis observed in NEAT and related changes in NEPA to better implement lifestyle-induced WL interventions.Trial registration: ClinicalTrials.gov identifier: NCT03031951.
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Affiliation(s)
- Catarina L Nunes
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Cruz-Quebrada, Portugal
| | - Gil B Rosa
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Cruz-Quebrada, Portugal
| | - Filipe Jesus
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Cruz-Quebrada, Portugal
| | | | - Cláudia S Minderico
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Cruz-Quebrada, Portugal
| | - Paulo Martins
- Laboratory of Sport Psychology, Faculdade de Motricidade Humana da Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Cruz-Quebrada, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade Lisboa, Cruz-Quebrada, Portugal
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16
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Anand VV, Zhe ELC, Chin YH, Lim WH, Goh RSJ, Lin C, Ng CH, Kong G, Tay PWL, Devi K, Muthiah M, Singh V, Chu DT, Khoo CM, Chan MY, Dimitriadis GK, Foo R, Chew NWS. Barriers and Facilitators to Engagement With a Weight Management Intervention in Asian Patients With Overweight or Obesity: A Systematic Review. Endocr Pract 2022; 29:398-407. [PMID: 36396016 DOI: 10.1016/j.eprac.2022.10.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 09/08/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE The obesity epidemic is a global health concern with Asian countries facing one of the most rapid rises in obesity rates. However, given the underwhelming long-term efficacy of weight loss strategies, especially in Asia, this review aimed to explore barriers and facilitators to weight management of patients with overweight and obesity in Asia. METHODS Medline, CINAHL, PsycINFO, and Web of Science were searched for articles discussing barriers and facilitators of treatment to obesity from the perspectives of both health care professionals (HCPs) and patients. Qualitative and mixed method studies from Asia were included. Key quotes were extracted, coded, and thematically analyzed according to the methodology of Thomas and Harden. RESULTS A total of 26 articles were included in this review. From patient perspectives, 3 main themes were identified: factors influencing poor eating behavior, inhibiting lifestyle modifications, and facilitating lifestyle modifications. Patients highlighted several barriers including the lack of social support, physiologic limitations to exercise, and low health literacy. Rigid sociocultural norms and lack of accessible health care services, exercise facilities, and healthy food exacerbated the barriers. Facilitators to lifestyle modifications consisted of strong support systems and high health literacy. HCPs agreed that low health literacy, lack of social support, and patient motivation impeded patients' weight loss attempts but were unaware of the other barriers they faced. CONCLUSION There are discrepancies between ideas of barriers and facilitators of HCPs and patients. A mixture of population level, primary care, and personal interventions are required to address this disparity, and enhanced health literacy can improve weight loss outcomes.
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Affiliation(s)
- Vickram Vijay Anand
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ethan Lee Cheng Zhe
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University Singapore, Singapore.
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Rachel Sze Jen Goh
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Chaoxing Lin
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Gwyneth Kong
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Phoebe Wen Lin Tay
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Kamala Devi
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Vijai Singh
- Department of Biosciences, School of Science, Indrashil University, Rajpur, Mehsana, Gujarat, India
| | - Dinh-Toi Chu
- Center for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam; Department of Natural Science and Technology, International School, Vietnam National University, Hanoi, Vietnam
| | - Chin Meng Khoo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Department of Endocrinology, National University Hospital, Singapore
| | - Mark Y Chan
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Health System, Singapore
| | - Georgios K Dimitriadis
- Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, London, United Kingdom; Department of Endocrinology ASO/EASO COM, King's College Hospital NHS Foundation Trust, Denmark Hill, London, United Kingdom
| | - Roger Foo
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Health System, Singapore
| | - Nicholas W S Chew
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore.
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Liu XM, Wang K, Zhu Z, Cao ZB. Compensatory effects of different exercise durations on non-exercise physical activity, appetite, and energy intake in normal weight and overweight adults. Front Physiol 2022; 13:932846. [PMID: 36060692 PMCID: PMC9437276 DOI: 10.3389/fphys.2022.932846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: To examine compensatory changes of different exercise durations on non-exercise physical activity (NEPA), appetite, and energy intake (EI) in normal and overweight adults, and to determine if different body mass index of individuals interact with these compensatory effects. Methods: Ten normal weight adults (nine females and one male; age: 24.0 ± 0.4 years; BMI: 20.7 ± 0.5 kg/m2) and ten overweight adults (six females and four males; age: 24.5 ± 0.9 years; BMI: 25.9 ± 0.4 kg/m2) participated in this study. The participants completed two exercise trials: short-duration continuous training (SDCT) and long-duration continuous training (LDCT), i.e., a 40 min short-duration and an 80 min long-duration continuous training in a randomized order. Total physical activity and NEPA were monitored using an accelerometer for seven consecutive days, which involved a two-day baseline observation period (C-pre-Ex), three-day exercise intervention period (Ex), and two-day follow-up period (C-post-Ex). Blood samples were collected for appetite-related hormone analysis. Appetite score was assessed using the visual analogue scale. Energy intake was evaluated by weighing the food and recording diaries. Results: The NEPA evaluation showed that it was higher for SDCT than for LDCT in the C-post-Ex period (F (1, 19) = 8.508, p = 0.009) in the total sample. Moreover, results also indicated that NEPA was lower for LDCT (F (2, 18) = 6.316, p = 0.020) and higher for SDCT (F (2, 18) = 3.889, p = 0.026) in the C-post-Ex period than in the C-pre-Ex and Ex periods in overweight group. Acyl-ghrelin revealed a main effect of time in the total sample and in normal weight and overweight groups; it was lower in the C-post-Ex period than in the C-pre-Ex and Ex periods (all p < 0.05). Total EI analysis revealed no significant changes in either the total sample or in the normal weight and overweight groups. Conclusion: These findings demonstrate that short duration exercise led to a compensatory increment in NEPA, whereas long duration exercise induced a compensatory decrease in NEPA. Moreover, there was a higher and delayed compensatory response in overweight adults than in normal weight adults. Nevertheless, energy intake was not changed across time, regardless of exercise duration.
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Affiliation(s)
- Xiao-Mei Liu
- Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai, China
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Ke Wang
- Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai, China
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Zheng Zhu
- Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai, China
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Zhen-Bo Cao
- Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai, China
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
- *Correspondence: Zhen-Bo Cao,
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18
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Sauchelli S, Brunstrom JM. Virtual reality exergaming improves affect during physical activity and reduces subsequent food consumption in inactive adults. Appetite 2022; 175:106058. [PMID: 35460807 DOI: 10.1016/j.appet.2022.106058] [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: 10/11/2021] [Revised: 04/14/2022] [Accepted: 04/16/2022] [Indexed: 11/02/2022]
Abstract
An individual's affective (i.e. emotional) response to exercise may play an important role in post-exercise eating behaviour for some individuals. Taking advantage of advances in fully immersive virtual reality (VR) technology, this study aimed to: a) examine whether VR exergaming can improve the psychological response to exercise in inactive adults, and b) assess the extent to which this improvement reduces post-exercise appetite and eating behaviour. In a cross-over study, 34 adults not meeting the World Health Organisation's physical activity recommendations completed two exercise sessions on a stationary bike; one while engaging in a VR exergame and one without VR. Monitoring enabled heart rate, energy expenditure, and duration across conditions to be closely matched. The Physical Activity Enjoyment Scale, Feeling Scale, Felt Arousal Scale and Borg's Ratings of Perceived Exertion were measured to capture the affective responses to exercise. Appetite and eating behaviour were evaluated using visual-analogue scales, a computerised food preference task, and intake at a post-exercise buffet meal. Cycling in VR elicited greater exercise enjoyment (p < 0.001, η2p = 0.62), pleasure (p < 0.001, η2p = 0.47), and activation (p < 0.001, η2p = 0.55). VR exergaming did not alter perceived physical exertion (p = 0.64), perceived appetite (p = 0.68), and preference for energy dense (p = 0.78) or sweet/savoury foods (p = 0.90) compared to standard exercise. However, it did result in a mean 12% reduction in post-exercise food intake (mean difference: 105.9 kcal; p < 0.01; η2p = 0.20) and a decrease in relative food intake (p < 0.01; η2p = 0.20), although inter-individual differences in response to VR exergaming were observed. The integration of VR in a cycling workout improves the affective experience of physical activity for inactive adults and reduces subsequent food intake. Virtual reality technology shows potential as an adjunct tool to support adults in weight management programmes become more active, especially for those individuals who are prone to eat in excess after physical activity.
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Affiliation(s)
- Sarah Sauchelli
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals of Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, United Kingdom.
| | - Jeffrey M Brunstrom
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals of Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, United Kingdom; Nutrition and Behaviour Unit, School of Psychological Science, University of Bristol, United Kingdom
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19
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Energy Availability Over One Athletic Season: An Observational Study Among Athletes From Different Sports. Int J Sport Nutr Exerc Metab 2022; 32:479-490. [PMID: 35894910 DOI: 10.1123/ijsnem.2022-0039] [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: 02/15/2022] [Revised: 05/09/2022] [Accepted: 05/18/2022] [Indexed: 11/18/2022]
Abstract
During the athletic season, changes in body composition occur due to fluctuations in energy expenditure and energy intake. Literature regarding changes of energy availability (EA) is still scarce. The aim was to estimate EA of athletes from nonweight and weight-sensitive sports during the athletic season (i.e., preparatory and competitive phase). Eighty-eight athletes (19.1 ± 4.2 years, 21.8 ± 2.0 kg/m2, 27% females, self-reported eumenorrheic) from five sports (basketball [n = 29]; handball [n = 7]; volleyball [n = 9]; swimming [n = 18]; and triathlon [n = 25]) were included in this observational study. Energy intake and exercise energy expenditure were measured through doubly labeled water (over 7 days and considering neutral energy balance) and metabolic equivalents of tasks, respectively. Fat-free mass (FFM) was assessed through a four-compartment model. EA was calculated as EA = (energy intake - exercise energy expenditure)/FFM. Linear mixed models, adjusted for sex, were performed to assess EA for the impact of time by sport interaction. Among all sports, EA increased over the season: basketball, estimated mean (SE): 7.2 (1.5) kcal/kg FFM, p < .001; handball, 14.8 (2.9) kcal/kg FFM, p < .001; volleyball, 7.9 (2.8) kcal/kg FFM, p = .006; swimming, 8.7 (2.0) kcal/kg FFM, p < .001; and triathlon, 9.6 (2.0) kcal/kg FFM, p < .001. Eleven athletes (12.5%) had clinical low EA at the preparatory phase and none during the competitive phase. During both assessments, triathletes' EA was below optimal, being lower than basketballers (p < .001), volleyballers (p < .05), and swimmers (p < .001). Although EA increased in all sports, triathlon's EA was below optimal during both assessments. Risk of low EA might be seasonal and resolved throughout the season, with higher risk during the preparatory phase. However, in weight-sensitive sports, namely triathlon, low EA is still present.
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20
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Lamboglia CG, Mccurdy AP, Kim YB, Lindeman C, Mangan AJ, Sivak A, Mager D, Spence JC. Investigation of movement-related behaviors and energy compensation in people living with liver disease: A scoping review. J Sports Sci 2022; 40:1299-1307. [PMID: 35766978 DOI: 10.1080/02640414.2022.2065087] [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: 10/17/2022]
Abstract
The importance of integrated movement behaviours (MB, i.e., physical activity [PA], sedentary behaviour, and sleep) and their interdependence for health has been recently discussed in the literature. The proposition that the amount of time spent in any one of these behaviours may impact the amount of time spent in another is supported by the ActivityStat hypothesis. The aim of this review is to (1) to assess whether individuals with liver disease display MB and/or energy (i.e., total energy expenditure [EE], basal EE, resting EE, and activity EE) compensation throughout the day and/or days; and (2) to examine whether a prescribed PA intervention triggers compensatory responses. Documents were included if they focused on people living with liver disease; analysed MB and/or EE components; were data-based; and were published in English. Fifteen documents were included in the final synthesis. The one finding that addressed research question 1 showed no compensatory response. As for research question 2, most of the findings suggest no compensation effects in response to a PA intervention. There is insufficient evidence to support the ActivityStat hypothesis in people living with liver disease. Further research should be conducted to test this hypothesis using standardized methodological procedures.
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Affiliation(s)
| | - Ashley P Mccurdy
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Yeong-Bae Kim
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Cliff Lindeman
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Amie J Mangan
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Allison Sivak
- H.T. Coutts Library, University of Alberta, Edmonton, Alberta, Canada
| | - Diana Mager
- Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - John C Spence
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
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21
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Lu Y, Wiltshire HD, Baker JS, Wang Q. Effects of Low-Volume High-Intensity Interval Exercise on 24 h Movement Behaviors in Inactive Female University Students. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127177. [PMID: 35742425 PMCID: PMC9223473 DOI: 10.3390/ijerph19127177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 06/05/2022] [Accepted: 06/09/2022] [Indexed: 11/23/2022]
Abstract
The purpose of this study was to examine if low-volume, high-intensity interval exercise (HIIE) was associated with changes in 24-h movement behaviors. A quasi-experimental study design was used. We collected accelerometry data from 21 eligible participants who consistently wore an ActiGraph for a period of two-weeks. Differences in behaviors were analyzed using a paired t-test and repeated measures analysis of variance. Regression analysis was used to explore relationships with factors that impacted changes. The results indicated a compensatory increase in sedentary time (ST) (4.4 ± 6.0%, p < 0.01) and a decrease in light-intensity physical activity (LPA) (−7.3 ± 16.7%, p < 0.05). Meanwhile, moderate-intensity physical activity (MPA), vigorous-intensity physical activity (VPA), and total physical activity (TPA) increased following exercise (p < 0.001). Sleep duration and prolonged sedentary time were reduced (p < 0.05). Exercise intensity and aerobic capacity were associated with changes in ST. The results from the study indicate that participating in a low-volume HIIE encouraged participants who were previously inactive to become more active. The observations of increases in ST may have displaced a prolonged sitting time. The decrease in sleeping time observed may be reflecting an increased sleep quality in connection with increased higher-intensity PA.
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Affiliation(s)
- Yining Lu
- Faculty of Sport Science, Ningbo University, Ningbo 315000, China;
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF5 2YB, UK;
| | - Huw D. Wiltshire
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF5 2YB, UK;
| | - Julien S. Baker
- Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong;
| | - Qiaojun Wang
- Faculty of Sport Science, Ningbo University, Ningbo 315000, China;
- Correspondence: ; Tel.: +86-13805885586
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22
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Davidović Cvetko E, Nešić N, Matić A, Milas Ahić J, Drenjančević I. Effects of 8-week increment aerobic exercise program on bone metabolism and body composition in young non-athletes. Eur J Appl Physiol 2022; 122:1019-1034. [PMID: 35141785 DOI: 10.1007/s00421-022-04900-y] [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: 07/08/2021] [Accepted: 01/26/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE The effects of aerobic exercise on bone metabolism are still unclear. Thus, the main goal of this study was to explore if there was an effect of the short-term aerobic exercise program on the bone remodeling process and if there were sex differences in the effect of the training program on bone metabolism. METHODS Twenty-one participants (men and women) aged 20-23 performed an 8-week aerobic exercise program three times per week in 1-h sessions with increases in the exercise load every 2 weeks. Bone density, bone mineral content and concentration of markers of bone metabolism: osteocalcin, C-terminal procollagen type I peptide, pyridinoline, parathyroid hormone, osteoprotegerin, and the receptor activator of nuclear kappa B ligand by ELISA were measured at the start and at the end of the study, while changes in body composition were assessed by a bioelectric impedance analysis method 6 times during the study. RESULTS The aerobic exercise program increased the concentration of osteocalcin (11.34 vs 14.24 ng/ml), pyridinoline (67.51 vs 73.99 nmol/l), and the receptor activator of nuclear kappa B ligand (95.122 vs 158.15 pg/ml). A statistically significant increase in bone density at neck mean (1.122 vs 1.176 g/cm3) and in bone mineral content at dual femur (33.485 vs 33.700 g) was found in women, while there was no statistically significant change at any site in men. CONCLUSION 8 weeks of the aerobic exercise program with increment in intensity increased some of bone remodeling biomarkers and showed different effects for men and women.
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Affiliation(s)
- Erna Davidović Cvetko
- Health Studies Department, College of Applied Sciences Lavoslav Ruzicka in Vukovar, Županijska 50, 32000, Vukovar, Croatia
| | - Nebojša Nešić
- Health Studies Department, College of Applied Sciences Lavoslav Ruzicka in Vukovar, Županijska 50, 32000, Vukovar, Croatia
| | - Anita Matić
- Department of Physiology and Immunology, Faculty of Medicine Osijek, University of Josip Juraj Strossmayer Osijek, J. Huttlera 4, 31000, Osijek, Croatia.,Scientific Centre of Excellence for Personalized Health Care, University of Josip Juraj Strossmayer Osijek, Trg Svetog Trojstva 3, 31000, Osijek, Croatia
| | - Jasminka Milas Ahić
- Department of Pathophysiology, Faculty of Medicine Osijek, University of Josip Juraj Strossmayer Osijek, J. Huttlera 4, 31000, Osijek, Croatia.,Department of Internal Medicine, Clinical Hospital Centre Osijek, J. Huttlera 4, 31000, Osijek, Croatia
| | - Ines Drenjančević
- Department of Physiology and Immunology, Faculty of Medicine Osijek, University of Josip Juraj Strossmayer Osijek, J. Huttlera 4, 31000, Osijek, Croatia. .,Scientific Centre of Excellence for Personalized Health Care, University of Josip Juraj Strossmayer Osijek, Trg Svetog Trojstva 3, 31000, Osijek, Croatia.
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23
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Reactive Oxygen Species (ROS) and Antioxidants as Immunomodulators in Exercise: Implications for Heme Oxygenase and Bilirubin. Antioxidants (Basel) 2022; 11:antiox11020179. [PMID: 35204062 PMCID: PMC8868548 DOI: 10.3390/antiox11020179] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/12/2022] [Accepted: 01/14/2022] [Indexed: 02/07/2023] Open
Abstract
Exercise is commonly prescribed as a lifestyle treatment for chronic metabolic diseases as it functions as an insulin sensitizer, cardio-protectant, and essential lifestyle tool for effective weight maintenance. Exercise boosts the production of reactive oxygen species (ROS) and subsequent transient oxidative damage, which also upregulates counterbalancing endogenous antioxidants to protect from ROS-induced damage and inflammation. Exercise elevates heme oxygenase-1 (HO-1) and biliverdin reductase A (BVRA) expression as built-in protective mechanisms, which produce the most potent antioxidant, bilirubin. Together, these mitigate inflammation and adiposity. Moderately raising plasma bilirubin protects in two ways: (1) via its antioxidant capacity to reduce ROS and inflammation, and (2) its newly defined function as a hormone that activates the nuclear receptor transcription factor PPARα. It is now understood that increasing plasma bilirubin can also drive metabolic adaptions, which improve deleterious outcomes of weight gain and obesity, such as inflammation, type II diabetes, and cardiovascular diseases. The main objective of this review is to describe the function of bilirubin as an antioxidant and metabolic hormone and how the HO-1-BVRA-bilirubin-PPARα axis influences inflammation, metabolic function and interacts with exercise to improve outcomes of weight management.
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24
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Flack KD, Anderson RE, McFee KF, Kryscio R, Rush CR. Exercise Increases Attentional Bias Towards Food Cues in Individuals Classified as Overweight to Obese. Physiol Behav 2022; 247:113711. [PMID: 35066060 PMCID: PMC8845497 DOI: 10.1016/j.physbeh.2022.113711] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/18/2022] [Accepted: 01/19/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND The obesity epidemic continues to be a major public health concern. Although exercise is the most common weight loss recommendation, weight loss outcomes from an exercise program are often suboptimal. The human body compensates for a large percentage of the energy expended through exercise to maintain energy homeostasis and body weight. Increases in energy intake appear to be the most impactful compensatory behavior. Research on the mechanisms driving this behavior has not been fully elucidated. PURPOSE To determine if exercise influences the attentional processing towards food cues (attentional bias) and inhibitory control for food cues among individuals classified as overweight to obese who do not exercise. METHODS Thirty adults classified as overweight to obese participated in a counterbalanced, crossover trial featuring two assessment visits on separate days separated by at least one week. Attentional bias and inhibitory control towards food cues was assessed prior to and after a bout of exercise where participants expended 500 kcal (one assessment visit) and before and after a 60 min bout of watching television (second assessment visit). Attentional bias was conceptualized as the percentage of time fixated on food cues when both food and neutral (non-food) cues were presented during a food-specific dot-probe task. Inhibitory control, specifically motor impulsivity, was assessed as percentage of inhibitory failures during a food-specific Go/NoGo task. RESULTS A significant condition by time effect was observed for attentional bias towards food cues, independent of hunger, whereas attentional bias towards food cues was increased pre-post exercise but not after watching TV. Inhibitory control was not affected by exercise or related to attentional bias for food cues. CONCLUSIONS An acute bout of exercise increased attentional bias for food cues, pointing to a mechanism that may contribute to the weight loss resistance observed with exercise. Future trials are needed to evaluate attentional bias towards food cues over a longitudinal exercise intervention.
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Affiliation(s)
- Kyle D Flack
- Department of Dietetics and Human Nutrition, College of Agriculture, University of Kentucky, Lexington, KY United States.
| | - Robert E Anderson
- Department of Dietetics and Human Nutrition, College of Agriculture, University of Kentucky, Lexington, KY United States
| | - Kylie F McFee
- Department of Dietetics and Human Nutrition, College of Agriculture, University of Kentucky, Lexington, KY United States.
| | - Richard Kryscio
- Department of Statistics, University of Kentucky, Lexington, KY United States
| | - Craig R Rush
- Department of Behavioral Sciences, College of Medicine, University of Kentucky, Lexington, KY United States; Department of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY United States; Department of Psychology, College of Arts and Sciences, University of Kentucky, Lexington, KY United States
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25
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Huang S, Sha S, Du W, Zhang H, Wu X, Jiang C, Zhao Y, Yang J. The association between living environmental factors and adolescents' body weight: a cross-sectional study. BMC Pediatr 2021; 21:572. [PMID: 34903204 PMCID: PMC8667439 DOI: 10.1186/s12887-021-03054-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 12/05/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The effect of the living environment on public health has received increasingly scholarly attention. This study aims to explore the relationship between adolescents' body weight and their living environmental factors. METHODS This cross-sectional study comprised 1362 middle-school students from Nanjing and 826 from Changzhou in China. We further collected information on living environmental factors based on their home address and ran multivariate logistic regressions to explore potential correlations after considering a range of potential confounding factors. RESULTS Approximately 25% (n = 303) of students from Nanjing and 26% (n = 205) of students from Changzhou were excessive body weight. In Nanjing, students' BMI (Body Mass Index) showed a strong negative correlation with the number of sports venues in their neighborhood (Adjusted Odds Ratio (AOR): 0.64, 95%CI: 0.40-0.94) after controlling for other covariates. In Changzhou, we observed a positive correlation between adolescents' body weight and the number of bus stops in their neighbourhood (AOR:1.63, 95%CI:1.11-2.38). CONCLUSIONS The living environment factors were independently associated with teenagers' excessive body weight. We hypothesis that the environmental risk factors might be associated with political management, which will consequently affect personal health outcomes. Further research and proactive measures are required to manage those potential risks and attenuate the problem.
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Affiliation(s)
- Siyi Huang
- Youth Sport Research & Development Center, China Institute of Sport Science, Beijing, China.
- Department of Sport and Exercise Science, Zhejiang University, Hangzhou, China.
| | - Sha Sha
- Australian National University College of Medicine Biology and Environment, Canberra, Australia
| | - Wei Du
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education; School of Public Health, Southeast University, Nanjing, China
| | - Hanwen Zhang
- Australian National University College of Medicine Biology and Environment, Canberra, Australia
| | - Xinyi Wu
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chongmin Jiang
- Youth Sport Research & Development Center, China Institute of Sport Science, Beijing, China
| | - Yan Zhao
- School of Sports and Health, Nanjing Sport Institute, Nanjing, China
| | - Jie Yang
- Jiangsu Province CDC: Jiangsu Province Center for Disease Control and Prevention, Nanjing, China
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26
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Matos VAF, de Souza DC, Browne RAV, Dos Santos VOA, Medeiros ÍF, do Nascimento PRP, Costa EC, Fayh APT. A single session of low-volume high-intensity interval and moderate-intensity continuous exercise elicits a transient reduction in ghrelin levels, but not in post-exercise energy intake in obese men. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2021; 65:98-104. [PMID: 33166437 PMCID: PMC10528704 DOI: 10.20945/2359-3997000000308] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 09/14/2020] [Indexed: 11/23/2022]
Abstract
OBJECTIVE This study investigated the acute effects of high-intensity interval (HIIE) and moderate-intensity continuous (MICE) exercise on ghrelin levels in obese men. METHODS A total of 10 obese men (age 27.6 ± 1.8 years, body mass index 35.4 ± 4.5 kg/m2, body fat 39.9 ± 2.1%) performed two exercise sessions in a randomized order: HIIE (10 × 1 min intervals at 90% of the maximal heart rate [HRmax] interspersed by 1 min of active recovery) and MICE (20 min at 70% of the HRmax). Ghrelin levels were assessed pre-, post- and 1h post-exercise, and energy intake was assessed 1h post-exercise through an ad libitum meal. RESULTS HIIE and MICE showed a trend to decrease ghrelin levels immediately post-exercise (-14.1 ± 21.6% and -9.6 ± 23.8%, respectively, p = 0.07) and decreased 1h post-exercise (-12.7 ± 31.8% and -13.8 ± 21.7%, respectively, p < 0.05). No changes were observed for post-exercise energy intake (p > 0.05). There was a positive correlation between the change in ghrelin levels and post-exercise energy intake only for HIIE (r = 0.63, p = 0.05). CONCLUSION In summary, a single session of HIIE and MICE elicits a reduction on ghrelin levels without changing post-exercise energy intake in obese men.
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Affiliation(s)
| | - Daniel Costa de Souza
- Programa de Pós-Graduação em Educação Física, Universidade Federal do Rio Grande do Norte, Natal, RN, Brasil
| | | | | | - Ítalo Freire Medeiros
- Departamento de Nutrição, Universidade Federal do Rio Grande do Norte, Natal, RN, Brasil
| | | | - Eduardo Caldas Costa
- Programa de Pós-Graduação em Educação Física, Universidade Federal do Rio Grande do Norte, Natal, RN, Brasil
| | - Ana Paula Trussardi Fayh
- Programa de Pós-Graduação em Educação Física, Universidade Federal do Rio Grande do Norte, Natal, RN, Brasil
- Departamento de Nutrição, Universidade Federal do Rio Grande do Norte, Natal, RN, Brasil,
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27
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Tripette J, Gando Y, Murakami H, Kawakami R, Tanisawa K, Ohno H, Konishi K, Tanimoto M, Tanaka N, Kawano H, Yamamoto K, Morishita A, Iemitsu M, Sanada K, Miyatake N, Miyachi M. Effect of a 1-year intervention comprising brief counselling sessions and low-dose physical activity recommendations in Japanese adults, and retention of the effect at 2 years: a randomized trial. BMC Sports Sci Med Rehabil 2021; 13:133. [PMID: 34696811 PMCID: PMC8543897 DOI: 10.1186/s13102-021-00360-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/11/2021] [Indexed: 11/25/2022]
Abstract
Background In an effort to increase people’s adherence to active lifestyles, contemporary physical activity (PA) guidelines now include low-dose PA. Methods PA was evaluated in 583 participants of the Nutritional and Physical Activity Intervention Study (NEXIS) cohort (30–65 years old); 349 inactive participants (MVPA, 2.7 ± 1.0 MET-h/day) were randomly assigned to the intervention or control groups, and 235 active participants participated in follow-up visits. The intervention aimed to increase MVPA and comprised five brief counseling sessions over 1 year. The 1-year target for the participant was increasing their step-count to 10,000 steps/d or +3000 steps/d, relative to the baseline score. The counseling sessions were designed to stimulate progressive changes in physical behaviors by recommendations promoting small and/or light-intensity bouts of PA. PA was measured at baseline, the end of the intervention, and 1 year after the intervention ended. Additionally, several nutrition, health, and fitness parameters were measured. Results Participants in the intervention group significantly increased their step-count from 8415 ± 1924 at baseline to 9493 ± 2575 at the end of the 1-year period. During the same period, MVPA significantly increased by 0.9 MET-h. The daily time spent in ≥ 3, ≥ 4 and ≥ 5 MET activities increased by 11, 6, and 3 min, respectively. This increase in PA remained observable 1 year after intervention concluded. The active group maintained higher physical activity levels throughout the two years. The intervention group showed smaller energy intakes at the end of the 2-year period. Significant correlations were noted between the 1-year change in MVPA and the change in resting heart rate (r = − 0.22), and between the 2-year change in MVPA and the change in waist circumference (r = − 0.08) and peak oxygen consumption capacity (r = 0.23) in the intervention group only. Conclusions A prolonged and progressive PA intervention promoting small bouts of light-to-moderate PA may be used in healthy, not-optimally-active people to increase PA beyond the strict period of the intervention. Further studies are necessary to understand whether low-dose PA messages can be effective in initiating a progressive increase toward larger amounts of PA. Trial registration: Clinical Trials.gov, NCT00926744, retrospectively registered. Supplementary Information The online version contains supplementary material available at 10.1186/s13102-021-00360-7.
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Affiliation(s)
- Julien Tripette
- Center for Interdisciplinary AI and Data Science, Ochanomizu University, Bunkyo, Tokyo, Japan.,Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku, Tokyo, Japan
| | - Yuko Gando
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku, Tokyo, Japan.,Faculty of Sports Science, Surugadai University, Hanno, Saitama, Japan
| | - Haruka Murakami
- Faculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Ryoko Kawakami
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan
| | - Kumpei Tanisawa
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan
| | - Harumi Ohno
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku, Tokyo, Japan.,Faculty of Health Care, Kiryu University, Midori, Gunma, Japan
| | - Kana Konishi
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku, Tokyo, Japan.,Faculty of Food and Nutritional Sciences, Toyo University, Itakura, Gunma, Japan
| | - Michiya Tanimoto
- Faculty of Biology-Oriented Science and Technology, Kindai University, Kinokawa, Wakayama, Japan
| | - Noriko Tanaka
- Research Center of Health, Physical Fitness and Sports, University of Nagoya, Nagoya, Aichi, Japan
| | - Hiroshi Kawano
- Faculty of Letters, Kokushikan University, Setagaya, Tokyo, Japan
| | - Kenta Yamamoto
- Faculty of Pharmaceutical Sciences, Teikyo Heisei University, Nakano, Tokyo, Japan
| | - Akie Morishita
- Okayama Southern Institute of Health, Okayama Health Foundation, Okayama, Okayama, Japan
| | - Motoyuki Iemitsu
- Faculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Kiyoshi Sanada
- Faculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Shiga, Japan
| | | | - Motohiko Miyachi
- Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku, Tokyo, Japan. .,Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan.
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28
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Careau V, Halsey LG, Pontzer H, Ainslie PN, Andersen LF, Anderson LJ, Arab L, Baddou I, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Buchowski MS, Butte NF, Camps SGJA, Close GL, Cooper JA, Das SK, Cooper R, Dugas LR, Eaton SD, Ekelund U, Entringer S, Forrester T, Fudge BW, Goris AH, Gurven M, Hambly C, El Hamdouchi A, Hoos MB, Hu S, Joonas N, Joosen AM, Katzmarzyk P, Kempen KP, Kimura M, Kraus WE, Kushner RF, Lambert EV, Leonard WR, Lessan N, Martin CK, Medin AC, Meijer EP, Morehen JC, Morton JP, Neuhouser ML, Nicklas TA, Ojiambo RM, Pietiläinen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich RA, Racette SB, Raichlen DA, Ravussin E, Reilly JJ, Reynolds RM, Roberts SB, Schuit AJ, Sjödin AM, Stice E, Urlacher SS, Valenti G, Van Etten LM, Van Mil EA, Wells JCK, Wilson G, Wood BM, Yanovski J, Yoshida T, Zhang X, Murphy-Alford AJ, Loechl CU, Luke AH, Rood J, Sagayama H, Schoeller DA, Wong WW, Yamada Y, Speakman JR. Energy compensation and adiposity in humans. Curr Biol 2021; 31:4659-4666.e2. [PMID: 34453886 PMCID: PMC8551017 DOI: 10.1016/j.cub.2021.08.016] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/30/2021] [Accepted: 08/04/2021] [Indexed: 12/26/2022]
Abstract
Understanding the impacts of activity on energy balance is crucial. Increasing levels of activity may bring diminishing returns in energy expenditure because of compensatory responses in non-activity energy expenditures.1-3 This suggestion has profound implications for both the evolution of metabolism and human health. It implies that a long-term increase in activity does not directly translate into an increase in total energy expenditure (TEE) because other components of TEE may decrease in response-energy compensation. We used the largest dataset compiled on adult TEE and basal energy expenditure (BEE) (n = 1,754) of people living normal lives to find that energy compensation by a typical human averages 28% due to reduced BEE; this suggests that only 72% of the extra calories we burn from additional activity translates into extra calories burned that day. Moreover, the degree of energy compensation varied considerably between people of different body compositions. This association between compensation and adiposity could be due to among-individual differences in compensation: people who compensate more may be more likely to accumulate body fat. Alternatively, the process might occur within individuals: as we get fatter, our body might compensate more strongly for the calories burned during activity, making losing fat progressively more difficult. Determining the causality of the relationship between energy compensation and adiposity will be key to improving public health strategies regarding obesity.
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Affiliation(s)
- Vincent Careau
- Department of Biology, University of Ottawa, Ottawa, ON, Canada.
| | - Lewis G Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK.
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA; Duke Global Health Institute, Duke University, Durham, NC, USA.
| | - Philip N Ainslie
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Lene F Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway
| | | | - Lenore Arab
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Issad Baddou
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN, Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Kénitra, Morocco
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Stephane Blanc
- Nutritional Sciences, University of Georgia, Athens, GA, USA; Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, Strasbourg UMR7178, France
| | | | - Carlijn V C Bouten
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Maciej S Buchowski
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Nancy F Butte
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | | | - Graeme L Close
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Jamie A Cooper
- Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
| | - Richard Cooper
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
| | - Lara R Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA; Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Simon D Eaton
- Developmental Biology & Cancer Department, University College London, London, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany; University of California, Irvine, Irvine, CA, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica
| | | | | | - Michael Gurven
- Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, USA
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN, Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Kénitra, Morocco
| | | | - Sumei Hu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Noorjehan Joonas
- Central Health Laboratory, Ministry of Health and Wellness, Port Louis, Mauritius
| | | | | | | | - Misaka Kimura
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | | | | | - Estelle V Lambert
- Health through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - William R Leonard
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Nader Lessan
- Imperial College London Diabetes Centre, Abu Dhabi, UAE, Imperial College London, London, UK
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Anine C Medin
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway; Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, 4630 Kristiansand, Norway
| | | | - James C Morehen
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK; The FA Group, Burton-Upon-Trent, Staffordshire, UK
| | - James P Morton
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Theresa A Nicklas
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | - Robert M Ojiambo
- Moi University, Eldoret, Kenya; University of Global Health Equity, Kigali, Rwanda
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki and Obesity Center, Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, the Netherlands
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and School of Public Health, University of Washington, Seattle, WA, USA
| | | | - Susan B Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Raichlen
- Biological Sciences and Anthropology, University of Southern California, Los Angeles, CA, USA
| | - Eric Ravussin
- Central Health Laboratory, Ministry of Health and Wellness, Port Louis, Mauritius
| | | | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Susan B Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
| | | | - Anders M Sjödin
- Department of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark
| | | | | | | | | | - Edgar A Van Mil
- Maastricht University, Maastricht and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital's-Hertogenbosch, Maastricht, the Netherlands
| | - Jonathan C K Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - George Wilson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Brian M Wood
- University of California, Los Angeles, Los Angeles, USA; Max Planck Institute for Evolutionary Anthropology, Department of Human Behavior, Ecology, and Culture, Leipzig, Germany
| | - Jack Yanovski
- Growth and Obesity, Division of Intramural Research, NIH, Bethesda, MD, USA
| | - Tsukasa Yoshida
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | - Xueying Zhang
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Alexia J Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia U Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Amy H Luke
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, USA.
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, USA.
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan.
| | - Dale A Schoeller
- Biotech Center and Nutritional Sciences, University of Wisconsin, Madison, WI, USA.
| | - William W Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA.
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan; Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan.
| | - John R Speakman
- Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; Shenzhen Key Laboratory of Metabolic Health, CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China.
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29
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Daily energy expenditure in rats following structured exercise training is affected by dietary phosphorus content. Br J Nutr 2021; 126:1110-1120. [PMID: 33298199 DOI: 10.1017/s0007114520004985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
P ingestion has been found to alter energy balance, while regular physical exercise (E) was reported to be associated with energy compensation. However, it is not clear whether dietary P would affect energy compensation following structured E. Two experiments were performed, low P (LP) (0·1, 0·2 and 0·3 %P) and high P (HP) (0·3 , 0·6 and 1·2 %P) diets. In each experiment, male rats were randomly divided into three groups (n 8), in which a sedentary or a moderate-intensity exercise routine (30 min 5 d a week) was implemented. Energy intake (EI); efficiency and stores; body measures and total energy expenditure (TEEx) were monitored for 6 weeks. In the LP experiment, EI and weight gain were the lowest in the 0·1 and 0·2 %P as compared with the 0·3 %P. In the HP experiment, EI was highest in the high P (0·6 and 1·2 %P) groups, while weight gain was reduced. In both experiments, exercise was able to reduce body fat accumulation and to maintain a higher % lean body mass. In the LP diets experiment, the similarity in TEEx between the sedentary and exercising groups suggests the probability of a reduction in normal daily activities, which indicates the presence of compensation for the energy expended during exercise by a subsequent reduction in EE. In contrast, the elevated TEEx in the HP exercising groups (0·6 and 1·2 %P) argue against the presence of energy compensation. In conclusion, high dietary P decreases the body's capability to compensate for the energy deficit induced by E, consequently maintaining an elevated TEEx.
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30
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Löffler MC, Betz MJ, Blondin DP, Augustin R, Sharma AK, Tseng YH, Scheele C, Zimdahl H, Mark M, Hennige AM, Wolfrum C, Langhans W, Hamilton BS, Neubauer H. Challenges in tackling energy expenditure as obesity therapy: From preclinical models to clinical application. Mol Metab 2021; 51:101237. [PMID: 33878401 PMCID: PMC8122111 DOI: 10.1016/j.molmet.2021.101237] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/31/2021] [Accepted: 04/13/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND A chronic imbalance of energy intake and energy expenditure results in excess fat storage. The obesity often caused by this overweight is detrimental to the health of millions of people. Understanding both sides of the energy balance equation and their counter-regulatory mechanisms is critical to the development of effective therapies to treat this epidemic. SCOPE OF REVIEW Behaviors surrounding ingestion have been reviewed extensively. This review focuses more specifically on energy expenditure regarding bodyweight control, with a particular emphasis on the organs and attractive metabolic processes known to reduce bodyweight. Moreover, previous and current attempts at anti-obesity strategies focusing on energy expenditure are highlighted. Precise measurements of energy expenditure, which consist of cellular, animal, and human models, as well as measurements of their translatability, are required to provide the most effective therapies. MAJOR CONCLUSIONS A precise understanding of the components surrounding energy expenditure, including tailored approaches based on genetic, biomarker, or physical characteristics, must be integrated into future anti-obesity treatments. Further comprehensive investigations are required to define suitable treatments, especially because the complex nature of the human perspective remains poorly understood.
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Affiliation(s)
- Mona C Löffler
- Cardio Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach, Germany
| | - Matthias J Betz
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Basel, Basel, Switzerland
| | - Denis P Blondin
- Department of Medicine, Division of Neurology, Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Université de Sherbrooke, QC, Canada
| | - Robert Augustin
- Cardio Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach, Germany
| | - Anand K Sharma
- Institute of Food, Nutrition and Health, ETH Zürich, Schwerzenbach, Switzerland
| | - Yu-Hua Tseng
- Joslin Diabetes Center, Section on Integrative Physiology and Metabolism, Harvard Medical School, Boston, MA, USA; Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
| | - Camilla Scheele
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
| | - Heike Zimdahl
- Cardio Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach, Germany
| | - Michael Mark
- Cardio Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach, Germany
| | - Anita M Hennige
- Therapeutic Area CardioMetabolism & Respiratory, Boehringer Ingelheim International GmbH, Biberach, Germany
| | - Christian Wolfrum
- Institute of Food, Nutrition and Health, ETH Zürich, Schwerzenbach, Switzerland
| | - Wolfgang Langhans
- Physiology and Behavior Laboratory, Department of Health Sciences and Technology, ETH Zürich, Switzerland
| | - Bradford S Hamilton
- Cardio Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach, Germany
| | - Heike Neubauer
- Cardio Metabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach, Germany.
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31
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Mañas A, Gómez-Redondo P, Valenzuela PL, Morales JS, Lucía A, Ara I. Unsupervised home-based resistance training for community-dwelling older adults: A systematic review and meta-analysis of randomized controlled trials. Ageing Res Rev 2021; 69:101368. [PMID: 34022464 DOI: 10.1016/j.arr.2021.101368] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 05/07/2021] [Accepted: 05/17/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND We aimed to summarize evidence on the safety, adherence and effectiveness of home-based resistance training (UHBRT) for improving health-related endpoints in community-dwelling older adults. METHODS Randomized controlled trials of UHBRT in older adults (≥60yrs) were included after a systematic search (PubMed, CINAHL, PsycInfo, SPORTDiscus, Web of Science, MEDLINE, Cochrane Central Register of Controlled Trials) until 02/19/2021. Adverse events and adherence rates were assessed as indicators of feasibility. Other endpoints included physical (muscle strength, muscle power, balance, physical performance) and mental-related measures (cognition, quality of life [QoL]) as well as other health-related variables (body composition, physical activity levels, falls). RESULTS 21 studies (N = 4,053) were included. No major adverse events were reported, with adherence averaging 67 % (range 47-97 %). UHBRT significantly improved lower-limb muscle strength (Hedges' g = 0.33; 95 % confidence interval [CI] = 0.11-0.57), muscle power measured through the sit-to-stand test (g = 0.44; 95 %CI = 0.06-0.84), and balance (assessed with the postural sway, g = 0.32; 95 %CI = 0.16-0.49). No benefits were found for other strength indices (handgrip strength), balance (single leg stance and functional reach test), physical performance (walking speed, TUG and SPPB), QoL, nor for the risk or rate of falls (all p > 0.05, g<0.61). No meta-analysis could be performed for the remaining endpoints. CONCLUSIONS Although efforts are needed to increase adherence, preliminary evidence suggests that UHBRT can be safe and modestly effective for improving some measures of lower-limb muscle strength, balance, and muscle power in community-dwelling older adults. However, no benefits were found for other physical fitness measures, QoL or falls. More evidence is therefore needed to draw definite conclusions.
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32
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Teo SYM, Kanaley JA, Guelfi KJ, Dimmock JA, Jackson B, Fairchild TJ. Effects of diurnal exercise timing on appetite, energy intake and body composition: A parallel randomized trial. Appetite 2021; 167:105600. [PMID: 34284064 DOI: 10.1016/j.appet.2021.105600] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 07/11/2021] [Accepted: 07/12/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To determine the effect of diurnal exercise timing on appetite, energy intake and body composition in individuals with overweight or obesity. METHODS Forty sedentary, individuals with overweight or obesity (17 males, 23 females; age: 51 ± 13 years; BMI: 30.9 ± 4.2 kg/m2) were randomly allocated to complete a 12-week supervised multi-modal exercise training program performed either in the morning (amEX) or evening (pmEX). Outcome measures included appetite in response to a standardised test meal, daily energy intake (EI), body weight and body composition. Measures of dietary behaviour were assessed at baseline and post-intervention, along with habitual physical activity, sleep quality and sleep quantity. Significance was set at p ≤ .05 and Hedge's g effect sizes were calculated. RESULTS Regardless of timing, exercise training increased perceived fullness (AUC; g = 0.82-1.67; both p < .01), decreased daily EI (g = 0.73-0.93; both p < .01) and body-fat (g = 0.29-0.32; both p <. 01). The timing of exercise did not change the daily EI or body-fat response to training (all p ≥ .27), however, perceived fullness increased in the amEX group (p ≤ .01). DISINHIBITION: (g = 0.35-1.95; p ≤ .01) and Hunger (g = 0.05-0.4; p = .02) behaviours decreased following exercise training, with Disinhibition demonstrating greater improvements in the pmEX group (p = .01). Objective and subjective sleep quantity increased with training (all p ≤ .01), but sleep quality was not reported to change. CONCLUSIONS Multi-modal exercise training improved body composition and some appetite outcomes, although changes were inconsistent and largely independent of exercise-timing. In the absence of dietary manipulation, the effect of diurnal exercise timing on appetite and body composition appear trivial compared to the overall benefits of exercise participation.
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Affiliation(s)
- Shaun Y M Teo
- Discipline of Exercise Science, Murdoch University, Australia; The Centre for Molecular Medicine and Innovative Therapeutics, Health Futures Institute, Australia.
| | - Jill A Kanaley
- Department of Nutrition & Exercise Physiology, University of Missouri, USA.
| | - Kym J Guelfi
- School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Australia.
| | | | - Ben Jackson
- School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Australia; Telethon Kids Institute, Australia.
| | - Timothy J Fairchild
- Discipline of Exercise Science, Murdoch University, Australia; The Centre for Molecular Medicine and Innovative Therapeutics, Health Futures Institute, Australia.
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Beaulieu K, Blundell JE, van Baak MA, Battista F, Busetto L, Carraça EV, Dicker D, Encantado J, Ermolao A, Farpour-Lambert N, Pramono A, Woodward E, Bellicha A, Oppert JM. Effect of exercise training interventions on energy intake and appetite control in adults with overweight or obesity: A systematic review and meta-analysis. Obes Rev 2021; 22 Suppl 4:e13251. [PMID: 33949089 PMCID: PMC8365695 DOI: 10.1111/obr.13251] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 12/13/2022]
Abstract
This systematic review examined the impact of exercise training interventions on energy intake (EI) and appetite control in adults with overweight/obesity (≥18 years including older adults). Articles were searched up to October 2019. Changes in EI, fasting appetite sensations, and eating behavior traits were examined with random effects meta-analysis, and other outcomes were synthesized qualitatively. Forty-eight articles were included (median [range] BMI = 30.6 [27.0-38.4] kg/m2 ). Study quality was rated as poor, fair, and good in 39, seven, and two studies, respectively. Daily EI was assessed objectively (N = 4), by self-report (N = 22), with a combination of the two (N = 4) or calculated from doubly labeled water (N = 1). In studies rated fair/good, no significant changes in pre-post daily EI were found and a small but negligible (SMD < 0.20) postintervention difference when compared with no-exercise control groups was observed (five study arms; MD = 102 [1, 203] kcal). There were negligible-to-small pre-post increases in fasting hunger and dietary restraint, decrease in disinhibition, and some positive changes in satiety and food reward/preferences. Within the limitations imposed by the quality of the included studies, exercise training (median duration of 12 weeks) leads to a small increase in fasting hunger and a small change in average EI only in studies rated fair/good. Exercise training may also reduce the susceptibility to overconsumption (PROSPERO: CRD42019157823).
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Affiliation(s)
- Kristine Beaulieu
- Appetite Control and Energy Balance Research Group (ACEB), School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - John E Blundell
- Appetite Control and Energy Balance Research Group (ACEB), School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Marleen A van Baak
- NUTRIM School for Nutrition and Translational Research in Metabolism, Department of Human Biology, Maastricht University, Maastricht, The Netherlands
| | - Francesca Battista
- Sport and Exercise Medicine Division, Department of Medicine, University of Padova, Padova, Italy
| | - Luca Busetto
- Obesity Management Task Force (OMTF), European Association for the Study of Obesity (EASO), Teddington, UK.,Department of Medicine, University of Padova, Padova, Italy
| | - Eliana V Carraça
- Faculdade de Educação Física e Desporto, CIDEFES, Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal
| | - Dror Dicker
- Obesity Management Task Force (OMTF), European Association for the Study of Obesity (EASO), Teddington, UK.,Department of Internal Medicine D, Hasharon Hospital, Rabin Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jorge Encantado
- APPsyCI - Applied Psychology Research Center Capabilities & Inclusion, ISPA - University Institute, Lisbon, Portugal
| | - Andrea Ermolao
- Sport and Exercise Medicine Division, Department of Medicine, University of Padova, Padova, Italy
| | - Nathalie Farpour-Lambert
- Obesity Management Task Force (OMTF), European Association for the Study of Obesity (EASO), Teddington, UK.,Obesity Prevention and Care Program Contrepoids, Service of Therapeutic Education for Chronic Diseases, Department of Community Medicine, Primary Care and Emergency, University Hospitals of Geneva and University of Geneva, Geneva, Switzerland
| | - Adriyan Pramono
- NUTRIM School for Nutrition and Translational Research in Metabolism, Department of Human Biology, Maastricht University, Maastricht, The Netherlands
| | - Euan Woodward
- Obesity Management Task Force (OMTF), European Association for the Study of Obesity (EASO), Teddington, UK
| | - Alice Bellicha
- INSERM, Nutrition and obesities: systemic approaches, NutriOmics, Sorbonne University, Paris, France.,UFR SESS-STAPS, University Paris-Est Créteil, Créteil, France
| | - Jean-Michel Oppert
- Assistance Publique-Hôpitaux de Paris (AP-HP), Pitié-Salpêtrière hospital, Department of Nutrition, Institute of Cardiometabolism and Nutrition, Sorbonne Université, Paris, France
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Kuiper-Makris C, Selle J, Nüsken E, Dötsch J, Alejandre Alcazar MA. Perinatal Nutritional and Metabolic Pathways: Early Origins of Chronic Lung Diseases. Front Med (Lausanne) 2021; 8:667315. [PMID: 34211985 PMCID: PMC8239134 DOI: 10.3389/fmed.2021.667315] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022] Open
Abstract
Lung development is not completed at birth, but expands beyond infancy, rendering the lung highly susceptible to injury. Exposure to various influences during a critical window of organ growth can interfere with the finely-tuned process of development and induce pathological processes with aberrant alveolarization and long-term structural and functional sequelae. This concept of developmental origins of chronic disease has been coined as perinatal programming. Some adverse perinatal factors, including prematurity along with respiratory support, are well-recognized to induce bronchopulmonary dysplasia (BPD), a neonatal chronic lung disease that is characterized by arrest of alveolar and microvascular formation as well as lung matrix remodeling. While the pathogenesis of various experimental models focus on oxygen toxicity, mechanical ventilation and inflammation, the role of nutrition before and after birth remain poorly investigated. There is accumulating clinical and experimental evidence that intrauterine growth restriction (IUGR) as a consequence of limited nutritive supply due to placental insufficiency or maternal malnutrition is a major risk factor for BPD and impaired lung function later in life. In contrast, a surplus of nutrition with perinatal maternal obesity, accelerated postnatal weight gain and early childhood obesity is associated with wheezing and adverse clinical course of chronic lung diseases, such as asthma. While the link between perinatal nutrition and lung health has been described, the underlying mechanisms remain poorly understood. There are initial data showing that inflammatory and nutrient sensing processes are involved in programming of alveolarization, pulmonary angiogenesis, and composition of extracellular matrix. Here, we provide a comprehensive overview of the current knowledge regarding the impact of perinatal metabolism and nutrition on the lung and beyond the cardiopulmonary system as well as possible mechanisms determining the individual susceptibility to CLD early in life. We aim to emphasize the importance of unraveling the mechanisms of perinatal metabolic programming to develop novel preventive and therapeutic avenues.
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Affiliation(s)
- Celien Kuiper-Makris
- Department of Pediatric and Adolescent Medicine, Translational Experimental Pediatrics—Experimental Pulmonology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jaco Selle
- Department of Pediatric and Adolescent Medicine, Translational Experimental Pediatrics—Experimental Pulmonology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Eva Nüsken
- Department of Pediatric and Adolescent Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jörg Dötsch
- Department of Pediatric and Adolescent Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Miguel A. Alejandre Alcazar
- Department of Pediatric and Adolescent Medicine, Translational Experimental Pediatrics—Experimental Pulmonology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Excellence Cluster on Stress Responses in Aging-associated Diseases (CECAD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Member of the German Centre for Lung Research (DZL), Institute for Lung Health, University of Giessen and Marburg Lung Centre (UGMLC), Gießen, Germany
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Horner KM, Byrne NM, King NA. Effect of Combined Interval and Continuous Exercise Training on Gastric Emptying, Appetite, and Adaptive Responses in Men With Overweight and Obesity. Front Nutr 2021; 8:654902. [PMID: 34124120 PMCID: PMC8192796 DOI: 10.3389/fnut.2021.654902] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 04/26/2021] [Indexed: 12/30/2022] Open
Abstract
Background/Objectives: Characterizing compensatory and adaptive responses to exercise assists in understanding changes in energy balance and health outcomes with exercise interventions. This study investigated the effects of a short-term exercise intervention (combining high intensity interval (HII) and continuous exercise) on (1) gastric emptying, appetite and energy intake; and (2) other adaptive responses including cardiorespiratory fitness, in inactive men with overweight/obesity. Methods: Fifteen men (BMI: 29.7 ± 3.3 kg/m-2) completed a 4-wk supervised exercise intervention, consisting of 5 exercise sessions per week alternating between HII (30 s at 100% VO2max followed by 30 s recovery) and continuous (at 50% VO2max) training on a cycle ergometer, progressing from 30 to 45 min session duration. Gastric emptying (13C-octanoic acid breath test), appetite (visual analog scale), energy intake (ad libitum lunch meal), body composition (air displacement plethysmography), non-exercise activity (accelerometery) VO2max, blood pressure, and fasting concentrations of glucose, insulin, and ghrelin were measured before and after (≥48 h) the intervention. Results: Gastric emptying, glucose, insulin and ghrelin were unchanged, but energy intake at the ad libitum lunch test meal significantly increased at post-intervention (+171 ± 116 kcal, p < 0.01). Body weight (-0.9 ± 1.1 kg), waist circumference (-2.3 ± 3.5 cm) and percent body fat (-0.9 ± 1.1%) were modestly reduced (P < 0.05). VO2max increased (+4.4 ± 2.1 ml.kg.min-1) by 13% and systolic (-6.2 ± 8.4 mmHg) and diastolic (-5.8 ± 2.2 mmHg) blood pressure were significantly reduced (P ≤ 0.01 for all). Conclusions: Four weeks of exercise training did not alter gastric emptying, indicating gastric emptying may only adapt to a higher volume/longer duration of exercise or changes in other characteristics associated with regular exercise. The combination of HII and continuous exercise training had beneficial effects on body composition, cardiorespiratory fitness, and blood pressure and warrants further investigation in larger randomized controlled trials.
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Affiliation(s)
- Katy M. Horner
- School of Public Health, Physiotherapy and Sport Sciences, Institute for Sport and Health and Institute of Food and Health, University College Dublin, Dublin, Ireland
- School of Exercise and Nutrition Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Nuala M. Byrne
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Neil A. King
- School of Exercise and Nutrition Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
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Flack KD, Hays HM, Moreland J, Long DE. Exercise for Weight Loss: Further Evaluating Energy Compensation with Exercise. Med Sci Sports Exerc 2021; 52:2466-2475. [PMID: 33064415 PMCID: PMC7556238 DOI: 10.1249/mss.0000000000002376] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Purpose This study assessed how individuals compensate for energy expended during a 12-wk aerobic exercise intervention, elucidating potential mechanisms and the role exercise dose plays in the compensatory response. Participants and Design Three-arm, randomized controlled trial among sedentary adults age 18 to 40 yr, body mass index of 25 to 35. Groups included six exercise sessions per week, two sessions per week, and sedentary control. Methods Rate of exercise energy expenditure was calculated from a graded exercise test averaged across five heart rate zones. Energy compensation was calculated as the difference between expected weight loss (based on exercise energy expenditure) and changes in fat and fat-free mass (DXA). Resting energy expenditure was assessed via indirect calorimetry and concentrations of acylated ghrelin, leptin, insulin, and Glucagon-like peptide 1 (GLP-1) were assessed fasting and postprandial (six timepoints over 2 h). Results The 6-d·wk−1 group expended more energy (2753.5 kcal) and exercised longer (320.5 min) per week than the 2-d·wk−1 group (1490.7 kcal, 1888.8 min, P < 0.05), resulting in greater fat loss compared with the 2-d or control groups (P < 0.05). Exercise groups did not differ in the % or total kcal compensated. Greater decreases in area under the curve (AUC) for acylated ghrelin predicted greater fat loss, regardless of group, energy expended per week, exercise duration, or exercise intensity. Changes in leptin AUC was the only independent predictor for energy compensation, with a greater decrease in leptin AUC predicting less energy compensation. Exercise frequency, energy expended, duration, or intensity did not influence energy compensation. Conclusions Leptin is an important factor in successful weight loss through exercise, with greater postprandial decreases promoting less compensation. Greater amounts of exercise do not influence the compensatory response to an exercise-induced energy deficit.
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Affiliation(s)
- Kyle D Flack
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, KY
| | - Harry M Hays
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, KY
| | - Jack Moreland
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, KY
| | - Douglas E Long
- College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, KY
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Halliday TM, White MH, Hild AK, Conroy MB, Melanson EL, Cornier MA. Appetite and Energy Intake Regulation in Response to Acute Exercise. Med Sci Sports Exerc 2021; 53:2173-2181. [PMID: 33831896 PMCID: PMC8440326 DOI: 10.1249/mss.0000000000002678] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE This study aimed to determine if energy intake and appetite regulation differ in response to an acute bout of resistance exercise (REx) versus aerobic exercise (AEx). METHODS Physically inactive adults (n = 24, 35% ± 2% body fat, 50% female) completed three conditions: AEx (walking at 65%-70% heart rate max for 45 min), REx (1 set to failure of 12 exercises), and sedentary control (SED). Each condition was initiated in the postprandial state (35 min after breakfast). Appetite (visual analog scale for hunger, satiety, and prospective food consumption) and hormones (ghrelin, peptide YY (PYY), and glucagon-like peptide-1 (GLP-1)) were measured before and 30, 90, 120, 150, and 180 min after a standardized breakfast. Area under the curve was calculated using the trapezoid method. Ad libitum energy intake was evaluated at a lunch meal after the 180-min measurements. RESULTS No differences in ad libitum energy intake (REx, 991 ± 68; AEx, 937 ± 65; SED, 944 ± 76 kcal; P = 0.50) or appetite ratings (all, P > 0.05) were detected. The area under the curve for ghrelin, PYY, and GLP-1 were all lower after REx versus AEx (ghrelin: 130,737 ± 4928 for REx; 143,708 ± 7500 for AEx (P = 0.006); PYY: 20,540 ± 1177 for REx, 23,812 ± 1592 for AEx (P = 0.001); and GLP-1: 1314 ± 93 for REx, 1615 ± 110 for AEx (P = 0.013)). Neither exercise condition significantly differed from SED. CONCLUSIONS Acute REx lowers both orexigenic (ghrelin) and anorectic (PYY and GLP-1) gut peptides compared with acute AEx. Ad libitum energy intake did not increase compared with SED in either exercise condition, indicating both exercise modalities have appetite and energy intake suppressing effects. Future work is needed to determine if exercise of differing modalities influences chronic appetite regulation.
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Affiliation(s)
| | - Mollie H White
- Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, CO
| | - Allison K Hild
- Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, CO
| | - Molly B Conroy
- Division of General Internal Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT
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Dohle S, Duncan MJ, Bucher T. Development and Validation of the Diet-Related Beliefs of Exercisers Scale. JOURNAL OF SPORT & EXERCISE PSYCHOLOGY 2021; 43:115-124. [PMID: 33691281 DOI: 10.1123/jsep.2020-0027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 09/12/2020] [Accepted: 09/22/2020] [Indexed: 06/12/2023]
Abstract
Many exercise-based weight-loss interventions result in considerably less weight loss than predicted. One possible explanation could be that people have certain beliefs about the interplay of exercise and food that also influence their eating behavior, such as the belief that food is a reward for exercise. The current research outlines a systematic multiphase process to develop a psychometrically sound scale to assess these beliefs. In Study 1, regular exercisers (N = 520) completed an exploratory questionnaire on their beliefs related to diet and exercise. In Study 2 (N = 380), the factor structure of the newly developed scale was corroborated by confirmatory factor analysis. In addition, a test-retest (N = 166) was used to confirm reliability and stability. In sum, the Diet-Related Beliefs of Exercisers Scale with its four subscales ("Refrain from Eating," "Food as Reward," "Healthy Eating," and "Nutritional Replenishment") represents a valid and reliable measure of exercisers' diet-related beliefs.
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Effects of exercise and diet intervention on appetite-regulating hormones associated with miRNAs in obese children. Eat Weight Disord 2021; 26:457-465. [PMID: 32072570 DOI: 10.1007/s40519-020-00869-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 02/05/2020] [Indexed: 02/07/2023] Open
Abstract
AIMS This study investigated the effects of exercise and diet intervention on appetite-regulating hormones and subjective appetite changes in obese children and examined expressions of specific key microRNAs (miRNA, miR). METHODS 16 obese children were included in a training program consisting of exercise and diet intervention for 6 weeks. Before and after the intervention, fasting blood was collected to determine appetite-regulating hormones (leptin, ghrelin, and orexin) and miRNA (miR-103a-3p and miR-200a-3p) levels; eating behavior of the children was reported using the Children Eating Behavior Questionnaire (CEBQ). RESULTS The level of orexin was significantly decreased (P < 0.05), while ghrelin was significantly enhanced (P < 0.05) after 6 weeks. The scores of food responsiveness (FR) and enjoyment of food (EF) of the CEBQ were significantly decreased (P < 0.05) after intervention. The changes of leptin and that of SR were significantly correlated (r = - 0.455, P < 0.05), and the correlation between the alterations of orexin and that of EF was moderate with significance (r = 0.625, P < 0.05). miR-103a-3p expression was not statistically changed, while miR-200a-3p was significantly inhibited after 6-week intervention (P < 0.05). The correlation between relative changes of miR-103a-3p and that of leptin and orexin were both with significant difference (r = 0.413, P < 0.05; r = 0.409, P < 0.05), whereas the alterations of miR-200a-3p were not correlative with hormones or appetite sensation. CONCLUSION Exercise combined with diet intervention for 6 weeks was effective in regulating appetite sensations and hormones in obese children, and miR-103a-3p and miR-200a-3p might provide a foundation for target biomarkers of appetite trait in modulating the energy balance control by exercise and dietary intervention. LEVEL OF EVIDENCE Level III, case-control analytic study. TRIAL REGISTRATION The trial was registered in ClinicalTrials.gov (NCT03762629).
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Heiskanen MA, Honkala SM, Hentilä J, Ojala R, Lautamäki R, Koskensalo K, Lietzén MS, Saunavaara V, Saunavaara J, Helmiö M, Löyttyniemi E, Nummenmaa L, Collado MC, Malm T, Lahti L, Pietiläinen KH, Kaprio J, Rinne JO, Hannukainen JC. Systemic cross-talk between brain, gut, and peripheral tissues in glucose homeostasis: effects of exercise training (CROSSYS). Exercise training intervention in monozygotic twins discordant for body weight. BMC Sports Sci Med Rehabil 2021; 13:16. [PMID: 33627179 PMCID: PMC7905681 DOI: 10.1186/s13102-021-00241-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 02/03/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Obesity and physical inactivity are major global public health concerns, both of which increase the risk of insulin resistance and type 2 diabetes. Regulation of glucose homeostasis involves cross-talk between the central nervous system, peripheral tissues, and gut microbiota, and is affected by genetics. Systemic cross-talk between brain, gut, and peripheral tissues in glucose homeostasis: effects of exercise training (CROSSYS) aims to gain new systems-level understanding of the central metabolism in human body, and how exercise training affects this cross-talk. METHODS CROSSYS is an exercise training intervention, in which participants are monozygotic twins from pairs discordant for body mass index (BMI) and within a pair at least the other is overweight. Twins are recruited from three population-based longitudinal Finnish twin studies, including twins born in 1983-1987, 1975-1979, and 1945-1958. The participants undergo 6-month-long exercise intervention period, exercising four times a week (including endurance, strength, and high-intensity training). Before and after the exercise intervention, comprehensive measurements are performed in Turku PET Centre, Turku, Finland. The measurements include: two positron emission tomography studies (insulin-stimulated whole-body and tissue-specific glucose uptake and neuroinflammation), magnetic resonance imaging (brain morphology and function, quantification of body fat masses and organ volumes), magnetic resonance spectroscopy (quantification of fat within heart, pancreas, liver and tibialis anterior muscle), echocardiography, skeletal muscle and adipose tissue biopsies, a neuropsychological test battery as well as biosamples from blood, urine and stool. The participants also perform a maximal exercise capacity test and tests of muscular strength. DISCUSSION This study addresses the major public health problems related to modern lifestyle, obesity, and physical inactivity. An eminent strength of this project is the possibility to study monozygotic twin pairs that share the genome at the sequence level but are discordant for BMI that is a risk factor for metabolic impairments such as insulin resistance. Thus, this exercise training intervention elucidates the effects of obesity on metabolism and whether regular exercise training is able to reverse obesity-related impairments in metabolism in the absence of the confounding effects of genetic factors. TRIAL REGISTRATION ClinicalTrials.gov , NCT03730610 . Prospectively registered 5 November 2018.
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Affiliation(s)
- Marja A Heiskanen
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
| | - Sanna M Honkala
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
| | - Jaakko Hentilä
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
| | - Ronja Ojala
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
| | | | - Kalle Koskensalo
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Martin S Lietzén
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
| | - Virva Saunavaara
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Mika Helmiö
- Division of Digestive Surgery and Urology, Turku University Hospital, Turku, Finland
| | | | - Lauri Nummenmaa
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
- Department of Psychology, University of Turku, Turku, Finland
| | - Maria C Collado
- Institute of Agrochemistry and Food Technology-National Research Council (IATA-CSIC), Valencia, Spain
- Functional Food Forum, University of Turku, Turku, Finland
| | - Tarja Malm
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Leo Lahti
- Department of Future Technologies, University of Turku, Turku, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Abdominal Center, Obesity Center, Endocrinology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Juha O Rinne
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland
- Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Jarna C Hannukainen
- Turku PET Centre, University of Turku, P.O. Box 52, FIN-20521, Turku, Finland.
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Mosalman Haghighi M, Mavros Y, Kay S, Simpson KA, Baker MK, Wang Y, Zhao RR, Meiklejohn J, Climstein M, O’Sullivan AJ, De Vos N, Baune BT, Blair SN, Simar D, Singh N, Schlicht J, Fiatarone Singh MA. The Effect of High-Intensity Power Training on Habitual, Intervention and Total Physical Activity Levels in Older Adults with Type 2 Diabetes: Secondary Outcomes of the GREAT2DO Randomized Controlled Trial. Geriatrics (Basel) 2021; 6:geriatrics6010015. [PMID: 33567586 PMCID: PMC7930974 DOI: 10.3390/geriatrics6010015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/20/2021] [Accepted: 02/02/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND We examined the effect of power training on habitual, intervention and total physical activity (PA) levels in older adults with type 2 diabetes and their relationship to metabolic control. MATERIALS AND METHODS 103 adults with type 2 diabetes were randomized to receive supervised power training or sham exercise three times/week for 12 months. Habitual, intervention, and total PA, as well as insulin resistance (HOMA2-IR) and glycosylated hemoglobin (HbA1c), were measured. RESULTS Participants were aged 67.9 ± 5.5 yrs, with well-controlled diabetes (HbA1c = 7.1%) and higher than average habitual PA levels compared to healthy peers. Habitual PA did not change significantly over 12 months (p = 0.74), and there was no effect of group assignment on change over time in habitual PA over 0-6 (p = 0.16) or 0-6-12 months (p = 0.51). By contrast, intervention PA, leg press tonnage and total PA increased over both 6- and 12-month timepoints (p = 0.0001), and these changes were significantly greater in the power training compared to the sham exercise group across timepoints (p = 0.0001). However, there were no associations between changes in any PA measures over time and changes in metabolic profile. CONCLUSION Structured high-intensity power training may be an effective strategy to enhance overall PA in this high-risk cohort.
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Affiliation(s)
- Marjan Mosalman Haghighi
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
- Correspondence: ; Tel.: +61-424971223
| | - Yorgi Mavros
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
| | - Shelley Kay
- Centre for Medical Psychology and Evidence Based Decision Making, Faculty of Medicine, University of Sydney, Camperdown 2050, Australia;
| | - Kylie A. Simpson
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
| | - Michael K. Baker
- School of Behavioural and Health Sciences, Australian Catholic University, Strathfield 2135, Australia;
| | - Yi Wang
- Lipid Metabolism & Cardiometabolic Disease Laboratory, Baker Heart and Diabetes Institute, Melbourne 3004, Australia;
| | - Ren Ru Zhao
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
- Clinical Rehabilitation Research Centre, University of Longyan, Longyan 364012, China
| | - Jacinda Meiklejohn
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
| | - Mike Climstein
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
- School of Health and Human Sciences, Southern Cross University, Gold Coast 4225, Australia
| | - Anthony J. O’Sullivan
- Department of Endocrinology, Faculty of Medicine, University of New South Wales, Sydney 2052, Australia;
| | - Nathan De Vos
- The Centre for STRONG Medicine, Balmain Hospital, Balmain 2041, Australia;
| | - Bernhard T. Baune
- Department of Psychiatry, University of Muenster, 48149 Muenster, Germany;
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne 3010, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville 3010, Australia
| | - Steven N. Blair
- Exercise Science Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA;
| | - David Simar
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney 2052, Australia;
| | - Nalin Singh
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
| | - Jeffrey Schlicht
- Department of Health Promotion and Exercise Sciences, Western Connecticut State University, Danbury, CT 06810, USA;
| | - Maria A. Fiatarone Singh
- Faculty of Medicine and Health, University of Sydney, Camperdown 2050, Australia; (Y.M.); (K.A.S.); (R.R.Z.); (J.M.); (M.C.); (N.S.); (M.A.F.S.)
- Sydney Medical School, University of Sydney, Camperdown 2050, Australia
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02129, USA
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Pauly T, Keller J, Knoll N, Michalowski VI, Hohl DH, Ashe MC, Gerstorf D, Madden KM, Hoppmann CA. Moving in Sync: Hourly Physical Activity and Sedentary Behavior are Synchronized in Couples. Ann Behav Med 2021; 54:10-21. [PMID: 31141606 DOI: 10.1093/abm/kaz019] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Overall time spent in moderate-to-vigorous intensity physical activity (MVPA) and sedentary behavior are both correlated in couples. Knowledge about the nature and psychosocial correlates of such dyadic covariation could inform important avenues for physical activity promotion. PURPOSE The present study investigates hour-by-hour covariation between partners (i.e., synchrony) in MVPA and sedentary behavior as partners engage in their daily lives and links it with person-level MVPA/sedentary behavior, temporal characteristics, and relationship variables. METHODS We used 7-day accelerometer data from two couple studies (Study 1, n = 306 couples, aged 18-80 years; Study 2, n = 108 couples, aged 60-87 years) to estimate dyadic covariation in hourly MVPA and sedentary behavior between partners. Data were analyzed using coordinated multilevel modeling. RESULTS In both studies, hourly MVPA and sedentary behavior exhibited similarly sized dyadic covariation between partners in the low-to-medium range of effects. Higher MVPA synchrony between partners was linked with higher individual weekly MVPA and higher individual weekly sedentary levels, whereas higher sedentary synchrony between partners was associated with higher individual weekly MVPA but lower individual weekly sedentary levels. MVPA and sedentary synchrony were higher in the morning and evening, more pronounced on weekends, and associated with more time spent together, longer relationship duration, and time-varying perceptions of higher partner closeness. CONCLUSIONS This study demonstrates that MVPA and sedentary behaviors do not occur in a social vacuum. Instead, they are linked with close others such as partners. Thus, capitalizing on social partners may increase the effectiveness of individual-level physical activity interventions.
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Affiliation(s)
- Theresa Pauly
- Department of Psychology, University of British Columbia, Vancouver, Canada
| | - Jan Keller
- Department of Education and Psychology, Freie Universität Berlin, Germany
| | - Nina Knoll
- Department of Education and Psychology, Freie Universität Berlin, Germany
| | | | - Diana Hilda Hohl
- Department of Education and Psychology, Freie Universität Berlin, Germany
| | - Maureen C Ashe
- Department of Family Practice, University of British Columbia, Vancouver, Canada.,Centre for Hip Health and Mobility, University of British Columbia, Vancouver, Canada
| | - Denis Gerstorf
- Department of Psychology, Humboldt-Universität zu Berlin, Germany
| | - Kenneth M Madden
- Centre for Hip Health and Mobility, University of British Columbia, Vancouver, Canada.,Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Christiane A Hoppmann
- Department of Psychology, University of British Columbia, Vancouver, Canada.,Centre for Hip Health and Mobility, University of British Columbia, Vancouver, Canada
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43
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Whipple MO, Regensteiner JG, Bergouignan A. Is Being Physically Active Enough to Be Metabolically Healthy? The Key Role of Sedentary Behavior. Diabetes Care 2021; 44:17-19. [PMID: 33444166 PMCID: PMC8441549 DOI: 10.2337/dci20-0064] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Mary O Whipple
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Division of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Center for Women's Health Research, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Judith G Regensteiner
- Division of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Center for Women's Health Research, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Audrey Bergouignan
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France
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44
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Hołowko-Ziółek J, Cięszczyk P, Biliński J, Basak GW, Stachowska E. What Model of Nutrition Can Be Recommended to People Ending Their Professional Sports Career? An Analysis of the Mediterranean Diet and the CRON Diet in the Context of Former Athletes. Nutrients 2020; 12:E3604. [PMID: 33255295 PMCID: PMC7761328 DOI: 10.3390/nu12123604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/19/2020] [Accepted: 11/21/2020] [Indexed: 02/08/2023] Open
Abstract
Athletes who retire from their sporting career face an increase in body weight, leading to overweight or obesity. Simultaneously, a significant number of these athletes meet the criteria of metabolic syndrome. The available literature does not offer clearly defined standards of nutrition for the discussed group of people. In this situation, it seems advisable to develop different standards of dietary behavior typical of athletes finishing their sports careers. For this purpose, the study analyzed two types of diets: the Mediterranean diet and the Calorie Restriction with Optimal Nutrition (CRON) diet based on significant calorie restrictions. Both diets seem to meet the requirements of this group of people.
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Affiliation(s)
- Joanna Hołowko-Ziółek
- Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, 71-460 Szczecin, Poland; (J.H.-Z.); (E.S.)
- Department of Diabetology and Internal Diseases, Pomeranian Medical University in Szczecin, 72-010 Police, Poland
| | - Paweł Cięszczyk
- Department of Molecular Biology, Gdansk University of Physical Education and Sports, 80-307 Gdansk, Poland;
| | - Jarosław Biliński
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland;
| | - Grzegorz W. Basak
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland;
| | - Ewa Stachowska
- Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, 71-460 Szczecin, Poland; (J.H.-Z.); (E.S.)
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45
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Stults-Kolehmainen MA, Blacutt M, Bartholomew JB, Gilson TA, Ash GI, McKee PC, Sinha R. Motivation States for Physical Activity and Sedentary Behavior: Desire, Urge, Wanting, and Craving. Front Psychol 2020; 11:568390. [PMID: 33240154 PMCID: PMC7677192 DOI: 10.3389/fpsyg.2020.568390] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 10/16/2020] [Indexed: 12/24/2022] Open
Abstract
To better explain daily fluctuations in physical activity and sedentary behavior, investigations of motivation are turning from social cognitive frameworks to those centered on affect, emotion and automaticity, such as the Affect and Health Behavior Framework (AHBF), Integrated Framework and Affective-Reflective Theory (ART). This shift has necessitated: (a) re-examination of older theories and their constructs, such as drives, needs and tensions and (b) an inspection of competing theories from other fields that also attempt to explain dynamic changes in health behaviors. The Dynamical Model of Desire, Elaborated Intrusion Theory and others commonly share with AHBF the idea that human behavior is driven strongly by desires and/or the similar concepts of wants, urges, and cravings. These affectively-charged motivation states (ACMS) change quickly and may better explain physical activity behavior from one moment to the next. Desires for movement predominantly derive from negative but also positive reinforcement. Data from clinical populations with movement dysfunction or psychiatric disorders provides further evidence of these drivers of movement. Those with Restless Legs Syndrome, akathisia, tic disorders and exercise dependence all report strong urges to move and relief when it is accomplished. Motor control research has identified centers of the brain responsible for wants and urges for muscular movement. Models elaborated herein differentiate between wants, desires, urges and cravings. The WANT model (Wants and Aversions for Neuromuscular Tasks) conceptualizes desires for movement and rest as varying by magnitude, approach or avoidance-orientation (wants versus aversions) and as occupying independent dimensions instead of opposite ends of the same axis. For instance, one hypothetically might be in a state of both high desire for movement and rest simultaneously. Variations in motivation states to move and rest may also be associated with various stress states, like freezing or fight and flight. The first validated instrument to measure feelings of desire/want for movement and rest, the CRAVE Scale (Cravings for Rest and Volitional Energy Expenditure) is already shedding light on the nature of these states. With these advances in theory, conceptual modeling and instrumentation, future investigations may explore the effects of desires and urges for movement and sedentary behavior in earnest.
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Affiliation(s)
- Matthew A. Stults-Kolehmainen
- Bariatric and Minimally Invasive Surgery Program, Yale-New Haven Hospital, New Haven, CT, United States
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, United States
| | - Miguel Blacutt
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, United States
| | - John B. Bartholomew
- Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, United States
| | - Todd A. Gilson
- Department of Kinesiology and Physical Education, Northern Illinois University, DeKalb, IL, United States
| | - Garrett I. Ash
- Pain Research, Informatics, Multi-morbidities, and Education (PRIME), VA Connecticut Healthcare System, West Haven, CT, United States
- Center for Medical Informatics, Yale School of Medicine, New Haven, CT, United States
| | - Paul C. McKee
- Department of Psychology, Southern Connecticut State University, New Haven, CT, United States
| | - Rajita Sinha
- Yale Stress Center, Yale School of Medicine, New Haven, CT, United States
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46
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De Carvalho FG, Brandao CFC, Batitucci G, Souza ADO, Ferrari GD, Alberici LC, Muñoz VR, Pauli JR, De Moura LP, Ropelle ER, da Silva ASR, Junqueira-Franco MVM, Marchini JS, de Freitas EC. Taurine supplementation associated with exercise increases mitochondrial activity and fatty acid oxidation gene expression in the subcutaneous white adipose tissue of obese women. Clin Nutr 2020; 40:2180-2187. [PMID: 33051044 DOI: 10.1016/j.clnu.2020.09.044] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/19/2020] [Accepted: 09/26/2020] [Indexed: 12/15/2022]
Abstract
PURPOSE To evaluate the effects of taurine supplementation associated or not with chronic exercise on body composition, mitochondrial function, and expression of genes related to mitochondrial activity and lipid oxidation in the subcutaneous white adipose tissue (scWAT) of obese women. METHODS A randomized and double-blind trial was developed with 24 obese women (BMI 33.1 ± 2.9 kg/m2, 32.9 ± 6.3 y) randomized into three groups: Taurine supplementation group (Tau, n = 8); Exercise group (Ex, n = 8); Taurine supplementation + exercise group (TauEx, n = 8). The intervention was composed of 3 g of taurine or placebo supplementation and exercise training for eight weeks. Anthropometry, body fat composition, indirect calorimetry, scWAT biopsy for mitochondrial respiration, and gene expression related to mitochondrial activity and lipid oxidation were assessed before and after the intervention. RESULTS No changes were observed for the anthropometric characteristics. The Ex group presented an increased resting energy expenditure rate, and the TauEx and Ex groups presented increased lipid oxidation and a decreased respiratory quotient. Both trained groups (TauEx and Ex) demonstrated improved scWAT mitochondrial respiratory capacity. Regarding mitochondrial markers, no changes were observed for the Tau group. The TauEx group had higher expression of CIDEA, PGC1a, PRDM16, UCP1, and UCP2. The genes related to fat oxidation (ACO2 and ACOX1) were increased in the Tau and Ex groups, while only the TauEx group presented increased expression of CPT1, PPARa, PPARγ, LPL, ACO1, ACO2, HSL, ACOX1, and CD36 genes. CONCLUSION Taurine supplementation associated with exercise improved lipid metabolism through the modulation of genes related to mitochondrial activity and fatty acid oxidation, suggesting a browning effect in the scWAT of obese women.
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Affiliation(s)
- Flavia Giolo De Carvalho
- School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo -EEFERP USP, Ribeirao Preto, Sao Paulo, Brazil
| | - Camila Fernanda Cunha Brandao
- Internal Medicine Department, Ribeirao Preto Medical School, University of Sao Paulo - FMRP USP, Ribeirao Preto, Sao Paulo, Brazil; State University of Minas Gerais - UEMG, Divinopolis, Minas Gerais, Brazil
| | - Gabriela Batitucci
- Department of Food and Nutrition, School of Pharmaceutical Sciences of Araraquara, State University of Sao Paulo - FCF UNESP, Araraquara, Sao Paulo, Brazil
| | - Anderson de Oliveira Souza
- Department of BioMolecular Sciences, Faculty of Pharmaceutical Sciences of Ribeirao Preto, University of Sao Paulo - FCFRP USP, Ribeirao Preto, Sao Paulo, Brazil
| | - Gustavo Duarte Ferrari
- Department of BioMolecular Sciences, Faculty of Pharmaceutical Sciences of Ribeirao Preto, University of Sao Paulo - FCFRP USP, Ribeirao Preto, Sao Paulo, Brazil
| | - Luciane Carla Alberici
- Department of BioMolecular Sciences, Faculty of Pharmaceutical Sciences of Ribeirao Preto, University of Sao Paulo - FCFRP USP, Ribeirao Preto, Sao Paulo, Brazil
| | - Vitor Rosetto Muñoz
- Laboratory of Molecular Biology of Exercise, University of Campinas - FCA UNICAMP, Limeira, Sao Paulo, Brazil
| | - José Rodrigo Pauli
- Laboratory of Molecular Biology of Exercise, University of Campinas - FCA UNICAMP, Limeira, Sao Paulo, Brazil
| | - Leandro Pereira De Moura
- Laboratory of Molecular Biology of Exercise, University of Campinas - FCA UNICAMP, Limeira, Sao Paulo, Brazil
| | - Eduardo Rochete Ropelle
- Laboratory of Molecular Biology of Exercise, University of Campinas - FCA UNICAMP, Limeira, Sao Paulo, Brazil
| | - Adelino Sanchez Ramos da Silva
- School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo -EEFERP USP, Ribeirao Preto, Sao Paulo, Brazil
| | | | - Julio Sergio Marchini
- Internal Medicine Department, Ribeirao Preto Medical School, University of Sao Paulo - FMRP USP, Ribeirao Preto, Sao Paulo, Brazil
| | - Ellen Cristini de Freitas
- School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo -EEFERP USP, Ribeirao Preto, Sao Paulo, Brazil; Department of Food and Nutrition, School of Pharmaceutical Sciences of Araraquara, State University of Sao Paulo - FCF UNESP, Araraquara, Sao Paulo, Brazil.
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47
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Terra CM, Botero JP, Antunes J, Haddock B, Malik N, Thivel D, Prado WL. Obesity does not modulate men's eating behavior after a high intensity interval exercise session: an exercise trial. J Sports Med Phys Fitness 2020; 61:280-286. [PMID: 32720782 DOI: 10.23736/s0022-4707.20.11181-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND We investigated the impact of obesity on responses to high intensity interval exercise (HIIE) on hunger and energy intake (EI) in young men. METHODS Ten men with obesity (OB) (Body Mass Index [BMI]: 34.6±4.4 kg/m2) and 10 with normal weight (CG) (BMI: 23.1±3.9 kg/m2) participated in a HIIE session. The session consisted of 6 rounds performed at 100% of maximum aerobic velocity (MAV) for 30 seconds, followed by 30 seconds of active recovery at 50% MAV and concluded with 4 minutes of passive recovery. This was repeated three times. EI was estimated at baseline and 24 h-post-HIIE. Hunger was measured at baseline, 2 h- and 24 h-post HIIE. RESULTS Carbohydrate (CHO) intake increased in both groups (P<0.01). Hunger feelings (19.5 [0-50] mm at baseline to 50 [9-73] mm post-2 h and 60 [8-92] mm in post-24 h [group: P=0.71, time: P<0.01, group × time: P=0.06]) and a desire to eat (34 [1-89] ±36.0 mm at baseline to 63 [11-86] mm post-2 h and 51 [7-84] mm post-24 h [group: P=0.65, time: P<0.01, group × time: P=0.29]) increased in both groups. CONCLUSIONS Weight status does not modulate hunger and EI post-HIIE. However, the compensatory increase in CHO intake and hunger feelings is particularly noteworthy for health professionals.
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Affiliation(s)
- Caio M Terra
- Department of Human Performance, Federal University of São Paolo, Santos, Brazil
| | - Joao P Botero
- Department of Human Performance, Federal University of São Paolo, Santos, Brazil
| | - Jaddy Antunes
- Department of Human Performance, Federal University of São Paolo, Santos, Brazil
| | - Bryan Haddock
- Department of Kinesiology, California State University, San Bernardino, CA, USA
| | - Neal Malik
- Department of Health Science and Human Ecology, California State University, San Bernardino, CA, USA -
| | - David Thivel
- Department of Human Kinetics, Université Clermont Auvergne (UCA), Clermont-Ferrand, France
| | - Wagner L Prado
- Department of Kinesiology, California State University, San Bernardino, CA, USA
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48
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Sievers W, Rathner JA, Green RA, Kettle C, Irving HR, Whelan DR, Fernandez RGD, Zacharias A. Innervation of supraclavicular adipose tissue: A human cadaveric study. PLoS One 2020; 15:e0236286. [PMID: 32702004 PMCID: PMC7377457 DOI: 10.1371/journal.pone.0236286] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 07/01/2020] [Indexed: 12/18/2022] Open
Abstract
Functional brown adipose tissue (BAT) was identified in adult humans only in 2007 with the use of fluorodeoxyglucose positron emission tomography imaging. Previous studies have demonstrated a negative correlation between obesity and BAT presence in humans. It is proposed that BAT possesses the capacity to increase metabolism and aid weight loss. In rodents it is well established that BAT is stimulated by the sympathetic nervous system with the interscapular BAT being innervated via branches of intercostal nerves. Whilst there is evidence to suggest that BAT possesses beta-3 adrenoceptors, no studies have identified the specific nerve branch that carries sympathetic innervation to BAT in humans. The aim of this study was to identify and trace the peripheral nerve or nerves that innervate human BAT in the supraclavicular region. The posterior triangle region of the neck of cadaveric specimens were dissected in order to identify any peripheral nerve branches piercing and/or terminating in supraclavicular BAT. A previously undescribed branch of the cervical plexus terminating in a supraclavicular adipose depot was identified in all specimens. This was typically an independent branch of the plexus, from the third cervical spinal nerve, but in one specimen was a branch of the supraclavicular nerve. Histological analysis revealed the supraclavicular adipose depot contained tyrosine hydroxylase immunoreactive structures, which likely represent sympathetic axons. This is the first study that identifies a nerve branch to supraclavicular BAT-like tissue. This finding opens new avenues for the investigation of neural regulation of fat metabolism in humans.
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Affiliation(s)
- Will Sievers
- Department of Pharmacy and Biomedical Sciences, La Trobe Institute for Molecular Science, La Trobe University, Bendigo, Victoria, Australia
| | - Joseph A. Rathner
- Department of Pharmacy and Biomedical Sciences, La Trobe Institute for Molecular Science, La Trobe University, Bendigo, Victoria, Australia
- Department of Physiology, School of Biomedical Sciences University of Melbourne, Parkville, Victoria, Australia
| | - Rodney A. Green
- Department of Pharmacy and Biomedical Sciences, La Trobe Institute for Molecular Science, La Trobe University, Bendigo, Victoria, Australia
| | - Christine Kettle
- Department of Pharmacy and Biomedical Sciences, La Trobe Institute for Molecular Science, La Trobe University, Bendigo, Victoria, Australia
| | - Helen R. Irving
- Department of Pharmacy and Biomedical Sciences, La Trobe Institute for Molecular Science, La Trobe University, Bendigo, Victoria, Australia
| | - Donna R. Whelan
- Department of Pharmacy and Biomedical Sciences, La Trobe Institute for Molecular Science, La Trobe University, Bendigo, Victoria, Australia
| | - Richard G. D. Fernandez
- Department of Physiology Anatomy and Microbiology, School of Life Sciences, La Trobe University, Melbourne, Victoria, Australia
| | - Anita Zacharias
- Department of Pharmacy and Biomedical Sciences, La Trobe Institute for Molecular Science, La Trobe University, Bendigo, Victoria, Australia
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49
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Flack KD, Hays HM, Moreland J. The consequences of exercise-induced weight loss on food reinforcement. A randomized controlled trial. PLoS One 2020; 15:e0234692. [PMID: 32555624 PMCID: PMC7302707 DOI: 10.1371/journal.pone.0234692] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 05/29/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Obesity remains a primary threat to the health of most Americans, with over 66% considered overweight or obese with a body mass index (BMI) of 25 kg/m2 or greater. A common treatment option many believe to be effective, and therefore turn to, is exercise. However, the amount of weight loss from exercise training is often disappointingly less than expected with greater amounts of exercise not always promoting greater weight loss. Increases in energy intake have been prescribed as the primary reason for this lack of weight loss success with exercise. Research has mostly focused on alterations in hormonal mediators of appetite (e.g.: ghrelin, peptide YY, GLP-1, pancreatic polypeptide, and leptin) that may increase hunger and/or reduce satiety to promote greater energy intake with exercise training. A less understood mechanism that may be working to increase energy intake with exercise is reward-driven feeding, a strong predictor of energy intake and weight status but rarely analyzed in the context of exercise. DESIGN Sedentary men and women (BMI: 25-35 kg/m2, N = 52) were randomized into parallel aerobic exercise training groups partaking in either two or six exercise sessions/week, or sedentary control for 12 weeks. METHODS The reinforcing value of food was measured by an operant responding progressive ratio schedule task (the behavioral choice task) to determine how much work participants were willing to perform for access to a healthy food option relative to a less healthy food option before and after the exercise intervention. Body composition and resting energy expenditure were assessed via DXA and indirect calorimetry, respectively, at baseline and post testing. RESULTS Changes in fat-free mass predicted the change in total amount of operant responding for food (healthy and unhealthy). There were no correlations between changes in the reinforcing value of one type of food (healthy vs unhealthy) to changes in body composition. CONCLUSION In support of previous work, reductions in fat-free mass resulting from an aerobic exercise intervention aimed at weight loss plays an important role in energy balance regulation by increasing operant responding for food.
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Affiliation(s)
- Kyle D. Flack
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, Kentucky, United States of America
| | - Harry M. Hays
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, Kentucky, United States of America
| | - Jack Moreland
- Department of Dietetics and Human Nutrition, University of Kentucky, Lexington, Kentucky, United States of America
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50
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Cardoso GA, Ribeiro MD, Ferreira AP, de Oliveira Y, Medeiros TDO, de Sousa BR, Pereira RDA, de Almeida AE, Filho JM, Brito Silva RS, Silva AS. Oxidative stress does not influence weight loss induced by aerobic training in adults: randomized clinical trials. J Sports Med Phys Fitness 2020; 60:875-882. [PMID: 32487982 DOI: 10.23736/s0022-4707.20.10528-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND High levels of oxidative stress promote degradation of the cell membrane impairing cellular function in fat oxidation. However, the influence of oxidative stress on exercise-induced weight-loss has not yet been investigated. Therefore, the aim of this study was to verify the influence of a lipidic peroxidation marker (malondialdehyde, MDA) and antioxidant status (total antioxidant capacity marker, TAC) on the magnitude of weight-loss by aerobic-induced exercise in previously sedentary overweight or obese individuals. METHODS Seventy-five physically inactive adults were randomized into experimental (N.=58) and control (N.=17) groups, who engaged in a 12-week program of aerobic training walking and/or running (3 to 5 days/week) or stretching (1 day/week), respectively. Body composition (DXA), aerobic capacity (ergospirometric) and blood collections for oxidative stress analysis (MDA and TAC) were determined before and after the experimental protocol. Two-way ANOVA for repeated measures or Friedman's test were used to evaluate differences in time/group interaction. Pearson correlation was used to verify the relationship between the variables of oxidative stress and of body composition. RESULTS Significant reduction was found in fat body mass of experimental when compared to control group (-1.3±1.9 kg versus -0.3±1.3, P=0.04). Experimental group also altered significantly the total body mass (-1.2±4.7 kg; effect size 0.44), body mass index - BMI (-0.3±1.1 effect size 0.37), fat percentage (1.3±1.6%; effect size 0.50) and lean body mass (0.6±1.5 kg; effect size 0.32).There was increase in MDA of 2.3 μmol/L to 2.7 μmol/L (P=0.00), without changes to TAC (25.6±13.9% to 28.0±10.4%). No correlation was found between these variations in body composition with either the initial values of MDA and TAC or delta variation of these indicators of oxidative stress in response to the training program. CONCLUSIONS Indicators of oxidative stress (MDA and TAC) does not influence the magnitude of weight-loss induced by aerobic training.
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Affiliation(s)
- Glêbia A Cardoso
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil.,Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil
| | - Mateus D Ribeiro
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil.,Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil
| | - Ana P Ferreira
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil.,Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil
| | | | - Thiago de O Medeiros
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil
| | - Bruno R de Sousa
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil.,Federal University of Paraíba (PPGCN/UFPB), João Pessoa, PB, Brazil
| | - Reabias de A Pereira
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil.,Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil
| | - Antônio E de Almeida
- Lauro Wanderley University Hospital - HULW-Federal University of Paraíba - UFPB, João Pessoa, PB, Brazil
| | - João M Filho
- Lauro Wanderley University Hospital - HULW-Federal University of Paraíba - UFPB, João Pessoa, PB, Brazil
| | - Raquel S Brito Silva
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil.,Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil
| | - Alexandre S Silva
- Laboratory of Applied Studies in Physical Training to Performance and Health - LETFADS, Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil - .,Department of Physical Education, Federal University of Paraíba, João Pessoa, PB, Brazil.,Federal University of Paraíba (PPGCN/UFPB), João Pessoa, PB, Brazil
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