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Blondin DP, Haman F, Swibas TM, Hogan-Lamarre S, Dumont L, Guertin J, Richard G, Weissenburger Q, Hildreth KL, Schauer I, Panter S, Wyland L, Carpentier AC, Miao Y, Shi J, Juarez-Colunga E, Kohrt WM, Melanson EL. Brown adipose tissue metabolism in women is dependent on ovarian status. Am J Physiol Endocrinol Metab 2024; 326:E588-E601. [PMID: 38477875 DOI: 10.1152/ajpendo.00077.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/12/2024] [Accepted: 03/12/2024] [Indexed: 03/14/2024]
Abstract
In rodents, loss of estradiol (E2) reduces brown adipose tissue (BAT) metabolic activity. Whether E2 impacts BAT activity in women is not known. BAT oxidative metabolism was measured in premenopausal (n = 27; 35 ± 9 yr; body mass index = 26.0 ± 5.3 kg/m2) and postmenopausal (n = 25; 51 ± 8 yr; body mass index = 28.0 ± 5.0 kg/m2) women at room temperature and during acute cold exposure using [11C]acetate with positron emission tomography coupled with computed tomograph. BAT glucose uptake was also measured during acute cold exposure using 2-deoxy-2-[18F]fluoro-d-glucose. To isolate the effects of ovarian hormones from biological aging, measurements were repeated in a subset of premenopausal women (n = 8; 40 ± 4 yr; BMI = 28.0 ± 7.2 kg/m2) after 6 mo of gonadotropin-releasing hormone agonist therapy to suppress ovarian hormones. At room temperature, there was no difference in BAT oxidative metabolism between premenopausal (0.56 ± 0.31 min-1) and postmenopausal women (0.63 ± 0.28 min-1). During cold exposure, BAT oxidative metabolism (1.28 ± 0.85 vs. 0.91 ± 0.63 min-1, P = 0.03) and net BAT glucose uptake (84.4 ± 82.5 vs. 29.7 ± 31.4 nmol·g-1·min-1, P < 0.01) were higher in premenopausal than postmenopausal women. In premenopausal women who underwent gonadotropin-releasing hormone agonist, cold-stimulated BAT oxidative metabolism was reduced to a similar level (from 1.36 ± 0.66 min-1 to 0.91 ± 0.41 min-1) to that observed in postmenopausal women (0.91 ± 0.63 min-1). These results provide the first evidence in humans that reproductive hormones are associated with BAT oxidative metabolism and suggest that BAT may be a target to attenuate age-related reduction in energy expenditure and maintain metabolic health in postmenopausal women.NEW & NOTEWORTHY In rodents, loss of estrogen reduces brown adipose tissue (BAT) activity. Whether this is true in humans is not known. We found that BAT oxidative metabolism and glucose uptake were lower in postmenopausal compared to premenopausal women. In premenopausal women who underwent ovarian suppression to reduce circulating estrogen, BAT oxidative metabolism was reduced to postmenopausal levels. Thus the loss of ovarian function in women leads to a reduction in BAT metabolic activity independent of age.
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Affiliation(s)
- Denis P Blondin
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada
- Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - François Haman
- School of Human Kinetics, University of Ottawa, Ottawa, Ontario, Canada
| | - Tracy M Swibas
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Sophie Hogan-Lamarre
- Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Lauralyne Dumont
- Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Jolan Guertin
- Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Gabriel Richard
- Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Quentin Weissenburger
- Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Kerry L Hildreth
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Irene Schauer
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado, United States
| | - Shelby Panter
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Liza Wyland
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - André C Carpentier
- Division of Endocrinology, Department of Medicine, Faculty of Medicine and Health Sciences, Centre de Recherche du Centre Hospitalier, Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Yubin Miao
- Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Jiayuan Shi
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Elizabeth Juarez-Colunga
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado, United States
| | - Wendy M Kohrt
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado, United States
| | - Edward L Melanson
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado, United States
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Amar D, Gay NR, Jean-Beltran PM, Bae D, Dasari S, Dennis C, Evans CR, Gaul DA, Ilkayeva O, Ivanova AA, Kachman MT, Keshishian H, Lanza IR, Lira AC, Muehlbauer MJ, Nair VD, Piehowski PD, Rooney JL, Smith KS, Stowe CL, Zhao B, Clark NM, Jimenez-Morales D, Lindholm ME, Many GM, Sanford JA, Smith GR, Vetr NG, Zhang T, Almagro Armenteros JJ, Avila-Pacheco J, Bararpour N, Ge Y, Hou Z, Marwaha S, Presby DM, Natarajan Raja A, Savage EM, Steep A, Sun Y, Wu S, Zhen J, Bodine SC, Esser KA, Goodyear LJ, Schenk S, Montgomery SB, Fernández FM, Sealfon SC, Snyder MP, Adkins JN, Ashley E, Burant CF, Carr SA, Clish CB, Cutter G, Gerszten RE, Kraus WE, Li JZ, Miller ME, Nair KS, Newgard C, Ortlund EA, Qian WJ, Tracy R, Walsh MJ, Wheeler MT, Dalton KP, Hastie T, Hershman SG, Samdarshi M, Teng C, Tibshirani R, Cornell E, Gagne N, May S, Bouverat B, Leeuwenburgh C, Lu CJ, Pahor M, Hsu FC, Rushing S, Walkup MP, Nicklas B, Rejeski WJ, Williams JP, Xia A, Albertson BG, Barton ER, Booth FW, Caputo T, Cicha M, De Sousa LGO, Farrar R, Hevener AL, Hirshman MF, Jackson BE, Ke BG, Kramer KS, Lessard SJ, Makarewicz NS, Marshall AG, Nigro P, Powers S, Ramachandran K, Rector RS, Richards CZT, Thyfault J, Yan Z, Zang C, Amper MAS, Balci AT, Chavez C, Chikina M, Chiu R, Gritsenko MA, Guevara K, Hansen JR, Hennig KM, Hung CJ, Hutchinson-Bunch C, Jin CA, Liu X, Maner-Smith KM, Mani DR, Marjanovic N, Monroe ME, Moore RJ, Moore SG, Mundorff CC, Nachun D, Nestor MD, Nudelman G, Pearce C, Petyuk VA, Pincas H, Ramos I, Raskind A, Rirak S, Robbins JM, Rubenstein AB, Ruf-Zamojski F, Sagendorf TJ, Seenarine N, Soni T, Uppal K, Vangeti S, Vasoya M, Vornholt A, Yu X, Zaslavsky E, Zebarjadi N, Bamman M, Bergman BC, Bessesen DH, Buford TW, Chambers TL, Coen PM, Cooper D, Haddad F, Gadde K, Goodpaster BH, Harris M, Huffman KM, Jankowski CM, Johannsen NM, Kohrt WM, Lester B, Melanson EL, Moreau KL, Musi N, Newton RL, Radom-Aizik S, Ramaker ME, Rankinen T, Rasmussen BB, Ravussin E, Schauer IE, Schwartz RS, Sparks LM, Thalacker-Mercer A, Trappe S, Trappe TA, Volpi E. Temporal dynamics of the multi-omic response to endurance exercise training. Nature 2024; 629:174-183. [PMID: 38693412 PMCID: PMC11062907 DOI: 10.1038/s41586-023-06877-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/16/2023] [Indexed: 05/03/2024]
Abstract
Regular exercise promotes whole-body health and prevents disease, but the underlying molecular mechanisms are incompletely understood1-3. Here, the Molecular Transducers of Physical Activity Consortium4 profiled the temporal transcriptome, proteome, metabolome, lipidome, phosphoproteome, acetylproteome, ubiquitylproteome, epigenome and immunome in whole blood, plasma and 18 solid tissues in male and female Rattus norvegicus over eight weeks of endurance exercise training. The resulting data compendium encompasses 9,466 assays across 19 tissues, 25 molecular platforms and 4 training time points. Thousands of shared and tissue-specific molecular alterations were identified, with sex differences found in multiple tissues. Temporal multi-omic and multi-tissue analyses revealed expansive biological insights into the adaptive responses to endurance training, including widespread regulation of immune, metabolic, stress response and mitochondrial pathways. Many changes were relevant to human health, including non-alcoholic fatty liver disease, inflammatory bowel disease, cardiovascular health and tissue injury and recovery. The data and analyses presented in this study will serve as valuable resources for understanding and exploring the multi-tissue molecular effects of endurance training and are provided in a public repository ( https://motrpac-data.org/ ).
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Cox RC, Blumenstein AB, Burke TM, Depner CM, Guerin MK, Hay-Arthur E, Higgins J, Knauer OA, Lanza SM, Markwald RR, Melanson EL, McHill AW, Morton SJ, Ritchie HK, Smith MR, Smits AN, Sprecher KE, Stothard ER, Withrow D, Wright KP. Distribution of dim light melatonin offset (DLMOff) and phase relationship to waketime in healthy adults and associations with chronotype. Sleep Health 2024; 10:S76-S83. [PMID: 37777359 DOI: 10.1016/j.sleh.2023.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 10/02/2023]
Abstract
OBJECTIVES Dim light melatonin onset, or the rise in melatonin levels representing the beginning of the biological night, is the gold standard indicator of circadian phase. Considerably less is known about dim light melatonin offset, or the decrease in melatonin to low daytime levels representing the end of the biological night. In the context of insufficient sleep, morning circadian misalignment, or energy intake after waketime but before dim light melatonin offset, is linked to impaired insulin sensitivity, suggesting the need to characterize dim light melatonin offset and identify risk for morning circadian misalignment. METHODS We examined the distributions of dim light melatonin offset clock hour and the phase relationship between dim light melatonin offset and waketime, and associations between dim light melatonin offset, phase relationship, and chronotype in healthy adults (N = 62) who completed baseline protocols measuring components of the circadian melatonin rhythm and chronotype. RESULTS 74.4% demonstrated dim light melatonin offset after waketime, indicating most healthy adults wake up before the end of biological night. Later chronotype (morningness-eveningness, mid-sleep on free days corrected, and average mid-sleep) was associated with later dim light melatonin offset clock hour. Later chronotype was also associated with a larger, positive phase relationship between dim light melatonin offset and waketime, except for morningness-eveningness. CONCLUSIONS These findings suggest morning circadian misalignment risk among healthy adults, which would not be detected if only dim light melatonin onset were assessed. Chronotype measured by sleep timing may better predict this risk in healthy adults keeping a consistent sleep schedule than morningness-eveningness preferences. Additional research is needed to develop circadian biomarkers to predict dim light melatonin offset and evaluate appropriate dim light melatonin offset timing to promote health.
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Affiliation(s)
- Rebecca C Cox
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Alivia B Blumenstein
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Tina M Burke
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Christopher M Depner
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Department of Health and Kinesiology, University of Utah, Salt Lake City, Utah, USA
| | - Molly K Guerin
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Emily Hay-Arthur
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Janine Higgins
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Oliver A Knauer
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Shannon M Lanza
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Rachel R Markwald
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Naval Health Research Center, San Diego, California, USA
| | - Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA; Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Andrew W McHill
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, Oregon, USA
| | - Sarah J Morton
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Hannah K Ritchie
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Mark R Smith
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Alexandra N Smits
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Kate E Sprecher
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Ellen R Stothard
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Colorado Sleep Institute, Boulder, Colorado, USA
| | - Dana Withrow
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA; Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
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4
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Erlandson KM, Mohaweche R, Morrow M, Mawhinney S, Khuu V, Boyd M, Balasubramanyam A, Melanson EL, Lake JE. Energy balance and body composition after switch between integrase strand transfer inhibitors and doravirine among people with HIV. J Antimicrob Chemother 2024; 79:179-185. [PMID: 38000089 PMCID: PMC10761240 DOI: 10.1093/jac/dkad363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Integrase strand transfer inhibitors (INSTIs) are associated with excessive weight gain among a subset of persons with HIV (PWH), due to unclear mechanisms. We assessed energy intake (EI) and expenditure (EE) following switch off and onto INSTIs. METHODS PWH with >10% weight gain on an INSTI-based regimen switched INSTI to doravirine for 12 weeks, then back to INSTI for 12 weeks while keeping their remaining regimen stable. Twenty-four-hour EE, EI and weight were measured on INSTI, following switch to doravirine, and upon INSTI restart. Mixed models analysed changes over time. RESULTS Among 18 participants, unadjusted 24 h EE decreased by 83 (95% CI -181 to 14) kcal following switch to doravirine, and by 2 (-105 to 100) kcal after INSTI restart; energy balance (EE-EI) increased by 266 (-126 to 658) kcal from Week 0 to Week 12, and decreased by 3 (-429 to 423) kcal from Week 12 to Week 24. Trends toward weight loss occurred following switch to doravirine [mean -1.25 (-3.18 to 0.69) kg] and when back on INSTI [-0.47 (-2.45 to 1.52) kg]. Trunk fat decreased on doravirine [-474 (-1398 to 449) g], with some regain following INSTI restart [199 (-747 to 1145) g]. Fat-free mass decreased on doravirine [-491 (-1399 to 417) g] and increased slightly after INSTI restart [178 (-753 to 1108) g]. CONCLUSIONS Among PWH with >10% weight gain on an INSTI, switch to doravirine was associated with a trend towards decreases in 24 h EE, weight, trunk fat mass and fat-free mass. Observed changes were not significant, but suggest a mild weight-suppressive effect of doravirine among PWH.
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Affiliation(s)
- Kristine M Erlandson
- Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, USA
| | - Ruda Mohaweche
- Department of Medicine, UTHealth Houston, Houston, TX, USA
| | - Mary Morrow
- Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, USA
| | - Samantha Mawhinney
- Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, USA
| | - Vincent Khuu
- Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, USA
| | - Mallory Boyd
- Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, USA
| | | | - Edward L Melanson
- Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E. 19th Avenue, Aurora, CO 80045, USA
| | - Jordan E Lake
- Department of Medicine, UTHealth Houston, Houston, TX, USA
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Griffith G, Lamotte G, Mehta N, Fan P, Nikolich J, Springman V, Suttman E, Joslin E, Balfany K, Dunlap M, Kohrt WM, Christiansen CL, Melanson EL, Josbeno D, Chahine LM, Patterson CG, Corcos DM. Chronotropic Incompetence During Exercise Testing as a Marker of Autonomic Dysfunction in Individuals with Early Parkinson's Disease. J Parkinsons Dis 2024; 14:121-133. [PMID: 38189712 PMCID: PMC10836543 DOI: 10.3233/jpd-230006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/19/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND An attenuated heart rate response to exercise, termed chronotropic incompetence, has been reported in Parkinson's disease (PD). Chronotropic incompetence may be a marker of autonomic dysfunction and a cause of exercise intolerance in early stages of PD. OBJECTIVE To investigate the relationship between chronotropic incompetence, orthostatic blood pressure change (supine - standing), and exercise performance (maximal oxygen consumption, VO2peak) in individuals with early PD within 5 years of diagnosis not on dopaminergic medications. METHODS We performed secondary analyses of heart rate and blood pressure data from the Study in Parkinson's Disease of Exercise (SPARX). RESULTS 128 individuals were enrolled into SPARX (63.7±9.3 years; 57.0% male, 0.4 years since diagnosis [median]). 103 individuals were not taking chronotropic medications, of which 90 had a normal maximal heart rate response to exercise testing (155.3±14.0 bpm; PDnon-chrono) and 13 showed evidence of chronotropic incompetence (121.3±11.3 bpm; PDchrono, p < 0.05). PDchrono had decreased VO2peak compared to PDnon-chrono (19.7±4.5 mL/kg/min and 24.3±5.8 mL/kg/min, respectively, p = 0.027). There was a positive correlation between peak heart rate during exercise and the change in systolic blood pressure from supine to standing (r = 0.365, p < 0.001). CONCLUSIONS A subgroup of individuals with early PD not on dopaminergic medication had chronotropic incompetence and decreased VO2peak, which may be related to autonomic dysfunction. Evaluation of both heart rate responses to incremental exercise and orthostatic vital signs may serve as biomarkers of early autonomic impairment and guide treatment. Further studies should investigate whether cardiovascular autonomic dysfunction affects the ability to exercise and whether exercise training improves autonomic dysfunction.
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Affiliation(s)
- Garett Griffith
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Guillaume Lamotte
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Niyati Mehta
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Peng Fan
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Juliana Nikolich
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Victoria Springman
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Erin Suttman
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth Joslin
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Katherine Balfany
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Wendy M. Kohrt
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
| | - Cory L. Christiansen
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
| | - Edward L. Melanson
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
| | - Deborah Josbeno
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lana M. Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Daniel M. Corcos
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
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Hoffman RM, Davis-Wilson HC, Hanlon S, Swink LA, Kline PW, Juarez-Colunga E, Melanson EL, Christiansen CL. Maximal daily stepping cadence partially explains functional capacity of individuals with end-stage knee osteoarthritis. PM R 2023:10.1002/pmrj.13082. [PMID: 37819260 PMCID: PMC11006829 DOI: 10.1002/pmrj.13082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 06/01/2023] [Accepted: 09/16/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Individuals with end-stage knee osteoarthritis (OA) walk at a lower intensity (ie, slower step cadence) contributing to worse physical function. Previous literature reports daily step counts and sedentary time, with little information regarding stepping bouts or cadence. Determining relationships between daily higher stepping cadence duration and clinical outcomes can move the field toward optimal daily stepping prescription. OBJECTIVE To quantify daily physical activity patterns of individuals with end-stage knee OA and determine the contribution of high stepping cadence to explain functional capacity variability. DESIGN Cross-sectional analysis. SETTING Veterans Administration medical center. PARTICIPANTS U.S. military veterans (n = 104; age: 67.1 years [7.2]; mean [SD]; male [89.3%]) with end-stage knee OA were enrolled. INTERVENTION Not applicable. MAIN OUTCOME MEASURE Functional capacity (6-Minute Walk Test [6MWT]). Physical activity (activPAL wearable sensor; cadence and time sitting, standing, and stepping), pain (Western Ontario and McMaster Universities Osteoarthritis Index-pain subscale) sociodemographic variables, and comorbidities (body mass index and Functional Comorbidity Index) are the main explanatory variables. RESULTS Participants' wake time was mainly sitting (11.0 h/day) in ≥60-minute bouts (29.7% ± 12.7 of sitting time). Standing (3.4 hours/day) and stepping (1.4 h/day) primarily occurred in 0-5 minute bouts (standing: 87.7% ± 14.4 of standing time, stepping: 98.7% ± 12.7 of stepping time) and stepping cadence was predominantly incidental (1-19 spm; 52.9% ± 9.6 of total stepping time). Backward elimination model results indicated shorter medium-to-brisk cadence bout duration, older age, and higher pain significantly explained shorter 6MWT distance (Adj R2 =0.24, p < .01). CONCLUSIONS Individuals with knee OA spend most of their waking hours sitting, while standing and stepping occurs in short bouts at very low stepping cadence. Decreased time in high stepping cadence is associated with lower functional capacity. Future studies should explore if increasing the daily time spent in higher step cadence can improve functional capacity in this population.
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Affiliation(s)
- Rashelle M Hoffman
- Department of Physical Therapy, School of Pharmacy and Health Professions, Creighton University, Omaha, Nebraska, USA
| | - Hope C Davis-Wilson
- RTI International, Technology Advancement and Commercialization, Research Triangle Park, North Carolina, USA
| | - Shawn Hanlon
- Geriatric Research Education and Clinical Center, VA Eastern Colorado Healthcare System, Denver, Colorado, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado, Aurora, Colorado, USA
| | - Laura A Swink
- Geriatric Research Education and Clinical Center, VA Eastern Colorado Healthcare System, Denver, Colorado, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado, Aurora, Colorado, USA
| | - Paul W Kline
- Department of Physical Therapy, High Point University, High Point, North Carolina, USA
| | - Elizabeth Juarez-Colunga
- Geriatric Research Education and Clinical Center, VA Eastern Colorado Healthcare System, Denver, Colorado, USA
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Denver, Colorado, USA
| | - Edward L Melanson
- Geriatric Research Education and Clinical Center, VA Eastern Colorado Healthcare System, Denver, Colorado, USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Aurora, Colorado, USA
- Division of Geriatric Medicine, Department of Medicine, University of Colorado, Aurora, Colorado, USA
| | - Cory L Christiansen
- Geriatric Research Education and Clinical Center, VA Eastern Colorado Healthcare System, Denver, Colorado, USA
- Department of Physical Medicine and Rehabilitation, University of Colorado, Aurora, Colorado, USA
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Fuchita M, Ridgeway KJ, Sandridge B, Kimzey C, Abraham A, Melanson EL, Fernandez-Bustamante A. Comparison of postoperative mobilization measurements by activPAL versus Johns Hopkins Highest Level of Mobility scale after major abdominal surgery. Surgery 2023; 174:851-857. [PMID: 37580218 PMCID: PMC10530478 DOI: 10.1016/j.surg.2023.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/22/2023] [Accepted: 07/08/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND The Johns Hopkins Highest Level of Mobility scale is a validated tool for assessing patient mobility in the hospital. It has excellent inter-rater and test-retest reliabilities, but it is unknown how accurately Johns Hopkins Highest Level of Mobility documentation reflects the patients' mobility performance in the immediate postoperative period compared to objective measures such as accelerometers. METHODS In this single-center observational study, consented adults undergoing open abdominal surgery wore a research-grade accelerometer, activPAL, starting immediately postoperatively until hospital discharge or up to 7 days. We collected the Johns Hopkins Highest Level of Mobility scores documented by hospital staff via retrospective chart review and evaluated their accuracy in describing the type, frequency, and volume of postoperative out-of-bed mobilization using the activPAL as the criterion. RESULTS We analyzed data from 56 participants. The activPAL showed that participants spent 97.7% of their time lying in bed or sitting in a chair. Meanwhile, the Johns Hopkins Highest Level of Mobility documentation of preambulatory activities (scores 1-5) was rare. The activPAL detected 4 times more out-of-bed mobilization than routine Johns Hopkins Highest Level of Mobility documentation. Whereas the frequency of activPAL-measured out-of-bed mobilization increased steadily to a median of 9 sessions by postoperative day 6, the number of Johns Hopkins Highest Level of Mobility documentation remained around twice daily. ActivPAL measurements demonstrated that Johns Hopkins Highest Level of Mobility documentation of ambulatory sessions (scores 6-8) was accurate. CONCLUSIONS We found that routine Johns Hopkins Highest Level of Mobility documentation did not accurately detect preambulatory activities or the overall frequency of out-of-bed mobility sessions, poorly reflecting the highly sedentary behaviors of the acute postoperative inpatients and highlighting the need to improve clinical documentation or use alternative methods to track postoperative mobilization.
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Affiliation(s)
- Mikita Fuchita
- Department of Anesthesiology, University of Colorado Anschutz Medical Campus, Aurora, CO.
| | - Kyle J Ridgeway
- Inpatient Rehabilitation Therapy Department, University of Colorado Hospital, University of Colorado Health, Aurora, CO; Physical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO. http://www.twitter.com/Dr_Ridge_DPT
| | | | | | - Alison Abraham
- Department of Epidemiology, University of Colorado School of Public Health, Aurora, CO
| | - Edward L Melanson
- Division of Endocrinology and Metabolism, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO; Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO; Rocky Mountain Regional VA Medical Center, Aurora, CO
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Hill EB, Konigsberg IR, Ir D, Frank DN, Jambal P, Litkowski EM, Lange EM, Lange LA, Ostendorf DM, Scorsone JJ, Wayland L, Bing K, MacLean PS, Melanson EL, Bessesen DH, Catenacci VA, Stanislawski MA, Borengasser SJ. The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss. Nutrients 2023; 15:3588. [PMID: 37630778 PMCID: PMC10458964 DOI: 10.3390/nu15163588] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 08/27/2023] Open
Abstract
Obesity has been linked to the gut microbiome, epigenome, and diet, yet these factors have not been studied together during obesity treatment. Our objective was to evaluate associations among gut microbiota (MB), DNA methylation (DNAme), and diet prior to and during a behavioral weight loss intervention. Adults (n = 47, age 40.9 ± 9.7 years, body mass index (BMI) 33.5 ± 4.5 kg/m2, 77% female) with data collected at baseline (BL) and 3 months (3 m) were included. Fecal MB was assessed via 16S sequencing and whole blood DNAme via the Infinium EPIC array. Food group and nutrient intakes and Healthy Eating Index (HEI) scores were calculated from 7-day diet records. Linear models were used to test for the effect of taxa relative abundance on DNAme and diet cross-sectionally at each time point, adjusting for confounders and a false discovery rate of 5%. Mean weight loss was 6.2 ± 3.9% at 3 m. At BL, one MB taxon, Ruminiclostridium, was associated with DNAme of the genes COL20A1 (r = 0.651, p = 0.029), COL18A1 (r = 0.578, p = 0.044), and NT5E (r = 0.365, p = 0.043). At 3 m, there were 14 unique MB:DNAme associations, such as Akkermansia with DNAme of GUSB (r = -0.585, p = 0.003), CRYL1 (r = -0.419, p = 0.007), C9 (r = -0.439, p = 0.019), and GMDS (r = -0.559, p = 0.046). Among taxa associated with DNAme, no significant relationships were seen with dietary intakes of relevant nutrients, food groups, or HEI scores. Our findings indicate that microbes linked to mucin degradation, short-chain fatty acid production, and body weight are associated with DNAme of phenotypically relevant genes. These relationships offer an initial understanding of the possible routes by which alterations in gut MB may influence metabolism during weight loss.
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Affiliation(s)
- Emily B. Hill
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (E.B.H.)
| | - Iain R. Konigsberg
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (I.R.K.)
| | - Diana Ir
- Division of Infectious Diseases, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Daniel N. Frank
- Division of Infectious Diseases, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Purevsuren Jambal
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (E.B.H.)
| | - Elizabeth M. Litkowski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (I.R.K.)
- Department of Epidemiology, University of Colorado School of Public Health, Aurora, CO 80045, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Aurora, CO 80045, USA
| | - Ethan M. Lange
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (I.R.K.)
- Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO 80045, USA
| | - Leslie A. Lange
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (I.R.K.)
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Aurora, CO 80045, USA
| | - Danielle M. Ostendorf
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Anschutz Health and Wellness Center, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jared J. Scorsone
- Anschutz Health and Wellness Center, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Liza Wayland
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Anschutz Health and Wellness Center, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Kristen Bing
- Anschutz Health and Wellness Center, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Paul S. MacLean
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Daniel H. Bessesen
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Victoria A. Catenacci
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Anschutz Health and Wellness Center, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Maggie A. Stanislawski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (I.R.K.)
| | - Sarah J. Borengasser
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (E.B.H.)
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Thomas JV, Tobin SY, Mifflin MG, Burns RD, Bailey RR, Purcell SA, Melanson EL, Cornier MA, Halliday TM. The Effects of an Acute Bout of Aerobic or Resistance Exercise on Nonexercise Physical Activity. Exerc Sport Mov 2023; 1:e00004. [PMID: 37538306 PMCID: PMC10399212 DOI: 10.1249/esm.0000000000000004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Introduction/Purpose A reduction in nonexercise physical activity (NEPA) after exercise may reduce the effectiveness of exercise interventions on weight loss in adults with overweight or obesity. Aerobic exercise (AEx) and resistance exercise (REx) may have different effects on NEPA. The purpose of this secondary analysis was to examine the effect of a single bout of AEx or REx on NEPA and sedentary behavior in inactive adults with overweight or obesity. Methods Adults with overweight or obesity (n = 24; 50% male; age, 34.5 ± 1.5 yr; body mass index, 28.5 ± 0.9 kg·m-2) not meeting current physical activity guidelines completed a single 45-min bout of AEx, REx, or a sedentary control on different days in random order. After each condition, participants' NEPA was recorded for 84 h by accelerometer. Time spent sedentary and in light, moderate, and vigorous physical activity; steps; metabolic equivalent of task (MET)-hours; and sit-to-stand transitions were calculated using activity count data. Results No differences were observed in the percent of waking time spent sedentary and in light, moderate, and vigorous activity between conditions (P > 0.05). No differences were observed in steps, MET-hours, or sit-to-stand transitions between conditions (P > 0.05). NEPA responses were variable among individuals, with approximately half of participants reducing and half increasing NEPA over the 84 h after each exercise condition. Conclusion NEPA was not reduced after an acute bout of AEx or REx in a sample of inactive adults with overweight or obesity.
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Affiliation(s)
- Jason V. Thomas
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
| | - Selene Y. Tobin
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
| | - Mark Garrett Mifflin
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
| | - Ryan D. Burns
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
| | - Ryan R. Bailey
- Department of Occupational and Recreational Therapy, College of Health, University of Utah, Salt Lake City, UT, USA
| | - Sarah A. Purcell
- Division of Endocrinology and Metabolism, Department of Medicine, University of British Columbia, Vancouver, BC, CANADA
- Department of Biology, Irving K. Barber Faculty of Science, University of British Columbia – Okanagen Campus, Kelowna, BC, CANADA
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
- Rocky Mountain Regional Veterans Administration, Aurora, CO, USA
- Division of Geriatric Medicine, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
- Anschutz Health and Wellness Center, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Marc-Andre Cornier
- Division of Endocrinology, Diabetes, and Metabolic Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Tanya M. Halliday
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
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Purcell SA, Melanson EL, Afghahi A, Borges VF, Sinelli I, Cornier MA. The effects of resistance exercise on appetite sensations, appetite related hormones and energy intake in hormone receptor-positive breast cancer survivors. Appetite 2023; 182:106426. [PMID: 36539160 DOI: 10.1016/j.appet.2022.106426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 11/16/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Abstract
Appetite is a determinant of dietary intake and is impacted by sex hormones, exercise, and body composition among individuals without chronic conditions. Whether appetite is altered by exercise in the context of estrogen suppression and cancer survivorship is unknown. This randomized cross-over study compared appetite and ad libitum energy intake (EI) after acute resistance exercise (REx) versus sedentary (SED) conditions and in relation to body composition and resting metabolic rate (RMR) in breast cancer survivors (BCS). Physically inactive premenopausal females with previous stage I-III estrogen receptor-positive breast cancer completed a single bout of REx or SED 35 minutes after a standardized breakfast meal. Appetite visual analog scales and hormones (total ghrelin and peptide-YY [PYY]) were measured before and 30, 90, 120, 150, and 180 minutes post-meal and expressed as area under the curve (AUC). Participants were offered a buffet-type meal 180 minutes after breakfast to assess ad libitum EI. Body composition (dual X-ray absorptiometry) and RMR (indirect calorimetry) were measured during a separate visit. Sixteen BCS were included (age: 46 ± 2 y, BMI: 24.9 ± 1.0 kg/m2). There were no differences in appetite ratings or EI between conditions. There were no differences in appetite hormone AUC, but REx resulted in lower ghrelin 120 (-85 ± 39 pg/mL, p = 0.031) and 180 (-114 ± 43 pg/mL, p = 0.018) minutes post-breakfast and higher PYY 90 (21 ± 10 pg/mL, p = 0.028) and 120 (14 ± 7 pg/mL, p = 0.041) minutes post-breakfast. Fat-free mass and RMR negatively correlated with hunger and prospective food consumption AUC after SED, but not REx. In sum, a single REx bout temporarily reduces orexigenic and increases anorexic appetite hormones, but not acute subjective appetite sensations or EI.
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Affiliation(s)
- Sarah A Purcell
- School of Medicine, Division of Endocrinology Metabolism and Diabetes, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA; Department of Medicine, Division of Endocrinology, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada; Department of Biology, University of British Columbia - Okanagan, Kelowna, BC, V1V 1V7, Canada.
| | - Edward L Melanson
- School of Medicine, Division of Endocrinology Metabolism and Diabetes, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA; Rocky Mountain Regional VA Medical Center, Aurora, CO, 80045, USA; Department of Medicine, Division of Geriatric Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Anosheh Afghahi
- School of Medicine, Division of Medical Oncology, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA; Young Women's Breast Cancer Translational Program, University of Colorado Cancer Center, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Virginia F Borges
- School of Medicine, Division of Medical Oncology, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA; Young Women's Breast Cancer Translational Program, University of Colorado Cancer Center, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Isabella Sinelli
- School of Medicine, Division of Endocrinology Metabolism and Diabetes, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Marc-Andre Cornier
- School of Medicine, Division of Endocrinology Metabolism and Diabetes, University of Colorado - Anschutz Medical Campus, Aurora, CO, 80045, USA; Department of Medicine, Division of Endocrinology, Diabetes, and Metabolic Diseases, Medical University of South Carolina, Charleston, SC, 29425, USA
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Fuchita M, Ridgeway KJ, Kimzey C, Melanson EL, Fernandez-Bustamante A. Accelerometer-measured Inpatient Physical Activity and Associated Outcomes after Major Abdominal Surgery: A Systematic Review (Preprint). Interact J Med Res 2023; 12:e46629. [PMID: 37184924 DOI: 10.2196/46629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND It remains unclear how inpatient physical activity after major abdominal surgery affects outcomes. Accelerometer research may provide further evidence for postoperative mobilization. OBJECTIVE We aimed to summarize the current literature evaluating the impact of accelerometer-measured postoperative physical activity on outcomes after major abdominal surgery. METHODS We searched PubMed and Google Scholar in October 2021 to conduct a systematic review. Studies were included if they used accelerometers to measure inpatient physical behaviors immediately after major abdominal surgery, defined as any nonobstetric procedures performed under general anesthesia requiring hospital admission. Studies were eligible only if they evaluated the effects of physical activity on postoperative outcomes such as postoperative complications, return of gastrointestinal function, hospital length of stay, discharge destination, and readmissions. We excluded studies involving participants aged <18 years. Risk of bias was assessed using the risk-of-bias assessment tool for nonrandomized studies (RoBANS) for observational studies and the revised Cochrane risk-of-bias tool for randomized trials (RoB 2) for randomized controlled trials (RCTs). Findings were summarized by qualitative synthesis. RESULTS We identified 15 studies. Risk of bias was high in 14 (93%) of the 15 studies. Most of the studies (11/15, 73%) had sample sizes of <100. Of the 15 studies, 13 (87%) included the general surgery population, 1 (7%) was a study of patients who had undergone gynecologic surgery, and 1 (7%) included a mixed (abdominal, thoracic, gynecologic, and orthopedic) surgical population. Of the 15 studies, 12 (80%) used consumer-grade accelerometers to measure physical behaviors. Step count was the most commonly reported physical activity outcome (12/15, 80%). In the observational studies (9/15, 60%), increased physical activity during the immediate postoperative period was associated with earlier return of gastrointestinal function, fewer surgical and pulmonary complications, shorter hospital length of stay, and fewer readmissions. In the RCTs (6/15, 40%), only 1 (17%) of the 6 studies demonstrated improved outcomes (shorter time to flatus and hospital length of stay) when a mobility-enhancing intervention was compared with usual care. Notably, mobility-enhancing interventions used in 4 (67%) of the 6 RCTs did not result in increased postoperative physical activity. CONCLUSIONS Although observational studies show strong associations between postoperative physical activity and outcomes after major abdominal surgery, RCTs have not proved the benefit of mobility-enhancing interventions compared with usual care. The overall risk of bias was high, and we could not synthesize specific recommendations for postoperative mobilization. Future research would benefit from improving study design, increasing methodologic rigor, and measuring physical behaviors beyond step counts to understand the impact of postoperative mobilization on outcomes after major abdominal surgery.
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Hill EB, Siebert JC, Yazza DN, Ostendorf DM, Bing K, Wayland L, Scorsone JJ, Bessesen DH, MacLean PS, Melanson EL, Catenacci VA, Borengasser SJ. Proteomics, dietary intake, and changes in cardiometabolic health within a behavioral weight-loss intervention: A pilot study. Obesity (Silver Spring) 2022; 30:2134-2145. [PMID: 36321274 PMCID: PMC9634672 DOI: 10.1002/oby.23574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/15/2022] [Accepted: 08/24/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Identifying associations among circulating proteins, dietary intakes, and clinically relevant indicators of cardiometabolic health during weight loss may elucidate biologically relevant pathways affected by diet, allowing for an incorporation of precision nutrition approaches when designing future interventions. This study hypothesized that plasma proteins would be associated with diet and cardiometabolic health indicators within a behavioral weight-loss intervention. METHODS This secondary data analysis included participants (n = 20, mean [SD], age: 40.1 [9.5] years, BMI: 34.2 [4.0] kg/m2 ) who completed a 1-year behavioral weight-loss intervention. Cardiovascular disease-related plasma proteins, diet, and cardiometabolic health indicators were evaluated at baseline and 3 months. Associations were determined via linear regression and integrated networks created using Visualization Of LineAr Regression Elements (VOLARE). RESULTS A total of 16 plasma proteins were associated with ≥1 diet or health indicator at baseline (p < 0.001); changes in 42 proteins were associated with changes in diet or health indicators from baseline to 3 months (p < 0.005). Baseline tumor necrosis factor receptor superfamily member 10C (TNFRSF10C) was associated with intakes of dark green vegetables (r = -0.712), and fatty acid-binding protein 4 (FABP4) was associated with intakes of unsweetened coffee (r = -0.689). Changes in refined-grain intakes were associated with changes in scavenger receptor cysteine-rich type 1 protein M130 (CD163; r = 0.725), interleukin-1 receptor type 1 (IL1R-T1; r = 0.624), insulin (r = 0.656), and triglycerides (r = 0.648). CONCLUSIONS Circulating cardiovascular disease-related proteins were associated with diet and cardiometabolic health indicators prior to and in response to weight loss.
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Affiliation(s)
- Emily B. Hill
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Deaunabah N. Yazza
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Danielle M. Ostendorf
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristen Bing
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Liza Wayland
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jared J. Scorsone
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Daniel H. Bessesen
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Paul S. MacLean
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward L. Melanson
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
| | - Victoria A. Catenacci
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sarah J. Borengasser
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Zaman A, Zaman A, Caldwell AE, Ostendorf DM, Pan Z, Hill EB, Rynders CA, Suboc GT, Bessesen DH, MacLean PS, Melanson EL, Thomas EA, Catenacci VA. RF24 | PSUN110 A Cross-Sectional Study Evaluating the Impact of Combined Hormonal Contraceptives on Components of Energy Balance in Pre-Menopausal Women with Overweight or Obesity. J Endocr Soc 2022. [PMCID: PMC9624749 DOI: 10.1210/jendso/bvac150.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background Combined estrogen and progestin hormonal contraceptives (CHCs, including combined oral contraceptives, hormonal patches, or vaginal rings) expose women to supraphysiologic levels of reproductive hormones, which in turn suppress endogenous estrogen and progesterone. Sustained elevations of synthetic estrogen/progestin or suppression of endogenous hormones in CHC users may lead to altered dietary intake and/or patterns of physical activity (PA). Previously, we reported that CHC use was associated with higher energy intake (EI) and weight regain over 1 year after weight loss in women with overweight and obesity enrolled in a behavioral weight loss program, suggesting a potential impact of CHCs on energy balance in the weight reduced state. The aim of this secondary data analysis was to compare dietary intake and PA in weight-stable women with overweight or obesity using CHCs to non-CHC users. Methods Pre-menopausal women with overweight or obesity (n=269, age 18-55 years, BMI 27-45kg/m2) enrolled in 3 different interventional weight loss trials were categorized as CHC users (CHC, n=48) or non-CHC controls (CON, n=221). Fat mass (FM) and lean mass (LM) were measured with DXA. Self-reported dietary energy and macronutrient intake was obtained from either 3-day (n=178) or 7-day (n=91) written diet diaries and analyzed using Nutrition Data System for Research (NDSR) software. Healthy eating index (HEI) scores for diet quality were calculated in a subset (CHC=17, CON=84) of participants using variables available in NDSR output files. Additionally, average daily step counts were measured over 1 week in a subset (CHC=27, CON=143) of participants using the activPAL device. Results Age was lower in CHC users (mean±SD; CHC 35.3±9.0 vs. CON 39.4±7.6 years, p<0.01), but race and ethnicity did not differ between the two groups. After controlling for age, there were no significant differences between groups in baseline BMI (mean±SEM; CHC 34.3±0.7 vs. CON 34.8±0.3 kg/m2), weight (93.6±2.4 vs. 94.2±1.1 kg), %FM (43.3±0.6 vs. 42.7±0.3%), or %LM (54.3±0.6 vs. 54.7±0.3%). There were no significant differences between groups in EI (mean±SEM; CHC 1763.7±78.1 vs. CON 1768.8±36.7 kcal); proportions of fat (36.7±0.9 vs. 36.9±0.4%), carbohydrate (43.9±1.1 vs. 44.3±0.5%), and protein intake (17.7±0.6 vs. 17.3±0.3%); or HEI scores (58.3±2.9 vs. 56.8±1.3). There was a trend for lower daily step count in CHC users (mean±SEM; CHC 5978±460 vs. CON 6913±197 steps/day, p=0.07). Conclusion Daily steps tended to be lower in CHC users compared to controls, while differences in self-reported dietary intake were not observed. Future studies that are done in larger samples over a greater range of BMI and with more detailed measures of PA timed to the menstrual cycle are needed to explore the extent to which CHC use may impact energy balance in women. Presentation: Sunday, June 12, 2022 12:30 p.m. - 2:30 p.m., Sunday, June 12, 2022 1:06 p.m. - 1:11 p.m.
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Purcell SA, Legget KT, Halliday TM, Pan Z, Creasy SA, Blankenship JM, Hild A, Tregellas JR, Melanson EL, Cornier MA. Appetitive and Metabolic Responses to an Exercise versus Dietary Intervention in Adults with Obesity. Transl J Am Coll Sports Med 2022; 7:e000211. [PMID: 36337848 PMCID: PMC9635267 DOI: 10.1249/tjx.0000000000000211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Introduction/Purpose Dietary restriction (DIET) and aerobic exercise (AEX) interventions may impact energy balance differently. Our aim was to describe the effects of weight loss interventions via DIET or AEX on measures of energy balance. Methods Adults with overweight or obesity were randomized to 12 weeks of DIET or AEX with similar calorie deficit goals. A study day was conducted before and after the intervention to assess subjective and hormonal (ghrelin, peptide-YY, glucagon-like peptide-1) appetite responses to a control meal, ad libitum energy intake (EI) at a single meal, and over three days of free-living conditions and eating behavior traits. Resting metabolic rate (RMR) was measured with indirect calorimetry and adjusted for body composition measured by dual X-ray absorptiometry. Non-exercise activity was measured using accelerometers. Results Forty-four individuals were included (age: 37 ± 9 years, body mass index: 30.6 ± 3.1 kg/m2). Both interventions resulted in weight and fat mass loss. The DIET group lost fat-free mass, although differences between groups were not significant (DIET: -1.2 ± 1.7 kg, p<0.001; AEX: 0.4 ± 1.5 kg, p=0.186; p=0.095 interaction). There were no differences in RMR after body composition adjustment. Both interventions were associated with an increase in dietary restraint (DIET: 4.9 ± 1.2, AEX: 2.8 ± 0.7; p<0.001 in both groups). Hunger decreased with DIET (-1.4 ± 0.5, p=0.003), and disinhibition decreased with AEX (-1.5 ± 0.5, p<0.001), although these changes were not different between groups (i.e., no group × time interaction). No other differences in appetite, EI, or non-exercise physical activity were observed within or between groups. Conclusions AEX did not result in compensatory alterations in appetite, ad libitum EI, or physical activity, despite assumed increased energy expenditure. Modest evidence also suggested that disinhibition and hunger may be differentially impacted by weight loss modality.
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Affiliation(s)
- Sarah A. Purcell
- Division of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristina T. Legget
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
| | - Tanya M. Halliday
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
| | - Zhaoxing Pan
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Seth A. Creasy
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jennifer M. Blankenship
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Allison Hild
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jason R. Tregellas
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marc-Andre Cornier
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Rocky Mountain Regional VA Medical Center, Aurora, CO, USA
- Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
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Thomas JV, Tobin SY, Burns RD, Bailey RR, Melanson EL, Cornier MA, Halliday TM. THE EFFECT OF SINGLE BOUTS OF AEROBIC AND RESISTANCE EXERCISE ON NON-EXERCISE PHYSICAL ACTIVITY. Med Sci Sports Exerc 2022. [DOI: 10.1249/01.mss.0000877208.57943.b5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Ostendorf DM, Caldwell AE, Zaman A, Pan Z, Bing K, Wayland LT, Creasy SA, Bessesen DH, MacLean P, Melanson EL, Catenacci VA. Comparison of weight loss induced by daily caloric restriction versus intermittent fasting (DRIFT) in individuals with obesity: study protocol for a 52-week randomized clinical trial. Trials 2022; 23:718. [PMID: 36038881 PMCID: PMC9421629 DOI: 10.1186/s13063-022-06523-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 07/06/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The standard of care for treating overweight and obesity is daily caloric restriction (DCR). While this approach produces modest weight loss, adherence to DCR declines over time and weight regain is common. Intermittent fasting (IMF) is an alternative dietary strategy for reducing energy intake (EI) that involves >60% energy restriction on 2-3 days per week, or on alternate days, with habitual intake on fed days. While numerous studies have evaluated IMF as a weight loss strategy, there are several limitations including lack of a standard-of-care DCR control, failure to provide guideline-based behavioral support, and failure to rigorously evaluate dietary and PA adherence using objective measures. To date, only three longer-term (52-week) trials have evaluated IMF as a weight loss strategy. None of these longer-duration studies reported significant differences between IMF and DCR in changes in weight. However, each of these studies has limitations that prohibit drawing generalizable conclusions about the relative long-term efficacy of IMF vs. DCR for obesity treatment. METHODS The Daily Caloric Restriction vs. Intermittent Fasting Trial (DRIFT) is a two-arm, 52-week block randomized (1:1) clinical weight loss trial. The two intervention arms (DCR and IMF) are designed to prescribe an equivalent average weekly energy deficit from baseline weight maintenance energy requirements. Both DCR and IMF will be provided guideline-based behavioral support and a PA prescription. The primary outcome is change in body weight at 52 weeks. Secondary outcomes include changes in body composition (dual-energy x-ray absorptiometry (DXA)), metabolic parameters, total daily energy expenditure (TDEE, doubly labeled water (DLW)), EI (DLW intake-balance method, 7-day diet diaries), and patterns of physical activity (PA, activPAL device). DISCUSSION Although DCR leads to modest weight loss success in the short-term, there is wide inter-individual variability in weight loss and poor long-term weight loss maintenance. Evidence-based dietary approaches to energy restriction that are effective long-term are needed to provide a range of evidence-based options to individuals seeking weight loss. The DRIFT study will evaluate the long-term effectiveness of IMF vs. DCR on changes in objectively measured weight, EI, and PA, when these approaches are delivered using guideline-based behavioral support and PA prescriptions.
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Affiliation(s)
- Danielle M. Ostendorf
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Ann E. Caldwell
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Adnin Zaman
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Zhaoxing Pan
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Kristen Bing
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Liza T. Wayland
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Seth A. Creasy
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Daniel H. Bessesen
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Paul MacLean
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO USA
| | - Victoria A. Catenacci
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
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Tobin SY, Cornier MA, White MH, Hild AK, Simonsen SE, Melanson EL, Halliday TM. Corrigendum to "The effects of acute exercise on appetite and energy intake in Men and Women". Physiol Behav 2022; 249:113774. [PMID: 35287962 DOI: 10.1016/j.physbeh.2022.113774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Selene Y Tobin
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, USA
| | - Marc-Andre Cornier
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA; Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA; Rocky Mountain Regional Veterans Administration, Aurora, Colorado, USA
| | - Mollie H White
- Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
| | - Allison K Hild
- Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA; Rocky Mountain Regional Veterans Administration, Aurora, Colorado, USA; Division of Geriatric Medicine, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
| | - Tanya M Halliday
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, USA; Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.
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Creasy SA, Wayland L, Panter SL, Purcell SA, Rosenberg R, Willis EA, Shiferaw B, Grau L, Breit MJ, Bessesen DH, Melanson EL, Catenacci VA. Effect of Morning and Evening Exercise on Energy Balance: A Pilot Study. Nutrients 2022; 14:816. [PMID: 35215466 PMCID: PMC8877501 DOI: 10.3390/nu14040816] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/09/2022] [Accepted: 02/11/2022] [Indexed: 12/14/2022] Open
Abstract
The purpose of this study was to evaluate the feasibility and acceptability of randomizing adults with overweight and obesity (BMI 25-40 kg/m2) to morning (06:00-10:00) or evening (15:00-19:00) aerobic exercise. Participants completed four exercise sessions per week in the morning (AM, n = 18) or evening (PM, n = 15). The exercise program was 15 weeks and progressed from 70 to 80% heart rate maximum and 750-2000 kcal/week. Bodyweight, body composition, total daily energy expenditure (TDEE), energy intake (EI), sleep, sedentary behavior (SB), non-exercise physical activity (NEPA), and maximal aerobic capacity were assessed at baseline and week 15. Study retention was 94% and adherence to the supervised exercise program was ≥90% in both groups. Weight change was -0.9 ± 2.8 kg and -1.4 ± 2.3 kg in AM and PM, respectively. AM and PM increased TDEE (AM: 222 ± 399 kcal/day, PM: 90 ± 150 kcal/day). EI increased in AM (99 ± 198 kcal/day) and decreased in PM (-21 ± 156 kcal/day) across the intervention. It is feasible to randomize adults with overweight and obesity to morning or evening aerobic exercise with high levels of adherence. Future trials are needed to understand how the timing of exercise affects energy balance and body weight regulation.
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Affiliation(s)
- Seth A. Creasy
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Liza Wayland
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Shelby L. Panter
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Sarah A. Purcell
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Rebecca Rosenberg
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
| | - Erik A. Willis
- Center for Health Promotion Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA;
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA
| | - Bethelhem Shiferaw
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (B.S.); (L.G.)
| | - Laura Grau
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (B.S.); (L.G.)
| | - Matthew J. Breit
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
| | - Daniel H. Bessesen
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
- Division of Endocrinology, Denver Health Medical Center, Denver, CO 80204, USA
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
- Eastern Colorado VA Geriatric Research, Education, and Clinical Center, Aurora, CO 80045, USA
- Division of Geriatrics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Victoria A. Catenacci
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (S.L.P.); (S.A.P.); (R.R.); (M.J.B.); (D.H.B.); (E.L.M.); (V.A.C.)
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
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Marlatt KL, Pitynski-Miller DR, Gavin KM, Moreau KL, Melanson EL, Santoro N, Kohrt WM. Body composition and cardiometabolic health across the menopause transition. Obesity (Silver Spring) 2022; 30:14-27. [PMID: 34932890 PMCID: PMC8972960 DOI: 10.1002/oby.23289] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 07/15/2021] [Accepted: 08/09/2021] [Indexed: 12/23/2022]
Abstract
Every year, 2 million women reach menopause in the United States, and they may spend 40% or more of their life in a postmenopausal state. In the years immediately preceding menopause-known as the menopause transition (or perimenopause)-changes in hormones and body composition increase a woman's overall cardiometabolic risk. In this narrative review, we summarize the changes in weight, body composition, and body fat distribution, as well as the changes in energy intake, energy expenditure, and other cardiometabolic risk factors (lipid profile, glucose metabolism, sleep health, and vascular function), that occur during the menopause transition. We also discuss the benefits of lifestyle interventions in women in the earlier stages of menopause before these detrimental changes occur. Finally, we discuss how to include perimenopausal women in research studies so that women across the life-span are adequately represented.
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Affiliation(s)
- Kara L. Marlatt
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Dori R. Pitynski-Miller
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Health Care System, Geriatric Research Education and Clinical Center (GRECC), Denver, Colorado, USA
| | - Kathleen M. Gavin
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Health Care System, Geriatric Research Education and Clinical Center (GRECC), Denver, Colorado, USA
| | - Kerrie L. Moreau
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Health Care System, Geriatric Research Education and Clinical Center (GRECC), Denver, Colorado, USA
| | - Edward L. Melanson
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Health Care System, Geriatric Research Education and Clinical Center (GRECC), Denver, Colorado, USA
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Nanette Santoro
- Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Wendy M. Kohrt
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Health Care System, Geriatric Research Education and Clinical Center (GRECC), Denver, Colorado, USA
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20
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Grau L, Arbet J, Ostendorf DM, Blankenship JM, Panter SL, Catenacci VA, Melanson EL, Creasy SA. Creating an algorithm to identify indices of sleep quantity and quality from a wearable armband in adults. Sleep Sci 2022; 15:279-287. [PMID: 36158722 PMCID: PMC9496495 DOI: 10.5935/1984-0063.20220052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 12/23/2021] [Indexed: 11/20/2022] Open
Abstract
Objective Material and Methods Results Conclusion
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Affiliation(s)
- Laura Grau
- University of Colorado Anschutz Medical Campus, Department of
Biostatistics and Informatics - Aurora - CO - United States
| | - Jaron Arbet
- University of Colorado Anschutz Medical Campus, Department of
Biostatistics and Informatics - Aurora - CO - United States
| | - Danielle M Ostendorf
- University of Colorado Anschutz Medical Campus, Division of
Endocrinology, Metabolism, and Diabetes - Aurora - CO - United States
- University of Colorado Anschutz Medical Campus, Anschutz Health and
Wellness Center - Aurora - CO - United States
| | - Jennifer M Blankenship
- University of Colorado Anschutz Medical Campus, Division of
Endocrinology, Metabolism, and Diabetes - Aurora - CO - United States
| | - Shelby L Panter
- University of Colorado Anschutz Medical Campus, Division of
Endocrinology, Metabolism, and Diabetes - Aurora - CO - United States
- University of Colorado Anschutz Medical Campus, Anschutz Health and
Wellness Center - Aurora - CO - United States
| | - Victoria A Catenacci
- University of Colorado Anschutz Medical Campus, Division of
Endocrinology, Metabolism, and Diabetes - Aurora - CO - United States
- University of Colorado Anschutz Medical Campus, Anschutz Health and
Wellness Center - Aurora - CO - United States
| | - Edward L Melanson
- University of Colorado Anschutz Medical Campus, Division of
Endocrinology, Metabolism, and Diabetes - Aurora - CO - United States
- Eastern Colorado VA, Geriatric Research, Education, and Clinical
Center - Aurora - CO - United States
- University of Colorado Anschutz Medical Campus, Division of
Geriatrics - Aurora - CO - United States
| | - Seth A Creasy
- University of Colorado Anschutz Medical Campus, Division of
Endocrinology, Metabolism, and Diabetes - Aurora - CO - United States
- University of Colorado Anschutz Medical Campus, Anschutz Health and
Wellness Center - Aurora - CO - United States
- Corresponding author: Seth A Creasy, E-mail:
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21
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Depner CM, Rice JD, Tussey EJ, Eckel RH, Bergman BC, Higgins JA, Melanson EL, Kohrt WM, Wright KP, Swanson CM. Bone turnover marker responses to sleep restriction and weekend recovery sleep. Bone 2021; 152:116096. [PMID: 34216838 PMCID: PMC8316414 DOI: 10.1016/j.bone.2021.116096] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 05/28/2021] [Accepted: 06/25/2021] [Indexed: 01/29/2023]
Abstract
BACKGROUND Prior data demonstrated three weeks of sleep restriction and concurrent circadian disruption uncoupled bone turnover markers (BTMs), indicating decreased bone formation and no change or increased bone resorption. The effect of insufficient sleep with or without ad libitum weekend recovery sleep on BTMs is unknown. METHODS BTMs were measured in stored serum from 20 healthy adults randomized to one of three study groups consisting of a control group (N = 3 men; 9 h/night) or one of two nocturnal sleep restriction groups in an inpatient laboratory environment. One Sleep Restriction group ("SR"; N = 9; 4 women) had 5 h sleep opportunity per night for nine nights. The other sleep restriction group had an opportunity for ad libitum Weekend Recovery sleep ("WR"; N = 8; 4 women) after four nights of 5 h sleep opportunity per night. Food intake was energy balanced at baseline and ad libitum thereafter. Fasted morning BTM levels and hourly 24 h melatonin levels were obtained on study days 3 (baseline), 5 (after 1 night of sleep restriction for WR and SR), and 11 (after a sleep restricted workweek with weekend recovery sleep in WR or 7 nights of sleep restriction in SR). Linear mixed-effects modeling was used to examine the effect of study duration (e.g., change over time), study condition, age, and sex on BTMs. Pearson correlations were used to determine associations between changes in BTMs and changes in weight and morning circadian misalignment (i.e., duration of high melatonin levels after wake time). RESULTS There was no significant difference between the three study groups in change over time (p ≥ 0.4 for interaction between assigned group and time for all BTMs), adjusted for age and sex. There was no significant change in N-terminal propeptide of procollagen type I (P1NP), osteocalcin, or C-telopeptide of type I collagen (CTX) from baseline to day 11 (all p ≥ 0.3). In women <25 years old, there was a non-significant decline in P1NP from day 3 to day 5 (= -15.74 ± 7.80 ng/mL; p = 0.06). Change in weight and morning circadian misalignment from baseline to day 11 were correlated with statistically non-significant changes in BTMs (all p ≤ 0.05). CONCLUSION In this small secondary analysis, we showed that nine nights of prescribed sleep restriction with or without weekend recovery sleep and ad libitum food intake did not alter BTMs. It is possible that age, sex, weight change and morning circadian misalignment modify the effects of sleep restriction on bone metabolism.
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Affiliation(s)
- Christopher M Depner
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA; Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
| | - John D Rice
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Emma J Tussey
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Robert H Eckel
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Bryan C Bergman
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Janine A Higgins
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward L Melanson
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, and Eastern Colorado VA Geriatric, Research, Education, and Clinical Center (GRECC), Aurora, CO, USA
| | - Wendy M Kohrt
- Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, and Eastern Colorado VA Geriatric, Research, Education, and Clinical Center (GRECC), Aurora, CO, USA
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA; Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christine M Swanson
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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22
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Tobin SY, Cornier MA, White MH, Hild AK, Simonsen SE, Melanson EL, Halliday TM. The effects of acute exercise on appetite and energy intake in men and women. Physiol Behav 2021; 241:113562. [PMID: 34516956 DOI: 10.1016/j.physbeh.2021.113562] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/04/2021] [Accepted: 08/25/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE To compare energy intake (EI) and appetite regulation responses between men and women following acute bouts of aerobic (AEx), resistance exercise (REx), and a sedentary control (CON). METHODS Men and women (n = 24; 50% male) with overweight/obesity, matched on age (32.3 ± 2 vs. 36.8 ± 2 yrs, p = 0.14) and BMI (28.1 ± 1.2 vs 29.0 ± 1.5 kg/m2, p = 0.64) completed 3 conditions: 1) AEx (65-70% of age-predicted maximum heart rate for 45 min); 2) REx (1-set to failure on 12 exercises); and 3) CON. Each condition was initiated in the post-prandial state (35 min following consumption of a standardized breakfast). Appetite (visual analog scale for hunger, satiety, and prospective food consumption [PFC]) and hormones (ghrelin, PYY, and GLP-1) were measured in the fasted state and every 30 min post-prandially for 3 h. Post-exercise ad libitum EI at the lunch meal was also measured. RESULTS Men reported higher levels of hunger compared to women across all study conditions (AEx: Men: 7815.00 ± 368.3; Women: 5428.50 ± 440.0 mm x 180 min; p = 0.025; REx: Men: 7110.00 ± 548.4; Women: 6086.25 ± 482.9 mm x 180 min; p = 0.427; CON: Men: 8315.00 ± 429.8; Women: 5311.25 ± 543.1 mm x 180 min; p = 0.021) and consumed a greater absolute caloric load than women at the ad libitum lunch meal (AEx: Men: 1021.6 ± 105.4; Women: 851.7 ± 70.5 kcals; p = 0.20; REx: Men: 1114.7 ± 104.0; Women: 867.7 ± 76.4 kcals; p = 0.07; CON: Men: 1087.0 ± 98.8; Women: 800.5 ± 102.3 kcals; p = 0.06). However, when adjusted for relative energy needs, there was no difference in relative ad libitum EI observed between men and women. No differences in Area Under the Curve for Satiety, PFC, ghrelin, PYY, and GLP-1 were noted between men and women following acute exercise (all p > 0.05). CONCLUSIONS These data suggest that women report lower ratings of appetite following an acute bout of exercise or sedentary time when compared to men, yet have similar relative EI. Future work is needed to examine whether sex-based differences in appetite regulation and EI are present with chronic exercise of differing modalities.
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Affiliation(s)
- Selene Y Tobin
- Department of Health and Kinesiology, College of Health, University of Utah, 250 S 1850 E., Salt Lake City, UT 84112, United States
| | - Marc-Andre Cornier
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States; Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States; Rocky Mountain Regional Veterans Administration, Aurora, Colorado, United States
| | - Mollie H White
- Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States
| | - Allison K Hild
- Anschutz Health & Wellness Center at the University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States
| | - Sara E Simonsen
- College of Nursing, University of Utah, Salt Lake City, United States
| | - Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States; Rocky Mountain Regional Veterans Administration, Aurora, Colorado, United States; Division of Geriatric Medicine, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States
| | - Tanya M Halliday
- Department of Health and Kinesiology, College of Health, University of Utah, 250 S 1850 E., Salt Lake City, UT 84112, United States; Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States.
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23
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Ostendorf DM, Blankenship JM, Grau L, Arbet J, Mitchell NS, Creasy SA, Caldwell AE, Melanson EL, Phelan S, Bessesen DH, Catenacci VA. Predictors of long-term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis. Obes Sci Pract 2021; 7:569-582. [PMID: 34631135 PMCID: PMC8488452 DOI: 10.1002/osp4.530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/30/2021] [Accepted: 05/08/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Substantial interindividual variability in response to behavioral weight loss interventions remains a critical challenge in obesity treatment. An improved understanding of the complex factors that contribute to this variability may improve obesity treatment outcomes. OBJECTIVE To identify weight change trajectories during a behavioral weight loss intervention and to explore differences between trajectory groups in sociodemographic, biologic, behavioral, and psychosocial factors. METHODS Adults (n = 170, 40 ± 9 years, BMI 34 ± 4 kg/m2, 84% female) participated in an 18-month behavioral weight loss intervention. Weight was measured at 0, 3, 6, 9, 12, 15, 18, and 24 months. Among participants with at least two weights after baseline (n = 140), clusters of longitudinal trajectories of changes in weight were identified using a latent class growth mixture model. The association between baseline factors or changes in factors over time and trajectory group was examined. RESULTS Two weight change trajectories were identified: "weight regainers" (n = 91) and "weight loss maintainers" (n = 49). Black participants (90%, 19/21) were more likely than non-Black participants to be regainers versus maintainers (p < 0.01). Maintainers demonstrated greater increases in device-measured physical activity, autonomous motivation for exercise, diet self-efficacy, cognitive restraint, and engagement in weight management behaviors and greater reductions in barriers for exercise, disinhibition, and depressive symptoms over 24 months versus regainers (p < 0.05). CONCLUSION Maintainers and regainers appear to be distinct trajectories that are associated with specific sociodemographic, behavioral, and psychosocial factors. Study results suggest potential targets for more tailored, multifaceted interventions to improve obesity treatment outcomes.
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Affiliation(s)
- Danielle M. Ostendorf
- Department of MedicineAnschutz Health and Wellness CenterUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Department of MedicineDivision of Endocrinology, Metabolism, and DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Jennifer M. Blankenship
- Department of MedicineDivision of Endocrinology, Metabolism, and DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Laura Grau
- Department of Biostatistics and InformaticsColorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Jaron Arbet
- Department of Biostatistics and InformaticsColorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Nia S. Mitchell
- Department of MedicineDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Seth A. Creasy
- Department of MedicineAnschutz Health and Wellness CenterUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Department of MedicineDivision of Endocrinology, Metabolism, and DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Ann E. Caldwell
- Department of MedicineAnschutz Health and Wellness CenterUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Department of MedicineDivision of Endocrinology, Metabolism, and DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Edward L. Melanson
- Department of MedicineDivision of Endocrinology, Metabolism, and DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Department of MedicineDivision of Geriatric MedicineUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical CenterDenverColoradoUSA
| | - Suzanne Phelan
- Department of Kinesiology & Public HealthCalifornia Polytechnic State UniversitySan Luis ObispoCaliforniaUSA
| | - Daniel H. Bessesen
- Department of MedicineAnschutz Health and Wellness CenterUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Department of MedicineDivision of Endocrinology, Metabolism, and DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Victoria A. Catenacci
- Department of MedicineAnschutz Health and Wellness CenterUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- Department of MedicineDivision of Endocrinology, Metabolism, and DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
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24
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Blankenship JM, Rosenberg RC, Rynders CA, Melanson EL, Catenacci VA, Creasy SA. Examining the Role of Exercise Timing in Weight Management: A Review. Int J Sports Med 2021; 42:967-978. [PMID: 34034354 PMCID: PMC8591839 DOI: 10.1055/a-1485-1293] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Many adults cite exercise as a primary strategy for losing weight, yet exercise alone is modestly effective for weight loss and results in variable weight loss responses. It is possible that some of the variability in weight loss may be explained by the time of day that exercise is performed. Few studies have directly compared the effects of exercise performed at different times of the day (i. e., morning versus evening exercise). Results from these existing studies are mixed with some studies demonstrating superior weight and fat mass loss from morning exercise, while other studies have found that evening exercise may be better for weight management. Exercise timing may alter modifiable lifestyle behaviors involved in weight management, such as non-exercise physical activity, energy intake, and sleep. The purpose of this review is to summarize evidence for and against time-of-day dependent effects of exercise on weight management. Although limited, we also review studies that have examined the effect of exercise timing on other lifestyle behaviors linked to body weight regulation. While exercise at any time of day is beneficial for health, understanding whether there is an optimal time of day to exercise may advance personalized treatment paradigms for weight management.
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Affiliation(s)
- Jennifer M. Blankenship
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | - Corey A. Rynders
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Geriatrics, VA Eastern Colorado Health Care System, Aurora, CO
| | - Victoria A. Catenacci
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Seth A. Creasy
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
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25
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Dahle JH, Ostendorf DM, Pan Z, MacLean PS, Bessesen DH, Heymsfield SB, Melanson EL, Catenacci VA. Weight and body composition changes affect resting energy expenditure predictive equations during a 12-month weight-loss intervention. Obesity (Silver Spring) 2021; 29:1596-1605. [PMID: 34431624 DOI: 10.1002/oby.23234] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/13/2021] [Accepted: 05/13/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Mathematical equations that predict resting energy expenditure (REE) are widely used to derive calorie prescriptions during weight-loss interventions. Although such equations are known to introduce group- and individual-level error into REE prediction, their validity has largely been assessed in weight-stable populations. Therefore, this study sought to characterize how weight change affects the validity of commonly used REE predictive models throughout a 12-month weight-loss intervention. METHODS Changes in predictive error of four models (Mifflin-St-Jeor, Harris-Benedict, Owen, and World Health Organization/Food and Agriculture) were assessed at 1-, 6-, and 12-month time points in adults (n = 66, 76% female, aged 18-55 years, BMI = 27-45 kg/m2 ) enrolled in a randomized clinical weight-loss trial. RESULTS All equations experienced significant negative shifts in bias (measured - predicted REE) toward overprediction from baseline to 1 month (p < 0.05). Three equations showed reversal of bias in the positive direction (toward underprediction) from baseline to 12 months (p < 0.05). Early changes in bias were correlated with decreased fat-free mass (p ≤ 0.01). CONCLUSIONS Changes in body composition and mass during a 12-month weight-loss intervention significantly affected REE predictive error in adults with overweight and obesity. Weight history should be considered when using mathematical models to predict REE during periods of weight fluctuation.
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Affiliation(s)
- Jared H Dahle
- Integrated Physiology Program, Graduate School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Danielle M Ostendorf
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Zhaoxing Pan
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Paul S MacLean
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Daniel H Bessesen
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Victoria A Catenacci
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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26
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Purcell SA, Marker RJ, Cornier MA, Melanson EL. Dietary Intake and Energy Expenditure in Breast Cancer Survivors: A Review. Nutrients 2021; 13:nu13103394. [PMID: 34684403 PMCID: PMC8540510 DOI: 10.3390/nu13103394] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/23/2021] [Accepted: 09/23/2021] [Indexed: 11/16/2022] Open
Abstract
Many breast cancer survivors (BCS) gain fat mass and lose fat-free mass during treatment (chemotherapy, radiation, surgery) and estrogen suppression therapy, which increases the risk of developing comorbidities. Whether these body composition alterations are a result of changes in dietary intake, energy expenditure, or both is unclear. Thus, we reviewed studies that have measured components of energy balance in BCS who have completed treatment. Longitudinal studies suggest that BCS reduce self-reported energy intake and increase fruit and vegetable consumption. Although some evidence suggests that resting metabolic rate is higher in BCS than in age-matched controls, no study has measured total daily energy expenditure (TDEE) in this population. Whether physical activity levels are altered in BCS is unclear, but evidence suggests that light-intensity physical activity is lower in BCS compared to age-matched controls. We also discuss the mechanisms through which estrogen suppression may impact energy balance and develop a theoretical framework of dietary intake and TDEE interactions in BCS. Preclinical and human experimental studies indicate that estrogen suppression likely elicits increased energy intake and decreased TDEE, although this has not been systematically investigated in BCS specifically. Estrogen suppression may modulate energy balance via alterations in appetite, fat-free mass, resting metabolic rate, and physical activity. There are several potential areas for future mechanistic energetic research in BCS (e.g., characterizing predictors of intervention response, appetite, dynamic changes in energy balance, and differences in cancer sub-types) that would ultimately support the development of more targeted and personalized behavioral interventions.
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Affiliation(s)
- Sarah A. Purcell
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (M.-A.C.); (E.L.M.)
- Anschutz Health and Wellness Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA;
- Correspondence:
| | - Ryan J. Marker
- Anschutz Health and Wellness Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA;
- Department of Physical Medicine and Rehabilitation, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
| | - Marc-Andre Cornier
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (M.-A.C.); (E.L.M.)
- Anschutz Health and Wellness Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA;
- Rocky Mountain Regional VA Medical Center, Aurora, CO 80045, USA
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (M.-A.C.); (E.L.M.)
- Rocky Mountain Regional VA Medical Center, Aurora, CO 80045, USA
- Division of Geriatric Medicine, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
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27
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Stanislawski MA, Frank DN, Borengasser SJ, Ostendorf DM, Ir D, Jambal P, Bing K, Wayland L, Siebert JC, Bessesen DH, MacLean PS, Melanson EL, Catenacci VA. The Gut Microbiota during a Behavioral Weight Loss Intervention. Nutrients 2021; 13:3248. [PMID: 34579125 PMCID: PMC8471894 DOI: 10.3390/nu13093248] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 12/14/2022] Open
Abstract
Altered gut microbiota has been linked to obesity and may influence weight loss. We are conducting an ongoing weight loss trial, comparing daily caloric restriction (DCR) to intermittent fasting (IMF) in adults who are overweight or obese. We report here an ancillary study of the gut microbiota and selected obesity-related parameters at the baseline and after the first three months of interventions. During this time, participants experienced significant improvements in clinical health measures, along with altered composition and diversity of fecal microbiota. We observed significant associations between the gut microbiota features and clinical measures, including weight and waist circumference, as well as changes in these clinical measures over time. Analysis by intervention group found between-group differences in the relative abundance of Akkermansia in response to the interventions. Our results provide insight into the impact of baseline gut microbiota on weight loss responsiveness as well as the early effects of DCR and IMF on gut microbiota.
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Affiliation(s)
- Maggie A. Stanislawski
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Daniel N. Frank
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Sarah J. Borengasser
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Danielle M. Ostendorf
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Diana Ir
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Purevsuren Jambal
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Kristen Bing
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Liza Wayland
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Janet C. Siebert
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Daniel H. Bessesen
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Paul S. MacLean
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
| | - Edward L. Melanson
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
- Eastern Colorado Veterans Affairs Geriatric Research, Education and Clinical Center, Denver, CO 80045, USA
| | - Victoria A. Catenacci
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (D.N.F.); (S.J.B.); (D.M.O.); (D.I.); (P.J.); (K.B.); (L.W.); (J.C.S.); (D.H.B.); (P.S.M.); (E.L.M.); (V.A.C.)
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28
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Creasy SA, Hibbing PR, Cotton E, Lyden K, Ostendorf DM, Willis EA, Pan Z, Melanson EL, Catenacci VA. Temporal patterns of physical activity in successful weight loss maintainers. Int J Obes (Lond) 2021; 45:2074-2082. [PMID: 34127805 PMCID: PMC8388061 DOI: 10.1038/s41366-021-00877-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 05/12/2021] [Accepted: 05/27/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND/OBJECTIVES Individuals successful at weight loss maintenance engage in high amounts of physical activity (PA). Understanding how and when weight loss maintainers accumulate PA within a day and across the week may inform PA promotion strategies and recommendations for weight management. METHODS We compared patterns of PA in a cohort of weight loss maintainers (WLM, n = 28, maintaining ≥13.6 kg weight loss for ≥1 year, BMI 23.6 ± 2.3 kg/m2), controls without obesity (NC, n = 30, BMI similar to current BMI of WLM, BMI 22.8 ± 1.9 kg/m2), and controls with overweight/obesity (OC, n = 26, BMI similar to pre-weight loss BMI of WLM, 33.6 ± 5.1 kg/m2). PA was assessed during 7 consecutive days using the activPALTM activity monitor. The following variables were quantified; sleep duration, sedentary time (SED), light-intensity PA (LPA), moderate-to-vigorous intensity PA (MVPA), and steps. Data were examined to determine differences in patterns of PA across the week and across the day using mixed effect models. RESULTS Across the week, WLM engaged in ≥60 min of MVPA on 73% of days, significantly more than OC (36%, p < 0.001) and similar to NC (59%, p = 0.10). Across the day, WLM accumulated more MVPA in the morning (i.e., within 3 h of waking) compared to both NC and OC (p < 0.01). WLM engaged in significantly more MVPA accumulated in bouts ≥10 min compared to NC and OC (p < 0.05). Specifically, WLM engaged in more MVPA accumulated in bouts of ≥60 min compared to NC and OC (p < 0.05). CONCLUSIONS WLM engage in high amounts of MVPA (≥60 min/d) on more days of the week, accumulate more MVPA in sustained bouts, and accumulate more MVPA in the morning compared to controls. Future research should investigate if these distinct patterns of PA help to promote weight loss maintenance.
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Affiliation(s)
- Seth A. Creasy
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO,Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Paul R. Hibbing
- Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, TN
| | - Eleanor Cotton
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Kate Lyden
- Department of Kinesiology, University of Massachusetts, Amherst, MA
| | - Danielle M. Ostendorf
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO,Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Erik A. Willis
- Center for Health Promotion Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC,Department of Nutrition, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Zhaoxing Pan
- Biostatistics Core, Research Institute of Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Edward L. Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO,Eastern Colorado VA Geriatric Research, Education, and Clinical Center, Aurora, CO,Division of Geriatrics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Victoria A. Catenacci
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO,Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
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Cogswell D, Bisesi P, Markwald RR, Cruickshank-Quinn C, Quinn K, McHill A, Melanson EL, Reisdorph N, Wright KP, Depner CM. Identification of a Preliminary Plasma Metabolome-based Biomarker for Circadian Phase in Humans. J Biol Rhythms 2021; 36:369-383. [PMID: 34182829 PMCID: PMC9134127 DOI: 10.1177/07487304211025402] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Measuring individual circadian phase is important to diagnose and treat circadian rhythm sleep-wake disorders and circadian misalignment, inform chronotherapy, and advance circadian science. Initial findings using blood transcriptomics to predict the circadian phase marker dim-light melatonin onset (DLMO) show promise. Alternatively, there are limited attempts using metabolomics to predict DLMO and no known omics-based biomarkers predict dim-light melatonin offset (DLMOff). We analyzed the human plasma metabolome during adequate and insufficient sleep to predict DLMO and DLMOff using one blood sample. Sixteen (8 male/8 female) healthy participants aged 22.4 ± 4.8 years (mean ± SD) completed an in-laboratory study with 3 baseline days (9 h sleep opportunity/night), followed by a randomized cross-over protocol with 9-h adequate sleep and 5-h insufficient sleep conditions, each lasting 5 days. Blood was collected hourly during the final 24 h of each condition to independently determine DLMO and DLMOff. Blood samples collected every 4 h were analyzed by untargeted metabolomics and were randomly split into training (68%) and test (32%) sets for biomarker analyses. DLMO and DLMOff biomarker models were developed using partial least squares regression in the training set followed by performance assessments using the test set. At baseline, the DLMOff model showed the highest performance (0.91 R2 and 1.1 ± 1.1 h median absolute error ± interquartile range [MdAE ± IQR]), with significantly (p < 0.01) lower prediction error versus the DLMO model. When all conditions (baseline, 9 h, and 5 h) were included in performance analyses, the DLMO (0.60 R2; 2.2 ± 2.8 h MdAE; 44% of the samples with an error under 2 h) and DLMOff (0.62 R2; 1.8 ± 2.6 h MdAE; 51% of the samples with an error under 2 h) models were not statistically different. These findings show promise for metabolomics-based biomarkers of circadian phase and highlight the need to test biomarkers that predict multiple circadian phase markers under different physiological conditions.
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Affiliation(s)
- D Cogswell
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - P Bisesi
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - R R Markwald
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - C Cruickshank-Quinn
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - K Quinn
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - A McHill
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, Oregon
| | - E L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado
| | - N Reisdorph
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - K P Wright
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - C M Depner
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Department of Health and Kinesiology, The University of Utah, Salt Lake City, Utah
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30
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Depner CM, Melanson EL, Eckel RH, Higgins JA, Bergman BC, Perreault L, Knauer OA, Birks BR, Wright KP. Effects of ad libitum food intake, insufficient sleep and weekend recovery sleep on energy balance. Sleep 2021; 44:6290310. [PMID: 34059916 DOI: 10.1093/sleep/zsab136] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 04/23/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Insufficient sleep is believed to promote positive energy balance (EB) and weight-gain. Increasing weekend sleep duration to "recover" from weekday sleep loss is common, yet little is known regarding how weekend recovery sleep influences EB. We conducted a randomized controlled trial to assess how: 1) 2 days and 8 days of insufficient sleep and 2) ad libitum weekend recovery sleep impact EB (energy intake [EI] - energy expenditure [EE]). METHODS Following ten baseline days with 9h per night sleep opportunities, participants completed one of three 10-day experimental protocols with ad libitum EI: control (9h sleep opportunities; n=8; 23±5y [mean±SD]); sleep restriction (SR; 5h sleep opportunities; n=14; 25±5y); sleep restriction with weekend recovery sleep (SR+WR; 5 days insufficient sleep, 2 days ad libitum weekend recovery sleep, 3 days recurrent insufficient sleep; n=14; 27±4y). RESULTS 24h EB increased (P < 0.001; main effect) by an average of 797.7±96.7 (±SEM) kcal during the 10-day experimental protocol versus baseline with no significant differences between groups. Percent change from baseline in 24h-EE was higher (P < 0.05) on day 2 of insufficient sleep (SR and SR+WR groups; 10±1%) versus adequate sleep (control group; 4±3%). CONCLUSIONS In this between-group study, the effects of adequate sleep and insufficient sleep, with or without or weekend recovery sleep, on 24h-EB were similar. Examining EB and body weight changes using within-subject cross-over designs and "free-living" conditions outside the laboratory (e.g., sleep extension) are needed to advance our understanding of the links between insufficient sleep, weekend recovery sleep and weight-gain.
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Affiliation(s)
- Christopher M Depner
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.,Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
| | - Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
| | - Robert H Eckel
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Janine A Higgins
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Bryan C Bergman
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Leigh Perreault
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Oliver A Knauer
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Brian R Birks
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.,Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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31
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Ivanova YM, Swibas T, Haman F, Hildreth KL, Miao Y, Kohrt WM, Carpentier A, Melanson EL, Blondin DP. Sex Disparities in Thermoregulatory and Metabolic Responses to Mild Cold Exposure Largely Explained by Differences in Body Mass and Body Surface Area. J Endocr Soc 2021. [PMCID: PMC8089616 DOI: 10.1210/jendso/bvab048.665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Sex-related differences in thermoregulatory responses to cold exposure, such as differences in metabolic heat production and fuel selection, are often attributed to differences in morphology and body composition. Whether these differences persist in response to cold when comparing lean, healthy men and women with equivalent total body mass (BM, heat producing capacity) and body surface areas (BSA, heat loss capacity) remains unknown. In this study, we aimed to compare thermoregulatory and metabolic responses to cold exposure in both men and women, before and after matching for BM (± 0.6 kg) and BSA (± 0.01 m2). Data included in this study were derived from four previously published studies and an additional 13 men and 23 women who recently completed an identical 3h mild cold exposure protocol. Included in the analyses were 45 healthy men and 23 healthy women [27 years (95% CI: 25 to 28) in men vs. 34 years (95% CI: 30 to 38) in women, P = 0.0003], including 7 men and women of the same age [28 years (95% CI: 22 to 34) vs. 29 years (95% CI: 22 to 37), P = 0.78] matched for BM and BSA. Using a combination of indirect calorimetry, electromyography and positron emission tomography with 11C-acetate and 18F-fluorodeoxyglucose, we quantified mean skin temperature, whole-body energy expenditure (EE), shivering intensity, brown adipose tissue (BAT) oxidative metabolism and glucose uptake. The cold-induced decrease in mean skin temperature was greater in women than men [-6.4°C (95% CI: -6.7 to -6.0) vs. -5.4°C (95% CI: -5.8 to -5.1), P = 0.0004], whereas EE was higher in men compared to women both during room temperature and cold exposure, with the cold-induced increase in EE being slightly greater in men than women [3.8 kJ·min-1 (95% CI: 3.2 to 4.5) vs. 2.8 kJ·min-1 (95% CI: 2.0 to 3.7), P = 0.07]. In contrast, shivering intensity (%MVC) was higher in women compared to men [3.0 %MVC (95% CI: 2.1 to 3.8) vs.1.8 %MVC (95% CI: 1.5 to 2.2), P = 0.0069]. Cold exposure also increased BAT oxidative index to a similar magnitude in men and women, increasing ~4-fold in men and ~3-fold in women (effect of sex, P = 0.2067). Both fractional glucose uptake [0.022 min-1 (95%CI: 0.017 to 0.027) in men and 0.021 min-1 (95%CI: 0.013 to 0.030) in women, P = 0.02] and net glucose uptake in BAT [92 nmol.g-1.min-1 (95%CI: 69 to 115) in men and 91 nmol.g-1.min-1 (95%CI: 53 to 129) in women] were not different between the sexes without or with matching for BM and BSA. The sex differences in mean skin temperature, energy expenditure and shivering intensity were all lost once participants were matched for BM and BSA. The present results suggest that much of the sexual dimorphism in thermoregulatory and metabolic responses to mild cold exposure can be explained by differences in BM and BSA.
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Affiliation(s)
| | | | | | | | - Yubin Miao
- University of Colorado School of Medicine, Aurora, CO, USA
| | - Wendy M Kohrt
- University of Colorado School of Medicine, Aurora, CO, USA
| | - Andre Carpentier
- Center Hospital University de Sherbrooke, Sherbrooke, QC, Canada
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Siebert JC, Stanislawski MA, Zaman A, Ostendorf DM, Konigsberg IR, Jambal P, Ir D, Bing K, Wayland L, Scorsone JJ, Lozupone CA, Görg C, Frank DN, Bessesen D, MacLean PS, Melanson EL, Catenacci VA, Borengasser SJ. Multiomic Predictors of Short-Term Weight Loss and Clinical Outcomes During a Behavioral-Based Weight Loss Intervention. Obesity (Silver Spring) 2021; 29:859-869. [PMID: 33811477 PMCID: PMC8085074 DOI: 10.1002/oby.23127] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 12/15/2020] [Accepted: 01/08/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Identifying predictors of weight loss and clinical outcomes may increase understanding of individual variability in weight loss response. We hypothesized that baseline multiomic features, including DNA methylation (DNAme), metabolomics, and gut microbiome, would be predictive of short-term changes in body weight and other clinical outcomes within a comprehensive weight loss intervention. METHODS Healthy adults with overweight or obesity (n = 62, age 18-55 years, BMI 27-45 kg/m2 , 75.8% female) participated in a 1-year behavioral weight loss intervention. To identify baseline omic predictors of changes in clinical outcomes at 3 and 6 months, whole-blood DNAme, plasma metabolites, and gut microbial genera were analyzed. RESULTS A network of multiomic relationships informed predictive models for 10 clinical outcomes (body weight, waist circumference, fat mass, hemoglobin A1c , homeostatic model assessment of insulin resistance, total cholesterol, triglycerides, C-reactive protein, leptin, and ghrelin) that changed significantly (P < 0.05). For eight of these, adjusted R2 ranged from 0.34 to 0.78. Our models identified specific DNAme sites, gut microbes, and metabolites that were predictive of variability in weight loss, waist circumference, and circulating triglycerides and that are biologically relevant to obesity and metabolic pathways. CONCLUSIONS These data support the feasibility of using baseline multiomic features to provide insight for precision nutrition-based weight loss interventions.
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Affiliation(s)
- Janet C. Siebert
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Adnin Zaman
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Danielle M. Ostendorf
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Iain R. Konigsberg
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Purevsuren Jambal
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Diana Ir
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristen Bing
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Liza Wayland
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jared J. Scorsone
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Catherine A. Lozupone
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Carsten Görg
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
| | - Daniel N. Frank
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Daniel Bessesen
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Paul S. MacLean
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward L. Melanson
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
| | - Victoria A. Catenacci
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sarah J. Borengasser
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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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: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Melanson EL, Chen KY. Response to "Two Functional Calorimetric Chambers in France Complete the Room Indirect Calorimetry Operating and Reporting Guidelines (RICORS) 1.0 Guide List". Obesity (Silver Spring) 2021; 29:632-633. [PMID: 33759387 DOI: 10.1002/oby.23135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 01/27/2021] [Indexed: 11/05/2022]
Affiliation(s)
- Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kong Y Chen
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Disease, Bethesda, Maryland, USA
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Foright R, Halliday TM, Melanson EL, Hild A, Legget KT, Tregellas JR, Cornier MA. Effects of Exercise during Weight Loss Maintenance on Appetite Regulation in Women. Transl J Am Coll Sports Med 2021; 5. [PMID: 33748418 DOI: 10.1249/tjx.0000000000000133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Exercise is accepted as a method to improve weight loss maintenance; however, the mechanisms by which this occurs have yet to be elucidated. In this pilot study, 13 women with obesity underwent a structured weight loss program (goal 8%-10% weight loss) and were then randomized to either a 12-wk diet (n = 7) or an aerobic exercise training (n = 6) intervention aimed at maintaining weight loss. At baseline, post-weight loss, and following the weight loss maintenance interventions, measurements of appetite (hunger and satiety) and appetite-regulating hormones (leptin, ghrelin, peptide tyrosine tyrosine, and glucagon-like peptide 1) were obtained after an overnight fast and for 3 h after a standardized test meal. Ad libitum energy intake was measured at a lunch meal. During the weight loss phase, participants lost 9.1% ± 1.1% of baseline body weight. Participants in both groups maintained weight loss during the 12-wk weight loss maintenance intervention. No differences in fasting leptin (P = 0.68) or in ghrelin (P = 0.30), peptide tyrosine tyrosine (P = 0.93), and glucagon-like peptide 1 (P = 0.98) area under the curve were detected between groups. Similarly, ratings of hunger (P = 0.99) and satiety (P = 0.65) area under the curve after the standardized test meal also did not differ between the groups nor did ad libitum energy intake at lunch. In summary, the 12-wk diet and exercise interventions were equally effective at maintaining weight loss in women, and no differences in measures of appetite regulation and food intake were found.
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Affiliation(s)
- Rebecca Foright
- Division of Endocrinology, Department of Medicine, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Tanya M Halliday
- Division of Endocrinology, Department of Medicine, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO.,Department of Health, Kinesiology, and Recreation, University of Utah, Salt Lake City, UT
| | - Edward L Melanson
- Division of Endocrinology, Department of Medicine, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO.,Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.,Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO
| | - Allison Hild
- Anschutz Center for Health and Wellness, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Kristina T Legget
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO.,Research Service, Rocky Mountain Reginal Veterans Affairs Medical Center, Aurora, CO
| | - Jason R Tregellas
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO.,Research Service, Rocky Mountain Reginal Veterans Affairs Medical Center, Aurora, CO
| | - Marc-Andre Cornier
- Division of Endocrinology, Department of Medicine, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO.,Anschutz Center for Health and Wellness, University of Colorado Anschutz Medical Campus, Aurora, CO
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Dahle JH, Ostendorf DM, Zaman A, Pan Z, Melanson EL, Catenacci VA. Underreporting of energy intake in weight loss maintainers. Am J Clin Nutr 2021; 114:257-266. [PMID: 33742193 PMCID: PMC8246606 DOI: 10.1093/ajcn/nqab012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 01/08/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Individuals with overweight or obesity commonly underreport energy intake (EI), but it is unknown if the tendency to underreport persists in formerly obese individuals who lose significant weight and maintain their weight loss over long periods of time. OBJECTIVE Assess the accuracy of self-reported EI in successful weight loss maintainers (WLM) compared with controls of normal body weight (NC) and controls with overweight/obesity (OC). METHODS Participants for this case-controlled study were recruited in 3 groups: WLM [n = 26, BMI (in kg/m2) 24.1 ± 2.3; maintaining ≥13.6 kg weight loss for ≥1 y], NC (n = 33, BMI 22.7 ± 1.9; similar to current BMI of WLM), and OC (n = 32, BMI 34.0 ± 4.6; similar to pre-weight loss BMI of WLM). Total daily energy expenditure (TDEE) was measured over 7 d using the doubly labeled water (DLW) method, and self-reported EI was concurrently measured from 3-d diet diaries. DLW TDEE and self-reported EI were compared to determine accuracy of self-reported EI. RESULTS WLM underreported EI (median, interquartile range) (-605, -915 to -314 kcal/d) to a greater degree than NC (-308, -471 to -68 kcal/d; P < 0.01) but not more than OC (-310, -970 to 18 kcal/d; P = 0.21). WLM also showed a greater degree of relative underreporting (-25.3%, -32.9% to -12.5%) compared with NC (-14.3%, -19.6% to -3.1%; P = 0.02) but not OC (-11.2%, -34.1% to -0.7%; P = 0.16). A greater proportion of WLM was classified as underreporters (30.8%) than NC (9.1%; P = 0.05) but not OC (28.1%; P = 1.00). CONCLUSIONS WLM underreported EI in both absolute and relative terms to a greater extent than NC but not OC. These findings call into question the accuracy of self-reported EI in WLM published in previous studies and align with recent data suggesting that WLM rely less on chronic EI restriction and more on high levels of physical activity to maintain weight loss. This trial was registered at clinicaltrials.gov as NCT03422380.
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Affiliation(s)
| | - Danielle M Ostendorf
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adnin Zaman
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Zhaoxing Pan
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward L Melanson
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Victoria A Catenacci
- Department of Medicine, Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Speakman JR, Yamada Y, Sagayama H, Berman ESF, Ainslie PN, Andersen LF, Anderson LJ, Arab L, Baddou I, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Buchowski MS, Butte NF, Camps SGJA, Close GL, Cooper JA, Creasy SA, Das SK, Cooper R, Dugas LR, Ebbeling CB, 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, Ludwig DS, 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, 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, Melanson EL, Luke AH, Pontzer H, Rood J, Schoeller DA, Westerterp KR, Wong WW. A standard calculation methodology for human doubly labeled water studies. Cell Rep Med 2021; 2:100203. [PMID: 33665639 PMCID: PMC7897799 DOI: 10.1016/j.xcrm.2021.100203] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/16/2020] [Accepted: 01/20/2021] [Indexed: 11/25/2022]
Abstract
The doubly labeled water (DLW) method measures total energy expenditure (TEE) in free-living subjects. Several equations are used to convert isotopic data into TEE. Using the International Atomic Energy Agency (IAEA) DLW database (5,756 measurements of adults and children), we show considerable variability is introduced by different equations. The estimated rCO2 is sensitive to the dilution space ratio (DSR) of the two isotopes. Based on performance in validation studies, we propose a new equation based on a new estimate of the mean DSR. The DSR is lower at low body masses (<10 kg). Using data for 1,021 babies and infants, we show that the DSR varies non-linearly with body mass between 0 and 10 kg. Using this relationship to predict DSR from weight provides an equation for rCO2 over this size range that agrees well with indirect calorimetry (average difference 0.64%; SD = 12.2%). We propose adoption of these equations in future studies.
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Affiliation(s)
- 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.,CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China
| | - 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
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan
| | | | - 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
| | - Liam J Anderson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.,Crewe Alexandra Football Club, Crewe, UK
| | - Lenore Arab
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Issaad Baddou
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN- Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Rabat, Morocco
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Stephane Blanc
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA.,Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, UMR7178, Strasbourg, France
| | | | - Carlijn V C Bouten
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Pascal Bovet
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - 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 Wisconsin, Madison, WI, USA
| | - Seth A Creasy
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschulz Medical Campus, Aurora, CO, USA
| | - Sai Krupa Das
- Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA, 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
| | | | - 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, Rabat, 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
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | | | | | - Estelle V Lambert
- Research Unit for Exercise Science and Sports Medicine, 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, 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
| | | | | | - 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
- Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA, USA
| | - David A Raichlen
- Biological Sciences and Anthropology, University of Southern California, Los Angeles, CA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Susan B Roberts
- Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Avenue, Boston, MA, USA
| | | | - Anders M Sjödin
- Department of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark
| | | | | | | | | | - Edgar A Van Mil
- Maastricht and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital's-Hertogenbosch, Maastricht University, 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, CA, USA.,Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Jack Yanovski
- Growth and Obesity, Division of Intramural Research, NIH, Bethesda, MD, USA
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Xueying Zhang
- 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
| | - 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
| | - Edward L Melanson
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschulz Medical Campus, Aurora, CO, USA.,Eastern Colorado VA Geriatric Research, Education and Clinical Center, Aurora, CO, USA.,Division of Geriatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Amy H Luke
- Division of Epidemiology, Department of Public Health Sciences, Loyola University School of Medicine, Maywood, IL, USA
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA.,Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Dale A Schoeller
- Biotech Center and Nutritional Sciences, University of Wisconsin, Madison, WI, USA
| | - Klaas R Westerterp
- School of Nutrition and Translational Research in Metabolism, University of Maastricht, Maastricht, the Netherlands
| | - William W Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
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Tang M, Matz KL, Berman LM, Davis KN, Melanson EL, Frank DN, Hendricks AE, Krebs NF. Effects of Complementary Feeding With Different Protein-Rich Foods on Infant Growth and Gut Health: Study Protocol. Front Pediatr 2021; 9:793215. [PMID: 35096709 PMCID: PMC8793676 DOI: 10.3389/fped.2021.793215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/06/2021] [Indexed: 11/21/2022] Open
Abstract
Background: An urgent need exists for evidence-based dietary guidance early in life, particularly regarding protein intake. However, a significant knowledge gap exists in the effects of protein-rich foods on growth and development during early complementary feeding. Methods: This is a randomized controlled trial of infant growth and gut health (primary outcomes). We directly compare the effects of dietary patterns with common protein-rich foods (meat, dairy, plant) on infant growth trajectories and gut microbiota development (monthly assessments) during early complementary feeding in both breast- and formula-fed infants. Five-month-old infants (up to n = 300) are randomized to a meat-, dairy-, plant-based complementary diet or a reference group (standard of care) from 5 to 12 months of age, with a 24-month follow-up assessment. Infants are matched for sex, mode of delivery and mode of feeding using stratified randomization. Growth assessments include length, weight, head circumference and body composition. Gut microbiota assessments include both 16S rRNA profiling and metagenomics sequencing. The primary analyses will evaluate the longitudinal effects of the different diets on both anthropometric measures and gut microbiota. The secondary analysis will evaluate the potential associations between gut microbiota and infant growth. Discussion: Findings are expected to have significant scientific and health implications for identifying beneficial gut microbial changes and dietary patterns and for informing dietary interventions to prevent the risk of overweight and later obesity, and promote optimal health. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT05012930.
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Affiliation(s)
- Minghua Tang
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kinzie L Matz
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Lillian M Berman
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kathryn N Davis
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Edward L Melanson
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Daniel N Frank
- Division of Infectious Disease, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Audrey E Hendricks
- Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, United States
| | - Nancy F Krebs
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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Miller MJ, Blankenship JM, Kline PW, Melanson EL, Christiansen CL. Patterns of Sitting, Standing, and Stepping After Lower Limb Amputation. Phys Ther 2020; 101:6039323. [PMID: 33336706 PMCID: PMC7921296 DOI: 10.1093/ptj/pzaa212] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/10/2020] [Accepted: 10/29/2020] [Indexed: 12/23/2022]
Abstract
OBJECTIVE The objectives of this study were to describe sitting, standing, and stepping patterns for people with lower limb amputation (LLA) and to compare sitting, standing, and stepping between people with dysvascular LLA and people with traumatic LLA. METHODS Participants with dysvascular or traumatic LLA were included if their most recent LLA was at least 1 year earlier, they were ambulating independently with a prosthesis, and they were between 45 and 88 years old. Sitting, standing, and stepping were measured using accelerometry. Daily sitting, standing, and stepping times were expressed as percentages of waking time. Time spent in bouts of specified durations of sitting (<30, 30-60, 60-90, and >90 minutes), standing (0-1, 1-5, and >5 minutes), and stepping (0-1, 1-5, and >5 minutes) was also calculated. RESULTS Participants (N = 32; mean age = 62.6 [SD = 7.8] years; 84% men; 53% with dysvascular LLA) spent most of the day sitting (median = 77% [quartile 1 {Q1}-quartile 3 {Q3} = 67%-84%]), followed by standing (median = 16% [Q1-Q3 = 12%-27%]) and stepping (median = 6% [Q1-Q3 = 4%-9%]). One-quarter (median = 25% [Q1-Q3 = 16%-38%]) of sitting was accumulated in bouts of >90 minutes, and most standing and stepping was accrued in bouts of <1 minute (standing: median = 42% [Q1-Q3 = 34%-54%]; stepping: median = 98% [Q1-Q3 = 95%-99%]). Between-etiology differences included proportion of time sitting (traumatic: median = 70% [Q1-Q3 = 59%-78%]; dysvascular: median = 79% [Q1-Q3 = 73%-86%]) and standing (traumatic: median = 23% [Q1-Q3 = 16%-32%]; dysvascular: median = 15% [Q1-Q3 = 11%-20%]). CONCLUSION Participants had high daily volumes of long durations of sitting. Further, these individuals accumulated most physical activity in bouts of <1 minute. IMPACT High levels of sedentary behavior and physical inactivity patterns may place people with LLA at greater mortality risk relative to the general population. Interventions to minimize sedentary behaviors and increase physical activity are potential strategies for improving poor outcomes of physical therapy after LLA.
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Affiliation(s)
| | - Jennifer M Blankenship
- Division of Endocrinology, Metabolism, and Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Paul W Kline
- Physical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA,VA Eastern Colorado Geriatric Research, Education, and Clinical Center, Aurora, Colorado, USA
| | - Edward L Melanson
- VA Eastern Colorado Geriatric Research, Education, and Clinical Center, Aurora, Colorado, USA,Division of Geriatric Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Cory L Christiansen
- Physical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA,VA Eastern Colorado Geriatric Research, Education, and Clinical Center, Aurora, Colorado, USA
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Gavin KM, Melanson EL, Hildreth KL, Gibbons E, Bessesen DH, Kohrt WM. A Randomized Controlled Trial of Ovarian Suppression in Premenopausal Women: No Change in Free-Living Energy Expenditure. Obesity (Silver Spring) 2020; 28:2125-2133. [PMID: 33150745 PMCID: PMC7653843 DOI: 10.1002/oby.22978] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/01/2020] [Accepted: 07/15/2020] [Indexed: 01/12/2023]
Abstract
OBJECTIVE The purpose of this study was to determine whether suppression of ovarian function (gonadotropin-releasing hormone agonist [GnRHAG ]) for 24 weeks in premenopausal women approaching menopause causes changes in body composition and a decline in free-living physical activity energy expenditure (PAEE) and whether endurance exercise training attenuates the changes. METHODS Premenopausal women who were approaching menopause (mean [SD]: age 46 [3] years, BMI 26.3 [4.8] kg/m2 ) were randomized to 24 weeks of GnRHAG (n = 14), GnRHAG + Exercise (n = 11), or placebo (n = 9). Endurance exercise was performed 4 days per week with the goal of expending 200 to 300 kcal per session. Primary outcome measurements included body composition by dual-energy x-ray absorptiometry, total daily energy expenditure (TDEE), and PAEE by doubly labeled water, and resting energy expenditure (REE) by indirect calorimetry. RESULTS Changes in TDEE, PAEE, REE, or body composition were not different between groups. However, within the GnRHAG group, fat mass increased (mean [SE]: total 1.7 [0.4] kg, trunk 0.9 [0.2] kg, leg 0.6 [0.2] kg) and fat-free leg mass decreased (mean [SE]: -0.4 [0.2] kg) significantly. CONCLUSIONS In premenopausal women approaching menopause, ovarian hormone suppression resulted in increased adiposity without alterations in TDEE, PAEE, or REE.
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Affiliation(s)
- Kathleen M Gavin
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Geriatric, Research, Education, and Clinical Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Edward L Melanson
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Geriatric, Research, Education, and Clinical Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kerry L Hildreth
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Ellie Gibbons
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Daniel H Bessesen
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Anschutz Health and Wellness Center, Aurora, Colorado, USA
| | - Wendy M Kohrt
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Eastern Colorado VA Geriatric, Research, Education, and Clinical Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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Chen KY, Smith S, Ravussin E, Krakoff J, Plasqui G, Tanaka S, Murgatroyd P, Brychta R, Bock C, Carnero E, Schoffelen P, Hatamoto Y, Rynders C, Melanson EL. Room Indirect Calorimetry Operating and Reporting Standards (RICORS 1.0): A Guide to Conducting and Reporting Human Whole-Room Calorimeter Studies. Obesity (Silver Spring) 2020; 28:1613-1625. [PMID: 32841524 PMCID: PMC7526647 DOI: 10.1002/oby.22928] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/27/2020] [Accepted: 05/28/2020] [Indexed: 12/16/2022]
Abstract
Whole-room indirect calorimeters have been used to study human metabolism for more than a century. These studies have contributed substantial knowledge to the assessment of nutritional needs and the regulation of energy expenditure and substrate oxidation in humans. However, comparing results from studies conducted at different sites is challenging because of a lack of consistency in reporting technical performance, study design, and results. In May 2019, an expert panel was convened to consider minimal requirements for conducting and reporting the results of human whole-room indirect calorimeter studies. We propose Room Indirect Calorimetry Operating and Reporting Standards, version 1.0 (RICORS 1.0) to provide guidance to ensure consistency and facilitate meaningful comparisons of human energy metabolism studies across publications, laboratories, and clinical sites.
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Affiliation(s)
- Kong Y. Chen
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda MD USA
| | - Steve Smith
- Translational Research Institute for Diabetes and Metabolism, Florida Hospital, Orlando, FL USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA USA
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, Phoenix, AZ USA
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +Maastricht, The Netherlands
| | - Shigeho Tanaka
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Peter Murgatroyd
- NIHR Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust; Addenbrooke’s Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Robert Brychta
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda MD USA
| | - Christopher Bock
- Translational Research Institute for Diabetes and Metabolism, Florida Hospital, Orlando, FL USA
| | - Elvis Carnero
- Translational Research Institute for Diabetes and Metabolism, Florida Hospital, Orlando, FL USA
| | - Paul Schoffelen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +Maastricht, The Netherlands
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +Maastricht, The Netherlands
| | - Yoichi Hatamoto
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Corey Rynders
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward L. Melanson
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO, USA
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Melanson EL, Chen KY. Letter to the Editor from Melanson et al (second letter): "Twice as High Diet-Induced Thermogenesis After Breakfast vs Dinner on High-Calorie as Well as Low-Calorie Meals". J Clin Endocrinol Metab 2020; 105:5850547. [PMID: 32485743 PMCID: PMC7528634 DOI: 10.1210/clinem/dgaa350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 05/29/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado
- Correspondence and Reprint Requests: Edward L. Melanson, Ph.D., Division of Endocrinology, Metabolism, and Diabetes/Division of Geriatric Medicine, 12801 East 17th Ave, RC1 South RM 7103, MS 8106, Aurora, CO 80045,
| | - Kong Y Chen
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda Maryland
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Depner CM, Cogswell DT, Bisesi PJ, Markwald RR, Cruickshank-Quinn C, Quinn K, Melanson EL, Reisdorph N, Wright KP. Developing preliminary blood metabolomics-based biomarkers of insufficient sleep in humans. Sleep 2020; 43:zsz321. [PMID: 31894238 PMCID: PMC7355401 DOI: 10.1093/sleep/zsz321] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 12/27/2019] [Indexed: 01/20/2023] Open
Abstract
STUDY OBJECTIVE Identify small molecule biomarkers of insufficient sleep using untargeted plasma metabolomics in humans undergoing experimental insufficient sleep. METHODS We conducted a crossover laboratory study where 16 normal-weight participants (eight men; age 22 ± 5 years; body mass index < 25 kg/m2) completed three baseline days (9 hours sleep opportunity per night) followed by 5-day insufficient (5 hours sleep opportunity per night) and adequate (9 hours sleep opportunity per night) sleep conditions. Energy balanced diets were provided during baseline, with ad libitum energy intake provided during the insufficient and adequate sleep conditions. Untargeted plasma metabolomics analyses were performed using blood samples collected every 4 hours across the final 24 hours of each condition. Biomarker models were developed using logistic regression and linear support vector machine (SVM) algorithms. RESULTS The top-performing biomarker model was developed by linear SVM modeling, consisted of 65 compounds, and discriminated insufficient versus adequate sleep with 74% overall accuracy and a Matthew's Correlation Coefficient of 0.39. The compounds in the top-performing biomarker model were associated with ATP Binding Cassette Transporters in Lipid Homeostasis, Phospholipid Metabolic Process, Plasma Lipoprotein Remodeling, and sphingolipid metabolism. CONCLUSION We identified potential metabolomics-based biomarkers of insufficient sleep in humans. Although our current biomarkers require further development and validation using independent cohorts, they have potential to advance our understanding of the negative consequences of insufficient sleep, improve diagnosis of poor sleep health, and could eventually help identify targets for countermeasures designed to mitigate the negative health consequences of insufficient sleep.
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Affiliation(s)
- Christopher M Depner
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
| | - Dasha T Cogswell
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
| | - Paul J Bisesi
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
| | - Rachel R Markwald
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
| | | | - Kevin Quinn
- Skaggs School of Pharmacology, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
- Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO
| | - Nichole Reisdorph
- Skaggs School of Pharmacology, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
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Ostendorf DM, Lyden K, Lande J, Bing K, Wayland L, Melanson EL, Catenacci VA. The Prevalence Of Meeting 2008 Versus 2018 Physical Activity Guidelines In Adults With Overweight/obesity. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000680156.80921.04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Tobin SY, Cornier MA, White MH, Hild AK, Miller JR, Melanson EL, Halliday TM. Effects Of Acute Exercise On Appetite Regulation And Energy Intake In Men And Women. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000687372.24781.ae] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Halliday TM, White MH, Hild AK, Miller JR, Melanson EL, Cornier MA. Decreased Ghrelin And Increased PYY And GLP-1 Following Acute Aerobic Vs Resistance Exercise. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000677504.07271.5d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Blankenship JM, Shanbhag P, Winslow J, Meek P, Blatchford P, Melanson EL, Boxer R. Changing Physical Activity In Older Adults With Heart Failure By Increasing Exercise Or Reducing Sitting. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000683200.57919.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Melanson EL, Chen KY. Letter to the Editor: "Twice as High Diet-Induced Thermogenesis After Breakfast vs Dinner on High-Calorie as Well as Low-Calorie Meals". J Clin Endocrinol Metab 2020; 105:5821101. [PMID: 32300812 PMCID: PMC7448296 DOI: 10.1210/clinem/dgaa208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 04/15/2020] [Indexed: 12/22/2022]
Affiliation(s)
- Edward L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Division of Geriatric Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Colorado
- Correspondence and Reprint Requests: Edward L. Melanson, PhD, Division of Endocrinology, Metabolism, and Diabetes/Division of Geriatric Medicine 12801 East 17th Avenue, RC1 South RM 7103, MS 8106, Aurora, CO 80045. E-mail:
| | - Kong Y Chen
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
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Creasy SA, Blankenship JM, Panter SL, Catenacci VA, Wright KP, Reusch JE, Hildreth KL, Melanson EL. Effects Of Moderate Versus Vigorous Intensity Exercise Training In Older Adults With Prediabetes. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000684568.29133.8f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Purcell SA, Legget KT, Halliday TM, Creasy SA, Blankenship JM, Hild A, Tregellas JR, Melanson EL, Cornier MA. Non-exercise Activity During Dietary Restriction Or Aerobic Exercise Interventions In Individuals With Overweight Or Obesity. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000677492.41596.56] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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