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Renwick JRM, Preobrazenski N, Wu Z, Khansari A, LeBouedec MA, Nuttall JMG, Bancroft KR, Simpson-Stairs N, Swinton PA, Gurd BJ. Standard Deviation of Individual Response for VO 2max Following Exercise Interventions: A Systematic Review and Meta-analysis. Sports Med 2024; 54:3069-3080. [PMID: 39160296 DOI: 10.1007/s40279-024-02089-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 08/21/2024]
Abstract
BACKGROUND Although numerous attempts to demonstrate inter-individual differences in trainability across various outcomes have been unsuccessful, the investigation of maximal oxygen consumption (VO2max) trainability warrants further study. OBJECTIVE Our objective was to conduct the first systematic review and meta-analysis to evaluate inter-individual differences in VO2max trainability across aerobic exercise training protocols utilizing non-exercising comparator groups. METHODS We conducted a literature search across three databases: EMBASE, PubMed and SCOPUS. The search strategy incorporated two main concepts: aerobic exercise training and VO2max. Studies were included if they used human participants, employed standardized and supervised exercise training, reported absolute or relative VO2max, included a non-exercise comparator group, reported VO2max change scores for non-exercise and exercise groups and provided the standard deviation (SD) of change for all groups. We calculated the SD of individual response (SDIR) to estimate the presence of inter-individual differences in trainability across all studies. RESULTS The literature search generated 32,968 studies, 24 of which were included in the final analysis. Our findings indicated that (1) the majority of variation in observed change scores following an intervention is due to measurement error, (2) calculating SDIR within a single study would not yield sufficient accuracy of SDIR due to generally small sample sizes and (3) meta-analysis of SD IR 2 across studies does not provide strong evidence for a positive value. CONCLUSION Overall, our meta-analysis demonstrated that there is not strong evidence supporting the existence of VO2max trainability across single interventions. As such, it appears unlikely that clinically relevant predictors of VO2max response will be discovered. Registration can be found online ( https://doi.org/10.17605/OSF.IO/X9VU3 ).
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Affiliation(s)
- John R M Renwick
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Nicholas Preobrazenski
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
| | - Zeyu Wu
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Ava Khansari
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Matisse A LeBouedec
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Jared M G Nuttall
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Kyra R Bancroft
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Nia Simpson-Stairs
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Paul A Swinton
- School of Health Sciences, Robert Gordon University, Aberdeen, AB10 7QE, UK
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, K7L 3N6, Canada.
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Alsaeid M, Sung S, Bai W, Tam M, Wong YJ, Cortes J, Cobo E, Gonzalez JA, Abraldes JG. Heterogeneity of treatment response to beta-blockers in the treatment of portal hypertension: A systematic review. Hepatol Commun 2024; 8:e0321. [PMID: 38285880 PMCID: PMC10830085 DOI: 10.1097/hc9.0000000000000321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 09/28/2023] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND It has been suggested that a relevant proportion of patients do not respond to nonselective beta-blockers (NSBB)s, which raises questions regarding the need for individualized therapy. The existence of potential heterogeneity in the treatment response can be assessed using the variability ratio (VR) of the outcome measurement (in this case, HVPG) between the treated and placebo groups. We conducted a systematic review and meta-analysis of randomized controlled trials to assess the potential heterogeneity in the portal pressure response to NSBBs. METHODS After a systematic search, we quantified the heterogeneity of treatment response with the VR between the treatment and control groups, with VR > 1 indicating potential heterogeneity. We used a similar approach to compare carvedilol with propranolol and statins with placebo. RESULTS We identified 18 studies that included 965 patients. A comparison between beta-blockers and placebo showed a pooled VR of 0.99 (95% CI:0.87-1.14), which suggests a homogeneous HVPG response to NSBB at the individual patient level (ie, no evidence to support that some patients responded to beta-blockers and others did not). For the comparison between carvedilol and propranolol, pooled VR was 0.97 (95% CI 0.82-1.14), suggesting that carvedilol achieves a greater average response (rather than an increase in the proportion of responders). There was no evidence of a heterogeneous response to statins. CONCLUSION Our analysis did not support the existence of a heterogeneous patient-by-patient response to NSBBs in cirrhosis. These findings challenge the concept of personalized therapy based on portal pressure response and indicate that routine portal pressure measurement may not be necessary to guide NSBB therapy.
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Affiliation(s)
- Mohammad Alsaeid
- Liver Unit, Division of Gastroenterology, University of Alberta, Alberta, Canada
| | - Shuen Sung
- Liver Unit, Division of Gastroenterology, University of Alberta, Alberta, Canada
| | - Wayne Bai
- Waikato District Health Board, University of Auckland, Auckland, New Zealand
| | - Matthew Tam
- Liver Unit, Division of Gastroenterology, University of Alberta, Alberta, Canada
| | - Yu Jun Wong
- Liver Unit, Division of Gastroenterology, University of Alberta, Alberta, Canada
| | - Jordi Cortes
- Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Barcelona-Tech (UPC), Barcelona-Tech, Spain
| | - Erik Cobo
- Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Barcelona-Tech (UPC), Barcelona-Tech, Spain
| | - Jose Antonio Gonzalez
- Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Barcelona-Tech (UPC), Barcelona-Tech, Spain
| | - Juan G Abraldes
- Liver Unit, Division of Gastroenterology, University of Alberta, Alberta, Canada
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Kelley GA, Kelley KS, Stauffer BL. Resistance training and inter-interindividual response differences on cardiorespiratory fitness in older adults: An ancillary meta-analysis of randomized controlled trials. Sci Prog 2024; 107:368504241227088. [PMID: 38312013 PMCID: PMC10846148 DOI: 10.1177/00368504241227088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Examine true inter-individual response differences (IIRD) as a result of resistance training on cardiorespiratory fitness in older adults. Data from a recent meta-analysis of 22 randomized controlled trials representing 552 men and women (292 resistance training, 260 control) ≥ 60 years of age were included. The primary outcome was cardiorespiratory fitness (VO2max) in ml.kg-1.min-1. Using the inverse variance heterogeneity (IVhet) model, statistically significant treatment effect (resistance training minus control) increases in VO2max in ml.kg-1.min-1 were found (mean, 1.8, 95% CI, 0.4 to 3.3 ml.kg-1.min-1, p = 0.01; Q = 82.8, p < 0.001; I2 = 74.6%, 95% CI, 61.6 to 83.3%; τ 2 =1.1). The 95% prediction interval (PI) was -0.8 to 4.5 ml.kg-1.min-1. However, no statistically significant IIRD was observed (mean, 0.6, 95% CI, -1.1 to 1.4 ml.kg-1.min-1; τ 2 =1.5). The 95% PI was -1.8 to 2.0 ml.kg-1.min-1. In conclusion, while progressive resistance training may increase VO2max in ml.kg-1.min-1, a lack of true resistance-training-associated IIRD exist.
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Affiliation(s)
- George A. Kelley
- School of Public Health, Department of Epidemiology and Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
- School of Public and Population Health, Boise State University, Boise, ID, USA
| | - Kristi S. Kelley
- School of Public Health, Department of Epidemiology and Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
- School of Public and Population Health, Boise State University, Boise, ID, USA
| | - Brian L. Stauffer
- Division of Cardiology, Denver Health Medical Center, Denver, CO, USA
- Department of Medicine, Division of Cardiology, University of Colorado at Denver, Aurora, CO, USA
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Boyne P, Miller A, Kubalak O, Mink C, Reisman DS, Fulk G. Moderate to Vigorous Intensity Locomotor Training After Stroke: A Systematic Review and Meta-analysis of Mean Effects and Response Variability. J Neurol Phys Ther 2024; 48:15-26. [PMID: 37678805 PMCID: PMC10843766 DOI: 10.1097/npt.0000000000000456] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
BACKGROUND AND PURPOSE This meta-analysis quantified mean effects of moderate to vigorous intensity locomotor training (LT mv ) on walking outcomes in subacute and chronic stroke, and the magnitude of variability in LT mv response. METHODS Databases were searched for randomized trials comparing LT mv with no intervention, nongait intervention, or low-intensity gait training. Comfortable gait speed (CGS), fastest gait speed (FGS), 6-minute walk test (6MWT), walking activity (steps per day), and adverse effect/event (AE) data were extracted. Pooled estimates were calculated for mean changes, AE relative risks, and the standard deviation of response (SD response ) to LT mv versus control groups, stratified by study chronicity where possible. RESULTS There were 19 eligible studies (total N = 1096): 14 in chronic stroke (N = 839) and 5 in subacute stroke (N = 257). Compared with control interventions, LT mv yielded significantly greater increases in CGS (chronic, +0.06 m/s [95% confidence interval (CI), 0.01-0.10]; subacute, +0.16 [0.12-0.19]; subacute vs chronic, P = 0.03), FGS (chronic, +0.07 m/s [0.02-0.13]; subacute, +0.21 [0.01, 0.41]; P = 0.04), and 6MWT (chronic, +33 m [24-42]; subacute, +51 [26-77]; P = 0.054) but not steps/day (+260 [-1159 to 1679]). There were no treatment-related serious AEs among 398 LT mv participants in 14 AE-reporting studies. SD response estimates indicated substantial response variability: CGS, 0.11 m/s [0.00-0.15]; FGS, 0.14 m/s [-0.00 to 0.20]; and 6MWT, 41 m [27-51]. DISCUSSION AND CONCLUSIONS LT mv improves mean walking capacity outcomes in subacute and chronic stroke and does not appear to have high risk of serious harm. Response magnitude varies within and between chronicity subgroups, and few studies have tested effects on daily walking activity or non-serious AEs.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1 available at: http://links.lww.com/JNPT/A452 ).
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Affiliation(s)
- Pierce Boyne
- Department of Rehabilitation, Exercise and Nutrition Sciences, College of Allied Health Sciences, University of Cincinnati, Cincinnati, OH
| | - Allison Miller
- Department of Physical Therapy, College of Health Sciences, University of Delaware, Newark, DE
| | - Owen Kubalak
- Department of Rehabilitation, Exercise and Nutrition Sciences, College of Allied Health Sciences, University of Cincinnati, Cincinnati, OH
| | - Caroline Mink
- Department of Rehabilitation, Exercise and Nutrition Sciences, College of Allied Health Sciences, University of Cincinnati, Cincinnati, OH
| | - Darcy S. Reisman
- Department of Physical Therapy, College of Health Sciences, University of Delaware, Newark, DE
| | - George Fulk
- Department of Rehabilitation Medicine, School of Medicine, Emory University, Atlanta, GA
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Zoh RS, Esteves BH, Yu X, Fairchild AJ, Vazquez AI, Chapple AG, Brown AW, George B, Gordon D, Landsittel D, Gadbury GL, Pavela G, de Los Campos G, Mestre LM, Allison DB. Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research. Obes Rev 2023; 24:e13635. [PMID: 37667550 PMCID: PMC10825777 DOI: 10.1111/obr.13635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 03/29/2023] [Accepted: 07/24/2023] [Indexed: 09/06/2023]
Abstract
It is increasingly assumed that there is no one-size-fits-all approach to dietary recommendations for the management and treatment of chronic diseases such as obesity. This phenomenon that not all individuals respond uniformly to a given treatment has become an area of research interest given the rise of personalized and precision medicine. To conduct, interpret, and disseminate this research rigorously and with scientific accuracy, however, requires an understanding of treatment response heterogeneity. Here, we define treatment response heterogeneity as it relates to clinical trials, provide statistical guidance for measuring treatment response heterogeneity, and highlight study designs that can quantify treatment response heterogeneity in nutrition and obesity research. Our goal is to educate nutrition and obesity researchers in how to correctly identify and consider treatment response heterogeneity when analyzing data and interpreting results, leading to rigorous and accurate advancements in the field of personalized medicine.
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Affiliation(s)
- Roger S Zoh
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | | | - Xiaoxin Yu
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - Amanda J Fairchild
- Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Ana I Vazquez
- Department of Epidemiology and Biostatistics, Michigan State University, Lansing, Michigan, USA
| | - Andrew G Chapple
- Biostatistics Program, School of Public Health, LSU Health Sciences Center, New Orleans, Louisiana, USA
| | - Andrew W Brown
- Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - Brandon George
- College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Derek Gordon
- Department of Genetics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
| | - Douglas Landsittel
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
| | - Gary L Gadbury
- Department of Statistics, Kansas State University, Manhattan, Kansa, USA
| | - Greg Pavela
- Department of Health Behavior, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Gustavo de Los Campos
- Departments of Epidemiology & Biostatistics and Statistics & Probability, IQ - Institute for Quantitative Health Science and Engineering, Michigan State University, Lansing, Michigan, USA
| | - Luis M Mestre
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - David B Allison
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA
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Margaritelis NV. Personalized redox biology: Designs and concepts. Free Radic Biol Med 2023; 208:112-125. [PMID: 37541453 DOI: 10.1016/j.freeradbiomed.2023.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/19/2023] [Accepted: 08/01/2023] [Indexed: 08/06/2023]
Abstract
Personalized interventions are regarded as a next-generation approach in almost all fields of biomedicine, such as clinical medicine, exercise, nutrition and pharmacology. At the same time, an increasing body of evidence indicates that redox processes regulate, at least in part, multiple aspects of human physiology and pathology. As a result, the idea of applying personalized redox treatments to improve their efficacy has gained popularity among researchers in recent years. The aim of the present primer-style review was to highlight some crucial yet underappreciated methodological, statistical, and interpretative concepts within the redox biology literature, while also providing a physiology-oriented perspective on personalized redox biology. The topics addressed are: (i) the critical issue of investigating the potential existence of inter-individual variability; (ii) the importance of distinguishing a genuine and consistent response of a subject from a chance finding; (iii) the challenge of accurately quantifying the effect of a redox treatment when dealing with 'extreme' groups due to mathematical coupling and regression to the mean; and (iv) research designs and analyses that have been implemented in other fields, and can be reframed and exploited in a redox biology context.
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Affiliation(s)
- Nikos V Margaritelis
- Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Agios Ioannis, 62122, Serres, Greece.
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Metcalfe RS, Swinton PA, Mackintosh KA, Berg RMG, Shelley J, Saynor ZL, Hudson J, Duckers J, Lewis K, Davies GA, McNarry MA. Heterogeneous Treatment Effects after Inspiratory Muscle Training during Recovery from Postacute COVID-19 Syndrome. Med Sci Sports Exerc 2023; 55:1761-1769. [PMID: 37170947 DOI: 10.1249/mss.0000000000003207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
PURPOSE The objective of this study is to investigate whether heterogeneous treatment effects occur for changes in inspiratory muscle strength, perceived dyspnea, and health-related quality of life after 8 wk of unsupervised home-based inspiratory muscle training (IMT) in adults with postacute coronavirus disease 2019 (COVID-19) syndrome. METHODS In total, 147 adults with self-reported prior COVID-19 either completed an 8-wk home-based IMT intervention ( n = 111, 92 females, 48 ± 11 yr, 9.3 ± 3.6 months postacute COVID-19 infection) or acted as "usual care" wait list controls ( n = 36, 34 females, 49 ± 12 yr, 9.4 ± 3.2 months postacute COVID-19 infection). RESULTS Applying a Bayesian framework, we found clear evidence of heterogeneity of treatment response for inspiratory muscle strength: the estimated difference between standard deviations (SD) of the IMT and control groups was 22.8 cm H 2 O (75% credible interval (CrI), 4.7-37.7) for changes in maximal inspiratory pressure (MIP) and 86.8 pressure time units (75% CrI, 55.7-116.7) for sustained MIP (SMIP). Conversely, there were minimal differences in the SD between the IMT and the control group for changes in perceived dyspnea and health-related quality of life, providing no evidence of heterogeneous treatment effects. Higher cumulative power during the IMT intervention was related to changes in MIP ( β = 10.9 cm H 2 O (95% CrI, 5.3-16.8) per 1 SD) and SMIP ( β = 63.7 (32.2-95.3) pressure time units per 1 SD), clearly indicating an IMT dose response for changes in inspiratory muscle strength. Older age (>50 yr), a longer time postacute COVID-19 (>3 months), and greater severity of dyspnea at baseline were also associated with smaller improvements in inspiratory muscle strength. CONCLUSIONS Heterogeneous individual responses occurred after an 8-wk home-based IMT program in people with postacute COVID-19 syndrome. Consistent with standard exercise theory, larger improvements in inspiratory muscle strength are strongly related to a greater cumulative dose of IMT.
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Affiliation(s)
- Richard S Metcalfe
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UNITED KINGDOM
| | - Paul A Swinton
- School of Health Sciences, Robert Gordon University, Aberdeen, UNITED KINGDOM
| | - Kelly A Mackintosh
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UNITED KINGDOM
| | | | | | - Zoe L Saynor
- Physical Activity, Health and Rehabilitation Thematic Research Group, School of Sport, Health and Exercise Science, Faculty of Science and Health, University of Portsmouth, Portsmouth, UNITED KINGDOM
| | - Joanne Hudson
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UNITED KINGDOM
| | - Jamie Duckers
- All Wales Adult CF Centre, Cardiff and Vale University Health Board, Cardiff, UNITED KINGDOM
| | | | | | - Melitta A McNarry
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UNITED KINGDOM
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Metcalfe RS, Gurd BJ, Vollaard NBJ. Exploring interindividual differences in fasting and postprandial insulin sensitivity adaptations in response to sprint interval exercise training. Eur J Sport Sci 2023; 23:1950-1960. [PMID: 36093904 DOI: 10.1080/17461391.2022.2124385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Previous studies have concluded that wide variance in changes in insulin sensitivity markers following exercise training demonstrates heterogeneity in individual trainability. However, these studies frequently don't account for technical, biological, and random within-subject measurement error. We used the standard deviation of individual responses (SDIR) to determine whether interindividual variability in trainability exists for fasting and postprandial insulin sensitivity outcomes following low-volume sprint interval training (SIT). We pooled data from 63 untrained participants who completed 6 weeks of SIT (n = 49; VO2max: 35 (7) mL⋅kg-1⋅min-1) or acted as no-intervention controls (n = 14; VO2max: 34 (6) mL⋅kg-1⋅min-1). Fasting and oral glucose tolerance test (OGTT)-derived measures of insulin sensitivity were measured pre- and post-intervention. SDIR values were positive and exceeded a small effect size threshold for changes in fasting glucose (SDIR = 0.27 [95%CI 0.07,0.38] mmol⋅L-1), 2-h OGTT glucose (SDIR = 0.89 [0.22,1.23] mmol⋅L-1), glucose area-under-the-curve (SDIR = 66.4 [-81.5,124.3] mmol⋅L-1⋅120min-1) and The Cederholm Index (SDIR = 7.2 [-16.0,19.0] mg⋅l2⋅mmol-1⋅mU-1⋅min-1), suggesting meaningful individual responses to SIT, whilst SDIR values were negative for fasting insulin, fasting insulin resistance and insulin AUC. For all variables, the 95% CIs were wide and/or crossed zero, highlighting uncertainty about the existence of true interindividual differences in exercise trainability. Only 2-22% of participants could be classified as responders or non-responders with more than 95% certainty. Our findings demonstrate it cannot be assumed that variation in changes in insulin sensitivity following SIT is attributable to inherent differences in trainability, and reiterate the importance of accounting for technical, biological, and random error when examining heterogeneity in health-related training adaptations.Highlights This study tested whether true interindividual variability exists for changes in insulin sensitivity and glyceamic control following 6-weeks of low volume sprint interval training (SIT).The high level of technical, biological, and random error associated with repeated measurements of insulin sensitivity and glycaemic control, means we can neither confidently conclude that there is evidence of true interindividual differences in the trainability of these outcomes following SIT, nor confidently identify responders or non-responders for such parameters.Researchers contrasting responders vs. non-responders for a given parameter, either to understand mechanisms of adaptation and/or develop physiological/genetic/epigenetic predictors of response, need to be aware that identification of responders and non-responders with sufficient certainty may not be achievable for parameters with a high level of technical, biological, and random error.
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Affiliation(s)
- Richard S Metcalfe
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, UK
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, Canada
| | - Niels B J Vollaard
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, UK
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9
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Wang K, Mehta RS, Ma W, Nguyen LH, Wang DD, Ghazi AR, Yan Y, Al-Shaar L, Wang Y, Hang D, Fu BC, Ogino S, Rimm EB, Hu FB, Carmody RN, Garrett WS, Sun Q, Chan AT, Huttenhower C, Song M. The gut microbiome modifies the associations of short- and long-term physical activity with body weight changes. MICROBIOME 2023; 11:121. [PMID: 37254152 PMCID: PMC10228038 DOI: 10.1186/s40168-023-01542-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/05/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND The gut microbiome regulates host energy balance and adiposity-related metabolic consequences, but it remains unknown how the gut microbiome modulates body weight response to physical activity (PA). METHODS Nested in the Health Professionals Follow-up Study, a subcohort of 307 healthy men (mean[SD] age, 70[4] years) provided stool and blood samples in 2012-2013. Data from cohort long-term follow-ups and from the accelerometer, doubly labeled water, and plasma biomarker measurements during the time of stool collection were used to assess long-term and short-term associations of PA with adiposity. The gut microbiome was profiled by shotgun metagenomics and metatranscriptomics. A subcohort of 209 healthy women from the Nurses' Health Study II was used for validation. RESULTS The microbial species Alistipes putredinis was found to modify the association between PA and body weight. Specifically, in individuals with higher abundance of A. putredinis, each 15-MET-hour/week increment in long-term PA was associated with 2.26 kg (95% CI, 1.53-2.98 kg) less weight gain from age 21 to the time of stool collection, whereas those with lower abundance of A. putredinis only had 1.01 kg (95% CI, 0.41-1.61 kg) less weight gain (pinteraction = 0.019). Consistent modification associated with A. putredinis was observed for short-term PA in relation to BMI, fat mass%, plasma HbA1c, and 6-month weight change. This modification effect might be partly attributable to four metabolic pathways encoded by A. putredinis, including folate transformation, fatty acid β-oxidation, gluconeogenesis, and stearate biosynthesis. CONCLUSIONS A greater abundance of A. putredinis may strengthen the beneficial association of PA with body weight change, suggesting the potential of gut microbial intervention to improve the efficacy of PA in body weight management. Video Abstract.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Raaj S Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dong D Wang
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew R Ghazi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Yan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laila Al-Shaar
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yiqing Wang
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Dong Hang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology and Biostatistics, International Joint Research Center On Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Benjamin C Fu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel N Carmody
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Wendy S Garrett
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Curtis Huttenhower
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA.
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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10
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Kelley GA, Kelley KS, Stauffer BL. Effects of resistance training on body weight and body composition in older adults: An inter-individual response difference meta-analysis of randomized controlled trials. Sci Prog 2023; 106:368504231179062. [PMID: 37302150 PMCID: PMC10450275 DOI: 10.1177/00368504231179062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Whether true inter-individual response differences (IIRD) occur as a result of resistance training on body weight and body composition in older adults with overweight and obesity is not known. To address this gap, data from a previous meta-analysis representing 587 men and women (333 resistance training, 254 control) ≥ 60 years of age nested in 15 randomized controlled trials of resistance training ≥ 8 weeks were included. Resistance training and control group change outcome standard deviations treated as point estimates for body weight and body composition (percent body fat, fat mass, body mass index in kg.m2, and lean body mass) were used to calculate true IIRD from each study. True IIRD as well as traditional pairwise comparisons were pooled using the inverse-variance (IVhet) model. Both 95% confidence intervals (CI) and prediction intervals (PI) were calculated. While statistically significant improvements were found for body weight and all body composition outcomes (p < 0.05 for all), no statistically significant IIRD was observed for any of the outcomes (p > 0.05 for all) and all 95% PIs overlapped. Conclusions: While resistance training is associated with improvements in body weight and body composition in older adults, the lack of true IIRD suggests that factors other than training response variation (random variation, physiological responses associated with behavioral changes that are not the result of resistance training) are responsible for the observed variation in body weight and body composition.
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Affiliation(s)
- George A. Kelley
- School of Public Health, Department of Epidemiology and Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Kristi S. Kelley
- Research Instructor, School of Public Health, Department of Epidemiology and Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Brian L. Stauffer
- Chief, Division of Cardiology, Denver Health Medical Center, Denver, CO, USA
- Professor, Department of Medicine, Division of Cardiology, University of Colorado at Denver, Aurora, CO, USA
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11
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Methenitis S, Papadopoulou SK, Panayiotou G, Kaprara A, Hatzitolios A, Skepastianos P, Karali K, Feidantsis K. Nutrition, body composition and physical activity have differential impact on the determination of lipidemic blood profiles between young females with different blood cholesterol concentrations. Obes Res Clin Pract 2023; 17:25-33. [PMID: 36641266 DOI: 10.1016/j.orcp.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 01/01/2023] [Accepted: 01/06/2023] [Indexed: 01/13/2023]
Abstract
INTRODUCTION This cross-sectional study explored whether nutrition, body composition, and physical activity energy expenditure (PAΕΝ) have a differential impact on lipidemic blood profiles among young females with different blood cholesterol concentrations. METHODS One hundred thirty-five young female students (N = 135) were allocated into three groups according to their blood cholesterol concentrations (Chol): (A) Normal [NL; Chol: < 200 mg·dL-1; n = 56 Age: 21.4 ± 2.6 yrs, Body Mass Index (BMI): 22.1 ± 2.0 kg·m-2], (B) Borderline (BL; Chol: ≥200 mg·dL-1 and <240 mg·dL-1; n = 44 Age: 21.6 ± 2.5 yrs, BMI: 24.2 ± 3.1 kg·m-2) and (C) High level (HL; Chol: ≥240 mg·dL-1; n = 35 Age: 22.5 ± 2.4 yrs, BMI: 28.9 ± 2.1 kg·m-2). Body composition [bioelectrical impedance analysis including lean body mass (LBM) and body fat mass], nutritional intake (recall questionnaire), daily physical activity energy expenditure through activity trackers and resting blood lipids concentrations were evaluated. RESULTS Multiple linear regression analyses revealed that in the NL group, lean mass, daily PAΕΝ and daily energy balance were the determinant parameters of blood lipidemic profiles (B: -0.815 to 0.700). In the BL group, nutrition, body composition and daily physical activity energy expenditure exhibited similar impacts (B: -0.440 to 0.478). In the HL group, nutritional intake and body fat mass determined blood lipidemic profile (B: -0.740 to 0.725). CONCLUSION Nutrition, body composition and daily PAΕΝ impact on blood lipids concentration is not universal among young females. In NL females, PAEN, energy expenditure and LBM are the strongest determinants of blood lipids, while in HL females, nutritional intake and body fat mass are. As PAΕΝ increases, the importance of nutrition and body fat decreases, and vice versa.
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Affiliation(s)
- Spyridon Methenitis
- Sports Performance Laboratory, School of Physical Education & Sports Science, National and Kapodistrian University of Athens, Athens GR-17237, Greece; Department of Nutrition Sciences and Dietetics, Faculty of Health Sciences, International Hellenic University, P.O. Box 141, Sindos GR-57400, Thessaloniki, Greece; Theseus, Physical Medicine and Rehabilitation Center, Athens, Greece
| | - Sousana K Papadopoulou
- Department of Nutrition Sciences and Dietetics, Faculty of Health Sciences, International Hellenic University, P.O. Box 141, Sindos GR-57400, Thessaloniki, Greece
| | - George Panayiotou
- Laboratory of Exercise, Health and Human Performance, Applied Sport Science Postgraduate Program, Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus
| | - Athina Kaprara
- Laboratory of Sports Medicine, School of Physical Education and Sports Science, Aristotle University of Thessaloniki, Thessaloniki GR-54124, Greece
| | - Apostolos Hatzitolios
- 1st Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki GR-54124, Greece
| | - Petros Skepastianos
- Department of Biomedical Sciences, Faculty of Health Sciences, International Hellenic University, P.O. Box 141, Sindos GR-57400, Thessaloniki, Greece
| | - Konstantina Karali
- 1st Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki GR-54124, Greece
| | - Konstantinos Feidantsis
- Department of Nutrition Sciences and Dietetics, Faculty of Health Sciences, International Hellenic University, P.O. Box 141, Sindos GR-57400, Thessaloniki, Greece.
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12
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Vancampfort D, Heissel A, Waclawovsky A, Stubbs B, Firth J, McGrath RL, Van Damme T, Schuch FB. Precision-based exercise in people with anxiety and stress related disorders: Are there interindividual differences in anxiolytic effects? An ancillary meta-analysis of randomized controlled trials. Psychiatry Res 2022; 317:114803. [PMID: 36027821 DOI: 10.1016/j.psychres.2022.114803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/08/2022] [Accepted: 08/18/2022] [Indexed: 11/19/2022]
Abstract
Interest in the individualized responses to exercise has been growing within mental health care and psychiatry. This meta-analysis examined if true interindividual differences (IIDs) in anxiolytic effects of exercise exist among adults with anxiety- and stress-related disorders. Data were extracted from a previous meta-analysis of randomized controlled trials (RCTs) and searches in CINAHL, Embase and Medline were updated (8 arms from 7 original studies, n participants=322). Change outcome standard deviations treated as point estimates for anxiety were extracted to calculate true IIDs. Inverse variance heterogeneity and restricted maximum likelihood models were used. Aerobic exercise and resistance training showed significant anxiolytic effects. No significant pooled IIDs were found for aerobic exercise nor resistance training demonstrating that there is currently a lack of convincing evidence to support the notion that true IIDs exist for the anxiolytic effects of exercise among adults with anxiety- and stress-related disorders. Consequently, clinical practice can focus on general population physical activity guidelines for patients with anxiety- and stress-related disorders rather than aiming for highly specific, individualized recommendations. Future research could prioritize investigating how to motivate patients with anxiety- and stress-related disorders to meet general population physical activity guidelines.
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Affiliation(s)
- Davy Vancampfort
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium; University Psychiatric Centre KU Leuven, Kortenberg, Leuven, Belgium.
| | - Andreas Heissel
- Social and Preventive Medicine, Department of Exercise and Health Sciences, Intra-faculty unit Cognitive Sciences, Faculty of Human Science and Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health University of Potsdam, Potsdam, Germany
| | - Aline Waclawovsky
- Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Ryan L McGrath
- School of Allied Health, Exercise and Sports Sciences, Charles Sturt University, Albury, NSW, Australia
| | - Tine Van Damme
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium; University Psychiatric Centre KU Leuven, Kortenberg, Leuven, Belgium
| | - Felipe B Schuch
- Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil
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13
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Kelley GA, Kelley KS, Callahan LF. Are There Interindividual Differences in Anxiety as a Result of Aerobic Exercise Training in Adults With Fibromyalgia? An Ancillary Meta-analysis of Randomized Controlled Trials. Arch Phys Med Rehabil 2022; 103:1858-1865. [PMID: 35051402 PMCID: PMC9288562 DOI: 10.1016/j.apmr.2021.12.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/12/2021] [Accepted: 12/23/2021] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To determine whether true interindividual response differences (IIRD) exist with respect to changes in anxiety because of aerobic exercise training in adults with fibromyalgia (FM). DATA SOURCES Data from a previous meta-analytical database of randomized controlled trials of exercise in adults with arthritis and other rheumatic diseases. STUDY SELECTION Randomized controlled trials limited to aerobic exercise training on anxiety in adults 18 years or older with FM were included. DATA EXTRACTION Change outcome SDs treated as point estimates for anxiety were used to calculate true IIRD from each study. In addition, treatment effect data were extracted. DATA SYNTHESIS The inverse variance heterogeneity model was used to pool all results. For the 5 studies and 321 participants in which results were pooled, statistically significant treatment effect reductions in anxiety were observed (mean, -0.77 points, 95% CI, -1.25 to -0.77). However, no significant IIRD were found (mean, 0.6 points, 95% CI, -1.2 to 1.5). The 95% prediction interval for true IIRD in a future study was -1.7 to 0.8. The percent chance, ie, probability, of a clinically meaningful difference in variability, was 61.5% (only possibly clinically important). CONCLUSIONS The results of the current study suggest that aerobic exercise is associated with reductions in anxiety among adults with fibromyalgia. However, there is currently a lack of convincing evidence to support the notion that true IIRD exist. Therefore, a search for potential mediators and moderators associated with aerobic exercise and changes in anxiety among adults with FM may not be warranted. However, additional research is needed before any true level of certainty can be established. This includes (1) the assessment of IIRD in future randomized controlled trials, (2) randomized controlled trials of longer duration, and (3) an increase in the proportion of men included in randomized controlled trials.
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Affiliation(s)
- George A Kelley
- Department of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV.
| | - Kristi S Kelley
- Department of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV
| | - Leigh F Callahan
- Department of Social Medicine, University of North Carolina, Chapel Hill, NC; Department of Orthopedics, University of North Carolina, Chapel Hill, NC; Department of Epidemiology, University of North Carolina, Chapel Hill, NC, United States
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14
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Steadman Breit JP, Kelley GA. Response variation as a result of tai chi on resting blood pressure in hypertensive adults: An aggregate data meta-analysis. Complement Ther Clin Pract 2022; 49:101641. [PMID: 35870250 DOI: 10.1016/j.ctcp.2022.101641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/03/2022] [Accepted: 07/09/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE Determine if inter-individual response differences (IIRD) are present with respect to tai chi as a treatment for high blood pressure in adults with hypertension. METHODS Using the aggregate data meta-analytic approach, seven randomized controlled trials (RCTs) representing 503 hypertensive participants from a recent meta-analysis of tai chi on resting systolic blood pressure (SBP) and diastolic blood pressure (DBP) were included. Tai chi and control group change outcome standard deviations treated as point estimates for both resting SBP and DBP were used to calculate true IIRD from each study. The inverse variance heterogeneity (IVhet) model was used to pool results. RESULTS Among adults with hypertension, statistically and clinically significant reductions in resting SBP (X‾, -8.68 mmHg, 95% CI, -9.55 to -7.81) and DBP (X‾, -4.42 mmHg, 95% CI, -5.71 to -3.13) were observed as an effect of practicing tai chi. In the same population, neither statistically nor clinically significant true IIRD was observed for resting SBP (X‾, -0.47 mmHg, 95% CI -5.13 to 5.08) while statistically, but not clinically significant differences were observed for resting DBP (X‾, 1.97 mmHg, 95% CI, 1.02 to 2.60). CONCLUSIONS The current findings suggest that while reductions in resting SBP and DBP were observed, a search for potential moderators and mediators for tai-chi-associated changes in resting DBP but not SBP may be warranted. However, a need exists for additional well-designed RCTs, including those from other countries, before a greater level of certainty can be established.
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Affiliation(s)
- Joel Patrick Steadman Breit
- School of Public Health, Department of Epidemiology and Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, 26506-9190, USA.
| | - George A Kelley
- School of Public Health, Department of Epidemiology and Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, 26506-9190, USA.
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15
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Interindividual Differences in Trainability and Moderators of Cardiorespiratory Fitness, Waist Circumference, and Body Mass Responses: A Large-Scale Individual Participant Data Meta-analysis. Sports Med 2022; 52:2837-2851. [PMID: 35781787 DOI: 10.1007/s40279-022-01725-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/06/2022] [Indexed: 10/17/2022]
Abstract
Although many studies have assumed variability reflects variance caused by exercise training, few studies have examined whether interindividual differences in trainability are present following exercise training. The present individual participant data (IPD) meta-analysis sought to: (1) investigate the presence of interindividual differences in trainability for cardiorespiratory fitness (CRF), waist circumference, and body mass; and (2) examine the influence of exercise training and potential moderators on the probability that an individual will experience clinically important differences. The IPD meta-analysis combined data from 1879 participants from eight previously published randomized controlled trials. We implemented a Bayesian framework to: (1) test the hypothesis of interindividual differences in trainability by comparing variability in change scores between exercise and control using Bayes factors; and (2) compare posterior predictions of control and exercise across a range of moderators (baseline body mass index (BMI) and exercise duration, intensity, amount, mode, and adherence) to estimate the proportions of participants expected to exceed minimum clinically important differences (MCIDs) for all three outcomes. Bayes factors demonstrated a lack of evidence supporting a high degree of variance attributable to interindividual differences in trainability across all three outcomes. These findings indicate that interindividual variability in observed changes are likely due to measurement error and external behavioural factors, not interindividual differences in trainability. Additionally, we found that a larger proportion of exercise participants were expected to exceed MCIDs compared with controls for all three outcomes. Moderator analyses identified that larger proportions were associated with a range of factors consistent with standard exercise theory and were driven by mean changes. Practitioners should prescribe exercise interventions known to elicit large mean changes to increase the probability that individuals will experience beneficial changes in CRF, waist circumference and body mass.
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16
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Precision exercise medicine in rheumatology: Don't put the cart before the horse. Clin Rheumatol 2022; 41:2277-2279. [PMID: 35732983 DOI: 10.1007/s10067-022-06260-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/09/2022] [Accepted: 06/17/2022] [Indexed: 11/03/2022]
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17
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Grammatikopoulou MG, Gkouskou KK, Gkiouras K, Bogdanos DP, Eliopoulos AG, Goulis DG. The Niche of n-of-1 Trials in Precision Medicine for Weight Loss and Obesity Treatment: Back to the Future. Curr Nutr Rep 2022; 11:133-145. [PMID: 35174475 DOI: 10.1007/s13668-022-00404-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2022] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW The n-of-1 clinical trials are considered the epitome of individualized health care. They are employed to address differences in treatment response and adverse events between patients, in a comparative effectiveness manner, extending beyond the delivery of horizontal recommendations for all. RECENT FINDINGS The n-of-1 design has been applied to deliver precision exercise interventions, through eHealth and mHealth technologies. Regarding personalized and precision medical nutrition therapy, few trials have implemented dietary manipulations and one series of n-of-1 trials has applied comprehensive genetic data to improve body weight. With regard to anti-obesity medication, pharmacogenetic data could be applied using the n-of-1 trial design, although none have been implemented yet. The n-of-1 clinical trials consist of the only tool for the delivery of evidence-based, personalized obesity treatment (lifestyle and pharmacotherapy), reducing non-responders, while tailoring the best intervention to each patient, through "trial and error". Their application is expected to improve obesity treatment and mitigate the epidemic.
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Affiliation(s)
- Maria G Grammatikopoulou
- Department of Nutritional Sciences and Dietetics, Faculty of Health Sciences, Alexander Campus, International Hellenic University, Sindos, PO Box 141, 57400, Thessaloniki, Greece.
| | - Kalliopi K Gkouskou
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece
- Embiodiagnostics Biology Research Company, 1 Melissinon and Damvergidon Street, Konstantinou Papadaki, 71305, Heraklion, Crete, Greece
| | - Konstantinos Gkiouras
- Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, 41334, Larissa, Greece
| | - Dimitrios P Bogdanos
- Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, 41334, Larissa, Greece
| | - Aristides G Eliopoulos
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece
- Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou Street, 11527, Athens, Greece
| | - Dimitrios G Goulis
- Unit of Reproductive Endocrinology, 1St Department of Obstetrics and Gynecology, Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
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18
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Kelley GA, Kelley KS, Stauffer BL. Walking and resting blood pressure: An inter-individual response difference meta-analysis of randomized controlled trials. Sci Prog 2022; 105:368504221101636. [PMID: 35593130 PMCID: PMC10358505 DOI: 10.1177/00368504221101636] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
While walking is associated with reductions in resting SBP and DBP, a lack of true IIRD exists, suggesting that factors other than training response variation (random variation, physiological responses associated with behavioral changes that are not the result of walking) are responsible for the observed variation in resting SBP and DBP.
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Affiliation(s)
- George A Kelley
- Department of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Kristi S Kelley
- Department of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Brian L Stauffer
- Division of Cardiology, Denver Health Medical Center, Denver,
CO, USA
- Department of Medicine, Division of Cardiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
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19
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Fitch AK, Bays HE. Obesity definition, diagnosis, bias, standard operating procedures (SOPs), and telehealth: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022. OBESITY PILLARS (ONLINE) 2022; 1:100004. [PMID: 37990702 PMCID: PMC10661988 DOI: 10.1016/j.obpill.2021.100004] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 11/23/2023]
Abstract
Background The Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) regarding definition, diagnosis, bias, standard operating procedures (SOPs) and telehealth is intended to provide clinicians an overview of obesity medicine and provide basic organizational tools towards establishing, directing, managing, and maintaining an obesity medical practice. Methods This CPS is based upon published scientific citations, clinical perspectives of OMA authors, and peer review by Obesity Medicine Association leadership. Results OMA has defined obesity as: "A chronic, progressive, relapsing, and treatable multi-factorial, neurobehavioral disease, wherein an increase in body fat promotes adipose tissue dysfunction and abnormal fat mass physical forces, resulting in adverse metabolic, biomechanical, and psychosocial health consequences." While body mass index may be sufficiently diagnostic for populations and many patients, accurate diagnosis of adiposity in an individual may require anthropometric assessments beyond body weight alone (e.g., waist circumference, percent body fat, and android/visceral fat). Obesity complications can be categorized as "sick fat disease" (adiposopathy) and/or "fat mass disease." Obesity complications predominantly of fat mass origins include sleep apnea and orthopedic conditions. Obesity complications due to adiposopathic endocrinopathies and/or immunopathies include cardiovascular disease, cancer, elevated blood sugar, elevated blood pressure, dyslipidemia, fatty liver, and alterations in sex hormones in both males (i.e., hypogonadism) and females (i.e., polycystic ovary syndrome). Obesity treatment begins with proactive steps to avoid weight bias, including patient-appropriate language, office equipment, and supplies. To help manage obesity and its complications, this CPS provides a practical template for an obesity medicine practice, creation of standard operating procedures, and incorporation of the OMA "ADAPT" method in telehealth (Assessment, Diagnosis, Advice, Prognosis, and Treatment). Conclusions The OMA CPS regarding "Obesity Definition, Diagnosis, Bias, Standard Operating Procedures (SOPs), and Telehealth" is one in a series of OMA CPSs designed to assist clinicians care for patients with the disease of obesity.
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Affiliation(s)
- Angela K. Fitch
- Massachusetts General Hospital Weight Center, Harvard Medical School, 50 Staniford Street Suite 430, Boston, MA, 02114, USA
| | - Harold E. Bays
- Louisville Metabolic and Atherosclerosis Research Center, University of Louisville School of Medicine, 3288 Illinois Avenue, Louisville, KY, 40213, USA
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20
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Inter-individual Response Differences on Resting Blood Pressure as a Result of Qigong in Adults: An Ancillary Meta-Analysis of Randomized Trials. Complement Ther Med 2022; 66:102818. [PMID: 35217171 DOI: 10.1016/j.ctim.2022.102818] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 02/17/2022] [Accepted: 02/21/2022] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE Conduct an ancillary meta-analysis to determine whether true IIRD exist with respect to the effects of qigong on resting SBP and DBP in adults. METHODS Data from a meta-analysis representing 370 participants (181 qigong, 189 control) from 7 randomized trials on qigong and resting SBP and DBP in men and women were included. Qigong and control group change outcome standard deviations treated as point estimates for both resting SBP and DBP were used to calculate true IIRD from each study and the inverse variance heterogeneity (IVhet) model was used to pool results. RESULTS For participants with essential hypertension, statistically significant and clinically important reductions in resting SBP (X̅, -18.2mmHg, 95% CI, -21.3 to -15.2mmHg) and DBP (X̅, -11.7mmHg, 95% CI, -17.0 to -6.3mmHg) were found. However, true IIRD were neither significant or clinically important for either SBP (X̅, -6.0mmHg, 95% CI, -9.1 to 3.5mmHg) or DBP (X̅, 2.8mmHg, 95% CI, -3.4 to 5.2mmHg). The 95% prediction interval for true IIRD was -11.9 to 8.4mmHg for SBP and -5.8 to 7.0mmHg for DBP. CONCLUSIONS While qigong is associated with reductions in resting SBP and DBP in adults with essential hypertension, a lack of true IIRD exists, suggesting that other external factors are responsible for any variation.
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Bonafiglia JT, Preobrazenski N, Gurd BJ. A Systematic Review Examining the Approaches Used to Estimate Interindividual Differences in Trainability and Classify Individual Responses to Exercise Training. Front Physiol 2021; 12:665044. [PMID: 34819869 PMCID: PMC8606564 DOI: 10.3389/fphys.2021.665044] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 10/05/2021] [Indexed: 12/13/2022] Open
Abstract
Background: Many reports describe statistical approaches for estimating interindividual differences in trainability and classifying individuals as "responders" or "non-responders." The extent to which studies in the exercise training literature have adopted these statistical approaches remains unclear. Objectives: This systematic review primarily sought to determine the extent to which studies in the exercise training literature have adopted sound statistical approaches for examining individual responses to exercise training. We also (1) investigated the existence of interindividual differences in trainability, and (2) tested the hypothesis that less conservative thresholds inflate response rates compared with thresholds that consider error and a smallest worthwhile change (SWC)/minimum clinically important difference (MCID). Methods: We searched six databases: AMED, CINAHL, EMBASE, Medline, PubMed, and SportDiscus. Our search spanned the aerobic, resistance, and clinical or rehabilitation training literature. Studies were included if they used human participants, employed standardized and supervised exercise training, and either: (1) stated that their exercise training intervention resulted in heterogenous responses, (2) statistically estimated interindividual differences in trainability, and/or (3) classified individual responses. We calculated effect sizes (ESIR) to examine the presence of interindividual differences in trainability. We also compared response rates (n = 614) across classification approaches that considered neither, one of, or both errors and an SWC or MCID. We then sorted response rates from studies that also reported mean changes and response thresholds (n = 435 response rates) into four quartiles to confirm our ancillary hypothesis that larger mean changes produce larger response rates. Results: Our search revealed 3,404 studies, and 149 were included in our systematic review. Few studies (n = 9) statistically estimated interindividual differences in trainability. The results from these few studies present a mixture of evidence for the presence of interindividual differences in trainability because several ESIR values lay above, below, or crossed zero. Zero-based thresholds and larger mean changes significantly (both p < 0.01) inflated response rates. Conclusion: Our findings provide evidence demonstrating why future studies should statistically estimate interindividual differences in trainability and consider error and an SWC or MCID when classifying individual responses to exercise training. Systematic Review Registration: [website], identifier [registration number].
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Affiliation(s)
- Jacob T Bonafiglia
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | | | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
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Mills HL, Higgins JP, Morris RW, Kessler D, Heron J, Wiles N, Davey Smith G, Tilling K. Detecting Heterogeneity of Intervention Effects Using Analysis and Meta-analysis of Differences in Variance Between Trial Arms. Epidemiology 2021; 32:846-854. [PMID: 34432720 PMCID: PMC8478324 DOI: 10.1097/ede.0000000000001401] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 07/12/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Randomized controlled trials (RCTs) with continuous outcomes usually only examine mean differences in response between trial arms. If the intervention has heterogeneous effects, then outcome variances will also differ between arms. Power of an individual trial to assess heterogeneity is lower than the power to detect the same size of main effect. METHODS We describe several methods for assessing differences in variance in trial arms and apply them to a single trial with individual patient data and to meta-analyses using summary data. Where individual data are available, we use regression-based methods to examine the effects of covariates on variation. We present an additional method to meta-analyze differences in variances with summary data. RESULTS In the single trial, there was agreement between methods, and the difference in variance was largely due to differences in prevalence of depression at baseline. In two meta-analyses, most individual trials did not show strong evidence of a difference in variance between arms, with wide confidence intervals. However, both meta-analyses showed evidence of greater variance in the control arm, and in one example, this was perhaps because mean outcome in the control arm was higher. CONCLUSIONS Using meta-analysis, we overcame low power of individual trials to examine differences in variance using meta-analysis. Evidence of differences in variance should be followed up to identify potential effect modifiers and explore other possible causes such as varying compliance.
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Affiliation(s)
- Harriet L. Mills
- From the Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Julian P.T. Higgins
- From the Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, United Kingdom
| | - Richard W. Morris
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - David Kessler
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, United Kingdom
| | - Jon Heron
- From the Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nicola Wiles
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- From the Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kate Tilling
- From the Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, United Kingdom
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PPAR α Gene Is Involved in Body Composition Variation in Response to an Aerobic Training Program in Overweight/Obese. PPAR Res 2021; 2021:8880042. [PMID: 34422027 PMCID: PMC8371623 DOI: 10.1155/2021/8880042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 06/25/2021] [Accepted: 07/27/2021] [Indexed: 12/02/2022] Open
Abstract
The objective of this study was to investigate the relationship of the polymorphism in Intron 7 G/C (rs 4253778) of the peroxisome proliferator-activated receptor alpha (PPARα) gene with the magnitude of changes in the body composition of an overweight and obese population that underwent an aerobic training program. Fifty-eight previously inactive men and women, body mass index (BMI) 31.5 ± 2.8 kg/m2, 46.5% (n = 27) genotyped as CC genotype and 53.5% (n = 31) as CA+AA, underwent a 12-week aerobic training (walking/running). Aerobic capacity (ergospirometry), body composition (DXA), and nutritional assessment were made before and 48 h after the experimental protocol. Two-way ANOVA, chi-square test, and logistic regression were used (p < 0.05). Twenty-seven volunteers (46.5%) were identified as CC genotype and 31 (53.5%) as CA+AA genotype. Time-group interaction showed that there was no difference in these between two allele groups. However, differences in distribution of respondents or nonresponders according to allele A were identified for fat mass (p ≤ 0.003), percentage fat mass (p ≤ 0.002), the waist (p ≤ 0.009), abdomen (p ≤ 0.000), and hip (p ≤ 0.001), this difference being independent for the fat mass. Meanwhile, sex, age, and nutritional management have also been found to be influential factors. It is concluded that the PPARα gene is involved in varying body composition in response to an aerobic training program.
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Kelley GA, Kelley KS, Stauffer BL. Isometric exercise and inter-individual response differences on resting systolic and diastolic blood pressure in adults: a meta-analysis of randomized controlled trials. Blood Press 2021; 30:310-321. [PMID: 34176377 DOI: 10.1080/08037051.2021.1940837] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE Isometric exercise (IE) has been shown to reduce resting systolic blood pressure (SBP) and diastolic blood pressure (DBP) in adults. However, no one to date has determined whether true inter-individual response differences (IIRD) versus random variability exist with respect to IE and resting SBP and DBP in adults ≥18 years of age. The purpose of the current study was to address this gap. METHODS AND MATERIALS Using the meta-analytic approach, randomised controlled trials from a recent meta-analysis that examined the effects of IE on resting SBP and DBP were included. Change outcome standard deviations for SBP and DBP from IE and control groups were used to calculate true IIRD from each study. The inverse variance heterogeneity (IVhet) model was used to pool results. RESULTS Pooled changes for true IIRD in SBP (16 studies, 411 participants) were 3.3 mmHg (95% confidence interval, -3.1 to 5.6 mmHg) while tau (τ) was 4.2. For DBP, true IIRD (16 studies, 411 participants) were 2.3 mmHg (95% confidence interval, -0.7 to 3.3 mmHg) while tau (τ) was 2.2. The 95% prediction interval for true IIRD in a future study was -5.8 to 7.4 mmHg for SBP and -2.7 to 4.2 mmHg for DBP. The percent chance, i.e. probability, of a clinically meaningful difference of 2 mmHg was 68% for SBP and 75% for DBP, both of which were only considered as 'possibly clinically important'. CONCLUSION While IE reduces resting SBP and DBP in adults, the results of the current study suggest that random variability versus true IIRD account for any potential differences as a result of IE on changes in resting SBP and DBP in adults. Thus, a search for potential moderators and mediators, including potential genetic interactions associated with IE, may not be warranted.
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Affiliation(s)
- George A Kelley
- Department of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Kristi S Kelley
- Department of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Brian L Stauffer
- Department of Medicine, Division of Cardiology, Denver Health Medical Center, University of Colorado at Denver, Aurora, CO, USA
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Individual Participant Data Meta-Analysis Provides No Evidence of Intervention Response Variation in Individuals Supplementing With Beta-Alanine. Int J Sport Nutr Exerc Metab 2021; 31:305-313. [PMID: 34098531 DOI: 10.1123/ijsnem.2021-0038] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/05/2021] [Accepted: 04/05/2021] [Indexed: 11/18/2022]
Abstract
Currently, little is known about the extent of interindividual variability in response to beta-alanine (BA) supplementation, nor what proportion of said variability can be attributed to external factors or to the intervention itself (intervention response). To investigate this, individual participant data on the effect of BA supplementation on a high-intensity cycling capacity test (CCT110%) were meta-analyzed. Changes in time to exhaustion (TTE) and muscle carnosine were the primary and secondary outcomes. Multilevel distributional Bayesian models were used to estimate the mean and SD of BA and placebo group change scores. The relative sizes of group SDs were used to infer whether observed variation in change scores were due to intervention or non-intervention-related effects. Six eligible studies were identified, and individual data were obtained from four of these. Analyses showed a group effect of BA supplementation on TTE (7.7, 95% credible interval [CrI] [1.3, 14.3] s) and muscle carnosine (18.1, 95% CrI [14.5, 21.9] mmol/kg DM). A large intervention response variation was identified for muscle carnosine (σIR = 5.8, 95% CrI [4.2, 7.4] mmol/kg DM) while equivalent change score SDs were shown for TTE in both the placebo (16.1, 95% CrI [13.0, 21.3] s) and BA (15.9, 95% CrI [13.0, 20.0] s) conditions, with the probability that SD was greater in placebo being 0.64. In conclusion, the similarity in observed change score SDs between groups for TTE indicates the source of variation is common to both groups, and therefore unrelated to the supplement itself, likely originating instead from external factors such as nutritional intake, sleep patterns, or training status.
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27
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Verboven K, Hansen D. Critical Reappraisal of the Role and Importance of Exercise Intervention in the Treatment of Obesity in Adults. Sports Med 2021; 51:379-389. [PMID: 33332014 DOI: 10.1007/s40279-020-01392-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In the treatment of obesity in adults, exercise intervention is recommended and some people with obesity even prefer exercise above dietary intervention as a single weight-loss strategy. However, evidence is accumulating that the long-term body weight and adipose tissue mass loss as a result of exercise intervention in these individuals is disappointingly small. Although this could be related to various clinical reasons, more recent evidence reveals that also (patho)physiological abnormalities are involved which cannot be remediated by exercise intervention, especially in metabolically compromised patients. As a result, the role and importance of exercise intervention in the treatment of obesity deserve significant reconsideration to avoid confusion and disappointment amongst clinicians, patients and society. Hence, to reduce adipose tissue mass and body weight, dietary intervention is much more effective than exercise intervention, and is, therefore, of key importance in this endeavour. However, dietary interventions must be supplemented by exercise training to induce clinically relevant changes in specific cardiovascular or metabolic risk factors like blood pressure, blood triglycerides and high-density lipoprotein cholesterol concentrations, as well as visceral adipose tissue mass, physical fitness, muscle mass and strength, quality of life and life expectancy. This allows individuals with obesity to preserve their cardiometabolic health or to shift from a metabolically unhealthy phenotype to a metabolically healthy phenotype. Signifying the true clinical value of exercise interventions might lead to a better understanding and appreciation of the goals and associated effects when implemented in the multidisciplinary treatment of obesity, for which a proper tailoring of exercise prescription is required.
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Affiliation(s)
- Kenneth Verboven
- REVAL-Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Building A, 3590, AgoralaanDiepenbeek, Belgium. .,BIOMED-Biomedical Research Center, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.
| | - Dominique Hansen
- REVAL-Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Building A, 3590, AgoralaanDiepenbeek, Belgium.,BIOMED-Biomedical Research Center, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.,Jessa Hospital, Heart Centre Hasselt, Hasselt, Belgium
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Bonafiglia JT, Islam H, Preobrazenski N, Ma A, Deschenes M, Erlich AT, Quadrilatero J, Hood DA, Gurd BJ. Examining interindividual differences in select muscle and whole-body adaptations to continuous endurance training. Exp Physiol 2021; 106:2168-2176. [PMID: 33998072 DOI: 10.1113/ep089421] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 05/12/2021] [Indexed: 11/08/2022]
Abstract
NEW FINDINGS What is the central question of the study? Do interindividual differences in trainability exist for morphological and molecular skeletal muscle responses to aerobic exercise training? What is the main finding and its importance? Interindividual differences in trainability were present for some, but not all, morphological and molecular outcomes included in our study. Our findings suggest that is inappropriate, and perhaps erroneous, to assume that variability in observed responses reflects interindividual differences in trainability in skeletal muscle responses to aerobic exercise training. ABSTRACT Studies have interpreted a wide range of morphological and molecular changes in human skeletal muscle as evidence of interindividual differences in trainability. However, these interpretations fail to account for the influence of random measurement error and within-subject variability. The purpose of the present study was to use the standard deviation of individual response (SDIR ) statistic to test the hypothesis that interindividual differences in trainability are present for some but not all skeletal muscle outcomes. Twenty-nine recreationally-active males (age: 21±2 years; BMI: 24±3; VO2 peak: 45±7 mL/kg/min) completed four weeks of continuous training (REL; n = 14) or control (CTRL; n = 15). Maximal enzyme activities (citrate synthase and β-HAD), capillary density, fibre type composition, fibre-specific SDH activity and substrate storage (IMTG and glycogen), and markers of mitophagy (BNIP3, NIX, PRKN, and PINK1) were measured in vastus lateralis samples collected before and after the intervention. We also calculated SDIR values for VO2 peak, peak work rate, and the onset of blood lactate accumulation for REL and a separate group that exercised at the negative talk test (TT) stage. Although positive SDIR values - indicating interindividual differences in trainability - were obtained for aerobic capacity outcomes, maximal enzyme activities, capillary density, all fibre-specific outcomes, and BNIP3 protein content, the remaining outcomes produced negative SDIR values indicating a large degree of random measurement error and/or within-subject variability. Our findings question the interpretation of heterogeneity in observed responses as evidence of interindividual differences in trainability and highlight the importance of including control groups when analyzing individual skeletal muscle response to exercise training. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jacob T Bonafiglia
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada
| | - Hashim Islam
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.,School of Health and Exercise Sciences, University of British Columbia - Okanagan, Kelowna, BC, Canada
| | - Nicholas Preobrazenski
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.,Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Andrew Ma
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Madeleine Deschenes
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada
| | - Avigail T Erlich
- Muscle Health Research Centre, School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada
| | - Joe Quadrilatero
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - David A Hood
- Muscle Health Research Centre, School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada
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Kelley GA, Kelley KS, Pate RR. Inter-individual differences in body mass index were not observed as a result of aerobic exercise in children and adolescents with overweight and obesity. Pediatr Obes 2021; 16:e12692. [PMID: 32657544 DOI: 10.1111/ijpo.12692] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 04/09/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Exercise has been recommended as an important intervention for reducing adiposity in children and adolescents with overweight and obesity. OBJECTIVE Determine whether inter-individual differences exist in relation to exercise-induced changes in adiposity among children and adolescents with overweight and obesity. METHODS Meta-analysis of randomized controlled aerobic exercise trials and body mass index (BMI) in kg · m-2 . Change outcome standard deviations were pooled using the inverse-variance heterogeneity model. RESULTS Twenty-eight studies (1185 participants) were included. Inter-individual differences in BMI were -0.1 (95% compatibility interval, -0.7 to 0.7). The 95% prediction interval for inter-individual responses in a future study was -2.9 to 2.9. The probability of a clinically meaningful difference in variability was 29% (possibly clinically important) in favour of controls vs exercisers. CONCLUSIONS Inter-individual differences for BMI in kg · m-2 were not observed as a result of aerobic exercise in children and adolescents with overweight and obesity.
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Affiliation(s)
- George A Kelley
- School of Public Health, Department of Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, West Virginia, USA
| | - Kristi S Kelley
- School of Public Health, Department of Biostatistics, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, West Virginia, USA
| | - Russell R Pate
- Children's Physical Activity Research Group, Department of Exercise Science, University of South Carolina, Columbia, South Carolina, USA
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Watson JA, Ryan CG, Atkinson G, Williamson P, Ellington D, Whittle R, Dixon J, Martin DJ. Inter-Individual Differences in the Responses to Pain Neuroscience Education in Adults With Chronic Musculoskeletal Pain: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. THE JOURNAL OF PAIN 2021; 22:9-20. [DOI: 10.1016/j.jpain.2020.03.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 01/21/2020] [Accepted: 03/24/2020] [Indexed: 12/11/2022]
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Smith ES, Smith HA, Betts JA, Gonzalez JT, Atkinson G. A Systematic Review and Meta-Analysis Comparing Heterogeneity in Body Mass Responses Between Low-Carbohydrate and Low-Fat Diets. Obesity (Silver Spring) 2020; 28:1833-1842. [PMID: 32959516 DOI: 10.1002/oby.22968] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 05/23/2020] [Accepted: 06/14/2020] [Indexed: 12/30/2022]
Abstract
OBJECTIVE An important notion in personalized medicine is that there is clinically relevant treatment response heterogeneity. Low-carbohydrate (CHO) and low-fat diets are widely adopted to reduce body mass. To compare individual differences in responses between two dietary interventions, a formal statistical comparison of response variances between study arms in a randomized controlled trial (RCT) is crucial. METHODS The change in variances in RCTs for the body mass responses to low-CHO dietary interventions versus change variances for the low-fat groups (typically considered as the comparator intervention) were compared. A literature search identified relevant RCTs (n = 25; 3,340 participants). The means and SDs of body mass change in low-CHO and low-fat study arms were extracted to calculate the variances of individual responses. These were meta-analyzed in a random-effects model and converted to the SD for individual responses. RESULTS The pooled SD for individual responses for body mass was 1.4 kg (95% CI: -1.1 to 2.3) with a wide 95% prediction interval of -6.3 to 10.4 kg. CONCLUSIONS Evidence is insufficient to suggest the response heterogeneity to low-CHO diets differs from that observed with low-fat diets.
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Affiliation(s)
- Eleanor S Smith
- Department for Health, University of Bath, Bath, UK
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | | | | | | | - Greg Atkinson
- School of Health and Life Sciences, Teesside University, Middlesbrough, UK
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Bonafiglia JT, Brennan AM, Ross R, Gurd BJ. An appraisal of the SD IR as an estimate of true individual differences in training responsiveness in parallel-arm exercise randomized controlled trials. Physiol Rep 2020; 7:e14163. [PMID: 31325240 PMCID: PMC6642277 DOI: 10.14814/phy2.14163] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 06/10/2019] [Accepted: 06/12/2019] [Indexed: 12/27/2022] Open
Abstract
Calculating the standard deviation of individual responses (SDIR) is recommended for estimating the magnitude of individual differences in training responsiveness in parallel‐arm exercise randomized controlled trials (RCTs). The purpose of this review article is to discuss potential limitations of parallel‐arm exercise RCTs that may confound/complicate the interpretation of the SDIR. To provide context for this discussion, we define the sources of variation that contribute to variability in the observed responses to exercise training and review the assumptions that underlie the interpretation of SDIR as a reflection of true individual differences in training responsiveness. This review also contains two novel analyses: (1) we demonstrate differences in variability in changes in diet and physical activity habits across an intervention period in both exercise and control groups, and (2) we examined participant dropout data from six RCTs and found that significantly (P < 0.001) more participants in control groups (12.8%) dropped out due to dissatisfaction with group assignment compared to exercise groups (3.4%). These novel analyses raise the possibility that the magnitude of within‐subject variability may not be equal between exercise and control groups. Overall, this review highlights that potential limitations of parallel‐arm exercise RCTs can violate the underlying assumptions of the SDIR and suggests that these limitations should be considered when interpreting the SDIR as an estimate of true individual differences in training responsiveness.
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Affiliation(s)
- Jacob T Bonafiglia
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario
| | - Andrea M Brennan
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario
| | - Robert Ross
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario
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Kelley GA, Kelley KS, Pate RR. Are There Inter-Individual Differences in Fat Mass and Percent Body Fat as a Result of Aerobic Exercise Training in Overweight and Obese Children and Adolescents? A Meta-Analytic Perspective. Child Obes 2020; 16:301-306. [PMID: 32486838 DOI: 10.1089/chi.2020.0056] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Determine whether inter-individual response differences exist with respect to changes in fat mass and percent body fat as a result of aerobic exercise training in overweight and obese children and adolescents. Methods: Using the meta-analytic approach, randomized controlled trials that examined the effects of aerobic exercise training on fat mass and percent body fat in overweight and obese children and adolescents were included. Change outcome standard deviations for fat mass and percent body fat were used to calculate true inter-individual differences from each study. The inverse variance heterogeneity model was used to pool results. Results: Pooled changes for inter-individual response differences in fat mass (16 studies, 575 participants) were 0.9 kg (95% confidence interval [CI], -1.4 to 1.8 kg) while tau ([Formula: see text]) was 2.9. For percent body fat, inter-individual differences (27 studies, 1035 participants) were 0.6% (95% CI, -0.6% to 1.0%, [Formula: see text] = 0.7). The 95% prediction interval for true inter-individual responses in a future study was -4.9 to 5.5 kg for fat mass and -0.7% to 1.7% for percent body fat. The percent chance, that is, probability, of a clinically meaningful difference in variability was 47% for fat mass and 26% for percent body fat, both of which were considered as only possibly clinically important. Conclusions: There is a lack of convincing evidence to suggest that true inter-individual response differences exist with respect to aerobic exercise training and changes in fat mass and percent body fat in overweight and obese children and adolescents.
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Affiliation(s)
- George A Kelley
- Department of Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Kristi S Kelley
- Department of Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA
| | - Russell R Pate
- Department of Exercise Science, Children's Physical Activity Research Group, University of South Carolina, Columbia, SC, USA
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Chrzanowski-Smith OJ, Piatrikova E, Betts JA, Williams S, Gonzalez JT. Variability in exercise physiology: Can capturing intra-individual variation help better understand true inter-individual responses? Eur J Sport Sci 2019; 20:452-460. [PMID: 31397212 DOI: 10.1080/17461391.2019.1655100] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Exploring individual responses to exercise training is a growing area of interest. Understanding reasons behind true observed inter-individual responses may help personalise exercise training to maximise the benefits received. While numerous factors have been explored, an often underappreciated consideration in the sport and exercise science field is the influence intra-individual variation, both in a single measurement and in response to an intervention, may have on training outcomes. Several study designs and statistical approaches are available to incorporate intra-individual variation into interventions and accordingly provide information on whether 'true' inter-individual responses are present or if they are an artefact of intra-individual variation. However, such approaches are sparingly applied. Moreover, intra-individual variation may also be important when true inter-individual response differences are present. In this perspective piece, the concept of intra-individual variation is described before briefly summarising study designs and statistical practices to account for intra-individual variation. We then outline two examples of physiological practices (stratified randomisation and prescribing exercise programmes upon training parameters) to demonstrate why sport and exercise scientists should acknowledge intra-individual variation prior to the implementation of an intervention, which potentially offers an additional explanation behind observed true inter-individual responses to training. Repeated testing pre-implementation of exercise training would conceptually provide more confident estimates of training parameters, which if utilised in a study design will help attenuate biases that may dictate inter-individual differences. Moreover, the incorporation of intra-individual differences will facilitate insights into alternative factors that may predict and/or explain true observed individual responses to an exercise training programme.
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Pickering C, Kiely J. Exercise Response Efficiency: A Novel Way to Enhance Population Health? Lifestyle Genom 2019; 11:129-135. [PMID: 31302657 DOI: 10.1159/000501206] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 05/24/2019] [Indexed: 11/19/2022] Open
Abstract
The rates of obesity and its related comorbidities have increased substantially over the last 30 years, with approximately 35% of all US adults now classified as obese. Whilst the causes of obesity are both complex and multifactorial, one contributor is a reduction in leisure time physical activity, with no concurrent reduction in energy intake. Physical activity interventions have been demonstrated to promote fat loss, yet more than 50% of US adults undertake no leisure time physical activity at all, with a lack of time and enjoyment often cited as the main drivers of rising inactivity levels. Furthermore, recent evidence has demonstrated that a sub-group of individuals may experience no improvement in a given fitness or health-related measure following a specific training programme, suggesting that there may be optimal exercise types for different groups of individuals. In this paper, we introduce the concept of exercise response efficiency, whereby individuals are matched to the training type from which they are most likely to derive the greatest improvements for the least time commitment. We propose that a more precise targeting of exercise interventions is likely to drive more rapid improvements in health, thereby promoting exercise adherence and enjoyment, whilst simultaneously reducing obesity and mortality risks. Such an innovation would, we suggest, confer important public health benefits.
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Affiliation(s)
- Craig Pickering
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston, United Kingdom,
| | - John Kiely
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston, United Kingdom
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Goltz FR, Thackray AE, Atkinson G, Lolli L, King JA, Dorling JL, Dowejko M, Mastana S, Stensel DJ. True Interindividual Variability Exists in Postprandial Appetite Responses in Healthy Men But Is Not Moderated by the FTO Genotype. J Nutr 2019; 149:1159-1169. [PMID: 31132105 PMCID: PMC6602891 DOI: 10.1093/jn/nxz062] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 02/05/2019] [Accepted: 03/11/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND After meal ingestion, a series of coordinated hormone responses occur concomitantly with changes in perceived appetite. It is not known whether interindividual variability in appetite exists in response to a meal. OBJECTIVES The aim of this study was to 1) assess the reproducibility of appetite responses to a meal; 2) quantify individual differences in responses; and 3) explore any moderating influence of the fat mass and obesity associated (FTO) gene. METHODS Using a replicated crossover design, 18 healthy men (mean ± SD age: 28.5 ± 9.8 y; BMI: 27.0 ± 5.0 kg/m2) recruited according to FTO genotype (9 AA, 9 TT) completed 2 identical control and 2 identical standardized meal conditions (5025 kJ) in randomized sequences. Perceived appetite and plasma acylated ghrelin, total peptide YY (PYY), insulin, and glucose concentrations were measured before and after interventions as primary outcomes. Interindividual differences were explored using Pearson's product-moment correlations between the first and second replicates of the control-adjusted meal response. Within-participant covariate-adjusted linear mixed models were used to quantify participant-by-condition and genotype-by-condition interactions. RESULTS The meal suppressed acylated ghrelin and appetite perceptions [standardized effect size (ES): 0.18-4.26] and elevated total PYY, insulin, and glucose (ES: 1.96-21.60). For all variables, SD of change scores was greater in the meal than in the control conditions. Moderate-to-large positive correlations were observed between the 2 replicates of control-adjusted meal responses for all variables (r = 0.44-0.86, P ≤ 0.070). Participant-by-condition interactions were present for all variables (P ≤ 0.056). FTO genotype-by-condition interactions were nonsignificant (P ≥ 0.19) and treatment effect differences between genotype groups were small (ES ≤ 0.27) for all appetite parameters. CONCLUSIONS Reproducibility of postprandial appetite responses is generally good. True interindividual variability is present beyond any random within-subject variation in healthy men but we detected no moderation by the FTO genotype. These findings highlight the importance of exploring individual differences in appetite for the prevention and treatment of obesity. This trial was registered at clinicaltrials.gov as NCT03771690.
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Affiliation(s)
- Fernanda R Goltz
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, United Kingdom,University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom
| | - Alice E Thackray
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, United Kingdom,University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom
| | - Greg Atkinson
- School of Health and Social Care, Teesside University, Middlesbrough, United Kingdom
| | - Lorenzo Lolli
- School of Health and Social Care, Teesside University, Middlesbrough, United Kingdom
| | - James A King
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, United Kingdom,University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom
| | - James L Dorling
- Ingestive Behavior Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Monika Dowejko
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Sarabjit Mastana
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - David J Stensel
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, United Kingdom,University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom,Address correspondence to DJS (e-mail: )
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Walsh JJ, Bonafiglia JT, Goldfield GS, Sigal RJ, Kenny GP, Doucette S, Hadjiyannakis S, Alberga AS, Prud'homme D, Gurd BJ. Interindividual variability and individual responses to exercise training in adolescents with obesity. Appl Physiol Nutr Metab 2019; 45:45-54. [PMID: 31121100 DOI: 10.1139/apnm-2019-0088] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
This study investigated the impact of exercise training on interindividual variability and response rates in body composition and cardiometabolic outcomes in adolescents with obesity. Postpubertal males and females (n = 143) were randomly assigned to 6 months of a diet-only control or aerobic, resistance, or combined exercise training. Body composition indices were percentages of body fat mass and lean body mass and waist circumference. Biomarkers of cardiometabolic health were systolic blood pressure and plasma fasting glucose, triglycerides, and high-density lipoprotein cholesterol. Interindividual variability was examined by comparing the standard deviation of individual responses (SDIR) to a smallest robust change (SRC). The typical error of measurement was used to classify responses. SDIR exceeded the SRC for percent body fat mass in all exercise groups (SRC = 1.04%; aerobic SDIR = 1.50%; resistance SDIR = 1.22%; combined SDIR = 2.29%), percent lean body mass (SRC = 1.38%; SDIR = 3.2%,), systolic blood pressure (SRC = 2.06 mm Hg; SDIR = 4.92 mm Hg) in the resistance group, and waist circumference (SRC = 2.33 cm; SDIR = 4.09 cm), and fasting glucose (SRC = 0.08 mmol/L; SDIR = 0.28 mmol/L) in the combined group. However, half of the reported variables (11/21) did not have a positive SDIR. Importantly, adverse response rates were significantly lower in all 3 exercise groups compared with control for body composition. Although exercise had a small influence on interindividual variability for indices of body composition, the rate of adverse responses did not increase for any outcome. Novelty Interindividual variability and individual responses to exercise training have not been investigated in adolescents with obesity. Six months of exercise training does not increase interindividual variability in adolescents with obesity. Exercise created a positive, uniform shift in responses.
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Affiliation(s)
- Jeremy J Walsh
- School of Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC V1V 1V7, Canada.,Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Jacob T Bonafiglia
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Gary S Goldfield
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada.,Department of Pediatrics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.,School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.,School of Psychology, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Ronald J Sigal
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON K1Y 4E9, Canada.,Departments of Medicine, Cardiac Sciences and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Glen P Kenny
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON K1Y 4E9, Canada
| | - Steve Doucette
- Department of Community Health & Epidemiology, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Stasia Hadjiyannakis
- Centre for Healthy Active Living, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Angela S Alberga
- Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, QC H4B 1R6, Canada
| | - Denis Prud'homme
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.,Institut du Savoir Montfort, Ottawa, ON K1K 0T2, Canada
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada
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Ward WE, Chilibeck PD, Comelli EM, Duncan AM, Phillips SM, Robinson LE, Stellingwerff T. Research in nutritional supplements and nutraceuticals for health, physical activity, and performance: moving forward 1. Appl Physiol Nutr Metab 2019; 44:455-460. [PMID: 30794435 DOI: 10.1139/apnm-2018-0781] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
This Horizons is part of a series that identifies key, forward-thinking research questions and challenges that need to be addressed. Specifically, this Horizons paper discusses research in nutritional supplements and nutraceuticals for health, physical activity, and performance, and is the product of a discussion by an expert panel that took place in January 2018 prior to the Canadian Nutrition Society Thematic Conference "Advances in Sport Nutrition from Daily Living to High Performance Sport". The objective of this Horizons paper was to identify core considerations for future studies for this research area, and how scientists can be leaders in the field to ensure the best quality science is available for decision makers. It is strongly recommended that the various elements highlighted throughout this Horizons paper will increase the awareness of the significant before-, during-, and after-research due-diligence required to produce research of the highest quality. While it is recognized that many scientists will not be able to meet all of these aspects, it is nonetheless important to consider the points outlined and to recognize that those elements that are not met in studies may be significant limitations. Highlights Research questions that are hypothesis-driven are the strongest, and when combined with careful planning of the study, the result will often be of the best quality. Studies with a strong experimental design help discern between evidence-based findings and those that have not been substantiated.
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Affiliation(s)
- Wendy E Ward
- a Department of Kinesiology, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada
| | - Philip D Chilibeck
- b College of Kinesiology, University of Saskatchewan Saskatoon, SK S7N 5B2, Canada
| | - Elena M Comelli
- c Department of Nutritional Sciences, University of Toronto and Joannah and Brian Lawson Centre for Child Nutrition, University of Toronto, Toronto, ON M5S 3E2, Canada
| | - Alison M Duncan
- d Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Stuart M Phillips
- e Department of Kinesiology, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Lindsay E Robinson
- d Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Trent Stellingwerff
- f Canadian Sport Institute Pacific - Performance Solutions, Athletics Canada, Victoria, BC V9E 2C5, Canada
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Metabolic adaptations during negative energy balance and their potential impact on appetite and food intake. Proc Nutr Soc 2019; 78:279-289. [DOI: 10.1017/s0029665118002811] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
This review examines the metabolic adaptations that occur in response to negative energy balance and their potential putative or functional impact on appetite and food intake. Sustained negative energy balance will result in weight loss, with body composition changes similar for different dietary interventions if total energy and protein intake are equated. During periods of underfeeding, compensatory metabolic and behavioural responses occur that attenuate the prescribed energy deficit. While losses of metabolically active tissue during energy deficit result in reduced energy expenditure, an additional down-regulation in expenditure has been noted that cannot be explained by changes in body tissue (e.g. adaptive thermogenesis). Sustained negative energy balance is also associated with an increase in orexigenic drive and changes in appetite-related peptides during weight loss that may act as cues for increased hunger and food intake. It has also been suggested that losses of fat-free mass (FFM) could also act as an orexigenic signal during weight loss, but more data are needed to support these findings and the signalling pathways linking FFM and energy intake remain unclear. Taken together, these metabolic and behavioural responses to weight loss point to a highly complex and dynamic energy balance system in which perturbations to individual components can cause co-ordinated and inter-related compensatory responses elsewhere. The strength of these compensatory responses is individually subtle, and early identification of this variability may help identify individuals that respond well or poorly to an intervention.
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