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Spillman LN, Stowe E, Madden AM, Rennie KL, Oude Griep LM, Allison M, Kenney L, O'Connor C, Griffin SJ. Diet and physical activity interventions to improve cardiovascular disease risk factors in liver transplant recipients: Systematic review and meta-analysis. Transplant Rev (Orlando) 2024; 38:100852. [PMID: 38615497 DOI: 10.1016/j.trre.2024.100852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/26/2024] [Accepted: 03/30/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND AND AIMS Cardiovascular disease, associated risk factors and obesity are prevalent after liver transplant and modifiable through lifestyle changes. Understanding what lifestyle interventions and their respective components are effective is essential for translation to clinical practice. We aimed to investigate the effects of diet and physical activity interventions on weight, body mass index and other cardiovascular disease risk factors in liver transplant recipients, and systematically describe the interventions. METHODS We systematically searched Embase, MEDLINE, Psycho Info, CINAHL, Cochrane central register of controlled trials, PeDro, AMED, BNI, Web of Science, OpenGrey, ClinicalTrials.gov and the international clinical trials registry from inception to 31 May 2023. Search results were screened by two independent reviewers: randomised control trials with interventions that targeted diet and physical activity behaviours in liver transplant recipients were considered eligible. Two independent reviewers extracted and synthesised data for study, participant and intervention details and results. We used the Revised Cochrane Risk of Bias Tool for Randomised Trials to assess risk of bias for outcomes and the GRADE approach to rate the quality of the body of evidence. When two or more studies reported findings for an outcome, we pooled data using random-effects meta-analysis. RESULTS Six studies were included, reporting three physical activity and three combined diet and physical activity interventions. Participants were 2 months-4 years post-transplant. Interventions lasted 12 weeks-10 months and were delivered remotely and/or in-person, most commonly delivered to individual participants by health care or sports professionals. Five studies described individual tailoring, e.g. exercise intensity. Adherence to interventions ranged from 51% to 94%. No studies reported fidelity. Intervention components were not consistently reported. In meta-analysis, diet and physical activity interventions did not significantly reduce weight or body mass index compared to control groups, however no studies targeted participants with obesity. Diet and physical activity interventions reduced percentage body fat and triglycerides compared to control groups but did not reduce total cholesterol or increase activity. The GRADE quality of evidence was low or very low. CONCLUSION Diet and physical activity interventions reduced percentage body fat and triglycerides in liver transplant recipients. Further good quality research is needed to evaluate their effect on other cardiovascular disease risk factors, including weight and BMI. Interventions need to be better described and evaluated to improve evidence base and inform patient care.
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Affiliation(s)
- Lynsey N Spillman
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; Liver Transplant Unit, Cambridge NIHR Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK.
| | - Emily Stowe
- Physiotherapy, Farleigh Hospice, Chelmsford CM1 7FH, UK
| | - Angela M Madden
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK
| | - Kirsten L Rennie
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Linda M Oude Griep
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Michael Allison
- Liver Transplant Unit, Cambridge NIHR Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Leia Kenney
- Liver Transplant Unit, Cambridge NIHR Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Ciara O'Connor
- Liver Transplant Unit, Cambridge NIHR Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Simon J Griffin
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; Department of Public Health and Primary Care, Primary Care Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SR, UK
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Suorsa K, Leskinen T, Gupta N, Andersen LL, Pasanen J, Hettiarachchi P, Johansson PJ, Pentti J, Vahtera J, Stenholm S. Longitudinal Associations between 24-h Movement Behaviors and Cardiometabolic Biomarkers: A Natural Experiment over Retirement. Med Sci Sports Exerc 2024; 56:1297-1306. [PMID: 38415991 DOI: 10.1249/mss.0000000000003415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
INTRODUCTION Physical activity, sedentary behavior, and sleep, that is, 24-h movement behaviors, often change in the transition from work to retirement, which may affect cardiometabolic health. This study investigates the longitudinal associations between changes in 24-h movement behaviors and cardiometabolic biomarkers during the retirement transition. METHODS Retiring public sector workers ( n = 212; mean (SD) age, 63.5 (1.1) yr) from the Finnish Retirement and Aging study used a thigh-worn Axivity accelerometer and filled out a diary to obtain data on daily time spent in sedentary behavior (SED), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), and sleep before and after retirement (1 yr in-between). Cardiometabolic biomarkers, including LDL-cholesterol, HDL-cholesterol, total/HDL-cholesterol ratio, triglycerides, C-reactive protein, fasting glucose, and insulin, were measured. Associations between changes in 24-h movement behaviors and cardiometabolic biomarkers were analyzed using compositional robust regression and isotemporal substitution analysis. RESULTS Increasing LPA in relation to remaining behaviors was associated with an increase in HDL-cholesterol and decrease in total/HDL-cholesterol ratio ( P < 0.05 for both). For instance, reallocation of 30 min from sleep/SED to LPA was associated with an increase in HDL-cholesterol by 0.02 mmol·L -1 . Moreover, increasing MVPA in relation to remaining behaviors was associated with a decrease in triglycerides ( P = 0.02). Reallocation of 30 min from SED/sleep to MVPA was associated with 0.07-0.08 mmol·L -1 decrease in triglycerides. Findings related to LDL-cholesterol, C-reactive protein, fasting glucose, and insulin were less conclusive. CONCLUSIONS During the transition from work to retirement, increasing physical activity at the expense of passive behaviors was associated with a better lipid profile. Our findings suggest that life transitions like retirement could be utilized more as an optimal time window for promoting physical activity and health.
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Affiliation(s)
| | | | - Nidhi Gupta
- Department of Musculoskeletal Disorders and Physical Work Load, National Research Centre for the Working Environment, Copenhagen, DENMARK
| | - Lars L Andersen
- Department of Musculoskeletal Disorders and Physical Work Load, National Research Centre for the Working Environment, Copenhagen, DENMARK
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Poon ETC, Li HY, Gibala MJ, Wong SHS, Ho RST. High-intensity interval training and cardiorespiratory fitness in adults: An umbrella review of systematic reviews and meta-analyses. Scand J Med Sci Sports 2024; 34:e14652. [PMID: 38760916 DOI: 10.1111/sms.14652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND High-intensity interval training (HIIT) is characterized by repeated bouts of relatively intense exercise interspersed with recovery periods. Previous studies have evaluated this exercise strategy with various population subgroups, regimens, and comparator groups, limiting the generalizability of findings. We performed a novel umbrella review to generate an up-to-date synthesis of the available evidence regarding the effect of HIIT on cardiorespiratory fitness (CRF) in adults as compared to non-exercise control and traditional continuous forms of exercise such as moderate-intensity continuous training (MICT). METHODS An umbrella review was conducted in accordance with the Preferred Reporting Items for Overviews of Reviews guideline. Seven databases (MEDLINE, EMBASE, Cochrane Database, CINAHL, Scopus, SPORTDiscus, and Web of Science) were searched until February 2024. Systematic reviews with meta-analyses comparing HIIT and active/non-active control conditions were included. Literature search, data extraction, and methodological quality assessment (AMSTAR-2) were conducted independently by two reviewers. RESULTS Twenty-four systematic reviews with meta-analyses, representing 429 primary studies and 12 967 unique participants, met the inclusion criteria. Most of the systematic reviews received moderate-to-critically low AMSTAR-2 scores. The data showed that HIIT, including the particularly intense variant "sprint interval training" (SIT), significantly increases CRF in adults compared to non-exercise control (standardized mean difference [SMD]: 0.28 to 4.31; weighted mean difference [WMD]: 3.25 to 5.5 mL/kg/min) and MICT (SMD: 0.18 to 0.99; WMD: 0.52 to 3.76 mL/kg/min). This effect was consistently observed across specific groups of individuals (e.g., apparently healthy adults, individuals with overweight/obesity, older adults, and high-level athletes) and HIIT modalities (e.g., low-volume HIIT, whole-body HIIT, home-based HIIT, aquatic HIIT, and short SIT). CONCLUSION Existing evidence from systematic reviews consistently supports the effect of HIIT on enhancing CRF in adults when compared to non-exercise control and MICT. Our findings offer a comprehensive basis that may potentially contribute to informing physical activity guidelines aimed at improving CRF in the general population.
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Affiliation(s)
- Eric Tsz-Chun Poon
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Hong-Yat Li
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Martin J Gibala
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - Stephen Heung-Sang Wong
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Robin Sze-Tak Ho
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong
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Nordén KR, Semb AG, Dagfinrud H, Hisdal J, Sexton J, Fongen C, Bakke E, Ødegård S, Skandsen J, Blanck T, Metsios GS, Tveter AT. Effect of high-intensity interval training in physiotherapy primary care for patients with inflammatory arthritis: the ExeHeart randomised controlled trial. RMD Open 2024; 10:e003440. [PMID: 38242550 PMCID: PMC10806524 DOI: 10.1136/rmdopen-2023-003440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/25/2023] [Indexed: 01/21/2024] Open
Abstract
OBJECTIVES To assess the effect of high-intensity interval training (HIIT) delivered in physiotherapy primary care on the primary outcome of cardiorespiratory fitness (CRF) in patients with inflammatory arthritis (IA). Additionally, to explore the effects of HIIT on secondary outcomes, including cardiovascular disease (CVD) risk factors and disease activity. METHODS Single-blinded randomised controlled trial with 60 patients randomly assigned to either a control group receiving usual care or an exercise group receiving usual care and 12 weeks of individualised HIIT at 90%-95% peak heart rate. Outcomes were assessed at baseline, 3 months and 6 months post baseline and included CRF measured as peak oxygen uptake (VO2peak), classic CVD risk factors, disease activity, anthropometry and patient-reported physical activity, pain, fatigue, disease impact and exercise beliefs and self-efficacy. RESULTS Intention-to-treat analysis demonstrated a significant between-group difference in VO2peak at 3 months (2.5 mL/kg/min, 95% CI 0.9 to 4.0) and 6 months (2.6 mL/kg/min, 95% CI 0.8 to 4.3) in favour of the exercise group. A beneficial change in self-reported physical activity in favour of the exercise group was observed at 3 and 6 months. The HIIT intervention was well-tolerated with minimal adverse events and no apparent impact on disease activity. Differences in secondary outcomes related to CVD risk factors, disease impact, pain, fatigue and exercise beliefs and self-efficacy were generally small and non-significant. CONCLUSION After 12 weeks of supervised HIIT delivered in physiotherapy primary care, patients with IA demonstrated a favourable improvement in CRF, with sustained effects at 6-month follow-up. TRIAL REGISTRATION NUMBER NCT04922840.
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Affiliation(s)
- Kristine Røren Nordén
- Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Health Services Research and Innovation Unit, Diakonhjemmet Hospital, Oslo, Norway
| | - Anne Grete Semb
- Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - Hanne Dagfinrud
- Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Health Services Research and Innovation Unit, Diakonhjemmet Hospital, Oslo, Norway
| | - Jonny Hisdal
- Department of Vascular Surgery, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Joseph Sexton
- Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - Camilla Fongen
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Health Services Research and Innovation Unit, Diakonhjemmet Hospital, Oslo, Norway
| | - Emilie Bakke
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Health Services Research and Innovation Unit, Diakonhjemmet Hospital, Oslo, Norway
| | - Sigrid Ødegård
- Norwegian National Unit for Rehabilitation for Rheumatic Patients with Special Needs, Diakonhjemmet Hospital, Oslo, Norway
| | - Jon Skandsen
- Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - Thalita Blanck
- Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - George S Metsios
- Department of Nutrition and Dietetics, University of Thessaly, Volos, Greece
| | - Anne Therese Tveter
- Center for treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Health Services Research and Innovation Unit, Diakonhjemmet Hospital, Oslo, Norway
- Faculty of Health Sciences, Institute of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Akershus, Norway
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Gillet A, Forton K, Lamotte M, Macera F, Roussoulières A, Louis P, Ibrahim M, Dewachter C, van de Borne P, Deboeck G. Effects of High-Intensity Interval Training Using the 3/7 Resistance Training Method on Metabolic Stress in People with Heart Failure and Coronary Artery Disease: A Randomized Cross-Over Study. J Clin Med 2023; 12:7743. [PMID: 38137812 PMCID: PMC10743906 DOI: 10.3390/jcm12247743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023] Open
Abstract
The 3/7 resistance training (RT) method involves performing sets with increasing numbers of repetitions, and shorter rest periods than the 3x9 method. Therefore, it could induce more metabolic stress in people with heart failure with reduced ejection fraction (HFrEF) or coronary artery disease (CAD). This randomized cross-over study tested this hypothesis. Eleven individuals with HFrEF and thirteen with CAD performed high-intensity interval training (HIIT) for 30 min, followed by 3x9 or 3/7 RT according to group allocation. pH, HCO3-, lactate, and growth hormone were measured at baseline, after HIIT, and after RT. pH and HCO3- decreased, and lactate increased after both RT methods. In the CAD group, lactate increased more (6.99 ± 2.37 vs. 9.20 ± 3.57 mmol/L, p = 0.025), pH tended to decrease more (7.29 ± 0.06 vs. 7.33 ± 0.04, p = 0.060), and HCO3- decreased more (18.6 ± 3.1 vs. 21.1 ± 2.5 mmol/L, p = 0.004) after 3/7 than 3x9 RT. In the HFrEF group, lactate, pH, and HCO3- concentrations did not differ between RT methods (all p > 0.248). RT did not increase growth hormone in either patient group. In conclusion, the 3/7 RT method induced more metabolic stress than the 3x9 method in people with CAD but not HFrEF.
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Affiliation(s)
- Alexis Gillet
- Department of Cardiology, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium; (A.G.); (K.F.); (M.L.); (F.M.); (A.R.); (C.D.); (P.v.d.B.)
- Department of Physiotherapy, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium;
- Research Unit in Rehabilitation Sciences, Faculty of Motor Skills Science, Université Libre de Bruxelles, 1070 Brussels, Belgium;
| | - Kevin Forton
- Department of Cardiology, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium; (A.G.); (K.F.); (M.L.); (F.M.); (A.R.); (C.D.); (P.v.d.B.)
- Department of Physiotherapy, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium;
| | - Michel Lamotte
- Department of Cardiology, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium; (A.G.); (K.F.); (M.L.); (F.M.); (A.R.); (C.D.); (P.v.d.B.)
- Department of Physiotherapy, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium;
| | - Francesca Macera
- Department of Cardiology, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium; (A.G.); (K.F.); (M.L.); (F.M.); (A.R.); (C.D.); (P.v.d.B.)
| | - Ana Roussoulières
- Department of Cardiology, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium; (A.G.); (K.F.); (M.L.); (F.M.); (A.R.); (C.D.); (P.v.d.B.)
| | - Pauline Louis
- Department of Physiotherapy, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium;
| | - Malko Ibrahim
- Research Unit in Rehabilitation Sciences, Faculty of Motor Skills Science, Université Libre de Bruxelles, 1070 Brussels, Belgium;
| | - Céline Dewachter
- Department of Cardiology, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium; (A.G.); (K.F.); (M.L.); (F.M.); (A.R.); (C.D.); (P.v.d.B.)
- Laboratory of Physiology and Pharmacology, Faculty of Medicine, Université Libre de Bruxelles, 1070 Brussels, Belgium
| | - Philippe van de Borne
- Department of Cardiology, CUB Hôpital Erasme, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium; (A.G.); (K.F.); (M.L.); (F.M.); (A.R.); (C.D.); (P.v.d.B.)
| | - Gaël Deboeck
- Research Unit in Rehabilitation Sciences, Faculty of Motor Skills Science, Université Libre de Bruxelles, 1070 Brussels, Belgium;
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Coates AM, Joyner MJ, Little JP, Jones AM, Gibala MJ. A Perspective on High-Intensity Interval Training for Performance and Health. Sports Med 2023; 53:85-96. [PMID: 37804419 PMCID: PMC10721680 DOI: 10.1007/s40279-023-01938-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/12/2023] [Indexed: 10/09/2023]
Abstract
Interval training is a simple concept that refers to repeated bouts of relatively hard work interspersed with recovery periods of easier work or rest. The method has been used by high-level athletes for over a century to improve performance in endurance-type sports and events such as middle- and long-distance running. The concept of interval training to improve health, including in a rehabilitative context or when practiced by individuals who are relatively inactive or deconditioned, has also been advanced for decades. An important issue that affects the interpretation and application of interval training is the lack of standardized terminology. This particularly relates to the classification of intensity. There is no common definition of the term "high-intensity interval training" (HIIT) despite its widespread use. We contend that in a performance context, HIIT can be characterized as intermittent exercise bouts performed above the heavy-intensity domain. This categorization of HIIT is primarily encompassed by the severe-intensity domain. It is demarcated by indicators that principally include the critical power or critical speed, or other indices, including the second lactate threshold, maximal lactate steady state, or lactate turnpoint. In a health context, we contend that HIIT can be characterized as intermittent exercise bouts performed above moderate intensity. This categorization of HIIT is primarily encompassed by the classification of vigorous intensity. It is demarcated by various indicators related to perceived exertion, oxygen uptake, or heart rate as defined in authoritative public health and exercise prescription guidelines. A particularly intense variant of HIIT commonly termed "sprint interval training" can be distinguished as repeated bouts performed with near-maximal to "all out" effort. This characterization coincides with the highest intensity classification identified in training zone models or exercise prescription guidelines, including the extreme-intensity domain, anaerobic speed reserve, or near-maximal to maximal intensity classification. HIIT is considered an essential training component for the enhancement of athletic performance, but the optimal intensity distribution and specific HIIT prescription for endurance athletes is unclear. HIIT is also a viable method to improve cardiorespiratory fitness and other health-related indices in people who are insufficiently active, including those with cardiometabolic diseases. Research is needed to clarify responses to different HIIT strategies using robust study designs that employ best practices. We offer a perspective on the topic of HIIT for performance and health, including a conceptual framework that builds on the work of others and outlines how the method can be defined and operationalized within each context.
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Affiliation(s)
- Alexandra M Coates
- Department of Kinesiology, McMaster University, 1280 Main St West, Hamilton, ON, L8S 4K1, Canada
| | - Michael J Joyner
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
| | - Jonathan P Little
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Andrew M Jones
- Sport and Health Sciences, University of Exeter, Exeter, UK
| | - Martin J Gibala
- Department of Kinesiology, McMaster University, 1280 Main St West, Hamilton, ON, L8S 4K1, Canada.
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Yu H, Zhao X, Wu X, Yang J, Wang J, Hou L. High-intensity interval training versus moderate-intensity continuous training on patient quality of life in cardiovascular disease: a systematic review and meta-analysis. Sci Rep 2023; 13:13915. [PMID: 37626066 PMCID: PMC10457360 DOI: 10.1038/s41598-023-40589-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
This systematic review and meta-analysis aimed to compare the effects of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on the quality of life (QOL) and mental health (MH) of patients with cardiovascular disease (CVDs). Web of Science, Medline, Embase, Cochrane (CENTRAL), CINAHL, China National Knowledge Infrastructure, Wanfang, and China Science and Technology Journal databases were searched from their date of establishment to July, 2023. A total of 5798 articles were screened, of which 25 were included according to the eligibility criteria. The weighted mean difference (WMD) and standardized mean difference (SMD) were used to analyze data from the same and different indicator categories, respectively. The fixed-effects model (FE) or random-effects model (RE) combined data based on the between-study heterogeneity. There were no statistically significant differences regarding QOL, physical component summary (PCS), mental component summary (MCS), and MH, including depression and anxiety levels, between the HIIT and MICT groups [SMD = 0.21, 95% confidence interval (CI) - 0.18-0.61, Z = 1.06, P = 0.290; SMD = 0.10, 95% CI - 0.03-0.23, Z = 1.52, P = 0.128; SMD = 0.07, 95% CI - 0.05-0.20, Z = 1.13, P = 0.25; SMD = - 0.08, 95% CI - 0.40-0.25, Z = - 0.46, P = 0.646; WMD = 0.14. 95% CI - 0.56-0.84, Z = 0.39, P = 0.694, respectively]. HIIT significantly improved PCS in the coronary artery disease (CAD) population subgroup relative to MICT. HIIT was also significantly superior to MICT for physical role, vitality, and social function. We conclude that HIIT and MICT have similar effects on QOL and MH in patients with CVD, while HIIT is favorable for improving patients' self-perceived physiological functioning based on their status and social adjustment, and this effect is more significant in patients with CAD.
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Affiliation(s)
- Haohan Yu
- College of P.E and Sports, Beijing Normal University, Beijing, China
| | - Xudong Zhao
- College of P.E and Sports, Beijing Normal University, Beijing, China
| | - Xiaoxia Wu
- Department of respiratory and critical care medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jing Yang
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Jun Wang
- Faculty of Psychology, Beijing Normal University, Beijing, China.
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
| | - Lijuan Hou
- College of P.E and Sports, Beijing Normal University, Beijing, China.
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