scholarly journals Can high-intensity interval training improve mental health outcomes in the general population and those with physical illnesses? A systematic review and meta-analysis

2021 ◽  
pp. bjsports-2021-103984
Author(s):  
Rebecca Martland ◽  
Nicole Korman ◽  
Joseph Firth ◽  
Davy Vancampfort ◽  
Trevor Thompson ◽  
...  
Keyword(s):  
Mental Health ◽  
General Population ◽  
Meta Analysis ◽  
Interval Training ◽  
Well Being ◽  
High Intensity Interval Training ◽  
High Intensity Interval ◽  
Mental Health Effects ◽  
Mental Well Being ◽  
Active Controls

ObjectiveHigh-intensity interval training (HIIT) is a safe and feasible form of exercise. The aim of this meta-analysis was to investigate the mental health effects of HIIT, in healthy populations and those with physical illnesses, and to compare the mental health effects to non-active controls and other forms of exercise.DesignRandom effects meta-analyses were undertaken for randomised controlled trials (RCTs) comparing HIIT with non-active and/or active (exercise) control conditions for the following coprimary outcomes: mental well-being, symptoms of depression, anxiety and psychological stress. Positive and negative affect, distress and sleep outcomes were summarised narratively.Data sourcesMedline, PsycINFO, Embase and CENTRAL databases were searched from inception to 7 July 2020.Eligibility criteria for selecting studiesRCTs that investigated HIIT in healthy populations and/or those with physical illnesses and reported change in mental well-being, depression, anxiety, psychological stress, positive/negative affect, distress and/or sleep quality.ResultsFifty-eight RCTs were retrieved. HIIT led to moderate improvements in mental well-being (standardised mean difference (SMD): 0.418; 95% CI: 0.135 to 0.701; n=12 studies), depression severity (SMD: –0.496; 95% CI: −0.973 to −0.020; n=10) and perceived stress (SMD: −0.474; 95% CI: −0.796 to −0.152; n=4) compared with non-active controls, and small improvements in mental well-being compared with active controls (SMD:0.229; 95% CI: 0.054 to 0.403; n=12). There was a suggestion that HIIT may improve sleep and psychological distress compared with non-active controls: however, these findings were based on a small number of RCTs.ConclusionThese findings support the use of HIIT for mental health in the general population.Level of evidenceThe quality of evidence was moderate-to-high according to the Grading of Recommendations Assessment, Development and Evaluation) criteria.PROSPERO registration numberCRD42020182643

scholarly journals Fitness tracking reveals task-specific associations between memory, mental health, and exercise

2021 ◽  
Author(s):  
Jeremy R Manning ◽  
Gina M Notaro ◽  
Esme Chen ◽  
Paxton C Fitzpatrick
Keyword(s):  
Mental Health ◽  
Memory Performance ◽  
Interval Training ◽  
Well Being ◽  
Self Report ◽  
Short And Long Term ◽  
Fitness Tracking ◽  
High Intensity Interval ◽  
Arm Strength ◽  
Mental Well Being

Physical exercise can benefit both physical and mental well-being. Different forms of exercise (i.e., aerobic versus anaerobic; running versus walking, swimming, or yoga; high-intensity interval training versus endurance workouts; etc.) impact physical fitness in different ways. For example, running may substantially impact leg and heart strength but only moderately impact arm strength. We hypothesized that the mental benefits of exercise might be similarly differentiated. We focused specifically on how different forms of exercise might related to different aspects of memory and mental health. To test our hypothesis, we collected (in aggregate) roughly a century's worth of fitness data. We then asked participants to fill out surveys asking them to self-report on different aspects of their mental health. We also asked participants to engage in a battery of memory tasks that tested their short and long term episodic, semantic, and spatial memory performance. We found that participants with similar exercise habits and fitness profiles tended to also exhibit similar mental health and task performance profiles. These effects were task-specific in that different exercise patterns or fitness characteristics varied with different aspects of memory, on different tasks.

scholarly journals High-Intensity Interval Training for Cognitive and Mental Health in Adolescents

2016 ◽  
Vol 48 (10) ◽  
pp. 1985-1993 ◽  
Author(s):  
SARAH A. COSTIGAN ◽  
NARELLE EATHER ◽  
RONALD C. PLOTNIKOFF ◽  
CHARLES H. HILLMAN ◽  
DAVID R. LUBANS
Keyword(s):  
Mental Health ◽  
High Intensity ◽  
Interval Training ◽  
High Intensity Interval Training ◽  
High Intensity Interval

High-Intensity Interval Training and Cardiometabolic Risk Factors in Children: A Meta-analysis

PEDIATRICS ◽  
2021 ◽  
Vol 148 (4) ◽  
pp. e2021050810
Author(s):  
Monserrat Solera-Martínez ◽  
Ángel Herraiz-Adillo ◽  
Ismael Manzanares-Domínguez ◽  
Lidia Lucas De La Cruz ◽  
Vicente Martínez-Vizcaíno ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Intensity ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Interval Training ◽  
Cardiometabolic Risk Factors ◽  
High Intensity Interval Training ◽  
High Intensity Interval

scholarly journals Effects of High-Intensity Interval Training on Sleep: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 18 (20) ◽  
pp. 10973
Author(s):  
Leizi Min ◽  
Dizhi Wang ◽  
Yanwei You ◽  
Yingyao Fu ◽  
Xindong Ma
Keyword(s):  
Sleep Quality ◽  
High Intensity ◽  
Meta Analysis ◽  
Interval Training ◽  
Mean Difference ◽  
Favorable Effect ◽  
Control Group ◽  
Cochrane Central Register ◽  
High Intensity Interval Training ◽  
High Intensity Interval

Objectives: To use a quantitative approach to examine the effects of high-intensity interval training (HIIT) interventions on sleep for adults. Methods: PubMed, Ebsco, Web of Science, Cochrane Central Register of Controlled Trials, the China National Knowledge Infrastructure, and Wanfang Data were searched from their inception to December 2020. Intervention studies with a control group that examined the effects of HIIT interventions on sleep were included in this meta-analysis. The risk of bias was assessed using the tool provided by the Cochrane Handbook for Systematic Reviews of Interventions. Effect sizes (ESs), calculated as weighted mean difference (WMD) and standardized mean difference (SMD), were used to examine the effects of objective outcomes and subjective outcomes separately. Results: A large increase in sleep quality (SQ) reflected by the Pittsburgh Sleep Quality Index global scores [WMD = −0.90, 95%CI (−1.72, −0.07), p = 0.03, n = 8] and a small-to-medium favorable effect on sleep efficiency (SE) [SMD = 0.43, 95%CI (0.20, 0.65), p = 0.0002, n = 10] were found after HIIT intervention. In addition, sub-analyses results suggest that ESs were moderated by the type, duration and frequency, as well as the length of the HIIT intervention. Conclusions: HIIT may be a promising way to improve overall subjective SQ and objective SE. PROSPERO, protocol registration number: CRD42021241734.

Sign in / Sign up

Export Citation Format

Share Document