Jump rope training effects on health- and sport-related physical fitness in young participants: A systematic review with meta-analysis.
Utkarsh SinghAkhilesh Kumar RamachandranRodrigo Ramírez-CampilloAlejandro Perez-CastillaJosé AfonsoFilipe Manuel ClementeJon OliverPublished in: Journal of sports sciences (2022)
The aim of this systematic review with meta-analysis was to assess the available body of published peer-reviewed articles related on the effects of jump rope training (JRT) compared with active/passive controls on health- and sport-related physical fitness outcomes. Searches were conducted in three databases, including studies that satisfied the following criteria: i) healthy participants; ii) a JRT programprogramme; iii) active or traditional control group; iv) at least one measure related to health- and sport-related physical fitness; v) multi-arm trials. The random-effects model was used for the meta-analyses. Twenty-one moderate-high quality (i.e., PEDro scale) studies were meta-analysed, involving 1,021 participants (male, 50.4%). Eighteen studies included participants with a mean age <18 years old. The duration of the JRT interventions ranged from 6 to 40 weeks. Meta-analyses revealed improvements (i.e., p = 0.048 to <0.001; ES = 0.23-1.19; I 2 = 0.0-76.9%) in resting heart rate, body mass index, fat mass, cardiorespiratory endurance, lower- and upper-body maximal strength, jumping, range of motion, and sprinting. No significant JRT effects were noted for systolic-diastolic blood pressure, waist-hip circumference, bone or lean mass, or muscle endurance. In conclusion, JRT, when compared to active and passive controls, provides a range of small-moderate benefits that span health- and sport-related physical fitness outcomes.
Keyphrases
- heart rate
- blood pressure
- body mass index
- public health
- healthcare
- meta analyses
- high intensity
- heart rate variability
- left ventricular
- skeletal muscle
- health information
- randomized controlled trial
- resistance training
- risk assessment
- metabolic syndrome
- machine learning
- hypertensive patients
- body composition
- blood glucose
- single cell
- drug induced
- body weight
- insulin resistance
- high speed
- preterm birth
- climate change