Maximal inspiratory mouth pressure in Japanese elite female athletes.

Respir Physiol Neurobiol

Department of Sports Science, Japan Institute of Sports Science, 3-15-1 Nishigaoka, Kita-ku, Tokyo 115-0056, Japan.

Published: April 2017

Maximal inspiratory mouth pressure (MIP) is a common measurement of inspiratory muscle strength, which is often used in a variety of exercises to evaluate the effects of inspiratory muscle training. The characteristics of MIP in elite female athletes remain unclear. This study aimed to determine the characteristics of MIP at rest in a variety of sport-specific elite female athletes. We also aimed to clarify if there is a sex difference of MIP in elite athletes. We studied 169 Japanese elite female athletes and 301 Japanese elite male athletes. MIP was assessed using a portable autospirometer with a handheld mouth pressure meter. Female athletes who regularly experienced exercise-induced inspiratory muscle fatigue tended to have higher MIP values. The mean absolute MIP value in females was significantly lower than that in males. However, when this value was expressed relative to body mass, this difference disappeared. Our findings provide essential information for prescribed, sport-specific, inspiratory muscle training in elite female athletes.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.resp.2017.01.005DOI Listing

Publication Analysis

Top Keywords

female athletes
24
elite female
20
inspiratory muscle
16
mouth pressure
12
japanese elite
12
maximal inspiratory
8
inspiratory mouth
8
athletes
8
muscle training
8
characteristics mip
8

Similar Publications

Foot strike patterns influence vertical loading rates during running. Running retraining interventions often include switching to a new foot strike pattern. Sudden changes in the foot strike pattern may be uncomfortable and may lead to higher step-to-step variability.

View Article and Find Full Text PDF

This study investigated the relationship between stepping-defined daily activity levels, time spent in different postures, and the patterns and intensities of stepping behaviour. Using a thigh-mounted triaxial accelerometer, physical activity data from 3547 participants with seven days of valid data were analysed. We classified days based on step count and quantified posture and stepping behaviour, distinguishing between indoor, community, and recreation stepping.

View Article and Find Full Text PDF

Mobility tasks like the Timed Up and Go test (TUG), cognitive TUG (cogTUG), and walking with turns provide insights into the impact of Parkinson's disease (PD) on motor control, balance, and cognitive function. We assess the test-retest reliability of these tasks in 262 PD participants and 50 controls by evaluating machine learning models based on wearable-sensor-derived measures and statistical metrics. This evaluation examines total duration, subtask duration, and other quantitative measures across two trials.

View Article and Find Full Text PDF

This study investigated muscle activation, shocks, and vibrations of the upper extremities during tennis serves between junior and adult tennis players. Thirty-five well-trained tennis players (15 juniors and 20 adults) performed 10 maximal successful tennis serves. Two triaxial accelerometers recorded the shock and vibration on the racket and the hand on the dominant side.

View Article and Find Full Text PDF

Wearable System Applications in Performance Analysis of RaceRunning Athletes with Disabilities.

Sensors (Basel)

December 2024

School of Sport and Physical Activity, College of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield S10 2BP, UK.

RaceRunning is a sport for disabled people and successful performance depends on reducing the amount of time spent travelling a specific distance. Performance analysis in RaceRunning athletes is based on traditional methods such as recording race time, distances travelled and frequency (sets and reps) that are not sufficient for monitoring training loads. The aims of this study were to monitor training loads in typical training sessions and evaluate technical adaptations in RaceRunning performance by acquiring sensor metrics.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!