Examination of naturally occurring respiration during postural challenges may increase our understanding of the factors linking respiration to lumbar segmental control. This study determined if the timing and magnitude of inhaled volume changes were related to mechanical events that challenge spinal stability during a tiptoe task. Thirty healthy individuals (15 male) had airflow recorded while they completed a tiptoe task which involved: moving onto tiptoe while reaching toward a hanging target (ascent); grasping and holding the target while maintaining the tiptoe position for 3 s (hold); and then returning to the start position (descent). The rate of airflow and amount of inhaled volume (normalized to vital capacity (%VC)) were identified at 13 different intervals spanning the ascent, hold and descent phase. Using repeated measures analysis of variance, significant main effects were identified for both rate of airflow (p < 0.001) and %VC (p < 0.001). Exploration of these main effects revealed that individuals tended to inspire and increase %VC during the ascent phase, hold their breath and maintain %VC during the hold phase when whole body balance is challenged, and exhale during the descent phase. These findings are congruent with theories suggesting that breath control is linked in predictable ways to potentially improve lumbar spine stiffness when presented with mechanical challenges during functional tasks.
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http://dx.doi.org/10.3109/09593985.2013.834527 | DOI Listing |
The temporal characterization of a laser pulse is an important task in studying ultrafast laser-matter interactions. It is ideal to measure the temporal profile of the laser pulse with a single laser shot when the repetition rate is low or its interaction with matter is unstable. Here we report a new approach for the single-shot temporal characterization of a laser pulse, based on the TIPTOE (tunneling ionization with a perturbation of the time-domain observation of an electric field) method.
View Article and Find Full Text PDFGait Posture
February 2024
Faculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan; Institute of Advanced Research for Sport and Health Science, Ritsumeikan University, Japan.
Background: Minimizing postural sway during tiptoe standing is essential for ballet dancers. Investigation of the activity of the plantar intrinsic foot muscles (PIFMs) may provide insight into postural sway in dancers. Herein, we compared PIFM activity during tiptoe standing between dancers and non-dancers and examined its relationship with postural sway.
View Article and Find Full Text PDFEur J Midwifery
July 2023
Faculty of Health Sciences, University of Stavanger, Stavanger, Norway.
Introduction: Alcohol consumption has increased in recent years, including among women of childbearing age. A woman's alcohol intake during pregnancy is linked to complications and injuries in the newborn, and the risk of the child being harmed by the mother's alcohol use increases in proportion to the amount of alcohol she consumes. This meta-ethnography aims to explore midwives' and other healthcare providers' experiences of screening pregnant women for alcohol use in pregnancy and counselling them on the subject.
View Article and Find Full Text PDFJ Sci Med Sport
August 2022
Research Institute for Sport and Exercise, University of Canberra, Australia.
Objectives: The Active Early Learning intervention was designed to support childcare educators to imbed physical literacy promoting activities into the daily childcare curriculum. The objective of this study was to determine whether this physical literacy intervention had any influence on motor skill development.
Design: 22-week stratified cluster randomised controlled trial.
Parkinsonism Relat Disord
January 2021
Chulalongkorn Centre of Excellence for Parkinson's Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, 10330, Thailand; The Academy of Science, The Royal Society of Thailand, Bangkok, 10330, Thailand. Electronic address:
Background: Although risk factors that lead to falling in Parkinson's disease (PD) have been previously studied, the established predictors are mostly non-modifiable. A novel method for fall risk assessment may provide more insight into preventable high-risk activities to reduce future falls.
Objectives: To explore the prediction of falling in PD patients using a machine learning-based approach.
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