In the present study, we aimed to explore the effects of sleep restriction (SR) on self-reported golf putting skills. Eleven collegiate golfers participated in a self-reported, counterbalanced experimental study under two conditions: (a) a SR condition in which sleep on the night prior to putting was restricted to 4-5 hours, and (b) a habitual normal sleep (NS) condition on the night before the putting test. Following each sleep condition, participants engaged in ten consecutive putting tests at 7 am, 11 am, and 3 pm. Participants reported their subjective sleepiness before each time frame, and their chronotype, defined as their individual circadian preference, was scored based on a morningness-eveningness questionnaire (MEQ). Participants restricted sleep to an average period of 267.6 minutes/night ( = 51.2 in the SR condition and 426.2 ( =38.0) minutes/night in the NS condition. A two-way analysis of variance revealed a significant main effect of the sleep condition on the lateral displacement of putts from the target (lateral misalignment) ( = 0.002). In addition, there was a significant main effect of time on distance from the target (distance misalignment) ( = 0.017), indicating less accuracy of putting in the SR condition. In the SR condition, the MEQ score was positively correlated with distance misalignment at 3 pm ( = 0.650, = 0.030), suggesting that morningness types are susceptible to the effects of SR on putting performance. Our findings suggest that golfers should obtain sufficient sleep to optimize putting performance.

Download full-text PDF

Source
http://dx.doi.org/10.1177/00315125221087027DOI Listing

Publication Analysis

Top Keywords

putting performance
12
sleep condition
12
effects sleep
8
sleep restriction
8
restriction self-reported
8
putting
8
condition
8
distance misalignment
8
sleep
7
self-reported putting
4

Similar Publications

The dengue virus (DENV) is a mosquito-borne flavivirus endemic to many tropical and subtropical regions. Over the past few decades, the global incidence of dengue has risen dramatically, with the virus now present in over 100 countries, putting nearly half of the world's population at risk. This increase is attributed to several factors, including urbanization, climate change, and global travel, which facilitate the spread of both the virus and its mosquito vectors.

View Article and Find Full Text PDF

Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.

Int J Med Inform

December 2024

Neurosurgery Department, Hamad General Hospital, Qatar; Department of Clinical Academic Sciences, College of Medicine, Qatar University, Doha, Qatar; Department of Neurological Sciences, Weill Cornell Medicine, Doha, Qatar.

Introduction: Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, trust, security, and ethical governance. The development of these challenges is important for promoting the responsible adoption of AI technologies into healthcare systems.

View Article and Find Full Text PDF
Article Synopsis
  • The study aims to enhance carbon footprint management for power companies using artificial intelligence (AI) and big data to create effective carbon reduction strategies.
  • A carbon footprint calculation model is developed, employing machine learning to analyze emissions data, identify key factors, and explore reduction opportunities.
  • Using examples from China Electric Power Resources and Datang International Electric Power Company, the study evaluates carbon emission achievements and challenges and proposes a new carbon audit evaluation system based on the driver-state-response (DSR) model, contributing valuable insights for stakeholders in the energy sector.
View Article and Find Full Text PDF

When playing on an sloped golf course, the ball often misses the hole to the front-lower side, which is also referred to as the "amateur side." This can be attributed to the difficulty in perceiving the green slope and choosing the appropriate launch direction and ball speed, especially for amateurs. The study had three main objectives.

View Article and Find Full Text PDF

Background: The caries severity in childhood may predict caries conditions in the future and even in adulthood in caries risk models. Nevertheless, the rate of recurrent caries after treatment of severe early childhood caries is high and correlated with behavioural factors, rather than clinical indicators. Compliance with the caries control programme has been demonstrated to prevent root caries development in head and neck cancer patients, suggesting that compliance with treatment protocols is a more important key to bringing about successful outcomes than treatment protocols themselves.

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!