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ShareScore release 0.7.1
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20 results for “weightlifting”
Arthralgia in female Masters weightlifters
<p><strong>OVERVIEW</strong></p> <p>1. <strong>Title of Dataset:</strong> Arthralgia in female Master weightlifters</p> <p>2. <strong>Author Information</strong></p> <p>Name: Marianne Huebner<br> Institution: Michigan State University<br> Address: East Lansing, MI 48824</p> <p>3. <strong>Period of data collection:</strong> 27 April – 20 May 2022</p> <p>4. <strong>Geographic region of data collection:</strong> Online survey in USA with participants from 30 countries in IWF regions Africa, Asia, Europe, Oceania, PanAmerican</p> <p>LIST OF FILES</p> <p>Dataset: wlmeno_oa.csv<br> Data dictionary: wlmeno_oa_meta.xlsx</p> <p>METHODOLOGICAL INFORMATION</p> <p>1. <strong>Description of methods used for collection/generation of data:</strong> The survey was distributed by the Master Committee of the International Weightlifting Federation (IWF) to the National Master Chairs. They then used email or social media to communicate the study to the women weightlifters. The Survey was available in four languages (English, German, French, Spanish), translated and tested by native speakers. In addition, the survey was advertised in weightlifting interest groups via Facebook and Instagram. The survey was administered online via Qualtrics (Provo, UT, USA).</p> <p>2. <strong>Methods for processing the data:</strong> Data were downloaded from Qualtrics (Provo, UT, USA) to Excel and then pre-processed in the statistical software R v. 4.3.0. (<a href="https://www.r-project.org/">https://www.r-project.org</a>)</p> <p> Variable formats (numeric, character) were checked and transformed, as appropriate.</p> <p>3. <strong>Quality-assurance procedures performed on the data: </strong> Exclusion criteria were younger than 30 years (n=1), currently pregnant (n=3). To account for the possibility of male participants missing responses to age of menstruation or prior pregnancies (n=22), were also excluded. Since the focus was on active weightlifters, missing best snatch or clean and jerk in the last 6 months (n=18) were also exclusion criteria. This resulted in an analysis data set of 868 females. Univariate distributions were evaluated numerically and graphically. </p> <p>DATA-SPECIFIC INFORMATION</p> <p>1.<strong>Number of variables:</strong> 51</p> <p>2.<strong>Number of cases/rows:</strong> 868</p> <p>3.<strong>Variable List:</strong> wlmeno_oa.xlsx</p> <p>4.<strong>Missing data codes:</strong> empty cells</p>
Dataset for Urinary incontinence in female weightlifters
<p><strong>OVERVIEW</strong></p> <p><strong>Title of Dataset:</strong> Urinary incontinence in female weightlifters</p> <p><strong>Reference:</strong> doi: 10.1371/journal.pone.0278376. PMID: 36449558; PMCID: PMC9710785.</p> <p><strong>Author Information</strong></p> <p>Name: Marianne Huebner<br> Institution: Michigan State University<br> Address: East Lansing, MI 48824</p> <p><strong>Period of data collection:</strong> 27 April – 20 May 2022</p> <p><strong>Geographic region of data collection:</strong> Online survey in USA with participants from 29 countries in IWF regions Africa, Asia, Europe, Oceania, PanAmerican</p> <p><strong>LIST OF FILES</strong><br> Dataset: wlisi_zenodo.xlsx<br> Data dictionary: wlisi_meta.xlsx</p> <p><strong>METHODOLOGICAL INFORMATION</strong></p> <p><strong>Description of methods used for collection/generation of data:</strong> The survey was distributed by the Master Committee of the International Weightlifting Federation (IWF) to the National Master Chairs. They then used email or social media to communicate the study to the women weightlifters. The Survey was available in four languages (English, German, French, Spanish), translated and tested by native speakers. In addition, the survey was advertised in weightlifting interest groups via Facebook and Instagram. The survey was administered online via Qualtrics (Provo, UT, USA).</p> <p><strong>Methods for processing the data:</strong> Data were downloaded from Qualtrics (Provo, UT, USA) to Excel and then pre-processed in the statistical software R v. 4.0.3. (<a href="https://www.r-project.org">https://www.r-project.org</a>)</p> <p>Variable formats (numeric, character) were checked and transformed, as appropriate.</p> <p><strong>Data quality checks: </strong> Exclusion criteria were younger than 30 years (n=1), missing age (n=1), currently pregnant (n=3). To account for the possibility of male participants missing responses to age of menstruation or prior pregnancies (n=15), were also excluded. Since the focus was on competitive weightlifters, missing response to age of first competition (n=34) or no snatch or clean and jerk in the last 6 months (n=14) were also exclusion criteria. This resulted in an analysis data set of 824 women. Univariate distributions were evaluated numerically and graphically.</p> <p><strong>DATA-SPECIFIC INFORMATION</strong></p> <ol> <li><strong>Number of variables:</strong> 27</li> <li><strong>Number of cases/rows:</strong> 824</li> <li><strong>Variable List:</strong> wlisi_meta.xlsx</li> <li><strong>Missing data codes:</strong> NA</li> </ol>
Weightlifting injuries in master athletes
<p class="MsoNormal"><strong>Data collection:</strong> A total of 976 Masters weightlifters from Australia, Canada, Europe, and the USA, ages 35 to 88 (51.1% female), completed an online survey in June 2021 that included questions on weightlifting injuries, chronic diseases, sport history, and training practices. </p> <p class="MsoNormal"> </p> <p class="MsoNormal"><strong>Definition of injuries:</strong> <span>Injuries were defined in relation to participation to weightlifting, namely whether training restriction occurred due to acute injuries sustained during weightlifting.</span><span> The correspoding srurvey question was </span><span>"</span><em>Have you ever had training restrictions due to acute injuries sustained during or while performing weightlifting?" </em></p> <p class="MsoNormal"> </p> <p class="MsoNormal"><strong>Purpose of the data collection:</strong></p> <p class="MsoNormal">To quantify acute injuries sustained during weightlifting that result in training restrictions and identify potential risk factors or preventative factors in Master athletes. To evaluate potentially complex interactions of age, sex, health-related, and training-related predictors of injuries with machine learning algorithms. Ensembles of machine learning algorithms (<span>support vector machines, generalized boosted methods, random forests, one-layer neural network, and naïve Bayesian methods) were used for classification and prediction and compared to logistic regression models.</span></p>
Long-Hold Yielding Isometric Exercise for Patellar Tendinopathy in Weightlifting Athletes
ClinicalTrials.gov study NCT07361848. IPD Sharing: YES. Countries: 1. Publications: 2.
Weightlifting injuries in master athletes
Open the record for dataset details and reuse information.
Weightlifting during the COVID-19 pandemic—A transnational study regarding motivation, barriers, and coping of master athletes
<p></p><p>Sport has been heavily impacted by the pandemic for over a year with restrictions and closures of facilities. The main aims of this study are to identify motivation and barriers for an international group of Master weightlifters (ages 35 and up) and analyze age and gender differences in pandemic-related changes to physical activities. A sample of 1051 older athletes, 523 women and 528 men, aged from 35 to 88 years, from Australia, Canada, Europe, and the USA provided responses to an online survey conducted in June 2021. A confirmatory factor analysis was performed to examine age, gender, and regional differences about motivation, barriers, and pandemic impact on sport and physical activities. Participants showed enthusiasm for the opportunity to compete despite health challenges with increasing age but faced barriers due to access to training facilities and qualified coaches even before the pandemic. The oldest athletes had the greatest reduction in physical activities during the pandemic. Weightlifters had the opportunity to compete in virtual competitions and 44% would like to see some of these continued in the future, especially women. These findings highlight the benefits of competitive sports and may provide future directions in strength sports for organizations, sports clubs, and coaches.</p><p></p>
Theragun vs Dry Needling on Neck Pain, Range of Motion and Disability Among Heavy Weightlifters
ClinicalTrials.gov study NCT06240975. IPD Sharing: NO. Countries: 1. Publications: 8.
Aquatic Exercises VS Core Strengthening on Disability, Flexibility and Postural Stability in Weightlifters.
ClinicalTrials.gov study NCT06131138. IPD Sharing: NO. Countries: 1. Publications: 5.
Effects of Plyometric Training and Eccentric Muscle Training on Functional Performance in Weightlifters
ClinicalTrials.gov study NCT05915819. IPD Sharing: NO. Countries: 1. Publications: 15.
Effects of Lumbosacral Chiropractic on the Olympic Style Weightlifting Athletes
ClinicalTrials.gov study NCT04668729. IPD Sharing: NO. Countries: 1. Publications: 9.
Pomegranate Improve Biological Recovery Kinetics in Elite Weightlifter
ClinicalTrials.gov study NCT02697903. IPD Sharing: YES. Countries: 1. Publications: 3.
Performance and Hormonal Responses to Different Training Modalities in Young Weightlifters: A Randomised Controlled Trial
ClinicalTrials.gov study NCT07088627. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effects of Cervical and Thoracic Manipulation Therapy Applied to Weightlifting Athletes
ClinicalTrials.gov study NCT06606795. IPD Sharing: NO. Countries: 1. Publications: 6.
Neuromuscular Variables and Performance in Mexican Weightlifters
ClinicalTrials.gov study NCT07277335. IPD Sharing: NO. Countries: 1. Publications: 3.
Weightlifting during the COVID-19 pandemic—A transnational study regarding motivation, barriers, and coping of master athletes
Open the record for dataset details and reuse information.
The sonic instructor: a music-based biofeedback system for improving weightlifting technique
<p>Crossfit_audio.zip = Ableton project containing the music file and the Max4Live patch controlling sonification.</p> <p>all_participants_data.zip = raw .txt files for all participants </p> <p>questionnaires.zip = print screen of questionnaires google forms</p>
Weightlifting Belts and Wrist Straps for Weightlifters
ClinicalTrials.gov study NCT05178394. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of K-Taping and Yoga Therapy in Postural Correction for Sacroiliac Jointamong Weightlifters
ClinicalTrials.gov study NCT07037173. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of the Kinesio Tape on the Muscle Power Performance of Elite Weightlifters
ClinicalTrials.gov study NCT03327090. IPD Sharing: NO. Countries: 1. Publications: 0.
Functional and Performance Effects of a 4-week Weightlifting Program in Highly Trained Adolescent Basketball Athletes
ClinicalTrials.gov study NCT05824780. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.