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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Arthralgia in female Masters weightlifters

Authors: Huebner, Marianne;

Arthralgia in female Masters weightlifters

Abstract

OVERVIEW 1. Title of Dataset: Arthralgia in female Master weightlifters 2. Author Information Name: Marianne Huebner Institution: Michigan State University Address: East Lansing, MI 48824 3. Period of data collection: 27 April – 20 May 2022 4. Geographic region of data collection: Online survey in USA with participants from 30 countries in IWF regions Africa, Asia, Europe, Oceania, PanAmerican LIST OF FILES Dataset: wlmeno_oa.csv Data dictionary: wlmeno_oa_meta.xlsx METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: 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). 2. Methods for processing the data: Data were downloaded from Qualtrics (Provo, UT, USA) to Excel and then pre-processed in the statistical software R v. 4.3.0. (https://www.r-project.org) Variable formats (numeric, character) were checked and transformed, as appropriate. 3. Quality-assurance procedures performed on the data: 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. DATA-SPECIFIC INFORMATION 1.Number of variables: 51 2.Number of cases/rows: 868 3.Variable List: wlmeno_oa.xlsx 4.Missing data codes: empty cells

{"references": ["Huebner M, Lavallee ME. Arthralgia in female Masters weightlifters. BMC Musc Dis 2023"]}

Related Organizations
Keywords

osteoarthritis, aging, joint pain, menopause, Olympic-style weightlifting, women, arthralgia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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