Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes
Data were charted as part of a scoping review which followed the Joanna Briggs Institute (JBI) evidence synthesis guidelines and the Preferred Reporting Items for Systematic Reviews and Meta Analysis Scoping Review extension (PRISMA-SCr) guidelines. Data was extracted from 470 articles that met the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924002841 |
| _version_ | 1797237978423099392 |
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| author | Ciarán Purcell Ciara Duignan Brona Fullen Shiofra Ryan Tomás Ward Brian Caulfield |
| author_facet | Ciarán Purcell Ciara Duignan Brona Fullen Shiofra Ryan Tomás Ward Brian Caulfield |
| author_sort | Ciarán Purcell |
| collection | DOAJ |
| description | Data were charted as part of a scoping review which followed the Joanna Briggs Institute (JBI) evidence synthesis guidelines and the Preferred Reporting Items for Systematic Reviews and Meta Analysis Scoping Review extension (PRISMA-SCr) guidelines. Data was extracted from 470 articles that met the inclusion criteria for the scoping review; primary research articles of athletes where upper and/or lower limb pain since database inception.A draft data charting tool was developed by the research team and piloted for feasibility, accuracy and agreement. The charting tool was updated accordingly before being applied to the entire data set. Data collected included citation details, research context, participant information and pain assessment and classification tools, categories, and additional relevant information.The raw data set was filtered, and descriptive analysis of frequencies and counts were conducted.Researchers and clinicians interested in the range and applications of different pain assessment practices in athletes may reuse this data set. Data charting was comprehensive including aspects beyond the scope of the original research that offer clinical and research potential. These include information around recommended practice, (International Olympic Committee guidance) pain classifications and definitions and the use of multi-domain pain assessment tools. |
| first_indexed | 2024-04-24T17:28:20Z |
| format | Article |
| id | doaj.art-8fc2eae958d642558ae2e84c6153312f |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-24T17:28:20Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-8fc2eae958d642558ae2e84c6153312f2024-03-28T06:38:07ZengElsevierData in Brief2352-34092024-06-0154110315Dataset on comprehensive assessment & classification of upper & lower limb pain in athletesCiarán Purcell0Ciara Duignan1Brona Fullen2Shiofra Ryan3Tomás Ward4Brian Caulfield5School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland; Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin, Ireland; School of Allied Health, University of Limerick, Limerick, Ireland; Physical Activity for Health Research Cluster, Health Research Institute, University of Limerick, Limerick, Ireland; Sports and Human Performance Centre, University of Limerick, Limerick, Ireland; Ageing Research Centre, Health Research Institute, University of Limerick, Limerick, Ireland; Corresponding author.School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland; Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin, IrelandSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, IrelandSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland; Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin, IrelandInsight Centre for Data Analytics, School of Computing, Dublin City University, Dublin, IrelandSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland; Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin, IrelandData were charted as part of a scoping review which followed the Joanna Briggs Institute (JBI) evidence synthesis guidelines and the Preferred Reporting Items for Systematic Reviews and Meta Analysis Scoping Review extension (PRISMA-SCr) guidelines. Data was extracted from 470 articles that met the inclusion criteria for the scoping review; primary research articles of athletes where upper and/or lower limb pain since database inception.A draft data charting tool was developed by the research team and piloted for feasibility, accuracy and agreement. The charting tool was updated accordingly before being applied to the entire data set. Data collected included citation details, research context, participant information and pain assessment and classification tools, categories, and additional relevant information.The raw data set was filtered, and descriptive analysis of frequencies and counts were conducted.Researchers and clinicians interested in the range and applications of different pain assessment practices in athletes may reuse this data set. Data charting was comprehensive including aspects beyond the scope of the original research that offer clinical and research potential. These include information around recommended practice, (International Olympic Committee guidance) pain classifications and definitions and the use of multi-domain pain assessment tools.http://www.sciencedirect.com/science/article/pii/S2352340924002841SportPainAthletesAssessment |
| spellingShingle | Ciarán Purcell Ciara Duignan Brona Fullen Shiofra Ryan Tomás Ward Brian Caulfield Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes Data in Brief Sport Pain Athletes Assessment |
| title | Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes |
| title_full | Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes |
| title_fullStr | Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes |
| title_full_unstemmed | Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes |
| title_short | Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes |
| title_sort | dataset on comprehensive assessment amp classification of upper amp lower limb pain in athletes |
| topic | Sport Pain Athletes Assessment |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924002841 |
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