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327998

Predictive Models for Musculoskeletal injuries for swimmers in Jordan

Article

Last updated: 04 Jan 2025

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Tags

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Abstract

This study is the first of its kind to investigate musculoskeletal injuries in Jordanian swimmers. It aimed to identify common sports injuries in male and female swimmers aged 18 to 25 in Jordan. The research involved 173 participants affiliated with the Jordanian Swimming Federation, using correlation and regression analysis. The study explored the intricate relationship between the age of starting swimming, training routines, and competitive involvement. It revealed negative correlations between the age of initiation and various performance measures, indicating that starting swimming at a younger age is associated with increased competition participation, more training time, and longer training distances. Furthermore, a strong negative correlation was observed between the number of competitions and weekly training time, suggesting that more competitions require more training. Conversely, a positive correlation was found between weekly training distance and training time, indicating that longer training sessions cover greater distances. It's important to note that these correlations do not imply causation, and other factors may contribute. Regression analysis revealed that the selected independent variables significantly influenced the prediction of swimming injuries, explaining around 37.3% of the variability. The number of competitions emerged as the most influential factor, negatively impacting injury prediction, meaning that more competitions were associated with fewer injuries. Additionally, variables like weekly training time, weekly training distance, and the age of starting swimming positively affected injury prediction. The study presented a predictive equation for estimating swimmers' injuries, providing valuable insights for injury prevention and athlete well-being.

DOI

10.21608/jass.2023.246310.1097

Keywords

injury, Correlation analysis, Regression Analysis, Swimmers, Jordan

Authors

First Name

Mahmoud

Last Name

momani

MiddleName

-

Affiliation

Faculty of Health Sciences and Well-Being ,School of Nursing and Health Studies University of Sunderland

Email

sanaa.owdat@yu.edu.jo

City

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Orcid

-

Volume

13

Article Issue

2

Related Issue

41797

Issue Date

2023-12-01

Receive Date

2023-11-03

Publish Date

2023-12-01

Page Start

30

Page End

38

Print ISSN

2357-0024

Online ISSN

2357-0059

Link

https://jassalexu.journals.ekb.eg/article_327998.html

Detail API

https://jassalexu.journals.ekb.eg/service?article_code=327998

Order

6

Type

Original Article

Type Code

1,203

Publication Type

Journal

Publication Title

Journal of Applied Sports Science

Publication Link

https://jassalexu.journals.ekb.eg/

MainTitle

Predictive Models for Musculoskeletal injuries for swimmers in Jordan

Details

Type

Article

Created At

25 Dec 2024