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        <doi type="journal_article">10.31254/sportmed.9101</doi>
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                <full_title>International Journal of Sport, Exercise and Health Research</full_title>
                <abbrev_title>Int. J. Sport Exerc. Health Res.</abbrev_title>
                <issn media_type="electronic">25814923</issn>
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                  <doi>10.31254/sportmed</doi>
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                  <month>09</month>
                  <day>11</day>
                  <year>2025</year>
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                  <volume>9</volume>
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                <issue>1</issue>
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                  <title>The Effects of Self-Driving Treadmill Training on Running Performance: A Retrospective Analysis</title>
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                  <person_name sequence="first" contributor_role="author">
                    <given_name>Victor</given_name>
                    <surname>Victor Romano</surname>
                    <ORCID>https://orcid.org/0009-0007-4358-4164</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Kaitlyn</given_name>
                    <surname>D’Annibale</surname>
                    <ORCID>https://orcid.org/0000-0003-0537-1372</ORCID>
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                  <jats:p>Background: Sprint speed is a critical factor in the performance of collegiate soccer players. While various training methods exist to improve sprinting ability, self-driving treadmills may offer a unique and effective approach. This study aimed to explore the effects of self-driving treadmill training on sprint speed in female NCAA Division II soccer players. Methods: A retrospective, observational analysis was conducted using data from 29 female collegiate soccer players who completed a minimum of 3, 5-second resisted sprints per session, with sessions ranging from 2 to 5 times per week over 3 weeks. Sprint speed was measured using GPS tracking, and data analysis was performed using descriptive statistics, independent t-tests, and Pearson’s correlation to assess relationships between training volume and sprint speed. Results: On average, participants completed 4.67 ± 5.00 training sessions, with an average top sprint speed of 20.34 ± 1.29 mph. A statistically significant correlation was observed between the number of training sessions and performance metrics such as work rate, hard running distances, and sprint frequency. However, no significant improvement was found in top speed (p = 0.24752). Conclusion: The findings suggest that while increased training volume improves work rate, sprint frequency, and hard running distances, it does not significantly affect top sprint speed. Tailored training approaches focusing on maximal velocity may be necessary to enhance top speed. These results provide insights into speed training interventions and suggest areas for future research and practical application in training programs.</jats:p>
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                  <month>09</month>
                  <day>11</day>
                  <year>2025</year>
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                  <first_page>1</first_page>
                  <last_page>4</last_page>
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                  <doi>10.31254/sportmed.9101</doi>
                  <resource>https://www.sportscienceresearch.com/IJSEHR_202591_01.pdf</resource>
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