Sara A Harper, Frederick J Peters, Brandon S Pollock, Keith Burns, John McDaniel, Angela L Ridgel
Introduction: Our objective was to design an eccentric bicycle design to elicit delayed onset muscle soreness (DOMS).
Methods: To assess the bicycle designs' ability to elicit DOMS, fourteen, recreationally active, males performed five-minutes of eccentric bicycling at 50% of their individualized power determined from a modified six-second Wingate test. Outcome measures to assess DOMS included the Likert pain scale, creatine kinase, lactate blood concentration, and pressure algometry detection evaluated at four time points (baseline (before the eccentric bicycling), immediate post, 24 hours post, and 48 hours post).
Results: The Likert pain scale was different (F = 75.88, p < 0.001) at baseline (0.14 ± 0.36) and immediate post (0.21 ± 0.43), compared to 24 hours post (3.07 ± 0.83), and 48 hours post (2.93 ± 1.07). No changes were reported for creatine kinase (F = 0.7167, p = 0.475), lactate blood concentration (F = 2.313, p = 0.107), or pressure algometry detection.
Conclusions: To understand mechanisms of DOMS, there is a need for a consistent, reliable method for producing DOMS. Our eccentric bicycle design and protocol offers an alternative approach to previous eccentric ergometer designs - demonstrating the potential to elicit DOMS in one, five-minute session.
{"title":"Design of an eccentric recumbent ergometer to elicit delayed onset muscle soreness.","authors":"Sara A Harper, Frederick J Peters, Brandon S Pollock, Keith Burns, John McDaniel, Angela L Ridgel","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Introduction: </strong>Our objective was to design an eccentric bicycle design to elicit delayed onset muscle soreness (DOMS).</p><p><strong>Methods: </strong>To assess the bicycle designs' ability to elicit DOMS, fourteen, recreationally active, males performed five-minutes of eccentric bicycling at 50% of their individualized power determined from a modified six-second Wingate test. Outcome measures to assess DOMS included the Likert pain scale, creatine kinase, lactate blood concentration, and pressure algometry detection evaluated at four time points (baseline (before the eccentric bicycling), immediate post, 24 hours post, and 48 hours post).</p><p><strong>Results: </strong>The Likert pain scale was different (F = 75.88, p < 0.001) at baseline (0.14 ± 0.36) and immediate post (0.21 ± 0.43), compared to 24 hours post (3.07 ± 0.83), and 48 hours post (2.93 ± 1.07). No changes were reported for creatine kinase (F = 0.7167, p = 0.475), lactate blood concentration (F = 2.313, p = 0.107), or pressure algometry detection.</p><p><strong>Conclusions: </strong>To understand mechanisms of DOMS, there is a need for a consistent, reliable method for producing DOMS. Our eccentric bicycle design and protocol offers an alternative approach to previous eccentric ergometer designs - demonstrating the potential to elicit DOMS in one, five-minute session.</p>","PeriodicalId":74674,"journal":{"name":"Research Directs in health sciences","volume":"1 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341543/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9345207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1249/01.mss.0000519036.63655.29
A. Newton, E. Glickman, Curtis Fennell, J. Gunstad, Jacob E. Barkley
Introduction: Wearable physical activity monitors are popular and may provide a more accurate data than subjective methods. The present study assessed the validity of a novel, low-cost wearable physical activity monitor (Movband 3) relative to established measures. Methods: Participants (N = 19) completed four treadmill stages (1.5, 3.0, 4.0, 6.0 MPH) while wearing the Movband 3 and the validated Actigraph GT1M monitor. Oxygen consumption (VO2 ml/kg/min) and heart rate (beats/min) were recorded. The relationship between Movband data and established measures was assessed via Pearson’s correlations. Tests of agreement were performed for actual and Movband miles traveled. Results: There were large, positive, significant (p < 0.001) effect sizes for the associations between Movband counts and Actigraph counts (r = 0.72), VO2 (r = 0.59), and heart rate (r = 0.63). There was also a large, positive, significant (p < 0.001) association between actual and Movband miles (r = 0.97). However, the difference (Δ) between Movband and actual miles was greater than a null hypothesis of zero (∆ = 0.77 ± 0.45 miles or 31.8%, t = 7.4, p < 0.001). Conclusion: While there was evidence to support the validity of the Movband 3 for the assessment of physical activity intensity this device did not provide an accurate measure of miles traveled.
{"title":"The Validity of a Novel Low-Cost, Wearable Physical Activity Monitor in a Laboratory Setting","authors":"A. Newton, E. Glickman, Curtis Fennell, J. Gunstad, Jacob E. Barkley","doi":"10.1249/01.mss.0000519036.63655.29","DOIUrl":"https://doi.org/10.1249/01.mss.0000519036.63655.29","url":null,"abstract":"Introduction: Wearable physical activity monitors are popular and may provide a more accurate data than subjective methods. The present study assessed the validity of a novel, low-cost wearable physical activity monitor (Movband 3) relative to established measures.\u0000Methods: Participants (N = 19) completed four treadmill stages (1.5, 3.0, 4.0, 6.0 MPH) while wearing the Movband 3 and the validated Actigraph GT1M monitor. Oxygen consumption (VO2 ml/kg/min) and heart rate (beats/min) were recorded. The relationship between Movband data and established measures was assessed via Pearson’s correlations. Tests of agreement were performed for actual and Movband miles traveled. \u0000Results: There were large, positive, significant (p < 0.001) effect sizes for the associations between Movband counts and Actigraph counts (r = 0.72), VO2 (r = 0.59), and heart rate (r = 0.63). There was also a large, positive, significant (p < 0.001) association between actual and Movband miles (r = 0.97). However, the difference (Δ) between Movband and actual miles was greater than a null hypothesis of zero (∆ = 0.77 ± 0.45 miles or 31.8%, t = 7.4, p < 0.001).\u0000Conclusion: While there was evidence to support the validity of the Movband 3 for the assessment of physical activity intensity this device did not provide an accurate measure of miles traveled. ","PeriodicalId":74674,"journal":{"name":"Research Directs in health sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1249/01.mss.0000519036.63655.29","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49075852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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