Pub Date : 2020-07-31DOI: 10.1249/01.mss.0000682544.25694.1e
T. Chandy, N. Webborn, Rhodri Martin
{"title":"The Medical Demands On The Multidisciplinary Team Of Team UK At The 2018 Invictus Games","authors":"T. Chandy, N. Webborn, Rhodri Martin","doi":"10.1249/01.mss.0000682544.25694.1e","DOIUrl":"https://doi.org/10.1249/01.mss.0000682544.25694.1e","url":null,"abstract":"","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75540440","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000671440.03714.da
R. Otterstetter, Mackenzie Conrad, Mallory S. Kobak, B. Miller, J. Juvancic-Heltzel
relationship with deception as a belief about the cause of sport success. Age comparisons showed 13-14 and 15-18 year old age groups had significantly higher ego orientation than the 11-12 age group, the 15-18 age group having a significantly lower task orientation than both the 11-12 and 13-14 age groups. The 13-14 age group attributed deception to success in swimming significantly more than the 11-12 age group. CONCLUSION: Older swimmers develop a higher ego orientation and lower task orientation due to more visible differences in ability and an increased focus on performance.
{"title":"Ironic Process Theory In Softball Pitching: How Knowing Information About An Opponent’s Strengths Affects Performance","authors":"R. Otterstetter, Mackenzie Conrad, Mallory S. Kobak, B. Miller, J. Juvancic-Heltzel","doi":"10.1249/01.mss.0000671440.03714.da","DOIUrl":"https://doi.org/10.1249/01.mss.0000671440.03714.da","url":null,"abstract":"relationship with deception as a belief about the cause of sport success. Age comparisons showed 13-14 and 15-18 year old age groups had significantly higher ego orientation than the 11-12 age group, the 15-18 age group having a significantly lower task orientation than both the 11-12 and 13-14 age groups. The 13-14 age group attributed deception to success in swimming significantly more than the 11-12 age group. CONCLUSION: Older swimmers develop a higher ego orientation and lower task orientation due to more visible differences in ability and an increased focus on performance.","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73489510","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000678560.14512.db
L. Porto, Wélere G B Silveira, G. E. Molina, E. Soares, D. Martin, C. Christophi, S. Kales
{"title":"Predictors Of Physical Activity Level Among Brazilian Military Law Enforcement Personnel","authors":"L. Porto, Wélere G B Silveira, G. E. Molina, E. Soares, D. Martin, C. Christophi, S. Kales","doi":"10.1249/01.mss.0000678560.14512.db","DOIUrl":"https://doi.org/10.1249/01.mss.0000678560.14512.db","url":null,"abstract":"","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73520318","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000676444.59957.9d
J. Washington, M. Willoughby
PURPOSE: Golf is popular, with many middle-aged participants. A concern for healthcare workers is how to advise those wishing to return to golf after a lower extremity (LE) injury or surgery. A common recommendation is to use a half swing, however, it is not known whether this reduces the motion or muscular torque for the LE. The purpose of this study was to examine the peak torques and positions of the hip during a half swing versus a full golf. METHODS: 11 healthy amateur male golfers with handicaps ≤ 21 participated in this study. All participants completed 20 golf swings (10 full swings, 10 half swings). A 10-camera motion analysis system, with force plates, were used to record swing data. Data was reduced using a 3-D modeling program and standard inverse dynamics were used to determine internal net joint torques. Peak torques (Nm; normalized by %BWHt) and movement positions (degrees) were analyzed in SPSS (Version 24) Differences and correlations considered significant if at the .05 level of probability. A repeated measures ANCOVA (club-head velocity in mph, as the covariate) was used to compare half to full swing for each movement. RESULTS: Subjects had an average age of 44±16 years and an average handicap of 13±6. Club-head speed ranged from 69 to 113mph, with an average of 91±12mph. The highest torques in both full (12.02±1.97 Nm/%BWHt) and half swings (12.04±2.07 Nm/%BWHt) occurred in trail hip extension. This was followed by lead hip flexion and hip abduction, and trail hip abduction in both swing styles. (6.58±2.46, 6.04±2.07 and 5.75±1.11 Nm/%BWHt, respectively). The highest peak positions were in the trail leg for flexion and abduction. There was a significant correlation between each half and full swing position ranging from r=.85 to r=.98. Repeated measures ANCOVAs found no significant differences between half and full golf swings. CONCLUSIONS: Contrary to a pilot study, our data show that using a half swing did not reduce the amount of internal torque around the hip, as compared to a full swing. All torques were similar to a published study in which it was noted that the torques were much higher than reported hip torques for walking and activities of daily living. These findings suggest that clinicians should use caution in recommending a half vs a full swing for those returning to golf following an injury or surgery.
{"title":"Correlation Of Lumbopelvic-hip Complex Stability To Pain In NCAA Division III Golfers","authors":"J. Washington, M. Willoughby","doi":"10.1249/01.mss.0000676444.59957.9d","DOIUrl":"https://doi.org/10.1249/01.mss.0000676444.59957.9d","url":null,"abstract":"PURPOSE: Golf is popular, with many middle-aged participants. A concern for healthcare workers is how to advise those wishing to return to golf after a lower extremity (LE) injury or surgery. A common recommendation is to use a half swing, however, it is not known whether this reduces the motion or muscular torque for the LE. The purpose of this study was to examine the peak torques and positions of the hip during a half swing versus a full golf. METHODS: 11 healthy amateur male golfers with handicaps ≤ 21 participated in this study. All participants completed 20 golf swings (10 full swings, 10 half swings). A 10-camera motion analysis system, with force plates, were used to record swing data. Data was reduced using a 3-D modeling program and standard inverse dynamics were used to determine internal net joint torques. Peak torques (Nm; normalized by %BWHt) and movement positions (degrees) were analyzed in SPSS (Version 24) Differences and correlations considered significant if at the .05 level of probability. A repeated measures ANCOVA (club-head velocity in mph, as the covariate) was used to compare half to full swing for each movement. RESULTS: Subjects had an average age of 44±16 years and an average handicap of 13±6. Club-head speed ranged from 69 to 113mph, with an average of 91±12mph. The highest torques in both full (12.02±1.97 Nm/%BWHt) and half swings (12.04±2.07 Nm/%BWHt) occurred in trail hip extension. This was followed by lead hip flexion and hip abduction, and trail hip abduction in both swing styles. (6.58±2.46, 6.04±2.07 and 5.75±1.11 Nm/%BWHt, respectively). The highest peak positions were in the trail leg for flexion and abduction. There was a significant correlation between each half and full swing position ranging from r=.85 to r=.98. Repeated measures ANCOVAs found no significant differences between half and full golf swings. CONCLUSIONS: Contrary to a pilot study, our data show that using a half swing did not reduce the amount of internal torque around the hip, as compared to a full swing. All torques were similar to a published study in which it was noted that the torques were much higher than reported hip torques for walking and activities of daily living. These findings suggest that clinicians should use caution in recommending a half vs a full swing for those returning to golf following an injury or surgery.","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73534593","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000680416.64544.27
Silvestre Cardiel-Gutiérrez, S. Márquez‐Gamiño, K. Vera-Delgado, Víctor Hugo Córdova de los Santos, F. Sotelo-Barroso, C. Caudillo-Cisneros, E. Sánchez-Duarte
RESULTS: After the hypoxia period, cell viability rate was 98±9%, without differing from the normoxia group (p>0.05). However, after 8 or 4 h of reoxygenation, the viability rate was reduced to 51±10% (p<0.01) and 74±10% (p<0.001), respectively. In addition, the percentage of early apoptotic cells was 36% (p<0.001) after 6 h of hypoxia/4 h of reoxygenation (H/R) as assessed by MTT assay. The viability rates in the same H/R protocol increased from 74±10% to 92±10% and 80±2% in SMand NSM-treated cells, respectively, without exhibiting differences with the normoxia group (p>0.05). Interestingly, a significantly higher viability was observed only in the cells treated with the SM compared to the non-treated cells after H/R injury (p<0.05). CONCLUSIONS: Our findings suggest that cardiomyocytes are susceptible to H/R-induced injury, while the cell death rate depends on the duration of reoxygenation. Moreover, cardiomyoblasts‘ secretome inhibits their apoptosis after H/R injury while their mechanical load ―preconditioning‖ appears to boost the anti-apoptotic effects of their secretome, implying the beneficial paracrine action of cardiac muscle cells due to mechanical loading.
{"title":"EFFECT OF REGULAR EXERCISE ON EXPRESSION OF K ATP CHANNELS IN HEART OF DIABETIC RATS","authors":"Silvestre Cardiel-Gutiérrez, S. Márquez‐Gamiño, K. Vera-Delgado, Víctor Hugo Córdova de los Santos, F. Sotelo-Barroso, C. Caudillo-Cisneros, E. Sánchez-Duarte","doi":"10.1249/01.mss.0000680416.64544.27","DOIUrl":"https://doi.org/10.1249/01.mss.0000680416.64544.27","url":null,"abstract":"RESULTS: After the hypoxia period, cell viability rate was 98±9%, without differing from the normoxia group (p>0.05). However, after 8 or 4 h of reoxygenation, the viability rate was reduced to 51±10% (p<0.01) and 74±10% (p<0.001), respectively. In addition, the percentage of early apoptotic cells was 36% (p<0.001) after 6 h of hypoxia/4 h of reoxygenation (H/R) as assessed by MTT assay. The viability rates in the same H/R protocol increased from 74±10% to 92±10% and 80±2% in SMand NSM-treated cells, respectively, without exhibiting differences with the normoxia group (p>0.05). Interestingly, a significantly higher viability was observed only in the cells treated with the SM compared to the non-treated cells after H/R injury (p<0.05). CONCLUSIONS: Our findings suggest that cardiomyocytes are susceptible to H/R-induced injury, while the cell death rate depends on the duration of reoxygenation. Moreover, cardiomyoblasts‘ secretome inhibits their apoptosis after H/R injury while their mechanical load ―preconditioning‖ appears to boost the anti-apoptotic effects of their secretome, implying the beneficial paracrine action of cardiac muscle cells due to mechanical loading.","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73781840","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000684960.57295.b4
Michael V. Fedewa, Katherine Sullivan, Clifton J. Holmes, Bjoern Hornikel, Shengting Cao, Yu Gan, M. Esco
{"title":"Test-retest Reliability Of Total Body Volume Derived From A Single 2-dimensional Digital Image","authors":"Michael V. Fedewa, Katherine Sullivan, Clifton J. Holmes, Bjoern Hornikel, Shengting Cao, Yu Gan, M. Esco","doi":"10.1249/01.mss.0000684960.57295.b4","DOIUrl":"https://doi.org/10.1249/01.mss.0000684960.57295.b4","url":null,"abstract":"","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"2012 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73788325","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000683508.74478.dc
J. Isaacs, Michael T. Lane, Aaron D. Sciascia
INTRODUCTION: The use of multi-ingredient pre-workout supplements has been steadily on the rise in the fitness industries. Companies make claims about improvements in performance both physically and cognitively for users but seldom provide research to back up the claims made about the ingredients or dosages. PURPOSE: To examine the effects of Huperzine-A and Alpha-GPC on short term memory and anaerobic power output, post exhaustion compared to caffeine and placebo in healthy college age students. METHODS: The study was conducted as a double blind, placebo controlled, randomized design on 62 healthy adults (N=62 height 68.4 ± 3.5 in., weight 78.5 ± 15.1 kg.). The wash out period was a minimum of 48 hours after completion of the familiarization. Subjects reported to the exercise physiology lab thirty minutes before testing began and consumed either a caffeine, AlphaGPC and Hup-A, or placebo solution. After the thirty-minute digestion period subjects performed one computer-based short-term memory test, and a thirty-second Wingate anaerobic power test. Subjects then performed an exhaustion protocol before repeating the memory and power test. Once all testing was completed subjects returned between 2 and 14 days after the last test and repeat the protocol. A power analysis was run using G* Power software 3.1.9.2 based from Zeigenfuss et al., (2008). The percent change between pre and post was compared across visits using ANOVA with repeated measures. Significance was found with an Alpha level P ≤ 0.05 with Tukey Post Hoc analysis will be used to determine pairwise comparisons. All stats were run on IBM SPSS 23. RESULTS: The ANOVA with repeated measures and Tukey Post Hoc analysis found there was no significant difference in performance pre to post, between groups, or factoring the percent change pre to post. CONCLUSION: This result suggests there is no physical or mental benefit acutely dosing 600 mg. of Alpha-GPC and 200 mcg. of Huperzine-A in healthy recreationally active adults. This was the first study to look at the two in combination so, the finding is neither supported nor opposed to the current body of research. The finding does oppose the logic some supplement companies have been using to justify their sales tactics. Future research should investigate the effects of a loading period on physical and mental performance.
{"title":"Effects Of Alpha-gpc And Huperzine-a On Memory And Power Output Post Exhaustion","authors":"J. Isaacs, Michael T. Lane, Aaron D. Sciascia","doi":"10.1249/01.mss.0000683508.74478.dc","DOIUrl":"https://doi.org/10.1249/01.mss.0000683508.74478.dc","url":null,"abstract":"INTRODUCTION: The use of multi-ingredient pre-workout supplements has been steadily on the rise in the fitness industries. Companies make claims about improvements in performance both physically and cognitively for users but seldom provide research to back up the claims made about the ingredients or dosages. PURPOSE: To examine the effects of Huperzine-A and Alpha-GPC on short term memory and anaerobic power output, post exhaustion compared to caffeine and placebo in healthy college age students. METHODS: The study was conducted as a double blind, placebo controlled, randomized design on 62 healthy adults (N=62 height 68.4 ± 3.5 in., weight 78.5 ± 15.1 kg.). The wash out period was a minimum of 48 hours after completion of the familiarization. Subjects reported to the exercise physiology lab thirty minutes before testing began and consumed either a caffeine, AlphaGPC and Hup-A, or placebo solution. After the thirty-minute digestion period subjects performed one computer-based short-term memory test, and a thirty-second Wingate anaerobic power test. Subjects then performed an exhaustion protocol before repeating the memory and power test. Once all testing was completed subjects returned between 2 and 14 days after the last test and repeat the protocol. A power analysis was run using G* Power software 3.1.9.2 based from Zeigenfuss et al., (2008). The percent change between pre and post was compared across visits using ANOVA with repeated measures. Significance was found with an Alpha level P ≤ 0.05 with Tukey Post Hoc analysis will be used to determine pairwise comparisons. All stats were run on IBM SPSS 23. RESULTS: The ANOVA with repeated measures and Tukey Post Hoc analysis found there was no significant difference in performance pre to post, between groups, or factoring the percent change pre to post. CONCLUSION: This result suggests there is no physical or mental benefit acutely dosing 600 mg. of Alpha-GPC and 200 mcg. of Huperzine-A in healthy recreationally active adults. This was the first study to look at the two in combination so, the finding is neither supported nor opposed to the current body of research. The finding does oppose the logic some supplement companies have been using to justify their sales tactics. Future research should investigate the effects of a loading period on physical and mental performance.","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73797987","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000675264.67352.73
K. Evenson, Fang Wen, Chongzhi Di, A. LaCroix, C. Lewis, M. LaMonte, I. Lee, E. Rillamas-Sun, L. Tinker, D. Buchner
{"title":"Calibrating Physical Activity And Sedentary Behavior For Wrist-worn Accelerometry In Women 60 Years And Older","authors":"K. Evenson, Fang Wen, Chongzhi Di, A. LaCroix, C. Lewis, M. LaMonte, I. Lee, E. Rillamas-Sun, L. Tinker, D. Buchner","doi":"10.1249/01.mss.0000675264.67352.73","DOIUrl":"https://doi.org/10.1249/01.mss.0000675264.67352.73","url":null,"abstract":"","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73814373","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000686204.00908.e8
Bryanna J. Veroneau, Bailey A. Tadlock, S. Christopher, S. Vallabhajosula, A. Knab, C. Harnish, G. Bullock
There is a high prevalence of pain and injury in collegiate athletes, which can affect playing time and performance. Previous studies have observed that surgery and concussions can affect athletic identity. Currently, there is a paucity of research investigating how current pain and injury affect athletic identity. PURPOSE: To determine how current collegiate athlete pain and injury affect athletic identity and how these relationships differ across NCAA divisions. METHODS: NCAA division 1 (D1), 2 (D2), and 3 (D3) athletes were administered a questionnaire through an encrypted database. The Athletic Identity Questionnaire (AIM) and Oslo Sports Trauma Research Center Overuse Injury Questionnaire (OSTRC) were used within the survey. AIM estimates self-perceived athletic identity while OSTRC measures level of participation, training volume, performance, and pain. Athletes were further classified by OSTRC scores into overuse and substantial overuse injuries. Multivariable and logistic regressions assessed the relationship between Aim, OSTRC scores, and overuse injury. Models were adjusted for age, gender, NCAA division, history of orthopedic surgery, and history of major injury, with unadjusted and adjusted coefficients and Odds Ratios (OR) with 95% confidence intervals (95% CI). RESULTS: 252 athletes (age of 19.4 years (1.2); female: 181, male: 70; D1: 101, D2: 74, D3: 77) participated. Mean AIM scores were D1: 37.98 (7.61), D2: 37.03 (37.03), and D3: 38.86 (6.98). The OSTRC median score was 0 (IQR: 0-22). 127 (50%) athletes had an overuse injury while 47 (19%) had a substantial overuse injury. Adjusted total OSTRC score was -0.67 (95% CI: -2.4, 1.1; p=0.474). Adjusted OR for OSTRC overuse injury was 1.00 (95% CI: 0.97, 1.04; p=0.589) and substantial overuse injury was 0.95 (95% CI: 0.91, 0.99; p=0.036). Similar results were observed between gender and division subgroups. CONCLUSION: After adjusting for confounding variables, it was determined that substantial overuse injuries negatively affected athletic identity, regardless of gender or NCAA division. Sports medicine professionals need to consider the possibility of lost athletic identity when an athlete sustains an injury. Measures should be taken to ensure that athletes continue to have meaningful contribution to sport following pain or injury.
{"title":"The Effect Of Injuries And Pain On Athletic Identity Across NCAA Divisions","authors":"Bryanna J. Veroneau, Bailey A. Tadlock, S. Christopher, S. Vallabhajosula, A. Knab, C. Harnish, G. Bullock","doi":"10.1249/01.mss.0000686204.00908.e8","DOIUrl":"https://doi.org/10.1249/01.mss.0000686204.00908.e8","url":null,"abstract":"There is a high prevalence of pain and injury in collegiate athletes, which can affect playing time and performance. Previous studies have observed that surgery and concussions can affect athletic identity. Currently, there is a paucity of research investigating how current pain and injury affect athletic identity. PURPOSE: To determine how current collegiate athlete pain and injury affect athletic identity and how these relationships differ across NCAA divisions. METHODS: NCAA division 1 (D1), 2 (D2), and 3 (D3) athletes were administered a questionnaire through an encrypted database. The Athletic Identity Questionnaire (AIM) and Oslo Sports Trauma Research Center Overuse Injury Questionnaire (OSTRC) were used within the survey. AIM estimates self-perceived athletic identity while OSTRC measures level of participation, training volume, performance, and pain. Athletes were further classified by OSTRC scores into overuse and substantial overuse injuries. Multivariable and logistic regressions assessed the relationship between Aim, OSTRC scores, and overuse injury. Models were adjusted for age, gender, NCAA division, history of orthopedic surgery, and history of major injury, with unadjusted and adjusted coefficients and Odds Ratios (OR) with 95% confidence intervals (95% CI). RESULTS: 252 athletes (age of 19.4 years (1.2); female: 181, male: 70; D1: 101, D2: 74, D3: 77) participated. Mean AIM scores were D1: 37.98 (7.61), D2: 37.03 (37.03), and D3: 38.86 (6.98). The OSTRC median score was 0 (IQR: 0-22). 127 (50%) athletes had an overuse injury while 47 (19%) had a substantial overuse injury. Adjusted total OSTRC score was -0.67 (95% CI: -2.4, 1.1; p=0.474). Adjusted OR for OSTRC overuse injury was 1.00 (95% CI: 0.97, 1.04; p=0.589) and substantial overuse injury was 0.95 (95% CI: 0.91, 0.99; p=0.036). Similar results were observed between gender and division subgroups. CONCLUSION: After adjusting for confounding variables, it was determined that substantial overuse injuries negatively affected athletic identity, regardless of gender or NCAA division. Sports medicine professionals need to consider the possibility of lost athletic identity when an athlete sustains an injury. Measures should be taken to ensure that athletes continue to have meaningful contribution to sport following pain or injury.","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73890279","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}
Pub Date : 2020-07-01DOI: 10.1249/01.mss.0000675300.67999.bb
C. Ozemek, D. Laddu, T. Hauer, C. Rouleau, T. Campbell, S. Wilton, S. Aggarwal, Leslie D. Austford, T. Williamson, Hongwei Liu, D. Chirico, R. Arena
PURPOSE: Walking speed tests are valid tools for predicting functional independence outcomes, however research has not yet agreed on their predictive ability for cardiovascular disease events. There are a range of distances used for walking speed tests, which generates a gap in knowledge and questions the test‘s accuracy and clinical significance. The purpose of the current study was to determine an optimal distance to calculate gait speed that can be used to standardize walking tests in clinical settings. METHODS: Participants walked at their normal gait speed for 20m through Brower timing gates set up at the starting line and at 5m, 10m, and 20m. Speeds from 0-5m, 5-10m, and 10-20m were compared using a linear mixed effect model. RESULTS: The average speed for 0-5m segment was 1.361 m/s, 5-10m was 1.449 m/s, and the 10-20m average speed was 1.467 m/s. Comparing 0-5m to 5-10m, the estimated difference was 0.088 m/s with a 95% CI between 0.062-0.079 m/s with a p-value < 0.0001. Comparing 0-5m to 10-20m, the estimated difference was 0.106 m/s with a p-value of <0.0001. The estimated 510m to 10-20m difference was 0.018 m/s with a p-value of 0.18. CONCLUSIONS: The most efficient distance to measure gait speed is between 5-10 meters of a 15 meter walk test to provide room for acceleration and deceleration. Using a walk speed test under 5 meters is not advised because people are still accelerating and have not achieved stable speed.
{"title":"Serial Assessment Of The Cardiorespiratory Fitness Vital Sign: Prognostic Significance One Year Post Cardiac Rehabilitation","authors":"C. Ozemek, D. Laddu, T. Hauer, C. Rouleau, T. Campbell, S. Wilton, S. Aggarwal, Leslie D. Austford, T. Williamson, Hongwei Liu, D. Chirico, R. Arena","doi":"10.1249/01.mss.0000675300.67999.bb","DOIUrl":"https://doi.org/10.1249/01.mss.0000675300.67999.bb","url":null,"abstract":"PURPOSE: Walking speed tests are valid tools for predicting functional independence outcomes, however research has not yet agreed on their predictive ability for cardiovascular disease events. There are a range of distances used for walking speed tests, which generates a gap in knowledge and questions the test‘s accuracy and clinical significance. The purpose of the current study was to determine an optimal distance to calculate gait speed that can be used to standardize walking tests in clinical settings. METHODS: Participants walked at their normal gait speed for 20m through Brower timing gates set up at the starting line and at 5m, 10m, and 20m. Speeds from 0-5m, 5-10m, and 10-20m were compared using a linear mixed effect model. RESULTS: The average speed for 0-5m segment was 1.361 m/s, 5-10m was 1.449 m/s, and the 10-20m average speed was 1.467 m/s. Comparing 0-5m to 5-10m, the estimated difference was 0.088 m/s with a 95% CI between 0.062-0.079 m/s with a p-value < 0.0001. Comparing 0-5m to 10-20m, the estimated difference was 0.106 m/s with a p-value of <0.0001. The estimated 510m to 10-20m difference was 0.018 m/s with a p-value of 0.18. CONCLUSIONS: The most efficient distance to measure gait speed is between 5-10 meters of a 15 meter walk test to provide room for acceleration and deceleration. Using a walk speed test under 5 meters is not advised because people are still accelerating and have not achieved stable speed.","PeriodicalId":14781,"journal":{"name":"Journal is not defined within the JOURNAL database.","volume":"109 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74377757","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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