Analysis of the impact of sex and age on the variation in the prevalence of antinuclear autoantibodies in Polish population : a nationwide observational, cross-sectional study
- Krzemie, Kasperczyk, Sławomir, Banach, Maciej, Kasperczyk, Aleksandra, Dobrakowski, Michał, Tomasik, Tomasz, Windak, Adam, Mastej, Mirosław, Catapano, Alberico, Ray, Kausik, Mikhailidis, Dimitri, Toth, Peter, Howard, George, Lip, Gregory, Tomaszewski, Macie, Charchar, Fadi, Sattar, Naveed, Williams, Bryan, MacDonald, Thomas, Penson, Peter, Al-Shaer, B, Andrusewicz, W., Anusz-Gaszewska, E., Balawajder, P., Bańka, G., Barańska-Skubisz E., Przyczyna, B., Bartkowiak S.
- Authors: Krzemie , Kasperczyk, Sławomir , Banach, Maciej , Kasperczyk, Aleksandra , Dobrakowski, Michał , Tomasik, Tomasz , Windak, Adam , Mastej, Mirosław , Catapano, Alberico , Ray, Kausik , Mikhailidis, Dimitri , Toth, Peter , Howard, George , Lip, Gregory , Tomaszewski, Macie , Charchar, Fadi , Sattar, Naveed , Williams, Bryan , MacDonald, Thomas , Penson, Peter , Al-Shaer, B , Andrusewicz, W. , Anusz-Gaszewska, E. , Balawajder, P. , Bańka, G. , Barańska-Skubisz E. , Przyczyna, B. , Bartkowiak S.
- Date: 2022
- Type: Text , Journal article
- Relation: Rheumatology International Vol. 42, no. 2 (2022), p. 261-271
- Full Text:
- Reviewed:
- Description: The detection of antinuclear autoantibody (ANA) is dependent on many factors and varies between the populations. The aim of the study was first to assess the prevalence of ANA in the Polish adult population depending on age, sex and the cutoff threshold used for the results obtained. Second, we estimated the occurrence of individual types of ANA-staining patterns. We tested 1731 patient samples using commercially available IIFA using two cutoff thresholds of 1:100 and 1:160. We found ANA in 260 participants (15.0%), but the percentage of positive results strongly depended on the cutoff level. For a cutoff threshold 1:100, the positive population was 19.5% and for the 1:160 cutoff threshold, it was 11.7%. The most prevalent ANA-staining pattern was AC-2 Dense Fine speckled (50%), followed by AC-21 Reticular/AMA (14.38%) ANA more common in women (72%); 64% of ANA-positive patients were over 50 years of age. ANA prevalence in the Polish population is at a level observed in other highly developed countries and is more prevalent in women and elderly individuals. To reduce the number of positive results released, we suggest that Polish laboratories should set 1:160 as the cutoff threshold. © 2021, The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar" is provided in this record**
- Authors: Krzemie , Kasperczyk, Sławomir , Banach, Maciej , Kasperczyk, Aleksandra , Dobrakowski, Michał , Tomasik, Tomasz , Windak, Adam , Mastej, Mirosław , Catapano, Alberico , Ray, Kausik , Mikhailidis, Dimitri , Toth, Peter , Howard, George , Lip, Gregory , Tomaszewski, Macie , Charchar, Fadi , Sattar, Naveed , Williams, Bryan , MacDonald, Thomas , Penson, Peter , Al-Shaer, B , Andrusewicz, W. , Anusz-Gaszewska, E. , Balawajder, P. , Bańka, G. , Barańska-Skubisz E. , Przyczyna, B. , Bartkowiak S.
- Date: 2022
- Type: Text , Journal article
- Relation: Rheumatology International Vol. 42, no. 2 (2022), p. 261-271
- Full Text:
- Reviewed:
- Description: The detection of antinuclear autoantibody (ANA) is dependent on many factors and varies between the populations. The aim of the study was first to assess the prevalence of ANA in the Polish adult population depending on age, sex and the cutoff threshold used for the results obtained. Second, we estimated the occurrence of individual types of ANA-staining patterns. We tested 1731 patient samples using commercially available IIFA using two cutoff thresholds of 1:100 and 1:160. We found ANA in 260 participants (15.0%), but the percentage of positive results strongly depended on the cutoff level. For a cutoff threshold 1:100, the positive population was 19.5% and for the 1:160 cutoff threshold, it was 11.7%. The most prevalent ANA-staining pattern was AC-2 Dense Fine speckled (50%), followed by AC-21 Reticular/AMA (14.38%) ANA more common in women (72%); 64% of ANA-positive patients were over 50 years of age. ANA prevalence in the Polish population is at a level observed in other highly developed countries and is more prevalent in women and elderly individuals. To reduce the number of positive results released, we suggest that Polish laboratories should set 1:160 as the cutoff threshold. © 2021, The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar" is provided in this record**
Factors influencing creatine kinase response in youth national team soccer players
- Schuth, Gabor, Szigeti, Gyorgy, Dobreff, Gergely, Revisnyei, Peter, Pasic, Alija, Toka, Laszlo, Gabbett, Tim, Pavlik, Gabor
- Authors: Schuth, Gabor , Szigeti, Gyorgy , Dobreff, Gergely , Revisnyei, Peter , Pasic, Alija , Toka, Laszlo , Gabbett, Tim , Pavlik, Gabor
- Date: 2021
- Type: Text , Journal article
- Relation: Sports Health Vol. 13, no. 4 (2021), p. 332-340
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- Reviewed:
- Description: Background: Previous studies have examined the relationship between external training load and creatine kinase (CK) response after soccer matches in adults. This study aimed to build training- and match-specific CK prediction models for elite youth national team soccer players. Hypothesis: Training and match load will have different effects on the CK response of elite youth soccer players, and there will be position-specific differences in the most influential external and internal load parameters on the CK response. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: Forty-one U16-U17 youth national team soccer players were measured over an 18-month period. Training and match load were monitored with global positioning system devices. Individual CK values were measured from whole blood every morning in training camps. The dataset consisted of 1563 data points. Clustered prediction models were used to examine the relationship between external/internal load and consecutive CK changes. Clusters were built based on the playing position and activity type. The performance of the linear regression models was described by the R2 and the root-mean-square error (RMSE, U/L for CK values). Results: The prediction models fitted similarly during games and training sessions (R2 = 0.38-0.88 vs 0.6-0.77), but there were large differences based on playing positions. In contrast, the accuracy of the models was better during training sessions (RMSE = 81-135 vs 79-209 U/L). Position-specific differences were also found in the external and internal load parameters, which best explained the CK changes. Conclusion: The relationship between external/internal load parameters and CK changes are position specific and might depend on the type of session (training or match). Morning CK values also contributed to the next day’s CK values. Clinical Relevance: The relationship between position-specific external/internal load and CK changes can be used to individualize postmatch recovery strategies and weekly training periodization with a view to optimize match performance. © 2021 The Author(s).
- Authors: Schuth, Gabor , Szigeti, Gyorgy , Dobreff, Gergely , Revisnyei, Peter , Pasic, Alija , Toka, Laszlo , Gabbett, Tim , Pavlik, Gabor
- Date: 2021
- Type: Text , Journal article
- Relation: Sports Health Vol. 13, no. 4 (2021), p. 332-340
- Full Text:
- Reviewed:
- Description: Background: Previous studies have examined the relationship between external training load and creatine kinase (CK) response after soccer matches in adults. This study aimed to build training- and match-specific CK prediction models for elite youth national team soccer players. Hypothesis: Training and match load will have different effects on the CK response of elite youth soccer players, and there will be position-specific differences in the most influential external and internal load parameters on the CK response. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: Forty-one U16-U17 youth national team soccer players were measured over an 18-month period. Training and match load were monitored with global positioning system devices. Individual CK values were measured from whole blood every morning in training camps. The dataset consisted of 1563 data points. Clustered prediction models were used to examine the relationship between external/internal load and consecutive CK changes. Clusters were built based on the playing position and activity type. The performance of the linear regression models was described by the R2 and the root-mean-square error (RMSE, U/L for CK values). Results: The prediction models fitted similarly during games and training sessions (R2 = 0.38-0.88 vs 0.6-0.77), but there were large differences based on playing positions. In contrast, the accuracy of the models was better during training sessions (RMSE = 81-135 vs 79-209 U/L). Position-specific differences were also found in the external and internal load parameters, which best explained the CK changes. Conclusion: The relationship between external/internal load parameters and CK changes are position specific and might depend on the type of session (training or match). Morning CK values also contributed to the next day’s CK values. Clinical Relevance: The relationship between position-specific external/internal load and CK changes can be used to individualize postmatch recovery strategies and weekly training periodization with a view to optimize match performance. © 2021 The Author(s).
Individual-specific relationship between external training and match load and creatine-kinase response in youth national team soccer players
- Schuth, Gabor, Szigeti, Gyorgy, Dobreff, Gergely, Pasic, Alija, Gabbett, Tim, Szilas, Adam, Pavlik, Gabor
- Authors: Schuth, Gabor , Szigeti, Gyorgy , Dobreff, Gergely , Pasic, Alija , Gabbett, Tim , Szilas, Adam , Pavlik, Gabor
- Date: 2023
- Type: Text , Journal article
- Relation: Sports Health Vol. 15, no. 5 (2023), p. 700-709
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- Reviewed:
- Description: Background: Previous studies have examined the relationship between external load and creatine-kinase (CK) response at the team level. This study aimed to build individualized CK prediction models for elite youth national team soccer players. Hypothesis: The CK response of youth soccer players can be categorized as being sensitive to micromovements (MM), high-velocity (HV) parameters, or the combination of both, measured during training sessions and matches. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: A total of 25 U16-U17 youth national team soccer players were monitored during training sessions and matches using global positioning system (GPS) units. Individual CK values were measured every morning from whole blood. The data set consisted of 57 ± 17 individual datapoints per player. Individual prediction models were used to examine the relationship between external load and consecutive CK changes. Numerous models were built for each player using MM, HV parameters, or the combination of both. The performance of the models was described by the R2 and the root mean square error (RMSE, U/l for CK values). Results: The MM models were superior for 8 players (R2 = 0.68; RMSE = 113 U/l), followed by HV (8 players; R2 = 0.69; RMSE = 88 U/l) and the combined models (2 players; R2 = 0.64; RMSE = 141 U/l). For the remaining 7 players, the R2 of the models was <0.5. The recovery time between efforts was more important in the HV model. Conclusion: Players could be categorized on sensitivity to MM, HV movements, or the combination of both. Clinical Relevance: These findings can be used to individualize postmatch recovery strategies and to optimize weekly training periodization to maximize match performance. © 2022 The Author(s).
- Authors: Schuth, Gabor , Szigeti, Gyorgy , Dobreff, Gergely , Pasic, Alija , Gabbett, Tim , Szilas, Adam , Pavlik, Gabor
- Date: 2023
- Type: Text , Journal article
- Relation: Sports Health Vol. 15, no. 5 (2023), p. 700-709
- Full Text:
- Reviewed:
- Description: Background: Previous studies have examined the relationship between external load and creatine-kinase (CK) response at the team level. This study aimed to build individualized CK prediction models for elite youth national team soccer players. Hypothesis: The CK response of youth soccer players can be categorized as being sensitive to micromovements (MM), high-velocity (HV) parameters, or the combination of both, measured during training sessions and matches. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: A total of 25 U16-U17 youth national team soccer players were monitored during training sessions and matches using global positioning system (GPS) units. Individual CK values were measured every morning from whole blood. The data set consisted of 57 ± 17 individual datapoints per player. Individual prediction models were used to examine the relationship between external load and consecutive CK changes. Numerous models were built for each player using MM, HV parameters, or the combination of both. The performance of the models was described by the R2 and the root mean square error (RMSE, U/l for CK values). Results: The MM models were superior for 8 players (R2 = 0.68; RMSE = 113 U/l), followed by HV (8 players; R2 = 0.69; RMSE = 88 U/l) and the combined models (2 players; R2 = 0.64; RMSE = 141 U/l). For the remaining 7 players, the R2 of the models was <0.5. The recovery time between efforts was more important in the HV model. Conclusion: Players could be categorized on sensitivity to MM, HV movements, or the combination of both. Clinical Relevance: These findings can be used to individualize postmatch recovery strategies and to optimize weekly training periodization to maximize match performance. © 2022 The Author(s).
Match high-speed running distances are often suppressed after return from hamstring strain injury in professional footballers
- Whiteley, Rodney, Massey, Andrew, Gabbett, Tim, Blanch, Peter, Cameron, Matthew, Conlan, Greta, Ford, Matthew, Williams, Morgan
- Authors: Whiteley, Rodney , Massey, Andrew , Gabbett, Tim , Blanch, Peter , Cameron, Matthew , Conlan, Greta , Ford, Matthew , Williams, Morgan
- Date: 2021
- Type: Text , Journal article
- Relation: Sports Health Vol. 13, no. 3 (2021), p. 290-295
- Full Text:
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- Description: Background: High-speed running is commonly implicated in the genesis of hamstring injury. The success of hamstring injury management is typically quantified by the duration of time loss or reinjury rate. These metrics do not consider any loss in performance after returning to play from hamstring injury. It is not known to what extent high-speed running is altered on return to play after such injury. Hypothesis: Match high-speed running distance will change after returning from hamstring injury. Study Design: Non-randomized cohort. Level of Evidence: Level 3. Methods: Match high-speed running distance in highest level professional football (soccer, Rugby League, Rugby Union, and Australian Rules) were examined for a minimum of 5 games prior and subsequent to hamstring strain injury for individual differences using a linear regression models approach. A total of 22 injuries in 15 players were available for analysis. Results: Preinjury cumulative high-speed running distances were strongly correlated for each individual (r2 = 0.92-1.0 P < 0.0001). Pre- and postinjury high-speed running data were available for a median of 15 matches (range, 6-15). Variance from the preinjury high-speed running distance was significantly less (P = 0.0005) than the post injury values suggesting a suppression of high-speed running distance after returning from injury. On return to play, 7 of the 15 players showed a sustained absolute reduction in preinjury high-speed running distance, 7 showed no change, and 1 player (only) showed an increase. Analysis of subsequent (second and third injury) return to play showed no differences to return from the index injury. Conclusion: Return to play was not associated with return to high-speed running performance for nearly half of the players examined, although the same number showed no difference. Persisting deficits in match high-speed running may exist for many players after hamstring strain injury. Clinical Relevance: Returning to play does not mean returning to (high-speed running) performance for nearly half of the high-level professional football players examined in this study. This suggests that successful return to play metrics should be expanded from simple time taken and recurrence to include performance.
- Authors: Whiteley, Rodney , Massey, Andrew , Gabbett, Tim , Blanch, Peter , Cameron, Matthew , Conlan, Greta , Ford, Matthew , Williams, Morgan
- Date: 2021
- Type: Text , Journal article
- Relation: Sports Health Vol. 13, no. 3 (2021), p. 290-295
- Full Text:
- Reviewed:
- Description: Background: High-speed running is commonly implicated in the genesis of hamstring injury. The success of hamstring injury management is typically quantified by the duration of time loss or reinjury rate. These metrics do not consider any loss in performance after returning to play from hamstring injury. It is not known to what extent high-speed running is altered on return to play after such injury. Hypothesis: Match high-speed running distance will change after returning from hamstring injury. Study Design: Non-randomized cohort. Level of Evidence: Level 3. Methods: Match high-speed running distance in highest level professional football (soccer, Rugby League, Rugby Union, and Australian Rules) were examined for a minimum of 5 games prior and subsequent to hamstring strain injury for individual differences using a linear regression models approach. A total of 22 injuries in 15 players were available for analysis. Results: Preinjury cumulative high-speed running distances were strongly correlated for each individual (r2 = 0.92-1.0 P < 0.0001). Pre- and postinjury high-speed running data were available for a median of 15 matches (range, 6-15). Variance from the preinjury high-speed running distance was significantly less (P = 0.0005) than the post injury values suggesting a suppression of high-speed running distance after returning from injury. On return to play, 7 of the 15 players showed a sustained absolute reduction in preinjury high-speed running distance, 7 showed no change, and 1 player (only) showed an increase. Analysis of subsequent (second and third injury) return to play showed no differences to return from the index injury. Conclusion: Return to play was not associated with return to high-speed running performance for nearly half of the players examined, although the same number showed no difference. Persisting deficits in match high-speed running may exist for many players after hamstring strain injury. Clinical Relevance: Returning to play does not mean returning to (high-speed running) performance for nearly half of the high-level professional football players examined in this study. This suggests that successful return to play metrics should be expanded from simple time taken and recurrence to include performance.
Quantification of training load relative to match load of youth national team soccer players
- Szigeti, Gyorgy, Schuth, Gabor, Revisnyei, Peter, Pasic, Alija, Szilas, Adam, Gabbett, Tim, Pavlik, Gabor
- Authors: Szigeti, Gyorgy , Schuth, Gabor , Revisnyei, Peter , Pasic, Alija , Szilas, Adam , Gabbett, Tim , Pavlik, Gabor
- Date: 2022
- Type: Text , Journal article
- Relation: Sports Health Vol. 14, no. 1 (2022), p. 84-91
- Full Text:
- Reviewed:
- Description: Background: Previous studies have examined the training load relative to match load in club settings. The aims of this study were to (1) quantify the external training load relative to match load in days before a subsequent international game and (2) examine the cumulative training load in relation to match load of U-17 national team field soccer players. Hypothesis: Volume and intensity load parameters will vary between trainings; the farthermost trainings have the highest load gradually decreasing toward the match. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: External training load data were collected from 84 youth national team players using global positioning technology between 2016 and 2020. In the national team setting, training load data were obtained from 3 days before the actual match day (MD-3, MD-2, MD-1 days) and analyzed with regard to the number of days up to the game. Volume and intensity parameters were calculated as a percentage of the subsequent match load. Results: Significant differences were found between MD-1 and MD-2, as well as between MD-1 and MD-3 for most volume parameters (P < 0.01; effect sizes [ESs] 0.68-0.99) and high-intensity distance (P < 0.002; ES 0.67 and 0.73) and maximum velocity (P < 0.002; ES 0.82) as intensity parameters. Most cumulative values were significantly different from total duration (P < 0.001, common language ES 0.80-0.96). Conclusion: The training volume gradually decreased as match day approached, with the highest volume occurring on MD-3. Intensity variables, such as maximum velocity, high-intensity accelerations, and meterage per minute were larger in MD-1 training relative to match load. Training volume was lowest in MD-1 trainings and highest in MD-3 trainings; intensity however varies between training days. Clinical Relevance: The findings of this study may help to understand the special preparational demands of international matches, highlighting the role of decreased training volume and increased intensity. © 2021 The Author(s).
- Authors: Szigeti, Gyorgy , Schuth, Gabor , Revisnyei, Peter , Pasic, Alija , Szilas, Adam , Gabbett, Tim , Pavlik, Gabor
- Date: 2022
- Type: Text , Journal article
- Relation: Sports Health Vol. 14, no. 1 (2022), p. 84-91
- Full Text:
- Reviewed:
- Description: Background: Previous studies have examined the training load relative to match load in club settings. The aims of this study were to (1) quantify the external training load relative to match load in days before a subsequent international game and (2) examine the cumulative training load in relation to match load of U-17 national team field soccer players. Hypothesis: Volume and intensity load parameters will vary between trainings; the farthermost trainings have the highest load gradually decreasing toward the match. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: External training load data were collected from 84 youth national team players using global positioning technology between 2016 and 2020. In the national team setting, training load data were obtained from 3 days before the actual match day (MD-3, MD-2, MD-1 days) and analyzed with regard to the number of days up to the game. Volume and intensity parameters were calculated as a percentage of the subsequent match load. Results: Significant differences were found between MD-1 and MD-2, as well as between MD-1 and MD-3 for most volume parameters (P < 0.01; effect sizes [ESs] 0.68-0.99) and high-intensity distance (P < 0.002; ES 0.67 and 0.73) and maximum velocity (P < 0.002; ES 0.82) as intensity parameters. Most cumulative values were significantly different from total duration (P < 0.001, common language ES 0.80-0.96). Conclusion: The training volume gradually decreased as match day approached, with the highest volume occurring on MD-3. Intensity variables, such as maximum velocity, high-intensity accelerations, and meterage per minute were larger in MD-1 training relative to match load. Training volume was lowest in MD-1 trainings and highest in MD-3 trainings; intensity however varies between training days. Clinical Relevance: The findings of this study may help to understand the special preparational demands of international matches, highlighting the role of decreased training volume and increased intensity. © 2021 The Author(s).
The training-performance puzzle : how can the past inform future training directions?
- Authors: Gabbett, Tim
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Athletic Training Vol. 55, no. 9 (2020), p. 874-884
- Full Text:
- Reviewed:
- Description: Over the past 20 years, research on the training-load-injury relationship has grown exponentially. With the benefit of more data, our understanding of the training-performance puzzle has improved. What were we thinking 20 years ago, and how has our thinking changed over time? Although early investigators attributed overuse injuries to excessive training loads, it has become clear that rapid spikes in training load, above what an athlete is accustomed, explain (at least in part) a large proportion of injuries. In this respect, it appears that overuse injuries may arise from athletes being underprepared for the load they are about to perform. However, a question of interest to both athletic trainers (ATs) and researchers is why some athletes sustain injury at low training loads, while others can tolerate much greater training loads? A higher chronic training load and well-developed aerobic fitness and lower body strength appear to moderate the training-injury relationship and provide a protective effect against spikes in load. The training-performance puzzle is complex and dynamic-at any given time, multiple inputs to injury and performance exist. The challenge facing researchers is obtaining large enough longitudinal data sets to capture the time-varying nature of physiological and musculoskeletal capacities and training-load data to adequately inform injury-prevention efforts. The training-performance puzzle can be solved, but it will take collaboration between researchers and clinicians as well as an understanding that efficacy (ie, how training load affects performance and injury in an idealized or controlled setting) does not equate to effectiveness (ie, how training load affects performance and injury in the real-world setting, where many variables cannot be controlled). © by the National Athletic Trainers' Association, Inc www.natajournals.org
- Authors: Gabbett, Tim
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Athletic Training Vol. 55, no. 9 (2020), p. 874-884
- Full Text:
- Reviewed:
- Description: Over the past 20 years, research on the training-load-injury relationship has grown exponentially. With the benefit of more data, our understanding of the training-performance puzzle has improved. What were we thinking 20 years ago, and how has our thinking changed over time? Although early investigators attributed overuse injuries to excessive training loads, it has become clear that rapid spikes in training load, above what an athlete is accustomed, explain (at least in part) a large proportion of injuries. In this respect, it appears that overuse injuries may arise from athletes being underprepared for the load they are about to perform. However, a question of interest to both athletic trainers (ATs) and researchers is why some athletes sustain injury at low training loads, while others can tolerate much greater training loads? A higher chronic training load and well-developed aerobic fitness and lower body strength appear to moderate the training-injury relationship and provide a protective effect against spikes in load. The training-performance puzzle is complex and dynamic-at any given time, multiple inputs to injury and performance exist. The challenge facing researchers is obtaining large enough longitudinal data sets to capture the time-varying nature of physiological and musculoskeletal capacities and training-load data to adequately inform injury-prevention efforts. The training-performance puzzle can be solved, but it will take collaboration between researchers and clinicians as well as an understanding that efficacy (ie, how training load affects performance and injury in an idealized or controlled setting) does not equate to effectiveness (ie, how training load affects performance and injury in the real-world setting, where many variables cannot be controlled). © by the National Athletic Trainers' Association, Inc www.natajournals.org
Training load and recovery during a pre-olympic season in professional rhythmic gymnasts
- Debien, Paula, Miloski, Bernardo, Werneck, Francisco, Timoteo, Thiago, Ferezin, Camila, Filho, Mauricio, Gabbett, Tim
- Authors: Debien, Paula , Miloski, Bernardo , Werneck, Francisco , Timoteo, Thiago , Ferezin, Camila , Filho, Mauricio , Gabbett, Tim
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Athletic Training Vol. 55, no. 9 (2020), p. 977-983
- Full Text:
- Reviewed:
- Description: Context: Rhythmic gymnastics requires a high level of complexity and perfection of technical gestures, associated with well-developed physical and artistic capacities. The training-load and recovery profiles of rhythmic gymnasts across a season are unknown. Objective: To analyze the training load and recovery of professional rhythmic gymnasts during 1 season. Design: Cohort study. Setting: Brazilian National Training Center of Rhythmic Gymnastics and competition facilities. Patients or Other Participants: Eight gymnasts from the Brazilian national senior rhythmic gymnastics group. Main Outcome Measure(s): Session rating of perceived exertion (session-RPE) and total quality recovery (TQR) scores were collected daily for 43 weeks. We obtained the session-RPE after each session and TQR score before the first session of the day. Performances during 5 competitions were also recorded. The season was divided into 8 periods. Total weekly internal training load (wITL), training intensity, frequency, duration, recovery, and acute: chronic workload ratio were calculated for analysis. Results: The season mean wITL was 10 381 6 4894 arbitrary units, mean session-RPE score was 5.0 6 1.6, and mean TQR score was 12.8 6 1.3. The gymnasts trained an average of 8.7 6 2.9 sessions per week, with a mean duration of 219 6 36 minutes. Each competitive period showed increased wITL compared with the previous period. Training-load variables (wITL and session-RPE) and recovery were inversely correlated. Gymnasts were poorly recovered (TQR, 13) during 50.9% of the season (n ¼ 167 times), especially during competitive weeks. Spikes in load (acute: chronic workload ratio ≥ 1.5) occurred across 18.1% of the season (n ¼ 55 times). Conclusions: The training-load variables and recovery changed throughout a professional rhythmic gymnastics group season, mainly during competitive periods. The correct distribution of training load is critical to ensure that gymnasts are entering competitions in a recovered state. © by the National Athletic Trainers' Association, Inc www.natajournals.org
- Authors: Debien, Paula , Miloski, Bernardo , Werneck, Francisco , Timoteo, Thiago , Ferezin, Camila , Filho, Mauricio , Gabbett, Tim
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Athletic Training Vol. 55, no. 9 (2020), p. 977-983
- Full Text:
- Reviewed:
- Description: Context: Rhythmic gymnastics requires a high level of complexity and perfection of technical gestures, associated with well-developed physical and artistic capacities. The training-load and recovery profiles of rhythmic gymnasts across a season are unknown. Objective: To analyze the training load and recovery of professional rhythmic gymnasts during 1 season. Design: Cohort study. Setting: Brazilian National Training Center of Rhythmic Gymnastics and competition facilities. Patients or Other Participants: Eight gymnasts from the Brazilian national senior rhythmic gymnastics group. Main Outcome Measure(s): Session rating of perceived exertion (session-RPE) and total quality recovery (TQR) scores were collected daily for 43 weeks. We obtained the session-RPE after each session and TQR score before the first session of the day. Performances during 5 competitions were also recorded. The season was divided into 8 periods. Total weekly internal training load (wITL), training intensity, frequency, duration, recovery, and acute: chronic workload ratio were calculated for analysis. Results: The season mean wITL was 10 381 6 4894 arbitrary units, mean session-RPE score was 5.0 6 1.6, and mean TQR score was 12.8 6 1.3. The gymnasts trained an average of 8.7 6 2.9 sessions per week, with a mean duration of 219 6 36 minutes. Each competitive period showed increased wITL compared with the previous period. Training-load variables (wITL and session-RPE) and recovery were inversely correlated. Gymnasts were poorly recovered (TQR, 13) during 50.9% of the season (n ¼ 167 times), especially during competitive weeks. Spikes in load (acute: chronic workload ratio ≥ 1.5) occurred across 18.1% of the season (n ¼ 55 times). Conclusions: The training-load variables and recovery changed throughout a professional rhythmic gymnastics group season, mainly during competitive periods. The correct distribution of training load is critical to ensure that gymnasts are entering competitions in a recovered state. © by the National Athletic Trainers' Association, Inc www.natajournals.org
What factors affect implementation of early rehabilitation into intensive care unit practice? A qualitative study with clinicians
- Parry, Selina, Remedios, Louisa, Denehy, Linda, Knight, Laura, Beach, Lisa, Rollinson, Thomas, Berney, Sue, Puthucheary, Zudin, Morris, Peter, Granger, Catherine
- Authors: Parry, Selina , Remedios, Louisa , Denehy, Linda , Knight, Laura , Beach, Lisa , Rollinson, Thomas , Berney, Sue , Puthucheary, Zudin , Morris, Peter , Granger, Catherine
- Date: 2017
- Type: Text , Journal article
- Relation: Journal of Critical Care Vol. 38, no. (2017), p. 137-143
- Full Text:
- Reviewed:
- Description: Purpose To identify the barriers and enablers that influence clinicians' implementation of early rehabilitation in critical care. Materials and methods Qualitative study involving 26 multidisciplinary participants who were recruited using purposive sampling. Four focus groups were conducted using semistructured questions to explore attitudes, beliefs, and experiences. Data were transcribed verbatim and thematic analysis was performed. Results Six themes emerged, as follows: (1) the clinicians' expectations and knowledge (including rationale for rehabilitation, perceived benefits, and experience), (2) the evidence for and application of rehabilitation (including beliefs regarding when to intervene), (3) patient factors (including prognosis, sedation, delirium, cooperation, motivation, goals, and family), (4) safety considerations (including physiological stability and presence of devices or lines), (5) environmental influences (staffing, resources, equipment, time, and competing priorities), and (6) culture and teamwork. Key strategies identified to facilitate rehabilitation included addressing educational needs for all multidisciplinary team members, supporting junior nursing staff, and potential expansion of physiotherapy staffing hours to closer align with the 24-hour patient care model. Conclusions Key barriers to implementation of early rehabilitation in critical care are diverse and include both clinician- and health care system–related factors. Research targeted at bridging this evidence-practice gap is required to improve provision of rehabilitation. © 2016 Elsevier Inc.
- Authors: Parry, Selina , Remedios, Louisa , Denehy, Linda , Knight, Laura , Beach, Lisa , Rollinson, Thomas , Berney, Sue , Puthucheary, Zudin , Morris, Peter , Granger, Catherine
- Date: 2017
- Type: Text , Journal article
- Relation: Journal of Critical Care Vol. 38, no. (2017), p. 137-143
- Full Text:
- Reviewed:
- Description: Purpose To identify the barriers and enablers that influence clinicians' implementation of early rehabilitation in critical care. Materials and methods Qualitative study involving 26 multidisciplinary participants who were recruited using purposive sampling. Four focus groups were conducted using semistructured questions to explore attitudes, beliefs, and experiences. Data were transcribed verbatim and thematic analysis was performed. Results Six themes emerged, as follows: (1) the clinicians' expectations and knowledge (including rationale for rehabilitation, perceived benefits, and experience), (2) the evidence for and application of rehabilitation (including beliefs regarding when to intervene), (3) patient factors (including prognosis, sedation, delirium, cooperation, motivation, goals, and family), (4) safety considerations (including physiological stability and presence of devices or lines), (5) environmental influences (staffing, resources, equipment, time, and competing priorities), and (6) culture and teamwork. Key strategies identified to facilitate rehabilitation included addressing educational needs for all multidisciplinary team members, supporting junior nursing staff, and potential expansion of physiotherapy staffing hours to closer align with the 24-hour patient care model. Conclusions Key barriers to implementation of early rehabilitation in critical care are diverse and include both clinician- and health care system–related factors. Research targeted at bridging this evidence-practice gap is required to improve provision of rehabilitation. © 2016 Elsevier Inc.
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