Relationship between training load and recovery in collegiate American football players during pre-season training

Jagim, Andrew R.; Wright, Glenn; Camic, Clayton L.; Kisiolek, Jacob N.; Luedke, Joel; Oliver, Jonathan M.; Fischer, Karen M.; Jones, Margaret

doi:10.1080/24733938.2020.1863455

Cited by 6 publications

(8 citation statements)

References 34 publications

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Section: Resultsmentioning

confidence: 99%

“…Most of the papers [ 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 , 153 , 154 , 155 , 156 , 157 , 158 , 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 , 168 ] dealt with the topic of training loads in American football athletes and all of them measured external loads. Eight papers [ 147 , 153 , 154 , 159 , 164 , 165 , 166 , 168 ] measured internal load. Investigations of physical demands during practices were reported by five papers [ 144 , 151 , 157 , 163 , 167 ], whereas another five papers focused on game demands [ 145 , 148 , 150 , 158 ].…”

Section: Resultsmentioning

confidence: 99%

“…In four of the analyzed papers [ 144 , 164 , 166 , 168 ], the internal load measures were extracted from wearable sensors. Another four papers published by Flatt et al, from 2018 to 2021 [ 153 , 154 , 159 , 165 ], opened up a new research line regarding the monitoring of HRV and cardiovascular recovery between training days in American football athletes.…”

Section: Resultsmentioning

confidence: 99%

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Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Nocera

Sbrollini

Romagnoli

et al. 2023

Sensors

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American football is the sport with the highest rates of concussion injuries. Biomedical engineering applications may support athletes in monitoring their injuries, evaluating the effectiveness of their equipment, and leading industrial research in this sport. This literature review aims to report on the applications of biomedical engineering research in American football, highlighting the main trends and gaps. The review followed the PRISMA guidelines and gathered a total of 1629 records from PubMed (n = 368), Web of Science (n = 665), and Scopus (n = 596). The records were analyzed, tabulated, and clustered in topics. In total, 112 studies were selected and divided by topic in the biomechanics of concussion (n = 55), biomechanics of footwear (n = 6), biomechanics of sport-related movements (n = 6), the aerodynamics of football and catch (n = 3), injury prediction (n = 8), heat monitoring of physiological parameters (n = 8), and monitoring of the training load (n = 25). The safety of players has fueled most of the research that has led to innovations in helmet and footwear design, as well as improvements in the understanding and prevention of injuries and heat monitoring. The other important motivator for research is the improvement of performance, which has led to the monitoring of training loads and catches, and studies on the aerodynamics of football. The main gaps found in the literature were regarding the monitoring of internal loads and the innovation of shoulder pads.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Nocera

Sbrollini

Romagnoli

et al. 2023

Sensors

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“…Internal and external derivatives of training load affect both neuromuscular and subjective indicators of recovery, which should be taken into account when observing athletes. The authors [15] also found that positional differences in mechanical load can occur during the pre-season training period. Therefore, the combination of indicators can provide the most reliable profile of training loads and general recovery indicators.…”

Section: Introductionmentioning

confidence: 90%

“…[15] showed that subjective perception of exercise intensity can help predict neuromuscular fatigue rates the next day. The authors [15] recommend the use of subjective perception of load intensity for small sports programs, which may not have the resources to purchase modern wearable technoogical systems. Internal and external derivatives of training load affect both neuromuscular and subjective indicators of recovery, which should be taken into account when observing athletes.…”

Section: Introductionmentioning

confidence: 99%

Factor structure of the complex preparedness of young football players 12-13 years old

Cieślicka

Muszkieta

Bejtka

et al. 2021

Zdor. sport reabìl.

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Purpose: to determine the factor structure of the complex readiness of young football players 12-13 years old based on the level of development of physical qualities, mastery of technical elements and indicators of psychophysiological functions. Material and methods. Participants: 48 football players 12-13 years old participated in the study of the sports club “Kolos”, Kharkiv, Ukraine. All children started to play football in the age of 10-11, that is, the duration of football classes was 1-2 years. Research methods. The following data were determined: indicators of the level of physical preparedness, indicators of the level of technical preparedness, indicators of the psychophysiological functional state. The structure of complex preparedness was determined using factor analysis (SPSS-17, Dimension Redaction - Factor; Extraction Method: Principal Component Analysis; Varimax with Kaiser Normalization). Results. In the structure of complex training of young football players aged 12-13, 4 main factors were identified: 1 - "Speed-power and technical training" (30.36% of the total dispersion); 2 - "Attention switching" (20.7% of the total variance); 3 - "Sensitivity of the nervous system" (15.4% of the total dispersion); 4 - "Mobility of the nervous system" (13.9% of the total dispersion). Conclusions. Speed and strength, technical training in combination with switching of attention and mobility of the nervous system are dominated in the structure of complex training of young football players aged 12-13. The obtained data create conditions for recommendations in the training process of young football players aged 12-13 increase the number of exercises that require the development of speed and strength, technical training in combination with exercises to switch attention.

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Does the TMPRSS6 C > T Polymorphism Modify the Endurance Training Effects on Hematological Parameters?

Kahraman

Turgay

Yigittürk

et al. 2021

Biol Trace Elem Res

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Relationship between training load and recovery in collegiate American football players during pre-season training

Cited by 6 publications

References 34 publications

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review

Factor structure of the complex preparedness of young football players 12-13 years old

Does the TMPRSS6 C > T Polymorphism Modify the Endurance Training Effects on Hematological Parameters?

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