Prediction of Sports Injuries by Mathematical Models

The International Journal of Sport and Society ◽

10.18848/2152-7857/cgp/v03i04/53955 ◽

2014 ◽

Vol 3 (4) ◽

pp. 167-183

Author(s):

Adrián de la Cruz-Campos ◽

Juan Carlos de la Cruz-Campos ◽

Juan Carlos de la Cruz-Márquez ◽

Belén Cueto-Martín

Keyword(s):

Mathematical Models ◽

Sports Injuries

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Modelización matemática para la predicción y prevención de lesiones deportivas (Mathematical modeling for prediction and prevention of sports injuries)

Retos ◽

10.47197/retos.v0i39.81315 ◽

2020 ◽

pp. 681-685

Author(s):

María del Carmen Juan Llamas

Keyword(s):

Mathematical Models ◽

Sports Injuries ◽

Preventive Measure ◽

Preventive Treatment ◽

Computer Applications ◽

Regression Equations ◽

Psychological Variables ◽

Causal Factors ◽

Physical Problems ◽

Prediction And Prevention

La predicción de lesiones deportivas a través de modelos matemáticos proporciona a entrenadores y deportistas información y herramientas para su prevención. Sabiendo dónde y/o cuándo pueden surgir problemas físicos en los atletas, se tratará de evitar que efectivamente aparezcan a través de estrategias como la modificación de los planes de entrenamiento y/o su intensidad, el tratamiento preventivo de posibles lesiones futuras, etc. En este artículo se lleva a cabo una revisión bibliográfica con el fin de determinar si el uso de modelos matemáticos para pronosticar lesiones es un método válido como medida de prevención en la práctica deportiva. Se concluye que las ecuaciones de regresión logística desarrolladas hasta la fecha no tienen en cuenta todos los factores que influyen en la aparición de lesiones, como variables psicológicas y factores externos que afectan a la vulnerabilidad del deportista. Por tanto, se propone la realización de nuevas fórmulas que engloben más factores causales de éstas, además de la creación de aplicaciones informáticas que utilicen dichos modelos para facilitar la labor de los especialistas del deporte. Abstract. The prediction of sports injuries using mathematical models provides coaches and athletes with information and tools for their prevention. By knowing where and/or when physical problems may arise in athletes, we can try to prevent them from appearing through strategies such as the modification of training plans and/or workout intensity, the preventive treatment of possible future injuries, etc. In this paper a systematic literature review was carried out to establish if the use of mathematical models for prediction of injuries is a valid method to be used in sports practice as a preventive measure. It is concluded that the logistic regression equations developed to date do not have in consideration all the variables that influence the appearance of injuries, such as psychological variables and external factors that affect the athlete’s vulnerability. Therefore, it is proposed to make new formulas that include more causal factors of these, in addition to the creation of computer applications that apply these equations in order to facilitate the work of the sports specialist.

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Continuum of Care Following Sports-Related Concussion

American Journal of Speech-Language Pathology ◽

10.1044/2020_ajslp-19-00131 ◽

2020 ◽

Vol 29 (3) ◽

pp. 1389-1403

Author(s):

Jessica Brown ◽

Kelly Knollman-Porter

Keyword(s):

Young Adults ◽

Life Span ◽

Sports Injuries ◽

Continuum Of Care ◽

Medical Professional ◽

Structured Interviews ◽

Youth Athletes ◽

Speech Language Pathologist ◽

History Of ◽

Injury Reporting

Purpose Although guidelines have changed regarding federally mandated concussion practices since their inception, little is known regarding the implementation of such guidelines and the resultant continuum of care for youth athletes participating in recreational or organized sports who incur concussions. Furthermore, data regarding the role of speech-language pathologists in the historic postconcussion care are lacking. Therefore, the purpose of this retrospective study was to investigate the experiences of young adults with history of sports-related concussion as it related to injury reporting and received follow-up care. Method Participants included 13 young adults with history of at least one sports-related concussion across their life span. We implemented a mixed-methods design to collect both quantitative and qualitative information through structured interviews. Participants reported experiencing 42 concussions across the life span—26 subsequent to sports injuries. Results Twenty-three concussions were reported to a parent or medical professional, 14 resulted in a formal diagnosis, and participants received initial medical care for only 10 of the incidents and treatment or services on only two occasions. Participants reported concussions to an athletic trainer least frequently and to parents most frequently. Participants commented that previous experience with concussion reduced the need for seeking treatment or that they were unaware treatments or supports existed postconcussion. Only one concussion incident resulted in the care from a speech-language pathologist. Conclusion The results of the study reported herein shed light on the fidelity of sports-related concussion care management across time. Subsequently, we suggest guidelines related to continuum of care from injury to individualized therapy.

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