Outline

Overview

Athletic endeavours are often accompanied by sport-related injuries. This unit will provide students with an understanding of the complex and multifactorial nature of sports injuries as the keystone to establishing effective injury prevention programs. Key topics in this unit will provide an understanding of injury causation, of intrinsic and extrinsic risk factors (such as training loads, overtraining, fatigue and wellness influences) and their inter-relationship and contribution to injury incident, and examine mechanisms leading to injury. This unit will present the fundamental aspects of injury epidemiology by exploring injury definitions, and the injury indices of type, location, mechanism, severity, and incidence. Injury surveillance paradigms and risk factor analyses and statistical methods will be investigated through analysing students own collected data or data from other sources. Injury management, recovery and prevention strategies will also be explored.

Unit details and rules

Academic unit	Movement Sciences
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Rhonda Orr, rhonda.orr@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Sports Injury Project: Reflection Task Personal reflection of the injury project and peer review received	5%	Formal exam period Due date: 14 Nov 2023 at 23:59	150-200 words
Outcomes assessed:
Presentation	Sports Injury Project: Presentation Part B The presentation will be done in the timetabled tutorials in weeks 12 & 13	15%	Multiple weeks Due date: 26 Oct 2023 at 13:00	10 mins (8min + 2 min questions)
Outcomes assessed:
Online task	Sports Injury Project: Peer Review of Presentations Students, individually, will peer review group presentations	3%	Multiple weeks	3 questions
Outcomes assessed:
Assignment	Injury Infographic Create an Infographic based on an injury paper or systematic review	22%	Week 05 Due date: 01 Sep 2023 at 23:59	Maximum 1000 words
Outcomes assessed:
Supervised test ?	Mid-semester Exam Lecture and tutorial content from Weeks 1-7 will be examined	25%	Week 08 Due date: 21 Sep 2023 at 11:00	1 hour
Outcomes assessed:
Assignment	Sports Injury Project: Report Reported findings from data collected from an injury surveillance program	30%	Week 10 Due date: 15 Oct 2023 at 23:59	Maximum 2000 words
Outcomes assessed:
Presentation	Sports Injury Project: Presentation Part A PowerPoint slides that will be used for the presentation in Part B	0%	Week 12 Due date: 23 Oct 2023 at 23:59	10-12 PowerPoint slides
Outcomes assessed:
= hurdle task ? = group assignment ?

Assessment summary

Injury Infographic: Students will create an infographic based on a self-selected injury paper or systematic review

Mid-Semester Exam: Lecture and tutorial content from Weeks 1-7 will be examined by paper in a formal examination setting. The exam will comprise approximately 25% multiple choice questionbs 75% short answer questions.

Sports Injury Project: This project is conducted by a group of three students. From a list of sports teams, students will select a team with which to conduct an injury surveillance program for 5-6 weeks. Students will attend training and competition matches to record injury data and present their findings for the team. All students within their group are expected to contribute equally to all components of the project, as determined by their Team Agreement. Non-contribution according to the Team Agreement will be deemed non-submission and therefore will result in an absent fail award for the group components of the project..

The components of this project include:

(a) Report: is a written report presenting the findings of the project.

(b) Presentation. Part A: the powerpoint slides for the presenation must be submitted on the due date regardless of the presentation day. Groups cannot undertake their presentation if the powerpoint slides are not submitted beforehand. Part B: presentation will be delivered in your timetabled tutorial session.

(c) Peer review of presentations (this is an individual student task). Students will provide a brief review of the other group presentations within their tutorial group, across weeks 12 and 13.

(d) Reflection task (this is an individual student task)

Detailed information for each assessment can be found on Canvas.

ALL assessments must be submitted to be eligible to pass this unit of study. If any assessment is not submitted, an absent fail grade (AF) will be awarded for this unit.

Assessment criteria

Result name	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.
Absent fail	0 - 49	When you haven’t completed all assessment tasks or met the attendance requirements.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

In accordance with University policy, these penalties apply when written work is submitted after 11:59 pm on the specified due dates. Deduction of 5% of the maximum mark for each calendar day after the due date. After ten calendar days late, a mark of zero will be awarded. Note: The penalty for late submission of the PowerPoint presentations will be applied to the overall presentation mark.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Welcome. Introduction to injury surveillance project. Injury surveillance protocols. Injury definitions	Lecture (2 hr)
Week 02	Injury epidemiology	Lecture (2 hr)
Week 02	Injury surveillance protocols. Injury project planning.	Tutorial (1 hr)
Week 03	Injury Metrics and Calculations	Lecture (2 hr)
Week 04	Risk factor analyses. Technology in injury surveillance.	Lecture (2 hr)
Week 04	Injury epidemiology calculations. Infographics.	Tutorial (1 hr)
Week 05	Injury Risk Factors: internal and external training loads	Lecture (2 hr)
Week 05	Project progress: group check-in with Rhonda	Tutorial (1 hr)
Week 06	Injury Risk Factors: Fatigue, Wellness, Sleep	Lecture (2 hr)
Week 06	Training Loads	Tutorial (1 hr)
Week 07	Injury Risk Factors: Mental health	Lecture (2 hr)
Week 07	Revision, preparation for mid-semester exam	Tutorial (1 hr)
Week 09	Injury Risk Factors: Competitive Stress	Lecture (2 hr)
Week 09	Injury Risk Factors review	Tutorial (1 hr)
Week 10	Guest Lecture: Dr Grace Bryant, Olympics and Word Championships sports medicine physician	Lecture (1 hr)
Week 11	Return to Play Programming: Periodisation and modified exercise prescription	Lecture (2 hr)
Week 12	Injury management and prevention strategies, practice and evidence	Lecture (2 hr)
Week 12	Sports Injury Project Group Presentations	Tutorial (1 hr)
Week 13	Guest Lecturers: Donny Singe (formerly Sea Eagles NRL) and Elias Boukarim (Westerns Sydney Wanderers)	Lecture (2 hr)
Week 13	Sports Injury Project Group Presentations	Tutorial (1 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

There is a Recommended Reading List in Canvas which will be updated throughout the semester.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

LO1. Discuss intrinsic and extrinsic risk factors associated with sports injuries in specific sport contexts
LO2. Critically evaluate internal and external measures of training load, overtraining, fatigue and sleep measures and their association with sporting injuries
LO3. Analyse sport contexts associated with injury types and their associated mechanisms
LO4. Critically evaluate injury definitions with associated problems and components of an effective injury surveillance paradigm
LO5. Calculate and use injury epidemiology metrics and appropriate risk factor analyses
LO6. Apply an injury surveillance strategy in a sporting context
LO7. Report on injury surveillance to sport stakeholders

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Alignment with Competency standards

Outcomes	Competency standards
	Accredited Exercise Physiologist Professional Standards - 3.3.6. Recognise, interpret, revise and demonstrate in client-centred, multi-disciplinary care models, responses to changing risk factors, safety factors and clinical situations before, during and after assessments and exercise (including first-aid response), for all target conditions in the musculoskeletal and cardiovascular domains and a broad range of target conditions across the other AEP pathology domains.
	Accredited Exercise Scientist Professional Standards (2022) - 1.2.2. Support clients to meet their goals through the integration and application of the exercise science sub-discipline standards. 1.2.6. Identify risks and apply appropriate risk management strategies to the professional practice of exercise science.
	Accredited Exercise Scientist Professional Standards (2022) - 1.2.1. Apply knowledge and skills in a variety of professional exercise science work settings. 1.2.2. Support clients to meet their goals through the integration and application of the exercise science sub-discipline standards. 4.2.7. Identify, interpret, report and take appropriate action regarding adverse signs and symptoms that may arise during exercise, sport and recovery.
	Accredited Exercise Scientist Professional Standards (2022) - 1.2.6. Identify risks and apply appropriate risk management strategies to the professional practice of exercise science.
	Accredited Exercise Scientist Professional Standards (2022) - 1.2.4. Practice with integrity within the scope of training for an Exercise Scientist and the ESSA Code of Professional Conduct and Ethical Practice. 14.2.5. Select and apply basic data analysis techniques appropriate to exercise science subdisciplines.
	Accredited Exercise Scientist Professional Standards (2022) - 14.2.3. Appraise research methods and reports, including statistical results to understand methodological and ethical aspects of research, and integrate this knowledge into all areas of exercise science practice. 14.2.4. Cite the research of others in written and oral communication

Accredited Exercise Scientist Professional Standards (2022) -

Competency code	Taught, Practiced or Assessed	Competency standard
14.2.4		Cite the research of others in written and oral communication
14.2.5		Select and apply basic data analysis techniques appropriate to exercise science subdisciplines.

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

This is the first time this unit has been offered.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

EXSS2039: Sport Injury Epidemiology and Mechanisms

Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect