Predicting Load Carriage Injury Risk in Recreational Hikers

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Abstract

Aim: To investigate if an equation can be used to predict load carriage injury risk in recreational hikers and hiking guides

Design: A prospective cohort study

Method: Participants (n = 31; age = 41.8±15.4 years, mass = 67.7±12.8kg) for this study were recruited through purposive sampling from a recreational hiking company. Surveys, prior to and after a multiple day hike, were administered investigating current fitness levels, loads carried, body weight and injuries.
Individual hike performance data were entered into a modified load carriage energy cost equation to determine the %VO2max work effort (M = 1.5 W + 2.0 (W + L)(L/W)2 + ƞ(W + L)[1.5 V2 + 0.35 VG]+ V2(0.015LH2+0.064LF2)) and the survey data applied to inform a risk management framework level of injury
risk matrix (very low, low, medium, high or very high risk). Predictions were then compared to actual results.

Results: Mean predicted work effort was 40.9 (±6.5) %VO2max). Seven participants were classified as ‘low risk’ and the remaining 24 as ‘medium risk’. None of the participants deemed to be ‘low risk’ suffered an injury, while five of the 24 (20.8%) of the ‘medium risk’ group suffered an injury.

Conclusion: A modified load carriage equation, could successfully predict successful completion of a recreation hike but with limited sensitivity.
Key Practice Points:
• This load carriage equation could be used in recreational hiking populations, as well as other occupations which require load carriage, to screen for injury risk prior to a load carriage event or as part of return-to-work rehabilitation.

Proposed impact, if any, on the health outcomes of Aboriginal and Torres Strait Islander people: The results of this research are likely to have no greater impact on the Aboriginal and Torres Strait Islander population above that of the non-Indigenous population
Original languageEnglish
Pages168
Publication statusPublished - 17 Oct 2019
EventTRANSFORM 2019 Physiotherapy Conference - Adelaide Convention Centre, Adelaide, Australia
Duration: 17 Oct 201919 Oct 2019
https://transform.physio/
https://transform.physio/wp-content/uploads/2019/09/Abstract_Book_Adelaide_2019.pdf (Abstracts)
https://transform.physio/wp-content/uploads/2019/10/APA_2019_POCKET_PROGRAM_A5_2.pdf%22 (Full Program)

Conference

ConferenceTRANSFORM 2019 Physiotherapy Conference
Abbreviated titleAPA
CountryAustralia
CityAdelaide
Period17/10/1919/10/19
Internet address

Fingerprint

Wounds and Injuries
Population
Recreation
Return to Work
Risk Management
Occupations
Rehabilitation
Body Weight
Costs and Cost Analysis
Health
Research
Surveys and Questionnaires

Cite this

Maupin, D., Mikhail, M., Schram, B., & Orr, R. M. (2019). Predicting Load Carriage Injury Risk in Recreational Hikers. 168. Abstract from TRANSFORM 2019 Physiotherapy Conference, Adelaide, Australia.
Maupin, Daniel ; Mikhail, Monica ; Schram, Ben ; Orr, Rob Marc. / Predicting Load Carriage Injury Risk in Recreational Hikers. Abstract from TRANSFORM 2019 Physiotherapy Conference, Adelaide, Australia.
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Maupin, D, Mikhail, M, Schram, B & Orr, RM 2019, 'Predicting Load Carriage Injury Risk in Recreational Hikers' TRANSFORM 2019 Physiotherapy Conference, Adelaide, Australia, 17/10/19 - 19/10/19, pp. 168.

Predicting Load Carriage Injury Risk in Recreational Hikers. / Maupin, Daniel; Mikhail, Monica; Schram, Ben; Orr, Rob Marc.

2019. 168 Abstract from TRANSFORM 2019 Physiotherapy Conference, Adelaide, Australia.

Research output: Contribution to conferenceAbstractResearchpeer-review

TY - CONF

T1 - Predicting Load Carriage Injury Risk in Recreational Hikers

AU - Maupin, Daniel

AU - Mikhail, Monica

AU - Schram, Ben

AU - Orr, Rob Marc

PY - 2019/10/17

Y1 - 2019/10/17

N2 - Aim: To investigate if an equation can be used to predict load carriage injury risk in recreational hikers and hiking guidesDesign: A prospective cohort studyMethod: Participants (n = 31; age = 41.8±15.4 years, mass = 67.7±12.8kg) for this study were recruited through purposive sampling from a recreational hiking company. Surveys, prior to and after a multiple day hike, were administered investigating current fitness levels, loads carried, body weight and injuries.Individual hike performance data were entered into a modified load carriage energy cost equation to determine the %VO2max work effort (M = 1.5 W + 2.0 (W + L)(L/W)2 + ƞ(W + L)[1.5 V2 + 0.35 VG]+ V2(0.015LH2+0.064LF2)) and the survey data applied to inform a risk management framework level of injuryrisk matrix (very low, low, medium, high or very high risk). Predictions were then compared to actual results.Results: Mean predicted work effort was 40.9 (±6.5) %VO2max). Seven participants were classified as ‘low risk’ and the remaining 24 as ‘medium risk’. None of the participants deemed to be ‘low risk’ suffered an injury, while five of the 24 (20.8%) of the ‘medium risk’ group suffered an injury.Conclusion: A modified load carriage equation, could successfully predict successful completion of a recreation hike but with limited sensitivity.Key Practice Points:• This load carriage equation could be used in recreational hiking populations, as well as other occupations which require load carriage, to screen for injury risk prior to a load carriage event or as part of return-to-work rehabilitation.Proposed impact, if any, on the health outcomes of Aboriginal and Torres Strait Islander people: The results of this research are likely to have no greater impact on the Aboriginal and Torres Strait Islander population above that of the non-Indigenous population

AB - Aim: To investigate if an equation can be used to predict load carriage injury risk in recreational hikers and hiking guidesDesign: A prospective cohort studyMethod: Participants (n = 31; age = 41.8±15.4 years, mass = 67.7±12.8kg) for this study were recruited through purposive sampling from a recreational hiking company. Surveys, prior to and after a multiple day hike, were administered investigating current fitness levels, loads carried, body weight and injuries.Individual hike performance data were entered into a modified load carriage energy cost equation to determine the %VO2max work effort (M = 1.5 W + 2.0 (W + L)(L/W)2 + ƞ(W + L)[1.5 V2 + 0.35 VG]+ V2(0.015LH2+0.064LF2)) and the survey data applied to inform a risk management framework level of injuryrisk matrix (very low, low, medium, high or very high risk). Predictions were then compared to actual results.Results: Mean predicted work effort was 40.9 (±6.5) %VO2max). Seven participants were classified as ‘low risk’ and the remaining 24 as ‘medium risk’. None of the participants deemed to be ‘low risk’ suffered an injury, while five of the 24 (20.8%) of the ‘medium risk’ group suffered an injury.Conclusion: A modified load carriage equation, could successfully predict successful completion of a recreation hike but with limited sensitivity.Key Practice Points:• This load carriage equation could be used in recreational hiking populations, as well as other occupations which require load carriage, to screen for injury risk prior to a load carriage event or as part of return-to-work rehabilitation.Proposed impact, if any, on the health outcomes of Aboriginal and Torres Strait Islander people: The results of this research are likely to have no greater impact on the Aboriginal and Torres Strait Islander population above that of the non-Indigenous population

M3 - Abstract

SP - 168

ER -

Maupin D, Mikhail M, Schram B, Orr RM. Predicting Load Carriage Injury Risk in Recreational Hikers. 2019. Abstract from TRANSFORM 2019 Physiotherapy Conference, Adelaide, Australia.