Evidence map›Paper›PMID 27747665›Full record

ArticleInjury epidemiology2014

Ground condition as a risk factor in sports injury aetiology studies: the level of concordance between objective and subjective measures.

Dara M Twomey, Lauren A Petrass, John W Orchard, Caroline F Finch

Abstract read
In one paragraph

Article in Injury epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Comparison of lower limb segment forces during running on artificial turf and natural grass.Journal of rehabilitation and assistive technologies engineering
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dara M TwomeyFaculty of Health, Federation University Australia, Mt Helen Campus, Ballarat, 3353, VIC, Australia. d.twomey@federation.edu.au.
Lauren A PetrassFaculty of Health, Federation University Australia, Mt Helen Campus, Ballarat, 3353, VIC, Australia.
John W OrchardSchool of Public Health, University of Sydney, Sydney, 2222, NSW, Australia.
Caroline F FinchAustralian Centre for Research into Injury in Sport and its Prevention (ACRISP), Federation University Australia, Ballarat, 3353, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that the condition and type of sporting ground influences the risk of sports injury. However, the lack of evidence on the relationship between subjective and objective sporting ground condition assessments in sports injury aetiology studies has implications for the development of effective injury prevention strategies. This paper aims to examine concordance between subjectively rated and objective ground hardness and moisture measurements to inform data collection methods for future sports injury aetiology studies.

methodsSubjective, observational assessments of ground hardness and soil moisture were recorded on 36 occasions during an Australian football season using two four-point scales of 'very soft' to 'very hard' and 'very wet' to 'very dry', respectively. Independent, objectively measured hardness and soil moisture were also undertaken at nine locations on the same grounds. The maximum and minimum ground values and the computed average of ground hardness and soil moisture were analysed. Somer's d statistic was calculated to measure the level of concordance between the subjective and objective measures.

resultsA significant, moderate to substantial level of agreement was found between the subjective ratings and the average objective hardness values (d = 0.467, p <0.001), but there was perfect agreement on just less than half of the occasions. The level of concordance between the subjective and objective moisture ratings was low to moderate or trivial for all moisture measures (0.002 < d <0.264, p >0.05).

conclusionsCompared to objective measures, the subjective assessments were more accurate for ground hardness than for soil moisture levels and raters were just as likely to underestimate or overestimate the condition under review. This has implications for future sports injury aetiology studies that include ground condition assessments and particularly the use of subjective measures to underpin the development of future injury prevention strategies.

Indexed as

Ground hardnessInjury aetiologyInjury preventionInjury risk factorsObjective ground measuresSubjective ground rating

Identifiers

PMID27747665
PMCPMC5005679

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.