Associations between helmet use and brain injuries amongst injured pedal- and motor-cyclists: A case series analysis of trauma centre presentations
- McIntosh, Andrew, Curtis, Kate, Rankin, Tiffany, Cox, Marie, Pang, Toh Yen, McCrory, Paul, Finch, Caroline
- Authors: McIntosh, Andrew , Curtis, Kate , Rankin, Tiffany , Cox, Marie , Pang, Toh Yen , McCrory, Paul , Finch, Caroline
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of the Australasian College of Road Safety Vol. 24, no. 2 (April 2013), p. 11-20
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Abstract: A retrospective case-series study of pedal- and motorcyclists presenting to a major metropolitan trauma centre over an 18 month period was undertaken. The injury data were coded according to a number of outcome variables, including intracranial injury of AIS severity >/= 2. Helmet use was coded. After stratification by rider type, data were analysed to examine the relationships between helmet use and injury using logistic regression. A total of 220 injured motorcycle riders and 137 injured pedal cyclists met the study's inclusion criteria, with 195 motorcycle riders and passengers (88.6%) and 87 pedal cyclists (63.5%) wearing helmets. Helmets were associated with a significant reduction (p<0.05) in the likelihood of head and intracranial injury in both rider groups. Associated with helmet use was a reduction in intracranial injury likelihood of 66% for both helmeted motorcycle riders and pedal cyclists. The study is further evidence of the benefits offered by helmets.
- Authors: McIntosh, Andrew , Curtis, Kate , Rankin, Tiffany , Cox, Marie , Pang, Toh Yen , McCrory, Paul , Finch, Caroline
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of the Australasian College of Road Safety Vol. 24, no. 2 (April 2013), p. 11-20
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Abstract: A retrospective case-series study of pedal- and motorcyclists presenting to a major metropolitan trauma centre over an 18 month period was undertaken. The injury data were coded according to a number of outcome variables, including intracranial injury of AIS severity >/= 2. Helmet use was coded. After stratification by rider type, data were analysed to examine the relationships between helmet use and injury using logistic regression. A total of 220 injured motorcycle riders and 137 injured pedal cyclists met the study's inclusion criteria, with 195 motorcycle riders and passengers (88.6%) and 87 pedal cyclists (63.5%) wearing helmets. Helmets were associated with a significant reduction (p<0.05) in the likelihood of head and intracranial injury in both rider groups. Associated with helmet use was a reduction in intracranial injury likelihood of 66% for both helmeted motorcycle riders and pedal cyclists. The study is further evidence of the benefits offered by helmets.
Population-level estimates of child restraint practices among children aged 0-12 years in NSW, Australia
- Brown, Julie, Hatfield, Julie, Du, Wei, Finch, Caroline, Bilston, Lynne
- Authors: Brown, Julie , Hatfield, Julie , Du, Wei , Finch, Caroline , Bilston, Lynne
- Date: 2010
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 42, no. 6 (2010), p. 2144-2148
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: This cross-sectional study provides population-referenced data on the restraints used and the extent of incorrect restraint use, among child vehicle passengers aged 0-12 years in NSW, Australia. A multistage stratified cluster sampling plan was used to randomly select vehicles from baby/child health clinics, pre-schools/day care centres, and primary schools across NSW to undergo detailed inspection of restraints used by child occupants within those vehicles. Overall, there were very high restraint usage rates (>99% of sampled children) but fewer than one quarter of children were using the correct size-appropriate restraints. Incorrect use (51.4%) was as common as inappropriate use (51.2%). Incorrect use was highest among users of dedicated child restraint systems (OR 16.0, 95% CI 6.9-36.0), and was more likely among those using size-appropriate restraints than those using inappropriate restraints (OR 1.8 95% CI 1.1-3.2); and among convertible restraints than those designed for a single mode of use (OR 1.5 95% CI 1.2-1.7). As incorrect use substantially reduces the protection from injury that is offered by child restraints, it is important that future strategies to reduce casualties among child occupants target both inappropriate and incorrect use. © 2010 Elsevier Ltd. All rights reserved.
- Authors: Brown, Julie , Hatfield, Julie , Du, Wei , Finch, Caroline , Bilston, Lynne
- Date: 2010
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 42, no. 6 (2010), p. 2144-2148
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: This cross-sectional study provides population-referenced data on the restraints used and the extent of incorrect restraint use, among child vehicle passengers aged 0-12 years in NSW, Australia. A multistage stratified cluster sampling plan was used to randomly select vehicles from baby/child health clinics, pre-schools/day care centres, and primary schools across NSW to undergo detailed inspection of restraints used by child occupants within those vehicles. Overall, there were very high restraint usage rates (>99% of sampled children) but fewer than one quarter of children were using the correct size-appropriate restraints. Incorrect use (51.4%) was as common as inappropriate use (51.2%). Incorrect use was highest among users of dedicated child restraint systems (OR 16.0, 95% CI 6.9-36.0), and was more likely among those using size-appropriate restraints than those using inappropriate restraints (OR 1.8 95% CI 1.1-3.2); and among convertible restraints than those designed for a single mode of use (OR 1.5 95% CI 1.2-1.7). As incorrect use substantially reduces the protection from injury that is offered by child restraints, it is important that future strategies to reduce casualties among child occupants target both inappropriate and incorrect use. © 2010 Elsevier Ltd. All rights reserved.
Statistical modelling for falls count data
- Ullah, Shahid, Finch, Caroline, Day, Lesley
- Authors: Ullah, Shahid , Finch, Caroline , Day, Lesley
- Date: 2010
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 42, no. 2 (2010), p. 384-392
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Falls and their injury outcomes have count distributions that are highly skewed toward the right with clumping at zero, posing analytical challenges. Different modelling approaches have been used in the published literature to describe falls count distributions, often without consideration of the underlying statistical and modelling assumptions. This paper compares the use of modified Poisson and negative binomial (NB) models as alternatives to Poisson (P) regression, for the analysis of fall outcome counts. Four different count-based regression models (P, NB, zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB)) were each individually fitted to four separate fall count datasets from Australia, New Zealand and United States. The finite mixtures of P and NB regression models were also compared to the standard NB model. Both analytical (F, Vuong and bootstrap tests) and graphical approaches were used to select and compare models. Simulation studies assessed the size and power of each model fit. This study confirms that falls count distributions are over-dispersed, but not dispersed due to excess zero counts or heterogeneous population. Accordingly, the P model generally provided the poorest fit to all datasets. The fit improved significantly with NB and both zero-inflated models. The fit was also improved with the NB model, compared to finite mixtures of both P and NB regression models. Although there was little difference in fit between NB and ZINB models, in the interests of parsimony it is recommended that future studies involving modelling of falls count data routinely use the NB models in preference to the P or ZINB or finite mixture distribution. The fact that these conclusions apply across four separate datasets from four different samples of older people participating in studies of different methodology, adds strength to this general guiding principle. © 2009 Elsevier Ltd. All rights reserved.
- Authors: Ullah, Shahid , Finch, Caroline , Day, Lesley
- Date: 2010
- Type: Text , Journal article
- Relation: Accident Analysis and Prevention Vol. 42, no. 2 (2010), p. 384-392
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Full Text:
- Reviewed:
- Description: Falls and their injury outcomes have count distributions that are highly skewed toward the right with clumping at zero, posing analytical challenges. Different modelling approaches have been used in the published literature to describe falls count distributions, often without consideration of the underlying statistical and modelling assumptions. This paper compares the use of modified Poisson and negative binomial (NB) models as alternatives to Poisson (P) regression, for the analysis of fall outcome counts. Four different count-based regression models (P, NB, zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB)) were each individually fitted to four separate fall count datasets from Australia, New Zealand and United States. The finite mixtures of P and NB regression models were also compared to the standard NB model. Both analytical (F, Vuong and bootstrap tests) and graphical approaches were used to select and compare models. Simulation studies assessed the size and power of each model fit. This study confirms that falls count distributions are over-dispersed, but not dispersed due to excess zero counts or heterogeneous population. Accordingly, the P model generally provided the poorest fit to all datasets. The fit improved significantly with NB and both zero-inflated models. The fit was also improved with the NB model, compared to finite mixtures of both P and NB regression models. Although there was little difference in fit between NB and ZINB models, in the interests of parsimony it is recommended that future studies involving modelling of falls count data routinely use the NB models in preference to the P or ZINB or finite mixture distribution. The fact that these conclusions apply across four separate datasets from four different samples of older people participating in studies of different methodology, adds strength to this general guiding principle. © 2009 Elsevier Ltd. All rights reserved.
The effectiveness of an ecodrive course for heavy vehicle drivers
- Symmons, Mark, Rose, Geoffrey, Van Doorn, George
- Authors: Symmons, Mark , Rose, Geoffrey , Van Doorn, George
- Date: 2008
- Type: Text , Conference paper
- Relation: Proceedings of the Australasian Road Safety Research, Policing and Education Conference 2008 p. 1-8
- Full Text:
- Reviewed:
- Description: Amongst other changes, ecodriving requires drivers to drive more smoothly – to “flow” the vehicle. In order to save fuel and reduce emissions drivers must operate at lower engine revolutions, change up gears as soon as possible, and anticipate traffic conditions and drive defensively. A field trial was conducted using a 30 km metropolitan circuit and B-double heavy vehicles. Compared to their pre-course measures, the trained group reduced their fuel consumption by an average of 27%, the number of gear changes by 29%, and the number of brake applications by 41%. Importantly, these gains were not offset by increases in the time taken to complete the circuit – indeed average speed increased slightly. Further, the benefits did not lose any strength 12 weeks after the training, at which point the pilot trial concluded – in fact for some variables the results continued to improve over time. The number of drivers participating in the trial was relatively small and some questions remain unanswered, including actual road safety implications, building a strong case for a larger trial.
- Authors: Symmons, Mark , Rose, Geoffrey , Van Doorn, George
- Date: 2008
- Type: Text , Conference paper
- Relation: Proceedings of the Australasian Road Safety Research, Policing and Education Conference 2008 p. 1-8
- Full Text:
- Reviewed:
- Description: Amongst other changes, ecodriving requires drivers to drive more smoothly – to “flow” the vehicle. In order to save fuel and reduce emissions drivers must operate at lower engine revolutions, change up gears as soon as possible, and anticipate traffic conditions and drive defensively. A field trial was conducted using a 30 km metropolitan circuit and B-double heavy vehicles. Compared to their pre-course measures, the trained group reduced their fuel consumption by an average of 27%, the number of gear changes by 29%, and the number of brake applications by 41%. Importantly, these gains were not offset by increases in the time taken to complete the circuit – indeed average speed increased slightly. Further, the benefits did not lose any strength 12 weeks after the training, at which point the pilot trial concluded – in fact for some variables the results continued to improve over time. The number of drivers participating in the trial was relatively small and some questions remain unanswered, including actual road safety implications, building a strong case for a larger trial.
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