TY - JOUR AU - Keay Lisa AU - Ivers R. AU - Coxon K. AU - Clarke E. AU - Brown J. AU - Chevalier A. AU - Rogers K. AU - Chevalier A. AU - Wall J. AB -

There is little objective evidence about the extent older drivers' are involved in speeding or factors that may influence this behaviour. Particular concern exists for the increasing number of older drivers with poor or declining cognitive and visual function. This study investigates whether a reduction in speeding forms part of the self-restrictive driving behaviour evident when older drivers experience poor cognitive and visual function. Driving data over 12 months were collected from 182 volunteers aged 75-94years. Driving speed was estimated using Global Positioning System location, and speed limit data was based on a service-provider database. Speed events were defined as driving 1km/h or more, with 3% tolerance, above a single speed limit, averaged over 30s. Almost all participants (99%) were involved in speed events. While, 16-31% of participants experienced a meaningful decline in cognitive or visual function during the 12-months, these declines were not predictive of a change in speed events. Our results indicate speeding behaviour in this age group was highly prevalent, but less so for the oldest drivers whereby the rate of speed events was 7% lower per year older (IRR=0.93, 95%CI=0.89-0.96). Older drivers with worse function were less involved in speed events (unadjusted for distance driven) during 12 months of observation. Weekly distance driven decreased over the year by approximately 0.45km with every week of monitoring for these older drivers. When distance driven was taken into account, decreased function was not predictive of involvement in speed events, indicating the reduction in speed events may be achieved by older drivers with lower function reducing distance driven. These results are important for developing policy to address speeding behaviour of the growing population of older drivers to reduce the incidence of crashes and resulting casualties.

AD - The George Institute for Global Health, Sydney Medical School, The University of Sydney, GPO Box 5389, Sydney, NSW 2001, Australia. Electronic address: achevalier@georgeinstitute.org.au.
The George Institute for Global Health, Sydney Medical School, The University of Sydney, GPO Box 5389, Sydney, NSW 2001, Australia; School of Science and Health, Western Sydney University, Australia. Electronic address: kcoxon@georgeinstitute.org.au.
The George Institute for Global Health, Sydney Medical School, The University of Sydney, GPO Box 5389, Sydney, NSW 2001, Australia. Electronic address: krogers@georgeinstitute.org.au.
Safer Roads Consulting, 53 Lachlan St., Thirroul, NSW 2515, Australia. Electronic address: aran.chevalier@saferroadsconsulting.com.au.
The Centre for Road Safety, Transport for NSW, Road Safety Technology, Level 3, 84 Crown St., Wollongong, NSW 2500, Australia. Electronic address: john.wall@transport.nsw.gov.au.
Neuroscience Research Australia (NeuRA), Margarete Ainsworth Building, Barker St., Randwick, NSW 2031, Australia. Electronic address: j.brown@neura.edu.au.
Kolling Institute of Medical Research, Sydney Medical School, The University of Sydney, Level 10, Kolling Building 6, Royal North Shore Hospital, St. Leonards, NSW 2065, Australia. Electronic address: elizabeth.clarke@sydney.edu.au.
The George Institute for Global Health, Sydney Medical School, The University of Sydney, GPO Box 5389, Sydney, NSW 2001, Australia. Electronic address: rivers@georgeinstitute.org.au.
The George Institute for Global Health, Sydney Medical School, The University of Sydney, GPO Box 5389, Sydney, NSW 2001, Australia. Electronic address: lkeay@georgeinstitute.org.au. AN - 27163701 BT - Accident Analysis and Prevention DP - NLM ET - 2016/05/11 LA - Eng LB - AUS
INJ
FY16 N1 - Chevalier, Anna
Coxon, Kristy
Rogers, Kris
Chevalier, Aran John
Wall, John
Brown, Julie
Clarke, Elizabeth
Ivers, Rebecca
Keay, Lisa
Accid Anal Prev. 2016 May 7;93:41-47. doi: 10.1016/j.aap.2016.04.006. N2 -

There is little objective evidence about the extent older drivers' are involved in speeding or factors that may influence this behaviour. Particular concern exists for the increasing number of older drivers with poor or declining cognitive and visual function. This study investigates whether a reduction in speeding forms part of the self-restrictive driving behaviour evident when older drivers experience poor cognitive and visual function. Driving data over 12 months were collected from 182 volunteers aged 75-94years. Driving speed was estimated using Global Positioning System location, and speed limit data was based on a service-provider database. Speed events were defined as driving 1km/h or more, with 3% tolerance, above a single speed limit, averaged over 30s. Almost all participants (99%) were involved in speed events. While, 16-31% of participants experienced a meaningful decline in cognitive or visual function during the 12-months, these declines were not predictive of a change in speed events. Our results indicate speeding behaviour in this age group was highly prevalent, but less so for the oldest drivers whereby the rate of speed events was 7% lower per year older (IRR=0.93, 95%CI=0.89-0.96). Older drivers with worse function were less involved in speed events (unadjusted for distance driven) during 12 months of observation. Weekly distance driven decreased over the year by approximately 0.45km with every week of monitoring for these older drivers. When distance driven was taken into account, decreased function was not predictive of involvement in speed events, indicating the reduction in speed events may be achieved by older drivers with lower function reducing distance driven. These results are important for developing policy to address speeding behaviour of the growing population of older drivers to reduce the incidence of crashes and resulting casualties.

PY - 2016 SN - 1879-2057 (Electronic)
0001-4575 (Linking) SP - 41 EP - 47 T2 - Accident Analysis and Prevention TI - A longitudinal investigation of the predictors of older drivers' speeding behaviour VL - 93 Y2 - FY16 ER -