Literature DB >> 19664437

Urban and rural differences in older drivers' failure to stop at stop signs.

Lisa Keay1, Srichand Jasti, Beatriz Munoz, Kathleen A Turano, Cynthia A Munro, Donald D Duncan, Kevin Baldwin, Karen J Bandeen-Roche, Emily W Gower, Sheila K West.   

Abstract

Our purpose was to determine visual and cognitive predictors for older drivers' failure to stop at stop signs. 1425 drivers aged between ages 67 and 87 residing in Salisbury Maryland were enrolled in a longitudinal study of driving. At baseline, the participants were administered a battery of vision and cognition tests, and demographic and health questionnaires. Five days of driving data were collected with a Driving Monitoring System (DMS), which obtained data on stop signs encountered and failure to stop at stop signs. Driving data were also collected 1 year later (round two). The outcome, number of times a participant failed to stop at a stop sign at round two, was modeled using vision and cognitive variables as predictors. A negative binomial regression model was used to model the failure rate. Of the 1241 who returned for round two, 1167 drivers had adequate driving data for analyses and 52 did not encounter a stop sign. In the remaining 1115, 15.8% failed at least once to stop at stop signs, and 7.1% failed to stop more than once. Rural drivers had 1.7 times the likelihood of not stopping compared to urban drivers. Amongst the urban participants, the number of points missing in the bilateral visual field was significantly associated with a lower failure rate. In this cohort, older drivers residing in rural areas were less likely to stop at stop-sign intersections than those in urban areas. It is possible that rural drivers frequent areas with less traffic and better visibility, and may be more likely to take the calculated risk of not stopping. In this cohort failure to stop at stop signs was not explained by poor vision or cognition. Conversely in urban areas, those who have visual field loss appear to be more cautious at stop signs.

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Year:  2009        PMID: 19664437      PMCID: PMC2726825          DOI: 10.1016/j.aap.2009.06.004

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  28 in total

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Journal:  Accid Anal Prev       Date:  2006-05-22

2.  Driving violations observed: an Australian study.

Authors:  A Ian Glendon
Journal:  Ergonomics       Date:  2007-08       Impact factor: 2.778

3.  Visual fields and driving.

Authors:  Jill E Keeffe; Judith L Charlton
Journal:  Clin Exp Ophthalmol       Date:  2007 Sep-Oct       Impact factor: 4.207

4.  Examining driver behavior using data gathered from red light photo enforcement cameras.

Authors:  C Y David Yang; Wassim G Najm
Journal:  J Safety Res       Date:  2007-06-04

5.  Factors leading to older drivers' intersection crashes.

Authors:  Keli A Braitman; Bevan B Kirley; Susan Ferguson; Neil K Chaudhary
Journal:  Traffic Inj Prev       Date:  2007-09       Impact factor: 1.491

6.  Predicting driving performance in older adults: we are not there yet!

Authors:  Michel Bédard; Bruce Weaver; Peteris Darzins; Michelle M Porter
Journal:  Traffic Inj Prev       Date:  2008-08       Impact factor: 1.491

7.  A prospective, population-based study of the role of visual impairment in motor vehicle crashes among older drivers: the SEE study.

Authors:  Gary S Rubin; Edmond S W Ng; Karen Bandeen-Roche; Penelope M Keyl; Ellen E Freeman; Sheila K West
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-04       Impact factor: 4.799

8.  Visual and cognitive predictors of performance on brake reaction test: Salisbury eye evaluation driving study.

Authors:  Lei Zhang; Kevin Baldwin; Beatriz Munoz; Cynthia Munro; Kathleen Turano; Shirin Hassan; Constantine Lyketsos; Karen Bandeen-Roche; Sheila K West
Journal:  Ophthalmic Epidemiol       Date:  2007 Jul-Aug       Impact factor: 1.648

9.  A multidomain approach for predicting older driver safety under in-traffic road conditions.

Authors:  Joanne M Wood; Kaarin J Anstey; Graham K Kerr; Philippe F Lacherez; Stephen Lord
Journal:  J Am Geriatr Soc       Date:  2008-04-18       Impact factor: 5.562

10.  Cognitive and vision loss affects the topography of the attentional visual field.

Authors:  Shirin E Hassan; Kathleen A Turano; Beatriz Muñoz; Cynthia Munro; Karen Bandeen Roche; Sheila K West
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-05-23       Impact factor: 4.799

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  6 in total

1.  Older drivers and rapid deceleration events: Salisbury Eye Evaluation Driving Study.

Authors:  Lisa Keay; Beatriz Munoz; Donald D Duncan; Daniel Hahn; Kevin Baldwin; Kathleen A Turano; Cynthia A Munro; Karen Bandeen-Roche; Sheila K West
Journal:  Accid Anal Prev       Date:  2012-06-27

Review 2.  Age-related psychophysical changes and low vision.

Authors:  Gislin Dagnelie
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-12-13       Impact factor: 4.799

3.  Safety in numbers: are major cities the safest places in the United States?

Authors:  Sage R Myers; Charles C Branas; Benjamin C French; Michael L Nance; Michael J Kallan; Douglas J Wiebe; Brendan G Carr
Journal:  Ann Emerg Med       Date:  2013-07-23       Impact factor: 5.721

4.  Visual characteristics of elderly night drivers in the Salisbury Eye Evaluation Driving Study.

Authors:  Mona A Kaleem; Beatriz E Munoz; Cynthia A Munro; Emily W Gower; Sheila K West
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-08-03       Impact factor: 4.799

5.  Driving patterns in older adults with glaucoma.

Authors:  Suzanne W van Landingham; Chad Hochberg; Robert W Massof; Emilie Chan; David S Friedman; Pradeep Y Ramulu
Journal:  BMC Ophthalmol       Date:  2013-02-21       Impact factor: 2.209

6.  An assessment of driving fitness in patients with visual impairment to understand the elevated risk of motor vehicle accidents.

Authors:  Shiho Kunimatsu-Sanuki; Aiko Iwase; Makoto Araie; Yuki Aoki; Takeshi Hara; Toru Nakazawa; Takuhiro Yamaguchi; Hiroshi Ono; Tomoyuki Sanuki; Makoto Itoh
Journal:  BMJ Open       Date:  2015-02-27       Impact factor: 2.692

  6 in total

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