Characteristics of older cyclists (65+) and factors associated with self-reported cycling accidents in the Netherlands |
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| Institution: | 1. Roessingh Research and Development, Roessinghsbleekweg 33, 7522 AH Enschede, The Netherlands;2. Faculty of Engineering Technology, Department of Biomechanical Engineering, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands;3. Medical School Twente, Medisch Spectrum Twente, Enschede, The Netherlands;4. Faculty of Biomedical Signals and Systems, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands;5. Faculty of Behavioural and Social Sciences, Neuropsychology/Traffic Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands;1. Institute for Road Safety Research (SWOV), The Netherlands;2. Dutch Organization for Applied Scientific Research (TNO), The Netherlands;3. Hannover Medical School, Germany;1. SWOV Institute for Road Safety Research, P.O. Box 93113, 2509 AC The Hague, The Netherlands;2. VU University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands;1. Ministry of Infrastructure and the Environment, Rijswijk, The Netherlands;2. Utrecht University, Department of Human Geography & Spatial Planning, Utrecht, The Netherlands;3. SWOV Institute for Road Safety Research, Den Haag, The Netherlands;4. University of New South Wales, School of Mathematics and Statistics, Sydney, Australia;1. Federal Highway Research Institute (BASt), Bruederstr. 53, 51427, Bergisch Gladbach, Germany;2. TU Dortmund University, Faculty of Spatial Planning, Department of Transport Planning, August-Schmidt-Str. 10, 44227, Dortmund, Germany;1. Delft University of Technology, Department of Biomechanical Engineering, Mekelweg 2, 2628 CD Delft, The Netherlands;2. SWOV Institute for Road Safety Research, PO Box 93113, 2509 AC The Hague, The Netherlands;3. Delft University of Technology, Department of Transport & Planning, Stevinweg 1, 2628 CN Delft, The Netherlands;1. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium;2. Fund for Scientific Research Flanders (FWO), Brussels, Belgium;3. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium;4. Physical Activity, Nutrition and Health Research Unit, Department of Movement and Sports Sciences, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Brussels, Belgium;5. Human Physiology Research Group, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Brussels, Belgium |
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| Abstract: | Cycling supports the mobility, health and independency of the ageing population. However, older cyclists have an increased injury risk. On average, the risk of older people to sustain an injury in a cycling accident is three times higher per cycling kilometre than for middle-aged people and the injury risk increases with age. In comparison with middle-aged cyclists (<65 years), the risk of hospitalization is more than four times as high for older cyclists (≥65 years). The aim of this study was to reveal characteristics of older cyclists in general and to explore which of these characteristics are associated with self-reported cycling accidents from age 59. More than eight hundred older cyclists (>65 years) filled out a questionnaire, which included questions on demographics, bicycle specifications and personal characteristics. By means of a logistic regression, the relationship between personal factors and self-reported bicycle falls were studied. The univariate models showed that age, physical and mental impairments, bicycle model, living environment, feelings of uncertainty of the cyclist and changed cycling behaviour (such as more patience, lower speed) were related to falling off a bicycle. From the multivariate model we can conclude that several factors are associated with falling off a bicycle in the older population: (1) every year the cyclists becomes one year older (from the age of 65), the chance they have fallen increases with 7.3%, (2) If cyclists have mental impairments, the chance they have fallen increases with a factor 2.5, (3) if cyclists were less than completely confident the chance they have fallen increases with factor 1.8, (4) if cyclists live in a rural environment compared to an urban environment the chance they have fallen increases with a factor 2.1. In conclusion, demographic, cycling and personal factors can be related to increased self-reported fall risk. It is advised to take these factors into account when implementing new cycling related safety measures. |
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| Keywords: | Cycling safety Self-reported falls Older cyclists Traffic psychology Questionnaire |
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