A recent large-scale survey of accidents in German veterinary surgeons was
performed. Veterinary work represents a relatively high-risk occupation inv
olving substantial driving throughout the working week (visiting rural farm
s, etc.) with high reported rates of driving accidents and of accidents res
ulting from physical injury through treatment of animals. In this paper the
prediction of both driving and other work-related accidents among veterina
ry surgeons (N = 494) is considered; it is appropriate to consider accident
rates for this group separately, as there is evidence that the main predic
tors of accidents differ between veterinary surgeons and auxiliary veterina
ry personnel. A series of univariate and mutltivariate analyses of the data
indicate that work-related accident occurrence is best predicted by work-r
elated driving distance and risk attitude, with associations also being fou
nd with working hours and stress. Driving accident rate is best predicted b
y risk attitudes, stress and aggression, with associations also being found
with age, number of children, work-related driving distance and safety att
itude. Construction of transactional models suggests models in which the ef
fect of work-related driving distance on driving accident rates is mediated
by risk attitude, whilst the effect of working hours on work-related accid
ents is mediated by stress. A detailed discussion of the general factors wh
ich predict work-related accidents and specific occupational factors which
apply to veterinary workers is also included. Problems associated with the
high degree of intercorrelation between individual difference and occupatio
nal predictors in the interpretation and modelling of accident data are dis
cussed. The implications for practice are also discussed. Copyright (C) 200
0 John Wiley & Sons, Ltd.