Typical patterns in road-traffic accidents during driver training

Berg, Hans-Yngve; Gregersen, Nils Petter; Laflamme, Lucie

doi:10.1016/s0001-4575(03)00068-x

Cited by 27 publications

(18 citation statements)

References 5 publications

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“…45 This same approach has been used to define primary health-care patterns in children, 46 to propose a neighborhood socioeconomic typology based on the social characteristics of the population, 45 and to identify accident patterns at work 47 or on the road. 48 One of the strengths of this study is that we used a detailed physical activity questionnaire specifying the types of LTPAs performed during the preceding year and the duration of each reported activity. Traditional pattern analyses, in the field of physical activity epidemiology, typically examine health outcomes in relation to aggregate physical activity indicators based on broad categories of intensity such as low, moderate or vigorous in different contexts, such as work, leisure or transportation.…”

Section: Discussionmentioning

confidence: 99%

Leisure-time physical activity and sedentary behavior clusters and their associations with overweight in middle-aged French adults

et al. 2010

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Objective: To identify leisure-time physical activity (LTPA) and sedentary behavior patterns, as well as to investigate their relationships with overweight. Design: Cross-sectional study. Subjects: Men (n ¼ 2206) and women (n ¼ 2476) aged 445 years, living in France, enrolled in the SU.VI.MAX (Supplémentation en VItamines et Minéraux AntioXydants) study. Measurements: LTPA and sedentary behavior were assessed using the Modifiable Activity Questionnaire whereas weight and height were measured from study participants. Clusters were defined, by gender, with multiple correspondence analysis and cluster analysis successively, taking into account the type (walking, gardening, etc.) and duration of each physical activity performed, as well as the time spent watching television (TV) as typical sedentary behavior. Logistic regression models were used to assess associations with overweight. Results: Four physical activity and sedentary behavior clusters were identified among men and three among women. We chose as referent cluster the cluster associating 'walking and gardening-low TV' in men and the cluster associating 'walking and gardening-high TV' in women. Compared with the referent cluster and after adjustment for age, education level, smoking status and place of residence, the likelihood of overweight (defined as body mass index X25 kg m À2 ) in women was lower for a 'multiple activity-low TV' cluster (odds ratio (OR) ¼ 0.66, 95% confidence interval ¼ 0.54-0.81) and for a cluster associating 'endurance physical activity-low TV' (OR ¼ 0.42 (0.29-0.60)). Compared with the referent cluster and after adjustment, the likelihood of overweight in men was decreased for the 'endurance physical activity' cluster (OR ¼ 0.66, (0.52-0.84)), whereas no significant association was found with the other clusters. Conclusions: Patterns combining specific types of physical activity and sedentary behavior were identified and differed in their relations to overweight in adults. The identification of global patterns of activity allows us to go beyond a simple decreased activity-increased body weight approach and adds to our understanding of the associations of specific forms and grouping of activity with overweight in adults.

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Section: Discussionmentioning

confidence: 99%

Leisure-time physical activity and sedentary behavior clusters and their associations with overweight in middle-aged French adults

et al. 2010

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“…The last criterion is the informational benefit of adding a class (going down the hierarchy) or eliminating one (rising in the hierarchy). Earlier applications in road injury studies can be found from studies among unlicensed (Berg et al, 2004) and licensed (Hasselberg et al, 2005) young drivers.…”

Section: Methodsmentioning

confidence: 99%

A pattern analysis of traffic crashes fatal to older drivers

Skyving

Berg

Laflamme

2009

Accident Analysis & Prevention

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“…It appears that certain driving circumstances are more common among learner drivers. The study showed that the youngest learners were involved more often in crashes in rural areas, in single and front-on collisions and on roads with high speed limits (Berg et al, 2004;Gregersen et al, 2003). Single and front-on collisions also showed steeper socioeconomic gradients than other types of crashes among drivers aged 18-30 years (Hasselberg et al, 2005).…”

Section: Introductionmentioning

confidence: 91%

“…Analyses of large samples of injuries sustained by learner drivers in all age groups (Berg et al, 2004) and by young adult drivers (Hasselberg et al, 2005) have highlighted some specific patterns of occurrence of crash-induced injuries involving those groups of car drivers: four patterns were identified among the former group and five among the latter. It appears that certain driving circumstances are more common among learner drivers.…”

Section: Introductionmentioning

confidence: 99%