Marie Hasselberg
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Marie Hasselberg has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Lucie Laflamme
Department of Global Public Health, Karolinska Institutet
4 shared publications Hasselberg M
1 shared publicationMarjan Vaez
1 shared publication
Latest Publications
- 1 January 2005
- Published by Elsevier in Social Science & Medicine
- Vol. 60 (2) , 287-295
Socioeconomic aspects of the circumstances and consequences of car crashes among young adults
- 1 January 2005
- Published by Elsevier in Social Science & Medicine
- Vol. 60 (2) , 287-295
Socioeconomic aspects of the circumstances and consequences of car crashes among young adults
- 1 January 2005
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 37 (1) , 163-168
The social patterning of injury repetitions among young car drivers in Sweden
- 1 January 2005
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 37 (1) , 163-168
The social patterning of injury repetitions among young car drivers in Sweden
- 1 January 2004
- Published by Wiley in Acta Paediatrica
- Vol. 93 (1) , 113-119
Children at risk in traffic: improvement potentials in the Swedish context
Aim: To investigate the social risk distribution and improvement potentials for road traffic injuries among Swedish children by considering three categories of road users. Methods: A population-based cohort study of children aged 1–14 y was carried out. Subjects were taken from the Swedish Population and Housing Census of 1990 (n= 1 406405), and followed-up in the National Hospital Discharge Register for the years 1991–1999 focusing on injuries incurred as pedestrians, bicyclists or car passengers (n= 16084). Household socio-economic position was measured using social class, education and disposable income. Relative risks were calculated using Poisson regression for each measure of socio-economic position and by combining them, adjusting for sex, age of child and age of mother at delivery. Population-attributable risks were compiled for each category of road user and each measure of socio-economic position. Results: Children of farmers and the self-employed are at greater risk for injuries as car passengers (RR 2.40, CI 1.79–3.20 and RR 1.44, CI 1.16–1.79, respectively), but not for pedestrian- and bicycle-related injuries. Children of unskilled workers are at greater risk for pedestrian injuries (RR 1.39, CI 1.15–1.67). Controlling for education and disposable income did not affect the relative risks to the same extent according to the social class and category of road user. The highest population-attributable risks were related to family disposable income and were indicated for pedestrians and car passengers (19–20%). Conclusion: By taking children's limited ability to deal with different types of traffic situations into consideration, considerable improvements in children's risk levels have been observed. Now there is a need to add equity in the road traffic safety equation.
- 1 January 2004
- Published by Wiley in Acta Paediatrica
- Vol. 93 (1) , 113-119
Children at risk in traffic: improvement potentials in the Swedish context
Aim: To investigate the social risk distribution and improvement potentials for road traffic injuries among Swedish children by considering three categories of road users. Methods: A population-based cohort study of children aged 1–14 y was carried out. Subjects were taken from the Swedish Population and Housing Census of 1990 (n= 1 406405), and followed-up in the National Hospital Discharge Register for the years 1991–1999 focusing on injuries incurred as pedestrians, bicyclists or car passengers (n= 16084). Household socio-economic position was measured using social class, education and disposable income. Relative risks were calculated using Poisson regression for each measure of socio-economic position and by combining them, adjusting for sex, age of child and age of mother at delivery. Population-attributable risks were compiled for each category of road user and each measure of socio-economic position. Results: Children of farmers and the self-employed are at greater risk for injuries as car passengers (RR 2.40, CI 1.79–3.20 and RR 1.44, CI 1.16–1.79, respectively), but not for pedestrian- and bicycle-related injuries. Children of unskilled workers are at greater risk for pedestrian injuries (RR 1.39, CI 1.15–1.67). Controlling for education and disposable income did not affect the relative risks to the same extent according to the social class and category of road user. The highest population-attributable risks were related to family disposable income and were indicated for pedestrians and car passengers (19–20%). Conclusion: By taking children's limited ability to deal with different types of traffic situations into consideration, considerable improvements in children's risk levels have been observed. Now there is a need to add equity in the road traffic safety equation.
- 1 September 2003
- Published by Taylor & Francis in Traffic Injury Prevention
- Vol. 4 (3) , 249-254
Socioeconomic Background and Road Traffic Injuries: A Study of Young Car Drivers in Sweden
The aim of this study is to explore the manner in which different measures of original socioeconomic position (SEP) influence road traffic injuries (RTIs) among young car drivers in Sweden. The study consists of young people age 16-23. Subjects were taken from the Swedish Population and Housing Census of 1990 ( n = 727,995), and followed up by a search for cases of injury to car drivers in Sweden's National Hospital Discharge Register over the years 1991-96 ( n = 1,599). Household SEP was measured using social class, education, and disposable income. Relative risks were estimated by Poisson regression and population attributable risks were computed for each measure of SEP. Children of unskilled workers, of the self-employed, and of farmers, as well as children of parents with compulsory education only showed an increased risk of injury as car drivers compared to children in the highest socioeconomic group and children of highly educated parents. By contrast, level of household disposable income was found not to vary with RTI among young drivers. Twenty-five percent of the injuries could be avoided if all young people had the injury rate of the highest socioeconomic group, and 29% if all young people had the injury rate of those with highly educated parents. The reduction of risk differences based on household SEP calls for consideration of factors related to both differential exposure and differential susceptibility, which may be addressed in driver education.
- 1 September 2003
- Published by Taylor & Francis in Traffic Injury Prevention
- Vol. 4 (3) , 249-254
Socioeconomic Background and Road Traffic Injuries: A Study of Young Car Drivers in Sweden
The aim of this study is to explore the manner in which different measures of original socioeconomic position (SEP) influence road traffic injuries (RTIs) among young car drivers in Sweden. The study consists of young people age 16-23. Subjects were taken from the Swedish Population and Housing Census of 1990 ( n = 727,995), and followed up by a search for cases of injury to car drivers in Sweden's National Hospital Discharge Register over the years 1991-96 ( n = 1,599). Household SEP was measured using social class, education, and disposable income. Relative risks were estimated by Poisson regression and population attributable risks were computed for each measure of SEP. Children of unskilled workers, of the self-employed, and of farmers, as well as children of parents with compulsory education only showed an increased risk of injury as car drivers compared to children in the highest socioeconomic group and children of highly educated parents. By contrast, level of household disposable income was found not to vary with RTI among young drivers. Twenty-five percent of the injuries could be avoided if all young people had the injury rate of the highest socioeconomic group, and 29% if all young people had the injury rate of those with highly educated parents. The reduction of risk differences based on household SEP calls for consideration of factors related to both differential exposure and differential susceptibility, which may be addressed in driver education.