| 1. |
- Bergsten, Eva L., 1969-, et al.
(författare)
-
Fall and collision related injuries among pedestrians, sickness absence and associations with accident type and occupation
- 2023
-
Ingår i: Journal of Safety Research. - : Elsevier. - 0022-4375 .- 1879-1247. ; 86, s. 357-363
-
Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: This study explores pedestrian fall accidents and collisions with other road users in the Swedish road transport system, and sickness absence (SA) in relation to accident type, injury, and occupation. Further, it studies the associations between accident type, occupation, and duration of SA.METHODS: Data from several national registers were used that included 15,359 working age pedestrians (20-64 years) receiving healthcare after a fall or collision throughout 2014-2016. Individual characteristics, accident type, injury, and occupation were presented and related to SA. Logistic regression was used to estimate odds ratios (OR), with 95% confidence intervals, for associations between accident type, occupation, and SA duration.RESULTS: About 11,000 pedestrians (72%) were involved in fall accidents in the road traffic environment and well over 4,000 in collisions with another road user; 22% of all injured pedestrians had a new SA. The population had a higher proportion of women and individuals in older age groups (≥45). Of the falls, 31% were due to snow or ice, and these were associated with a higher OR for both short SA (<90 days) 1.76 (95% CI 1.56-1.98) and long SA (≥90 days) 1.81 (95% CI 1.51-2.18), compared to the group slipping, tripping, and stumbling. The working sectors health & social care, and construction had the highest ORs for SA. A higher OR was found for health & social care, short SA 1.58 (95% CI 1.38-1.81), long SA 1.79 (95% CI 1.45-2.20) and for construction, short SA 1.56 (95% CI 1.24-1.96), long SA 1.75 (95% CI 1.26-2.44), compared to the sector finance, communication, & cultural service.CONCLUSIONS: The OR for having short and long SA was higher in falls due to snow or ice and differed between occupational sectors.PRACTICAL IMPLICATIONS: This information contributes to the knowledge base for planning a safe road transport system for pedestrians.
|
|
| 3. |
- Kjeldgård, Linnea, 1985-, et al.
(författare)
-
Diagnosis-specific sickness absence among injured working-aged pedestrians: a sequence analysis
- 2023
-
Ingår i: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 23:1, s. 367-
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: The knowledge about the long-term consequences in terms of sickness absence (SA) among pedestrians injured in a traffic-related accident, including falls, is scarce. Therefore, the aim was to explore diagnosis-specific patterns of SA during a four-year period and their association with different sociodemographic and occupational factors among all individuals of working ages who were injured as a pedestrian. METHODS: A nationwide register-based study, including all individuals aged 20-59 and living in Sweden, who in 2014-2016 had in- or specialized outpatient healthcare after a new traffic-related accident as a pedestrian. Diagnosis-specific SA (> 14 days) was assessed weekly from one year before the accident up until three years after the accident. Sequence analysis was used to identify patterns (sequences) of SA, and cluster analysis to form clusters of individuals with similar sequences. Odds ratios (ORs) with 95% confidence intervals (CIs) for association of the different factors and cluster memberships were estimated by multinomial logistic regression. RESULTS: In total, 11,432 pedestrians received healthcare due to a traffic-related accident. Eight clusters of SA patterns were identified. The largest cluster was characterized by no SA, three clusters had different SA patterns due to injury diagnoses (immediate, episodic, and later). One cluster had SA both due to injury and other diagnoses. Two clusters had SA due to other diagnoses (short-term and long-term) and one cluster mainly consisted of individuals with disability pension (DP). Compared to the cluster "No SA", all other clusters were associated with older age, no university education, having been hospitalized, and working in health and social care. The clusters "Immediate SA", "Episodic SA" and "Both SA due to injury and other diagnoses" were also associated with higher odds of pedestrians who sustained a fracture. CONCLUSIONS: This nationwide study of the working-aged pedestrians observed diverging patterns of SA after their accident. The largest cluster of pedestrians had no SA, and the other seven clusters had different patterns of SA in terms of diagnosis (injury and other diagnoses) and timing of SA. Differences were found between all clusters regarding sociodemographic and occupational factors. This information can contribute to the understanding of long-term consequences of road traffic accidents.
|
|
