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Sickness absence and disability pension after road traffic accidents, a nationwide register-based study comparing different road user groups with matched references
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0002-4575-7483
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Division of Vehicle Safety, Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden; Folksam Research, Folksam Insurance Group, Stockholm, Sweden.ORCID iD: 0000-0002-2409-1379
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0001-9595-6627
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0001-7874-4243
2024 (English)In: Heliyon, E-ISSN 2405-8440, Vol. 10, no 7, article id e28596Article in journal (Refereed) Published
Abstract [en]

Background

Being injured in a road traffic accident may affect individuals’ functional ability and in turn lead to sickness absence (SA) and disability pension (DP). Knowledge regarding long-term consequences in terms of SA and DP following a road traffic accident is lacking, especially comparing different groups of road users and compared to the general population. The aim was to estimate excess diagnosis-specific SA and DP among individuals of different road user groups injured in a road traffic accident compared to matched references without such injury.

Methods

A nationwide register-based study, including all working individuals aged 20–59 years and living in Sweden who in 2015 had in- or specialized outpatient healthcare after a new traffic-related injury (n = 20 177) and population-based matched references (matched on: sex, age, level of education, country of birth, living in cities) without any traffic-related injury during 2014–2015 (n = 100 885). Diagnosis-specific (injury and other diagnoses) SA and DP were assessed during 5 years: 1 year before and 4 years following the accident. Mean SA and DP net days/year for each road user group and mean differences of (excess) SA and DP net days/year compared with their matched references were calculated with independent t-tests with bootstrapped 95% confidence intervals (CIs).

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 10, no 7, article id e28596
Keywords [en]
Sick leave, Traffic injury, Fall accidents, Car occupants, Bicyclists, Population-based
National Category
Public Health, Global Health and Social Medicine Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-20951DOI: 10.1016/j.heliyon.2024.e28596ISI: 001215760800001PubMedID: 38571629Scopus ID: 2-s2.0-85188970072OAI: oai:DiVA.org:vti-20951DiVA, id: diva2:1859841
Funder
AFA InsuranceAvailable from: 2024-05-22 Created: 2024-05-22 Last updated: 2025-09-11Bibliographically approved

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Kjeldgård, Linnea

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Kjeldgård, LinneaStigson, HelenaFarrants, KristinFriberg, Emilie
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