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Kjeldgård L, Stigson H, Farrants K, Friberg E. Sickness absence and disability pension after road traffic accidents, a nationwide register-based study comparing different road user groups with matched references. Heliyon 2024; 10:e28596. [PMID: 38571629 PMCID: PMC10988042 DOI: 10.1016/j.heliyon.2024.e28596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/15/2024] [Accepted: 03/21/2024] [Indexed: 04/05/2024] Open
Abstract
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). Results A third of all injured road users were bicyclists, 31% were car occupants, 16% were pedestrians (including fall accidents), and 19% were other and unspecified accidents. Pedestrians and other road users were the groups with the highest mean number of SA days during the first year following the accident (51 and 49 days/year respectively). The matched references had between 8 and 13 SA days/year throughout the study period. The excess SA days/year were elevated for all road user groups all five studied years. Excess SA due to injury diagnoses was 15-35 days/year during the first year following the accident. Excess SA due to diagnoses other than injuries were about eight days/year during the whole study period for pedestrians and car occupants and about zero for the bicyclists. The excess DP was low, although it increased every year after the accident for pedestrians and car occupants; for bicyclists no excess DP was seen. Conclusion Higher levels of SA due to injury diagnoses were seen among all road user groups during the first year after the accident compared to their references. Pedestrians and car occupants had more excess SA due to other diagnoses and more excess DP four years after the accident than bicyclists and other road users.
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Affiliation(s)
- Linnea Kjeldgård
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden
| | - Helena Stigson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden
- Division of Vehicle Safety, Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden
- Folksam Research, Folksam Insurance Group, Stockholm, Sweden
| | - Kristin Farrants
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden
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Chen L, Mittendorfer-Rutz E, Björkenstam E, Rahman S, Gustafsson K, Kjeldgård L, Ekselius L, Taipale H, Tanskanen A, Helgesson M. Labour market integration among young adults diagnosed with attention-deficit/hyperactivity disorder (ADHD) at working age. Psychol Med 2024; 54:148-158. [PMID: 37185065 DOI: 10.1017/s003329172300096x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
METHODS Multiple Swedish nationwide registers were used to identify 8045 individuals, aged 20-29, with an incident diagnosis of ADHD 2006-2011. Labour market integration was conceptualized according to the core-peripheral model as a continuum from a strong (core) to a weak (peripheral) connection to the labour market. Sequence analyses categorized clusters of labour market integration, from 1 year before to 5 years after their ADHD diagnosis for individuals diagnosed with ADHD and a matched control group without ADHD. Multinomial logistic regression computed odds ratios (ORs) with 95% confidence intervals (CIs) between sociodemographic factors and comorbid disorders and the identified clusters. RESULTS About one-fourth of the young adults diagnosed with ADHD belonged to clusters characterized by a transition to a mainly peripheral labour market position, which was approximately four-times higher compared to controls without ADHD. Foremost, those living in small cities/villages (OR 1.9; CI 1.5-2.2), those having comorbid autism-spectrum disorder (OR 13.7; CI 6.8-27.5) or schizophrenia/psychoses (OR 7.8; CI 3.8-15.9) were associated with a transition towards a peripheral labour market position throughout the study period. Those with a high educational level (OR 0.1; CI 0.1-0.1), and men (OR 0.7; CI 0.6-0.8) were less likely to have a peripheral labour market position. CONCLUSIONS Young adults diagnosed with ADHD are four-times more likely to be in the peripheral labour market position compared to those without ADHD. To increase labour market participation, special attention is warranted to those with low educational level, those living outside big cities and those with comorbid mental disorders.
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Affiliation(s)
- Lingjing Chen
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Ellenor Mittendorfer-Rutz
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Emma Björkenstam
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Syed Rahman
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Klas Gustafsson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Linnea Kjeldgård
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Lisa Ekselius
- Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Heidi Taipale
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Antti Tanskanen
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
| | - Magnus Helgesson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
- Department of Public Health and Caring Sciences, Health Equity and Working Life, Uppsala University, SE-75237 Uppsala, Sweden
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Perhoniemi R, Blomgren J, Laaksonen M. Unemployed and disabled for work: identifying 3-year labour market pathways from the beginning of a sickness absence using sequence and cluster analyses in a register-based longitudinal study in Finland. BMJ Open 2023; 13:e076435. [PMID: 38151282 PMCID: PMC10753752 DOI: 10.1136/bmjopen-2023-076435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/28/2023] [Indexed: 12/29/2023] Open
Abstract
OBJECTIVES This study followed the labour market pathways of unemployed persons who started a sickness absence (SA) spell. We aimed to unravel subgroups based on altering labour market states and to identify covariates of these subgroups. DESIGN Register-based longitudinal study, with nine labour market states and 36-month units. SETTING AND PARTICIPANTS All Finnish persons aged 18-59 years with an SA in 2016 who were unemployed at the start of the SA spell (N=12 639). OUTCOME MEASURES Sequence analysis was used to study transitions between nine labour market states based on monthly register data on permanent and temporary (full and partial) disability pensions (DP), rehabilitation, all-cause SA, unemployment and employment. Individuals were grouped into clusters based on cluster analysis and intersequence distances. Multinomial regression analysis was used to examine covariates of cluster memberships. RESULTS Six clusters with the following pathway identities were found: (1) recurring unemployment (44%); (2) employment after a short SA (18%); (3) rehabilitation, recurring SA and unemployment (12%); (4) unknown sources of income (11%); (5) permanent DP after a prolonged SA (9%) and (6) temporary DP after a prolonged SA (7%).Compared with the reference cluster 2, all other clusters were associated with less employment days and having a chronic illness before the SA spell, SA based on a mental disorder and a rejected DP application during the follow-up. In addition, the clusters had some unique covariates. CONCLUSIONS Unemployed persons starting an SA are a heterogeneous group, with different labour market pathways. For many, the combination of unemployment and work disability means low chances for employment or regained work ability during the following years. Unemployed persons with poorer health, long history outside employment, older age, low educational level, a rejected DP application and a mental disorder could benefit from targeted support.
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Affiliation(s)
| | - Jenni Blomgren
- Social Insurance Institution of Finland, Helsinki, Finland
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Helgesson M, Kjeldgård L, Björkenstam E, Rahman S, Gustafsson K, Taipale H, Tanskanen A, Ekselius L, Mittendorfer-Rutz E. Sustainable labour market participation among working young adults with diagnosed attention deficit/hyperactivity disorder (ADHD). SSM Popul Health 2023; 23:101444. [PMID: 37691973 PMCID: PMC10492158 DOI: 10.1016/j.ssmph.2023.101444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/03/2023] [Accepted: 06/05/2023] [Indexed: 09/12/2023] Open
Abstract
Background The aims were to study the sustainability of labour-market participation five years after an incident diagnosis of attention-deficit/hyperactivity disorder (ADHD) among young adults with gainful employment, and to examine the impact of sociodemographic-, work- and health-related factors on these findings. Methods Swedish registers identified 2517 individuals, 19-29 years old, with an incident diagnosis of ADHD and gainful employment during 2006-2011. Labour-market participation was measured by the core-peripheral model, a model that measures the connection to the labour market from a weak connection (peripheral) to a strong connection (core). Sequence analysis analysed clusters of labour-market participation, from one year before and up to five years after diagnosis. Odds ratios (OR) with 95% confidence intervals (CI) between sociodemographic factors, comorbid disorders, and the identified clusters were analysed by multinomial logistic regression. Results Five clusters of labour-market participation were identified: 60% of individuals belonged to a cluster that maintained labour-market participation throughout the study period (core, close to core); 20% belonged to a cluster with a transition to a weak connection to the labour market (close to peripheral, peripheral); and 20% belonged to a cluster with "middle" labour-market participation, characterised by having long periods of sick leave and unemployment. Individuals with elementary school as highest attained education (OR:4.03;CI:2.35-6.93), comorbid mental disorders (OR:2.77;CI:2.10-3.66), or living in villages/small cities (OR:1.77;CI:1.25-2.51) were most likely to belong to a cluster transitioning towards a "peripheral" labour-market participation. Men were less likely to have peripheral labour-market participation than women (OR:0.55;CI:0.40-0.75). Conclusions Over half of working individuals with ADHD maintain a strong attachment to the labour market several years after their first diagnosis of ADHD. Therefore, it is important to target those who have problems maintaining a position in the labour market, including women, those with low educational levels, and those living outside large cities.
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Affiliation(s)
- Magnus Helgesson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Department of Public Health and Caring Sciences, Health Equity and Working Life, Uppsala University, SE-752 37, Uppsala, Sweden
| | - Linnea Kjeldgård
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
| | - Emma Björkenstam
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Department of Medical Sciences, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Syed Rahman
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
| | - Klas Gustafsson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
| | - Heidi Taipale
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Antti Tanskanen
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
| | - Lisa Ekselius
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Ellenor Mittendorfer-Rutz
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
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Perhoniemi R, Blomgren J, Laaksonen M. Identifying labour market pathways after a 30-day-long sickness absence -a three-year sequence analysis study in Finland. BMC Public Health 2023; 23:1102. [PMID: 37287018 DOI: 10.1186/s12889-023-15895-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 05/15/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Return-to-work (RTW) process often includes many phases. Still, multi-state analyses that follow relevant labour market states after a long-term sickness absence (LTSA), and include a comprehensive set of covariates, are scarce. The goal of this study was to follow employment, unemployment, sickness absence, rehabilitation, and disability pension spells using sequence analysis among all-cause LTSA absentees. METHODS Register data covered full-time and partial sickness allowance, rehabilitation, employment, unemployment benefits, and permanent and temporary disability pension (DP), retrieved for a 30% representative random sample of Finnish 18-59 years old persons with a LTSA in 2016 (N = 25,194). LTSA was defined as a ≥ 30-day-long full-time sickness absence spell. Eight mutually exclusive states were constructed for each person and for 36 months after the LTSA. Sequence analysis and clustering were used to identify groups with different labour market pathways. In addition, demographic, socioeconomic, and disability-related covariates of these clusters were examined using multinomial regressions. RESULTS We identified five clusters with emphases on the different states: (1) rapid RTW cluster (62% of the sample); (2) rapid unemployment cluster (9%); (3) DP after a prolonged sickness absence cluster (11%); (4) immediate or late rehabilitation cluster (6%); (5) other states cluster (6%). Persons with a rapid RTW (cluster 1) had a more advantaged background than other clusters, such as a higher frequency of employment and less chronic diseases before LTSA. Cluster 2 associated especially with pre-LTSA unemployment and lower pre-LTSA earnings. Cluster 3 was associated especially with having a chronic illness before LTSA. Those in cluster 4 were on average younger and had a higher educational level than others. Especially clusters 3 and 4 were associated with a LTSA based on mental disorders. CONCLUSIONS Among long-term sickness absentees, clear groups can be identified with both differing labour market pathways after LTSA and differing backgrounds. Lower socioeconomic background, pre-LTSA chronic diseases and LTSA caused by mental disorders increase the likelihood for pathways dominated by long-term unemployment, disability pensioning and rehabilitation rather than rapid RTW. LTSA based on a mental disorder can especially increase the likelihood for entering rehabilitation or disability pension.
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Affiliation(s)
- Riku Perhoniemi
- The Social Insurance Institution of Finland, +358504072270 Nordenskiöldinkatu 12, Helsinki, 00250, Finland.
| | - Jenni Blomgren
- The Social Insurance Institution of Finland, +358504072270 Nordenskiöldinkatu 12, Helsinki, 00250, Finland
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Kjeldgård L, Stigson H, Bergsten EL, Farrants K, Friberg E. Diagnosis-specific sickness absence among injured working-aged pedestrians: a sequence analysis. BMC Public Health 2023; 23:367. [PMID: 36803378 PMCID: PMC9942404 DOI: 10.1186/s12889-023-15259-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 02/10/2023] [Indexed: 02/22/2023] Open
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.
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Affiliation(s)
- Linnea Kjeldgård
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Helena Stigson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Division of Vehicle Safety, Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden
- Folksam Research, Folksam Insurance Group, Stockholm, Sweden
| | - Eva L. Bergsten
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Faculty of Health and Occupational Studies, Department of Occupational Health Sciences and Psychology, University of Gävle, 801 76 Gävle, Sweden
| | - Kristin Farrants
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
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Ropponen A, Josefsson P, Böckerman P, Silventoinen K, Narusyte J, Wang M, Svedberg P. Sustainable Working Life Patterns in a Swedish Twin Cohort: Age-Related Sequences of Sickness Absence, Disability Pension, Unemployment, and Premature Death during Working Life. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10549. [PMID: 36078264 PMCID: PMC9517844 DOI: 10.3390/ijerph191710549] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/17/2022] [Accepted: 08/19/2022] [Indexed: 06/15/2023]
Abstract
We aimed to investigate sustainable working life via age-related sequences of sickness absence (SA), disability pension (DP), unemployment (UE), premature death, and the influence of individual characteristics, accounting for familial confounding. The sample included monozygotic (MZ) and dizygotic (DZ) same-sexed twin pairs with register data (n = 47,450) that were followed for 10 years in four age cohorts: 26-35 (n = 9892), 36-45 (n = 10,620), 46-55 (n = 12,964) and 56-65 (n = 13,974). A sequence analysis was done in a 7-element state space: 1. "Sustainable working life": SA/DP 0-30 days and UE 0-90 days; 2. "Unemployment >90 days": SA/DP 0-30 days and UE > 90 days; 3. "Moderate SA/DP": SA/DP 30-180 days; 4. "Almost full year of SA/DP": SA/DP 180-365 days; 5. "Full year of SA/DP": SA/DP ≥ 365 days; 6. Death; 7. Old-age pension. The largest cluster had a sustainable working life and never experienced states 2-6 (34-59%). Higher education and being married predicted a lower likelihood of experiencing states 2-6. The MZ twin pairs (vs. DZ) were more often in the same cluster suggesting the role of genetic factors. To conclude, the sustainable working life was the largest cluster group. Few individuals had prolonged periods of interruptions of sustainable working life meriting actions, especially in early adulthood for interventions to support workability.
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Affiliation(s)
- Annina Ropponen
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
- Finnish Institute of Occupational Health, 00032 Työterveyslaitos, Finland
| | - Pontus Josefsson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Petri Böckerman
- IZA Institute of Labor Economics, 53113 Bonn, Germany
- School of Business and Economics, University of Jyväskylä, 40014 Jyväskylä, Finland
- Labour Institute for Economic Research LABORE, 00100 Helsinki, Finland
| | - Karri Silventoinen
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, 00014 Helsinki, Finland
| | - Jurgita Narusyte
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
- Center of Epidemiology and Community Medicine, Stockholm County Council, 104 31 Stockholm, Sweden
| | - Mo Wang
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Pia Svedberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
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Kjeldgård L, Stigson H, Klingegård M, Alexanderson K, Friberg E. Sickness absence and disability pension among injured working-aged pedestrians - a population-based Swedish register study. BMC Public Health 2021; 21:2279. [PMID: 34906115 PMCID: PMC8670103 DOI: 10.1186/s12889-021-12312-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/23/2021] [Indexed: 11/23/2022] Open
Abstract
Background The knowledge is scarce about sickness absence (SA) and disability pension (DP) among pedestrians injured in a traffic-related accident, including falls. Thus, the aim was to explore the frequencies of types of accidents and injuries and their association with SA and DP among working-aged individuals. Methods A nationwide register-based study, including all individuals aged 16-64 and living in Sweden, who in 2010 had in- or specialized outpatient healthcare after a new traffic-related accident as a pedestrian. Information on age, sex, sociodemographics, SA, DP, type of accident, injury type, and injured body region was used. Frequencies of pedestrians with no SA or DP, with ongoing SA or full-time DP already at the time of the accident, and with a new SA spell >14 days in connection to the accident were analyzed. Crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for new SA were estimated by logistic regression. Results In total, 5576 pedestrians received healthcare due to a traffic-related accident (of which 75% were falls, with half of the falls related to snow and ice). At the time of the accident, 7.5% were already on SA and 10.8% on full-time DP, while 20% started a new SA spell. The most common types of injuries were fractures (45%) and external injuries (30%). The body region most frequently injured was the lower leg, ankle, foot, and other (in total 26%). Older individuals had a higher OR for new SA compared with younger (OR 1.91; 95% CI 1.44-2.53, for ages: 45-54 vs. 25-34). The injury type with the highest OR for new SA, compared with the reference group external injuries, was fractures (9.58; 7.39-12.43). The injured body region with the highest OR for new SA, compared with the reference group head, face, and neck, was lower leg, ankle, foot, and other (4.52; 2.78-7.36). Conclusions In this explorative nationwide study of the working-aged pedestrians injured in traffic-related accidents including falls, one fifth started a new SA spell >14 days. Fractures, internal injuries, collisions with motor vehicle, and falls related to snow and ice had the strongest associations with new SA.
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Affiliation(s)
- Linnea Kjeldgård
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden.
| | - Helena Stigson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden.,Division of Vehicle Safety, Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden.,Folksam Research, Folksam Insurance Group, Stockholm, Sweden
| | | | - Kristina Alexanderson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden
| | - Emilie Friberg
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77, Stockholm, Sweden
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