scholarly journals Trajectories of sickness absence and disability pension in the 2 years before and 3 years after breast cancer diagnosis: A Swedish longitudinal population‐based cohort study

Cancer ◽  
2020 ◽  
Vol 126 (12) ◽  
pp. 2883-2891
Author(s):  
Lingjing Chen ◽  
Kristina A. E. Alexanderson
2017 ◽  
Vol 35 (18) ◽  
pp. 2044-2052 ◽  
Author(s):  
Pia Kvillemo ◽  
Ellenor Mittendorfer-Rutz ◽  
Richard Bränström ◽  
Kerstin Nilsson ◽  
Kristina Alexanderson

Purpose To explore future diagnosis-specific sickness absence and disability pension among women with breast cancer compared with women without breast cancer. Also, to examine associations with disease-related and sociodemographic factors among those with breast cancer. Methods Longitudinal register data on 3,547 women living in Sweden (age 20 to 65 years) who were first diagnosed with breast cancer in 2005, and a matched comparison cohort (n = 14,188), were analyzed for the annual prevalence of diagnosis-specific sickness absence and disability pension over 5 years. Logistic regressions were used to explore associations of disease-related and sociodemographic factors with future sickness absence and disability pension among women with breast cancer. Results Immediately after being diagnosed with breast cancer, the proportion of women with sickness absence was high but decreased continuously from the 1st through 5th year after diagnosis (71%, 40%, 30%, 22%, and 19%, respectively). In comparison, the range for women without breast cancer was 17% to 11%, respectively. The higher prevalence of sickness absence after breast cancer was mainly a result of breast cancer diagnosis, not a mental diagnosis, or other somatic diagnoses. Advanced cancer at diagnosis, > 90 days sickness absence before diagnosis, low education, and being born outside Sweden were associated with higher odds ratios for sickness absence and disability pension (odds ratio range, 1.40 to 6.45). Conclusion The level of sickness absence increased substantially in women with breast cancer during the first year after diagnosis and approached the level of breast cancer–free women in the following years; however, even in the first year, most women were not on sickness absence for a substantial time, and even in high-risk groups, many were not on sickness absence or disability pension in the following years. Information about relatively low future sickness absence and disability pension levels can be used by patients when planning their work, by health care professionals, and by social insurance officers. Employers and Occupational Health Services need this information to adequately handle workplace adjustments.


BMJ Open ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. e014968 ◽  
Author(s):  
Hannah L Brooke ◽  
Gunilla Ringbäck Weitoft ◽  
Mats Talbäck ◽  
Maria Feychting ◽  
Rickard Ljung

PLoS ONE ◽  
2016 ◽  
Vol 11 (7) ◽  
pp. e0158013 ◽  
Author(s):  
Anette Riisgaard Ribe ◽  
Tinne Laurberg ◽  
Thomas Munk Laursen ◽  
Morten Charles ◽  
Peter Vedsted ◽  
...  

2018 ◽  
Vol 143 (5) ◽  
pp. 1093-1104 ◽  
Author(s):  
Louise Eriksson ◽  
Jonas Bergh ◽  
Keith Humphreys ◽  
Fredrik Wärnberg ◽  
Sven Törnberg ◽  
...  

The Breast ◽  
2014 ◽  
Vol 23 (6) ◽  
pp. 844-851 ◽  
Author(s):  
Marie Høyer Lundh ◽  
Claudia Lampic ◽  
Karin Nordin ◽  
Johan Ahlgren ◽  
Leif Bergkvist ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Chen ◽  
K Alexanderson

Abstract Background Working-aged colorectal cancer (CRC) patients have a much better survival nowadays, indicating the importance of their future work situation. We aimed to investigate trajectories of sickness absence and disability pension (SADP) days before and after CRC diagnosis and in references, and risk factors associated with different trajectories. Methods A longitudinal, population-based matched cohort study of 4735 CRC survivors in Sweden aged 19-62 when first diagnosed with CRC in 2008-2011, and 18,230 matched references was conducted, using microdata linked from several nationwide registers. The annual SADP net days for 2 years before through 5 years after diagnosis date were computed. A group-based trajectory model was used to depict SADP trajectories. Associations between trajectory membership, and sociodemographic and clinical variables were tested by chi2 test and multinomial logistic regression. Results Four trajectories of SADP days/year for CRC survivors were identified: “only increase around diagnosis” (52% of all, n = 2481), “slight increase after diagnosis” (27%), “high then decrease moderately after diagnosis” (13%), and “constantly very high” (8%). Educational level (R2=0.022), Charlson's Comorbidity Index (R2=0.029), and prediagnostic mental disorders (R2=0.066) were the strongest factors determining the SADP trajectory groups. In references, three trajectories (”constantly low” (80% of all), “constantly moderate and decrease gradually” (12%), and “very high then decrease overtime” (8%)) were identified. Conclusions Approximately 80% of CRC survivors return to a low level of SADP (0-60 days/year) at 5 years postdiagnosis. Prediagnostic status of mental disorders, somatic comorbidity, and low educational level are good indicators of future high SADP levels for CRC survivors. Key messages Most of working-age colorectal cancer survivors have low levels of sickness absence and disability pension days five years after their diagnosis. Trajectory analyses based on population-based register data can be used as a good approach in understanding future work situation regarding sick leave among working-age cancer survivors.


2011 ◽  
Vol 39 (5) ◽  
pp. 501-507 ◽  
Author(s):  
Klas Gustafsson ◽  
Gunnel Backenroth-Ohsako ◽  
Ulf Rosenhall ◽  
Elisabeth Ternevall-Kjerulf ◽  
Mats Ulfendahl ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aleksiina Martikainen ◽  
Alice Svensson Alavi ◽  
Kristina Alexanderson ◽  
Kristin Farrants

Abstract Background The proportion of people working beyond age 65 is increasing. We aimed to explore whether sickness absence (SA) and disability pension (DP) due to mental, somatic, or both diagnoses when aged 60–64 were associated with being in paid work when aged 66–71. Methods This prospective population-based cohort study included all 98,551 individuals who in 2010 turned 65 years, lived in Sweden, and were in paid work at some point when aged 60–64. Data from three nationwide registers were used with 2010 as baseline, with SA or/and DP as the exposure variables (2005–2009) and paid work as the outcome variable (2011–2016). Logistic regression was conducted to calculate odds ratios (OR) with 95% confidence intervals (CI) for the association between exposures and outcome, controlling for sociodemographic factors. The analyses were also stratified by sex. Results Nearly half were in paid work during follow-up. Those with SA due to mental diagnoses had lower likelihood of being in paid work among both sexes (women OR: 0.76; 95% CI: 0.69–0.84; men 0.74; 0.65–0.84), while this association was smaller for SA due to somatic diagnoses (women 0.87; 0.84–0.91; men 0.92; 0.89–0.96). SA due to both mental and somatic diagnoses was associated with a lower likelihood of paid work for men (0.77; 0.65–0.91), but not women (0.98; 0.88–1.09). Regardless of diagnosis group and sex, DP had the strongest association with not being in paid work (women mental DP 0.39; 0.34–0.45; women somatic DP 0.38; 0.35–0.41; women mental and somatic DP 0.28; 0.15–0.56; men mental DP 0.36; 0.29–0.43; men somatic DP 0.35; 0.32–0.38; men mental and somatic DP 0.22; 0.10–0.51). Combined SA and/or DP demonstrated ORs in-between the diagnosis groups of SA and DP alone (e.g., mental SA and/or DP women and men combined 0.61; 0.57–0.65). Conclusions SA and DP were negatively associated with being in paid work after the standard retirement age of 65. The association was especially strong for DP, irrespective of diagnosis group. Moreover, compared to somatic diagnoses, SA due to mental diagnoses had a stronger association with not being in paid work. More knowledge is needed on how mental SA impedes extending working life.


2020 ◽  
Vol 148 (2) ◽  
pp. 340-351 ◽  
Author(s):  
Milena Foerster ◽  
Fiona McKenzie ◽  
Annelle Zietsman ◽  
Moses Galukande ◽  
Angelica Anele ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document