Lingjing Chen1, Kristina A E Alexanderson1. 1. Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Abstract
OBJECTIVES: Working-aged colorectal cancer (CRC) patients have a much better survival, indicating the importance of their future work situation. We investigated trajectories of sickness absence and disability pension (SADP) days before and after CRC diagnosis, 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), "slight increase after diagnosis" (27%), "high then decrease moderately after diagnosis" (13%), and "constantly very high" (8%). Educational level, Charlson's Comorbidity Index, and prediagnostic mental disorders 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. CONCLUSION: Approximately 80% of CRC survivors return to a low level of SADP at 5 years postdiagnosis. Prediagnostic status of mental disorders, somatic comorbidity, and low educational level are good indicators of future high SADP levels for them. CRC survivors will benefit from early rehabilitation programs with identified risk factors.
OBJECTIVES: Working-aged colorectal cancer (CRC) patients have a much better survival, indicating the importance of their future work situation. We investigated trajectories of sickness absence and disability pension (SADP) days before and after CRC diagnosis, 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), "slight increase after diagnosis" (27%), "high then decrease moderately after diagnosis" (13%), and "constantly very high" (8%). Educational level, Charlson's Comorbidity Index, and prediagnostic mental disorders 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. CONCLUSION: Approximately 80% of CRC survivors return to a low level of SADP at 5 years postdiagnosis. Prediagnostic status of mental disorders, somatic comorbidity, and low educational level are good indicators of future high SADP levels for them. CRC survivors will benefit from early rehabilitation programs with identified risk factors.
Authors: Lingjing Chen; Ingrid Glimelius; Martin Neovius; Sara Ekberg; Anna Martling; Sandra Eloranta; Karin E Smedby Journal: Cancer Epidemiol Biomarkers Prev Date: 2016-04-13 Impact factor: 4.254
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Authors: Fredrik Baecklund; Kristina A E Alexanderson; Ellenor Mittendorfer-Rutz; Lingjing Chen Journal: PLoS One Date: 2022-04-01 Impact factor: 3.240