BMC Public Health (Apr 2021)

Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden

  • Pia K. Kvillemo,
  • Lingjing Chen,
  • Matteo Bottai,
  • Paolo Frumento,
  • Gino Almondo,
  • Ellenor Mittendorfer-Rutz,
  • Emilie Friberg,
  • Kristina A. E. Alexanderson

DOI
https://doi.org/10.1186/s12889-021-10703-1
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 12

Abstract

Read online

Abstract Background Women’s return to work after diagnosis of breast cancer (BC) is becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. The aim of the study was to explore SA and DP before and after a first BC diagnosis and the possibility to predict new cancer-related SA by using disease-related and sociodemographic factors. Methods A longitudinal register study of the 3536 women in Sweden aged 19–64 with a first BC diagnosis in 2010 was conducted by linkage of five nationwide registers. Particularly, detailed information on SA and DP was obtained from the National Social Insurance Agency. Descriptive statistics on SA and DP 2 years before through 3 years after the BC diagnosis were performed. The risk of having a new SA spell due to BC or BC-related diagnoses was modeled using logistic regression. Results The proportion of women with SA increased during the year following the BC diagnosis date and declined over the next 2 years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell > 14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p < 0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. Conclusions SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted.

Keywords