Kiyomi Mitsui1, Motoki Endo2, Yuya Imai3, Yuito Ueda3, Hiroko Ogawa3, Go Muto4, Yan Yan5, Gautam A Deshpande6, Yasuhisa Terao7, Satoru Takeda7, Takeshi Tanigawa3, Katsuji Nishimura8, Kazuhiko Hayashi9, Mitsue Saito10, Akatsuki Kokaze1. 1. Department of Hygiene, Public Health, and Preventive Medicine, Showa University, Tokyo, Japan. 2. Department of Public Health, Juntendo University Faculty of Medicine, Tokyo, Japan. phdmotokiendo@gmail.com. 3. Department of Public Health, Juntendo University Faculty of Medicine, Tokyo, Japan. 4. Department of Hygiene, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan. 5. Department of Palliative Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan. 6. Department of General Medicine Juntendo University, Tokyo, Japan. 7. Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, Japan. 8. Department of Psychiatry, Tokyo Women's Medical University School of Medicine, Tokyo, Japan. 9. Department of Chemotherapy and Palliative Care, Tokyo Women's Medical University Hospital, Tokyo, Japan. 10. Department of Breast Oncology, Juntendo University School of Medicine, Tokyo, Japan.
Abstract
BACKGROUND: In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis. METHODS: A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18-69 years who had been diagnosed with breast cancer for the first time at least 1 year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model. RESULTS: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233-11.729), taking SL (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007-68.621). CONCLUSIONS: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.
BACKGROUND: In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis. METHODS: A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18-69 years who had been diagnosed with breast cancer for the first time at least 1 year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model. RESULTS: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233-11.729), taking SL (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007-68.621). CONCLUSIONS: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.
Entities:
Keywords:
Breast cancer survivors; Resignation; Return to work; Sick leave
Authors: C H Paalman; F E van Leeuwen; N K Aaronson; A G E M de Boer; L van de Poll-Franse; H S A Oldenburg; M Schaapveld Journal: Br J Cancer Date: 2016-01-12 Impact factor: 7.640