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.

Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
Loading...
On 23 Dec, 2020
On 21 Dec, 2020
On 01 Dec, 2020
On 28 Nov, 2020
On 28 Nov, 2020
On 28 Nov, 2020
Posted 18 Sep, 2020
On 22 Nov, 2020
Received 07 Oct, 2020
Received 06 Oct, 2020
On 24 Sep, 2020
On 23 Sep, 2020
Invitations sent on 19 Sep, 2020
On 19 Sep, 2020
On 16 Sep, 2020
On 15 Sep, 2020
On 15 Sep, 2020
On 26 Jul, 2020
Received 23 Jul, 2020
Received 19 Jul, 2020
On 03 Jul, 2020
Received 03 Jul, 2020
On 02 Jul, 2020
Invitations sent on 01 Jul, 2020
On 01 Jul, 2020
On 29 Jun, 2020
On 28 Jun, 2020
On 28 Jun, 2020
Received 03 Jun, 2020
On 03 Jun, 2020
Received 31 May, 2020
On 17 May, 2020
On 13 May, 2020
Received 29 Apr, 2020
On 05 Apr, 2020
Invitations sent on 05 Apr, 2020
On 20 Mar, 2020
On 19 Mar, 2020
On 19 Mar, 2020
On 19 Mar, 2020
On 23 Dec, 2020
On 21 Dec, 2020
On 01 Dec, 2020
On 28 Nov, 2020
On 28 Nov, 2020
On 28 Nov, 2020
Posted 18 Sep, 2020
On 22 Nov, 2020
Received 07 Oct, 2020
Received 06 Oct, 2020
On 24 Sep, 2020
On 23 Sep, 2020
Invitations sent on 19 Sep, 2020
On 19 Sep, 2020
On 16 Sep, 2020
On 15 Sep, 2020
On 15 Sep, 2020
On 26 Jul, 2020
Received 23 Jul, 2020
Received 19 Jul, 2020
On 03 Jul, 2020
Received 03 Jul, 2020
On 02 Jul, 2020
Invitations sent on 01 Jul, 2020
On 01 Jul, 2020
On 29 Jun, 2020
On 28 Jun, 2020
On 28 Jun, 2020
Received 03 Jun, 2020
On 03 Jun, 2020
Received 31 May, 2020
On 17 May, 2020
On 13 May, 2020
Received 29 Apr, 2020
On 05 Apr, 2020
Invitations sent on 05 Apr, 2020
On 20 Mar, 2020
On 19 Mar, 2020
On 19 Mar, 2020
On 19 Mar, 2020
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.

Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
Loading...