Testing of the eHealth Pain Education after CANcer (PECAN) program for breast cancer survivors with persistent pain

Abstract Objective This study aims to identify factors associated with divorce following breast cancer diagnosis and measures the impact of divorce on the quality of life (QoL) of patients. Methods We used cross-sectional survey data collected at breast cancer outpatient clinics in South Korea from November 2018 to April 2019. Adult breast cancer survivors who completed active treatment without any cancer recurrence at the time of the survey (N = 4,366) were included. The participants were classified into two groups: “maintaining marriage” and “being divorced,” between at the survey and at the cancer diagnosis. We performed logistic regression and linear regression to identify the factors associated with divorce after cancer diagnosis and to compare the QoL of divorced and nondivorced survivors. Results Approximately 11.1/1,000 of married breast cancer survivors experienced divorce after cancer diagnosis. Younger age, lower education, and being employed at diagnosis were associated with divorce. Being divorced survivors had significantly lower QoL (Coefficient [Coef] = −7.50; 95% CI = −13.63, −1.36), social functioning (Coef = −9.47; 95% CI = −16.36, −2.57), and body image (Coef = −8.34; 95% CI = −6.29, −0.39) than survivors who remained married. They also experienced more symptoms including pain, insomnia, financial difficulties, and distress due to hair loss. Conclusion Identifying risk factors of divorce will ultimately help ascertain the resources necessary for early intervention.

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Hippocampal Volume and First Major Depressive Episode After Cancer Diagnosis in Breast Cancer Survivors

American Journal of Psychiatry ◽

10.1176/appi.ajp.161.12.2263 ◽

2004 ◽

Vol 161 (12) ◽

pp. 2263-2270 ◽

Cited By ~ 30

Author(s):

Masatoshi Inagaki ◽

Yutaka Matsuoka ◽

Yuriko Sugahara ◽

Tomohito Nakano ◽

Tatsuo Akechi ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Survivors ◽

Cancer Diagnosis ◽

Depressive Episode ◽

Breast Cancer Survivors ◽

Major Depressive Episode ◽

Hippocampal Volume ◽

Major Depressive ◽

After Cancer

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Life After Cancer Epidemiology (LACE) Study: A cohort of early stage breast cancer survivors (United States)

Cancer Causes & Control ◽

10.1007/s10552-004-8340-3 ◽

2005 ◽

Vol 16 (5) ◽

pp. 545-556 ◽

Cited By ~ 137

Author(s):

Bette Caan ◽

Barbara Sternfeld ◽

Erica Gunderson ◽

Ashley Coates ◽

Charles Quesenberry ◽

...

Keyword(s):

Breast Cancer ◽

United States ◽

Cancer Survivors ◽

Breast Cancer Survivors ◽

Early Stage ◽

Cancer Epidemiology ◽

Early Stage Breast Cancer ◽

After Cancer

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Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors

10.21203/rs.3.rs-20149/v2 ◽

2020 ◽

Author(s):

Kiyomi Mitsui ◽

Motoki Endo ◽

Yuya Imai ◽

Yuito Ueda ◽

Hiroko Ogawa ◽

...

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Sick Leave ◽

Cancer Survivors ◽

Cancer Diagnosis ◽

Breast Cancer Survivors ◽

Breast Cancer Diagnosis ◽

Age At Diagnosis ◽

Breast Cancer Patients ◽

After Cancer

Abstract Background The number of breast cancer patients of working age is increasing in Japan . Consequently, there is a need for support for working individuals concomitantly undergoing breast cancer treatment. The present study aimed to clarify the risk factors for resignation and taking sick leave among breast cancer survivors in continued employment at the time of diagnosis. Methods As part of a Japanese national research project (Endo-Han), the investigators conducted a web-based survey of cancer survivors (CSs) in 2018. The investigators analyzed the risk factors for post-breast cancer diagnosis resignation and sick leave using a logistic regression model, including age at diagnosis, educational level, cancer stage, surgery, pharmacotherapy, radiotherapy, employment status, and occupational type. Results 40 of 269 breast cancer survivors (14.9%) quit their job after cancer diagnosis. Predictors of resignation included lower education level (odds ratio [OR]: 3.802; 95%CI: 1.233-11.729), taking sick leave (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998). Of 229 patients who continued working, sick leave was taken by 72 (31.4%); having surgery was a predictor for taking sick leave (OR: 8.311; 95%CI: 1.007-68.621). Conclusions 14.9% of Japanese employees quit their jobs after being diagnosed with breast cancer. Being younger at breast cancer diagnosis, having lower educational attainment level, and utilizing sick leave were identified as predictors of post-cancer diagnosis resignation. Surgery was associated with the highest risk of taking sick leave. Breast cancer survivors exhibit higher risks for resignation, and may require more carefully follow-up after diagnosis by healthcare providers and employers to protect work sustainability.

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2122

Journal of Clinical and Translational Science ◽

10.1017/cts.2017.96 ◽

2017 ◽

Vol 1 (S1) ◽

pp. 24-24

Author(s):

Lisa M. Shandley ◽

Lauren M. Daniels ◽

Jessica B. Spencer ◽

Ann C. Mertens ◽

Penelope P. Howards

Keyword(s):

Breast Cancer ◽

Cancer Survivors ◽

Unintended Pregnancy ◽

Cancer Diagnosis ◽

Breast Cancer Survivors ◽

The United States ◽

Population Based ◽

Reproductive Age ◽

Bilateral Oophorectomy ◽

After Cancer

OBJECTIVES/SPECIFIC AIMS: In the United States, it is estimated that approximately half of all pregnancies are unintended. This study examines the prevalence of unintended pregnancy in a cohort of cancer survivors and identifies factors associated with unintended pregnancy after cancer. METHODS/STUDY POPULATION: The FUCHSIA Women’s Study is a population-based study of female cancer survivors at a reproductive age of 22–45 years. Cancer survivors diagnosed between the ages of 20 and 35 years and at least 2 years postdiagnosis were recruited in collaboration with the Georgia Cancer Registry. Participants were interviewed about their reproductive histories. The prediagnosis analysis included all women who completed the interview; the postdiagnosis analysis excluded those who had a hysterectomy, bilateral oophorectomy, or tubal ligation by cancer diagnosis. RESULTS/ANTICIPATED RESULTS: Of the 1282 survivors interviewed, 57.5% reported at least 1 pregnancy before cancer diagnosis; of which, 44.5% were unintended. Of the 1088 survivors included in the postdiagnosis analysis, 36.9% reported a post-cancer pregnancy. Among those who had a pregnancy after cancer diagnosis, 38.6% reported at least 1 pregnancy was unintended. Of the 80 breast cancer survivors who had a pregnancy after diagnosis, 52.5% of them were unintended. Predictors of unintended pregnancy in cancer survivors included being younger than 30 years at diagnosis [odds ratio (OR) 2.1; 95% confidence interval (CI) 1.4, 2.9], identifying as Black (OR 1.6, 95% CI 1.1, 2.3, comparison: White), and having resumption of menses after cancer treatment (OR 8.1, 95% CI 2.0, 33.0). Compared with being <4 years from cancer diagnosis, those who were farther from diagnosis at the time of the interview also had increased odds of unintended pregnancy (4–7 years: OR 1.5, 95% CI 0.9, 2.7; 8–10 years: OR 1.3, 95% CI 0.7, 2.4; >10 years: OR 2.7, 95% CI 1.6, 4.7). DISCUSSION/SIGNIFICANCE OF IMPACT: Despite being at higher risk of infertility, cancer survivors may still be at considerable risk of unintended pregnancy. Women with certain types of cancer that are more likely to be hormone responsive, such as some types of breast cancer, may be hesitant to use hormonal birth control and thus be at higher risk of unintended pregnancy. Counseling for cancer survivors should include a discussion of the risk of unintended pregnancy and contraceptive options.

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Active living after cancer: Adaptation and evaluation of a community‐based physical activity program for minority and medically underserved breast cancer survivors

Cancer ◽

10.1002/cncr.33904 ◽

2021 ◽

Author(s):

Irene M. Tami‐Maury ◽

Yue Liao ◽

Maria L. Rangel ◽

Leticia A. Gatus ◽

Eileen H. Shinn ◽

...

Keyword(s):

Breast Cancer ◽

Physical Activity ◽

Cancer Survivors ◽

Breast Cancer Survivors ◽

Physical Activity Program ◽

Medically Underserved ◽

Active Living ◽

Community Based ◽

Activity Program ◽

After Cancer

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Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors

10.21203/rs.3.rs-20149/v1 ◽

2020 ◽

Author(s):

Kiyomi Mitsui ◽

Motoki Endo ◽

Yuya Imai ◽

Yuito Ueda ◽

Hiroko Ogawa ◽

...

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Sick Leave ◽

Cancer Survivors ◽

Cancer Diagnosis ◽

Breast Cancer Survivors ◽

Breast Cancer Diagnosis ◽

Age At Diagnosis ◽

Breast Cancer Patients ◽

After Cancer

Abstract Background The number of breast cancer patients of working age is increasing in Japan . Consequently, there is a need for support for working individuals concomitantly undergoing breast cancer treatment. The present study aimed to clarify the risk factors for resignation and taking sick leave among breast cancer survivors in continued employment at the time of diagnosis. Methods As part of a Japanese national research project (Endo-Han), the investigators conducted a web-based survey of cancer survivors (CSs) in 2018. The investigators analyzed the risk factors for post-breast cancer diagnosis resignation and sick leave using a logistic regression model, including age at diagnosis, educational level, cancer stage, surgery, pharmacotherapy, radiotherapy, employment status, and occupational type. Results 40 of 269 breast cancer survivors (14.9%) quit their job after cancer diagnosis. Predictors of resignation included lower education level (odds ratio [OR]: 3.802; 95%CI: 1.233-11.729), taking sick leave (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998). Of 229 patients who continued working, sick leave was taken by 72 (31.4%); having surgery was a predictor for taking sick leave (OR: 8.311; 95%CI: 1.007-68.621). Conclusions 14.9% of Japanese employees quit their jobs after being diagnosed with breast cancer. Being younger at breast cancer diagnosis, having lower educational attainment level, and utilizing sick leave were identified as predictors of post-cancer diagnosis resignation. Surgery was associated with the highest risk of taking sick leave. Breast cancer survivors exhibit higher risks for resignation, and may require more carefully follow-up after diagnosis by healthcare providers and employers to protect work sustainability.

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