Divorce after breast cancer diagnosis and its impact on quality of life

2021 ◽  
pp. 1-6
Author(s):  
Danbee Kang ◽  
Nayeon Kim ◽  
Gayeon Han ◽  
Sooyeon Kim ◽  
Hoyoung Kim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Factors Associated ◽  
After Cancer ◽  
The Impact

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.

scholarly journals The impact of chronic comorbidities at the time of breast cancer diagnosis on quality of life, and emotional health following treatment in Canada

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256536
Author(s):  
Jasleen Arneja ◽  
Jennifer D. Brooks
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Chronic Condition ◽  
Breast Cancer Survivors ◽  
Emotional Health ◽  
Breast Cancer Diagnosis ◽  
The Impact

Introduction Advances in breast cancer screening and treatment have led to an increasing number of breast cancer survivors. The objective of this study was to determine the impact of comorbidities on self-reported quality of life (QOL) and emotional health following a breast cancer diagnosis and treatment. Methods Women with a personal history of breast cancer (N = 3,372) were identified from the cross-sectional Canadian Partnership Against Cancer (CPAC) Experiences of Cancer Patients in Transitions Survey. Multinomial (nominal) logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for the relationship between burden of comorbidities and overall QOL and emotional health (very poor/poor, fair, good, very good). Results Of the 3,372 participants, 57% reported at least one chronic condition at the time of breast cancer diagnosis. As the number of chronic conditions at diagnosis increased, the odds of reporting worse quality of life and emotional health following treatment also increased. Specifically, compared to women reporting very good QOL, for each additional chronic condition, women reported significantly higher odds of reporting good (OR = 1.22, 95% CI: 1.12, 1.32), fair (OR = 1.76, 95% CI: 1.58, 1.96), or poor/very poor (OR = 2.31, 95% CI: 1.86, 2.88) QOL. Similarly, for each additional comorbidity, women reported significantly higher odds of reporting good (OR = 1.17, 95% CI: 1.07, 1.28), fair (OR = 1.63, 95% CI: 1.46, 1.82), or poor/very poor (OR = 2.17, 95% CI: 1.81, 2.60) emotional health, relative to very good emotional health. Conclusion Breast cancer survivors coping with a high comorbidity burden experience worse overall QOL and emotional health following treatment. This highlights the importance of integrating information on comorbidities into survivorship care to improve the experience and overall outcomes of patients with complex needs.

Examining the Relationship Between Diagnosis Factors, Perceived Social Support, Internal Control, and Quality of Life Among Female Breast Cancer Survivors

2020 ◽  
Vol 31 (1) ◽  
Author(s):  
Liliana Rojas-Guyler ◽  
Amy Weber ◽  
Keith King ◽  
Christopher Swoboda ◽  
Rebecca Vidourek
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Internal Control ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Female Breast Cancer ◽  
The Relationship

Several factors have been identified in the literature to affect quality of life among breast cancer survivors. This study examined the relationship between breast cancer diagnosis factors, perceived social support, internal control, and breast cancer survivors’ quality of life via an online survey (N=252). Results of this exploratory study show that older age at diagnosis was correlated with higher quality of life and psychological wellbeing. Although results showed relatively high levels of social and family support, no statistical correlation was found between support and quality of life. Participants had confidence in their ability to perform tasks and manage their thoughts and behaviors in order to effectively navigate their life struggles and decisions. Additionally, seven breast cancer diagnosis factors appeared to impact overall quality of life or areas of well-being: age at diagnosis, time since diagnosis, type of breast cancer surgery, current treatment status, second breast cancer diagnosis, support group attendance, and breast cancer mutation testing. Findings from this study indicate that there are factors that impact quality of life of female breast cancer survivors. Health educators are specially positioned to develop partnerships with survivors and collaborate in support program development, implementation and continuing professional development.

scholarly journals The impact of age on changes in quality of life among breast cancer survivors treated with breast-conserving surgery and radiotherapy

2015 ◽  
Vol 112 (4) ◽  
pp. 636-643 ◽  
Author(s):  
E J Bantema-Joppe ◽  
G H de Bock ◽  
M Woltman-van Iersel ◽  
D M Busz ◽  
A V Ranchor ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Breast Conserving Surgery ◽  
The Impact

The impact of a second breast cancer diagnosis on health related quality of life

2005 ◽  
Vol 92 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Andrea A. Thornton ◽  
Lisa Madlensky ◽  
Shirley W. Flatt ◽  
Robert M. Kaplan ◽  
John P. Pierce ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Second Breast Cancer ◽  
The Impact

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

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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