scholarly journals Stress and Quality of Life in Breast Cancer Recurrence: Moderation or Mediation of Coping?

2008 ◽  
Vol 35 (2) ◽  
pp. 188-197 ◽  
Author(s):  
Hae-Chung Yang ◽  
Brittany M. Brothers ◽  
Barbara L. Andersen
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Recurrence ◽  
Breast Cancer Recurrence

scholarly journals Sexual Well-Being Among Partnered Women With Breast Cancer Recurrence

2007 ◽  
Vol 25 (21) ◽  
pp. 3151-3157 ◽  
Author(s):  
Barbara L. Andersen ◽  
Kristen M. Carpenter ◽  
Hae-Chung Yang ◽  
Charles L. Shapiro
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Physical Functioning ◽  
Cancer Recurrence ◽  
Breast Cancer Recurrence ◽  
Controlled Study ◽  
Distant Disease ◽  
Recurrence Group ◽  
Disease Free

Purpose A woman's risk for sexual disruption after breast cancer recurrence has received little clinical or research attention. Patients and Methods Breast cancer patients recently diagnosed with recurrence (n = 60) were initially assessed at baseline and completed follow-ups at 4, 8, and 12 months. They were compared by age, stage, and duration and frequency of follow-up with matched patients who remained disease free (n = 120). Using linear mixed modeling, the groups were compared in their trajectories of change on measures of sexuality, relationship satisfaction, cancer-specific stress, and physical functioning. Recurrence subgroups, those with locoregional versus distant disease and those younger versus older than 52 years, were also compared. Results At baseline, the recurrence group had significantly lower intercourse frequency and physical functioning compared with the disease-free group and these differences were maintained. There were no significant differences in the frequencies of kissing or sexual and relationship satisfactions. For the recurrence group patients, the heightened stress of the diagnostic/early recurrence treatment period declined to the lower disease-free levels by 12 months. This effect was largely due to improvement of the patients with distant disease. Finally, sexual changes were most notable for younger patients. Conclusion To our knowledge, this is the first longitudinal, controlled study of sexuality—sexuality in the context of other quality of life domains—for women coping with recurrence. Despite disruption, patients maintained their sexual lives. Younger and distant recurrence patients, however, may have greatest risk of sexual disruption. The factors contributing to sexual disruption remain unknown, and studies investigating strategies to help patients maintain this aspect of quality of life are needed.

scholarly journals Quality of Life After Breast Cancer Diagnosis and Survival

2011 ◽  
Vol 29 (4) ◽  
pp. 406-412 ◽  
Author(s):  
Meira Epplein ◽  
Ying Zheng ◽  
Wei Zheng ◽  
Zhi Chen ◽  
Kai Gu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Diagnosis ◽  
Cancer Recurrence ◽  
Breast Cancer Diagnosis ◽  
Well Being ◽  
Breast Cancer Recurrence ◽  
Significant Prognostic Factor ◽  
Risk Of Mortality

Purpose To examine the association of quality of life (QOL) after diagnosis of breast cancer with mortality and recurrence. Patients and Methods From 2002 to 2004, a total of 2,230 breast cancer survivors completed the General Quality of Life Inventory-74 6 months after diagnosis as part of the Shanghai Breast Cancer Survivor Study. Also collected at baseline was information on demographic and clinical characteristics. At 36 months postdiagnosis, 1,845 of these women were re-evaluated for QOL. Outcomes were ascertained by in-person interview and record linkage to the vital statistics registry. The association of QOL with total mortality and cancer recurrence was assessed by using Cox regression analysis. Results During a median follow-up of 4.8 years after the 6-month postdiagnosis QOL assessment, 284 deaths were identified. Recurrence was documented in 267 patients after 108 patients with stage IV breast cancer or recurrence before study enrollment were excluded. Women with the highest tertile of social well-being QOL score, compared with those with the lowest score, had a 38% decreased risk of mortality (95% CI, 0.46 to 0.85; P for trend = .002) and a 48% decreased risk of breast cancer recurrence (95% CI, 0.38 to 0.71; P for trend < .001). QOL assessed at 36 months postdiagnosis was not significantly associated with subsequent risk of mortality or recurrence. Conclusion Social well-being in the first year after cancer diagnosis is a significant prognostic factor for breast cancer recurrence or mortality, suggesting a possible avenue of intervention by maintaining or enhancing social support for women soon after their breast cancer diagnosis to improve disease outcomes.

scholarly journals Health variations among breast-cancer patients from different disease states: evidence from China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Qing Yang ◽  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Cancer Recurrence ◽  
Mapping Function ◽  
Health Utility ◽  
Breast Cancer Patients ◽  
Utility Values ◽  
Disease States

Abstract Background This study aimed to obtain health utility parameters among Chinese breast cancer patients in different disease states for subsequent health economics model. In addition, we aimed to explore the feasibility of establishing a breast cancer health utility mapping model in China. Methods Multiple patient-reported health attributes were assessed, including quality of life, which was measured by the Functional Assessment of Cancer Therapy-Breast (FACT-B) instrument; health utility and self-rated health, which were measured by the EuroQol-5 Dimension-5 Level (EQ-5D-5L) questionnaire. Multivariate regression models, including a linear regression model, an ordinal logistic regression model and a Tobit model, were employed to analyze health differences among 446 breast cancer patients. Subgroup analyses were performed to examine differences in multiple dimensions of health derived from the FACT-B and EQ-5D-5L instruments. A mapping function was used to estimate health utility from quality of life. Rank correlation analyses were employed to examine the correlation between estimated and observed health utility values. Results A total of 446 breast cancer patients with different disease states were analyzed. The health utility values of breast cancer patients in the P state (without cancer recurrence and metastasis), R state (with cancer recurrence within a year), S state (with primary and recurrent breast cancer for the second year and above), and M state (metastatic cancer) were 0.81 (SD ± 0.23), 0.90 (SD ± 0.12), 0.78 (SD ± 0.31), and 0.74 (SD ± 0.27), respectively. There were positive correlations between all scores, including every domain of the FACT-B instrument (p < 0.001). Results from multivariate analysis suggested that patients in the R and M states had lower scores for overall quality of life (R, β = − 9.45, p < 0.01; M, β = − 6.72, p < 0.05). Patients in the M state had lower health utility values than patients in the P state (β = − 0.11, p < 0.05). Estimated health utility values, which were derived from quality of life by using a mapping function, were significantly correlated with directly measured health utility values (p < 0.001). Conclusions We obtained the health utility and health-related quality of life (HRQoL) scores of Chinese breast cancer patients in different disease states. Mapping health utility values from quality of life using four disease states could be feasible in health economic modelling, but the mapping function may need further revision.

scholarly journals Health variations among breast-cancer patients from different disease states: Evidence from China

2020 ◽  
Author(s):  
Qing Yang ◽  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Cancer Recurrence ◽  
Mapping Function ◽  
Health Utility ◽  
Breast Cancer Patients ◽  
Utility Values ◽  
Disease States

Abstract Background: The aim of this study was to obtain health utility data for Chinese breast cancer patients in different disease states to obtain important parameters for health economics modelling and to explore the feasibility of establishing a breast cancer health utility mapping model in China.Methods: Multiple patient-reported health attributes were assessed, including quality of life, which was measured by the Functional Assessment of Cancer Therapy-Breast (FACT-B) instrument; health utility and self-rated health, which were measured by the EuroQol-5 Dimension-5 Level (EQ-5D-5L) questionnaire. Multivariate regression models, including a linear regression model, an ordinal logistic regression model and a Tobit model, were employed to analyse health differences among 446 breast cancer patients. Subgroup analyses were performed to analyse differences in the dimensions of health derived from the FACT-B and EQ-5D-5L instruments. A mapping function was used to estimate health utility from quality of life. Rank correlation analyses were employed to examine the correlation between estimated and observed health utility values.Results: A total of 446 breast cancer patients with different disease states were analysed. The health utility values of breast cancer patients in the P state (without cancer recurrence and metastasis), R state (with cancer recurrence within a year), S state (with primary and recurrent breast cancer for the second year and above), and M state (metastatic cancer) were 0.81 (SD±0.23), 0.90 (SD±0.12), 0.78 (SD±0.31), and 0.74 (SD±0.27), respectively. There were positive correlations between all scores, including each domain of the FACT-B instrument (p<0.001). Multivariate analysis suggested that patients in the R and M states had lower scores for overall quality of life (R, β = -9.45, p< 0.01; M, β = -6.72, p<0.05). Patients in the M state had lower health utility values than patients in the P state (β = -0.11, p< 0.05). Estimated health utility values, which were derived from quality of life using a mapping function, were significantly correlated with directly measured health utility values (p<0.001).Conclusions: We obtained the health utility and health-related quality of life (HRQoL) scores of Chinese breast cancer patients with different disease states. Mapping health utility values from quality of life using four disease states could be feasible in health economic modelling, but the mapping function may need further revision.

scholarly journals Health variations among breast-cancer patients from different disease states: Evidence from China

2020 ◽  
Author(s):  
Qing Yang ◽  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Cancer Recurrence ◽  
Mapping Function ◽  
Health Utility ◽  
Breast Cancer Patients ◽  
Utility Values ◽  
Disease States

Abstract Background: This study aimed to obtain health utility parameters among Chinese breast cancer patients in different disease states for subsequent health economics model. In addition, we aimed to explore the feasibility of establishing a breast cancer health utility mapping model in China.Methods: Multiple patient-reported health attributes were assessed, including quality of life, which was measured by the Functional Assessment of Cancer Therapy-Breast (FACT-B) instrument; health utility and self-rated health, which were measured by the EuroQol-5 Dimension-5 Level (EQ-5D-5L) questionnaire. Multivariate regression models, including a linear regression model, an ordinal logistic regression model and a Tobit model, were employed to analyze health differences among 446 breast cancer patients. Subgroup analyses were performed to examine differences in multiple dimensions of health derived from the FACT-B and EQ-5D-5L instruments. A mapping function was used to estimate health utility from quality of life. Rank correlation analyses were employed to examine the correlation between estimated and observed health utility values.Results: A total of 446 breast cancer patients with different disease states were analyzed. The health utility values of breast cancer patients in the P state (without cancer recurrence and metastasis), R state (with cancer recurrence within a year), S state (with primary and recurrent breast cancer for the second year and above), and M state (metastatic cancer) were 0.81 (SD±0.23), 0.90 (SD±0.12), 0.78 (SD±0.31), and 0.74 (SD±0.27), respectively. There were positive correlations between all scores, including every domain of the FACT-B instrument (p<0.001). Results from multivariate analysis suggested that patients in the R and M states had lower scores for overall quality of life (R, β = -9.45, p< 0.01; M, β = -6.72, p<0.05). Patients in the M state had lower health utility values than patients in the P state (β = -0.11, p< 0.05). Estimated health utility values, which were derived from quality of life by using a mapping function, were significantly correlated with directly measured health utility values (p<0.001).Conclusions: We obtained the health utility and health-related quality of life (HRQoL) scores of Chinese breast cancer patients in different disease states. Mapping health utility values from quality of life using four disease states could be feasible in health economic modelling, but the mapping function may need further revision.

scholarly journals Health variations among breast-cancer patients from different disease states: Evidence from China

2020 ◽  
Author(s):  
Qing Yang ◽  
Xuexin Yu ◽  
Wei Zhang
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Cancer Recurrence ◽  
Mapping Function ◽  
Health Utility ◽  
Breast Cancer Patients ◽  
Health Utilities ◽  
Disease States

Abstract Background To obtain health utility data for different disease status of breast cancer in China in order to obtain important parameters in health economics modeling. To explore the feasibility of establishing a breast cancer health utility mapping model in China. Methods Multivariate regression models, including linear regression model, ordinal logistic regression model and Tobit model, were employed to analyz. Subgroup analyses were performed to analyze variations in sub-dimensional health attributes derived from FACT-B and EQ-5D-5L. A mapping function was used to estimate health utility from quality of life. Results 446 breast cancer patients with different disease states were analyzed. The utility of breast cancer patients with P state(without cancer recurrence and metastasis), R state(with cancer recurrence within a year), S state(with primary and recurrent breast cancer for the second year and above) and M state(metastasis cancer) were 0.81 (SD ±0.23), 0.90 (SD ±0.12), 0.78 (SD ±0.31), and 0.74 (SD ±0.27), respectively. All scores, including the FACT-B domain, showed a positive correlation( p <0.001). Multivariate analysis suggested that patients in R and M state had lower scores in overall quality of life (R,β = -9.45, p < 0.01; M, β = -6.72, P <0.05). Patients in M state had a lower probability of achieving higher health utility compared with patients in P state (β = -0.11, p < 0.05). Estimated health utilities derived from quality of life, using mapping function, were significantly correlated with directly measured health utilities ( p <0.001). Conclusions We obtained the health utility and HRQoL scores of Chinese breast cancer patients with different disease states. Mapping health utilities from quality of life in four disease states could be a plausible approach in health economic analysis, while the mapping function may need further revise.

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