Psychological Resilience and Health-Related Quality of Life in 418 Swedish Women with Primary Breast Cancer: Results from a Prospective Longitudinal Study

The Impact of Newly Diagnosed Early Breast Cancer on Psychological Resilience, Distress Levels, and the Perception of Health

Confronting a breast cancer diagnosis, along with complex and challenging treatment procedures, is an extremely stressful experience. Psychological resilience is the ability to maintain or restore normal functioning while facing adversity. We aimed to explore the impact of an early breast cancer diagnosis on psychological resilience, distress, and perception of health. A cross-sectional study was conducted, including 50 patients newly diagnosed with early breast cancer and 67 healthy women with screening mammograms graded 1 or 2 using a Breast Imaging Reporting and Data System. The levels of distress, perception of health, and psychological resilience were assessed using the depression, anxiety, and stress scale, the SF 36-Item Health Survey 1.0, and the Connor-Davidson RISC-25 scale. Differences between variables were examined using the t-test and chi-square test for interval and categorial variables. The surveys were conducted within four weeks of a breast cancer diagnosis. Patients with breast cancer reported a deterioration of their health relative to the previous year and significantly higher levels of psychological resilience, while there was no significant difference between the groups in levels of stress, anxiety, or depression. The process of diagnosis with early breast cancer may activate psychological dynamic processes which are involved in the effective adaptation to acute stress, leading to higher resilience levels in breast cancer patients compared to healthy controls.

A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer

PURPOSE

Sleep problems are a significant issue in patients with lung cancer, and resilience is a closely related factor. However, few studies have identified subgroups of resilience and their relationship with sleep quality. This study aimed to investigate whether there are different profiles of resilience in patients with lung cancer, to determine the sociodemographic characteristics of each subgroup, and to determine the relationship between resilience and sleep quality in different subgroups.

METHODS

A total of 303 patients with lung cancer from four tertiary hospitals in China completed the General Sociodemographic sheet, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis was applied to explore the latent profiles of resilience. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile, and ANOVA was used to explore the relationships between resilience profiles and sleep quality.

RESULTS

The following three latent profiles were identified: the "high-resilience group" (30.2%), the "moderate-resilience group" (46.0%), and the "low-resilience group" (23.8%). Gender, place of residence, and average monthly household income significantly influenced the distribution of resilience in patients with lung cancer.

CONCLUSION

The resilience patterns of patients with lung cancer varied. It is suggested that health care providers screen out various types of patients with multiple levels of resilience and pay more attention to female, rural, and poor patients. Additionally, individual differences in resilience may provide an actionable means for addressing sleep problems.

Enablers, barriers and strategies to build resilience among cancer survivors: a qualitative study protocol

Cancer is a life-threatening illness affecting all dimensions of a person's health. Cancer survivors must build resilience to face this adversity and continue their life projects. The present study explores the enablers, barriers, and strategies to build resilience among cancer survivors. This qualitative, descriptive exploratory study will use purposive sampling to recruit cancer survivors and healthcare professionals from two hospital centers in Lisbon and Tagus Valley. Interviews will be conducted until data saturation occurs. Data analysis will be performed using an inductive content analysis process with the help of the QDA Miner Lite database. The findings from this study will generate knowledge that may help stakeholders to identify effective strategies to build resilience among cancer survivors. By implementing strategies to foster resilience, healthcare professionals can potentially promote positive adaptations to cancer by strengthening resilience enablers and reducing the impact of barriers.

Cognitive function is well preserved in a cohort of breast cancer survivors: Roles of cognitive reserve, resilience, and general health

Many patients return to cognitively demanding work after breast cancer treatments. This makes treatment-related cognitive decline an important research topic. Psychological resilience, cognitive reserve and better perceived general health may work as protective factors against cognitive decline. The aim of this study was to analyse whether these factors are associated with cognitive function among such women.

Data from 384 breast cancer survivors who underwent neuropsychological examination at follow-up 4–9 years after surgery were used. The neurocognitive domain variable Learning and Memory was computed from Wechsler Memory Scale-III subtests Learning and Delayed Recall. Another variable, Attention, Processing speed and Executive function, was computed from semantic and verbal fluency tests, Trail Making Test A and B, and Wechsler Adult Intelligence Test-IV subtest Coding. Psychological resilience was measured with Resilience Scale-14, and perceived general health with RAND-36 subitem General Health.

Results

showed that levels of cognitive performance and general health were statistically higher than population average. Resilience and general health in separate models were associated with Attention, Processing speed and Executive function (β = 0.14, p = 0.01; β = 0.13, p = 0.03, respectively). When added simultaneously in the same model, resilience was significant (β = 0.13, p = 0.04), but general health was not. These associations were nonsignificant after controlling for confounding factors. Learning and Memory was not associated with resilience or general health.

Future research should focus on longitudinal studies identifying patients at a high risk of developing cognitive decline after breast cancer treatments and on preventive and therapeutic approaches.

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401 women were neuropsychologically examined 4–9 years after breast cancer surgery.

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Their cognitive performance was on average well preserved.

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Psychological Resilience associated with better cognitive performance in one domain.

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The association between General Health and cognition was less prominent.

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High education level might protect against cognitive decline after breast cancer.

One-year recovery from breast cancer: Importance of tumor and treatment-related factors, resilience, and sociodemographic factors for health-related quality of life

Aim

This study investigated the changes in health-related quality of life from diagnosis to 1 year after diagnosis in breast cancer (BC) patients and the influence of clinical, psychological, and sociodemographic variables. An additional aim was to explore the mediating and moderating effects of resilience on changes in health-related quality of life.

Methods

A longitudinal population-based study was conducted in southern Sweden. Newly diagnosed BC patients filled in measures of health-related quality of life, resilience, and sociodemographic variables at diagnosis (N = 980) and 1 year post-diagnosis (N = 780). Clinical variables were extracted from the Swedish national breast cancer quality registry. Mixed-model analyses were performed.

Results

Most health-related quality of life outcomes declined from diagnosis to 1 year post-diagnosis. Role limitations due to emotional problems remained the same, whereas mental health improved. Lower health-related quality of life outcomes were associated with symptomatic detection and axillary dissection. Patients with a higher TNM stage and histologic grade and estrogen receptor (ER)-negative and human epidermal growth factor 2 (HER2)-positive status, who received chemotherapy, antibody therapy, or bisphosphonate therapy, had a steeper decline in outcomes. Changes in resilience were positively associated with all outcomes but did not mediate or moderate changes in any. Resilience at baseline moderated changes in bodily pain, vitality, and mental health, with higher baseline resilience being associated with a steeper decline, possibly due to floor or ceiling effects. Patients with lower socioeconomic status, educational level, and older age had a lower health-related quality of life.

Conclusion

Physical health-related quality of life among breast cancer patients declined 1 year post-diagnosis, whereas mental health-related quality of life improved. Low resilient patients may be especially vulnerable at diagnosis. Biopsychosocial assessment at diagnosis can help identify patients who may require additional support. A multidimensional treatment plan should be started early to help overcome the problems in everyday activities.

Resilience index improves prediction of 1-year decreased quality of life in breast cancer

BACKGROUND

Resilience is important in cancer survivorship and has great potential to predict long-term quality of life (QoL) in breast cancer. The study was designed to develop a new prediction model to estimate pretest probability (PTP) of 1-year decreased QoL combing Resilience Index (RI) and conventional risk factors.

METHODS

RI was extracted from 10-item Resilience Scale Specific to Cancer (RS-SC-10) based on the Principal Component Analysis (PCA). Patients were enrolled from Be Resilient to Breast Cancer (BRBC) and the prediction model was developed based on a sample of 506 consecutive patients and validated in an internal cohort (N1 = 314) and two external cohorts (N2 = 223 and N3 = 189). Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental value of RI.

RESULTS

RI improved prediction above conventional risk factors. AUC increased from 0.745 to 0.862 while IDI and NRI were 8.39% and 18.44% respectively (P < 0.0001 for all). Five predictors were included in the final model: RI, age, N stage, M stage, and baseline QoL. The new model demonstrated good calibration ability in the internal and external cohorts resulting in C-indexes of 0.862 (95%CI, 0.815-0.909), 0.828 (95%CI, 0.745-0.910), 0.880 (95%CI, 0.816-0.944), and 0.869 (95%CI, 0.796-0.941).

CONCLUSION

RI contributed to a more accurate estimation for PTP of 1-year decreased QoL above conventional risk factors and could help optimize decision making of treatment for breast cancer.

IMPLICATIONS FOR CANCER SURVIVORS

A promising prognostic indicator of RI could improve QoL-related management in Chinese patients with breast cancer.

Analysis of the resilience level and associated factors among patients with lumbar disc herniation

This study aims to determine the resilience level and its influence on anxiety among Chinese lumbar disc herniation (LDH) patients, and to determine the critical psychological and non-psychological predictors of resilience among LDH patients. Twenty hundred and fifty LDH patients from a tertiary hospital in Jinzhou, China were included in this survey to answer the Resilience Scale-14 (RS-14), Zung Self-Rating Anxiety Scale (SAS), Herth Hope Index (HHI), Revised Life Orientation Test (LOT-R), Multidimensional Scale of Perceived Social Support (MSPSS), Perceived Stress Scale-10 (PSS-10). The mean resilience level of LDH patients was 61.96 ± 12.37. Resilience was negatively correlated with anxiety (χ² = 32.603, p < 0.001), accompanied by a significant linear trend (χ² = 28.567, p < 0.001). Hope, stress, social support, and medical payment type accounted for 48.7% resilience variance. This study reveals that Chinese LDH patients had low resilience level, and that lower level of resilience was closely associated with higher anxiety level. The predictors for resilience among LDH patients include hope, stress, social support, as well as medical payment types. These findings provide local government and related health-care professionals with a basis for development of targeted mental health management of Chinese LDH patients, and will also help to devise appropriate health intervention strategies for promoting the mental health status of LDH patients.