Identifying and predicting distinct distress trajectories following a breast cancer diagnosis - from treatment into early survival

Fluctuations in core depressive symptoms in colorectal cancer patients. A prospective, population-based PROFILES-registry study

PURPOSE

Research investigating depressive symptoms among cancer patients rarely distinguish between core symptoms of depression (motivational and consummatory anhedonia, and negative affect). This distinction is important as these symptoms may show different trajectories during the course of the illness and require different treatment approaches. The aim of the present study is to investigate fluctuations in core depressive symptoms in patients with colorectal cancer (CRC). It is hypothesized that these core depressive symptoms fluctuate differently during the course of the illness and depend on the phase of the illness (diagnostic, treatment, recovery and palliative phase).

METHOD

This study is based on data from the PROCORE study. PROCORE is a prospective, population-based study aimed to examine the longitudinal impact of CRC and its treatment on patient-reported outcomes. Eligible patients completed self-report questionnaires (i.e. Multifactorial Fatigue Index, Hospital Anxiety and Depression scale, EORTC-C30) after diagnosis, after surgery and at one and two years after diagnosis.

RESULTS

In total, 539 patients participated of whom 68 have died until March 1ste 2021. Core depressive symptoms fluctuated differently during the course of the illness with higher levels of motivational anhedonia during treatment and palliative phase (P<.001), consummatory anhedonia at the palliative phase (p < .001) and negative affect at the diagnostic and palliative phase (P<.001).

CONCLUSION

It is important to distinguish between different core depressive symptoms as they fluctuate differently during the course of an illness like CRC. The various depressive symptoms may require a different treatment approach at specific moments during the illness process.

The trajectories of psychosocial adjustment among young to middle-aged women with breast cancer: A prospective longitudinal study

PURPOSE

This study aims to explore heterogeneous trajectories of psychosocial adjustment among young to middle-aged women with breast cancer and determine the predictive factors influencing these trajectories.

METHODS

This study was conducted from October 2019 to October 2022 across two hospitals in Guangzhou. Demographic and disease characteristics, psychosocial adjustment, self-efficacy, social support, and coping modes were collected at baseline. Follow-up evaluations of psychosocial adjustment occurred at 1, 3, and 6 months post-surgery. Latent class growth modeling identified distinct patterns of psychosocial adjustment trajectories. Logistic regression analysis determined the predictive factors.

RESULTS

A total of 377 young to middle-aged women with breast cancer participated in this study, with 289 participants completing the 6-month follow-up. Three distinct trajectories of psychosocial adjustment were identified including a "sustained severe maladjustment" trajectory, comprising 22.5% of participants, a "sustained moderate maladjustment" trajectory, comprising 50.4% of participants, and a "well-adjusted class" trajectory, comprising 27.1% of participants. Predictors of psychosocial adjustment trajectories included affected side, surgical type, chemotherapy, self-efficacy, social support, and coping modes.

CONCLUSIONS

This study revealed three distinct trajectories of psychosocial adjustment among young to middle-aged women with breast cancer. Those with right-sided breast cancer, undergoing total mastectomy, receiving chemotherapy, low self-efficacy, limited social support, and relying on confrontation or avoidance coping modes may experience sustained maladjustment.

Factors influencing psychological distress among breast cancer survivors using machine learning techniques

Breast cancer is the most commonly diagnosed cancer among women worldwide. Breast cancer patients experience significant distress relating to their diagnosis and treatment. Managing this distress is critical for improving the lifespan and quality of life of breast cancer survivors. This study aimed to assess the level of distress in breast cancer survivors and analyze the variables that significantly affect distress using machine learning techniques. A survey was conducted with 641 adult breast cancer patients using the National Comprehensive Cancer Network Distress Thermometer tool. Participants identified various factors that caused distress. Five machine learning models were used to predict the classification of patients into mild and severe distress groups. The survey results indicated that 57.7% of the participants experienced severe distress. The top-three best-performing models indicated that depression, dealing with a partner, housing, work/school, and fatigue are the primary indicators. Among the emotional problems, depression, fear, worry, loss of interest in regular activities, and nervousness were determined as significant predictive factors. Therefore, machine learning models can be effectively applied to determine various factors influencing distress in breast cancer patients who have completed primary treatment, thereby identifying breast cancer patients who are vulnerable to distress in clinical settings.

Incorporating the Distress Thermometer into preoperative vital signs in patients undergoing ambulatory oncology surgery: a pilot feasibility study

BACKGROUND

Despite the extensive literature supporting distress screening at relevant transitions of care, the implementation of distress screening remains limited in ambulatory surgery settings. Our multidisciplinary team completed a pilot study to assess the feasibility and acceptability of including a standardized psychosocial assessment, the Distress Thermometer (DT), with the collection of admission vital signs by Patient Care Technicians (PCTs) in patients undergoing oncology surgery.

METHODS

We assessed feasibility by the response rate and acceptability through discussions with the PCTs.

RESULTS

Of the 189 men who underwent radical prostatectomy at our center, 71 were approached with the DT scale, and all patients who were approached completed the DT with no missing data. The staff reported no issues with data collection. A total of 21/71 (30%; 95% CI 19%, 42%) reported a clinically relevant distress DT ≥ 4.

CONCLUSION

Our results demonstrated that incorporating the DT into vital sign collection was feasible, acceptable, and provided a valuable assessment.

Well-being trajectories in breast cancer and their predictors: A machine-learning approach

OBJECTIVE

This study aimed to describe distinct trajectories of anxiety/depression symptoms and overall health status/quality of life over a period of 18 months following a breast cancer diagnosis, and identify the medical, socio-demographic, lifestyle, and psychological factors that predict these trajectories.

METHODS

474 females (mean age = 55.79 years) were enrolled in the first weeks after surgery or biopsy. Data from seven assessment points over 18 months, at 3-month intervals, were used. The two outcomes were assessed at all points. Potential predictors were assessed at baseline and the first follow-up. Machine-Learning techniques were used to detect latent patterns of change and identify the most important predictors.

RESULTS

Five trajectories were identified for each outcome: stably high, high with fluctuations, recovery, deteriorating/delayed response, and stably poor well-being (chronic distress). Psychological factors (i.e., negative affect, coping, sense of control, social support), age, and a few medical variables (e.g., symptoms, immune-related inflammation) predicted patients' participation in the delayed response and the chronic distress trajectories versus all other trajectories.

CONCLUSIONS

There is a strong possibility that resilience does not always reflect a stable response pattern, as there might be some interim fluctuations. The use of machine-learning techniques provides a unique opportunity for the identification of illness trajectories and a shortlist of major bio/behavioral predictors. This will facilitate the development of early interventions to prevent a significant deterioration in patient well-being.

A detailed description of the distress trajectory from pre- to post-treatment in breast cancer patients receiving neoadjuvant chemotherapy

PURPOSE

To characterize the distress trajectory in patients with newly diagnosed, non-metastatic breast cancer from pre-neoadjuvant chemotherapy until 12 months after onset of treatment and to identify demographic and clinical predictors of distress in these patients.

METHODS

In a retrospective, longitudinal study, chart review data were abstracted for 252 eligible patients treated at a comprehensive cancer care center. The center screens for distress at least monthly with the distress thermometer; the highest distress score per month was included in the analyses. The growth trajectory was established using mixed modeling and predictors were added to the initial growth model in subsequent models.

RESULTS

Distress showed a cubic growth trajectory with highest distress prior to treatment onset followed by a steep decline in the first three months of treatment. A slight increase in distress was apparent over months 6-10. Being Hispanic was associated with a stronger increase in distress in the second half of the year (p = 0.012). NACT was associated with lower distress and surgery with higher distress (both: p < 0.001).

CONCLUSION

Distress is at its peak prior to treatment onset and rapidly decreases once treatment has started. Oncologist should be aware that both completion of NACT and undergoing surgery are associated with increases in distress and Hispanic patients may be more at risk for an increase in distress at these times; this suggests that careful monitoring of distress during the treatment trajectory and in Hispanic patients in particular in order to provide timely support.

Trajectories and predictors of social avoidance in female patients with breast cancer

Background

Social avoidance plays an important role in influencing quality of life among patients with breast cancer. Social avoidance behaviors change with treatment periods. However, the trajectory patterns and the predictive factors have not been fully studied.

Objective

This study examined the growth trajectory of social avoidance and its predictors in patients with breast cancer.

Materials and methods

A total of 176 patients with breast cancer in a university hospital in Shaanxi Province, China, were followed up four times over 6 months following surgery, and data from the final 144 patients were analyzed. The growth mixed model (GMM) was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression.

Results

The best-fit growth mixture modeling revealed three class models: persistent high social avoidance group (Class 1), social avoidance increased first and then decreased group (Class 2), and no social avoidance group (Class 3), accounting for 13.89, 31.94, and 54.17% of patients, respectively. Single-factor analysis showed that family income per capita, residence, and temperament type were related to the social avoidance trajectory. Logistic regression analysis showed that only temperament type was an independent predictor of the social avoidance trajectory, and patients with melancholia were more likely to have persistent high social avoidance.

Conclusion

Our study proved the heterogeneity of social avoidance behaviors and the influencing effect of temperament type on the development of social avoidance behaviors in Chinese patients with breast cancer. Health professionals should pay more attention to patients who are at higher risk of developing a persistent social avoidance pattern and provide target interventions.

Assessment of anxiety, depression, and distress in breast cancer patients: A comparison among different phases of illness

We aimed to assess the levels of anxious and depressive symptoms and distress in a sample of breast cancer patients in the different phases of the illness. We performed a cross-sectional study. We divided 301 female breast cancer patients into three groups, based on the phase of illness they were in being in post-surgery (N = 100), receiving adjuvant therapies (N = 86), and receiving follow-up care (N = 115). We included the follow-up within the phases of illness. We further divided each group into first diagnosed or with recurrence and we administered Hospital Anxiety and Depression Scale and Distress Thermometer. First-diagnosed patients with clinically relevant anxiety increased from being post-surgery (35.8%), to receiving adjuvant therapies (53.7%), and to being in follow-up (61.5%). In patients with recurrence, distress was stable among the illness phases, but many patients had clinically relevant anxiety (55.65%) and depression (43.48%). First-diagnosed patients' emotional distress could be more linked to follow-up-related difficulties. During recurrence, high distress could be due to the failure of previous treatments. Distress screening can better orient psycho-social interventions and healthcare resources.

The Interplay Between Trait Resilience and Coping Self-efficacy in Patients with Breast Cancer: An International Study

The role of self-efficacy to cope with breast cancer as a mediator and/or moderator in the relationship of trait resilience to quality of life and psychological symptoms was examined in this study. Data from the BOUNCE Project ( https://www.bounce-project.eu/ ) were used. Women diagnosed with and in treatment for breast cancer (N = 484), from four countries, participated in the study. Trait resilience and coping self-efficacy were assessed at baseline (soon after the beginning of systemic treatment), and outcomes (quality of life, psychological symptoms) 3 months later. Hierarchical regression, mediation, moderation, and conditional (moderated) mediation and moderation analyses were performed to examine the study hypotheses. Coping self-efficacy mediated the impact of trait resilience. In addition, higher levels of resilience in combination with higher levels of coping self-efficacy were associated with better outcomes. Country of origin had no impact on these results. Overall, it seems that coping self-efficacy is a key factor that should be taken into account for research and intervention efforts in cancer.

Psychoeducation for breast cancer: A systematic review and meta-analysis

BACKGROUND

Psychoeducation has emerged as an intervention for women with breast cancer (BC). This meta-analysis evaluated the effectiveness of psychoeducation on adherence to diagnostic procedures and medical treatment, anxiety, depression, quality of life (QoL), and BC knowledge among patients with BC symptoms or diagnosis and BC survivors.

METHODS

A systematic literature search (in PubMed, Embase, PsycINFO and Cochrane) for randomised controlled trials (RCTs) comparing the effects of psychoeducation to control among patients with BC symptoms or diagnosis and BC survivors. Effects were expressed as relative risks (RRs) and standardized mean differences (SMDs) with their 95% confidence intervals.

RESULTS

Twenty-seven RCTs (7742 participants; 3880 psychoeducation and 3862 controls) were included. Compared with controls, psychoeducation had no significant effect on adherence to diagnostic procedures and medical treatment (RR 1.553; 95% CI 0.733 to 3.290, p = .16), but it significantly decreased anxiety (SMD -0.710, 95% CI -1.395 to -0.027, p = .04) and improved QoL with (SMD 0.509; 95% CI 0.096 to 0.923, p < .01). No effects were found for psychoeducation on depression (SMD -0.243, 95% CI -0.580 to 0.091, p = .14), or BC knowledge (SMD 0.718, 95% CI -0.800 to 2.236, p = .23).

CONCLUSION

We demonstrated that psychoeducation did not improve adherence to diagnostic procedures and treatment, depression and BC knowledge but was valuable for reducing anxiety and improving QoL. Future studies may explore the effectiveness of psychoeducation in promoting adherence across various types of cancer.

Cross-Cultural Adaptation and Psychometric Evaluation of the Perceived Ability to Cope With Trauma Scale in Portuguese Patients With Breast Cancer

BACKGROUND

The impact of a cancer diagnosis may be traumatic, depending on the psychological resources used by patients. Appropriate coping strategies are related to better adaptation to the disease, with coping flexibility, corresponding to the ability to replace ineffective coping strategies, demonstrated to be highly related with self-efficacy to handle trauma. The Perceived Ability to Cope with Trauma (PACT) scale is a self-rated questionnaire that assesses the perceived ability to cope with potentially traumatic events, providing a measure of coping flexibility. The current study aimed at examining the psychometric properties of the PACT Scale in Portuguese patients with breast cancer.

METHODS

The study included 172 patients recently diagnosed with early breast cancer. Participants completed a Portuguese version of the PACT scale, and instruments of self-efficacy for coping with cancer (Cancer Behavior Inventory-Brief Version-CBI-B), of quality of life (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core-30-QLQ-C30), and of psychological distress (Hospital Anxiety and Depression Scale-HADS) that were used as convergent and divergent measures, thus assessing construct validity. A confirmatory factor analysis (CFA) was performed to test the factor structure of the Portuguese version of PACT scale and reliabilities were examined.

RESULTS

Results from the CFA confirmed the two-factor structure, consistent with the original Forward and Trauma focus subscales. The two subscales demonstrated high internal consistencies. Convergent and divergent validities were confirmed: the PACT scale was related to high self-efficacy to cope with cancer (CBI-B), to high perceived quality of life (QLQ-C30), and to low psychological distress (HADS).

DISCUSSION

Overall, the current results support and replicate the psychometric properties of the PACT scale. The scale was found to be a valid and reliable self-reported measure to assess Portuguese breast cancer patients regarding beliefs about their capabilities in managing the potentially traumatic sequelae of cancer. The PACT is a simple and brief measure of coping flexibility to trauma, with potential relevance for application in clinical and research settings.

Trajectories of adjustment disorder symptoms in post-treatment breast cancer survivors

Objective

Breast cancer survivors (BCS) may experience problems to adjust to their situation after cancer treatment completion. In case of severe distress, an adjustment disorder (AD) might develop. This study investigates the course of AD symptoms during 1 year and its predictors in BCS up to 5 years post-treatment.

Methods

BCS completed the Hospital Anxiety and Depression Scale (HADS) at baseline, 3, 6, and 12 months. HADS total scores were defined as no mental disorder (MD) symptoms (≤ 10), AD symptoms (11–14), and any other MD symptoms (≥ 15). Over the course of four assessments, symptom trajectories were a priori defined as no MD symptoms, AD symptoms, fluctuating AD symptoms below and above cut-offs, or any other MD symptoms. Complementary, latent class growth analysis (LCGA) was used to identify data-driven trajectories.

Results

Among 293 BCS with complete data, the majority was classified as no MD symptoms (54.4%), followed by 37.5% in the fluctuating AD symptoms trajectory. Only 1.4% had AD symptoms, and 6.8% had any other MD symptoms. With LCGA (N = 459), three trajectories were found: stable no MD symptoms (58.6%), stable AD symptoms (32.9%), and high increasing any other MD symptoms (8.5%). Compared to BCS with no MD symptoms, BCS with fluctuating AD symptoms or any other MD symptoms were younger, less able to handle daily activities, and showed more social support discrepancy, neuroticism, and less optimism.

Conclusions

Results of our study showed that AD symptoms in BCS up to 5 years post-treatment fluctuate over 1 year. It is thus important to appropriately assess AD over the course of 5 years post-treatment as AD symptoms can fluctuate.

Centrality of Self-Criticism in Depression and Anxiety Experienced by Breast Cancer Patients Undergoing Short-Term Psychodynamic Psychotherapy

INTRODUCTION

Depression and anxiety are prevalent in women suffering from breast cancer. However, the determinants of depression and anxiety in this population are not well known, particularly in the context of psychotherapy. Drawing from Blatt's theory, we examined the role of Depressive Personality Vulnerability (DPV) in depression and anxiety experienced in female sufferers of breast cancer treated for depression as part of a Randomized Clinical Trial.

METHODS

Seventy-eight patients were treated by Short-Term Psychodynamic Psychotherapy and 79 patients by Treatment as Usual. Assessments were conducted pre-treatment, at termination, and at six-month follow-up. Main outcomes were the depression and anxiety subscales of the Hospital Depression and Anxiety Scale. Predictors were pre-treatment dependency, self-criticism, and self-efficacy, assessed via the Depressive Experiences Questionnaire. Analyses targeted associations of these dimensions with baseline levels, main effects on pretreatment-termination and pretreatment-follow-up changes in depression and anxiety, and DPV by treatment interactions.

RESULTS

Consistent with our hypotheses, self-criticism - implicated in previous research as a serious dimension of vulnerability to psychopathology - predicted elevated levels, as well as pretreatment-follow-up changes, in both depression and anxiety. However, self-criticism also augmented the effect of STPP (compared with TAU) on depression in the pretreatment-termination period.

CONCLUSIONS

These findings highlight the centrality of self-criticism for both risk and resilience processes in breast cancer.

Symptom trajectories in patients with breast cancer: An integrative review

Objective

This study aimed to synthesize the available knowledge of symptom trajectories in patients with breast cancer and identify predictors associated with these trajectories.

Methods

Whittemore and Knafl’s integrative review method was employed to guide a systematic search for literature in four databases (PubMed, Embase, Web of Science, and CINAHL). The retrieved articles’ publication time was limited to 2010 to 2020, and only peer-reviewed English articles were included.

Results

Twenty-seven articles were included. The findings of the relevant studies were analyzed using thematic analysis. They were grouped into two themes: symptom trajectories of patients with breast cancer (symptom trajectories in patients with breast cancer, in patients who underwent surgery, and in patients who received cancer-related treatment) and associated factors (socioeconomic factors, health characteristics, cancer-related treatment characteristics). Newly diagnosed patients tended to report high trajectories of depression and persistent sleep disturbance. Most patients who underwent surgery reported significant sleep disturbance and anxiety shortly after surgery. For patients who received cancer-related treatment, only a small proportion had a high level of physical activity after cancer-related therapy over time. A high body mass index, a low relationship quality, parental responsibilities, insufficient social support, a low educational background, and an unhealthy lifestyle may increase the risk of negative symptom trajectories in patients with breast cancer. Additionally, old patients were more likely to report cognitive impairment after chemotherapy, while young patients tended to report trajectories of persistent sexual dysfunction. Concurring symptoms and poor health status also contributed to adverse symptom trajectories.

Conclusion

The findings of this review add to the body of knowledge of the interindividual variability of symptom trajectories in patients with breast cancer. Despite the overall similarity in appraisal at baseline, the patients reported varied symptom trajectories over time. It is recommended that nurses consider sociodemographic, clinical and cancer-related treatment characteristics and perform targeted early preventive interventions for patients with breast cancer.

Symptom trajectories in breast cancer survivors: growth mixture analysis of patient-reported pain, fatigue, insomnia, breast and arm symptoms

BACKGROUND

Variations in symptom development among breast cancer (BC) survivors are understudied. We examined: (Q1) Symptom trajectories of pain, fatigue, insomnia, breast, and arm symptoms in BC survivors, (Q2) possible patterns or cluster-like associations between trajectory classification of different symptoms, and (Q3) characteristics of survivors assigned to high-burden symptom trajectories.

MATERIAL AND METHODS

Participants were 968 women (mean age = 59.6 years) treated for early-stage BC and followed across a three-year postoperative period. As part of routine follow-up procedures, patients reported symptom burden and functioning levels at each hospital visit using the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ-C30) and the BC-specific module (QLQ-BR-23). Growth mixture modeling (GMM) analysis was used to differentiate potential subgroups of individuals with similar longitudinal symptom patterns, i.e., symptom trajectories (Q1). With this approach, groups experiencing persistent, highly distressing cancer- and treatment-related late effects (LEs) may be identified. Latent class analysis (LCA) was used for Q2 and logistic regression analysis for Q3.

RESULTS

GMM identified two relatively parallel trajectories across the tested symptoms: The majority of the sample exhibited a low-burden symptom trajectory (74.4-89.2%) and a minority by a high-burden symptom trajectory (10.8-25.6%). LCA revealed that approximately one in five women (18.8%) were likely to be members of the high-burden symptom trajectory across all tested symptoms. In addition to a high probability of being burdened over time across multiple symptoms, these women were also characterized by poorer self-reported physical and social functioning.

CONCLUSION

A substantial minority followed a high-burden symptom trajectory for several years following BC treatment. Associations were found in trajectory classification across symptoms, indicating that cancer-related LEs appear in clusters of multiple concurrent symptoms.

The mental health impacts of receiving a breast cancer diagnosis: A meta-analysis

BACKGROUND

Receiving a breast cancer diagnosis can be a turning point with negative impacts on mental health, treatment and prognosis. This meta-analysis sought to determine the nature and prevalence of clinically significant psychological distress-related symptoms in the wake of a breast cancer diagnosis.

METHODS

Ten databases were searched between March and August 2020. Thirty-nine quantitative studies were meta-analysed.

RESULTS

The prevalence of clinically significant symptoms was 39% for non-specific distress (n = 13), 34% for anxiety (n = 19), 31% for post-traumatic stress (n = 7) and 20% for depression (n = 25). No studies reporting breast cancer patients' well-being in our specific time frame were found.

CONCLUSION

Mental health can be impacted in at least four domains following a diagnosis of breast cancer and such effects are commonplace. This study outlines a clear need for mitigating the impacts on mental health brought about by breast cancer diagnosis. CRD42020203990.

Cognitive, emotional, and behavioral mediators of the impact of coping self-efficacy on adaptation to breast cancer: An international prospective study

OBJECTIVE

The main objective of this prospective multicenter study was to examine whether illness representations of control, affect, and coping behaviors mediate the effects of self-efficacy to cope with cancer on psychological symptoms and overall quality of life, in breast cancer patients.

METHOD

Data from 413 women (Mean age = 54.87; SD = 8.01), coming from four countries (i.e., Finland, Israel, Italy, Portugal), who received medical therapy for their early breast cancer, were analyzed. Coping self-efficacy was assessed at baseline. Potential mediators were assessed three months later, and outcomes after six months.

RESULTS

Coping self-efficacy was related to all mediators and outcomes. Illness representations of treatment control, positive and negative affect, and certain coping behaviors (mostly, anxiety preoccupation) mediated the effects of coping self-efficacy. Coping self-efficacy was related to each outcome through a different combination of mediators.

CONCLUSIONS

Coping self-efficacy is a major self-regulation factor which is linked to well-being through multiple cognitive, emotional, and behavioral pathways. Enhancement of coping self-efficacy should be a central intervention goal for patients with breast cancer, towards promotion of their well-being.

Distress Thermometer in breast cancer: systematic review and meta-analysis

Objective

This meta-analysis aimed to reach a summarised estimate of distress prevalence screened by Distress Thermometer (DT) among patients with breast cancer and compare different pooled prevalence estimated between different subgroups.

Methods

Two independent interviewers conducted a systematic search from PubMed, EMBASE, Ovid and Cochrane Library and checked related reviews and meta-analyses for eligible studies. The studies that identified distress of patients with breast cancer with DT were included. After extracting demographic characteristics and distress prevalence, the pooled analysis and the forest plot were completed by using STATA V.12.0 software. We conducted a subgroup analysis based on demographic and methodological characteristics of the studies. The publication bias was estimated by funnel plot.

Results

Seventeen studies describing 3870 patients with breast cancer were included in this meta-analysis. The distress prevalence of patients with breast cancer varied from 25.3% to 71.7% among these studies. The pooled distress prevalence was 50% (95% CI 49% to 52%) for the overall sample. The pooled distress prevalence rates in DT ≥7, DT ≥5 and DT ≥4 subgroups were 37% (95% CI 35% to 40%), 45% (95% CI 40% to 49%) and 62% (95% CI 60% to 65%), respectively. The distress prevalence had statistically significant differences between subgroups, which were differentiated by the initial time of distress identified, papers’ publication time, patients’ average age and country. There was no publication bias among the included studies.

Conclusion

The distress prevalence was high among patients with breast cancer. Routine and timely screening of distress for patients with breast cancer is of great significance in oncology management.

Quality of life and psychological functioning in postmenopausal women undergoing aromatase inhibitor treatment for early breast cancer

INTRODUCTION

Aromatase inhibitors (AIs) dramatically increased breast cancer (BC) survival, leading to enhanced attention to their long-term consequences on psychological functioning. Conflicting data has been examined regarding the association between AIs administration and the clinical psychological features in BC survivors (BCSs).

PURPOSE

As psychological symptoms often occur in such chronic diseases, our study aimed at exploring anxious and depressive symptoms and the perceived quality of life (QoL) in BCSs assessed for osteoporosis.

METHODS

The total sample consisted of a clinical sample of 51 outpatient postmenopausal women, diagnosed with BC, and a control group composed of 51 healthy postmenopausal women. All recruited participants were evaluated through the clinical gold standard interview and completed the following self-rating scales: the Hamilton Anxiety Rating Scale, Beck Depression Inventory II edition, and 36-Item Short Form Health Survey, which were administered at baseline and after 6 months in BCSs in AIs treatment, compared with controls. Moreover, all participants were assessed for vitamin D status, bone mineral density (BMD) and subclinical vertebral fractures. Data regarding age, age at menopause, body mass index (BMI), smoking habits and alcohol consumption was collected.

RESULTS

BCSs (n = 51) showed higher anxious and depressive symptoms, and lower perceived QoL vs. controls (n = 51) (p<0.05 for all). After 6 months of treatment with AIs, BCSs showed significant reduction of anxious and depressive symptoms and a significantly higher perceived QoL for both physical and mental components, vs. controls.

CONCLUSIONS

The improvement of clinical psychological features and perceived QoL was associated with AIs treatment in women being treated with, for early breast cancer. Further studies are needed to obtain a deeper comprehension of the correlation between clinical psychological and physical features in BCSs.