Trajectories of health-related quality of life in breast cancer patients

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.

Perceived control, self-management efficacy, and quality of life in patients treated with radiation therapy for breast cancer: a longitudinal study

OBJECTIVE

This longitudinal study aims to examine the present state of perceived control, self-management efficacy, and overall quality of life (QoL) in patients with breast cancer undergoing radiotherapy, and gain insight into the dynamic trends and factors that influence the quality of life experienced by patients during the course of radiotherapy.

METHODS

Participants completed the Cancer Experience and Efficacy Scale (CEES), Strategies Used by People to Promote Health (SUPPH), and Functional Assessment of Cancer Therapy- Breast (FACT-B). The data was analyzed using the software SPSS26.0. Repeated measures analysis of variance (ANOVA) and mixed-effects linear models were used to analyze trends in perceived control, self-management efficacy, and QoL at three-time points, as well as factors affecting QoL during radiotherapy.

RESULTS

Perceived control and self-management efficacy were associated with QoL over the course of the radiotherapy. Self-management efficacy (β = 0.30, P < 0.001), presence of chemotherapy (β = 18.33, P = 0.024), and duration of illness (β = 2.25, P = 0.028) had a positive effect on the change in QoL, while time (β =  - 2.95, P < 0.001), cancer experience (β =  - 0.46, P < 0.001), and type of medical insurance (β =  - 2.77, P = 0.021) had the negative effect on the change in QoL.

CONCLUSION

The QoL, perceived control, and self-efficacy of patients with breast cancer show dynamic changes during radiotherapy. The higher the self-efficacy, the better the QoL, and the worse the QoL when the sense of disease control is poor. At the same time, more attention should be paid to the QoL of breast cancer radiotherapy patients with a long course of the disease, receiving chemotherapy, and different medical payment methods.

Physical health-related quality of life trajectories over two years following breast cancer diagnosis in older women: a secondary analysis

PURPOSE

To identify distinct trajectories of physical health-related quality of life (HRQoL) in older women over the first two years following breast cancer diagnosis, and to examine characteristics associated with trajectory group membership.

METHODS

A secondary analysis of a longitudinal study of women diagnosed with stage I-III breast cancer who completed surveys within eight months of diagnosis and six, twelve, and eighteen months later that focuses on a subset of women aged ≥ 65 years (N = 145).Physical HRQoL was assessed using the Physical Component Score (PCS) of the SF-36 Health Survey. Finite mixture modeling identified distinct PCS trajectories. Multivariable logistic regression identified variables predictive of low PCS group membership.

RESULTS

Two distinct patterns of PCS trajectories were identified. The majority (58%) of women had PCS above the age-based SF-36 population norms and improved slightly over time. However, 42% of women had low PCS that remained low over time. In multivariable analyses, older age, difficulty paying for basics, greater number of medical comorbidities, and higher body mass index were associated with low PCS group membership. Cancer treatment and psychosocial variables were not significantly associated.

CONCLUSION

A large subgroup of older women reported very low PCS that did not improve over time. Older age, obesity, multiple comorbidities, and lower socioeconomic status may be risk factors for poorer PCS in women with breast cancer. Incorporating routine comprehensive geriatric assessments that screen for these factors may help providers identify older women at risk for poorer physical HRQoL post breast cancer treatment.

Home-based lifestyle intervention for breast cancer survivors: A surprising improvement in the quality of life during the first year of COVID-19 pandemic

INTRODUCTION

The COVID-19 pandemic induced an extraordinary impact on public mental health to a degree not completely understood, especially in vulnerable populations such as breast cancer (BC) survivors. In this study, we described the short- (after 3-month) and long- (after 12-month) term effects of a multidisciplinary home-based lifestyle intervention in Italian women BC survivors during the first year of COVID-19 pandemic.

MATERIALS AND METHODS

In total, 30 Italian BC survivors with risk factors for recurrence took part in the ongoing MoviS trial (protocol: NCT04818359). Between January 2020 and January 2021, a 3-month lifestyle intervention based on psychological counseling, nutrition, and exercise was carried out. Participants were asked to fill out psychological questionnaires for the assessment of quality of life (QoL) indicators (European Organization for Research and Treatment of Cancer QoL, EORTC-QLQ-C30) and psychological health measures such as fatigue (Brief Fatigue Inventory, BFI), distress (Distress Thermometer, DT and Psychological Distress Inventory, PDI), cancer-related fatigue (Verbal Rating Scale, VRS), and mood states (Profile of Mood States Questionnaire, POMS). IBM SPSS Statistical Software version 27.0 and R Project for Statistical Computing version 4.2.1 were used to process data. All participants were assessed at four time points: T0 (baseline), T1 (3-month), and follow-up at T2 and T3 (6- and 12-month, respectively) to measure primary (quality of life indicators) and secondary (psychological health) outcomes. Friedman non parametric test and Wilcoxon signed rank test (with Bonferroni correction) were conducted to investigate the statistically significant differences in psychometric scores and between assessment times.

RESULTS

Compared to baseline (T0), at T1 most of the QoL indicators (i.e., symptoms of fatigue and general health) were improved (p < 0.017) with the exception of a worsening in participants' social functioning ability. Also, perception of severity of fatigue, distress, cancer-related fatigue, depression, and anger enhanced. Compared to baseline (T0), at T3 we mainly observed a stable condition with T0-T1 pairwise comparison, however other secondary outcomes (i.e., fatigue mood state, confusion, and anxiety) significantly improved.

DISCUSSION

Our preliminary findings support the proposal of this lifestyle intervention for BC survivors. Despite the home-confinement due to the COVID-19 pandemic, the intervention surprisingly improved QoL indicators and psychological health of the participants.

Factors Associated with Poor Quality of Life in Breast Cancer Survivors: A 3-Year Follow-Up Study

The purpose of this study was to identify subgroups of quality of life (QOL) changes in breast cancer survivors (BCSs), and to determine factors associated with subgroups of consistently low or deteriorated QOL. We enrolled 101 women recently diagnosed with breast cancer in South Korea and asked them to complete a questionnaire at baseline (within 1 month of diagnosis), 1 year later (Year 1), 2 years later (Year 2), and 3 years later (Year 3). We assessed QOL using the global QOL subscale from the EORTC QLQ-C30. We defined low QOL as a global QOL score 10 points below the mean score of the general population. Based on low QOL as defined in this study, we identified subgroups of QOL changes over 3 years. We identified four subgroups of QOL changes: improved (47.4%), stable (30%), continuously low (8.8%), and deteriorated (13.8%), and considered the last two categories (22.6%) poor QOL. Logistic regression analyses demonstrated that significant determinants of poor QOL were insomnia at Year 1, fatigue and anxiety at Year 2, and fatigue, depression, and comorbidity at Year 3. In conclusion, persistent symptoms of insomnia, fatigue, anxiety, depression, and comorbidity are potential risk factors for poor QOL in BCSs.

Psychological distress predicts quality of life in the first months of cancer diagnosis in cancer caregivers

In cancer caregivers, anxiety and depression may negatively impact quality of life. Information regarding correlations and the predictive capacity of anxiety and depression with regard to the domains of quality of life of caregivers 6 months after a patient's cancer diagnosis is sparse. Sixty-seven caregivers of cancer patients were recruited and completed the Hospital Anxiety and Depression Scale (HADS) and the Short-Form Health Survey (SF-36) 30-45 days (T1) and 180-200 days (T2) after diagnosis. Depression and anxiety (T1) correlated with quality of life in terms of general health, vitality, social functioning, as well as role limitations due to emotional problems, and mental health (T2). Depression scores at T1 predicted general health, vitality, social functioning, role limitations due to emotional problems and mental health. Although these results are interesting, it must be noted that the sample size was somewhat limited and that the patients' cancer types may have influenced the results obtained. Psychological distress, particularly depression, correlated with and acted as a predictor for changes in the different domains of quality of life, highlighting the relevance of the evaluation of psychological distress in cancer caregivers shortly after cancer diagnosis. These results underscore the importance of differentiating between the different domains in the evaluation of impairments of quality of life in cancer caregivers.

Factors Associated With Quality of Life Among Posttreatment Cancer Survivors in Korea: A Meta-analysis

BACKGROUND

Identification of factors associated with quality of life (QOL) among cancer survivors is crucial for identifying potential targets for intervention.

OBJECTIVES

We aimed to provide evidence of factors associated with the QOL among posttreatment cancer survivors in Korea.

METHODS

We performed a systematic literature search from January 2000 to September 2022 using PubMed, EMBASE, CINAHL, PsycINFO, and Korean databases (RISS, SCIENCEON). We evaluated study quality using the Joanna Briggs Institute Quality Appraisal Checklists for Analytical Cross-sectional Studies and performed statistical analysis using the R 3.0 software (R Foundation for Statistical Computing, Vienna, Austria) package. We analyzed the pooled effect sizes of potential QOL correlates by the random-effects model.

RESULTS

This meta-analysis included 31 studies with 8934 participants. The pooled estimates were significantly large for economic status (r = -0.53); significantly medium for fatigue (r = -0.39), anxiety (r = -0.29), depression (r = -0.42), self-efficacy (r = 0.37), and social support (r = 0.30); and significantly small for education level (r = -0.18), job status (r = -0.09), cancer stage (r = -0.20), and time since diagnosis (r = -0.26).

CONCLUSIONS

Low education level, having no job, low economic status, advanced cancer stage, short disease period, fatigue, anxiety, and depression were significantly associated with worse QOL, whereas self-efficacy and social support were significantly associated with better QOL.

IMPLICATIONS FOR PRACTICE

The findings have potential implications for identifying "at-risk survivors" of deteriorated QOL and for suggesting powerful strategies (eg, enhancing self-efficacy or social support) for improving QOL.

Health-Related Quality of Life, Fatigue, Level of Physical Activity, and Physical Capacity Before and After an Outpatient Rehabilitation Program for Women Within Working Age Treated for Breast Cancer

The aims were to examine changes in patient-reported outcome measures (PROMs), level of physical activity (LPA), and physical capacity from before to after an outpatient rehabilitation program (ORP) for women with breast cancer (BC). Further aims were to explore the proportions of patients with clinically relevant improvements defined as ≥ 10% beneficial change in the scores of PROMs and variables associated with such improvements.A total of 270 women within working age (< 67 years) who recently (< 1.5 years) had completed primary therapy for BC with curative intent were included. The ORP consisted of seven weekly group sessions with patient education, group conversations, and PA. The patients completed questionnaires measuring health-related quality of life (HRQoL), fatigue and LPA before (T0), immediately after (T1), and 6 months after (T2) the program, and were physically tested at T0 and T1. The mean age of the patients was 50.4 years (SD 7.3) and the mean time since diagnosis was 10.6 months (SD 2.6). All patients had undergone surgery and 94% radiotherapy, and 96% had received chemotherapy and/or hormonal therapy.Physical-, role-, emotional-, cognitive-, and social function, global health, and fatigue significantly improved from T0 to T1. Physical-, role-, and cognitive function, and fatigue significantly improved from T1 to T2. LPA and physical capacity significantly improved from T0 to T1. More than 40% of the patients had a clinically relevant improvement in role-, social function, and fatigue symptoms, from T0 to T1. Low level of education was associated with an improvement in emotional function, and living alone was associated with an improvement in mental fatigue.HRQoL, fatigue, LPA, and physical capacity improved in women within working age recently treated for BC who participated in an ORP.

Antidepressants for the treatment of depression in people with cancer

BACKGROUND

Major depression and other depressive conditions are common in people with cancer. These conditions are not easily detectable in clinical practice, due to the overlap between medical and psychiatric symptoms, as described by diagnostic manuals such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). Moreover, it is particularly challenging to distinguish between pathological and normal reactions to such a severe illness. Depressive symptoms, even in subthreshold manifestations, have a negative impact in terms of quality of life, compliance with anticancer treatment, suicide risk and possibly the mortality rate for the cancer itself. Randomised controlled trials (RCTs) on the efficacy, tolerability and acceptability of antidepressants in this population are few and often report conflicting results.

OBJECTIVES

To evaluate the efficacy, tolerability and acceptability of antidepressants for treating depressive symptoms in adults (aged 18 years or older) with cancer (any site and stage).

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was November 2022.

SELECTION CRITERIA

We included RCTs comparing antidepressants versus placebo, or antidepressants versus other antidepressants, in adults (aged 18 years or above) with any primary diagnosis of cancer and depression (including major depressive disorder, adjustment disorder, dysthymic disorder or depressive symptoms in the absence of a formal diagnosis).

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our primary outcome was 1. efficacy as a continuous outcome. Our secondary outcomes were 2. efficacy as a dichotomous outcome, 3. Social adjustment, 4. health-related quality of life and 5. dropouts. We used GRADE to assess certainty of evidence for each outcome.

MAIN RESULTS

We identified 14 studies (1364 participants), 10 of which contributed to the meta-analysis for the primary outcome. Six of these compared antidepressants and placebo, three compared two antidepressants, and one three-armed study compared two antidepressants and placebo. In this update, we included four additional studies, three of which contributed data for the primary outcome. For acute-phase treatment response (six to 12 weeks), antidepressants may reduce depressive symptoms when compared with placebo, even though the evidence is very uncertain. This was true when depressive symptoms were measured as a continuous outcome (standardised mean difference (SMD) -0.52, 95% confidence interval (CI) -0.92 to -0.12; 7 studies, 511 participants; very low-certainty evidence) and when measured as a proportion of people who had depression at the end of the study (risk ratio (RR) 0.74, 95% CI 0.57 to 0.96; 5 studies, 662 participants; very low-certainty evidence). No studies reported data on follow-up response (more than 12 weeks). In head-to-head comparisons, we retrieved data for selective serotonin reuptake inhibitors (SSRIs) versus tricyclic antidepressants (TCAs) and for mirtazapine versus TCAs. There was no difference between the various classes of antidepressants (continuous outcome: SSRI versus TCA: SMD -0.08, 95% CI -0.34 to 0.18; 3 studies, 237 participants; very low-certainty evidence; mirtazapine versus TCA: SMD -4.80, 95% CI -9.70 to 0.10; 1 study, 25 participants). There was a potential beneficial effect of antidepressants versus placebo for the secondary efficacy outcomes (continuous outcome, response at one to four weeks; very low-certainty evidence). There were no differences for these outcomes when comparing two different classes of antidepressants, even though the evidence was very uncertain. In terms of dropouts due to any cause, we found no difference between antidepressants compared with placebo (RR 0.85, 95% CI 0.52 to 1.38; 9 studies, 889 participants; very low-certainty evidence), and between SSRIs and TCAs (RR 0.83, 95% CI 0.53 to 1.22; 3 studies, 237 participants). We downgraded the certainty of the evidence because of the heterogeneous quality of the studies, imprecision arising from small sample sizes and wide CIs, and inconsistency due to statistical or clinical heterogeneity.

AUTHORS' CONCLUSIONS

Despite the impact of depression on people with cancer, the available studies were few and of low quality. This review found a potential beneficial effect of antidepressants against placebo in depressed participants with cancer. However, the certainty of evidence is very low and, on the basis of these results, it is difficult to draw clear implications for practice. The use of antidepressants in people with cancer should be considered on an individual basis and, considering the lack of head-to-head data, the choice of which drug to prescribe may be based on the data on antidepressant efficacy in the general population of people with major depression, also taking into account that data on people with other serious medical conditions suggest a positive safety profile for the SSRIs. Furthermore, this update shows that the usage of the newly US Food and Drug Administration-approved antidepressant esketamine in its intravenous formulation might represent a potential treatment for this specific population of people, since it can be used both as an anaesthetic and an antidepressant. However, data are too inconclusive and further studies are needed. We conclude that to better inform clinical practice, there is an urgent need for large, simple, randomised, pragmatic trials comparing commonly used antidepressants versus placebo in people with cancer who have depressive symptoms, with or without a formal diagnosis of a depressive disorder.

Predicting health-related quality of life change using natural language processing in thyroid cancer

Background

Patient-reported outcomes (PRO) allow clinicians to measure health-related quality of life (HRQOL) and understand patients' treatment priorities, but obtaining PRO requires surveys which are not part of routine care. We aimed to develop a preliminary natural language processing (NLP) pipeline to extract HRQOL trajectory based on deep learning models using patient language.

Materials and methods

Our data consisted of transcribed interviews of 100 patients undergoing surgical intervention for low-risk thyroid cancer, paired with HRQOL assessments completed during the same visits. Our outcome measure was HRQOL trajectory measured by the SF-12 physical and mental component scores (PCS and MCS), and average THYCA-QoL score.We constructed an NLP pipeline based on BERT, a modern deep language model that captures context semantics, to predict HRQOL trajectory as measured by the above endpoints. We compared this to baseline models using logistic regression and support vector machines trained on bag-of-words representations of transcripts obtained using Linguistic Inquiry and Word Count (LIWC). Finally, given the modest dataset size, we implemented two data augmentation methods to improve performance: first by generating synthetic samples via GPT-2, and second by changing the representation of available data via sequence-by-sequence pairing, which is a novel approach.

Results

A BERT-based deep learning model, with GPT-2 synthetic sample augmentation, demonstrated an area-under-curve of 76.3% in the classification of HRQOL accuracy as measured by PCS, compared to the baseline logistic regression and bag-of-words model, which had an AUC of 59.9%. The sequence-by-sequence pairing method for augmentation had an AUC of 71.2% when used with the BERT model.

Conclusions

NLP methods show promise in extracting PRO from unstructured narrative data, and in the future may aid in assessing and forecasting patients' HRQOL in response to medical treatments. Our experiments with optimization methods suggest larger amounts of novel data would further improve performance of the classification model.

Trajectories of quality of life in breast cancer survivors during the first year after treatment: a longitudinal study

BACKGROUND

Although quality of life (QOL) improves over time for most breast cancer patients after their treatment, some patients may show different patterns of QOL. Beyond determining distinct QOL trajectories, identifying characteristics of patients who have different trajectories can help identify breast cancer patients who may benefit from intervention. We aimed to identify trajectories of QOL in breast cancer patients for one year after the end of primary treatment, to determine the factors influencing these changes.

METHODS

This longitudinal study recruited 140 breast cancer patients. Patients' QOL, symptom experience, self-efficacy, and social support were assessed using the Functional Assessment of Cancer Therapy Scale-G, Memorial Symptom Assessment Scale-Short Form, Self-Efficacy Scale for Self-Management of Breast Cancer, and Interpersonal Support Evaluation List-12. Data were collected immediately after the end of primary treatment (T1) and at three (T2), six (T3), and 12 months (T4) after primary treatment. Group-based trajectory modeling was used to identify distinct subgroups of patients with similar patterns of QOL change after treatment. A one-way analysis of variance was used to determine which variables were associated with trajectory membership. A multinomial logistic regression was performed to identify factors associated with trajectory group membership.

RESULTS

We analyzed 124 patients (mean age: 48.75 years). Latent class analysis of the QOL identified three trajectory groups: the low QOL group (n = 27; 21.1%), moderate QOL group (n = 57; 45.3%), and high QOL group (n = 40; 33.6%). The low QOL group showed consistently low QOL after the end of primary treatment, and the moderate QOL group showed a slight decrease in QOL from T1 to T3, which returned to the T1 level at T4. The high QOL group maintained a consistently high QOL. By multinomial logistic regression, psychological symptoms (odds ratio [OR] 0.46, 95% confidence interval [CI] 0.22-0.99) predicted a moderate QOL, and both psychological symptoms (OR 0.19, 95% CI 0.07-0.51) and belonging support (OR 1.60, 95% CI 1.06-2.39) predicted a high QOL.

CONCLUSION

Identifying high-risk groups for reduced QOL after the end of primary treatment is necessary. Moreover, psychosocial interventions should be provided to alleviate psychological symptoms and increase belonging support to enhance patients' QOL. Trial registration Not registered.

Biomarker opportunities in the treatment of cancer-related depression

Depression comorbid with cancer is common and associated with a host of negative health outcomes. The inflammatory basis of depression is a growing area of research in cancer, focused on how stressors transduce into inflammation and contribute to the emergence of depression. In this review, we synthesize inflammatory biomarker associations with both depression and the currently available pharmacotherapies and psychotherapies in cancer, underscoring the need for expanding research on anti-inflammatory agents with antidepressant effects. Modulation of inflammatory neuroimmune pathways can slow tumor progression and reduce metastases. Biomarkers associated with depression in cancer may help with diagnosis and treatment monitoring, as well as inform research on novel drug targets to potentially improve cancer survival.

Effectiveness of an online support program to help female cancer patients manage their health and illness: Protocol for a randomized controlled trial

Background

The aim of the trial is to evaluate the effectiveness of interventions provided by online support program apps, adopting health-related quality of life (HR-QOL) scores as indicators.

Methods

The design is as an open, randomized, parallel-group trial with longitudinal data collection. The subjects will be female cancer patients receiving treatment in a Japanese National Cancer Hospital. Patients assigned to the experimental group will use three apps: an app for them to monitor their own health (monitoring app), an app to assess their understanding of their diagnosis and treatment and their readiness to receive treatment (confirmation app), and an app to address mental health issues (writing app); patients assigned to the control group will use only the monitoring app. At baseline (before patients undergo cancer treatment) and three other times during the study, evaluation indicators will be obtained from three different standardized HR-QOL scales that are incorporated in the monitoring app. The study hypothesis is that at 6 months after patients’ baseline health monitoring, patients in the experimental group will have improved HR-QOL as compared with patients in the control group.

Conclusion

This study is based on self-regulation theory, so it is important that the online support program works in an efficient way with respect to patients finding and setting their own health-related goals and adapting their behaviors to achieve those goals. Verifying the effectiveness of the combination of the three apps will show that it is a scientifically valid approach to maintaining or improving the HR-QOL of cancer patients.

Quality of life and its influencing factors among breast cancer patients at Tikur Anbessa specialised hospital, Addis Ababa, Ethiopia

Background

Quality of life (QoL) has become an important measure for evaluating cancer patients’ treatment and prognosis. Breast cancer patients are at an increased risk of experiencing poor QoL during active treatment of cancer. This study aimed to assess QoL and it’s influencing factors among breast cancer patients using the newly updated breast cancer specific tool of the European Organisation for Research and Treatment of Cancer EORTC Breast Cancer Specific Quality of Life Questionnaire QLQ-BR45.

Methods

An institutional based crossectional study was conducted with 248 breast cancer patients at Tikur Anbessa Specialized Hospital (TASH). Descriptive statistics, one-way analysis of variance (ANOVA), and linear regression were used to describe and analyze the data.

Results

The participant’s Global health status/QoL mean score was 65.6. Among the functional scales, future perspective scored the lowest (57.1, SD ± 37.3). The highest mean score on the symptom scales/items were financial difficulties (50, SD ± 38.6), followed by appetite loss (37.4, SD ± 36.4) and fatigue (34.3, SD ± 27.1) while the lowest symptom score was diarrhoea (6.4 ± 18.4). EORTC QLQ-BR45, future perspective (mean = 57.1, SD ± 37.3) and upset by hair loss (41.8, SD ± 34.6) were the most affected functioning and symptoms scales respectively. An increased stage of tumor was associated with more pain (P = 0.041), appetite loss (P = 0.042), and arm symptoms (P = 0.003). Patients who had no comorbidity had better physical (P < 0.001), cognitive (P = 0.013), and social (P = 0.009) function.

Conclusion

These specific functional scales and symptoms should be assessed individually to address unmet needs. Clinicians could design psychosocial interventions to improve these function and to reduce symptoms.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09921-6.

Efficacy of a Combined Acceptance and Commitment Intervention to Improve Psychological Flexibility and Associated Symptoms in Cancer Patients: Study Protocol for a Randomized Controlled Trial

Psychological flexibility is a key concept of acceptation and commitment therapy (ACT). This factor has been linked with psychological wellbeing and associated factors, such as quality of life, in cancer patients. These and other positive results of acceptation and commitment therapy in cancer patients found in previous research could be enhanced by using mhealth tools. A three-arm randomized superiority clinical trial, with a pre-post-follow-up repeated measures intergroup design with a 1:1:1 allocation ratio is proposed. A hundred and twenty cancer patients will be randomly assigned to one of the following interventions: (1) face-to-face ACT + mobile application (app), (2) face-to-face ACT, and (3) Waitlist control group. The primary expected outcome is to observe significant improvements in psychological flexibility acceptance and action questionnaire- II (AAQ-II) in the face-to-face ACT + app group, after comparing baseline and post-treatment scores, and the scores will remain stable in the two assessment points, 3 and 6 months after the intervention. Secondary expected outcomes are significant increasing scores in quality of life (EORTC QLQ C-30) and post-traumatic-growth (PTGI-SF), and significant decreasing scores in anxiety and depression (HADS), insomnia (ISI) and fatigue (BFI) at the same assessment points. Also, it is expected that the scores of this group will be higher than the scores of the face-to-face ACT group and the waitlist control group. This study aims to assess the efficacy of a combined intervention (face-to face ACT + app) for psychological flexibility and associated symptoms in cancer patients. The results of this protocol may help to consider the use of acceptation and commitment therapy and mhealth applications in cancer settings as a valid therapeutic choice.

Impact of economic factors, social health and stressful life events on physical health-related quality of life trajectories in older Australians

PURPOSE

Physical health-related quality of life (HRQoL) is associated with adverse health outcomes, including hospitalizations and all-cause mortality. However, little is known about how physical HRQoL changes over time in older people and the predictors of this trajectory. This study (a) identified trajectories of physical HRQoL among older people and (b) explored whether economic factors, social health or stressful life events impact physical HRQoL trajectories.

METHOD

A cohort of 12,506 relatively 'healthy' community-dwelling Australians aged ≥ 70 years (54.4% females), enrolled in the ASPREE Longitudinal Study of Older Persons (ALSOP) study and was followed for six years. Economic factors, social health and life events in the last 12 months were assessed through a questionnaire at baseline. Physical HRQoL was measured by using the 12-item short form at baseline and annual follow-ups. Growth mixture and structural equation modelling were used to identify physical HRQoL trajectories and their predictors.

RESULTS

Four physical HRQoL trajectories were identified-stable low (7.1%), declining (9.0%), stable intermediate (17.9%) and stable high (66.0%). Living in more disadvantaged areas, having a lower household income, no paid work, no voluntary work, loneliness and stressful life events (i.e. spousal illness, friend/family illness, financial problem) were associated with a 10%-152% higher likelihood of being in the stable low or declining physical HRQoL trajectory than the stable high group.

CONCLUSION

Specific stressful life events had a greater impact on adverse physical HRQoL trajectories in older people than other factors. Volunteering may prevent physical HRQoL decline and requires further investigation.

Recent trends in the management of depression in persons with cancer

PURPOSE OF REVIEW

Depression is a prevalent comorbidity in cancer that significantly increases the risk for numerous negative health outcomes. This review updates the current evidence base for management of depression in cancer, highlighting new research directions based on the inflammatory hypothesis of depression.

RECENT FINDINGS

Research on pharmacotherapy and psychotherapy for depression in cancer has shown mixed efficacy partly because of methodological issues arising from the phenomenology of depression in cancer. After decades of stagnancy, more recent high-quality clinical trials are beginning to provide an evidence base to guide treatment. Inflammatory cytokine-associated depression is a subtype of depression that may have particular relevance in cancer, opening new avenues to explore therapeutic targets and biobehavioral impacts of interventions, which may improve cancer outcomes.

SUMMARY

The continuum of severity in cancer-related depression is important to consider in management approaches. Choice of treatment should be personalized to the patient and their symptom profile as there is currently insufficient evidence to recommend any particular medication or psychotherapy over another. Psychological interventions should be considered first line for mild-to-moderate depression, and pharmacological treatment added for more severe depression, which can be optimally delivered within a collaborative care model.

VIDEO ABSTRACT

http://links.lww.com/YCO/A62.

Early Trajectories of Patient Reported Outcomes in Breast Cancer Patients Undergoing Lumpectomy Versus Mastectomy

PURPOSE

This study was designed to: (1) characterize longitudinal patient-reported outcomes (PROs) between breast cancer patients undergoing lumpectomy and mastectomy and (2) compare return to baseline scores at 3 months and 6 months postoperatively.

METHODS

Newly diagnosed breast cancer patients seen at an academic breast center between June 2019 and February 2021 were invited to participate in longitudinal PRO surveys at their initial clinic visit. If willing to participate, patients were emailed the validated BREAST-Q™ questionnaire at the initial clinic visit (baseline), 2 weeks after surgery, and then every 3 months for the first year. We used linear mixed models to estimate the differences in slopes over time between lumpectomy and mastectomy for each PRO measure. Pearson's Chi-square tests with Yates' continuity correction were used to compare proportions of patients who return to baseline PRO scores. P < 0.05 was considered significant.

RESULTS

Of 164 patients invited to participate, 100 (61%) completed a baseline survey and were included in analyses. Mastectomy patients had significantly greater decreases in breast satisfaction (P = 0.002), psychosocial well-being (P < 0.0001), and sexual well-being (P < 0.0001) over time compared with lumpectomy patients. Both surgical groups reported a decrease in physical well-being, although the decline was more significant in lumpectomy patients (P = 0.005). At 3 months and 6 months after surgery, significantly larger proportions of lumpectomy patients returned to their baseline breast satisfaction, psychosocial well-being, and physical well-being compared with mastectomy patients.

CONCLUSIONS

Understanding how outcomes important to patients change over the care continuum can provide opportunities for early intervention and may prevent debilitating long-term morbidities of treatment.

Physical Activity as an Imperative Support in Breast Cancer Management

Breast cancer (BC) is the most common malignancy and the second cause of cancer-related death among women. It is estimated that 9 in 10 cases of BC are due to non-genetic factors, and approximately 25% to 30% of total breast cancer cases should be preventable only by lifestyle interventions. In this context, physical activity represents an excellent and accessible approach not only for the prevention, but also for being a potential support in the management of breast cancer. The present review will collect the current knowledge of physical activity in the background of breast cancer, exploring its systemic and molecular effects, considering important variables in the training of these women and the evidence regarding the benefits of exercise on breast cancer survival and prognosis. We will also summarize the various effects of physical activity as a co-adjuvant therapy in women receiving different treatments to deal with its adverse effects. Finally, we will reveal the impact of physical activity in the enhancement of quality of life of these patients, to conclude the central role that exercise must occupy in breast cancer management, in an adequate context of a healthy lifestyle.