Fear of cancer recurrence in breast cancer: A moderated serial mediation analysis of a prospective international study.

OBJECTIVE: Women dealing with breast cancer (BC) face many challenges, one of which is the fear of cancer recurrence (FCR). This study examined whether disease severity predicts FCR 6 months after cancer diagnosis through psychological distress and whether cognitive-emotion regulation moderates this effect. METHOD: The study sample included 656 women from Italy (27.5%), Finland (31.9%), Israel (19.8%), and Portugal (20.8%) diagnosed with Stages I-III of BC. Participants' age ranged between 40 and 70 years (M = 54.92, SD = 8.22). Participants were tracked following BC diagnosis and at 3 and 6 months follow-up. Participants filled out self-report questionnaires, including the FCR inventory-short form, the Hospital Anxiety and Depression Scale, and the cognitive-emotion regulation questionnaire along with medical-social-demographic data. RESULTS: Greater disease severity at baseline indicated by higher cancer stage predicted greater psychological distress, which in turn predicted greater psychological distress at 3 months. The latter predicted greater FCR at 6 months. This serial mediation model was moderated by negative cognitive-emotion regulation. The mediating effect of disease severity on FCR through psychological distress was significant only in women with mean or higher levels of negative cognitive-emotion regulation. CONCLUSION: This study suggests that facilitating psychological well-being and effective cognitive-emotion regulation in the early stages after a cancer diagnosis may protect women from FCR. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Can mindfulness facilitate posttraumatic growth in breast cancer patients? The mediating role of illness perceptions and positive emotions.

The current observational study aimed to examine the relationship between mindfulness and posttraumatic growth (PTG) among patients with breast cancer. Additionally, it explores the mediating role of illness perceptions and positive emotions. A total of 697 women with breast cancer were recruited from four clinical sites as part of the Bounce project in Finland, Portugal, Italy, and Israel. The study measures were mindfulness (MAAS), illness perceptions (IPQ), positive affect (PANAS), and post-traumatic growth (PTGI) at three time points: near the time of diagnosis, 6 months, and 12 months post-diagnosis. A higher level of mindfulness was associated with perceptions of the illness as less chronic. Specifically, the perception of a limited timeline of breast cancer was associated with positive emotions, thus leading to enhanced PTG. Emphasis should be placed on promoting mindfulness, elaborating on illness perceptions, and maintaining positive affect as part of clinical interventions for PTG among breast cancer patients.

Intergroup violence among Jewish and Arab youths in Israel: Testing a multifactor ecological model.

OBJECTIVE: Hundreds of thousands of people around the world have lost their lives to intergroup violence (IV) over the past two decades. The current study tested a multifactor ecological model, including societal (exposure to trauma), social (exposure to community violence, and conflict with parents), and individual (exposure to microaggression) factors for engagement in IV in two samples of Israeli youths, Jewish (N = 306), and Arab (N = 302). METHOD: Participants filled out self-report questionnaires assessing exposure to trauma, community violence, conflict with parents, microaggression, and engagement in IV. RESULTS: The results showed that Arab youths who indicated higher levels of religiosity and reported experiencing more traumatic events, community violence, and microaggression were more likely to perpetrate IV (OR = 1.31, 1.39, 1.5, 2.28, respectively). Jewish youths who reported exposure to more traumatic events, more conflict with parents, and greater exposure to microaggression events were more likely to perpetrate IV (OR = 2.28, 2.70, 3.25, respectively). CONCLUSION: The current study illuminates the similarities (traumatic events and microaggression) and the differential associations of individual, social, and societal factors and IV among Jewish and Arab youths. Microaggression emerged as the strongest predictor for IV in both groups. These findings highlight the need to inform ecological interventions aimed at mitigating IV in a context-sensitive manner. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Economic disadvantage and depressive symptoms among Arab and Jewish women in Israel: the role of social support and formal services.

OBJECTIVES: Depression is a major public health concern due to its high prevalence and association with functioning. Ethnic minorities in Western countries are more likely to experience economic disadvantage and exposure to stressors that may put them at higher risk of developing depression. One major protective factor associated with reduced depressive symptoms is an existing support network. This study examined the associations between economic disadvantage, formal and informal social support, and depressive symptoms among two ethnicity groups in Israel: Arab and Jewish mothers of young children, as well as the potential mediating role of formal and informal social support in the associations between economic disadvantage and depressive symptoms. DESIGN: We recruited a representative sample of 837 Jewish and Arab mothers of children aged 2-6 years. We collected data via structured face-to-face interviews following approval of the university ethic committee. We used the Center for Epidemiologic Studies Depression Scale (CES-D), the Medical Outcomes Study (MOS) scale to measure maternal perceived social support, and a measure designed for this study to quantify formal social support. RESULTS: Compared to the Jewish mothers, Arab mothers reported more depressive symptoms, greater economic disadvantage, and fewer informal and formal support networks. Economic disadvantage was negatively associated with informal support but positively associated with formal support among both Jewish and Arab mothers. Results further revealed that informal and formal social support mediated the associations between economic disadvantage and symptoms of depression. CONCLUSIONS: More attention should be paid to the associations between social determinants and mothers' mental health, with a possible shift of focus to macro-level factors, such as economic inequality and minority status.

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.

Protective Factors against Fear of Cancer Recurrence in Breast Cancer Patients: A Latent Growth Model.

The current study aimed to examine the fear of cancer recurrence (FCR) trajectory and protective predictors in women coping with breast cancer (BC). The study's model investigated whether a higher coping self-efficacy and positive cognitive-emotion regulation at the time of the BC diagnosis would lead to reduced levels of FCR at six months and in later stages (12 and 18 months) post-diagnosis. The sample included 494 women with stages I to III BC from Finland, Italy, Portugal, and Israel. They completed self-report questionnaires, including the Fear of Cancer Recurrence Inventory (FCRI-SF), the Cancer Behavior Inventory-Brief Version (CBI-B), the Cognitive-Emotion Regulation Questionnaire (CERQ short), and medical-social-demographic data. Findings revealed that a higher coping self-efficacy at diagnosis predicted lower FCR levels after six months but did not impact the FCR trajectory over time. Surprisingly, positive cognitive-emotion regulation did not predict FCR levels or changes over 18 months. FCR levels remained stable from six to 18 months post-diagnosis. This study emphasizes the importance of developing specific cancer coping skills, such as coping self-efficacy. Enhancing coping self-efficacy in the first six months after BC diagnosis may lead to lower FCR levels later, as FCR tends to persist in the following year.

University students' psychological distress during the COVID-19 pandemic: A structural equation model of the role of resource loss and gain.

Using the Conservation of Resources (COR) theory, we aimed to determine whether university students' loss and gain in resources during the pandemic mediated the relationships between COVID-19 exposure/concern and depression and anxiety. In 2021, 7013 Israeli university students completed online questionnaires. We assessed the data using structural equation modeling. We found that resource loss was directly related to concern (ß = 0.32, p < 0.001). Depression and anxiety were both directly related to loss of resources (depression: ß = 0.75, p < 0.001; anxiety: ß = 0.69, p < 0.001) and concern (depression: ß = 0.06, p < 0.001; anxiety: ß = 0.12, p < 0.001). Resource loss had an indirect effect on the relationships between concern and depression (ß = 0.24, p < 0.001) and concern and anxiety (ß = 0.22, p < 0.001). COR theory may help explain the mechanisms behind university students' mental health during the pandemic and provides a framework to better understand preparedness for future pandemics, epidemics, and major disasters. Governments and universities should help prevent the loss of resources during future emergencies.

Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support Tool.

BACKGROUND: Health professionals are often faced with the need to identify women at risk of manifesting poor psychological resilience following the diagnosis and treatment of breast cancer. Machine learning algorithms are increasingly used to support clinical decision support (CDS) tools in helping health professionals identify women who are at risk of adverse well-being outcomes and plan customized psychological interventions for women at risk. Clinical flexibility, cross-validated performance accuracy, and model explainability permitting person-specific identification of risk factors are highly desirable features of such tools. OBJECTIVE: This study aimed to develop and cross-validate machine learning models designed to identify breast cancer survivors at risk of poor overall mental health and global quality of life and identify potential targets of personalized psychological interventions according to an extensive set of clinical recommendations. METHODS: A set of 12 alternative models was developed to improve the clinical flexibility of the CDS tool. All models were validated using longitudinal data from a prospective, multicenter clinical pilot at 5 major oncology centers in 4 countries (Italy, Finland, Israel, and Portugal; the Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back [BOUNCE] project). A total of 706 patients with highly treatable breast cancer were enrolled shortly after diagnosis and before the onset of oncological treatments and were followed up for 18 months. An extensive set of demographic, lifestyle, clinical, psychological, and biological variables measured within 3 months after enrollment served as predictors. Rigorous feature selection isolated key psychological resilience outcomes that could be incorporated into future clinical practice. RESULTS: Balanced random forest classifiers were successful at predicting well-being outcomes, with accuracies ranging between 78% and 82% (for 12-month end points after diagnosis) and between 74% and 83% (for 18-month end points after diagnosis). Explainability and interpretability analyses built on the best-performing models were used to identify potentially modifiable psychological and lifestyle characteristics that, if addressed systematically in the context of personalized psychological interventions, would be most likely to promote resilience for a given patient. CONCLUSIONS: Our results highlight the clinical utility of the BOUNCE modeling approach by focusing on resilience predictors that can be readily available to practicing clinicians at major oncology centers. The BOUNCE CDS tool paves the way for personalized risk assessment methods to identify patients at high risk of adverse well-being outcomes and direct valuable resources toward those most in need of specialized psychological interventions.

How does social support relate to emotional availability for learning during COVID-19? A multi-group structural equation model of university students from the U.S. and Israel.

Given the social and emotional tolls of the COVID-19 pandemic on college and university students, many students have become academically disengaged during the pandemic. Although some colleges and universities have the capacity to promote social support for their students, research has yet to comprehensively demonstrate the relationship between social support and academic engagement. To fill this gap, we leverage survey results from four universities across the United States and Israel. Through multi-group structural equation modelling, we explore (a) how perceived social support relates to being emotionally unavailable for learning, (b) how this relationship is partially explained through coping and COVID-19 concerns, and (c) how these relationships can differ across countries. We find that students who perceived higher levels of social support had lower rates of being emotionally unavailable for learning. Part of this relationship occurred through greater rates of coping and, subsequently, fewer concerns about the pandemic. We also noticed significant differences in these relationships between countries. We conclude with a discussion of study implications for higher education policies and practices.

Trajectories of Quality of Life among an International Sample of Women during the First Year after the Diagnosis of Early Breast Cancer: A Latent Growth Curve Analysis.

The current study aimed to track the trajectory of quality of life (QoL) among subgroups of women with breast cancer in the first 12 months post-diagnosis. We also aimed to assess the number and portion of women classified into each distinct trajectory and the sociodemographic, clinical, and psychosocial factors associated with these trajectories. The international sample included 699 participants who were recruited soon after being diagnosed with breast cancer as part of the BOUNCE Project. QoL was assessed at baseline and after 3, 6, 9, and 12 months, and we used Latent Class Growth Analysis to identify trajectory subgroups. Sociodemographic, clinical, and psychosocial factors at baseline were used to predict latent class membership. Four distinct QoL trajectories were identified in the first 12 months after a breast cancer diagnosis: medium and stable (26% of participants); medium and improving (47%); high and improving (18%); and low and stable (9%). Thus, most women experienced improvements in QoL during the first year post-diagnosis. However, approximately one-third of women experienced consistently low-to-medium QoL. Cancer stage was the only variable which was related to the QoL trajectory in the multivariate analysis. Early interventions which specifically target women who are at risk of ongoing low QoL are needed.

Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study.

Identifying individual patient characteristics that contribute to long-term mental health deterioration following diagnosis of breast cancer (BC) is critical in clinical practice. The present study employed a supervised machine learning pipeline to address this issue in a subset of data from a prospective, multinational cohort of women diagnosed with stage I-III BC with a curative treatment intention. Patients were classified as displaying stable HADS scores (Stable Group; n = 328) or reporting a significant increase in symptomatology between BC diagnosis and 12 months later (Deteriorated Group; n = 50). Sociodemographic, life-style, psychosocial, and medical variables collected on the first visit to their oncologist and three months later served as potential predictors of patient risk stratification. The flexible and comprehensive machine learning (ML) pipeline used entailed feature selection, model training, validation and testing. Model-agnostic analyses aided interpretation of model results at the variable- and patient-level. The two groups were discriminated with a high degree of accuracy (Area Under the Curve = 0.864) and a fair balance of sensitivity (0.85) and specificity (0.87). Both psychological (negative affect, certain coping with cancer reactions, lack of sense of control/positive expectations, and difficulties in regulating negative emotions) and biological variables (baseline percentage of neutrophils, thrombocyte count) emerged as important predictors of mental health deterioration in the long run. Personalized break-down profiles revealed the relative impact of specific variables toward successful model predictions for each patient. Identifying key risk factors for mental health deterioration is an essential first step toward prevention. Supervised ML models may guide clinical recommendations toward successful illness adaptation.

Continuous Exposure to Terrorism during the COVID-19 Pandemic: A Moderated Mediation Model in the Israeli Context.

This study tested the role of perceived social support as a moderating factor in the mediation of COVID-19-related concerns in the association between continuous traumatic stress (CTS) and depression. The study participants were 499 college students who responded to an anonymous online questionnaire. Measures included the assessment of prior continuous exposure to threats of terrorism, COVID-19-related distress, perceived social support and depressive symptoms. The results demonstrated that COVID-19-related concerns mediated the relationship between continuous exposure to threats of terrorism and depression symptoms, and that perceived social support moderated the association between COVID-19-related concerns and depression. The implications of the study highlight the role of prior exposure to traumatic stress as a risk factor for depression and the role of social support as a protective factor. These results point to the need to develop accessible and non-stigmatic mental health services for populations exposed to other types of continuous traumatic stress.

Perceived academic challenges of Jewish and Arab undergraduates during the first wave of COVID-19.

This study examined differences between Arab and Jewish undergraduate students in their perceived academic challenges, COVID-19-related concerns, perceived social support and trust in the university and the government. It also examined factors associated with perceived academic challenges and the moderating role of trust in the university in the associations between COVID-19-related concerns and perceived academic challenges. The sample consisted of 2751 students: 2291 (83%) Jewish, 398 (15%) Arab and 61 (2%) 'other'. Arab students reported higher COVID-19-related concerns and perceived academic challenges, and lower levels of perceived social support and trust in university and government than did Jewish students. Both Jewish and Arab students identified COVID-19-related concerns as a stress-vulnerability factor for perceived academic challenges, whereas perceived social support and trust in the university were identified as resources for perceived academic challenges. No support was found for the role of trust in government in the face of perceived academic challenges nor for the moderating role of trust in the university in the associations between COVID-19-related concerns and perceived academic challenges. In conclusion, the need of Arab students for emotional and academic support needs to be acknowledged as part of the efforts to promote academic success during the pandemic.

Parenthood during the COVID-19 pandemic: Post-traumatic growth amongst university students.

This study sought to investigate a positive dimension of coping with the COVID-19 pandemic, that of post-traumatic growth (PTG). This study investigated coping difficulties and PTG amongst parent and nonparent students in Israeli Universities. A total of 4022 parents (3648 Jews and 374 Palestinian-Arab Citizens [PACs]) and 14,651 nonparents (12,010 Jews and 2641 PACs) completed measures of coping, social support and PTG. Parents demonstrated significantly higher levels of coping and PTG. Amongst parents, fathers coped slightly better than mothers; however, while Jewish mothers demonstrated greater PTG than Jewish fathers, PAC fathers had significantly greater PTG than both PAC mothers and Jewish parents. These findings, while specific to COVID-19, indicate that PTG should be studied in greater depth in different ethnic and minority groups in order to develop enhanced understanding and facilitate promotion of post-traumatic growth, in addition to the prevention of COVID-19-related distress.

Psychological and somatic symptoms among breast cancer patients in four European countries: A cross-lagged panel model.

Psychological and physical health among women with breast cancer are linked. However, more research is needed to test the interrelations between psychological and somatic symptoms, over time and throughout the different phases of breast cancer treatment, to determine when and which interventions should be prioritized. Six hundred and eighty nine women from four countries (Finland, Israel, Italy and Portugal) completed questionnaires during their first clinical consultation following diagnosis with breast cancer, and again after 3 and 6 months. The questionnaires included self-reported measures of psychological symptoms (Hospital Anxiety and Depression Scale; the Positive and Negative Affect Schedule Short Form) and somatic symptoms [selected items from the International European Organization for Research and Treatment of Cancer (EORTC) questionnaires]. Psychological and somatic symptoms were relatively stable across the three time-points. Cross-lagged paths leading from somatic to psychological symptoms (beta coefficients of 0.08-0.10), as well as vice-versa (beta 0.11-0.12), were found to be significant. No evidence was found for cross-cultural differences in mutual effects of psychological and somatic symptoms. The findings of this study call for tailoring personal interventions for breast cancer patients-either from a somatic perspective or a psychological perspective-and adjust them to the specific experiences of the individual patient.

Associations between Physical Exercise, Quality of Life, Psychological Symptoms and Treatment Side Effects in Early Breast Cancer.

Background: Identifying and understanding modifiable factors for the well-being of cancer patients is critical in survivorship research. We studied variables associated with the exercise habits of breast cancer patients and investigated if the achievement of exercise recommendations was associated with enhanced quality of life and/or psychological well-being. Material and Methods. 311 women from Finland, Portugal, Israel, and Italy receiving adjuvant therapy for stage I-III breast cancer answered questions about sociodemographic factors and physical exercise. Quality of life was assessed by the EORTC C30 and BR23 questionnaires. Anxiety and depression were evaluated using the HADS scale. Results: At the beginning of adjuvant therapy and after twelve months, 32% and 26% of participants were physically inactive, 27% and 30% exercised between 30 and 150 minutes per week, while 41% and 45% exercised the recommended 150 minutes or more per week. Relative to other countries, Finnish participants were more likely to be active at baseline and at twelve months (89% vs. 50%, p < 0.001 and 87% vs. 64%, p < 0.001). Participants with stage I cancer were more likely to be active at twelve months than those with a higher stage (80% vs. 70%,p < 0.05). The inactive participants reported more anxiety (p < 0.05) and depression (p < 0.001), lower global quality of life (p < 0.001), and more side effects (p < 0.05) than the others at twelve months. Accordingly, those who remained inactive or decreased their level of exercise from baseline to twelve months reported more anxiety (p < 0.01) and depression (p < 0.001), lower global quality of life (p < 0.001), and more side effects (p < 0.05) than those with the same or increased level of exercise. Conclusion: For women with early breast cancer, exercise was associated with a better quality of life, less depression and anxiety, and fewer adverse events of adjuvant therapy. Trial registration number: NCT05095675. Paula Poikonen-Saksela on behalf of Bounce consortium (https://www.bounce-project.eu/).

Emotional distress and posttraumatic growth during the COVID-19 pandemic: The case of the ultra-Orthodox Jewish society in Israel.

OBJECTIVE: The COVID-19 pandemic has been associated with a range of negative responses, including emotional distress, as well as with positive changes, such as posttraumatic growth (PTG). Among the vulnerability factors the literature lists SES and being part of a minority group. The aim of this study is to identify patterns of responses among the ultra-Orthodox Jewish society in Israel, in terms of both emotional distress (anxiety and depression) and multiple dimensions of PTG. METHOD: The data were collected during the second wave of COVID-19 in Israel, between May and November 2020. The sample included 369 participants, all belonging to the ultra-Orthodox society. Latent class analysis was used to establish heterogeneous classes of participants displaying similar response patterns, using the Patient Health Questionnaire-9 (PHQ-9) for depression, the Generalized Anxiety Disorder-7 index (JAD-7), and the 10-item version of the Posttraumatic Growth Inventory (PTGI-10). Multinomial regression examined which of the predictors best distinguished between the classes. RESULTS: Three classes were identified, termed here Resilience, Growth, and Distress. As differential predictors of class membership, the study identified age; gender; self-rated health; and COVID-19-related potential negative experiences: economic decline, concerns, and microaggression. The Resilience and Growth patterns were the most prominent. A small number of participants formed a class characterized by high levels of distress. CONCLUSIONS: The findings contribute to understanding the psychological response patterns of a minority group to COVID-19. The characteristics of the three classes highlight the important role of potentially negative experiences related to COVID-19 in the response patterns. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back: Protocol for a Multicenter Clinical Pilot Study.

BACKGROUND: Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient's sociodemographic and psychological characteristics as well as on the social environment in which a person lives and interacts. Therefore, it is important to understand which factors may contribute to successful adaptation to breast cancer. To our knowledge, no studies have been performed on the combination effect of multiple psychological, biological, and functional variables in predicting the patient's ability to bounce back from a stressful life event, such as a breast cancer diagnosis. Here we describe the study protocol of a multicenter clinical study entitled "Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back" or, in short, BOUNCE. OBJECTIVE: The aim of the study is to build a quantitative mathematical model of factors associated with the capacity for optimal adjustment to cancer and to study resilience through the cancer continuum in a population of patients with breast cancer. METHODS: A total of 660 women with breast cancer will be recruited from five European cancer centers in Italy, Finland, Israel, and Portugal. Biomedical and psychosocial variables will be collected using the Noona Healthcare platform. Psychosocial, sociodemographic, lifestyle, and clinical variables will be measured every 3 months, starting from presurgery assessment (ie, baseline) to 18 months after surgery. Temporal data mining, time-series prediction, sequence classification methods, clustering time-series data, and temporal association rules will be used to develop the predictive model. RESULTS: The recruitment process stared in January 2019 and ended in November 2021. Preliminary results have been published in a scientific journal and are available for consultation on the BOUNCE project website. Data analysis and dissemination of the study results will be performed in 2022. CONCLUSIONS: This study will develop a predictive model that is able to describe individual resilience and identify different resilience trajectories along the care process. The results will allow the implementation of tailored interventions according to patients' needs, supported by eHealth technologies. TRIAL REGISTRATION: ClinicalTrials.gov NCT05095675; https://clinicaltrials.gov/ct2/show/NCT05095675. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34564.

Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study.

Being diagnosed with breast cancer (BC) can be a traumatic experience for patients who may experience symptoms of depression. In order to facilitate the prevention of such symptoms, it is crucial to understand how and why depressive symptoms emerge and evolve for each individual, from diagnosis through treatment and recovery. In the present work, data from a multicentric study of 706 BC patients followed for 12 months are analyzed. First, a trajectory-based unsupervised clustering based on K-means is performed to capture the dynamic patterns of change in patients' depressive symptoms after BC diagnosis and to identify distinct trajectory clusters. Then a supervised learning approach was employed to build a classification model of depression progression and to identify potential predictors. Patients were clustered into 4 groups: stable low, stable high, improving, and worsening depressive symptoms. In a nested cross-validation pipeline, the performance of the Support Vector Machine model for discriminating between "good" and "poor" progression was 0.78±0.05 in terms of AUC. Several psychological variables emerged as highly predictive of the evolution of depressive symptoms with the most important ones being negative affectivity and anxious preoccupation. Clinical Relevance-The findings of the present study may help clinicians tailor individualized psychological interventions aiming at alleviating the burden of these symptoms in women with breast cancer and improving their overall well-being.

The moderating role of coping flexibility in reports of somatic symptoms among early breast cancer patients.

OBJECTIVE: The current study assessed breast cancer patients' somatic symptoms during the first six months post diagnosis and examined the moderating role of coping flexibility (i.e., trauma-focused and forward-focused coping strategies) on the association between reported somatic symptoms three months after breast cancer diagnosis and somatic symptoms six months after diagnosis. METHOD AND MEASURES: An international sample of 702 women diagnosed with breast cancer from four countries (Finland, Israel, Italy, Portugal) completed self-reported questionnaires at three time points: at the time of diagnosis (M0), three months post diagnosis (M3), and six months post diagnosis (M6). The questionnaires included the coping flexibility scale and questions about demographics, medical data, and somatic symptoms. RESULTS: The highest level of somatic symptoms was reported after three months post diagnosis (M3), as compared to M0 and M6. Both trauma-focused and forward-focused coping strategies moderated the relationship between somatic symptoms at M3 and somatic symptoms at M6. CONCLUSION: The findings highlight the importance of assessing somatic symptoms soon after breast cancer diagnosis and throughout the early phase of treatment. Coping flexibility can buffer the stability of the somatic symptoms during this initial phase.