Trajectories of Anxiety and Depression Symptoms over Five Years since Breast Cancer Diagnosis: Results of the NEON-BC Prospective Study

Sleep disturbance among breast cancer survivors and controls from midlife to early older adulthood: Pink SWAN

PURPOSE

To compare sleep disturbance from 5 years pre- to 5 years post-diagnosis between breast cancer survivors (BCS) and women without cancer over the same period and to identify BCS subgroups exhibiting different sleep trajectories.

METHODS

Analyses included data from 152 BCS and 2163 controls from 20 years of follow-up in the longitudinal Study of Women's Health Across the Nation (SWAN), a multi-racial/ethnic cohort study. SWAN participants were assessed approximately annually from 1995 to 2015 using a standardized protocol. Pink SWAN focused on women who reported no cancer at SWAN enrollment and developed incident breast cancer after enrollment or did not develop breast cancer. Nonparametric locally weighted scatterplot smoothing plots and linear mixed models were used to compare the prevalence of the most frequently reported sleep problem, frequently waking several times a night (a sleep maintenance problem) during the previous 2 weeks, between BCS and controls in the 5 years pre- to 5 years post-diagnosis. We characterized heterogeneity among BCS on this sleep problem using group-based trajectories and examined pre-diagnosis variables as predictors of group membership.

RESULTS

No differences were found between BCS and controls in prevalence of frequent nighttime awakenings either before or after diagnosis. Among BCS, three trajectory groups were identified. Thirty-seven percent of BCS had consistently low prevalence of waking several times per night, 30% had high prevalence, and 33% had increasing prevalence which started 2 years pre-diagnosis. Prevalence of pre-diagnosis vasomotor symptoms, anxiety, depressive symptoms, and smoking differed among these groups.

CONCLUSION

Among mid-aged women diagnosed with breast cancer, this diagnosis did not trigger/amplify a sleep maintenance problem. The majority of BCS had similar levels of this sleep problem from pre- to post-diagnosis.

IMPLICATIONS FOR CANCER SURVIVORS

Although sleep maintenance problems were not amplified by a cancer diagnosis, a subset of BCS may have sleep issues that should be monitored and treated, as indicated.

Predictive Models of Psychological Distress, Quality of Life, and Adherence to Medication in Breast Cancer Patients: A Scoping Review

Purpose

An interplay of clinical and psychosocial variables affects breast cancer patients' experiences and clinical trajectories. Several studies investigated the role of socio-demographic, clinical, and psychosocial factors in predicting relevant outcomes in breast cancer care, thus developing predictive models. Our aim is to summarize predictive models for specific psychological and behavioral outcomes: psychological distress, quality of life, and medication adherence. Specifically, we aim to map the determinants of the outcomes of interest, offering a thorough overview of these models.

Methods

Databases (PubMed, Scopus, Embase) have been searched to identify studies meeting the inclusion criteria: a breast cancer patients' sample, development/validation of a predictive model for selected psychological/behavioral outcomes (ie, psychological distress, quality of life, and medication adherence), and availability of English full-text.

Results

Twenty-one papers describing predictive models for psychological distress, quality of life, and adherence to medication in breast cancer were included. The models were developed using different statistical approaches. It has been shown that treatment-related factors (eg, side-effects, type of surgery or treatment received), socio-demographic (eg, younger age, lower income, and inactive occupational status), clinical (eg, advanced stage of disease, comorbidities, physical symptoms such as fatigue, insomnia, and pain) and psychological variables (eg, anxiety, depression, body image dissatisfaction) might predict poorer outcomes.

Conclusion

Predictive models of distress, quality of life, and adherence, although heterogeneous, showed good predictive values, as indicated by the reported performance measures and metrics. Many of the predictors are easily available in patients' health records, whereas others (eg, coping strategies, perceived social support, illness perceptions) might be introduced in routine assessment practices. The possibility to assess such factors is a relevant resource for clinicians and researchers involved in developing and implementing psychological interventions for breast cancer patients.

Longitudinal trajectories of depression and quality of life in a cohort of cancer survivors and individuals without cancer in Europe

BACKGROUND

The long-term effects of cancer on psychological symptoms and quality of life (QoL) have been widely reported, but they were seldom examined over time compared to the general population.

AIMS

To investigate trajectories of depression and QoL over time among cancer survivors compared to individuals without cancer throughout Europe and identify associated factors.

METHODS

Data from five waves of the Survey of Health, Ageing and Retirement in Europe study were used. The study sample featured 1066 cancer survivors and 9655 individuals without cancer from 13 European countries. Group-based trajectory modeling was used to identify depression and QoL trajectories, and a linear mixed-effects model was used to characterize their correlates.

RESULTS

Four depression trajectories-stable low, stable high, increasing, and decreasing-and four QoL trajectories were identified. All QoL trajectories were stable over time, but differed in their levels: low, low-medium, medium-high, and high. Depression and QoL trajectories were similar between cancer survivors and individuals without cancer. However, significantly more cancer survivors had high-depression and low-QoL trajectories. Further, better perceived health, activities of daily living, physical activity, and income adequacy levels were significantly associated with changes in depression and QoL levels over time.

CONCLUSIONS

Although depression and QoL trajectories did not differ between cancer survivors and individuals without cancer, more cancer survivors were characterized by high-depression and low-QoL life trajectories.

IMPLICATIONS FOR CANCER SURVIVORS

Providers should be aware and screen for cancer survivors with elevated depression and low QoL, and promote relevant psychosocial interventions. Modifiable factors associated with depression and QoL can be targets for cancer survivors' long-term care plans.

Prevalence of mental disorders, psychosocial distress, and perceived need for psychosocial support in cancer patients and their relatives stratified by biopsychosocial factors: rationale, study design, and methods of a prospective multi-center observational cohort study (LUPE study)

Background

Despite remarkable progress, cancer remains a life-threatening disease for millions of people worldwide, also resulting in significant psychosocial limitations. High-quality, comprehensive cancer care requires patient and family involvement and the provision of needs-based, targeted psychosocial services. Although progress has been made in understanding the occurrence of mental comorbidity and psychosocial distress in cancer patients, comparatively little is known about the course of psychological comorbidity and psychosocial distress in early survivorship among patients and their families. We therefore aim to estimate the prevalence of mental disorders according to the DSM-5, psychosocial distress, perceived needs for psychosocial support and utilization of psychosocial support offers in newly diagnosed cancer patients and their relatives, taking into account potential contributing biopsychosocial factors for the occurrence of psychological comorbidity.

Methods/design

This study follows a prospective multi-center observational cohort design across four measurement time points: within 2 months after cancer diagnosis (t1), and in the follow-up period at 6 months (t2), at 12 months (t3), and at 18 months (t4) after t1. Patients older than 18 years who have a confirmed initial diagnosis of a malignant solid tumor and are scheduled for cancer treatment at one of the participating cancer centers are eligible for study participation. Relatives of eligible patients are also eligible for study participation if they are older than 18 years. Patients are interviewed using the Structured Clinical Interview for DSM-5 Disorders (SCID-5-CV). In addition, patients and relatives receive a set of validated questionnaires at each measurement time point, covering comorbid conditions and functional performance, perceived psychological distress and quality of life, partnership aspects and social relationships, supportive care needs and use of psychosocial support services, health literacy, and health behavior and meaning in life.

Discussion

This prospective multi-center observational cohort study has a major focus on increasing quality of care and quality of life in cancer survivors through providing rigorous longitudinal data for the development and implementation of target group-specific psychosocial support services.

Trial registration

NCT04620564, date of registration 9/11/2020; DKG OnkoZert: Registrier-No.: ST-U134, date of registration 5/11/2021.