Breast Cancer Collaborative Registry informs understanding of factors predicting sleep quality

Preoperative decreased physical activity is associated with greater postoperative pain: the mediating role of preoperative sleep disturbance

PURPOSE

Engagement in physical activity (PA) is often associated with better sleep quality and less pain severity among patients diagnosed with breast cancer. However, less research has focused on whether patients' PA prior to breast surgery, including their perceived decrease in PA level, is associated with worse preoperative sleep quality, and subsequently, greater postoperative pain. This longitudinal study investigated whether patients' preoperative PA was associated with their postoperative pain. We also explored whether preoperative sleep disturbance partially mediated the relationship between preoperative PA and postoperative pain.

METHODS

Prior to breast surgery, patients self-reported both their overall level of PA and whether they perceived a decrease in their PA since the diagnosis/onset of treatment for cancer. Patients also completed a measure of preoperative sleep disturbance. Two weeks after surgery, patients completed a measure of postoperative surgical-area pain severity.

RESULTS

Our results showed that preoperatively perceiving a decrease in PA level was significantly associated with greater preoperative sleep disturbance and postoperative pain. A mediation analysis revealed that the association between preoperative decreased PA and postoperative pain was partially mediated by preoperative sleep disturbance. Notably, patients' overall preoperative level of PA was not related to preoperative sleep disturbance or postoperative pain.

CONCLUSION

These findings suggest that maintaining, or even increasing, PA after diagnosis/treatment may be more important than the absolute amount of PA that women engage in during the preoperative period. Potentially, some patients with breast cancer may benefit from a preoperative intervention focused on both maintaining PA and bolstering sleep quality.

Interventions for insomnia in cancer patients and survivors-a comprehensive systematic review and meta-analysis

BACKGROUND

Considering the persistent nature and higher prevalence of insomnia in cancer patients and survivors compared with the general population, there is a need for effective management strategies. This systematic review and meta-analysis aimed to comprehensively evaluate the available evidence for the efficacy of pharmacological and nonpharmacological interventions for insomnia in adult cancer patients and survivors.

METHODS

Following the PRISMA guidelines, we analyzed data from 61 randomized controlled trials involving 6528 participants. Interventions included pharmacological, physical, and psychological treatments, with a focus on insomnia severity and secondary sleep and non-sleep outcomes. Frequentist and Bayesian analytical strategies were employed for data synthesis and interpretation.

RESULTS

Cognitive-Behavioral Therapy for Insomnia (CBT-I) emerged as the most efficacious intervention for reducing insomnia severity in cancer survivors and further demonstrated significant improvements in fatigue, depressive symptoms, and anxiety. CBT-I showed a large postintervention effect (g = 0.86; 95% confidence interval [CI] = 0.57 to 1.15) and a medium effect at follow-up (g = 0.55; 95% CI = 0.18 to 0.92). Other interventions such as bright white light therapy, sleep medication, melatonin, exercise, mind-body therapies, and mindfulness-based therapies showed benefits, but the evidence for their efficacy was less convincing compared with CBT-I. Brief Behavioral Therapy for Insomnia showed promise as a less burdensome alternative for patients in active cancer treatment.

CONCLUSIONS

CBT-I is supported as a first-line treatment for insomnia in cancer survivors, with significant benefits observed across sleep and non-sleep outcomes. The findings also highlight the potential of less intensive alternatives. The research contributes valuable insights for clinical practice and underscores the need for further exploration into the complexities of sleep disturbances in cancer patients and survivors.

Global prevalence of poor sleep quality in cancer patients: A systematic review and meta-analysis

OBJECTIVE

Poor sleep quality is common in patients with cancer, but the prevalence rates varied widely across studies. This systematic review and meta-analysis examined the pooled prevalence of poor sleep quality among patients with cancer.

METHODS

Systematic literature searches were independently conducted in the major databases (Web of Science, PubMed, EMBASE and PsycINFO). Studies that reported the prevalence of poor sleep quality in patients with cancer were analyzed using a random effects model. Funnel plots and Egger's tests were used to assess publication bias. Statistical analyses were performed using R software.

RESULTS

A total of 59 epidemiological studies involving 16,223 patients were included. The pooled prevalence of poor sleep quality in patients with cancer was 57.4% [95% confidence interval (CI): 53.3% - 61.6%]. Additionally, three comparative studies with 372 patients and 412 healthy controls were included. Compared to healthy controls, patients with cancer had a significantly higher risk for poor sleep quality [odd ratio (OR) = 3.0; 95%CI: 1.2-7.2; P < 0.05]. Subgroup analyses of the studies revealed that studies from Middle East & North Africa region and low income countries, and on gynecological cancer as well as those with a lower cut-off value of sleep quality (all P < 0.01) reported a higher prevalence of poor sleep quality. Meta-regression analyses showed that higher prevalence of poor sleep quality was associated with higher prevalence of comorbid depression (P < 0.05) and anxiety (P < 0.01), but was associated with a lower education level (P < 0.05) and alcohol use ratio (P < 0.05).

CONCLUSION

Poor sleep quality is common among patients with cancer. Considering the overall high prevalence rate and negative impact of poor sleep quality, appropriate measures to identify and improve poor sleep quality are needed to enhance the clinical outcomes in this group.

Sleep quality and psychological disorders in breast cancer female patients receiving radiotherapy at a tertiary oncology center in West Saudi Arabia

PURPOSE

Breast cancer is the most prevalent type of cancer among women worldwide. Many recently diagnosed and treated breast cancer patients complain about sleep disorders, depression, anxiety, stress, and fatigue. This study aimed to evaluate sleep quality among breast cancer patients and to assess its association with psychological disorders, and socio-demographic and clinical characteristics of patients.

METHODS

This cross-sectional study was conducted among women who received radiotherapy for breast cancer (stage 1-3) at King Abdul-Aziz Medical City-Jeddah from January to August 2021. Each participant completed a personal information form, the Pittsburgh Sleep Quality Index (PSQI), the Depression, Anxiety, and Stress Scale-21 (DASS-21), and the International Physical Activity Questionnaire (IPAQ). Clinical data were collected from the medical records to evaluate certain risk factors. Descriptive statistics were used for participant characteristics, and analyses of variance were used to assess associations between the qualitative variables.

RESULTS

Fifty-six women with a mean age of 50.1 years and an average of 10 months after cancer diagnosis were included. Poor sleep quality was present in 58% of respondents. Symptomatic depression, anxiety, and stress were found in 34%, 32%, and 30% of women, respectively. Poor sleep quality was associated with depression (p = 0.031), anxiety (p = 0.03), and stress (p = 0.024) and was independently associated with hot flashes. In multivariate analysis, patients with depression or with cancer for more than 6 months were less likely to have good sleep after controlling other variables (21.74 and 14.71 times, respectively).

CONCLUSION

Poor sleep quality was present in 58% of women with breast cancer receiving radiotherapy and was significantly associated with depression, anxiety, stress, and hot flashes. Depression level and cancer duration were significant predictors of sleep quality. Early identification and proper management of psychological and sleep disorders are necessary to improve the quality of life and survival of breast cancer patients.

Global prevalence of sleep disturbances among breast cancer survivors: A systematic review with meta-analysis

Breast cancer is a common cancer in which patients are highly susceptible to different sleep disturbances. However, current evidence lacked consistency in methodologies in investigating the prevalence of sleep disturbances among breast cancer survivors. The review aims to (1) investigate the global prevalence of sleep disturbances among breast cancer survivors; and (2) investigate the factors influencing the prevalence estimates. A comprehensive search was conducted in 8 databases using a 3-step approach, up to January 2022. The Newcastle-Ottawa Scale and Cochrane risk of bias tool were used to evaluate the quality of individual studies. Meta-analysis, meta-regression, and subgroup analysis were performed using R software. Certainty of evidence was assessed using Grading of Recommendations, Assessment, Development, and Evaluations criteria. A total of 51 studies were selected involving 28,036 breast cancer survivors across 17 countries. The global prevalence of poor sleep quality was 62%, different severities of insomnia were 3%-32%, and excessive daytime sleepiness was 24%. Subgroup analyses showed that a significantly higher prevalence of poor sleep quality was found in breast cancer survivors during treatment compared with pre- or post-treatment. No significant covariates were found in a series of meta-regression analyses. The majority (73.5%) of individual studies were high quality but the certainty of the evidence was low or very low according to Grading of Recommendations, Assessment, Development, and Evaluations criteria. More than half of breast cancer survivors have sleep disturbances, so developing a strategic intervention is warranted. Given the low or very low certainty of the evidence, a robust design for large-scale research is crucial in the future.

Psychoneurological symptom cluster trajectories in individuals treated for early-stage breast cancer

BACKGROUND/PURPOSE

The psychoneurological (PN) symptom cluster has been defined in the literature as anxiety, depression, fatigue, sleep disturbance, and pain. PN symptoms are influenced by cancer and its treatment as well as biological and psychosocial factors. The purpose of this analysis was to describe temporal patterns of the PN symptom cluster severity in breast cancer survivors over the year following initial surgical intervention and investigate the time-dependent effect of treatment modality on symptom severity.

METHODS

In a prospective longitudinal study, symptom data were collected from individuals with early-stage breast cancer 48 h after initial surgery and at monthly intervals for the subsequent 12 months using the PROMIS®-29 subscales for anxiety, depression, fatigue, sleep disturbance, and pain. Applying group-based trajectory modeling, we classified participants into subgroups with similar temporal patterns of PN symptom cluster severity and included treatment modality as a time-dependent covariate.

RESULTS

Across 353 participants (mean age 60.10 ± 11.9 years, 88.95% white, 66.57% undergoing segmental mastectomies), four distinct trajectory subgroups (mild [47.6%; n = 168], moderate [28.3%; n = 100], severe [15.9%; n = 56], and most severe increasing [8.2%; n = 29]) were revealed for PN symptom cluster severity. Chemotherapy was associated with greater severity in all symptom severity subgroups, while radiation was associated with greater symptom severity in the mild and most severe increasing subgroups.

CONCLUSIONS AND IMPLICATIONS

A subgroup of individuals with early-stage breast cancer experienced persistent severe PN symptoms. Future research should focus on psychosocial, biological, and disease-related characteristics of individuals in the most severe symptom group to inform preventative treatments and effective interventions.

The Cancer Genomic Integration Model for Symptom Science (CGIMSS): A Biopsychosocial Framework

Current nursing research has characterized symptom clusters and trajectories in individuals with breast cancer. The existing literature describes the relationship between symptoms and biological variables and the potential moderating effects of individual and social factors. The genomic profiling of breast cancer has also been an area of much recent research. Emerging evidence indicates that incorporating cancer genomics into symptom science research can aid in the prognostication of symptoms and elucidate targets for symptom management interventions. The aim of this paper is to outline a model to integrate cancer genomics into symptom science research, illustrated using breast cancer and psychoneurological (PN) symptoms as an example. We present a review of the current literature surrounding breast cancer genomics (specifically cancer genomic instability) and the biological underpinnings of the PN symptom cluster. Advances in both of these areas indicate that inflammation may serve as the bridge between cancer genomics and the PN symptom cluster. We also outline how the integration of cancer genomics into symptom science research synergizes with current research of individual and social factors in relation to symptoms. This model aims to provide a framework to guide future biopsychosocial symptom science research that can elucidate new predictive methods and new targets for intervention.

Participatory action research intervention for improving sleep in inpatients with cancer

AIM

To design and implement a plan to improve oncohaematological patients' sleep.

BACKGROUND

The hospital environment can compromise inpatients' sleep, negatively impacting on health outcomes and patient satisfaction.

DESIGN AND METHOD

The improvement plan was designed in collaboration with 18 professionals, 3 patients and 3 accompanying relatives. The study designed followed the SQUIRE 2.0 guidelines. Outcome variables were self-reported patient satisfaction regarding sleep, measured using a 30-item, ad hoc questionnaire and a 10-point visual analogue scale, completed by 318 oncohaematological inpatients (pre-intervention n = 120, post-intervention, n = 198) in a comprehensive cancer centre in Spain from 2017 to 2019.

RESULTS

Overall, 61.5% (n = 190) of the inpatients reported sleep alterations, and 92.6% reported interruptions in their nightly sleep. Half slept less than 6 h/night, but 58.0% said they felt rested upon waking, despite the interruptions. These outcomes were similar before and after the intervention. The improvement plan identified four domains for work (professionals, care procedures, instruments/environment and patients/relatives), 10 areas for improvement and 35 actions for implementation. However, overall sleep worsened significantly, from 6.73 to 6.06 on the 10-point scale. The intervention significantly improved variables related to professionals' behaviour, including noise during the shift change, conversations at the control desk and the use of corridor lights. Sleep disturbances were mainly caused by pain/discomfort and infuser alarms, and collectively they decreased significantly after the intervention (p = .008). However, overall sleep worsened significantly, from 6.73 to 6.06 on the 10-point scale.

CONCLUSIONS

Pain, clinical devices and noise made by professionals are the main causes of sleep disturbances. Involving professionals in decision-making to improve patients' sleep have a positive impact on noise levels.

RELEVANCE TO CLINICAL PRACTICE

This study proposes new strategies for improving sleep by increasing staff awareness and changing attitudes towards patients' sleep. Nurses should be involved in addressing sleep disturbances during hospitalization.

Prevalence of Sleep Disturbance in Patients With Cancer: A Systematic Review and Meta-Analysis

Sleep disturbance is one of the most common and troubling symptoms that harm the quality of life throughout all phases of treatment and stages of the illness among patients with cancer. The aim of this meta-analysis is to examine the present status of sleep disturbance prevalence in patients with cancer. The following databases were searched: PubMed, CINAHL, MEDLINE, EMBASE, PsycINFO, from inception to April 2021. Prevalence rates were pooled with meta-analysis using a random-effects model. A total of 160 studies (N = 46,279) published between 1998 and 2021 met the inclusion criteria. The overall prevalence of sleep disturbance was 60.7% (26,448/46,279 participants, 95% CI 58.1–63.3%) with significant heterogeneity between studies (p < .000, τ² = .0000, I² = 96.4%). This meta-analysis highlights the importance of developing optimal monitoring strategies to reduce sleep disturbance and improve the quality of life of cancer patients.

Sleep Quality and Cancer-Related Fatigue in Patients with Cancer

Introduction: Sleep problems and fatigue are common symptoms reported by cancer patients. In this study, the researchers used a specialized tool to measure fatigue in cancer patients and its relationship with sleep quality in Yazd, Iran.

Methods: This descriptive correlational study included 149 cancer patients (age range: over 18 years) referred to Shahid Sadoughi Hospital in Yazd, Iran. Data were collected by the Pittsburgh Sleep Quality Index (PSQI) and Cancer-Related Fatigue Questionnaire. A PSQI score of ≥5 indicated a poor sleep. Data were analyzed using SPSS Statistics for Windows, version 13.0 (SPSS Inc., Chicago, IL, USA), Pearson’s correlation, t test, analysis of variance (ANOVA), and linear regression.

Results: The mean (SD) PSQI score of patients was 13 (4.85) out of 21. About 69.3% of patients had a poor sleep quality. While the mean (SD) of sleep duration was 5.57 (0.54) hours, it was 69.44 (46.58) minutes for sleep latency. Also, with increasing the mean of sleep quality, the mean of fatigue significantly increased (P < 0.001, R=0.63).

Conclusion: According to the results, there was a relationship between the sleep quality and fatigue in cancer patients, so that patients with better sleep quality had less fatigue.

Factors associated with sleep disturbances in women undergoing treatment for early-stage breast cancer

PURPOSE

The purpose of this study was to examine factors associated with sleep disturbance in women receiving adjuvant therapy for breast cancer.

METHODS

This study employed a cross-sectional design using data collected at 3 months post-surgery from an ongoing longitudinal parent study. Participant data were divided into adjuvant treatment groups (chemotherapy, radiation, and aromatase inhibitors) and no adjuvant treatment groups. Symptoms were measured using patient self-report measures. Analysis of variance was used to assess between adjuvant treatment group differences in sleep disturbance. Regression analysis was performed to assess the relationship between sleep disturbance and other symptoms within adjuvant treatment groups.

RESULTS

The sample included 156 women diagnosed with early-stage breast cancer. There were significant differences in levels of reported sleep disturbance between treatment groups (p = 0.049), with significantly higher levels of sleep disturbances in those receiving radiation compared to those receiving no adjuvant treatment (p = 0.038) and in those receiving chemotherapy and those receiving no adjuvant treatment (p = 0.027). Increased sleep disturbance was found to be a significant predictor for increased pain severity, nausea severity, anxiety, depressive symptoms, fatigue, decreased physical function, and decreased ability to participate in social roles and activities. Co-occurring symptoms with sleep disturbance differed between adjuvant treatment groups. Sleep disturbance was also associated with younger age (p = 0.008).

CONCLUSIONS

Patients undergoing chemotherapy or radiation for breast cancer report higher levels of sleep disturbance than those not receiving adjuvant therapy. Sleep disturbance is associated with other symptoms experienced by patients with cancer and thus requires continual assessment and future research into effective interventions.

Evaluation of Subjective Sleep Disturbances in Cancer Patients: A Cross-Sectional Study in a Radiotherapy Department

Background: The factors associated with sleep disturbances in cancer patients remains unclear. This study aimed to explore the prevalence of sleep disorders and predictors associated with sleep disturbance in cancer patients from a radiotherapy department. Methods: Patients with cancers were recruited before the start of radiotherapy from our institution between January 2019 and February 2020. Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. Descriptive statistics, Chi-square test, and multivariate logistic regression analysis were used to conduct statistical analysis. Results: A total of 330 eligible patients were included. Of them, 38.3% (n = 127) had the globe PSQI score >7, indicating that they suffered from sleep disorders. Patients with lung cancer (45.2%) were more likely to suffer from sleep disturbance, followed by cervical cancer (43.8%), nasopharyngeal carcinoma (41.7%), esophageal cancer (41.5%), breast cancer (37.7%), and colorectal cancer (30%). With regard to the PSQI components, the mean sleep duration was 8 h, 20.3% (n = 67) of them reported poor subjective sleep quality, 6.1% (n = 20) needed medication to improve sleep, and 53.6% (n = 177) suffered daytime dysfunction. Multivariate logistic regression models showed body mass index (BMI) ≥ 20 kg/m² [odds ratio (OR) 0.599, 95% confidence interval (CI) 0.329-0.948, P = 0.031] and the receipt of surgery (OR 0.507, 95% CI 0.258-0.996, P = 0.048) were the significant favorable predictors for sleep disturbance, while age, gender, marital status, education level, comorbidity, metastasis status, diagnostic status, and cancer type were not significantly associated with sleep disturbance. Conclusions: Approximately 40% of the cancer patients suffer from sleep disturbance before the start of radiotherapy. Patients with BMI ≥ 20 kg/m² and receiving surgery are less likely to develop sleep disturbance in comparison with others.

Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer

INTRODUCTION

Women diagnosed with breast cancer (BC) are at increased risk of sleep deficiency. Approximately 30-60% of these women report poor sleep during and following surgery, chemotherapy, radiation therapy, and anti-estrogen therapy. The purpose of this study was to examine the relationship between genetic variation in circadian rhythm genes and self-reported sleep quality in women with BC.

METHODS

This cross-sectional study recruited women with a first diagnosis of breast cancer at five sites in Nebraska and South Dakota. Sixty women were included in the study. Twenty-six circadian genes were selected for exome sequencing using the Nextera Rapid Capture Expanded Exome kit. 414 variants had a minor allele frequency of ≥5% and were included in the exploratory analysis. The association between Pittsburgh Sleep Quality Index (PSQI) score and genetic variants was determined by two-sample t-test or ANOVA.

RESULTS

Twenty-five variants were associated with the PSQI score at p < 0.10, of which 19 were significant at p<0.05, although the associations did not reach statistical significance after adjustment for multiple comparisons. Variants associated with PSQI were from genes CSNK1D & E, SKP1, BHLHE40 & 41, NPAS2, ARNTL, MYRIP, KLHL30, TIMELESS, FBXL3, CUL1, PER1&2, RORB. Two genetic variants were synonymous or missense variants in the BHLHE40 and TIMELESS genes, respectively.

CONCLUSIONS

These exploratory results demonstrate an association of genetic variants in circadian rhythm pathways with self-reported sleep in women with BC. Testing this association is warranted in a larger replication population.