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

Educating Nurses in Sleep Screening, Brief Intervention, and Referral for Treatment

BACKGROUND

Poor sleep is an unrecognized problem among cancer survivors that affects quality of life. However, screening for sleep disorders is not routine in cancer care. To fill this gap, a self-paced online training program was designed for RNs to screen patients for sleep disturbance and provide brief intervention or referral for treatment (Sleep-SBIRT).

METHOD

A three-phase evaluation pilot study included the following steps: (a) develop an online training program with in situ simulation; (b) implement the program with RNs at a comprehensive cancer center; and (c) evaluate module and quiz completion rates and focus group thematic analysis.

RESULTS

Of the 22 RNs participating, 17 completed online modules and in situ simulation. The RNs were satisfied (M = 4.74/5, SD = 0.42) and self-confident (M = 4.45/5, SD = 0.45) with the learning. Focus group themes were learning new knowledge, learning online effectively, applying learning to in situ simulation, and intending to implement.

CONCLUSION

The RNs gained knowledge applying Sleep-SBIRT, but future larger studies are warranted. [J Contin Educ Nurs. 202x;5x(x):xx-xx.].

Dyadic Investigation of Posttraumatic Stress Symptoms and Daily Sleep Health in Patients With Cancer and Their Caregivers

OBJECTIVE

Cancer can be a traumatic experience affecting multidimensional aspects of sleep among patients and caregivers. This study examined the differential associations of cancer-related posttraumatic stress symptoms (PTSS) with various sleep markers in this population.

METHODS

Patients newly diagnosed with colorectal cancer ( n = 138, mean age = 56.93 years, 31.88% female, 60.14% Hispanic, 6.53 months after diagnosis) and their sleep-partner caregivers ( n = 138, mean age = 55.32 years, 68.12% female, 57.97% Hispanic) completed questionnaires assessing the four PTSS clusters (intrusion, avoidance, alterations in arousal and reactivity, negative alterations in cognitions and mood). Participants also completed daily sleep diaries for 14 consecutive days, from which sleep onset latency (SOL), wake after sleep onset (WASO), and sleep duration were derived.

RESULTS

Actor-partner interdependence model revealed that caregivers' greater alterations in arousal and reactivity were associated with their own longer SOL ( b = 15.59, p < .001) and their patients' longer sleep duration ( b = 0.61, p = .014), whereas patients' arousal and reactivity were associated with their caregivers' shorter SOL ( b = -8.47, p = .050). Patients' and caregivers' greater negative alterations in cognitions and mood were associated with patients' longer SOL ( b = 9.15, p = .014) and shorter sleep duration ( b = -0.41, p = .050), respectively. Caregivers' greater intrusion was related to their own shorter SOL ( b = -10.14, p = .004).

CONCLUSIONS

The four PTSS clusters, particularly arousal and reactivity and negative cognitions and mood, have distinct associations with sleep markers individually and dyadically in patients and caregivers affected by cancer. Investigations of psychosocial and biobehavioral pathways underlying these relations are warranted. Tailored trauma treatments and sleep interventions may improve the well-being of this population.

Factors associated with insomnia and fatigue symptoms during the outbreak of Oct.7th war on Gaza: A study from Jordan

Objective

The Jordanian and the Palestinian communities are tightly related, hence, the current war on Gaza also has social and psychological impacts on Jordanians. Therefore, this study aims to identify the factors associated with severe insomnia and fatigue symptoms in a cohort of Jordanians during the Gaza War outbreak.

Methods

This is a cross-sectional web-based questionnaire study. The Insomnia Severity Index-Arabic version (ISI-A), and the Brief Fatigue Inventory-Arabic (BFI-A) were employed, binary logistic and linear regression analyses was performed to identify predictors to severe insomnia and fatigue respectively. Data were collected between December 2023 and January 2024.

Results

Data were analyzed from 477 participants, of which 315 (66 %) were females, 107 (22.4 %) reported having a family relative or a friend residing in Gaza, 365 (76.5 %) reported not using any sleep aid, 78 (16.4 %) reported using homeopathy herbal remedies for sleep, and only 52 (10.9 %) reported using over-the-counter sedating antihistamines. Severe insomnia was significantly associated with participants "younger than 30 years old" (OR = 1.81, 95 %CI = 1.22-2.66, p = 0.003), participants "using over-the-counter sedating antihistamines" (OR = 2.78, 95 % CI = 1.27-6.06, p = 0.01). Severe fatigue was significantly associated with "females" (B = 5.87, t = 2.78, p = 0.006), and "smokers" (B = 5.09, t = 2.52, p = 0.01). On the other hand, "not using sleep aids" demonstrated significantly lower odds for severe insomnia (OR = 0.41, 95 % CI = 0.24-0.68, p = 0.001), and fatigue (B = -10.84, t = -4.81, p < 0.001).

Conclusions

Addressing modifiable risk factors such as smoking and sleep self-medications is essential to improve insomnia and fatigue symptoms.

Mi Sleep Coach Mobile App to Address Insomnia Symptoms Among Cancer Survivors: Single-Arm Feasibility Study

BACKGROUND

Rates of sleep disturbance among survivors of cancer are more than 3 times higher than the general population. Causes of sleep disturbance among survivors are many and multifaceted, including anxiety and fear related to cancer diagnosis and treatments. Cognitive behavioral therapy for insomnia (CBT-I) is considered a first-line treatment for insomnia; However, a lack of access to trained professionals and limited insurance coverage for CBT-I services has limited patient access to these effective treatments. Evidence supports digital delivery of CBT-I (dCBT-I), but there is only limited evidence to support its use among survivors of cancer. Broad adoption of smartphone technology provides a new channel to deliver dCBT-I, but no prior studies have evaluated mobile dCBT-I interventions for survivors. To address the need for accessible and efficacious CBT-I for survivors of cancer, the Mi Sleep Coach program was developed to adapt CBT-I for delivery to survivors of cancer as a self-directed mobile health app.

OBJECTIVE

This single-arm feasibility study assessed the adherence, attrition, usefulness, and satisfaction of the Mi Sleep Coach app for insomnia.

METHODS

A 7-week, single-arm study was conducted, enrolling adult survivors of breast, prostate, or colon cancer reporting sleep disturbances.

RESULTS

In total, 30 participants were enrolled, with 100% completing the study and providing data through week 7. Further, 9 out of 10 app features were found to be useful by 80% (n=24) to 93% (n=28) of the 30 participants. Furthermore, 27 (90%) participants were satisfied with the Mi Sleep Coach app and 28 (93%) would recommend the use of the Mi Sleep Coach app for those with insomnia. The Insomnia Severity Index showed a decrease from baseline (18.5, SD 4.6) to week 7 (10.4, SD 4.2) of 8.1 (P<.001; Cohen d=1.5). At baseline, 25 (83%) participants scored in the moderate (n=19; 15-21) or severe (n=6; 22-28) insomnia range. At week 7, a total of 4 (13%) patients scored in the moderate (n=4) or severe (n=0) range. The number of patients taking prescription sleep medications decreased from 7 (23%) at baseline to 1 (3%; P<.001) at week 7. The number of patients taking over-the-counter sleep medications decreased from 14 (47%) at baseline to 9 (30%; P=.03) at week 7.

CONCLUSIONS

The Mi Sleep Coach app demonstrated high levels of program adherence and user satisfaction and had large effects on the severity of insomnia among survivors of cancer. The Mi Sleep Coach app is a promising intervention for cancer-related insomnia, and further clinical trials are warranted. If proven to significantly decrease insomnia in survivors of cancer in future randomized controlled clinical trials, this intervention would provide more survivors of cancer with easy access to evidence-based CBT-I treatment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04827459; https://clinicaltrials.gov/study/NCT04827459.

A cross-sectional study of sleep disturbance among middle-aged cancer patients at Vietnam National Cancer Hospital

AIM

Sleep disorders are common in cancer patients and have negative consequences for patient well-being and treatment outcomes. This study aimed to investigate sleep quality and related factors in Vietnamese middle-aged cancer patients.

METHODS

A cross-sectional study was conducted on 246 middle-aged in-patient cancer patients at Vietnam National Cancer Hospital (VNCH) from 1/2021 to 7/2021. Sleep was measured by the Pittsburgh Sleep Quality Index (PSQI), with a cutoff of 5.

RESULTS

The results showed a male/female ratio of 0.85 with an average age of 52. The five most prevalent cancer types were breast, colorectal, lung, and esophagus-stomach cancer, primarily in the late stage and treated with chemotherapy. The prevalence of sleep disturbances was 58.5%. The mean PSQI score was 7.5, with sleep duration and latency of 5.4 h and 1 h, respectively. Approximately 44% of participants reported poor sleep quality, nearly 9% had daytime dysfunction, and 10.6% used sleep medication. The multivariate logistic regression results indicate that people with depression were 8.89 times more likely to have poor sleep than those without depression (95% CI:2.63-28.27, p < .001).

CONCLUSION

Sleep problems are common among middle-aged people with cancer in Vietnam, especially individuals with depression. It is necessary to have more effective approaches to sleep management for cancer patients with limited resources.

Sleep health and quality of life in the Detroit Research on Cancer Survivors cohort

PURPOSE

Sleep disturbances represent a modifiable target to improve quality of life and longer-term outcomes in cancer survivors. However, the association between sleep health and overall quality of life in African American cancer survivors has been poorly assessed, a population at increased risk for morbidity and mortality.

METHODS

Seven hundred and eighteen Detroit Research on Cancer Survivors (ROCS) cohort participants completed a supplemental sleep survey at the time of enrollment, which included the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI). Linear and logistic regression was used to evaluate the association between sleep and mental health, while block regression models were used to estimate the contribution of clustered factors to Health-Related Quality of Life (HRQOL).

RESULTS

Nearly 60% of the cohort reported symptoms indicative of poor sleep quality on the PSQI, 15% reported excessive daytime sleepiness on the ESS, and 12% reported moderate to severe insomnia on the ISI. Survivors with elevated ISI scores reported FACT-G scores that were 17 points lower than those without symptoms of insomnia (95% CI: - 13.1, - 21.2). Poor sleep health accounted for the largest proportion of variability in FACT-G scores (R2 = 0.27) and change in R2 value (0.18) when compared to comorbidities, health behaviors, cancer-related factors, and demographics.

CONCLUSIONS

Overall sleep health was significantly associated with poorer HRQOL and variability in FACT-G scores. Additional studies investigating a causal relationship between sleep and HRQOL are needed to determine whether sleep quality could affect disparities in cancer outcomes.

IMPLICATIONS FOR CANCER SURVIVORS

Addressing sleep quality in cancer survivors may improve long-term health and HRQOL.

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.

Self-Completion Questionnaire on Sleep Evaluation in Patients Undergoing Oxaliplatin Therapy: An Observational Study

Sleep is a fundamental human need; sleep disruption, in fact, causes an increase in the activity of the sympathetic nervous system and the hypothalamic-pituitary-adrenal axis, metabolic effects, changes in circadian rhythms, and pro-inflammatory responses. The scientific literature is finally starting to pay attention to the central role of sleep alterations in patients health. Oxaliplatin is extensively used for the treatment of gastrointestinal cancer and other malignancies, with an increased frequency of use in recent years. This study aims to understand the effects of sleep complaints on health and quality of life in cancer patients treated with oxaliplatin. A study has been conducted through the creation and distribution of questionnaires to patients to investigate their complaints about sleep quality. We observed significant differences between males and females in evaluating sleep hygiene scores, the Pittsburgh Sleep Quality Index, and previous difficulty sleeping. Moreover, in females, stress, worries, and anxiety seem to play a negative role in the sleep hygiene score. The obtained results could improve the interest of healthcare personnel and caregivers in sleep quality in patients undergoing chemotherapy.

Effect of a Single Light-intensity Walking Session on Sleep Quality of Patients with Bladder Cancer: A Randomized Cross-Over Study

OBJECTIVES

Exercise has been recommended to enhance sleep. However, there is a paucity of studies investigating the relationships between exercise and sleep problems in patients with bladder cancer. The authors explored the effects of a single bout of light-intensity walking on the sleep quality of patients with bladder cancer who have sleep disorders.

DATA SOURCES

A total of 14 patients with bladder cancer with sleep disorders were recruited for this trial. The participants were randomly assigned to the walking or control condition in a cross-over design to explore the effects of a single light-intensity walking session on objectively measured sleep quality. A two-way repeated measures analysis of variance and a nonparametric permutation test were used to examine intervention effects. Twelve participants (85.7%) completed the trial. A significant group × time interaction for sleep latency (P = .023) was identified. The pairwise comparison showed significant results (P = .012) for the difference between the post-test sleep latency and the pre-test. No significant group × time interactions were observed for the remaining seven sleep parameters. Additionally, only the main effects of time on length of awakening and time in bed were significant (P < .001).

CONCLUSION

A single bout of light-intensity walking has a positive effect on shortening the sleep latency of patients with bladder cancer who have sleep disorders.

IMPLICATIONS FOR NURSING PRACTICE

Oncology nurses can encourage patients with bladder cancer to exercise, even light-intensity walking, which may improve sleep quality.

Common and distinct risk factors that influence more severe and distressing shortness of breath profiles in oncology outpatients

BACKGROUND

Shortness of breath occurs in 10%-70% of oncology patients. Very little is known about interindividual variability in its severity and distress and associated risk factors. Using latent profile analyses (LPAs), purpose was to identify subgroups of patients with distinct severity and distress profiles for shortness of breath as single symptom dimensions. In addition, a joint LPA was done using patients' severity AND distress ratings. For each of the three LPAs, differences among the shortness of breath classes in demographic, clinical, symptom, stress, and resilience characteristics were evaluated.

METHODS

Patients completed ratings of severity and distress from shortness of breath a total of six times over two cycles of chemotherapy. All of the other measures were completed at enrollment (i.e., prior to the second or third cycle of chemotherapy). Separate LPAs were done using ratings of severity and distress, as well as a joint analysis using severity AND distress ratings. Differences among the latent classes were evaluated using parametric and nonparametric tests.

RESULTS

For severity, two classes were identified (Slight to Moderate [91.6%] and Moderate to Severe [8.4%]). For distress, two classes were identified (A Little Bit to Somewhat [83.9%] and Somewhat to Quite a Bit [16.1%]). For the joint LPA, two classes were identified (Lower Severity and Distress [79.9%] and Higher Severity and Distress [20.1%]). While distinct risk factors were associated with each of the LPAs, across the three LPAs, the common risk factors associated with membership in the worse class included: a past or current history of smoking, poorer functional status, and higher comorbidity burden. In addition, these patients had a higher symptom burden and higher levels of cancer-specific stress.

CONCLUSIONS

Clinicians can use the information provided in this study to identify high-risk patients and develop individualized interventions.

Quality-of-life among women with breast cancer: application of the international classification of functioning, disability and health model

Background

This study aimed to identify the factors that influence Breast Cancer (BC) women's quality of life (QoL) based on the International Classification of Functioning, Disability and Health (ICF) framework.

Method

A cross-sectional study was conducted among 188 women with BC. The dependent variable, QoL, was measured using the Quality of Life Index (QLI-c). The independent variables were measured using the following Arabic-validated questionnaires: Pittsburgh Sleep Quality Index (PSQI), Female Sexual Function Index (FSFI), Modified Fatigue Impact Scale (MFIS), Hospital Anxiety and Depression Scale (HADS), and the International Physical Activity Questionnaire (IPAQ).

Results

There was a significant positive correlation between monthly income (r = 0.17, p = 0.016) and QoL, and significant negative correlation between the stage of disease (r = -0.221, p = 0.002) and duration of first diagnosis (r = -0.280, p = 0.004) with QoL. Poor sleep quality, sexual dysfunction, fatigue, depression, and anxiety had significant negative correlations with QoL (p < 0.01). Multiple regression analysis revealed that among the various factors that might affect QoL, sexual dysfunction, poor sleep quality, depression, and anxiety were significant predictors of QoL (p ≤ 0.05).

Conclusion

The ICF provided an excellent framework to explore the factors influencing QoL among women with BC. This study has given evidence for the relationship of demographic, clinical, and body functional factors with QoL among women with BC. Interestingly, sexual dysfunction, poor sleep quality, depression, and anxiety factors are predictors of QoL. Awareness of these factors that predict QoL will guide healthcare professionals to improve the health and QoL of BC women.

Comparing the sensitivity of fatigue and sleep disturbance assessment tools in women with advanced cancer undergoing chemotherapy

Objective

This study aims to investigate the variations in fatigue and sleep disturbances among female patients with advanced lung cancer (ALC) and advanced breast cancer (ABC) during chemotherapy.

Methods

A total of 36 female patients with ALC and 36 with ABC, all of whom had completed their first cycle of chemotherapy, were included. Fatigue was assessed using the General Fatigue Scale (GFS), and sleep disturbances were evaluated using the Pittsburgh Sleep Quality Index (PSQI) at designated time points throughout the chemotherapy process.

Results

Linear regression analysis indicated that variables such as age, education level, employment status, cancer type, clinical stage, and symptom distress had no significant correlation with either fatigue or sleep disturbances. The GFS significantly discriminated fatigue among the ALC, ABC, and combined groups, while the PSQI demonstrated a significant distinction in sleep disturbance only within the ALC and combined groups.

Conclusions

In summary, when considering the findings of both assessments in this study, the GFS score exhibited greater sensitivity in detecting fatigue than the PSQI score did for identifying sleep disturbances in advanced cancer patients undergoing chemotherapy.

Integrative Oncology Approaches to Reduce Recurrence of Disease and Improve Survival

PURPOSE OF REVIEW

After a cancer diagnosis, patients ask what they can do in addition to the recommended treatments to increase their survival. Many turn to integrative medicine modalities and lifestyle changes to improve their chances of survival. Numerous studies have demonstrated that lifestyle changes can significantly improve survival rates for cancer patients. Less support exists for the use of natural products or supplements to improve cancer survival. In this manuscript, we review key findings and evidence in the areas of healthy eating habits, physical activity, stress management and social support, and sleep quality, as well as natural products and supplements as they relate to the cancer recurrence and survival.

RECENT FINDINGS

While more research is needed to fully understand the mechanisms underlying the associations between lifestyle changes and cancer survival, findings suggest that lifestyle modifications in the areas of diet, physical activity, stress management and social support, and sleep quality improve clinical cancer outcomes. This is especially true for programs that modify more than one lifestyle habit. To date, outside of supplementing with vitamin D to maintain adequate levels, conflicting conclusion within the research remain regarding the efficacy of using natural products or supplement to improve cancer recurrence of disease or cancer survival. A call for further research is warranted. Lifestyle screening and counseling should be incorporated into cancer treatment plans to help improve patient outcomes. While the scientific community strives for the pursuit of high-quality research on natural products to enhance cancer survival, transparency, dialogue, and psychological safety between patients and clinicians must continue to be emphasized. Proactive inquiry by clinicians regarding patients' supplement use will allow for an informed discussion of the benefits and risks of natural products and supplements, as well as a re-emphasis of the evidence supporting diet and other lifestyle habits to increase survival.

Feasibility and Usability of EnergyPoints: A Mobile Health App to Guide Acupressure Use for Cancer Symptom Management

OBJECTIVE

To examine the feasibility and usability of EnergyPoints™, an innovative mobile health app that teaches and guides people with cancer to implement daily acupressure to self-manage their fatigue and sleep disturbances.

METHODS AND INTERVENTION

The study used an integrated agile, human-centered approach. Adults (age 18 years and over) with cancer experiencing at least moderate fatigue, and living in the Greater New York City community, were recruited from social media, patient advocacy groups, and referrals. Twenty participants (in 3 sprints of 3, 5, and 12) were video-recorded thinking aloud while using the app for the first time. They then used the app at home to self-administer acupressure (twice daily for 1 week) while continuously wearing a fitness tracker. Each participant completed an exit interview and modified Computer System Usability Questionnaire post-participation.

RESULTS

Participants were ages 40 to 76 years and 65% female; 65% were non-Hispanic white. Mean pass rates per ritual exceeded 80%. Users completed (totally or partially) greater than 90% of stimulating acupressure and 70% of relaxing acupressure rituals. Sprint 3 SPs totally completed at least 1 ritual 87% of the time. The majority agreed or strongly agreed the app was easy to use (90%), easy to learn (85%), easy to understand (75%), and effective in helping perform self-acupressure (85%). In an analysis of ease of completing 5 key tasks, all successfully completed the tasks; 3 users required some assistance. Of 654 usability statements, those coded as personal experience/context (197), content related to acupressure learning (105), and content related to the onboarding/profile (71) were most frequent. The design team integrated recommendations into the app before the next sprint.

CONCLUSIONS

Findings supported feasibility and usability, as well as acceptability, and led to significant alterations and improvements. EnergyPoints™ offers an opportunity to mainstream acupressure and help cancer survivors self-manage their symptoms.

Sleep dysfunction associated with worse chemotherapy-induced peripheral neurotoxicity functional outcomes

PURPOSE

Sleep problems are commonly reported by cancer survivors; however, knowledge of the impact of chemotherapy-induced peripheral neurotoxicity (CIPN) on sleep quality remains limited. In this study, we explored the impact of CIPN on sleep quality, as well as identified clinical characteristics associated with poor sleep quality.

METHODS

Participants were assessed cross-sectionally post-neurotoxic chemotherapy. CIPN severity was graded using a range of questionnaires that assessed CIPN severity and quality of life, as well as neurological grading scales. Sleep quality was assessed using a self-rated questionnaire (Pittsburgh Sleep Quality Index, PSQI). Participants with poor sleep quality were further grouped according to whether sleep impairment was due to CIPN or other factors.

RESULTS

Among 77 participants who reported CIPN, 75% (n = 58) reported poor sleep quality. Of those, 41% (n = 24) reported CIPN as contributing to sleep impairment, while 59% (n = 34) reported other causes. Participants with CIPN-induced sleep impairments had higher CIPN severity across all outcome measures, as well as greater neuropathic pain (all p < 0.05). Furthermore, participants with CIPN-induced sleep impairments reported worse impact of neuropathy on physical and social functioning, as well as emotional well-being (all p < 0.05).

CONCLUSIONS

Participants with CIPN-induced poor sleep quality reported worse scores across all CIPN severity measures. This emphasises the negative impacts of CIPN symptoms on quality of life of chemotherapy-treated patients and highlights the importance of sleep quality assessment in cancer survivors.

Sleep disturbances among cancer survivors

PURPOSE

We investigated sleep disturbances among cancer survivors compared to similarly aged women without cancer history.

METHODS

We identified 2067 women with a history of cancer other than breast or non-melanoma skin cancer at enrollment in the Sister Study, a US-wide cohort of women with a family history of breast cancer. Cancer survivors were matched with up to 5 cancer-free women (N = 9717) on age at enrollment. An index age (for covariate classification) was defined as the age at cancer diagnosis for survivors and the same age for their matched comparators. Sleep disturbances included duration, sleep medication usage, insomnia symptoms, long sleep-latency onset (≥30 min to fall asleep), frequent night awakenings (waking ≥3/night, ≥ 3 times/week), frequent napping (≥ 3 times/week), and a composite outcome of ≥ 1sleep disturbance. Multivariable linear regression (effect estimate, 95% confidence interval (CI)) and logistic regression (odds ratio, OR, 95% CI) were used for continuous and dichotomous outcomes, respectively.

RESULTS

At enrollment, cancer survivors were on average 13.8 years (range=0, 62) from diagnosis. After adjustment for age at enrollment and depression, diabetes, hypertension, and menopausal status prior to the index age, sleep disturbances were generally not more common among cancer survivors compared to those without cancer. However, among cancer survivors, those > 2 years from diagnosis were more likely to report ≥ 1 sleep disturbance (OR=1.44; 1.07, 1.93) compared to survivors 0-2 years from diagnosis.

CONCLUSION

Addressing sleep disturbances may improve well-being for cancer survivors.

Insomnia in adult patients with cancer: ESMO Clinical Practice Guideline

•Insomnia is common in patients with cancer, with a higher prevalence than observed in the general population. •Insomnia is often under-recognised and inadequately treated in patients with cancer. •Brief validated screening tools are available for the evaluation of insomnia in clinical practice. •First-line therapy should be based on international guidelines recommending cognitive behavioural therapy for insomnia.

Efficacy of traditional Chinese medicine external therapy on sleep quality in patients with cancer: A systematic review and network meta-analysis

Objective

This network meta-analysis aims to assess and compare the effectiveness of various external therapies from traditional Chinese medicine (TCM) in enhancing sleep quality among patients with cancer.

Methods

We systematically searched nine electronic databases, encompassing five English and four Chinese databases, for randomized controlled trials (RCTs) from their inception up to August 10, 2023. The random effects model was utilized for effect size analysis, and the standardized mean difference (SMD) along with its corresponding 95% confidence interval (CI) were computed. Network meta-analysis and comparative effects ranking were executed utilizing STATA 14.0.

Results

We included thirty-four RCTs involving seven distinct external TCM therapies. Among these, Chinese medicine pillow (SMD = -3.27; 95% CI: -6.03 to -0.51), auricular acupressure (SMD = -2.33; 95% CI: -3.36 to -1.29), moxibustion (SMD = -2.28; 95% CI: -3.63 to -0.94), acupressure (SMD = -1.67; 95% CI: -2.64 to -0.70), and acupuncture (SMD = -1.43; 95% CI: -2.65 to -0.21) demonstrated significant effects in improving sleep quality when compared to usual care or waitlist. The cumulative ranking curve values revealed that the Chinese medicine pillow exhibited the highest potential for effectively enhancing sleep quality in patients with cancer, followed by auricular acupressure, moxibustion, acupressure, acupuncture, Tuina, and electroacupuncture.

Conclusions

Our study highlights the Chinese medicine pillow as an optimal external TCM therapy for ameliorating sleep quality in cancer patients, but more RCTs are needed to validate this conclusion. These findings serve as valuable support for future clinical trials and research endeavors.

Systematic review registration

CRD42022381370.

Factors associated with insomnia symptoms over three years among premenopausal women with breast cancer

PURPOSE

We examined longitudinal trends and factors associated with insomnia over 3 years in a cohort of young breast cancer patients.

METHODS

Women with stage I-III breast cancer at ≤ 45 years were recruited at five institutions from New York, Texas, and North Carolina, within 8 months of diagnosis (n = 836). Participants completed questionnaires every 6 months for 3 years. Linear mixed-effects models were used to examine insomnia over time, using the Women's Health Initiative Insomnia Rating Scale (WHIIRS). We evaluated the relations of insomnia with demographic (age, race, education, income, employment, marital status), clinical (cancer stage, histologic grade, chemotherapy, radiation, hormone therapy, surgery, tumor size, body mass index, hot flashes), and social/behavioral variables (smoking status, social support, physical activity, depressive symptoms).

RESULTS

At baseline, 57% of participants met or exceeded the cut-off for clinical insomnia (WHIIRS score ≥ 9). Insomnia symptoms were most prevalent at baseline (p < 0.0001), but decreased significantly throughout follow-up (p < 0.001). However, 42% of participants still experienced insomnia symptoms 3 years after diagnosis. In multivariable models, older age (p = 0.02), hot flashes (p < 0.0001), and depressive symptoms (p < 0.0001) remained significantly associated with insomnia over time.

CONCLUSIONS

Insomnia symptoms were most frequent closer to breast cancer diagnosis and treatment, but persisted for some women who were older and those reporting higher hot flashes and depressive symptoms. Survivorship care should include assessing insomnia symptoms, particularly during and immediately after primary treatment. Implementing early interventions for sleep problems may benefit young breast cancer survivors and improve their quality of life.

A cross-sectional survey of the prevalence and patterns of using cannabis as a sleep aid in Canadian cancer survivors

PURPOSE

Poor sleep is one of the most common side effects of cancer. It can persist for years beyond treatment and negatively impact quality of life and health. Cannabis is increasingly used to manage cancer treatment-related symptoms, including sleep. This study investigated the use and perceived effects of cannabis as a sleep aid in Canadian cancer survivors.

METHODS

Adult Canadian cancer survivors (N = 1464) were recruited via the Angus Reid Institute and completed an online, cross-sectional survey including the Insomnia Severity Index and questions about cannabis use for sleep. Standard descriptive statistics, such as means, standard deviations, and ranges were produced for measured variables to assess the ways cancer survivors use cannabis for sleep. Frequencies were tabulated for categorical and ordinal variables.

RESULTS

On average, participants (Mage = 61.1 years; Women = 50%: Men = 48%) received their cancer diagnosis 12.5 years prior. Of participants, 23.5% (n = 344) currently use cannabis as a sleep aid, with reported benefits including relaxation, reduced time to fall asleep, fewer nocturnal awakenings and improved sleep quality. Two thirds (68.3%, n = 235) only began using cannabis for sleep after their cancer diagnosis. Over a third of participants (36.3%, n = 125) use cannabis as a sleep aid every day. Among the 344, the most common other reasons for using cannabis were pain (31.4%, n = 108), recreational use (24.4%, n = 84), and anxiety (12.5%, n = 43).

CONCLUSIONS

Given the prevalence and potential impact, research is needed to examine the actual efficacy of cannabis as a sleep aid.

IMPLICATIONS FOR CANCER SURVIVORS

It is important that cancer survivors have information on methods to help their sleep to avoid impairments to quality of life and health.

Circadian, hormonal, and sleep rhythms: effects on cancer progression implications for treatment

Circadian, hormonal, and sleep rhythm disruptions are commonly experienced concerns among cancer patients throughout the cancer care continuum. This review aims to summarize the existing literature on circadian, hormonal, and sleep rhythms in the oncological population, focusing on circadian disruption and physiological and psychological abnormalities, disease progression, and chronomodulated treatment approaches. The findings demonstrate that subjectively and objectively measured circadian rhythm disruption is associated with adverse mental health and disease outcomes in patients with cancer. Chronomodulated chemotherapy, light therapy, cognitive behavioral therapy for insomnia, and physical activity have shown evidence of effectiveness in improving sleep, and occasionally, disease outcomes.

Prevalence, Severity, and Predictors of Insomnia in Advanced Colorectal Cancer

CONTEXT

Insomnia is an under-recognized and undertreated symptom in palliative care and advanced cancer cohorts. Insomnia in an advanced colorectal cancer cohort is yet to be investigated despite colorectal cancer being the third commonest cancer worldwide and one with a high symptom burden.

OBJECTIVES

To examine the prevalence of insomnia and its associations in a large advanced colorectal cancer cohort.

METHODS

A consecutive cohort study of 18,302 patients with colorectal cancer seen by palliative care services across various settings (inpatient, outpatient, and ambulatory) was conducted from an Australia-wide database (2013-2019). The Symptom Assessment Score (SAS) was used to assess the severity of insomnia. Clinically significant insomnia was defined as SAS score ≥3/10, and used to compare associations with other symptoms and functional scores from validated questionnaires.

RESULTS

The prevalence of any insomnia was 50.5%, and clinically significant insomnia 35.6%, particularly affecting people who were younger (<45-years-old), more mobile (AKPS score ≥70), or physically capable (RUG-ADL score ≤5). Outpatients and patients living at home had higher prevalence of insomnia. Nausea, anorexia and psychological distress were the commonest concurrent symptoms in patients with clinically significant insomnia.

CONCLUSIONS

To our knowledge, this study was the first to investigate the prevalence and associations of insomnia in an advanced colorectal cancer cohort. Our findings demonstrate several groups at greater risk of suffering from insomnia (younger, greater physical capacity, living at home, and those with greater psychological distress). This may guide earlier recognition and management of insomnia to improve overall quality of life in this population.

Trajectories of sleep disturbance in cancer survivors during the first 2 years post-treatment

STUDY OBJECTIVES

To examine the trajectories of sleep disturbance in cancer survivors during the first 2 years post-treatment and to investigate whether psychological, cognitive, and physical factors differentiate trajectories.

METHODS

A total of 623 Chinese cancer survivors of diverse cancer types participated in a 2-year-long prospective study after the completion of cancer treatment. Sleep disturbance was measured using Pittsburgh Sleep Quality Index at 3 (T2), 6 (T3), 12 (T4), 18 (T5), and 24 (T6) months after baseline (within 6-months post-treatment; T1). Latent growth mixture modeling identified distinctive sleep disturbance trajectories and tested if these longitudinal patterns were predicted by baseline psychological distress, attentional control, attentional bias and physical symptom distress and T2 cancer-related distress. Fully adjusted multinomial logistic regression then identified whether these factors differentiated trajectories.

RESULTS

Two distinct sleep disturbance trajectories were identified, namely stable good sleepers (69.7%) and persistent high sleep disturbance (30.3%). Compared to those in the stable good sleep group, patients in the persistent high sleep disturbance group were less likely to report avoidant (OR=0.49, 95% CI = 0.26-0.90), while more likely to report intrusive thoughts (OR = 1.76, 95% CI = 1.06-2.92) and cancer-related hyperarousal (OR = 3.37, 95% CI = 1.78-6.38). Higher depression scores also predicted persistent high sleep disturbance group membership (OR = 1.13, 95% CI = 1.03-1.25). Attentional bias, attentional control, anxiety, and physical symptom distress did not predict sleep trajectory membership.

CONCLUSIONS

One in three cancer survivors experienced persistent high sleep disturbance. Screening and managing depressive symptoms and cancer-related distress in early cancer rehabilitation may reduce risk of persistent sleep disturbance among cancer survivors.

Meta-analysis of effects of yoga exercise intervention on sleep quality in breast cancer patients

Objective

This study seeks to systematically evaluate and test the effects of yoga exercise intervention programs on sleep quality in breast cancer patients in order to suggest more optimized exercise programs.

Method

Computer searches of the PubMed, Embase, Cochrane Library, Web of Science and CINAHL databases are conducted from the date of their inception to June 8^th, 2022 to collect randomized controlled trials on the effects of yoga exercise intervention on sleep quality in breast cancer patients. Two investigators independently carry out the inclusion and exclusion criteria literature screening, data extraction and methodological quality assessment of the included literature by applying the Cochrane risk of bias tool. Subgroup analysis is performed using RevMan 5.4.1 software, and the six moderating variables of intervention format, intervention type, weekly intervention frequency, total intervention duration, single intervention duration and intervention evaluation at different time points are set for the 782 subjects of the 12 included publications.

Results

Twelve randomized controlled trials with a total sample size of 782 subjects are included, including 393 subjects in the experimental group and 389 subjects in the control group. The meta-analysis shows that yoga exercise intervention is effective in improving sleep quality in breast cancer patients [SMD = -0.40, 95% CI: (-0.71, -0.09), P = 0.01]; yoga exercise intervention focusing on positive meditation [SMD = -0.55, 95% CI: (-1.08, -0.03), P = 0.04] is effective in improving sleep; yoga exercise intervention two or three times a week is effective in improving sleep quality [SMD = -0.69, 95% CI: (-1.19, -0.19), P = 0.007]; yoga exercise intervention for 6-8 weeks significantly improves sleep quality [SMD = -0.86, 95% CI: (-1.65, -0.08), P =0.03]; and evaluation immediately after the end of intervention improves sleep outcomes [SMD = -0.17, 95% CI: (-0.33, 0.00), P = 0.05], while differences in sleep quality improvement are not statistically significant for the remaining subgroup outcomes (P > 0.05).

Conclusion

The available evidence suggests that yoga exercise intervention has good effects on improving sleep quality in breast cancer patients. Positive meditation intervention type, intervention frequency of two or three times per week, total intervention duration of 6-8 weeks and evaluation immediately after the end of intervention are shown to be effective in improving sleep quality.

Sleep disturbance and decrements in morning energy contribute to a higher symptom burden in oncology patients

OBJECTIVE/BACKGROUND

An emerging area of research is the relationship between sleep disturbance and decrements in energy. Given the paucity of research on the co-occurrence of these two symptoms, study purposes were to identify subgroups of oncology patients with distinct joint sleep disturbance AND morning energy profiles and evaluate for differences among the subgroups in demographic, clinical, and sleep disturbance characteristics, as well as the severity of other common symptoms and QOL outcomes.

PATIENTS/METHODS

Patients (n = 1336) completed measures of sleep disturbance and energy 6 times over two cycles of chemotherapy. All of the other measures were completed at enrollment. Latent profile analysis was used to identify the distinct joint sleep disturbance and morning energy profiles.

RESULTS

Three distinct profiles were identified (i.e., Low Sleep Disturbance and High Morning Energy (Normal, 20.6%), Moderate Sleep Disturbance and Low Morning Energy (Moderately Severe, 52.1%), Very High Sleep Disturbance and Very Low Morning Energy (Very Severe, 27.3%). Compared to Normal class, other two classes were more likely to be female, less likely to be employed, and had higher comorbidity burden and poorer functional status. Symptom scores and QOL outcomes exhibited a dose response effect (i.e., as the profile worsened, symptom scores increased and QOL scores decreased).

CONCLUSIONS

Given the associations between sleep disturbance and decrements in energy and a higher symptom burden, poorer QOL outcomes, and increased mortality, assessment of these two symptoms needs to be a high priority for clinicians and appropriate interventions initiated.

An Update on Prevalence, Assessment, and Risk Factors for Sleep Disturbances in Patients with Advanced Cancer—Implications for Health Care Providers and Clinical Research

Simple Summary

This review focuses on sleep in patients with advanced cancer. Cancer patients experience multiple symptoms and they receive concomitant medications. These are all factors that may affect sleep. In this paper, we present recommendations on sleep assessment in patients with advanced cancer and highlight cancer-related factors that may contribute to insomnia. Sleep is an essential aspect of health-related quality of life; therefore, it is important for health care providers to focus on sleep to improve patient care.

Abstract

Patients with advanced cancer experience multiple symptoms, with fluctuating intensity and severity during the disease. They use several medications, including opioids, which may affect sleep. Sleep disturbance is common in cancer patients, decreases the tolerability of other symptoms, and impairs quality of life. Despite its high prevalence and negative impact, poor sleep quality often remains unrecognized and undertreated. Given that sleep is an essential aspect of health-related quality of life, it is important to extend both the knowledge base and awareness among health care providers in this field to improve patient care. In this narrative review, we provide recommendations on sleep assessment in patients with advanced cancer and highlight cancer-related factors that contribute to insomnia. We also present direct implications for health care providers working in palliative care and for future research.