Incorporating measures of sleep quality into cancer studies

A narrative review of the relationship between head and neck cancer and obstructive sleep apnea: Clinical studies and statistical analysis

Obstructive sleep apnea (OSA) is an underestimated and overlooked comorbidity in head and neck cancer (HNC) care. Refining HNC-OSA management requires an improved grasp of the HNC-OSA relationship. Thus, this paper reviews the current course of HNC therapy, causal and associative relationships before and after treatment, and statistical methods quantifying HNC-OSA interactions. This evaluation serves a dual purpose: to support oncologists and sleep physicians in improving the treatment outcomes of patients undergoing HNC treatment by considering OSA as a comorbidity and to assist researchers in selecting suitable analytical models for investigating the correlation between OSA and HNC. The investigation confirms a positive correlation between the apnea-hypopnea index (AHI) and primary tumor size, consistent with prior findings. Case studies also reported new evidence of lipoma and head-neck tumors triggering OSA, and sleep apnea surgery prompting tumor development. This paper provides an overview of existing statistical models and offers suggestions for model selection and a framework for designing experiments that delve into research questions surrounding the link between OSA and HNC across various stages of cancer treatment. Despite progress, understanding the HNC-OSA interplay remains incomplete due to limited histological, molecular, and clinical data. Future studies with longitudinal data are crucial for comprehensive insights.

The relationship between the morningness-eveningness questionnaire and incident cancer: A historical clinical cohort study

OBJECTIVE

We conducted a retrospective cohort study to explore the relationship between chronotype measured by the total Morningness-Eveningness Questionnaire (MEQ) score and incident cancer.

METHODS

We used clinical and provincial health administrative data on consecutive adults who underwent a Level 1 Polysomnography (PSG) and completed the MEQ between 2010 and 2015 in an academic hospital (Ontario, Canada) and were cancer-free at baseline. Cancer status was derived from the Ontario Cancer Registry. Individuals were followed until death or March 31, 2020. We used multivariable Cox cause-specific regressions to address the research objective.

RESULTS

Of 3,004 individuals, 1,781 were analyzed: a median age of 54 years (IQR: 40-64) and 838 (47.1%) men. The median total MEQ score was 63 (IQR: 55-69); 61 (3.4%) were classified as evening (≤41), 536 (30.1%) as intermediate (42-58), and 1,184 (66.5%) as morning chronotypes (≥59). Over a median of 7 years (IQR: 5-8), 120 (6.7%) developed cancer. A U-shape relationship was found between the total MEQ score and an increased hazard of incident cancer, controlling for PSG measures of sleep apnea severity and sleep architecture, demographics, and comorbidities. Compared to the median of 63.0, a total MEQ score greater or less than the median was associated with an increased hazard of incident cancer, with the largest effect for those with a total score ≥76 (e.g., HR of a MEQ total score of 78 vs. 63: 2.01, 95% CI: 1.09-3.71).

CONCLUSION

The U-shaped curve may reflect deviations from a standard circadian tendency, which may stress biological systems and influence malignancy risk.

Polysomnographic Assessment of Sleep Disturbances in Cancer Development: A Historical Multicenter Clinical Cohort Study

BACKGROUND

Many cellular processes are controlled by sleep. Therefore, alterations in sleep might be expected to stress biological systems that could influence malignancy risk.

RESEARCH QUESTION

What is the association between polysomnographic measures of sleep disturbances and incident cancer, and what is the validity of cluster analysis in identifying polysomnography phenotypes?

STUDY DESIGN AND METHODS

We conducted a retrospective multicenter cohort study using linked clinical and provincial health administrative data on consecutive adults free of cancer at baseline with polysomnography data collected between 1994 and 2017 in four academic hospitals in Ontario, Canada. Cancer status was derived from registry records. Polysomnography phenotypes were identified by k-means cluster analysis. A combination of validation statistics and distinguishing polysomnographic features was used to select clusters. Cox cause-specific regressions were used to assess the relationship between identified clusters and incident cancer.

RESULTS

Among 29,907 individuals, 2,514 (8.4%) received a diagnosis of cancer over a median of 8.0 years (interquartile range, 4.2-13.5 years). Five clusters were identified: mild (mildly abnormal polysomnography findings), poor sleep, severe OSA or sleep fragmentation, severe desaturations, and periodic limb movements of sleep (PLMS). The associations between cancer and all clusters compared with the mild cluster were significant while controlling for clinic and year of polysomnography. When additionally controlling for age and sex, the effect remained significant only for PLMS (adjusted hazard ratio [aHR], 1.26; 95% CI, 1.06-1.50) and severe desaturations (aHR, 1.32; 95% CI, 1.04-1.66). Further controlling for confounders, the effect remained significant for PLMS, but was attenuated for severe desaturations.

INTERPRETATION

In a large cohort, we confirmed the importance of polysomnographic phenotypes and highlighted the role that PLMS and oxygenation desaturation may play in cancer. Using this study's findings, we also developed an Excel (Microsoft) spreadsheet (polysomnography cluster classifier) that can be used to validate the identified clusters on new data or to identify which cluster a patient belongs to.

TRIAL REGISTRY

ClinicalTrials.gov; Nos.: NCT03383354 and NCT03834792; URL: www.

CLINICALTRIALS

gov.

The Effect of Benson Relaxation on Quality of Sleep of Cancer Patients

AIM: This research was carried out to investigate the effect of Benson relaxation techniques on the quality of sleep in cancer patients. METHODS: This research was a quantitative research with quasi-experimental pre- and post-test design with control group. Research conducted in the room Class 3 Bougainvillea and Teratai RSUD Prof. Dr. Margono Soekarjo Purwokerto. The sample in this study was 20 respondents of the intervention group and 20 respondents of the control group. The intervention group received 6 times Benson relaxation intervention with frequency 3 times a day for 2 days and the control group was given standard care. The data were collected from January to February 2021. Quality of sleep was measured before and after the intervention using the Pittsburgh quality of sleep index (PSQI) questionnaire. The hypothesis test was performed using Mann–Whitney U-test aiming to measure the effect size using d Cohen. RESULTS: The results obtained mean values for PSQI score with median (min-max) intervention group 3.50 (2.00–7.00) and control group 0.50 (−2.00–3.00) and the results obtained p = 0.001. Clinically and statistically, there was a significant effect of Benson relaxation on decreasing PSQI score. The effect size test results in 2.33, which means that Benson relaxation has a great effect on the decrease in PSQI score. CONCLUSION: Benson relaxation clinically and statistically affects the decrease in PSQI score of cancer patients recommended in nursing interventions as one of the complementary therapies.

Characteristics of healthy behavior in Mexican women who survived breast cancer

OBJECTIVE

This paper aims to assess diet and lifestyle by designing a healthy behavior index (HBI) related to the educational level and time of breast cancer (BC) diagnosis.

METHODS

241 female breast cancer survivors treated at Centro Estatal de Cancerología (State Cancer Center) in Mexico were assessed based on dietary pattern, physical activity, smoking, alcohol consumption, body size and shape, sleep disorders with increasing scores that represent less healthy characteristics. The odds ratios (OR) and quartiles of the healthy behavior index and the time of diagnosis were estimated. The regression model was used to assess the association between HBI and the BC covariates.

RESULTS

The healthy behavior index for the two first quartiles was that of p < 0.001. The graphic behavior of correspondence with the covariates (age, schooling and moderate physical activity) showed a different three-dimensional effect on healthy behaviors. According to diagnosis time ≤ three years, the following covariates were significant: socioeconomic status, (OR: 4.34 CI 95% 1.2-9.5), sleep disturbances (p = 020) and protective intake of fruits and vegetables (p = 0.001). In the multivariate analysis, survivors with a high level of education are significantly more likely to show a healthy behavior (OR: 0.3 95% CI 0.12 - 0.8); as well as the early clinical stages (OR: 0.4 95% CI 0.2-0.9).

CONCLUSION

In breast cancer survivors, both the high level of education and early clinical stages were important healthy behavior modifiers.

PRACTICE IMPLICATIONS

Since diets are potentially modifiable, the findings may have further implications to promote a careful dietary pattern to prevent breast cancer. These variables should be assessed as a strategy in cancer survivor preventive programs.

Association Between Pretreatment Sleep Disturbance and Radiation Therapy-Induced Pain in 573 Women With Breast Cancer

CONTEXT

Pain can be a debilitating side effect of radiation therapy (RT). Data from the general population have shown that sleep disturbance can influence pain incidence and severity; however, less is known about this relationship in patients with breast cancer receiving RT.

OBJECTIVES

This secondary analysis examined the association of pretreatment moderate/severe levels of sleep disturbance with subsequent RT-induced pain after adjusting for pre-RT pain.

METHODS

We report on 573 female patients with breast cancer undergoing RT from a previously completed Phase II clinical trial for radiation dermatitis. Sleep disturbance, total pain, and pain subdomains-sensory pain, affective pain, and perceived pain intensity were assessed at pre-RT and post-RT. At pre-RT, patients were dichotomized into two groups: those with moderate/severe sleep disturbance (N = 85) vs. those with no/mild sleep disturbance (control; N = 488).

RESULTS

At pre-RT, women with moderate/severe sleep disturbance were younger, less likely to be married, more likely to have had mastectomy and chemotherapy, and more likely to have depression/anxiety disorder and fatigue than the control group (all Ps < 0.05). Generalized estimating equations model, after controlling for pre-RT pain and other covariates (e.g., trial treatment condition and covariates that were significantly correlated with post-RT pain), showed that women with moderate/severe sleep disturbance at pre-RT vs. control group had significantly higher mean post-RT total pain as well as sensory, affective, and perceived pain (effect size = 0.62, 0.60, 0.69, and 0.52, respectively; all Ps < 0.05).

CONCLUSION

These findings suggest that moderate/severe disturbed sleep before RT is associated with increased pain from pre-to-post-RT in patients with breast cancer.

Influence of Yoga on Cancer-Related Fatigue and on Mediational Relationships Between Changes in Sleep and Cancer-Related Fatigue: A Nationwide, Multicenter Randomized Controlled Trial of Yoga in Cancer Survivors

BACKGROUND

Cancer-related fatigue (CRF) often co-occurs with sleep disturbance and is one of the most pervasive toxicities resulting from cancer and its treatment. We and other investigators have previously reported that yoga therapy can improve sleep quality in cancer patients and survivors. No nationwide multicenter phase III randomized controlled trial (RCT) has investigated whether yoga therapy improves CRF or whether improvements in sleep mediate the effect of yoga on CRF. We examined the effect of a standardized, 4-week, yoga therapy program (Yoga for Cancer Survivors [YOCAS]) on CRF and whether YOCAS-induced changes in sleep mediated changes in CRF among survivors.

STUDY DESIGN AND METHODS

Four hundred ten cancer survivors were recruited to a nationwide multicenter phase III RCT comparing the effect of YOCAS to standard survivorship care on CRF and examining the mediating effects of changes in sleep, stemming from yoga, on changes in CRF. CRF was assessed by the Multidimensional Fatigue Symptom Inventory. Sleep was assessed via the Pittsburgh Sleep Quality Index. Between- and within-group intervention effects on CRF were assessed by analysis of covariance and 2-tailed t test, respectively. Path analysis was used to evaluate mediation.

RESULTS

YOCAS participants demonstrated significantly greater improvements in CRF compared with participants in standard survivorship care at post-intervention ( P < .01). Improvements in overall sleep quality and reductions in daytime dysfunction (eg, excessive napping) resulting from yoga significantly mediated the effect of yoga on CRF (22% and 37%, respectively, both P < .01).

CONCLUSIONS

YOCAS is effective for treating CRF among cancer survivors; 22% to 37% of the improvements in CRF from yoga therapy result from improvements in sleep quality and daytime dysfunction. Oncologists should consider prescribing yoga to cancer survivors for treating CRF and sleep disturbance.

A call to action for expanded sleep research in pediatric oncology: A position paper on behalf of the International Psycho‐Oncology Society Pediatrics Special Interest Group

Sleep and circadian rhythms are closely related to physical and psychosocial well‐being. However, sleep and circadian rhythm disruptions are often overlooked in children with cancer, as they are frequently considered temporary side effects of therapy that resolve when treatment ends. Yet, evidence from adult oncology suggests a bidirectional relationship wherein cancer and its treatment disrupt sleep and circadian rhythms, which are associated with negative health outcomes such as poor immune functioning and lower survival rates. A growing body of research demonstrates that sleep problems are prevalent among children with cancer and can persist into survivorship. However, medical and psychosocial outcomes of poor sleep and circadian rhythmicity have not been explored in this context. It is essential to increase our understanding because sleep and circadian rhythms are vital components of health and quality of life. In children without cancer, sleep and circadian disturbances respond well to intervention, suggesting that they may also be modifiable in children with cancer. We present this paper as a call to (a) incorporate sleep or circadian rhythm assessment into pediatric cancer clinical trials, (b) address gaps in understanding the bidirectional relationship between sleep or circadian rhythms and health throughout the cancer trajectory, and (c) integrate sleep and circadian science into oncologic treatment.

The day after: correlates of patient-reported outcomes with actigraphy-assessed sleep in cancer patients at home (inCASA project)

Subjective sleep assessment in cancer patients poorly correlates with actigraphy parameters that usually encompass multiple nights. We aimed to determine the objective actigraphy measures that best correlated with subjective sleep ratings on a night-by-night basis in cancer patients. Thirty-one cancer patients daily self-rated sleep disturbances using the single dedicated item of the MD Anderson Symptom Inventory (0-10 scale) with 18 other items, and continuously wore a wrist actigraph for 30 days. Objective sleep parameters were computed from the actigraphy nighttime series, and correlated with subjective sleep disturbances reported on the following day, using repeated measures correlations. Multilevel Poisson regression analysis was performed to identify the objective and subjective parameters that affected subjective sleep rating. Poor subjective sleep score was correlated with poor sleep efficiency (rrm = -0.13, p = 0.002) and large number of wake episodes (rrm = 0.12, p = 0.005) on the rated night. Multilevel analysis demonstrated that the expected sleep disturbance score was affected by the joint contribution of the wake episodes (exp(β) = 1.01, 95% confidence interval = 1.00 to 1.02, p = 0.016), fatigue (exp(β) = 1.35, 95% confidence interval = 1.15 to 1.55, p < 0.001) and drowsiness (exp(β) = 1.70, 95% confidence interval = 1.19 to 2.62, p = 0.018), self-rated the following evening, and sleep disturbance experienced one night before (exp(β) = 1.77, 95% confidence interval = 1.41 to 2.22, p < 0.001). The night-by-night approach within a multidimensional home tele-monitoring framework mainly identified the objective number of wake episodes computed from actigraphy records as the main determinant of the severity of sleep complaint in cancer patients on chemotherapy. This quantitative information remotely obtained in real time from cancer patients provides a novel framework for streamlining and evaluating interventions toward sleep improvement in cancer patients.

Sleep quality in hospitalized patients with advanced cancer: an observational study using self-reports of sleep and actigraphy

PURPOSE

Although patients with advanced cancer report poor sleep quality, few studies have assessed sleep quality with a combination of subjective and objective measures. We aimed to examine sleep quality in hospitalized patients with advanced cancer by combining patient-reported outcome-measures (PROMs) and polysomnography (PSG) or actigraphy.

METHODS

A one-night prospective observational study of sleep in hospitalized patients with metastatic cancer using WHO step III opioids was conducted. Total sleep time, sleep onset latency, number of awakenings, and wake after sleep onset were assessed by PROMs and actigraphy. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) (range; 0-21), where higher scores indicate worse sleep quality.

RESULTS

Forty patients were monitored. Median age was 70, median oral morphine equivalent dose was 80 mg/24 h (10-1725), median Karnofsky Performance Score was 50 (20-90), and median time to death from inclusion was 38 days (4-319). Mean PSQI score was 6.5 (SD ± 3.4). PROMs and actigraphy of mean (SD) sleep onset latency were 46 (± 64) and 35 min (± 61), respectively, while mean time awake at night was 37 (± 35) and 40 min (± 21). PROMs and actigraphy differed on number of awakenings (mean 2 (± 1) vs. 24 (± 15), p ˂ 0.001). Bland-Altman plots showed large individual differences between PROMs and actigraphy. PSG was not feasible.

CONCLUSIONS

PROMs and actigraphy documented poor sleep quality, but a lack of agreement across methods. The study demonstrates a need to improve assessment of sleep quality and treatment of sleep disturbance in hospitalized patients with advanced cancer near end of life.

Sleep quality among adult patients with chronic dermatoses

Chronic dermatoses, including atopic dermatitis, psoriasis, prurigo nodularis, chronic spontaneous urticaria and hidradenitis suppurativa, as well as accompanying subjective symptoms (itch and pain), have a great impact on patients’ well-being. Skin plays an important role in the physiological sleep process. This review attempts to analyze the association between chronic dermatoses in adults and sleep quality in recent studies. Polysomnography and actigraphy are performed for the objective assessment of sleep quality. Questionnaire-based subjective evaluations of sleep quality, including the Pittsburgh Sleep Quality Index and Medical Outcomes Study Sleep Scale, are useful in clinical studies and clinical practice. Subjective symptoms such as itch and pain have an essential influence on sleep quality and general quality of life in patients with chronic skin diseases.

Cognitive Behavioral Therapy for Insomnia Reduces Depression in Cancer Survivors

STUDY OBJECTIVES

The current archival analyses examine the direct and indirect effects of cognitive behavioral therapy for insomnia (CBT-I) on depression in cancer survivors.

METHODS

We report on 67 cancer survivors from a 2 × 2 randomized controlled trial of CBT-I and armodafinil for insomnia, after collapsing across the noneffective study medication conditions (armodafinil/placebo) to create CBT-I (yes/no). Depression and insomnia were assessed before, during the 7-week CBT-I intervention, at postintervention, and 3 months later by the Patient Health Questionnaire and the Insomnia Severity Index, respectively.

RESULTS

Mean depression at baseline for all participants was 6.44 (standard error = 0.41, range 0-15). Paired t tests showed that depression improved from baseline to postintervention by 48% (P < .001) in the CBT-I group versus 15% (P = .016) in the non-CBT-I group. Analysis of covariance controlling for baseline found that participants receiving CBT-I had significantly less depression at postintervention (effect size = -0.62; P = .001), compared to those who did not receive CBT-I. These benefits were maintained at the 3-month follow-up. Spearman rank correlations showed that changes in insomnia severity from baseline to postintervention were significantly correlated with concurrent changes in depression (r = .73; P < .001). Path analysis revealed that improvement in depression was mediated by improvement in insomnia severity (P < .001).

CONCLUSIONS

Our findings provide preliminary support that in cancer survivors, CBT-I reduces depression via improvement in insomnia. Further, this reduction in depression remained stable 3 months after completing CBT-I. This suggests that a CBT-I intervention has a meaningful effect on depression.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Title: Cognitive Behavioral Therapy +/- Armodafinil for Insomnia and Fatigue Following Chemotherapy; Identifier: NCT01091974; URL: https://clinicaltrials.gov/ct2/show/record/NCT01091974.

Sleep quality in the general population: psychometric properties of the Pittsburgh Sleep Quality Index, derived from a German community sample of 9284 people

BACKGROUND

The Pittsburgh Sleep Quality Index (PSQI) is frequently used to assess sleep problems in patients. The aim of this study was to provide reference values for this questionnaire, to test psychometric properties, and to analyze associations with psychological, sociodemographic, and behavioral factors.

METHODS

A German community sample comprising 9284 adult residents (aged 18-80 years) was surveyed using the PSQI and several other questionnaires.

RESULTS

According to the generally accepted cut-off (PSQI > 5), 36% of the general population slept badly. Females reported significantly more sleep problems than males (mean scores: M = 5.5 vs. M = 4.4, respectively; effect size d = 0.35), but there was no linear association between age and sleep quality. Sleep problems were correlated with fatigue, quality of life (physical as well as mental), physical complaints, anxiety, and lack of optimism. Sleep quality was also strongly associated with socioeconomic status, professional situation (poorest sleep quality in unemployed people), and obesity. In addition to the results of the PSQI total score, mean scores of specific components of sleep quality were presented (sleep latency, sleep duration, and use of sleep medication).

CONCLUSION

The PSQI proved to be a suitable instrument for measuring sleep quality. Gender differences, psychological factors, and obesity should be taken into account when groups of patients are compared with respect to sleep problems.