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To examine if selected demographic (age, gender), clinical (diabetes, coronary artery disease, hyperlipidemia, myocardial infarction, stroke, lung disease, smoking history, alcohol intake), and biomarker [blood pressure (BP), heart rate, body mass index (BMI), neck circumference, Mallampati score] variables are predictors of apnea-hypopnea index (AHI) from polysomnography (PSG). This cross-sectional study recruited a sample of adults (N = 170) who were being evaluated for OSA. Participants completed self-reported demographic and clinical questionnaires, and then completed PSG (n = 142). Multi-collinearity was assessed. Confounding factors, correlations, and potential interactions were explored. The final regression model was performed on 130 participants; 61 (46.9%) had an AHI ≥ 15. Systolic and diastolic BPs were highly correlated. Interactions were tested between gender and other variables (high cholesterol, BMI, neck circumference, systolic BP) and between systolic BP and other variables (high cholesterol, BMI, neck circumference, and lung disease). No interactions occurred between gender or systolic BP and other variables, meaning that the effects of the variables on AHI levels from PSG did not vary depending on gender or systolic BP. BMI, systolic BP, and absence of lung disease were predictors for AHI levels ≥ 15 from PSG. BMI and systolic BP were significant predictors of OSA in this study. The absence of lung disease as a significant predictor was unique and may be due to the small number of participants who self-reported lung disease. To our knowledge, this is the first study to report this combination of variables to predict AHI levels ≥ 15 from PSG.

Psychoneurological symptom clusters are co-occurring and interrelated physiological symptoms that may include cancer-related fatigue, pain, depressive symptoms, cognitive disturbances, and sleep disturbances. These symptoms are hypothesized to share a common systemic proinflammatory etiology. Thus, an investigation of systemic immune biomarkers is an important approach to test this hypothesis. Here, we investigated the associations between extracellular vesicle (EV)-associated and soluble cytokines with immune markers and symptom clusters in men with non-metastatic prostate cancer. This observational study included 40 men with non-metastatic prostate cancer at the start (T1) of external beam radiation therapy (EBRT) and 3 months post treatment (T2), as well as 20 men with non-metastatic prostate cancer on active surveillance (AS) seen at one time point. Collected questionnaires assessed patient-reported fatigue, sleep disturbances, depressive symptoms, and cognitive fatigue. In total, 45 soluble and EV-associated biomarkers in plasma were determined by multiplex assays. Principal component analysis (PCA) was used to identify psychoneurological symptom clusters for each study group and their time points. Bivariate correlation analysis was run for each identified PCA cluster with the concentrations of EV-associated and soluble cytokines and immune markers. Both EV-associated and soluble forms of RANTES significantly correlated with the symptom cluster for EBRT at T1, whereas, at T2, soluble IFNα2, IL-9, and IL-17 correlated with the corresponding symptom cluster. For the AS group, soluble survivin correlated with psychoneurological symptoms. Linking specific inflammatory cytokines with psychoneurological symptom clusters in men receiving prostate cancer treatment can enhance understanding of the underlying mechanisms of this phenomenon and aid in developing targeted interventions.

Throughout the cancer continuum, patients are faced with the cancer- and treatment-related side effects that can have a negative impact on their overall quality of life. Cancer-related fatigue (CRF) and sleep deficiency are among the symptoms that patients and their caregivers most often experience. An increasing body of literature suggests that a strong correlation between CRF and sleep deficiency exists, indicating that they may be reciprocally related and that they may have similar underlying etiology. This paper aims at bringing together the opinions of leading cancer control (i.e., CRF and sleep) and oncology experts in order to increase the understanding of CRF and sleep deficiency's assessment, associated symptom clustering, symptom burden shared by caregivers, and CRF and sleep deficiency management in the cancer care context.

Research has been limited in circadian activity rhythms and their relationship with health status in early-stage breast cancer survivors. Maintaining strong circadian parameters may reduce symptoms and improve physical functioning and disease-free survival.This is a descriptive, correlational, secondary analysis of data from a randomized controlled trial collected 1 year after the first chemotherapy treatment; n = 156 cases with 7 days of wrist actigraph data of six circadian activity rhythm parameters; measures of function, fatigue, sleep, and anxiety/depression; and demographic/medical data including body mass index (BMI).In the total sample and three BMI categories, acrophase was the only circadian parameter that reached means established in healthy adults. In the total sample, phase-delayed acrophase was associated with higher depression (r = 0.180, p = 0.025) and lower morning energy (r = -0.194, p = 0.016) and trended for higher fatigue (r = 0.153, p = 0.057). Lower morning energy was also associated with a lower circadian quotient (r = 0.158, p = 0.05). As BMI increased, weaker circadian parameters were recorded consistently. When compared with women in normal BMI categories, obese women's amplitude and 24-h autocorrelation coefficient were significantly weaker (p = 0.011-0.015). In obese women, phase-delayed acrophase was correlated with higher fatigue and anxiety and with lower morning energy and physical functioning.Amplitude and 24-h autocorrelation parameters were significantly weaker, and phase-delayed acrophase was linked to several more intense symptoms and lower physical functioning in obese women.Clinicians need to target high-risk women with phase-delayed rhythms, higher symptoms, and lower physical functioning for intervention.

BACKGROUND: This study’s purpose was twofold: (1) to establish adherence rates to a behavioral therapy (BT) sleep intervention and (2) to identify psychological and physical symptom predictors of adherence to the intervention in women undergoing breast cancer chemotherapy. METHODS: A randomized controlled trial began 48 h before the first of four chemotherapy treatments. Women with stages I–IIIA breast cancer (n=113) received a BT sleep intervention composed of stimulus control, modified sleep restriction (MSR), relaxation therapy (RT), and sleep hygiene counseling components. A BT plan was developed by a research nurse and each participant, reinforced on day 8, and repeated for chemotherapy cycles 2, 3, and 4. Adherence to the BT plan was measured daily; total adherence score was computed at each chemotherapy cycle by combining adherence estimates of all BT plan components. Psychological and physical symptoms over the past 7 days were measured 2 days prior to and 7 days after each chemotherapy treatment. RESULTS: Total adherence rates to the BT plan were 51–52% at all four treatments but adherence varied by component. Sleep disturbance, pain, and anxiety significantly decreased whereas depression significantly increased across chemotherapy. Structural equation modeling revealed a good model fit with decreasing sleep disturbances (0.409) and increasing depression (−0.711) contributing to lower total adherence rates. Increasing depression predicted lower MSR adherence (−0.203) and decreasing sleep disturbances predicted lower RT adherence (1.220). CONCLUSIONS: Sleep disturbance and depression significantly impacted adherence rates during chemotherapy. Results warrant attention when promoting adherence to BT sleep interventions during chemotherapy treatment.