Symptoms and survivorship needs differences between "good sleepers" and "bad sleepers" in survivors of breast and gynecologic cancers.

INTRODUCTION: Although 80% of cancer survivors report symptoms of insomnia, only 28-43% meet DSM-5 criteria for this diagnosis. We sought to characterize the association between patient-reported insomnia symptoms, patient outcomes, and supportive care variables, as well as explore clinically meaningful insomnia thresholds in a sample of women diagnosed with breast and gynecologic cancers. METHODS: From July 2018-March 2019, all breast and gynecologic cancer survivors seen at the Stanford Women's Cancer Center were approached and invited to participate in the study (15% declined). Of those who consented, 273 survivors completed an online survey related to their sleep (ISI), quality of life (FACT-G), distress (PHQ-4), supportive care needs (SCNS-SF34), and symptom severity (MDASI). Survivors who scored <8 on ISI were categorized as "good sleepers," survivors with ISI ≥8 were categorized as "bad sleepers." RESULTS: 126 (46.2%) of survivors were "good sleepers," 147 (53.8%) were "bad sleepers." Good sleepers were older than bad sleepers (p < .05) but did not differ in any other demographic or any medical variables. Using hierarchical linear regression models, we found that good sleep (ISI <8) was associated with higher quality of life, lower psychological distress, increased social support, lower symptom severity, and lower supportive care needs, after accounting for demographic, medical, and treatment variables. The findings were largely replicated with an ISI cut off of 15. CONCLUSIONS: Among women treated for breast and gynecologic cancers, survivors who were good sleepers had better psychosocial outcomes, fewer supportive care needs, and lower symptom severity compared to those who reported insomnia symptoms. Results also indicate that degree of sleep impairment, whether mild or severe, has similarly poor associations with most aspects of patient functioning and symptomatic burden. Further research is needed to determine causality of these findings.

Toward a theory-based specification of non-pharmacological treatments in aging and dementia: Focused reviews and methodological recommendations.

INTRODUCTION: Non-pharmacological treatments (NPTs) have the potential to improve meaningful outcomes for older people at risk of, or living with dementia, but research often lacks methodological rigor and continues to produce mixed results. METHODS: In the current position paper, experts in NPT research have specified treatment targets, aims, and ingredients using an umbrella framework, the Rehabilitation Treatment Specification System. RESULTS: Experts provided a snapshot and an authoritative summary of the evidence for different NPTs based on the best synthesis efforts, identified main gaps in knowledge and relevant barriers, and provided directions for future research. Experts in trial methodology provide best practice principles and recommendations for those working in this area, underscoring the importance of prespecified protocols. DISCUSSION: We conclude that the evidence strongly supports various NPTs in relation to their primary targets, and discuss opportunities and challenges associated with a unifying theoretical framework to guide future efforts in this area.

A novel approach to management of sleep-associated problems in patients with breast cancer (MOSAIC) during chemotherapy : A pilot study.

STUDY OBJECTIVES: This pilot randomized controlled trial (RCT) was conducted to assess the preliminary effects of Brief Behavioral Therapy for Cancer-Related Insomnia (BBT-CI) delivered by trained research staff in comparison to a sleep hygiene pamphlet control and to assess moderators of treatment effect in patients with breast cancer undergoing chemotherapy. METHODS: Of 74 participants recruited, 37 were randomized to BBT-CI and 37 were randomized to the control condition. Trained staff members delivered the intervention during chemotherapy treatments to reduce patients' burden. Insomnia was assessed with the Insomnia Severity Index (ISI), anxiety was assessed with the Spielberger State-Trait Anxiety Inventory, symptom burden was assessed with the Symptom Inventory (SI), and study staff recorded previous treatments and surgeries received by patients. RESULTS: Patients randomized to BBT-CI showed significantly greater improvements in their ISI scores compared to the sleep hygiene group. Additionally, several treatment moderators were identified. The effect of BBT-CI was greater among individuals with lower baseline state-trait anxiety, with previous surgery for cancer, and with higher baseline somatic symptom severity. CONCLUSIONS: BBT-CI shows preliminary efficacy compared to the sleep hygiene handout on insomnia in cancer patients undergoing chemotherapy. A large-phase III RCT needs to be conducted to replicate the preliminary findings.

Association of Anxiety Symptom Clusters with Sleep Quality and Daytime Sleepiness.

Objectives: To better understand links between anxiety and sleep disturbances in older adults, we examined the association of different phenotypic presentations of anxiety (i.e., affective, cognitive, and somatic clusters) with global sleep quality and daytime sleepiness. Methods: 109 community-dwelling adults aged 66-92 years old (57% female) completed assessments of global sleep quality (Pittsburgh Sleep Quality Index), daytime sleepiness (Epworth Sleepiness Scale), affective anxiety symptoms (Geriatric Anxiety Scale (GAS) affective subscale), cognitive anxiety symptoms (GAS cognitive subscale), and somatic anxiety symptoms (GAS somatic subscale). Results: In hierarchical regression models adjusted for depressive symptoms and health status, greater affective and somatic anxiety were associated with poorer global sleep quality (affective B = 0.30, p = .01; somatic B = 0.41, p = .01). Somatic and cognitive anxiety were associated with greater daytime sleepiness (somatic B = 0.74, p < .001; cognitive B = 0.30, p = .03), but these associations were attenuated by covariates added to the models. Discussion: These findings indicate that anxiety symptom clusters are differentially associated with specific sleep-related disturbances, underscoring the complex relationship of late-life anxiety to sleep. Results suggest that personalized treatments, such as targeted sleep interventions, may improve specific anxiety-symptom domains, or vice versa.

Neuropsychological Functioning in Older Adults with Mild Cognitive Impairment and Insomnia Randomized to CBT-I or Control Group.

OBJECTIVES: Improving the sleep of older adults with mild cognitive impairment (MCI) represents a first step in discovering whether interventions directed at modifying this risk factor also have the potential to alter the cognitive decline trajectory. METHODS: A six-session, adapted version of a cognitive behavioral therapy for insomnia (CBT-I) was administered to older adults (N = 28; 14 per group) with MCI across two residential facilities. Participants were randomly assigned to either the sleep intervention or an active control group and completed a neuropsychological battery at three time points (e.g., baseline-T1, post-intervention-T2, 4 month follow-up-T3). RESULTS: Results showed a significant improvement in sleep and a change (p < .05) on a key measure of executive functioning sub task of inhibition (Condition 3 of D-KEF Color-Word Interference Test), a positive trend on the inhibition-switching task (p < .10; Condition 4 of D-KEF Color-Word Interference Test), an no change in a measure of verbal memory (HVLT-R Delayed Recall) compared with the active control group. CONCLUSIONS: CBT-I is a nonpharmacological intervention that has the potential to cognitively benefit individuals with MCI suffering from comorbid insomnia. CLINICAL IMPLICATIONS: Results suggest that a non-pharmacological intervention to improve sleep in older adults with MCI also improve cognitive functioning. Further exploration of the mechanisms underlying these improvements is warranted.

Increasing the ranks of academic researchers in mental health: a multisite approach to postdoctoral fellowship training.

This report highlights the use of multisite training for psychiatry and psychology postdoctoral fellows developing careers in academic clinical research in the field of mental health. The objective is to describe a model of training for young investigators to establish independent academic clinical research careers, including (1) program structure and eligibility, (2) program goals and development of a multisite curriculum, (3) use of technology for implementing the program across multiple sites, and (4) advantages and challenges of this multisite approach. In 2000, in collaboration with the Veterans Affairs (VA) Mental Illness Research, Education and Clinical Centers (MIRECCs), the VA Office of Academic Affiliations launched the Special Fellowship Program in Advanced Psychiatry and Psychology. Each of the 10 currently participating VA sites across the United States is affiliated with a MIRECC and an academic medical institution. In the first five years of this fellowship program, 83 fellows (34 psychiatrists and 49 psychologists) have participated. The success of this multisite approach is evidenced by the 58 fellows who have already graduated from the program: 70% have entered academic clinical research positions, and over 25 have obtained independent extramural grant support from the VA or the National Institutes of Health. Multisite training results in a greater transfer of knowledge and capitalizes on the nationwide availability of experts, creating unique networking and learning opportunities for trainees. The VA's multisite fellowship program plays a valuable role in preparing substantial numbers of psychiatry and psychology trainees for a range of academic clinical research and leadership positions in the field of mental health.