Caregivers' Internet-Delivered Insomnia Intervention Engagement and Benefit: SHUTi-CARE Trial Primary Quantitative Analysis.

BACKGROUND: Delivering insomnia treatment by the Internet holds promise for increasing care access to family caregivers, but their ability to adhere to and benefit from such fully-automated programs has not been rigorously tested. PURPOSE: This fully-powered, single-group trial tested whether characteristics of the caregiving context influence high-intensity caregivers' engagement with and benefit from an empirically validated Internet intervention for insomnia. METHODS: At baseline, caregivers providing unpaid time- and responsibility-intensive care who reported insomnia (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic white, 66% ≥college degree) completed questionnaires about caregiving context and sleep, then 10 prospectively-collected online daily sleep diaries. Caregivers then received access to SHUTi (Sleep Healthy Using the Internet), which has no caregiver-specific content, for 9 weeks, followed by post-assessment (questionnaires, diaries). Engagement was tracked by the SHUTi delivery system. RESULTS: Sixty caregivers completed SHUTi, 22 initiated but did not complete SHUTi, and 18 did not initiate SHUTi. Caregivers were more likely to use SHUTi (than not use SHUTi) when their care recipient (CR) had worse functioning, and were more likely to complete SHUTi when supporting more CR activities of daily living (ADL; ps < .03). Higher caregiver guilt, more CR problem behaviors, and being bedpartners with the CR related to more improved sleep outcomes, whereas supporting more CR instrumental ADL related to less improvement (ps < .05). CONCLUSIONS: Factors associated with greater caregiving burden, including greater CR impairment and caregiving guilt, were generally associated with better engagement and outcomes. Caregivers with substantial burdens can adhere to and benefit from a fully automated insomnia program without caregiver-specific tailoring.

This study examined how family caregivers, who often have trouble sleeping due to their responsibilities, used an online insomnia treatment program. The goal was to determine if certain aspects of caregiving would influence how caregivers engage with or benefit from the program. Researchers surveyed 100 caregivers with insomnia about their caregiving situation and sleep, and caregivers also kept online sleep diaries for 10 days. Afterward, caregivers used an online insomnia program with no caregiver-specific content called Sleep Healthy Using the Internet (SHUTi) for 9 weeks. Caregivers' usage was monitored, and they repeated measures of sleep outcomes and 10 online sleep diaries. Sixty caregivers completed SHUTi, 22 partially completed the program, and 18 did not initiate the program. Caregivers who cared for individuals with more severe functional limitations were more likely to use and complete SHUTi. Additionally, caregivers experiencing more guilt and those who managed more challenging behaviors from the person they cared for tended to report greater improvements in their sleep. This study suggests that caregivers, even those with significant care responsibilities, can use and benefit from an online insomnia treatment program like SHUTi, even when it has not been specifically tailored for caregivers.

Caregiver Experiences With an Internet-Delivered Insomnia Intervention: SHUTi-CARE Trial Primary Qualitative Analysis.

BACKGROUND: Digital health interventions show potential to increase caregivers' access to psychosocial care; however, it is unclear to what extent existing interventions may need to be tailored to meet caregivers' unique needs. PURPOSE: This study aimed to determine whether-and if so, how-an efficacious Internet-delivered insomnia program should be modified for caregivers. The generalizability of these findings beyond the tested program was also examined. METHODS: Higher-intensity family caregivers (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic White, 66% ≥college degree) received access to an Internet-based cognitive-behavioral therapy for insomnia (CBT-I) program. Participants who completed one or more intervention "Cores" provided open-ended feedback on their experience; nonusers (completed no Cores) shared their barriers. RESULTS: Most caregivers who used the program (n = 82, 82%) found it feasible, citing its user-friendly, fully automated online format. Many reported that CBT-I strategies were helpful, although some faced challenges in implementing these strategies due to the unpredictability of their caregiving responsibilities. Opinions were divided on the utility of tailoring the program for caregivers. Nonusers (n = 18, 18%) primarily cited concerns about time burden and lifestyle compatibility as usage barriers. CONCLUSIONS: Delivering fully automated behavioral interventions through the Internet appears suitable for many caregivers. Extensive tailoring may not be required for most caregivers to benefit from an existing online CBT-I program, although additional guidance on integrating CBT-I strategies in the context of challenging sleep schedules and environments may help a subset of caregivers. Future research should explore how such tailoring may enhance digital health intervention uptake and effectiveness for caregivers.

This study examined family caregivers' experiences using an online cognitive-behavioral therapy for insomnia program. The aim was to determine if the program needed changes to better fit caregivers' needs. Researchers gave 100 caregivers with insomnia access to Sleep Healthy Using the Internet (SHUTi), an online insomnia program that had no caregiver-specific tailoring. Of the 82 caregivers who used the program, most found the program easy to use and helpful, although some struggled with behavioral strategies because of their unpredictable caregiving duties. There was no clear consensus among caregivers on whether tailoring would be helpful. The 18 caregivers who did not use the program most commonly said that they did not have enough time to use the program or that they felt it would not work well with their lifestyle. Overall, findings suggest that providing interventions via the Internet is a good fit for many caregivers. Many caregivers benefitted from an online insomnia program without being tailored specifically for caregivers, although some additional guidance on how to follow behavioral strategies may be helpful to some caregivers.

Baccalaureate Nursing Students' Knowledge of and Attitudes Toward Older Adults.

Preparing nurses to care for a growing population of older adults is one of the most significant challenges for nursing education. The purpose of the current study was to describe baccalaureate nursing students' knowledge of and attitudes toward older adults, and explore the impact of a gerontological nursing course on their knowledge and attitudes. Results showed that students who had prior experience with older adults had significantly more positive attitudes toward them. Although students who participated in a gerontological nursing course had significantly higher knowledge scores than the comparison group, no significant difierence was noted in overall attitude. In addition, students who were enrolled in the gerontological nursing course or had prior experience with older adults were more likely to report plans to work with this population after graduation. Students who participated in interviews with older adults found the experience meaningful and their attitudes regarding older adults were largely positive.

The relationship between social support and sleep quality in older adults: A review of the evidence.

OBJECTIVES: Sleep quality is crucial for the health and well-being of older adults, and social support has been consistently shown to be related to sleep quality. However, there is a need for research to understand the mechanisms through which these two factors are linked. The purpose of this review is to synthesize scientific literature on the relationship between social support and sleep quality in older adults. METHODS: Using an integrative review method, this review was conducted for a period from January 2012 to November 2022 using a combination of keywords related to social support and sleep quality in older adults. RESULTS: A total of 21 studies that met the inclusion criteria were included. Social support was found to have a positive relationship with subjective and objective sleep quality. It may act as both a mediator between insomnia and hopelessness and a moderator buffering the influence of rumination and negative emotions on sleep quality. CONCLUSION: This review provides evidence for the positive relationship between social support and sleep quality in older adults. Based on the findings of this review, healthcare professionals should prioritize incorporating assessments of social support and implementing interventions aimed at enhancing social support in older adults to improve their sleep quality.

Interrelationship of Sleep Disturbances and Cognitive Status on Mortality.

Sleep disturbances may promote the development and advancement of Alzheimer's disease. Our purpose was to determine if sleep disturbances were associated with earlier mortality while accounting for cognition. The National Alzheimer's Coordinating Center database was used to evaluate mortality risk conferred by sleep, and the Montreal Cognitive Assessment score determined cognitive status. Demographics, sleep disturbances, cognitive status, and comorbid/other neuropsychiatric conditions were examined as predictors of survival time via Cox regression. The sample (N = 31,110) had a median age [interquartile range] of 72 [66, 79] years, MoCA score of 23 [16, 26], and survival time of 106.0 months [104.0,108.0]; 10,278 (33%) died during follow-up; 21% (n = 6461) experienced sleep disturbances. Sleep disturbances impacted survival time depending on cognition, with the greatest effect in transition from normal to cognitive impairment (P < .001). Findings support that sleep disturbances negatively impact survival time, and the impact of sleep disturbances on survival time is interrelated with cognition.

Sleep and Caregiver Burden Among Caregivers of Persons Living With Dementia: A Scoping Review.

Background and Objectives: Caregivers of persons with dementia report worse sleep when compared to the general population. The objective of this review was to synthesize evidence regarding the link between caregiver burden and dementia caregivers' sleep. Research Design and Methods: We conducted a scoping review using a systematic search for pertinent literature in PubMed, CINAHL, and Web of Science through March 2022. Keywords included content areas of dementia, caregiver burden, and sleep. Inclusion criteria were informal caregivers of persons living with dementia, a measured relationship between informal dementia caregiver sleep and subjective caregiver burden variables, and original research. Non-English studies were excluded. Extracted data were organized in tables, compared, and synthesized. Results: The search yielded 540 nonduplicate articles screened by title and abstract; 118 full-text articles were reviewed; 24 were included. Most studies were cross-sectional, with variable sample sizes. Dementia caregivers had significantly poorer overall perceived sleep than noncaregivers across 4 studies that examined self-reported sleep measures. Eighteen studies investigated the association between caregiver burden and self-reported sleep quality, with 14 reporting a significant positive association between caregiver burden and self-reported sleep quality, and 4 finding null results. Only 2 of the 4 studies reporting the association between caregiver burden and objective sleep parameters (ie, actigraphy and polysomnography) reported a significant positive association for at least one sleep subdomain. Discussion and Implications: Although subjective sleep quality is commonly affected by dementia caregiving burden, there is a lack of corresponding evidence on the relationship between burden and objective sleep metrics. Healthcare providers should consider the dementia caregiver burden's impact on sleep and regularly assess caregivers' sleep difficulties. Future studies should focus on consistently measuring caregiver burden and sleep to promote dementia caregiver health and well-being.

Association of Seizure Control With Cognition in People With Normal Cognition and Mild Cognitive Impairment.

BACKGROUND AND OBJECTIVES: Seizures are common in dementia and associated with accelerated cognitive decline. However, the impact of active vs remote seizures on cognition remains understudied. This study aimed to investigate the impact of active vs remote seizures on cognition in people with normal cognition and mild cognitive impairment (MCI). METHODS: This longitudinal, multicenter cohort is based on National Alzheimer's Coordinating Center data of participants recruited from 39 Alzheimer's Disease Centers in the United States from September 2005 to December 2021. All participants with normal cognition and MCI and at least 2 visits were included. Primary outcome, that is, cognitive decline, was determined using Clinical Dementia Rating (CDR) from (1) normal-to-impaired (CDR ≥0.5) and (2) MCI-to-dementia (CDR ≥1) groups. The effect of active seizures (over the preceding 12 months), remote seizures (previous seizures but none over the preceding 12 months), and no seizures (controls) on cognition was assessed. Subgroups of chronic seizures at enrollment and new-onset seizures were further analyzed. Cox regression models assessed the risk of all-cause MCI and/or dementia. All models were adjusted for age, sex, education, race, hypertension, and diabetes. RESULTS: Of the 13,726 participants with normal cognition at enrollment (9,002 [66%] female; median age 71 years), 118 had active seizures and 226 had remote seizures. Of the 11,372 participants with MCI at enrollment (5,605 [49%] female; median age 73 years), 197 had active seizures and 226 had remote seizures. Active seizures were associated with 2.1 times higher risk of cognitive impairment (adjusted hazard ratio [aHR] 2.13, 95% CI 1.60-2.84, p < 0.001) in cognitively healthy adults (median years to decline: active seizures = ∼1, remote seizures = ∼3, no seizures = ∼3) and 1.6 times higher risk of dementia (aHR 1.58, 95% CI 1.24-2.01, p < 0.001) in those with MCI (median years to decline: active seizures = ∼1, remote seizures = ∼2, controls = ∼2). This risk was not observed with remote seizures. DISCUSSION: In this study, active seizures but not remote seizures were associated with earlier cognitive decline in both cognitively normal adults and those with MCI, independent of other dementia risk factors. Therefore, early identification and management of seizures may present a path to mitigation of cognitive decline in the aging epileptic population. A limitation is that causality cannot be confirmed in our observational longitudinal study.

Investigation of Expectations and Satisfaction After Sinus Surgery for Chronic Rhinosinusitis.

OBJECTIVE: To perform the first mixed-methods analysis of patient expectations and satisfaction after endoscopic sinus surgery (ESS). METHODS: Semi-structured interviews of subjects undergoing ESS were performed to understand pre-operative expectations and 6-month post-operative satisfaction. Descriptive statistics, logistic regression, and mediation analyses were performed. Quantitative questions were followed by qualitative probes for subjects to expand on quantitative answers. Study sample size was determined by thematic saturation based on qualitative responses. Data visualization was used to triangulate quantitative and qualitative data wherein themes emerged. RESULTS: A total of 52 participants were included in the mixed-method analysis, and 110 were included in the mediation analysis. 56% of participants were male, with an average age of 55.7 (SD ± 2.18). Mean change in SNOT-22 was 20.8 (SD ± 3.74), and 25% of participants did not achieve a minimal clinically important difference (MCID). Of the participants who did not achieve MCID, 79% would still choose to have sinus surgery again. Qualitative interviews revealed multiple preliminary categories describing the patient experience with ESS. Regression analysis showed that the most important predictor of satisfaction was whether pre-operative expectations were met (OR = 3.8, p < 0.001). In mediation analysis, the effect of the clinical outcome on patient satisfaction was completely mediated by pre-operative expectations (indirect effect p = 0.009, direct effect p = 0.17). CONCLUSION: Patient expectations and satisfaction are important yet understudied measures in CRS and ESS. In ESS, satisfaction with outcome is driven by the fulfillment of pre-operative expectations. Aligning such expectations is the most important intervention a sinus surgeon can perform to maximize success. LEVEL OF EVIDENCE: 4 Laryngoscope, 2024.

Sleep Disturbances Predict Cognitive Decline in Cognitively Healthy Adults.

BACKGROUND: The effect of nighttime behaviors on cognition has not been studied independently from other neuropsychiatric symptoms. OBJECTIVE: We evaluate the following hypotheses that sleep disturbances bring increased risk of earlier cognitive impairment, and more importantly that the effect of sleep disturbances is independent from other neuropsychiatric symptoms that may herald dementia. METHODS: We used the National Alzheimer's Coordinating Center database to evaluate the relationship between Neuropsychiatric Inventory Questionnaire (NPI-Q) determined nighttime behaviors which served as surrogate for sleep disturbances and cognitive impairment. Montreal Cognitive Assessment scores defined two groups: conversion from 1) normal to mild cognitive impairment (MCI) and 2) MCI to dementia. The effect of nighttime behaviors at initial visit and covariates of age, sex, education, race, and other neuropsychiatric symptoms (NPI-Q), on conversion risk were analyzed using Cox regression. RESULTS: Nighttime behaviors predicted earlier conversion time from normal cognition to MCI (hazard ratio (HR): 1.09; 95% CI: [1.00, 1.48], p = 0.048) but were not associated with MCI to dementia conversion (HR: 1.01; [0.92, 1.10], p = 0.856). In both groups, older age, female sex, lower education, and neuropsychiatric burden increased conversion risk. CONCLUSION: Our findings suggest that sleep disturbances predict earlier cognitive decline independently from other neuropsychiatric symptoms that may herald dementia.

Shared decision-making in persons living with dementia: A scoping review.

Evidence supports that older adults with cognitive impairment can reliably communicate their values and choices, even as cognition may decline. Shared decision-making, including the patient, family members, and healthcare providers, is critical to patient-centered care. The aim of this scoping review was to synthesize what is known about shared decision-making in persons living with dementia. A scoping review was completed in PubMed, CINAHL, and Web of Science. Keywords included content areas of dementia and shared decision-making. Inclusion criteria were as follows: description of shared or cooperative decision making, cognitively impaired patient population, adult patient, and original research. Review articles were excluded, as well as those for which the formal healthcare provider was the only team member involved in the decision-making (e.g., physician), and/or the patient sample was not cognitively impaired. Systematically extracted data were organized in a table, compared, and synthesized. The search yielded 263 non-duplicate articles that were screened by title and abstract. Ninety-three articles remained, and the full text was reviewed; 32 articles were eligible for this review. Studies were from across Europe (n = 23), North America (n = 7), and Australia (n = 2). The majority of the articles used a qualitative study design, and 10 used a quantitative study design. Categories of similar shared decision-making topics emerged, including health promotion, end-of-life, advanced care planning, and housing decisions. The majority of articles focused on shared decision-making regarding health promotion for the patient (n = 16). Findings illustrate that shared decision-making requires deliberate effort and is preferred among family members, healthcare providers, and patients with dementia. Future research should include more robust efficacy testing of decision-making tools, incorporation of evidence-based shared decisionmaking approaches based on cognitive status/diagnosis, and consideration of geographical/cultural differences in healthcare delivery systems.

Older adults can use technology: why healthcare professionals must overcome ageism in digital health.

Older adults rapidly adopted technology for healthcare, known as digital health, during the COVID-19 pandemic. Older adults are increasingly using telehealth, smartphone apps, and other digital health technologies to reduce barriers to care, maintain patient-provider communication, and promote disease self-management. Yet, many healthcare professionals have maintained outdated beliefs rooted in societal ageism that digital health and older adults are incompatible. As a result, older adults have been disproportionally excluded from health services and clinical trials that use digital health relative to their younger counterparts. In this commentary, we urge all healthcare disciplines to challenge ageist beliefs and practices that have contributed to the "digital health divide" among older patients. We provide examples of evidence-based strategies and current scientific initiatives that can promote digital health inclusion in research, clinical practice, and training. By achieving digital health inclusion, we can increase access, provide preventative and comprehensive care, and decrease healthcare costs for older patients.

The use of technology among older adults (age ≥ 65) increased during the COVID-19 pandemic. Many older adults are using computers, smartphones, wearable devices, and other technologies for healthcare purposes, known as "digital health". Digital health is valuable for older patients because it eliminates barriers to treatments, such as cost, travel, and access to doctors. Yet, many professionals in healthcare believe that their older patients are unwilling or unable to use digital health. We believe that these harmful beliefs are explained by ageism that is deeply rooted in our society (e.g., "you can't teach an old dog new tricks"). Clinicians do not receive training to teach older patients new technology. In research, technology is developed for younger patients because older adults are excluded from studies. As a result, older adults are getting left behind in our increasingly technical healthcare system. The goal of this article is to raise our colleagues' awareness to this problem and to support older adults' use of digital health. We provide solutions for researchers, clinicians, and educators. A growing number of older adults recognize the potential of digital health and time for healthcare professionals to join them.

Sleep Disturbances, Cognitive Status, and Biomarkers of Dementia.

BACKGROUND: While sleep disturbances appear to be risk factors in Alzheimer's disease (AD) progression, information such as the prevalence across dementia severity and the influence on the trajectory of cognitive decline is unclear. OBJECTIVE: We evaluate the hypotheses that the prevalence of insomnia differs by cognitive impairment, that sleep disturbances track with AD biomarkers, and that longitudinal changes in sleep disorders affect cognition. METHODS: We used the National Alzheimer's Coordinating Center Database to determine the prevalence of clinician-identified insomnia and nighttime behaviors in normal, mild cognitive impairment (MCI), and demented individuals. We evaluated mean Montreal Cognitive Assessment (MoCA) scores, hippocampal volumes (HV), and CSF phosphorylated tau:amyloid-ß ratios at first visit using analysis of variance with age as a covariate. In longitudinal evaluations, we assessed changes in MoCA scores and HV in insomnia and nighttime behaviors between the first and last visits. RESULTS: Prevalence of insomnia was 14%, 16%, and 11% for normal, MCI, and dementia groups. Prevalence of nighttime behaviors was 14%, 21%, and 29% respectively. Insomnia patients had higher MoCA scores, larger HV, and lower pTauBeta than individuals without insomnia, indicating less neurodegeneration. In contrast, nighttime behaviors were associated with worse cognition, smaller HV, and higher pTauBeta. Similar findings were seen between longitudinal associations of sleep disorders and cognition and HV. CONCLUSION: Our findings suggest that insomnia is unreliably recognized in patients with cognitive impairment. Nighttime behaviors may better indicate the presence of sleep disturbances and have diagnostic specificity in AD over insomnia.

Single-Group Trial of an Internet-Delivered Insomnia Intervention Among Higher-Intensity Family Caregivers: Rationale and Protocol for a Mixed Methods Study.

BACKGROUND: Family caregivers are more likely to experience insomnia relative to noncaregivers but have significant barriers to accessing gold standard cognitive behavioral therapy for insomnia treatment. Delivering interventions to caregivers through the internet may help increase access to care, particularly among higher-intensity caregivers who provide assistance with multiple care tasks over many hours per week. Although there are existing internet interventions that have been thoroughly studied and demonstrated as effective in the general population, the extent to which these interventions may be effective for caregivers without tailoring to address this population's unique psychosocial needs has not been studied. OBJECTIVE: The goal of this trial is to determine what tailoring may be necessary for which caregivers to ensure they receive optimal benefit from an existing evidence-based, internet-delivered cognitive behavioral therapy for insomnia program named Sleep Healthy Using the Internet (SHUTi). Specifically, we will test the association between caregivers' engagement with SHUTi and their caregiving context characteristics (ie, caregiving strain, self-efficacy, and guilt) and environment (ie, proximity to care recipient; functional status, cognitive status, and problem behavior of care recipient; and type of care provided). Among caregivers using the program, we will also test the associations between change in known treatment mechanisms (sleep beliefs and sleep locus of control) and caregiving context factors. METHODS: A total of 100 higher-intensity caregivers with significant insomnia symptoms will be recruited from across the United States to receive access to SHUTi in an open-label trial with mixed methods preassessments and postassessments. At postassessment (9 weeks following preassessment completion), participants will be categorized according to their engagement with the program (nonusers, incomplete users, or complete users). Study analyses will address 3 specific aims: to examine the association between caregivers' engagement with SHUTi and their caregiving context (aim 1a); to describe caregivers' barriers to and motivations for SHUTi engagement from open-ended survey responses (aim 1b); and among caregivers using SHUTi, to determine whether cognitive mechanisms of change targeted by SHUTi are associated with differences in caregiving context (aim 2). RESULTS: Institutional review board approvals have been received. Data collection is anticipated to begin in December 2021 and is expected to be completed in 2023. CONCLUSIONS: Findings will inform the next research steps for tailoring and testing SHUTi for optimal impact and reach among caregivers. Beyond implication to the SHUTi program, the findings will be translatable across intervention programs and will hold significant promise to reduce inefficiencies in developing digital health interventions for caregivers while also increasing their impact and reach for this underserved population. TRIAL REGISTRATION: ClinicalTrials.gov; NCT04986904; https://clinicaltrials.gov/ct2/show/NCT04986904?term=NCT04986904. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/34792.

A Review of Insomnia Treatments for Patients with Mild Cognitive Impairment.

Mild cognitive impairment (MCI) impacts approximately 20% of older adults, with many also experiencing sleep disorders, such as insomnia. Given the relationship between sleep and dementia, addressing sleep issues may offer an opportunity to treat reversible causes. There are two primary treatments for insomnia: behavioral-based (cognitive behavioral therapy for insomnia, CBT-I) and pharmacological interventions. Although CBT-I is recommended as first-line treatment for insomnia in older adults, sedative-hypnotics are more likely to be recommended than non-pharmacological treatments given their convenience and accessibility. However, there are significant concerns in prescribing medications to patients with MCI. To explore this disconnect, we reviewed insomnia treatments in older adults with MCI studies and current guidelines of pharmacological therapy. First, we reviewed studies presenting non-pharmacological treatment of insomnia in older adults with MCI. Although the search yielded over 4,000 non-duplicate titles, only one article presented data on non-pharmacological treatment of insomnia in MCI. The literature covering comorbid insomnia, CBT-I, and MCI is sparse. In contrast to review of non-pharmacological studies, studies on the pharmacological treatment of insomnia in older adults were ample. Finally, we reviewed international guidelines for pharmacological treatment of insomnia in cognitive disorders. More widely used pharmacological interventions show short-term effectiveness with problems of recurrence, ineffectiveness in inadvertent or purposeful chronic use, and adverse side effects. Despite evidence regarding adverse consequences, pharmacological treatment of insomnia remains the most common treatment for insomnia. Reflecting on age-related changes in older adults, particularly those with MCI, inappropriate or mismanagement of medication can lead to unnecessary complications. Further research examining effective behavioral-based sleep management options in older adults with cognitive impairment is needed with exploration of improved sleep on cognitive function.

Feasibility and Preliminary Efficacy of an Internet-Delivered Intervention for Insomnia in Individuals with Mild Cognitive Impairment.

BACKGROUND: Approximately 50% of older adults with cognitive impairment suffer from insomnia. When untreated, pre-existing cognitive problems may be exacerbated and potentially contribute to further cognitive decline. One promising approach to maintain cognitive health is to improve sleep quantity and quality. OBJECTIVE: To determine feasibility, acceptability, and preliminary efficacy of Sleep Health Using the Internet for Older Adult Sufferers of Insomnia and Sleeplessness (SHUTi OASIS), an Internet-delivered cognitive behavioral therapy for insomnia (CBT-I) program in older adults with mild cognitive impairment (MCI). METHODS: Older adults with MCI and insomnia were recruited from hospital-based memory and sleep disorders clinics and enrolled in a single-arm pilot study. Participants completed the six cores of SHUTi OASIS, over nine weeks with two-week baseline and post-assessments using self-reported sleep diaries. Feasibility and acceptability were informed by usage statistics and qualitative interviews; preliminary efficacy was informed by patient-generated sleep data. RESULTS: Twelve participants enrolled and, on average, were 75.8 years of age. Ten participants completed the study and logged in most days. Most participants reported a positive overall experience, and interviews revealed successful and independent program management and completion. There were significant changes on all baseline to post-assessment sleep measures, including clinically meaningful improvements on the Insomnia Severity Index (13.5 to 8.3, p < 0.01), sleep efficiency, wake after sleep onset, and sleep onset latency (ps < 0.02). There was no statistically significant change in cognitive measures (p > 0.05). CONCLUSION: This study supports that older adults with cognitive impairment can independently complete CBT-I via the Internet and achieve clinical sleep improvements.

Research Data Disclosure in the Digital Age.

New advances in digital technologies and data-collection methods support expansion of the traditional research model in the current Digital Age. As researchers continue to explore ways to collect, manage, and share individual-level research study data, investigators must also acknowledge new ethical considerations that arise. To ensure protection of research participants, participants must remain a priority across the research continuum by researchers, institutional review boards, funding agencies, and consumers. Big data and data sharing also require additional investments and oversight to ensure proper management and, and even more important, protection of human subjects.

Perceived Social Determinants of Health Among Older, Rural-Dwelling Adults with Early-Stage Cognitive Impairment.

Limited access to resources and delayed detection of subtle cognitive changes may negatively impact the long-term cognitive health of rural-dwelling adults. This study explored perceived social determinants of health among older, rural-dwelling adults with early-stage cognitive impairment. Semi-structured interviews were conducted with older, rural-dwelling adults with early-stage cognitive impairment and their care partners. Thematic content analysis was performed. Participants ( n = 9) were 73.7 ± 6.0 years of age with 14.2 ± 3.1 years of education; care partners ( n = 10) were 70.9 ± 7.4 years of age with 15.6 ± 2.3 years of education. Data analysis revealed six themes: Staying active, Eating well, Living with cognitive changes, Living rural, Connecting with neighbors and community, and Relying on children. Dyads' depictions of perceived social determinants of health focused on the adoption of a healthy lifestyle, description of relationships, and advantages of living in a rural area. Emergent themes may be used to promote adoption of self-management and prevention behaviors, particularly lifestyle changes.

Research Use of Ecological Momentary Assessment for Adverse Event Monitoring Following Amyloid-ß Results Disclosure.

As calls for transparency in human subjects research grow, investigators conducting Alzheimer's disease (AD) biomarker research are increasingly required to consider their ethical obligations regarding the return of AD biomarker test results to research participants. When disclosing these test results to potentially vulnerable participants, investigators may face unique challenges to identify adverse events, particularly psychological events. The purpose of this paper is to describe our research team's experience with developing and implementing a process for enhanced adverse event monitoring following the return of amyloid-ß (Aß) imaging results to research participants with mild cognitive impairment (MCI). Ethical and logistical considerations are presented along with preliminary findings from an ongoing randomized controlled trial of Aß imaging results disclosure in MCI. Following receipt of amyloid imaging results, participants underwent 14 days of adverse event monitoring using ecological momentary assessment (EMA), a strategy to capture health, behaviors, and mood as they occur in participants' natural settings in real time. EMA telephone calls were placed at random during waking hours to screen for mood changes. Investigators were alerted for positive depression, anxiety, suicidal ideation screenings, or for two days of failed call attempts. Preliminary feasibility of twenty-four participants with MCI who participated in EMA mood assessments was successfully completed 83% (SD = 0.4) of the time over 14 days with no alerts for anxiety or depression screening items. EMA, when used with standard adverse event monitoring, is a promising and novel approach to maximize early detection of negative psychological reactions following AD biomarker results disclosed in research settings.

Experiences Surrounding an Early-Stage Cognitive Diagnosis in Rural-Dwelling Older Adults.

Misdiagnosis, lack of specialists, and patient dismissal of symptoms can contribute to delayed detection of early cognitive impairment. Understanding patient perspectives during and around time of cognitive diagnosis is crucial, as reactions to diagnosis can impact disease management and overall health. The current study conducted semi-structured interviews to explore the experiences of rural-dwelling older adults (n = 9) and their caregivers (n = 10) surrounding diagnosis of mild cognitive impairment or early-stage Alzheimer's disease at a specialty research center (SRC). Content analysis was performed. Overall, researchers found that older adult participants experienced various cognitive symptoms pre-diagnosis and dyads experienced diagnostic uncertainty prior to the SRC visit. All individuals displayed a range of reactive and information-seeking actions. Nurses play significant roles in the diagnostic and post-diagnostic periods for patients with early-stage cognitive impairment, and clinical diagnostic expertise, appropriate and timely direction of resources, and identification and targeting of early interventions to promote cognitive health are particularly important to this underserved population. [Res Gerontol Nurs. 2018; 11(4):181-189.].

Group-Based Trajectory Analysis of Physical Activity Change in a US Weight Loss Intervention.

BACKGROUND: The obesity epidemic is a global concern. Standard behavioral treatment including increased physical activity, reduced energy intake, and behavioral change counseling is an effective lifestyle intervention for weight loss. PURPOSE: To identify distinct step count patterns among weight loss intervention participants, examine weight loss differences by trajectory group, and examine baseline factors associated with trajectory group membership. METHODS: Both groups received group-based standard behavioral treatment while the experimental group received up to 30 additional, one-on-one self-efficacy enhancement sessions. Data were analyzed using group-based trajectory modeling, analysis of variance, chi-square tests, and multinomial logistic regression. RESULTS: Participants (N = 120) were mostly female (81.8%) and white (73.6%) with a mean (SD) body mass index of 33.2 (3.8) kg/m2. Four step count trajectory groups were identified: active (>10,000 steps/day; 11.7%), somewhat active (7500-10,000 steps/day; 28.3%), low active (5000-7500 steps/day; 27.5%), and sedentary (<5000 steps/day; 32.5%). Percent weight loss at 12 months increased incrementally by trajectory group (5.1% [5.7%], 7.8% [6.9%], 8.0% [7.4%], and 13.63% [7.0%], respectively; P = .001). At baseline, lower body mass index and higher perceived health predicted membership in the better performing trajectory groups. CONCLUSIONS: Within a larger group of adults in a weight loss intervention, 4 distinct trajectory groups were identified and group membership was associated with differential weight loss.