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.

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.

Factors associated with reduced sleep among spouses and caregivers of older adults with varying levels of cognitive decline.

BACKGROUND: Caregivers of persons with cognitive decline (PWCD) are at increased risk of poor sleep quantity and quality. It is unclear whether this is due to factors in the caregiver versus in the PWCD. METHODS: This secondary data analysis using Aging, Demographics, and Memory Study data from the Health Retirement Study examined factors contributing to reduced sleep/rest among spouses and caregivers of older adults with varying levels of cognitive decline (cognitively normal (CN), cognitive impairment but not dementia (CIND), or dementia). RESULTS: In our preliminary analysis, among N = 218 spouses (not necessarily caregivers) (mean age (SD) = 73.77 (7.30); 70.64% female) of older adults with varying levels of cognitive decline, regression revealed that frequency of sleep complaints was lowest among spouses with CN partners, second highest with CIND partners, and highest with dementia-partners, X2 = 26.810, P = 0.002. PRIMARY AIM: among n = 136 caregivers of PWCD (mean age (SD) = 59.27 (13.97); 74.26% female; 22.79% spouses), we analyzed whether caregiver reduced sleep/rest was predicted by PWCD factors (i.e., frequent nighttime waking, dementia severity) and/or caregiver factors (i.e., depression symptoms, caregiver role overload). Regression revealed that caregiver depression symptoms (d = 0.62) and role overload (d = 0.88), but not PWCD factors, were associated with reduced caregiver sleep/rest after adjusting for demographic factors, caregiving frequency, and shared-dwelling status (overall model: X2 = 31.876, P = 0.002). Exploratory analyses revealed that a caregiver was 7.901 times more likely (95% CI: 0.99-63.15) to endorse experiencing reduced sleep/rest if back-up care was not available (P = 0.023). CONCLUSION: Findings highlight that the frequency of reported sleep problems among spouses increases in a stepwise fashion when partners have dementia versus CIND versus CN. The results also emphasise that caregiver mental health and burden are strongly associated with caregiver sleep disturbances and thus may be targets of intervention for caregiver sleep problems.

Patterns of sleep disturbances across stages of cognitive decline.

OBJECTIVES: The purpose of this study was to investigate insomnia symptoms and excessive sleep/sluggishness across stages of cognitive decline (cognitively normal [CN], Cognitively Impairment, Not Demented [CIND], dementia) in a large, racially/ethnically diverse sample of older adults (70+) in the US. We also examined whether sleep disturbances at baseline predicted conversion to CIND or dementia at follow-up. METHODS: In this secondary analysis of the Aging, Demographics, and Memory Study (ADAMS) supplement of the Health Retirement Study, we analyzed patterns of informant-reported insomnia and excessive sleep symptoms among three groups of older adults (n = 846): CN, CIND, and dementia. RESULTS: CIND adults were significantly more likely to have informant-reported insomnia symptoms than those in the CN group (p = 0.013). This was driven by a significant race/ethnicity-by-insomnia interaction with diagnostic status (p = 0.029), such that CIND Black and Hispanic older adults had increased insomnia symptom rates compared to CN, whereas White adults had similar insomnia symptoms across diagnostic status. Across all racial/ethnic groups, the prevalence of excessive sleep symptoms increased stepwise from CN to CIND to dementia (p < 0.001). Overall, insomnia symptoms at baseline predicted conversion from CN to CIND (p < 0.001, OR = 0.288; 95% CI: 0.143-0.580) at 4-year (approximate) follow-up; there was no relationship between baseline insomnia or excessive sleep/sluggishness symptoms and conversion from CIND to dementia. DISCUSSION/CONCLUSION: This study provides evidence for the increased risk of insomnia symptoms among Hispanic and Black older adults with CIND, and indicates that insomnia symptoms may be associated with increased risk for development of cognitive impairment.

Nurse-led pre-test counseling for Alzheimer's disease biomarker testing: Knowledge and skills required to meet the needs of patients and families.

INTRODUCTION: Biomarker testing for Alzheimer's disease and related disorders (ADRD) brings new opportunities for nurses to foster shared decision-making by leading pre-test counseling (PTC) for patients and families. METHODS: Audio-recordings of 18 nurse-led PTC sessions were analyzed to characterize questions posed by patient and family members dyads considering whether to pursue amyloid positron emission tomography. RESULTS: Sessions lasted 20 to 75 minutes and generated rich discussion of the purpose and potential implications of amyloid imaging. Dyads posed questions regarding: basic neuroanatomy; the spectrum of normal cognitive aging to dementia; clinical phenotypes and pathological hallmarks of ADRD; secondary prevention of ADRD; and advance planning. In response, PTC facilitators provided disease-specific education, clarification of overt misconceptions, caregiver support, and emotion de-escalation. CONCLUSION: Nurses conducting PTC for AD biomarker testing should be equipped to answer questions about topics both directly and indirectly related to testing, and also provide emotional support.

Effects of an internet-delivered insomnia intervention for older adults: A secondary analysis on symptoms of depression and anxiety.

OBJECTIVE: To test whether an Internet-delivered cognitive behavioral therapy for insomnia (CBT-I) program for older adults attenuates symptoms of depression and anxiety. METHODS: Adults aged ≥ 55 with insomnia were randomized to SHUTi-OASIS (Sleep Healthy Using the Internet for Older Adult Sufferers of Insomnia and Sleeplessness; N = 207) or Patient Education (PE; N = 104). Depression and anxiety were assessed (HADS-D and HADS-A, respectively) at baseline, post-assessment, and 6- and 12-month follow-ups. RESULTS: Multilevel modeling of HADS-D showed a condition by time interaction (F[3,779] = 3.23, p = .02): SHUTi-OASIS participants reported lower symptoms than PE at post-assessment. There was no such interaction effect for HADS-A (F[3,779] = 2.12, p = .10). Generalized linear modeling showed no moderation of effects by baseline symptom severity. CONCLUSIONS: Participants randomized to Internet-delivered CBT-I showed stable depression and anxiety across time, while control participants' depressive symptoms briefly increased. CBT-I may help prevent development or worsening of psychological distress among older adults with insomnia. TRIAL REGISTRATION: [Registered at ClinicalTrials.gov; identifier removed for anonymity].

Nightly Variation in Sleep Influences Self-efficacy for Adhering to a Healthy Lifestyle: A Prospective Study.

BACKGROUND: Self-efficacy, or the perceived capability to engage in a behavior, has been shown to play an important role in adhering to weight loss treatment. Given that adherence is extremely important for successful weight loss outcomes and that sleep and self-efficacy are modifiable factors in this relationship, we examined the association between sleep and self-efficacy for adhering to the daily plan. Investigators examined whether various dimensions of sleep were associated with self-efficacy for adhering to the daily recommended lifestyle plan among participants (N = 150) in a 12-month weight loss study. METHOD: This study was a secondary analysis of data from a 12-month prospective observational study that included a standard behavioral weight loss intervention. Daily assessments at the beginning of day (BOD) of self-efficacy and the previous night's sleep were collected in real-time using ecological momentary assessment. RESULTS: The analysis included 44,613 BOD assessments. On average, participants reported sleeping for 6.93 ± 1.28 h, reported 1.56 ± 3.54 awakenings, and gave low ratings for trouble sleeping (3.11 ± 2.58; 0: no trouble; 10: a lot of trouble) and mid-high ratings for sleep quality (6.45 ± 2.09; 0: poor; 10: excellent). Participants woke up feeling tired 41.7% of the time. Using linear mixed effects modeling, a better rating in each sleep dimension was associated with higher self-efficacy the following day (all p values < .001). CONCLUSION: Our findings supported the hypothesis that better sleep would be associated with higher levels of reported self-efficacy for adhering to the healthy lifestyle plan.

The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

BACKGROUND: Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake. OBJECTIVE: The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake. METHODS: This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m²) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline. RESULTS: Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (-22.8% vs -14.0%; P = .02) and saturated fat (-11.3% vs -0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (-10.4% vs -4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05). CONCLUSION: Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.

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.

The impact of forced awakening on morning blood pressure surge.

BACKGROUND: Poor sleep quality can cause an increase in morning blood pressure surge (MBPS), an independent risk factor of cardiovascular disease (CVD) events. Awakening induced by external factors such as alarm clocks, may also contribute to increased MBPS. OBJECTIVES: To (1) compare the MBPS and sleep quality parameters between natural and forced awakenings and (2) examine the potential impact of forced awakening on MBPS, independent of sleep quality. METHODS: Thirty-two healthy adults participated in this pilot study, which included one night of natural awakening and one night of forced awakening (i.e., sleep was interrupted by an alarm after five hours). Objective and self-reported sleep quality parameters were measured using a multisensory wristband and sleep diaries, respectively, and beat-to-beat blood pressure variability was assessed using a continuous blood pressure monitor. Analyses included a paired t-test (objective 1) and linear mixed models (objective 2). RESULTS: Participants predominantly consisted of young, healthy, and highly educated Asian adults. During the night of sleep with forced awakening, significantly higher MBPS, lower objective wakefulness after sleep onset, and lower self-reported sleep latency were observed, compared to the night with natural awakening. Forced awakening was significantly associated with increased MBPS after controlling for age, sex, mean arterial pressure, and sleep quality. CONCLUSIONS: Forced awakening may significantly increase MBPS, consequently heightening the risk of CVD events. Study findings should be validated in a larger sample. Further research is also warranted to examine the impact of forced awakening on MBPS in individuals with CVD.

Psychological distress, forced awakening, and morning blood pressure surge.

BACKGROUND: Morning blood pressure surge (MBPS) has been recognized as an independent predictor of cardiovascular disease events. Psychological distress, including anxiety, depression, and perceived stress, and behavioral risk factors, such as poor sleep quality, have been associated with increased MBPS. Elevations in sympathetic activity induced by forced awakening may also contribute to further increases in MBPS. Yet, no examination of the interrelationships among psychological distress, sleep quality, awakening mode (natural vs. forced awakenings), and MBPS has been undertaken. OBJECTIVE: This pilot study aimed: (1) to examine if MBPS differs by awakening mode and (2) to investigate whether psychological distress is associated with MBPS difference between natural and forced awakenings, independent of sleep quality. METHODS: Thirty-two healthy adults were included in this cross-sectional study. Blood pressure was measured using a beat-to-beat blood pressure monitor over two nights, consisting of one night of natural awakening and one night of forced awakening. Psychological distress and sleep quality were assessed using questionnaires. We conducted paired t-tests (aim 1) and multiple linear regressions (aim 2). RESULTS: MBPS was significantly greater during forced awakening compared with natural awakening. In addition, the MBPS difference between natural and forced awakenings was significantly greater in participants with higher anxiety levels, independent of sleep quality. CONCLUSION: We found that augmentation of MBPS by forced awakening was significantly greater in individuals who reported higher anxiety levels. Additional research is needed to examine the potential impacts of forced awakening and anxiety on MBPS in a larger sample of individuals at risk for cardiovascular disease.

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.

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.

Factors associated with quality of life in older adults in the United States.

PURPOSE: According to the World Health Organization, quality of life (QOL) includes physical and mental health, emotional well-being, and social functioning. Using an adaptation of Andersen's behavioral model, we examined the associations between the three dimensions of QOL and needs and health behaviors in a nationally representative sample of adults 65 years and older. METHODS: A representative sample from the 2005-2006 National Health and Nutrition Examination Survey (NHANES) was used. NHANES over-samples persons 60 years and older, African Americans, and Hispanics. Frequencies and distribution patterns were assessed, followed by bivariate and multiple regression analyses. RESULTS: These older adults reported high levels of QOL. However, associations between needs and health behaviors and QOL varied across dimensions. Activities of daily living (ADL) were associated with all three dimensions. Depression was associated with two dimensions and memory problems with one dimension. Physical activity was linked to social functioning, and health care utilization was linked to emotional well-being. CONCLUSIONS: The differences in associations with different dimensions of QOL confirm that this is a multidimensional concept. Since depression, memory problems, and ADL function were all associated with some dimension of QOL, future interventions to improve QOL in older adults should include screening and treatment for these problems.

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.

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.

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.