National Estimates of Incremental Work Absenteeism Costs Associated With Adult Children of Parents With Alzheimer's Disease and Related Dementias.

OBJECTIVE: More than half of primary caregivers for ADRD patients are adult children, yet there is little empirical evidence on how caring for parents with ADRD affects their employment. Using a nationally representative dataset, this study aimed to estimate incremental work absenteeism costs for adult children of parents with ADRD. DESIGN, SETTING, AND PARTICIPANTS: The study used the data from the 2015-2021 Medical Expenditure Panel Survey (MEPS). Multivariate regressions and two-part models were employed to estimate the incremental work absenteeism costs among adult children aged 40 to 64 who had at least one parent diagnosed with ADRD, compared with those who did not have ADRD parents. MEASUREMENTS: The incremental work absenteeism costs due to caregiving for adult children with ADRD parents was a cumulated estimation of labor productivity cost at three stages: (1) the likelihood of not working due to unemployment, (2) the likelihood of missing any workdays for caregiving, and (3) the number of workdays missed due to caregiving. RESULTS: Adult children with ADRD parents were more likely to be unemployed (OR = 1.80, p = 0.024) and 2.95 times more likely to miss work for caregiving (p = 0.002) than those with non-ADRD parents. The difference in the number of workdays missed for caregiving between children with and without ADRD parents was not significant. The incremental effects of having ADRD parents were estimated to be $4,510.29 ($1,702.09-$6,723.69) per person per year. CONCLUSIONS: Having ADRD parents significantly increases the chances of unemployment and missing any workdays for caregiving, leading to higher lost labor productivity costs for adult children with ADRD parents.

Medicare Payments and ACOs for Dementia Patients Across Race and Social Vulnerability.

OBJECTIVES: This study investigated variations in Medicare payments for Alzheimer's disease and related dementia (ADRD) by race, ethnicity, and neighborhood social vulnerability, together with cost variations by beneficiaries' enrollment in Accountable Care Organizations (ACOs). METHODS: We used merged datasets of longitudinal Medicare Beneficiary Summary File (2016-2020), the Social Vulnerability Index (SVI), and the Medicare Shared Savings Program (MSSP) ACO to measure beneficiary-level ACO enrollment at the diagnosis year of ADRD. We analyzed Medicare payments for patients newly diagnosed with ADRD for the year preceding the diagnosis and for the subsequent 3 years. The dataset included 742,175 Medicare fee-for-service (FFS) beneficiaries aged 65 and older with a new diagnosis of ADRD in 2017 who remained in the Medicare FFS plan from 2016 to 2020. RESULTS: Among those newly diagnosed, Black and Hispanic patients encountered higher total costs compared to White patients, and ADRD patients living in the most vulnerable areas experienced the highest total costs compared to patients living in other regions. These cost differences persisted over 3 years postdiagnosis. Patients enrolled in ACOs incurred lower costs across all racial and ethnic groups and SVI areas. For ADRD patients living in the areas with the highest vulnerability, the cost differences by ACO enrollment of the total Medicare costs ranged from $4,403.1 to $6,922.7, and beneficiaries' savings ranged from $114.5 to $726.6 over three years post-ADRD diagnosis by patient's race and ethnicity. CONCLUSIONS: Black and Hispanic ADRD patients and ADRD patients living in areas with higher social vulnerability would gain more from ACO enrollment compared to their counterparts.

Psychological distress among family caregivers of persons with Alzheimer's disease and related dementias in Uganda.

BACKGROUND: Alzheimer's disease and related dementias (ADRD) present growing global health challenges, especially in aging populations, such as Uganda. In Uganda, familial caregiving, predominantly undertaken by female relatives, is the primary form of support provided to patients with ADRD. Cultural stigma around dementia and limited access to support services amplify caregivers' challenges. This study examined psychological distress, depression, and quality of life (QoL) among family caregivers of patients with ADRD in Wakiso District, Uganda. METHODS: This cross-sectional study involved 90 caregivers from three sub-counties in Wakiso, selected through purposive sampling to capture diverse experiences. Participants included caregivers aged 18 years and older who were knowledgeable and had cared for a person with ADRD for not less than six months, with those providing more than 70% of physical care being prioritised. Data were collected using the Kessler Psychological Distress Scale, the Caregiver Dementia Quality of Life Measurement Scale, and the Center for Epidemiologic Studies Depression Scale, with an 80% response rate achieved through local collaboration. The statistical analyses focused on psychological distress, QoL, and depression. RESULTS: The study included 82.2% females and 17.8% males, with a median age of 52 years for females and 35 years, respectively. Females were more likely to be single or widowed, whereas males were more likely to be married. The study revealed a high prevalence of psychological distress and depression among caregivers (64.4%) regardless of sex. The analysis indicated that having children was a significant predictor of better QoL (OR 3.04, 95% CI 1.79-5.66, p = 0.034) and a lower risk of depression (OR 0.10, 95% CI 0.01-0.86, p = 0.036). No other sociodemographic factors were significantly associated with health outcomes across the models. CONCLUSION: Our findings revealed a heavy burden of psychological distress and depression among Ugandan caregivers of patients with ADRD, highlighting the need for structured support systems, including mental health services and gender-responsive interventions in low-resource settings.

Cognitive function in Vietnam: the effects of war exposure and social engagement.

OBJECTIVE: Vietnam is an LMIC in Asia that is experiencing rising cases of Alzheimer's disease and related dementias (ADRD). Many Vietnamese adults at risk of ADRD have experienced early-life war exposures, which may have negative impacts on their cognitive function in later years. METHODS: Our study uses the Vietnam Health and Aging Study (VHAS) to investigate the impact of early-life war exposure on cognitive function in later life while also considering variations in social engagement. The sample consists of 2352 adults aged 60 and older from northern and central Vietnam. Cognitive function, measured by questions from the Mini Mental State Examination (MMSE), and self-rated memory are our dependent variables and five measures related to social engagement serve as independent variables. RESULTS: Our results show an association between PTSD symptoms and poorer cognitive function (0.0704, p < 0.05) and self-rated memory (OR = 0.904, p < 0.001; 95%). Similar results are also found among for individuals with lower level of social engagement. Furthermore, several sociodemographic factors exhibit attenuated effects on cognitive function due to variations in social engagement. CONCLUSION: Social engagement is generally beneficial for cognitive health amongst those with early-life war exposure, but it does not necessarily attenuate the effects of trauma.

Unraveling the multiple chronic conditions patterns among people with Alzheimer's disease and related dementia: A machine learning approach to incorporate synergistic interactions.

INTRODUCTION: Most people with Alzheimer's disease and related dementia (ADRD) also suffer from two or more chronic conditions, known as multiple chronic conditions (MCC). While many studies have investigated the MCC patterns, few studies have considered the synergistic interactions with other factors (called the syndemic factors) specifically for people with ADRD. METHODS: We included 40,290 visits and identified 18 MCC from the National Alzheimer's Coordinating Center. Then, we utilized a multi-label XGBoost model to predict developing MCC based on existing MCC patterns and individualized syndemic factors. RESULTS: Our model achieved an overall arithmetic mean of 0.710 AUROC (SD = 0.100) in predicting 18 developing MCC. While existing MCC patterns have enough predictive power, syndemic factors related to dementia, social behaviors, mental and physical health can improve model performance further. DISCUSSION: Our study demonstrated that the MCC patterns among people with ADRD can be learned using a machine-learning approach with syndemic framework adjustments. HIGHLIGHTS: Machine learning models can learn the MCC patterns for people with ADRD. The learned MCC patterns should be adjusted and individualized by syndemic factors. The model can predict which disease is developing based on existing MCC patterns. As a result, this model enables early specific MCC identification and prevention.

Analysis of agreement between measures of subjective cognitive impairment and probable dementia in the National Health and Aging Trends Study.

BACKGROUND: Subjective cognitive impairment (SCI) measures in population-based surveys offer potential for dementia surveillance, yet their validation against established dementia measures is lacking. METHODS: We assessed agreement between SCI and a validated probable dementia algorithm in a random one-third sample (n = 1936) of participants in the 2012 National Health and Aging Trends Study (NHATS). RESULTS: SCI was more prevalent than probable dementia (12.2% vs 8.4%). Agreement between measures was 90.0% and of substantial strength. Misclassification rates were higher among older and less-educated subgroups due to higher prevalence of false-positive misclassification but did not vary by sex or race and ethnicity. DISCUSSION: SCI sensitivity (63.4%) and specificity (92.5%) against dementia were comparable with similar metrics for the NHATS probable dementia measure against the "gold-standard" Aging, Demographics, and Memory Study-based dementia criteria, implying that population-based surveys may afford cost-effective opportunities for dementia surveillance to assess risk and inform policy. HIGHLIGHTS: The prevalence of subjective cognitive impairment (SCI) is generally higher than that of a validated measure of probable dementia, particularly within the youngest age group, females, Whites, and persons with a college or higher degree. Percent agreement between SCI and a validated measure of probable dementia was 90.0% and of substantial strength (prevalence- and bias-adjusted kappa, 0.80). Agreement rates were higher in older and less-educated subgroups, driven by the higher prevalence of false-positive disagreement, but did not vary significantly by sex or race and ethnicity. SCI's overall sensitivity and specificity were 63.4% and 92.5%, respectively, against a validated measure of probable dementia, suggesting utility as a low-cost option for dementia surveillance. Heterogeneity in agreement quality across subpopulations warrants caution in its use for subgroup analyses.

Increasing research study engagement in minoritized populations: An example from the Black Women Inflammation and Tau Study.

Black women are sorely underrepresented in studies of Alzheimer's disease and related dementias (ADRD) despite higher rates of ADRD diagnoses than in non-Hispanic White women. There are many reasons for underrepresentation, including medical mistrust, limited access to clinical studies, and restrictive study inclusion criteria. These pervasive barriers to research participation are often not considered during study development and, if eventually thought of tend to be after the fact. Community-engaged research (CER) approaches are an effective method for reducing participation barriers. This article describes how CER approaches were used to develop the Black Women Inflammation and Tau Study (BWITS), a prospective study to identify biopsychosocial risk factors for ADRD in Black women. Guidelines discussed here for future ADRD research in diverse populations are informed by Community-Based Participatory Research (CBPR), the National Institute on Minority Health and Health Disparities (NIMHD), and the Patient-Centered Outcomes Research Institute (PCORI). HIGHLIGHTS: Understand the historical tragedies related to medical practices and research designs that may contribute to the underrepresentation of Black Americans in research studies today. Highlight community-engaged research approaches that effectively reduce participation barriers in minoritized groups. Review Community-Based Participatory Research, National Institute of Minority Health and Health Disparities, and the Patient-Centered Outcomes Research Institute guidelines for conducting research with minoritized communities. Describe using the three frameworks to inform the study development protocol for the Black Women Inflammation and Tau Study. Conclude by offering study design considerations that we hope can be a helpful starting point for others conducting research with minoritized communities.

Pathologic and cognitive correlates of plasma biomarkers in neurodegenerative disease.

INTRODUCTION: We investigate pathological correlates of plasma phosphorylated tau 181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) across a clinically diverse spectrum of neurodegenerative disease, including normal cognition (NormCog) and impaired cognition (ImpCog). METHODS: Participants were NormCog (n = 132) and ImpCog (n = 461), with confirmed ß-amyloid (Aß+/-) status (cerebrospinal fluid, positron emission tomography, autopsy) and single molecule array plasma measurements. Logistic regression and receiver operating characteristic (ROC) area under the curve (AUC) tested how combining plasma analytes discriminated Aß+ from Aß-. Survival analyses tested time to clinical dementia rating (global CDR) progression. RESULTS: Multivariable models (p-tau+GFAP+NfL) had the best performance to detect Aß+ in NormCog (ROCAUC = 0.87) and ImpCog (ROCAUC = 0.87). Survival analyses demonstrated that higher NfL best predicted faster CDR progression for both Aß+ (hazard ratio [HR] = 2.94; p = 8.1e-06) and Aß- individuals (HR = 3.11; p = 2.6e-09). DISCUSSION: Combining plasma biomarkers can optimize detection of Alzheimer's disease (AD) pathology across cognitively normal and clinically diverse neurodegenerative disease. HIGHLIGHTS: Participants were clinically heterogeneous, with autopsy- or biomarker-confirmed Aß. Combining plasma p-tau181, GFAP, and NfL improved diagnostic accuracy for Aß status. Diagnosis by plasma biomarkers is more accurate in amnestic AD than nonamnestic AD. Plasma analytes show independent associations with tau PET and post mortem Aß/tau. Plasma NfL predicted longitudinal cognitive decline in both Aß+ and Aß- individuals.

Retention of American Indian and Alaska Native participants in the National Alzheimer's Coordinating Center Uniform Data Set.

INTRODUCTION: The number of American Indian and Alaska Native (AI/AN) elders is expected to double by 2060. Thus it is imperative to retain AI/AN participants in longitudinal research studies to identify novel risk factors and potential targets for intervention for Alzheimer's disease and related dementias in these communities. METHODS: The National Alzheimer's Coordinating Center houses uniformly collected longitudinal data from the network of National Institute on Aging (NIA)-funded Alzheimer's Disease Research Centers (ADRCs). We used logistic regression to quantify participant retention at 43 ADRCs, comparing self-identified AI/AN participants to non-Hispanic White (NHW) participants, adjusting for potential confounding factors including baseline diagnosis, age, sex, education, and smoking. RESULTS: The odds of AI/AN participant retention at the first follow-up visit were significantly lower than those for NHW participants (adjusted odds ratio [aOR]: 0.599; 95%: 0.46-0.78; p < 0.001). DISCUSSION: These results suggest the need for improved strategies to retain AI/AN participants, perhaps including improved researcher-community relationships and community engagement and education. HIGHLIGHTS: American Indian and Alaska Native (AI/AN) research participants were retained to the first follow-up appointment at lower rates than non-Hispanic White (NHW) participants. AI/AN participants are retained at lower rates than NHW participants for long-term follow-up. The majority of AI/AN participants were not retained to the second follow-up visit.

ACH2.0/E, the Consolidated Theory of Conventional and Unconventional Alzheimer's Disease: Origins, Progression, and Therapeutic Strategies.

The centrality of amyloid-beta (Aß) is an indisputable tenet of Alzheimer's disease (AD). It was initially indicated by the detection (1991) of a mutation within Aß protein precursor (AßPP) segregating with the disease, which served as a basis for the long-standing Amyloid Cascade Hypothesis (ACH) theory of AD. In the intervening three decades, this notion was affirmed and substantiated by the discovery of numerous AD-causing and AD-protective mutations with all, without an exception, affecting the structure, production, and intraneuronal degradation of Aß. The ACH postulated that the disease is caused and driven by extracellular Aß. When it became clear that this is not the case, and the ACH was largely discredited, a new theory of AD, dubbed ACH2.0 to re-emphasize the centrality of Aß, was formulated. In the ACH2.0, AD is caused by physiologically accumulated intraneuronal Aß (iAß) derived from AßPP. Upon reaching the critical threshold, it triggers activation of the autonomous AßPP-independent iAß generation pathway; its output is retained intraneuronally and drives the AD pathology. The bridge between iAß derived from AßPP and that generated independently of AßPP is the neuronal integrated stress response (ISR) elicited by the former. The ISR severely suppresses cellular protein synthesis; concurrently, it activates the production of a small subset of proteins, which apparently includes components necessary for operation of the AßPP-independent iAß generation pathway that are absent under regular circumstances. The above sequence of events defines "conventional" AD, which is both caused and driven by differentially derived iAß. Since the ISR can be elicited by a multitude of stressors, the logic of the ACH2.0 mandates that another class of AD, referred to as "unconventional", has to occur. Unconventional AD is defined as a disease where a stressor distinct from AßPP-derived iAß elicits the neuronal ISR. Thus, the essence of both, conventional and unconventional, forms of AD is one and the same, namely autonomous, self-sustainable, AßPP-independent production of iAß. What distinguishes them is the manner of activation of this pathway, i.e., the mode of causation of the disease. In unconventional AD, processes occurring at locations as distant from and seemingly as unrelated to the brain as, say, the knee can potentially trigger the disease. The present study asserts that these processes include traumatic brain injury (TBI), chronic traumatic encephalopathy, viral and bacterial infections, and a wide array of inflammatory conditions. It considers the pathways which are common to all these occurrences and culminate in the elicitation of the neuronal ISR, analyzes the dynamics of conventional versus unconventional AD, shows how the former can morph into the latter, explains how a single TBI can hasten the occurrence of AD and why it takes multiple TBIs to trigger the disease, and proposes the appropriate therapeutic strategies. It posits that yet another class of unconventional AD may occur where the autonomous AßPP-independent iAß production pathway is initiated by an ISR-unrelated activator, and consolidates the above notions in a theory of AD, designated ACH2.0/E (for expanded ACH2.0), which incorporates the ACH2.0 as its special case and retains the centrality of iAß produced independently of AßPP as the driving agent of the disease.

Dignity in people with dementia: A concept analysis.

Background: Dignity, an abstract and complex concept, is an essential part of humanity and an underlying guiding principle in healthcare. Previous literature indicates dignity is compromised in people with dementia (PwD), but those PwD maintain the capacity to live with dignity with appropriate external support. Alzheimer's disease and related dementias (ADRDs) lead to progressive functional decline and increased vulnerability and dependence, leading to heightened risks of PwD receiving inappropriate or insufficient care that diminishes dignity. Considering the increased disease prevalence and the continuously escalating costs of dementia care, establishing a productive value-based guideline may prevent suffering, maximize dignity, and thus promote quality of life (QoL).Aim: The goal of this project is to identify actionable targets for integrating dignity harmoniously and practically into care planning and management for PwD.Research Design: We conducted a concept analysis using Walker and Avant's eight-step process. A comprehensive literature search was conducted (PubMed and CINAHL) with the keywords "dignity," "dementia," "Alzheimer's disease," and "dementia care."Results: A total of 42 out of 4910 publications were included. The concept of dignity in PwD is operationalized as the promotion of worthiness and the accordance of respect that allows the presence and expression of a person's sense of self, regardless of physical, mental, or cognitive health. The concept has two subdimensions: absolute dignity which encompasses the inherent self and relative dignity characterized by its dynamic reflective nature. Worthiness and respect are the two main attributes, while autonomy is an underlying component of dignity. Specific antecedents of dignity in PwD are empowerment, non-maleficence, and adaptive environmental scaffolding. As a consequence of facilitating dignity in PwD, QoL may be enhanced.Conclusion: As a foundational and necessary humanistic value, incorporating dignity into dementia care can lead to efficient and effective care that optimizes QoL in PwD throughout their disease progression.

Adapted MoCA for Use among Arabic-Speaking Immigrants in the United States.

OBJECTIVE: Neuropsychological assessment among U.S. Arabic-speaking older adults is virtually non-existent due to lack of translated measures and normative data, as well as researchers' limited access to Middle Eastern/Arab Americans. The Montreal Cognitive Assessment (MoCA) is the only validated, widely-used dementia screen with Arabic language norms/cutoffs, yet, Arabic MoCA translations vary across countries and studies. We examined utility of a modified translation among Arabic-speaking immigrants in metro-Detroit. METHODS: The Arabic MoCA was modified to reflect consistency with the original English version while remaining meaningful in the Arabic language. The MoCA was then administered to 32 Arabic-speaking adults age 65 + living in metro-Detroit. Eight (25%) had an Alzheimer's disease or related dementia (ADRD) diagnosis. Each item was standardized and Cronbach's alpha assessed reliability. Ordinary least squares models examined whether an ADRD diagnosis predicts the total MoCA score and each item, adjusting for demographics. RESULTS: The mean age of the sample was 73 years old. The alpha was acceptably high at 0.87. Bivariate analyses show those with ADRD diagnosis scored lower overall on the MoCA. However, probability of diagnosis and age were confounded in the sample such that in multivariate analyses ADRD diagnosis did not explain additional variation beyond what is explained by age. Orientation, cube-copy test and serial 7s best distinguished those with ADRD. CONCLUSION: The modified Arabic language MoCA shows promise distinguishing those with an ADRD diagnosis. This translation provides a resource for neuropsychologists looking for translated tests when working with Arabic-speaking patients in the U.S.

Perceived Threat of Alzheimer's Disease and Related Dementias Among Chinese Family Caregivers of Older Adults with Cognitive Impairment.

Perceived threat of Alzheimer's disease and related dementias (ADRD) has been found a widespread phenomenon in developed countries, but has not yet been fully explored in developing countries. Analyzing data from 300 family caregivers of older adults with cognitive impairment in China, this study found caregiver burden was positively associated with the perceived threat of ADRD, and this association was buffered by higher family income and longer caregiving time. To alleviate undue ADRD concerns, it suggests expanding respite care and community elder care beds, and initiating education programs on reducing unnecessary worries about developing ADRD.

Did the COVID-19 Pandemic Affect the Use of Antipsychotics Among Nursing Home Residents With ADRD?

OBJECTIVE: To examine whether and how the COVID-19 pandemic affected the use of antipsychotics among residents with Alzheimer's disease and related dementias in nursing homes. DESIGN: Observational study based on the Minimum Data Set and Medicare claims. SETTING: Medicare- and/or Medicaid-certified nursing homes. PARTICIPANTS: Nursing home residents diagnosed with Alzheimer's disease and related dementias between 2017 and 2020. MEASUREMENTS: The main outcome variable was any antipsychotic use during a quarter. The secondary outcome was certified nursing assistants' staffing hours per bed per day in a quarter. We categorized nursing homes into quartiles based on the distribution of nursing home racial and/or ethnic composition. To explore the relationship between the COVID-19 pandemic and the frequency of antipsychotic use, we estimated a linear probability model with robust standard errors, individual and facility random effects. We used a similar model for certified nursing assistant hours. RESULTS: About 23.7% of residents with ADRD had antipsychotic uses during the study period. The frequency of antipsychotic use declined from 23.7%-23.1% between the first quarter of 2017 (2017Q1) and the first quarter of 2020 (2020Q1) but increased to 24.8% by the last quarter of 2020 (2020Q4). Residents in all four racial and/or ethnic groups experienced an increase in antipsychotic use during the COVID-19 pandemic, but the extent of the increase varied by race and/or ethnicity. For example, while residents in the very-high minority nursing homes experienced a greater increase in antipsychotic use than did the residents of other nursing homes at the beginning of the pandemic, the increasing trend during the pandemic was smaller in the very-high minority nursing homes compared to the low-minority nursing homes (0.2 percentage points less, p<0.001, based on heteroskedasticity-robust t statistics, t = 3.67, df = 8,155,219). On average, the certified nursing assistant hours decreased from 1.8-1.7 hours per bed per day between 2017Q1 and 2020Q1, and further decreased to 1.5 hours per bed per day by 2020Q4. There was also a decreasing trend in staffing hours across all racial and/or ethnic groups during the pandemic. CONCLUSIONS AND RELEVANCE: The COVID-19 pandemic was associated with an increase in the use of antipsychotics among nursing home residents with Alzheimer's disease and related dementias and decreased staffing of certified nursing assistants, especially among nursing homes with a high minority penetration. Future research is needed to explore means for reducing antipsychotic use, particularly in homes with a high penetration of minority residents.

Sleep movements and respiratory coupling as a biobehavioral metric for early Alzheimer's disease in independently dwelling adults.

INTRODUCTION: Sleep disorder is often the first symptom of age-related cognitive decline associated with Alzheimer's disease (AD) observed in primary care. The relationship between sleep and early AD was examined using a patented sleep mattress designed to record respiration and high frequency movement arousals. A machine learning algorithm was developed to classify sleep features associated with early AD. METHOD: Community-dwelling older adults (N = 95; 62-90 years) were recruited in a 3-h catchment area. Study participants were tested on the mattress device in the home bed for 2 days, wore a wrist actigraph for 7 days, and provided sleep diary and sleep disorder self-reports during the 1-week study period. Neurocognitive testing was completed in the home within 30-days of the sleep study. Participant performance on executive and memory tasks, health history and demographics were reviewed by a geriatric clinical team yielding Normal Cognition (n = 45) and amnestic MCI-Consensus (n = 33) groups. A diagnosed MCI group (n = 17) was recruited from a hospital memory clinic following diagnostic series of neuroimaging biomarker assessment and cognitive criteria for AD. RESULTS: In cohort analyses, sleep fragmentation and wake after sleep onset duration predicted poorer executive function, particularly memory performance. Group analyses showed increased sleep fragmentation and total sleep time in the diagnosed MCI group compared to the Normal Cognition group. Machine learning algorithm showed that the time latency between movement arousals and coupled respiratory upregulation could be used as a classifier of diagnosed MCI vs. Normal Cognition cases. ROC diagnostics identified MCI with 87% sensitivity; 89% specificity; and 88% positive predictive value. DISCUSSION: AD sleep phenotype was detected with a novel sleep biometric, time latency, associated with the tight gap between sleep movements and respiratory coupling, which is proposed as a corollary of sleep quality/loss that affects the autonomic regulation of respiration during sleep. Diagnosed MCI was associated with sleep fragmentation and arousal intrusion.

The relationship of caregiver self-efficacy to caregiver outcomes: a correlation and mediation analysis.

OBJECTIVES: Caregivers of individuals with Alzheimer's disease and related dementias experience significant burden and adverse outcomes. Enhancing caregiver self-efficacy has the potential to mitigate these negative impacts, yet little is known about its relationship with other aspects of caregiving. This study examined the relationship between self-efficacy and outcomes; identified factors associated with self-efficacy; examined the mediating role of self-efficacy; and analyzed whether there were racial/ethnic differences. METHODS: Data from caregivers (N = 243) were collected from the Caring for the Caregiver Network study. Participants' level of self-efficacy, depression, burden, and positive aspects of caregiving was assessed using validated measures. RESULTS: Two self-efficacy subscales predicted caregiver depression, burden, and positive aspects of caregiving. Being White, a spouse, or having a larger social network predicted lower self-efficacy for obtaining respite. Higher income and lower preparedness predicted lower self-efficacy for controlling upsetting thoughts and responding to disruptive behaviors. Self-efficacy for controlling upsetting thoughts mediated the relationship between preparedness and depression along with the relationship between preparedness and burden. Race/ethnicity did not improve model fit. CONCLUSION: Self-efficacy plays an important role in caregiver outcomes. These findings indicate that strategies to improve caregiver self-efficacy should be an integral component of caregiver interventions.

Global rural health disparities in Alzheimer's disease and related dementias: State of the science.

INTRODUCTION: Individuals living in rural communities are at heightened risk for Alzheimer's disease and related dementias (ADRD), which parallels other persistent place-based health disparities. Identifying multiple potentially modifiable risk factors specific to rural areas that contribute to ADRD is an essential first step in understanding the complex interplay between various barriers and facilitators. METHODS: An interdisciplinary, international group of ADRD researchers convened to address the overarching question of: "What can be done to begin minimizing the rural health disparities that contribute uniquely to ADRD?" In this state of the science appraisal, we explore what is known about the biological, behavioral, sociocultural, and environmental influences on ADRD disparities in rural settings. RESULTS: A range of individual, interpersonal, and community factors were identified, including strengths of rural residents in facilitating healthy aging lifestyle interventions. DISCUSSION: A location dynamics model and ADRD-focused future directions are offered for guiding rural practitioners, researchers, and policymakers in mitigating rural disparities. HIGHLIGHTS: Rural residents face heightened Alzheimer's disease and related dementia (ADRD) risks and burdens due to health disparities. Defining the unique rural barriers and facilitators to cognitive health yields insight. The strengths and resilience of rural residents can mitigate ADRD-related challenges. A novel "location dynamics" model guides assessment of rural-specific ADRD issues.

Examining the role of race and quality of home health agencies in delayed initiation of home health services for individuals with Alzheimer's disease and related dementias (ADRD).

INTRODUCTION: We examined differences in the timeliness of the initiation of home health care by race and the quality of home health agencies (HHA) among patients with Alzheimer's disease and related dementias (ADRD). METHODS: Medicare claims and home health assessment data were used for the study cohort: individuals aged ≥65 years with ADRD, and discharged from the hospital. Home health latency was defined as patients receiving home health care after 2 days following hospital discharge. RESULTS: Of 251,887 patients with ADRD, 57% received home health within 2 days following hospital discharge. Black patients were significantly more likely to experience home health latency (odds ratio [OR] = 1.15, 95% confidence interval [CI] = 1.11-1.19) compared to White patients. Home health latency was significantly higher for Black patients in low-rating HHA (OR = 1.29, 95% CI = 1.22-1.37) compared to White patients in high-rating HHA. DISCUSSION: Black patients are more likely to experience a delay in home health care initiation than White patients.

The structural and social determinants of Alzheimer's disease related dementias.

INTRODUCTION: The projected growth of Alzheimer's disease (AD) and AD-related dementia (ADRD) cases by midcentury has expanded the research field and impelled new lines of inquiry into structural and social determinants of health (S/SDOH) as fundamental drivers of disparities in AD/ADRD. METHODS: In this review, we employ Bronfenbrenner's ecological systems theory as a framework to posit how S/SDOH impact AD/ADRD risk and outcomes. RESULTS: Bronfenbrenner defined the "macrosystem" as the realm of power (structural) systems that drive S/SDOH and that are the root cause of health disparities. These root causes have been discussed little to date in relation to AD/ADRD, and thus, macrosystem influences, such as racism, classism, sexism, and homophobia, are the emphasis in this paper. DISCUSSION: Under Bronfenbrenner's macrosystem framework, we highlight key quantitative and qualitative studies linking S/SDOH with AD/ADRD, identify scientific gaps in the literature, and propose guidance for future research. HIGHLIGHTS: Ecological systems theory links structural/social determinants to AD/ADRD. Structural/social determinants accrue and interact over the life course to impact AD/ADRD. Macrosystem is made up of societal norms, beliefs, values, and practices (e.g., laws). Most macro-level determinants have been understudied in the AD/ADRD literature.

Early prediction of Alzheimer's disease and related dementias using real-world electronic health records.

INTRODUCTION: This study aims to explore machine learning (ML) methods for early prediction of Alzheimer's disease (AD) and related dementias (ADRD) using the real-world electronic health records (EHRs). METHODS: A total of 23,835 ADRD and 1,038,643 control patients were identified from the OneFlorida+ Research Consortium. Two ML methods were used to develop the prediction models. Both knowledge-driven and data-driven approaches were explored. Four computable phenotyping algorithms were tested. RESULTS: The gradient boosting tree (GBT) models trained with the data-driven approach achieved the best area under the curve (AUC) scores of 0.939, 0.906, 0.884, and 0.854 for early prediction of ADRD 0, 1, 3, or 5 years before diagnosis, respectively. A number of important clinical and sociodemographic factors were identified. DISCUSSION: We tested various settings and showed the predictive ability of using ML approaches for early prediction of ADRD with EHRs. The models can help identify high-risk individuals for early informed preventive or prognostic clinical decisions.