Association between Marital Status and Cognitive Impairment in a Multi-Ethnic Asian Population.

OBJECTIVE: This study aimed to examine the potential factors associated with marital status and determine the association between marital status and cognitive impairment in a multi-ethnic Asian population. METHOD: This study included 2,321 participants from Singapore Multi-Ethnic Cohort revisit study (aged 40-89). Participants were classified into married and unmarried group at baseline and follow-up according to self-reported marital status. Mini-Mental Status Examination (MMSE) was administered, and cognitive impairment was defined as a MMSE <26. We conducted both cross-sectional and longitudinal analyses to examine the association of marital status at 1 timepoint as well as marital transition with cognitive impairment. RESULTS: Of the 2,321 participants, a total of 1,914 (82.5%) were married. The factors associated with marital status included younger age, male sex, higher household income, higher education, and higher physical activity levels. Additionally, married participants also had higher alternative healthy eating index (AHEI-2010) scores and a lower burden of hypertension and diabetes. Among those who were married, the median (Q1, Q3) MMSE score was 29 (28, 30) while among those who were unmarried it was 29 (27, 30) (p < 0.01). Participants who had never been married had the highest odds of cognitive impairment compared to their married counterparts (model III: OR = 1.48, 95% CI: 1.03, 2.14). Older age (p interaction value = 0.003) and Indian ethnicity (p interaction value = 0.028) further strengthened these associations. CONCLUSION: Marriage was associated with lower odds of cognitive impairment. Marriage provides social support, companionship, and engagement in mentally stimulating activities contributing to better cognitive health. By identifying risk factors such as marital status, interventions and support systems can be developed to promote healthy cognitive aging.

Cognitive Difficulty in Middle Eastern and North African Adults Living in the United States Compared With Other Racial and Ethnic Categories, 2017-2021.

Objectives. To estimate the odds of having cognitive difficulties among Middle Eastern and North African (MENA) American adults and compare these odds with those of White, Black, Hispanic/Latino, Asian, American Indian or Alaska Native (AI/AN), and Native Hawaiian/Other Pacific Islander adults nationally and in the 4 states with the largest MENA populations (California, New York, Michigan, and Texas) after adjusting for sociodemographic factors. Methods. We analyzed 2017-2021 American Community Survey data (aged ≥ 45 years; n = 7 284 988), comparing presence of cognitive difficulties by race/ethnicity. Results. MENA adults had greater odds of reporting cognitive difficulties than did White (odds ratio [OR] = 1.49; 95% confidence interval [CI] = 1.42, 1.56), Black (OR = 1.20; 95% CI = 1.14, 1.26), Hispanic (OR = 1.46; 95% CI = 1.39, 1.53), Asian (OR = 1.31; 95% CI = 1.25, 1.38), and AI/AN (OR = 1.07; 95% CI = 1.01, 1.14) adults. In all 4 states, odds of having cognitive difficulties were higher among MENA than Asian adults. Other racial/ethnic comparisons differed by state. Conclusions. A separate checkbox for MENA Americans approved by the Office of Management and Budget is important so health outcomes can be studied in more detail and funds can be allocated for research and resources at state and national levels. (Am J Public Health. 2024;114(11):1265-1274. https://doi.org/10.2105/AJPH.2024.307803).

Assessment of disparities in timely diagnosis and comprehensive workup of cognitive impairment between English and Spanish speakers.

BACKGROUND: Previous studies have examined disparities in dementia care that affect the U.S. Hispanic/Latino population, including clinician bias, lack of cultural responsiveness, and less access to health care. However, there is limited research that specifically investigates the impact of language barriers to health disparities in dementia diagnosis. METHODS: In this retrospective cross-sectional study, 12,080 English- or Spanish- speaking patients who received an initial diagnosis of mild cognitive impairment (MCI) or dementia between July 2017 and June 2019 were identified in the Yale New Haven Health (YNHH) electronic medical record. To evaluate the timeliness of diagnosis, an initial diagnosis of MCI was classified as "timely", while an initial diagnosis of dementia was considered "delayed." Comprehensiveness of diagnosis was assessed by measuring the presence of laboratory studies, neuroimaging, specialist evaluation, and advanced diagnostics six months before or after diagnosis. Binomial logistic regressions were calculated with and without adjustment for age, legal sex, ethnicity, neighborhood disadvantage, and medical comorbidities. RESULTS: Spanish speakers were less likely to receive a timely diagnosis when compared with English speakers both before (unadjusted OR, 0.65; 95% CI, 0.53-0.80, p <0.0001) and after adjusting for covariates (adjusted OR, 0.55; 95% CI, 0.40-0.75, p = 0.0001). Diagnostic services were provided equally between groups, except for referrals to geriatrics, which were more frequent among Spanish-speaking patients. A subgroup analysis revealed that Spanish-speaking Hispanic/Latino patients were less likely to receive a timely diagnosis compared to English-speaking Hispanic/Latino patients (adjusted OR, 0.53; 95% CI, 0.38-0.73, p = 0.0001). CONCLUSIONS: Non-English language preference is likely to be a contributing factor to timely diagnosis of cognitive impairment. In this study, Spanish language preference rather than Hispanic/Latino ethnicity was a significant predictor of a less timely diagnosis of cognitive impairment. Policy changes are needed to reduce barriers in cognitive disorders care for Spanish-speaking patients.

Psychometric reliability, validity, and generalizability of 3MSE scores among American Indian adults: the Strong Heart Study.

OBJECTIVE: Modified Mini-Mental State Examination (3MSE) is often used to screen for dementia, but little is known about psychometric validity in American Indians. METHODS: We recruited 818 American Indians aged 65-95 for 3MSE examinations in 2010-2013; 403 returned for a repeat examination in 2017-2019. Analyses included standard psychometrics inferences for interpretation, generalizability, and extrapolation: factor analysis; internal consistency-reliability; test-retest score stability; multiple indicator multiple cause structural equation models. RESULTS: This cohort was mean age 73, majority female, mean 12 years education, and majority bilingual. The 4-factor and 2nd-order models fit best, with subfactors for orientation and visuo-construction (OVC), language and executive functioning (LEF), psychomotor and working memory (PMWM), verbal and episodic memory (VEM). Factor structure was supported for both research and clinical interpretation, and factor loadings were moderate to high. Scores were generally consistent over mean 7 years. Younger participants performed better in overall scores, but not in individual factors. Males performed better on OVC and LEF, females better on PMWM. Those with more education performed better on LEF and worse on OVC; the converse was true for bilinguals. All differences were significant, but small. CONCLUSION: These findings support use of 3MSE for individual interpretation in clinic and research among American Indians, with moderate consistency, stability, reliability over time. Observed extrapolations across age, sex, education, and bilingual groups suggest some important contextual differences may exist.

Identification of amnestic mild cognitive impairment among Black and White community-dwelling older adults using NIH Toolbox Cognition tablet battery.

OBJECTIVES: Identify which NIH Toolbox Cognition Battery (NIHTB-CB) subtest(s) best differentiate healthy controls (HC) from those with amnestic mild cognitive impairment (aMCI) and compare the discriminant accuracy between a model using a priori "Norm Adjusted" scores versus "Unadjusted" standard scores with age, sex, race/ethnicity, and education controlled for within the model. Racial differences were also examined. METHODS: Participants were Black/African American (B/AA) and White consensus-confirmed (HC = 96; aMCI = 62) adults 60-85 years old that completed the NIHTB-CB for tablet. Discriminant function analysis (DFA) was used in the Total Sample and separately for B/AA (n = 80) and White participants (n = 78). RESULTS: Picture Sequence Memory (an episodic memory task) was the highest loading coefficient across all DFA models. When stratified by race, differences were noted in the pattern of the highest loading coefficients within the DFAs. However, the overall discriminant accuracy of the DFA models in identifying HCs and those with aMCI did not differ significantly by race (B/AA, White) or model/score type (Norm Adjusted versus Unadjusted). CONCLUSIONS: Racial differences were noted despite the use of normalized scores or demographic covariates-highlighting the importance of including underrepresented groups in research. While the models were fairly accurate at identifying consensus-confirmed HCs, the models proved less accurate at identifying White participants with an aMCI diagnosis. In clinical settings, further work is needed to optimize computerized batteries and the use of NIHTB-CB norm adjusted scores is recommended. In research settings, demographically corrected scores or within model correction is suggested.

Ethnoracial Identity and Cognitive Impairment: A Community Study.

BACKGROUND: Identifying potentially modifiable risk factors associated with MCI in different ethnoracial groups could reduce MCI burden and health inequity in the population. METHODS: Among 2845 adults aged 65+ years, we investigated potential risk exposures including education, physical and mental health, lifestyle, and sensory function, and their cross-sectional associations with MCI. We compared proportions of exposures between Black and White participants and explored relationships among race, MCI, and exposures. Logistic regression modeled MCI as a function of each exposure in the overall sample adjusting for age, sex, educational level, and race, and investigating race*exposure interactions. RESULTS: Compared with White participants, Black participants had greater odds of MCI (OR 1.53; 95% CI, 1.13 to 2.06) and were more likely to report depressive symptoms, diabetes, and stroke, to have high blood pressure and BMI, and to be APOE - 4 carriers. Exposures associated with higher odds of MCI were diabetes, stroke, lifetime smoking, sleep disturbances, social isolation, loneliness, depression and anxiety symptoms, and vision and hearing loss. There were no significant interactions between race and any exposure. CONCLUSIONS: Black participants had 53% higher odds of MCI adjusting for age, sex, and education. The same exposures were associated with MCI in Black and White participants.

Strength together: examining risk and protective factors associated with dementia and cognitive impairment in Aboriginal and Torres Strait Islander peoples through harmonisation of landmark studies.

BACKGROUND: Rates of dementia for Aboriginal and Torres Strait Islander peoples are three to five times greater compared to non-Indigenous Australians, with earlier age of onset. However, the risk and protective factors that drive these higher rates vary across existing cohort studies, with minimal findings on the role of vascular risk factors beyond stroke. Harmonisation of data across studies may offer greater insights through enhanced diversity and strengthened statistical capabilities. This study aims to combine three landmark cohort studies of Aboriginal and Torres Strait Islander participants to better understand the determinants of cognitive health and dementia. METHODS/DESIGN: Three cohort studies - the Kimberley Healthy Adults Project (KHAP, N = 363), Koori Growing Old Well Study (KGOWS, N = 336) and Torres Strait Dementia Prevalence Study (TSDPS, N = 274) - share a similar research methodology with demographic, medical history, psychosocial factors, cognitive tests and consensus clinical diagnoses of cognitive impairment and dementia. Associations between risk and protective factors of interest and the presence of dementia and/or cognitive impairment diagnoses will be evaluated by univariable and multivariable logistic regression in a harmonised cross-sectional cohort of 898 participants. Factors associated with incident dementia and/or cognitive impairment will be assessed in a subset of KHAP (n = 189) and KGOWS participants (n = 165) who were available in longitudinal follow-up, after exclusion of those with baseline dementia or cognitive impairment. Analyses in relation to outcome measure of death or dementia will be conducted to account for the competing risk of death. Logistic regression will be used to evaluate the association between the individual components of the 16-component Kimberley Indigenous Cognitive Assessment (KICA) tool and the presence of dementia and cognitive impairment determined by independent consensus diagnoses. Multivariable binary logistic regression will be used to adjust for the effect of confounding variables. Results will be reported as odds ratios (OR) with 95% confidence intervals (95% CI). DISCUSSION: Greater understanding of risk and protective factors of dementia and cognitive impairment relevant to Aboriginal and Torres Strait Islander peoples may improve approaches across the life course to delay cognitive decline and reduce dementia risk.

Housing status is protective of neuropsychiatric symptoms among dementia-free multi-ethnic Asian elderly.

BACKGROUND: Housing has been associated with dementia risk and disability, but associations of housing with differential patterns of neuropsychiatric symptoms (NPS) among dementia-free older adults remain to be explored. The present study sought to explore the contribution of housing status on NPS and subsyndromes associated with cognitive dysfunction in community-dwelling dementia-free elderly in Singapore. METHODS: A total of 839 dementia-free elderly from the Epidemiology of Dementia in Singapore (EDIS) study aged ≥ 60 were enrolled in the current study. All participants underwent clinical, cognitive, and neuropsychiatric inventory (NPI) assessments. The housing status was divided into three categories according to housing type. Cognitive function was measured by a comprehensive neuropsychological battery. The NPS were assessed using 12-term NPI and were grouped into four clinical subsyndromes: psychosis, hyperactivity, affective, and apathy. Associations of housing with composite and domain-specific Z-scores, as well as NPI scores, were assessed using generalized linear models (GLM). Binary logistic regression models analysed the association of housing with the presence of NPS and significant NPS (NPI total scores ≥ 4). RESULTS: Better housing status (5-room executive apartments, condominium, or private housing) was associated with better NPS (OR = 0.49, 95%CI = 0.24 to 0.98, P < 0.05) and significant NPS profile (OR = 0.20, 95%CI = 0.08 to 0.46, P < 0.01), after controlling for demographics, risk factors, and cognitive performance. Compared with those living in 1-2 room apartments, older adults in better housing had lower total NPI scores (ß=-0.50, 95%CI=-0.95 to -0.04, P = 0.032) and lower psychosis scores (ß=-0.36, 95%CI=-0.66 to -0.05, P = 0.025), after controlling for socioeconomic status (SES) indexes. Subgroup analysis indicated a significant correlation between housing type and NPS in females, those of Malay ethnicity, the more educated, those with lower income, and those diagnosed with cognitive impairment, no dementia (CIND). CONCLUSIONS: Our study showed a protective effect of better housing arrangements on NPS, especially psychosis in a multi-ethnic Asian geriatric population without dementia. The protective effect of housing on NPS was independent of SES and might have other pathogenic mechanisms. Improving housing could be an effective way to prevent neuropsychiatric disturbance among the elderly.

The dynamic and reciprocal relationship between perceived everyday discrimination and cognitive function in later life.

OBJECTIVES: This study, based on socioemotional selectivity theory and cognitive theory, investigates the dynamic and reciprocal relationship between perceived discrimination and cognitive function in later life. METHODS: Data were drawn from four waves of the Health and Retirement Study (HRS 2006, 2010, 2014, and 2018). A total of 4,125 people who were 51 and older were included. Cognitive function was measured by the telephone interview for cognitive status (TICS-27). Perceived discrimination was measured using scores of the perceived everyday discrimination scale. Random intercept cross-lagged panel model (RI-CLPM) was utilized. The model was adjusted for a range of covariates. Subgroup analysis by ethnoracial groups was conducted. RESULTS: Cross-sectionally, while lower cognitive function was associated with higher perceived discrimination, this relationship was unidirectional. Longitudinally, higher perceived discrimination predicted lower cognitive function in later waves only among non-Hispanic White individuals. CONCLUSION: Results suggested that a decline in cognitive function may precede and contribute to the worsening of perceived discrimination, which may result in further decline in cognitive function. Lifetime experience of discrimination was discussed as a possible source of the racial/ethnic variations in the relationship. Further study is needed to examine whether this relationship holds among people with cognitive impairment and dementia.

Disparities in 30-Day Readmission Between Medicare/Medicaid and Private Insurance Among Patients With Heart Failure Screened for Cognitive Impairment.

BACKGROUND: Racial disparities exist among patients with heart failure (HF). HF is often comorbid with cognitive impairment. Appropriate self-care can prevent HF hospital readmissions but requires access to resources through insurance. Racial differences exist between insurance types, and this may influence the disparity between races and patients with HF and cognitive impairment. OBJECTIVE: The objectives of this study were to examine the relationships between insurance type and self-care stratified by race and to assess for differences in time-to-30-day readmission among patients with HF with cognitive impairment. METHODS: This is a secondary analysis of data collected among hospitalized patients with HF with cognitive impairment. Patients completed surveys on self-care (Self-Care of Heart Failure Index), HF knowledge (Dutch Heart Failure Knowledge Scale), depression (Geriatric Depression Scale), and social support (Enhancing Recovery in Coronary Heart Disease Social Support Inventory). Socioeconomic data were collected. Linear models were created to examine the relationships between insurance type and self-care by race. Kaplan-Meier curves and Cox regression were used to assess readmission. RESULTS: The sample of 125 patients with HF with cognitive impairment was predominantly Black (68%, n = 85) and male (53%, n = 66). The sample had either Medicare/Medicaid (62%, n = 78) or private insurance (38%, n = 47). Black patients with HF with cognitive impairment and private insurance reported higher self-care confidence compared with Black patients with HF with cognitive impairment and Medicare/Medicaid ( P < .05). Medicare/Medicaid was associated with a higher frequency of 30-day readmission and a faster time-to-readmission. CONCLUSIONS: Patients with HF with cognitive impairment and Medicare/Medicaid insurance reported lower self-care confidence and more likely to be readmitted within 30 days.

Association of estimated pulse wave velocity with cognitive function in a multiethnic diverse population: The Northern Manhattan Study.

INTRODUCTION: Arterial stiffness is linked to age-related cognitive dysfunction. Estimated pulse wave velocity (ePWV) is associated with cerebrovascular disease. We sought to determine whether ePWV was associated with cognition in a multiethnic population. METHODS: We included 1257 participants enrolled in a Northern Manhattan Study magnetic resonance imaging MRI-cognitive study (mean age 64 ± 8 years, 61% women, 67% Hispanic, 18% non-Hispanic Black, 15% non-Hispanic white) and analyzed cognitive performance at two time points, at enrollment and on an average 5.0 ± 0.6 years later. ePWV was calculated using baseline age and blood pressure. Cognition and cognitive change scores were regressed on ePWV in multivariable linear regression models. RESULTS: In adjusted models, ePWV (mean 11 ± 2 m/s) was significantly associated with cognition (b = -0.100, 95% CI, -0.120, -0.080) and cognitive change over time (b = -0.063, 95% CI, -0.082, -0.045). Effect modification by race and sex was found. DISCUSSION: In this multiethnic population, the associations of ePWV with cognitive performance underline the role of vascular stiffness in age-related cognitive decline. HIGHLIGHTS: ePWV is a modest but independent predictor of cognitive function and cognitive decline among older individuals. After adjustment, the ePWV measure was inversely associated with performance and decline in global cognition, processing speed, episodic memory, executive function, and semantic memory. After adjustment, modification of the association between ePWV and change in episodic memory and executive function by race and ethnicity was suggested by a significant interaction term. The association between ePWV and episodic memory decline was stronger in females.

Epidemiology and prevalence of dementia and Alzheimer's disease in American Indians: Data from the Strong Heart Study.

INTRODUCTION: Accurate epidemiologic estimates for dementia are lacking for American Indians, despite substantive social and health disparities. METHODS: The Strong Heart Study, a population-based cohort of 11 American Indian tribes, conducted detailed cognitive testing and examinations over two visits approximately 7 years apart. An expert panel reviewed case materials for consensus adjudication of cognitive status (intact; mild cognitive impairment [MCI]; dementia; other impaired/not MCI) and probable etiology (Alzheimer's disease [AD], vascular bain injury [VBI], traumatic brain injury [TBI], other). RESULTS: American Indians aged 70-95 years had 54% cognitive impairment including 10% dementia. VBI and AD were primary etiology approximately equal proportions (>40%). Apolipoprotein (APO) Eε4 carriers were more common among those with dementia (p = 0.040). Plasma pTau, glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) were higher among those with cognitive impairment, but not amyloid beta (Aß). Cognitive intact had mean 3MSE 92.2 (SD 6.4) and mean Montreal Cognitive Assessment (MoCA) score of 21.3 (SD 3.2). DISCUSSION: This is the first population-based study to estimate the prevalence of vascular and Alzheimer's dementias in a population-based study of American Indians. HIGHLIGHTS: The Strong Heart Study is a population-based cohort of American Indian tribes, conducted over 30+ years and three US geographic regions (Northern Plains, Southern Plains, Southwest). Our teams conducted detailed cognitive testing, neurological examination, and brain imaging over two visits approximately 7 years apart. An expert panel reviewed collected materials for consensus-based adjudication of cognitive status (intact; MCI; dementia; other impaired/not MCI) and probable underlying etiology (AD; VBI; TBI; other). In this cohort of American Indians aged 70-95, 54% were adjudicated with cognitive impairment, including approximately 35% MCI and 10% dementia. These data expand on prior reports from studies using electronic health records, which had suggested prevalence, and incidence of dementia in American Indians to be more comparable to the majority population or non-Hispanic White individuals, perhaps due to latent case undercounts in clinical settings. Vascular and neurodegenerative injuries were approximately equally responsible for cognitive impairment, suggesting that reduction of cardiovascular disease is needed for primary prevention. Traumatic injury was more prevalent than in other populations, and common among those in the "other/not MCI" cognitive impairment category. Mean scores for common dementia screening instruments-even among those adjudicated as unimpaired-were relatively low compared to other populations (mean unimpaired 3MSE 92.2, SD 6.4; mean unimpaired MoCA 21.3, SD 3.2), suggesting the need for cultural and environmental adaptation of common screening and evaluation instruments.

Racial and ethnic differences in the association between depressive symptoms and cognitive outcomes in older adults: Findings from KHANDLE and STAR.

INTRODUCTION: Depressive symptoms are associated with higher risk of dementia, but how they impact cognition in diverse populations is unclear. METHODS: Asian, Black, Latino, or White participants (n = 2227) in the Kaiser Healthy Aging and Diverse Life Experiences (age 65+) and the Study of Healthy Aging in African Americans (age 50+) underwent up to three waves of cognitive assessments over 4 years. Multilevel models stratified by race/ethnicity were used to examine whether depressive symptoms were associated with cognition or cognitive decline and whether associations differed by race/ethnicity. RESULTS: Higher depressive symptoms were associated with lower baseline verbal episodic memory scores (-0.06, 95% CI: -0.12, -0.01; -0.15, 95% CI: -0.25, -0.04), and faster decline annually in semantic memory (-0.04, 95% CI: -0.07, -0.01; -0.10, 95% CI: -0.15, -0.05) for Black and Latino participants. Depressive symptoms were associated with lower baseline but not decline in executive function. DISCUSSION: Depressive symptoms were associated with worse cognitive outcomes, with some evidence of heterogeneity across racial/ethnic groups. HIGHLIGHTS: We examined whether baseline depressive symptoms were differentially associated with domain-specific cognition or cognitive decline by race/ethnicity. Depressive symptoms were associated with worse cognitive scores for all racial/ethnic groups across different domains examined. Higher depressive symptoms were associated with faster cognitive decline for semantic memory for Black and Latino participants. The results suggest a particularly harmful association between depressive symptoms and cognition in certain racial/ethnic groups.

African American patients have a higher probability of cognitive impairment after incident stroke: An analysis of national electronic health record data.

BACKGROUND: Cognitive impairment (CI) and stroke are diseases with significant disparities in race and geography. Post stroke cognitive impairment (PSCI) can be as high as 15-70 % but few studies have utilized large administrative or electronic health records (EHR) to evaluate trends in PSCI. We utilized an EHR database to evaluate for disparities in PSCI in a large sample of patients after first recorded stroke to evaluate for disparities in race. METHODS: This is a retrospective cohort analysis of Cerner Health Facts® EHR database, which is comprised of EHR data from hundreds of hospitals/clinics in the US from 2009-2018. We evaluated patients ≥40 years of age with a first time ischemic stroke (IS) diagnosis for PSCI using ICD9/10 codes for both conditions. Patients with first stroke in the Cerner database and no pre-existing cognitive impairment were included, we compared hazard ratios for developing PSCI for patient characteristics RESULTS: A total of 150,142 IS patients with follow-up data and no pre-existing evidence of CI were evaluated. Traditional risk factors of age, female sex, kidney injury, hypertension, and hyperlipidemia were associated with PSCI. Only African American stroke survivors had a higher probability of developing PSCI compared to White survivors (HR 1.347, 95 % CI (1.270, 1.428)) and this difference was most prominent in the South. Among those to develop PSCI, median time to documentation was 1.8 years in African American survivors. CONCLUSION: In a large national database, African American stroke survivors had a higher probability of PSCI five years after stroke than White survivors.

Comorbid Conditions Are Associated With Cognitive Impairment in Native Hawaiians and Pacific Islanders.

We examined the association between comorbid conditions and mild cognitive impairment (MCI) in Native Hawaiians and Pacific Islanders (NHPI) (n = 54). Cross-sectional, self-reported questionnaires were utilized to collect demographic, comorbid conditions, and MCI (via the AD8 index) data. Separate logistic regression models were conducted to investigate the relationship between comorbid conditions and MCI, adjusting for other covariates. We found significantly increased odds of MCI in those reporting high blood pressure (OR = 5.27; 95% CI: [1.36, 20.46]; p = 0.016), high cholesterol (OR = 7.30; 95% CI: [1.90, 28.14], p = 0.004), and prediabetes or borderline diabetes (OR = 4.53; 95% CI: [1.27, 16.16], p = 0.02) compared with those not reporting these respective conditions. These data show that hypertension, hypercholesterolemia, and prediabetes are associated with MCI in the NHPI community, suggesting that preventive strategies to reduce chronic conditions may also potentially slow cognitive decline in underrepresented/understudied NHPI.

The longitudinal relationship between levels of leisure-time physical activity and positive and negative affect among older foreign-born adults with mild cognitive impairment.

BACKGROUND: The purpose of this study was to investigate the longitudinal impact of different levels of leisure-time physical activity (LTPA) participation on positive and negative affect among older foreign-born adults with mild cognitive impairment (MCI). METHODS: This study used 2012 to 2020 data from the Health and Retirement Study data (n = 1206) that was analyzed using repeated measured multivariate analysis of covariance. RESULTS: The high-level participation LTPA group reported higher positive affect and lower negative affect than the mid and low-level participation groups. The mid-level LTPA group also reported higher positive and lower negative affect than the low-level LTPA group. CONCLUSIONS: This study provides evidence that high levels of LTPA participation contribute to an increase in positive affect and a reduction of negative affect among older foreign-born adults with MCI. The findings of this study will help fill the gap in research on the longitudinal relationship between levels of LTPA participation and positive and negative affect among older foreign-born adults.

Perspectives From Black and White Participants and Care Partners on Return of Amyloid and Tau PET Imaging and Other Research Results.

PURPOSE: Alzheimer disease (AD) biomarker testing is now common in research and approaching clinical translation. Disclosure protocols must be informed by diverse participants' perspectives on if/how the information would be useful. METHODS: This study utilized semistructured interviews assessing interest in receiving positron emission tomography (PET) amyloid and tau results, as well as perceived risks and benefits of hypothetical PET disclosure as a function of race and participant diagnosis. PARTICIPANTS: Participants [39% Black; 61% White; Mage =74.28 (5.98)] included 57 adults diagnosed as either cognitively healthy (58%) or with mild cognitive impairment (42%) and their respective care partners [33% Black; 67% White; Mage =66.93 (10.92)]. RESULTS: Most dyads endorsed strong interest in PET results (82.5% of both participants and partners) regardless of race or diagnosis. Black care partners were less interested in receiving the participant's results than White care partners ( χ2(4) =8.31, P =0.047). Reasons for disclosure were diverse and highly personalized, including access to treatments or clinical trials (23.2% participants; 29.8% partners), advance planning (14.3% participants; 17.5% partners), and improved health knowledge (12.5% participants; 15.8% partners). In contrast, over 80% of respondents denied any risks of disclosure. DISCUSSION: Results suggest that predisclosure education, decisional capacity assessment, and a flexible disclosure approach are needed.

The Measurement of Everyday Cognition (ECog): Revisions and Updates.

INTRODUCTION: The Everyday Cognition scale (ECog), a measure of everyday functioning developed in 2008, is sensitive to early detection and progression of neurodegenerative disease. The goal was to update ECog item content to ensure relevancy to contemporary older adults from diverse backgrounds. METHODS: Participants included 44 culturally diverse older adults (18 with normal cognition, 11 with mild cognitive impairment) and their study partners. Item understandability and relevance was evaluated using iterative interviewing methods that were analyzed using standard qualitative methods. On the basis of this information, items were modified, deleted, or developed as needed. RESULTS: Of the 39 original items, 19 were revised, 3 new items were added (primarily to cover contemporary activities such as the use of technology), and 1 was deleted. The revised version (ECog-II) includes 41 items. DISCUSSION: To ensure strong psychometric properties, and to facilitate harmonization of previously collected data, we preserved well over half of the items. Future work will validate the revised ECog by measuring associations with neuropsychological performance, external measures of disease, and other functional measures. Overall, the revised ECog will continue to be a useful tool for measuring cognitively relevant everyday abilities in clinical settings and intervention clinical trials.

Inequalities in cognitive impairment among older adults in China and the associated social determinants: a decomposition approach.

BACKGROUND: Despite there is growing evidence focusing on health inequalities in China, socioeconomic inequalities in cognitive impairment among older adults have received little attention. This study aims to measure socioeconomic inequalities in cognitive impairment among Chinese older adults, and determine the contributing social factors to the inequalities. METHODS: A cross-sectional analysis was performed using data from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS). A total of 10,556 older adults aged 65 and over were included in the study. The prevalence of cognitive impairment was measured by using the Chinese version of the Mini-Mental State Examination. The socioeconomic inequalities in cognitive impairment were illustrated and quantified by the concentration curve and normalized concentration index. Multivariate logistic regression was conducted to identify the associated factors of cognitive impairment. And decomposition analysis was further applied to decompose the contribution of each determinant to the observed inequalities in cognitive impairment. RESULTS: The study indicated that the prevalence of cognitive impairment among Chinese older adults was 18.95%. The overall concentration index for cognitive impairment was - 0.046, which suggested a higher concentration of cognitive impairment among socioeconomically disadvantaged older adults. The results showed the prevalence of cognitive impairment was associated with sex, age, marital status, education level, occupation, economic status, emotional support, financial support, living arrangement, and participation in informal activities. Decomposition results further revealed the contributions of the determinants to the inequalities in cognitive impairment. Specifically, age (131.61%), marital status (85.68%), emotional support (84.85%), education level (39.73%), occupation (21.24%), sex (17.25%), financial support (- 4.19%), economic status (1.02%), living arrangement (0.88%), and informal activities (0.30%) have varying degrees of contributions to the inequality in cognitive impairment. CONCLUSION: This study sheds light on the pro-rich inequality in cognitive impairment among older adults in China. It suggests that policymakers should pay more attention to older adults who are female, old-old, widowed, illiterate, economically disadvantaged, with no social support, and less socially involved. Also, more targeted interventions should be undertaken to improve the socioeconomic conditions of these vulnerable individuals and strengthen their ability to cope with the risk of cognitive impairment.

The "cognitive clock": A novel indicator of brain health.

INTRODUCTION: We identified a "cognitive clock," a novel indicator of brain health that provides person-specific estimates of cognitive age, and tested the hypothesis that cognitive age is a better predictor of brain health than chronological age in two independent datasets. METHODS: The initial analyses were based on 1057 participants from the Rush Memory and Aging Project and the Religious Orders Study who began without impairment and underwent cognitive assessments up to 24 years. A shape invariant model characterized the latent pattern of cognitive decline, conceptualized here as the "cognitive clock," and yielded person-specific estimates of cognitive age. Survival analyses examined cognitive versus chronological age for predicting Alzheimer's disease dementia, mild cognitive impairment and mortality, and regression analyses examined associations of cognitive versus chronological age with neuropathology and brain atrophy. Finally, we applied the cognitive clock to an independent validation sample of 2592 participants from the Chicago Health and Aging Project, a biracial population-based study, to confirm the predictive utility of cognitive age. RESULTS: The "cognitive clock" showed that cognition remained stable until a cognitive age of about 80, then declined moderately until 90, then declined precipitously. In the initial dataset, cognitive age was a better predictor of dementia, mild cognitive impairment and mortality than chronological age, and was more strongly associated with neuropathology and brain atrophy. Application of the cognitive clock to the independent validation sample provided further support for the utility of cognitive age as a strong prognostic indicator of adverse outcomes. DISCUSSION: Cognitive age is a robust prognostic indicator of adverse health outcomes and may serve as a useful biomarker in aging research.