Introduction The Montreal Cognitive Assessment (MoCA), scored from 0 to 30, is used as a screening tool for mild cognitive impairment (MCI). The current cutoff (26) may not be optimal among minorities. Methods Data from the National Alzheimer's Coordinating Center Uniform Data Set March 2018 data freeze was used to calculate optimal cutoffs for detection of MCI and dementia by race/ethnic group and education. Results Of the 3895 individuals included, 80.7% were non-Hispanic White, 15.0% were non-Hispanic Black, and 4.2% were Hispanic. Optimal cutoffs for detection of MCI were 25 among non-Hispanic Whites, 24 among Hispanics, and 23 among non-Hispanic Blacks. Optimal cutoffs for detection of dementia were 19 among non-Hispanic Whites and 16 for both non-Hispanic Blacks and Hispanics. Lower educational attainment produced lower optimal cutoffs. Discussion Our findings suggest cutoffs may need to be stratified by race/ethnicity and education to ensure detecting MCI from normal and MCI from dementia.

Sex or gender differences in the risk of Alzheimer's disease and related dementias (ADRD) differ by world region, suggesting that there are potentially modifiable risk factors for intervention. However, few epidemiological or clinical ADRD studies examine sex differences; even fewer evaluate gender in the context of ADRD risk. The goals of this perspective are to: (1) provide definitions of gender, biologic sex, and sexual orientation. and the limitations of examining these as binary variables; (2) provide an overview of what is known with regard to sex and gender differences in the risk, prevention, and diagnosis of ADRD; and (3) discuss these sex and gender differences from a global, worldwide perspective. Identifying drivers of sex and gender differences in ADRD throughout the world is a first step in developing interventions unique to each geographical and sociocultural area to reduce these inequities and to ultimately reduce global ADRD risk.

IMPORTANCEThe ongoing COVID-19 pandemic and associated mitigation measures have disrupted access to psychiatric medications, particularly for women. OBJECTIVE To assess the sex differences in trends in the prescribing of benzodiazepines, Z-hypnotics and serotonergic (selective serotonin reuptake inhibitors [SSRIs] and serotonin and norepinephrine reuptake inhibitors [SNRIs]), which are commonly prescribed for anxiety, insomnia, and depression.

Objectives To examine the association between multi-morbid chronic disease and frequency of past six months emergency department (ED) visits, by gender, in a community sample of adults from North Florida (N=7,143). Methods Using logistic regression, we estimated associations between multi-morbid chronic disease and frequent ED use, using gender as an effect modifier. Results Multi-morbid chronic disease was associated with frequent ED use overall, with a stronger association among males. Of the 7,143 respondents, 14.4% were frequent ED users, 58.0% were female, and 61.5% were Black Non-Hispanic. Major findings included that females with 3+ chronic diseases were 2.49 (95% CI= 1.7, 3.6) times as likely as females without chronic diseases to report frequent ED use, compared to males with 3+ chronic diseases, who were 4.98 (95% CI= 2.9, 8.6) times as likely as males without chronic disease to report frequent ED use. Conclusions Multi-morbid chronic disease is very strongly associated with frequent ED use among all, but the association is especially strong among males. Future research is needed to further understand this association and its implication for health care.

Introduction: The Montreal Cognitive Assessment (MoCA) is a popular screening tool for Mild Cognitive Impairment (MCI). The psychometric properties of the MoCA have not been widely examined in minority groups. We aimed to analyze the discriminate ability of subtests and items by race and ethnicity given gold-standard clinical diagnosis of cognitive status. Methods: Data come from the National Alzheimer's Coordinating Center Uniform Data Set March 2018 data freeze. Stepwise regression was used to determine which subtests predicted cognitive status (normal cognition, MCI, or dementia), by race/ethnicity. Item discrimination and difficulty was calculated by race/ethnicity and cognitive status. Results: In our sample (n=3,895), with an average age of 69.7, 80.7% were non-Hispanic White, 15.0% were non-Hispanic Black, and 4.2% were Hispanic. Among non-Hispanic Whites all subtests, education, and age predicted clinician diagnosis, while visuospatial/executive, attention, language, delayed recall, and orientation subtests were predictive among non-Hispanic Blacks and visuospatial/executive, delayed recall, and orientation subtests and education were predictive among Hispanics. Item discrimination and difficulty varied by race ethnicity and cognitive status. Conclusions: By understanding the psychometric properties of MoCA subtests, we can focus on subtests that have higher discrimination and more diagnostic utility. Subtests should be further evaluated for use in screening of minority individuals.

Objective: To compare Alzheimer’s disease (AD) knowledge by race and ethnicity in a community sample of middle-aged and older adults aged 50 and over in Florida. Method: Data from HealthStreet, a University of Florida community engagement program, which uses community health workers to assess the health conditions, concerns, and knowledge of community members, was used ( n = 842). A multivariate regression model was used to quantify differences in AD knowledge by race and ethnicity. Results: Older age and recruitment from Miami were associated with higher AD knowledge while being non-Hispanic Black, reporting male sex, having less than high school diploma, and reporting food insecurity were associated with lower AD knowledge. Discussion: Hispanics had comparable AD knowledge to non-Hispanic Whites and more knowledge than non-Hispanic Blacks after adjusting for other factors that could differentiate these groups. Almost half of the participants did not know hypertension is a risk factor for AD, highlighting a point of intervention.

Introduction Older adults, including racial and ethnic minorities, are underrepresented in research. As the US population ages, the number of older racial and ethnic minority individuals will increase. Including these individuals in research is an important step towards reducing health disparities. Methods We used data from HealthStreet, a University of Florida community engagement program which uses community health workers to assess the health of the community, to assess willingness to participate in different types of health research by race/ethnicity. Descriptive statistics and logistic regression models were used to assess willingness to participate among adults aged 50 and older, by race/ethnicity (n = 4694). Results Our sample was 42.0% non-Hispanic White, 52.8% non-Hispanic Black, and 5.2% Hispanic. Non-Hispanic White participants reported more past research participation than non-Hispanic Black and Hispanic participants (28.7% vs. 19.0% and 19.2%, respectively). Compared with non-Hispanic White participants, non-Hispanic Black participants were less willing to participate in most types of studies, while Hispanic participants were less willing to participate in studies that might be seen as invasive (required blood sample, genetic sample, or participants to take medicine, or use of medical equipment). Conclusions Our study provides investigators with a general profile of research preferences by race/ethnicity; compared with non-Hispanic White individuals, non-Hispanic Black individuals are less willing to participate in most studies, while Hispanic individuals are less willing to participate in studies that may be seen as invasive or demanding. It is imperative to include diverse older adults in health research. By tailoring research based on preferences we can improve recruitment in underrepresented populations.

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