Exploring Pathways to Caregiver Health: The Roles of Caregiver Burden, Familism, and Ethnicity.

OBJECTIVES: This study examines the associations of ethnicity, caregiver burden, familism, and physical and mental health among Mexican Americans (MAs) and non-Hispanic Whites (NHWs). METHODS: We recruited adults 65+ years with possible cognitive impairment (using the Montreal Cognitive Assessment score<26), and their caregivers living in Nueces County, Texas. We used weighted path analysis to test effects of ethnicity, familism, and caregiver burden on caregiver's mental and physical health. RESULTS: 516 caregivers and care-receivers participated. MA caregivers were younger, more likely female, and less educated compared to NHWs. Increased caregiver burden was associated with worse mental (B = -0.53; p < .001) and physical health (B = -0.15; p = .002). Familism was associated with lower burden (B = -0.14; p = .001). MA caregivers had stronger familism scores (B = 0.49; p < .001). DISCUSSION: Increased burden is associated with worse caregiver mental and physical health. MA caregivers had stronger familism resulting in better health. Findings can contribute to early identification, intervention, and coordination of services to help reduce caregiver burden.

Cannabis reduction among adolescents as spillover from successful tobacco control.

BACKGROUND: National programs that reduce adolescent cannabis use warrant renewed attention in light of current discussions to reform cannabis legislation, including the possibility of legalization for recreational use. This study measures the size of a decrease in a country's prevalence of adolescent cannabis use that accompanies a decrease in its prevalence of adolescents who had ever smoked a cigarette. METHODS: Data are from the European School Survey Project on Alcohol and Other Drugs (ESPAD), which is a collaborative effort of more than 40 European countries to surveil adolescent substance use. This study uses data from the seven survey administrations in 1995, 1999, 2003, 2007, 2011, 2015, and 2019. The main analysis is a fixed-effect regression analysis of country-level, four-year changes in adolescent lifetime cannabis use prevalence on country-level, four-year changes in adolescent lifetime cigarette use prevalence. RESULTS: Decreases in the national prevalence of adolescents who had ever smoked a cigarette were accompanied by decreases half as large in national prevalence of adolescent lifetime cannabis use. CONCLUSION: For European countries considering the legalization of adult recreational cannabis use, tobacco control can offer a tool to help counter potential increases in cannabis use among adolescents.

Population Weighting in Statistical Analysis.

This Guide to Statistics and Methods provides an overview of weighted analyses of population-based surveys, which can help achieve statistically valid, representative population-based findings.

A Community-Based Study of Dementia in Mexican American and Non-Hispanic White Individuals.

BACKGROUND: Little information is available on the prevalence of cognitive impairment in Mexican American persons. OBJECTIVE: To determine the prevalence of mild cognitive impairment (MCI) and dementia in those 65 years and older among Mexican American and non-Hispanic white individuals in a community. METHODS: This was a population-based cohort study in Nueces County, Texas, USA. Participants were recruited using a random housing sample. The Harmonized Cognitive Assessment (HCAP) participant and informant protocol was performed after Montreal Cognitive Assessment (MoCA) screening. An algorithm was used to sort participants into diagnostic categories: no cognitive impairment, MCI, or dementia. Logistic regression determined the association of ethnicity with MCI and dementia controlling for age, gender, and education. RESULTS: 1,901 participants completed the MoCA and 547 the HCAP. Mexican Americans were younger and had less educational attainment than non-Hispanic whites. Overall, dementia prevalence was 11.6% (95% CI 9.2-14.0) and MCI prevalence was 21.2% (95% CI 17.5-24.8). After adjusting for age, gender, and education level, there was no significant ethnic difference in the odds of dementia or MCI. Those with ≤11 compared with ≥16 years of education had much higher dementia [OR = 4.9 (95% CI 2.2-11.1)] and MCI risk [OR = 3.5 (95% CI 1.6-7.5)]. CONCLUSIONS: Dementia and MCI prevalence were high in both Mexican American and non-Hispanic white populations. Mexican American persons had double the odds of mild cognitive impairment and this was attenuated when age and educational attainment were considered. Educational attainment was a potent predictor of cognitive impairment.

A Community-Based Study of Cognitive Impairment Caregiving Outcomes Pre- and During the COVID-19 Pandemic.

The impact of the COVID-19 pandemic on informal caregiving was examined in a Mexican American (MA) and Non-Hispanic White (NHW) population-based cohort. 395 participants age > 65 years were recruited via door-to-door and phone recruitment as part of the Brain Attack Surveillance in Corpus Christi-Cognitive (BASIC-C) project. Both recipients and caregivers answered questions regarding the recipient's health and the COVID-19 pandemic. 15% of caregivers saw their caregiving recipient less than before the pandemic and 18% saw their recipient more than before. 55% of caregivers reported a slight to severe impact of the pandemic on their caregiving, and 45% reported no impact. For most caregivers, their caregiving role did not change markedly during the pandemic. MA and NHW caregivers had similar survey responses.

Driving predictors in a cohort of cognitively impaired Mexican American and non-Hispanic White individuals.

BACKGROUND: Individuals with Alzheimer's disease and Alzheimer's disease-related dementias may lose the ability to drive safely as their disease progresses. Little is known about driving prevalence in older Latinx and non-Hispanic White (NHW) individuals. We investigated the prevalence of driving status among individuals with cognitive impairment in a population-based cohort. METHODS: This was a cross-sectional analysis of the cohort BASIC-Cognitive study in a community of Mexican American (MA) and NHW individuals in South Texas. Participants scored ≤25 on the Montreal Cognitive Assessment (MoCA), indicating a likelihood of cognitive impairment. Current driving status was assessed by the Harmonized Cognitive Assessment Protocol informant interview. Logistic regression was used to assess driving versus non-driving adjusted for pre-specified covariates. Chi-square and Mann-Whitney U tests were used to compare NHW and MA differences in driving outcomes from the American Academy of Neurology (AAN) questions for evaluating driving risk in dementia. RESULTS: There were 635 participants, 77.0 mean age, 62.4% women, and 17.3 mean MoCA. Of these, 360 (61.4%) were current drivers with 250 of 411 (60.8%) MA participants driving, and 121 of 190 (63.70%) NHW participants driving (p = 0.50). In fully adjusted models age, sex, cognitive impairment, language preference, and Activities of Daily Living scores were significant predictors for the likelihood of driving (p < 0.0001). Severity of cognitive impairment was inversely associated with odds of driving, but this relationship was not found in those preferring Spanish language for interviews. Around one-third of all caregivers had concerns about their care-recipient driving. There were no significant differences in MA and NHW driving habits and outcomes from the AAN questionnaire. CONCLUSIONS: The majority of participants with cognitive impairment were currently driving. This is a cause for concern for many caregivers. There were no significant ethnic driving differences. Associations with current driving in cognitively impaired persons require further research.

A community-based study of reporting demographic and clinical information concordance between informants and cognitively impaired participants.

BACKGROUND: Understanding concordance between informants' and cognitively impaired participants' information reporting is crucial for Alzheimer's and Alzheimer's-related dementia studies. METHODS: The Brain Attack Surveillance in Corpus Christi-Cognitive is a community-based cohort study. Households in Nueces County, Texas, USA, were randomly identified. 330 dyads of participants and their named informants answered questions. Models were generated to examine which predictors, including age, gender, ethnicity, cognitive function, and relationship to informant, influenced answer discordance. RESULTS: For demographic items, female participants and participants with spouses/partners as informants had significantly less discordance, with incidence rate rations (IRRs) of 0.65 (CI = 0.44, 0.96) and 0.41 (CI = 0.23, 0.75), respectively. For health items, better cognitive function of the participant was associated with less discordance, with an IRR of 0.85 (CI = 0.76, 0.94). CONCLUSIONS: Demographic information concordance is most associated with gender and informant-participant relationship. Level of cognitive function is most associated with concordance for health information. CLINICALTRIALS: gov identifier NCT03403257.

Recent Stressful Experiences and Suicide Risk: Implications for Suicide Prevention and Intervention in U.S. Army Soldiers.

Objectives: To identify the extent to which the presence of recent stressful events are risk factors for suicide among active-duty soldiers as reported by informants. Methods: Next-of-kin (NOK) and supervisors (SUP) of active duty soldiers (n = 135) who died by suicide and two groups of living controls: propensity-matched (n = 128) and soldiers who reported suicidal ideation in the past year, but did not die (SI) (n = 108) provided data via structured interviews from the Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Multivariate logistic regression analyses were used to create a risk score for suicide. Results: The odds of suicide increased significantly for soldiers experiencing relationship problems, military punishment, and perceived failure or humiliation in the month prior to death. Suicide risk models with these risk factors predicted suicide death among those who reported SI in the past year (OR = 5.9, [95% CI = 1.5, 24.0] χ 2 = 6.24, p = 0.0125, AUC, 0.73 (0.7, 0.8) NOK) and (OR = 8.6, [95% CI = 1.4, 51.5] χ 2 = 5.49, p = 0.0191, AUC, 0.78 (0.7, 0.8); SUP) suggesting the combination of these recent stressors may contribute to the transition from ideation to action. Conclusions: Our findings suggest for the first time recent stressors distinguished suicide ideating controls from suicide decedents in the month prior to death as reported by informants. Implications for preventive intervention efforts for clinicians, supervisors and family members in identifying the transition from ideation to action are discussed.

Why weight? Analytic approaches for large-scale population neuroscience data.

Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data. The following is a resource for researchers interested in using population-based neuroimaging data. We provide an overview of sampling designs and describe the differences between traditional model-based analyses and survey-oriented design-based analyses. To elucidate key concepts, we leverage data from the Adolescent Brain Cognitive Development℠ Study (ABCD Study®), a population-based sample of 11,878 9-10-year-olds in the United States. Analyses revealed modest sociodemographic discrepancies between the target population of 9-10-year-olds in the U.S. and both the recruited ABCD sample and the analytic sample with usable structural and functional imaging data. In evaluating the associations between socioeconomic resources (i.e., constructs that are tightly linked to recruitment biases) and several metrics of brain development, we show that model-based approaches over-estimated the associations of household income and under-estimated the associations of caregiver education with total cortical volume and surface area. Comparable results were found in models predicting neural function during two fMRI task paradigms. We conclude with recommendations for ABCD Study® users and users of population-based neuroimaging cohorts more broadly.

Estimating the Prevalence of Dementia and Mild Cognitive Impairment in the US: The 2016 Health and Retirement Study Harmonized Cognitive Assessment Protocol Project.

Importance: Nationally representative data are critical for understanding the causes, costs, and outcomes associated with dementia and mild cognitive impairment (MCI) in the US and can inform policies aimed at reducing the impact of these conditions on patients, families, and public programs. The nationally representative Health and Retirement Study (HRS) is an essential resource for such data, but the HRS substudy providing dementia diagnostic information was fielded more than 20 years ago and more recent data are needed. Objective: The Harmonized Cognitive Assessment Protocol (HCAP) was developed to update national estimates of the prevalence of MCI and dementia in the US and examine differences by age, race, ethnicity, and sex. Design, Setting, and Participants: HRS is an ongoing longitudinal nationally representative study of people 51 years and older with staggered entry dates from 1992 to 2022 and follow-up ranging from 4 to 30 years. HCAP is a cross-sectional random sample of individuals in HRS who were 65 years or older in 2016. Of 9972 age-eligible HRS participants, 4425 were randomly selected for HCAP, and 3496 completed a comprehensive neuropsychological test battery and informant interview, none of whom were excluded. Dementia and MCI were classified using an algorithm based on standard diagnostic criteria and comparing test performance to a robust normative sample. Exposures: Groups were stratified by age, sex, education, race, and ethnicity. Main Outcomes and Measures: National prevalence estimates using population weights. Results: The mean (SD) age of the study population sample (N = 3496) was 76.4 (7.6) years, and 2095 participants (60%) were female. There were 551 participants who self-identified as Black and not Hispanic (16%), 382 who self-identified as Hispanic regardless of race (16%), 2483 who self-identified as White and not Hispanic (71%), and 80 who self-identified as another race (2%), including American Indian or Alaska Native, Asian, Native Hawaiian or Pacific Islander, or another self-described race. A total of 393 individuals (10%; 95% CI, 9-11) were classified as having dementia and 804 (22%; 95% CI, 20-24) as having MCI. Every 5-year increase in age was associated with higher risk of dementia (weighted odds ratio [OR], 1.95 per 5-year age difference; 95%, CI, 1.77-2.14) and MCI (OR, 1.17 per 5-year age difference, 95% CI, 1.09-1.26). Each additional year of education was associated with a decrease in risk of dementia (OR, 0.93 per year of school, 95% CI, 0.89-0.97) and MCI (OR, 0.94, 95% CI, 0.91-0.97). Dementia was more common among non-Hispanic Black individuals (OR, 1.81; 95% CI, 1.20-2.75) and MCI in Hispanic individuals (OR, 1.42; 95% CI, 1.03-1.96) compared with non-Hispanic White individuals. Other group comparisons by race and ethnicity were not possible owing to small numbers. No differences in prevalence were found between female individuals and male individuals. Conclusions and Relevance: Using a comprehensive neuropsychological test battery and large sample, the national prevalence of dementia and MCI in 2016 found in this cross-sectional study was similar to that of other US-based studies, indicating a disproportionate burden of dementia and MCI among older Black and Hispanic adults and those with lower education.

Differential Impact of Stroke on Cognitive Impairment in Mexican Americans and Non-Hispanic White Americans.

BACKGROUND: The association between stroke and dementia is well established. Less is known about this association in underrepresented ethnic groups. In a large ethnically diverse cohort, we examined whether history of stroke was associated with cognitive impairment, and whether this relationship differed by ethnicity (Mexican American [MA] versus non-Hispanic White). METHODS: This was a population-based cohort study conducted in Nueces County, TX, a biethnic community with a large and primarily nonimmigrant MA population. Residents aged ≥65 were recruited door-to-door or by telephone between May 2018 and December 2021. The primary exposure was history of stroke, obtained by self-report. Demographic, medical, and educational histories were also obtained. The primary outcome was the Montreal Cognitive Assessment (MoCA), a scale that evaluates multiple domains of cognitive performance. Scores were divided into 3 ordinal categories, roughly corresponding to normal cognition (MoCA 26-30), mild cognitive impairment (MoCA 20-25), or probable dementia (MoCA 0-19). RESULTS: One thousand eight hundred one participants completed MoCA screening (55% female; 50% MA, 44% Non-Hispanic White, 6% other), of whom 12.4% reported history of stroke. Stroke prevalence was similar across ethnicities (X2 2.1; P=0.34). In a multivariable cumulative logit regression model for the ordinal cognition outcome, a stroke by ethnicity interaction was observed (P=0.01). Models stratified by ethnicity revealed that stroke was associated with cognitive impairment across ethnicities, but had greater impact on cognition in non-Hispanic Whites (cumulative odds ratio=3.81 [95% CI, 2.37-6.12]) than in MAs (cumulative odds ratio=1.58 [95% CI, 1.04-2.41]). Increased age and lower educational attainment were also associated with cognitive impairment, regardless of ethnicity. CONCLUSIONS: History of stroke was associated with increased odds of cognitive impairment after controlling for other factors in both MA and Non-Hispanic White participants. The magnitude of the impact of stroke on cognition was less in MA than in Non-Hispanic White participants.

Neighborhood SES and Cognitive Function Among Hispanic/Latinx Residents: Why Where You Live Matters.

INTRODUCTION: Few studies have examined the impacts of neighborhood SES and individual ethnicity and SES characteristics on cognitive function in aging populations. Hispanics/Latinx are more likely to have cognitive impairment and be community dwellers than non-Hispanic Whites. Neighborhood factors can have greater impacts on the relationship between Hispanics/Latinx and cognitive function. This study examines these relationships in Nueces County, Texas. METHODS: A mixed-effects regression analysis of data from 1,140 older adults participating in the Brain Attack Surveillance in Corpus Christi - Cognitive project from 2018 to 2020 was completed. Cognitive function was measured with the Montreal Cognitive Assessment, a cognitive screening measure. Participant addresses were geocoded to obtain census tracts, which were proxies for neighborhoods. Neighborhood SES was measured by household median income, percentage of Hispanic/Latinx residents, and percentage of residents aged ≥65 years with Medicaid, all from the American Community Survey. Interactions were used to examine the impact of neighborhood SES on ethnicity and cognitive function. RESULTS: The sample consisted of 62.5% Hispanic/Latinx and 37.5% non-Hispanic White participants. Results from the F-statistics, test of effects, indicate that being older (F4,1138=45.04; p<0.001), being a man (F1,1130=4.35; p<0.050), having low education (F3,1121=40.83; p<0.001), completing the Montreal Cognitive Assessment test in Spanish (F1,1140=15.35; p<0.001), and being Hispanic/Latinx (F1,962=20.84; p<0.001) were all associated with lower Montreal Cognitive Assessment scores. Neighborhood income was positively associated (F1,69.6=6.95; p<0.050) with Montreal Cognitive Assessment scores. Neighborhood income (ß=0.32; p<0.050) and percentage with Medicaid (ß=0.06; p<0.050) independently moderated the associations between ethnicity and Montreal Cognitive Assessment scores. CONCLUSIONS: Findings suggest that neighborhood SES could further impact cognitive function independent of individual characteristics. This could be attributed to minimal resources in communities with lower SES, impacting policies and programs for older individuals, particularly those with worse cognitive function.

Mexican Americans Participate in Research More than Expected while non-Hispanic Whites Participate Less than Expected.

OBJECTIVE: To identify Hispanic/Latinx and non Hispanic White participation rates in a community-based project using door-to-door recruitment. METHODS: We conducted a two-stage area probability sample of housing units in Nueces County, Texas, using Census data including Mexican Americans (MAs) and non-Hispanic Whites (NHWs). From May 2018-February 2020, residents over 64 were asked to take a cognitive screen. We compared expected and observed ethnic-specific participation. RESULTS: Nearly a thousand (996) participants enrolled. Accounting for sampling error, the observed count of MAs (n=609) significantly exceeded expectations ([inline-graphic 01], [95% CI: 521,542]). The observed count of NHWs (n=387) was less than expected ([inline-graphic 02], [95% CI: 455, 473]. The sub-group with the largest difference in observed vs. expected participants was MA women, n=376 observed, 306 (95% CI: 300, 312) expected. CONCLUSIONS: Mexican Americans were significantly more likely to participate than expected, challenging the notion that ethnic minority populations are less likely to agree to research.

Lack of Any Caregiving for Those with Dementia.

Older adults with significant cognitive impairment require help with activities of daily living. The BASIC-Cognitive Project, set in Nueces County, Texas, is a community-based study examining trends in cognition among Mexican Americans and non-Hispanic Whites. Using cross-sectional data from a cohort study, we found that at least 7% of individuals aged 65 and older with a Montreal Cognitive Assessment (MoCA) score of < 20 (or < 15 for telephone MoCA), did not receive any caregiving help. This conservative estimate highlights an important community need for those with significant cognitive impairment and has implications regarding safety and care for older adults.

Dementia care needs for individuals and caregivers among Mexican Americans and non-Hispanic Whites.

Mexican Americans (MA) are more likely to have cognitive impairment and dementia (CID), be diagnosed at an earlier age and live with CID longer, compared to non-Hispanic Whites (NHW). While studies have examined unmet needs of individuals with CID and their caregivers, few have focused on MA populations in the U.S. This paper examines the needs of community-residing individuals with CID and their caregivers in Nueces County, Texas, a county with one of the largest MA populations in the U.S., while exploring ethnic differences in needs identified.Using concept mapping, a mixed-method approach, qualitative input on perceived needs by informal caregivers and health professionals was collected. Participants then sorted and rated perceived needs. Using this information, multidimensional scaling and cluster analyses were conducted to map the relationship between perceived needs and determine their importance and priority.Five clusters were derived for caregivers and four for the health professionals. Themes across both caregivers and health professionals highlighted the need for specialized and team-based medical care, caregiver support and training, along with socio-economic and physical needs that help with day-to-day care of individuals with CID. Among caregivers, MA rated financial resources as more important and of higher priority compared to NHW. The health professionals' perspectives were aligned with those of all caregivers.By understanding the needs of caregivers and individuals with CID, we can help families deal with this disease and let caregivers thrive. This is especially important for minority populations like MAs.

Differential Relationships Between the Montreal Cognitive Assessment and Informant-Rated Cognitive Decline Among Mexican Americans and Non-Hispanic Whites.

OBJECTIVES: We compared the concurrent validity of the Montreal Cognitive Assessment (MoCA) with other cognitive screening instruments among Mexican Americans (MA) and non-Hispanic whites (NHW). METHODS: In a community-based study in Nueces county, Texas (5/2/18-2/26/20), participants 65+ with MoCA ≤25 completed the Harmonized Cognitive Assessment Protocol. Regressions examined associations between MoCA and: 1) Mini Mental State Examination (MMSE); 2) abbreviated Community Screening Interview for Dementia (CSI-D); 3) Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). RESULTS: MA (n = 229) and NHW (n = 81) differed by education but not age or sex. MoCA and cognitive performance associations (MMSE, CSI-D-Respondent) did not differ between MA and NHW (p's > .16). MoCA and informant rating associations (IQCODE, CSI-D-Informant) were stronger in NHW than MA (NHW R2 = 0.39 and 0.38, respectively; MA R2 = 0.30 and 0.28, respectively). DISCUSSION: Our findings suggest non-equivalence across cognitive screening instruments among MAs and NHWs.

Social closeness and support are associated with lower risk of suicide among U.S. Army soldiers.

OBJECTIVE: We tested the aspects of social support, unit cohesion, and religiosity hypothesized to be protective factors for suicide among U.S. service members. METHODS: This case-control study compared U.S. Army soldiers who died by suicide while on active duty (n = 135) to controls of two types: those propensity score-matched on known sociodemographic risk factors (n = 128); and those controls who had thought about, but not died by, suicide in the past year (n = 108). Data included structured interviews of next of kin (NOK) and Army supervisors (SUP) for each case and control soldier. Logistic regression analyses were used to examine predictors of suicide. RESULTS: Perceived social closeness and seeking help from others were associated with decreased odds of suicide, as reported by SUP (OR = 0.2 [95% CI = 0.1, 0.5]) and NOK (OR = 0.4 [95% CI = 0.2, 0.8]). Novel reports by SUP informants of high levels of unit cohesion/morale decreased odds of suicide (OR = 0.1 [95% CI = 0.0, 0.2]). Contrary to study hypotheses, no religious affiliation was associated with lower odds of suicide (OR = 0.3 [95% CI = 0.2, 0.6]). CONCLUSIONS: Perceived social closeness and unit/group cohesion are associated with lower odds of suicide. These results point toward social intervention strategies as testable components of suicide prevention programs.

Meaningful associations in the adolescent brain cognitive development study.

The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in the United States. A cohort of n = 11,880 children aged 9-10 years (and their parents/guardians) were recruited across 22 sites and are being followed with in-person visits on an annual basis for at least 10 years. The study approximates the US population on several key sociodemographic variables, including sex, race, ethnicity, household income, and parental education. Data collected include assessments of health, mental health, substance use, culture and environment and neurocognition, as well as geocoded exposures, structural and functional magnetic resonance imaging (MRI), and whole-genome genotyping. Here, we describe the ABCD Study aims and design, as well as issues surrounding estimation of meaningful associations using its data, including population inferences, hypothesis testing, power and precision, control of covariates, interpretation of associations, and recommended best practices for reproducible research, analytical procedures and reporting of results.

Bilingualism, assessment language, and the Montreal Cognitive Assessment in Mexican Americans.

BACKGROUND/OBJECTIVES: Assessment of cognition in linguistically diverse aging populations is a growing need. Bilingualism may complicate cognitive measurement precision, and bilingualism may vary across Hispanic/Latinx sub-populations. We examined the association among bilingualism, assessment language, and cognitive screening performance in a primarily non-immigrant Mexican American community. DESIGN: Prospective, community-based cohort study: The Brain Attack Surveillance in Corpus Christi (BASIC)-Cognitive study. SETTING: Nueces County, Texas. PARTICIPANTS: Community-dwelling Mexican Americans age 65+, recruited door-to-door using a two-stage area probability sampling procedure. MEASUREMENTS: Montreal Cognitive Assessment (MoCA); self-reported bilingualism scale. Participants were classified as monolingual, Spanish dominant bilingual, English dominant bilingual, or balanced bilingual based upon bilingualism scale responses. Linear regressions examined relationships among bilingualism, demographics, cognitive assessment language, and MoCA scores. RESULTS: The analytic sample included 547 Mexican American participants (60% female). Fifty-eight percent were classified as balanced bilingual, the majority (88.6%) of whom selected assessment in English. Balanced bilinguals that completed the MoCA in English performed better than balanced bilinguals that completed the MoCA in Spanish (b = -4.0, p < 0.05). Among balanced bilinguals that took the MoCA in Spanish, education outside of the United States was associated with better performance (b = 4.4, p < 0.001). Adjusting for demographics and education, we found no association between the degree of bilingualism and MoCA performance (p's > 0.10). CONCLUSION: Bilingualism is important to consider in cognitive aging studies in linguistically diverse communities. Future research should examine whether cognitive test language selection affects cognitive measurement precision in balanced bilinguals.

Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children.

Importance: Incidental findings (IFs) are unexpected abnormalities discovered during imaging and can range from normal anatomic variants to findings requiring urgent medical intervention. In the case of brain magnetic resonance imaging (MRI), reliable data about the prevalence and significance of IFs in the general population are limited, making it difficult to anticipate, communicate, and manage these findings. Objectives: To determine the overall prevalence of IFs in brain MRI in the nonclinical pediatric population as well as the rates of specific findings and findings for which clinical referral is recommended. Design, Setting, and Participants: This cohort study was based on the April 2019 release of baseline data from 11 810 children aged 9 to 10 years who were enrolled and completed baseline neuroimaging in the Adolescent Brain Cognitive Development (ABCD) study, the largest US population-based longitudinal observational study of brain development and child health, between September 1, 2016, and November 15, 2018. Participants were enrolled at 21 sites across the US designed to mirror the demographic characteristics of the US population. Baseline structural MRIs were centrally reviewed for IFs by board-certified neuroradiologists and findings were described and categorized (category 1, no abnormal findings; 2, no referral recommended; 3; consider referral; and 4, consider immediate referral). Children were enrolled through a broad school-based recruitment process in which all children of eligible age at selected schools were invited to participate. Exclusion criteria were severe sensory, intellectual, medical, or neurologic disorders that would preclude or interfere with study participation. During the enrollment process, demographic data were monitored to ensure that the study met targets for sex, socioeconomic, ethnic, and racial diversity. Data were analyzed from March 15, 2018, to November 20, 2020. Main Outcomes and Measures: Percentage of children with IFs in each category and prevalence of specific IFs. Results: A total of 11 679 children (52.1% boys, mean [SD] age, 9.9 [0.62] years) had interpretable baseline structural MRI results. Of these, 2464 participants (21.1%) had IFs, including 2013 children (17.2%) assigned to category 2, 431 (3.7%) assigned to category 3, and 20 (0.2%) assigned to category 4. Overall rates of IFs did not differ significantly between singleton and twin gestations or between monozygotic and dizygotic twins, but heritability analysis showed heritability for the presence or absence of IFs (h2 = 0.260; 95% CI, 0.135-0.387). Conclusions and Relevance: Incidental findings in brain MRI and findings with potential clinical significance are both common in the general pediatric population. By assessing IFs and concurrent developmental and health measures and following these findings over the longitudinal study course, the ABCD study has the potential to determine the significance of many common IFs.