Assessing the validity of the American Indian Enculturation Scale in Alaska Native adults interested in reducing alcohol use.

The American Indian Enculturation Scale (AIES) was developed for American Indian populations to measure connection to traditional culture, but it has not been evaluated in Alaska Native people. While American Indian and Alaska Native individuals are grouped together, significant differences exist between groups. As a part of a randomized controlled trial for contingency management to reduce alcohol use, 160 Alaska Native adults completed the AIES. The confirmatory factor analysis indicated that a one-factor, 15-item version of the AIES, removing items 1 and 2 and correlating items 8 and 10, was a reliable (15 items; α = 0.896) and valid measure in this sample (χ2 [89] = 155.788, p<.001; CFI = 0.903; TLI = 0.886; RMSEA = 0.068 [90% confidence interval {CI} 0.050-0.086]; p<.001; SRMR = 0.060). The study provides limited evidence of enculturation's structural validity, as measured by the AIES, for Alaska Native adults. Future confirmatory work and potential adaptation is needed to evaluate the empirical utility of the AIES for Alaska Native individuals seeking help to reduce alcohol use.

Social Determinants of Health, Tribal Payments, and Probability of Contracting COVID-19 in American Indian and Alaska Native Peoples.

Little is known about the relationships between demographic and economic social determinants of health and the probability of contracting COVID-19 in American Indian and Alaska Native (AI/AN) peoples. In addition, we do not know if and how tribal payments, unique to AI/AN peoples, are associated with the probability of contracting COVID-19. We surveyed 767 AI/AN patients of five geographically disparate health organizations that primarily served AI/AN peoples in urban settings between January and May of 2021. We used univariate modified Poisson regressions to estimate the influence of age, gender, household composition, education, household income, and tribal payments on risk of contracting COVID-19, with results presented as both risk and risk difference. Fifteen percent of the sample contracted COVID-19, and individuals who lived in households with two or more generations had an 11-percentage point elevated risk of contracting COVID-19 compared to those who lived alone. Twenty-seven percent of participants received tribal payments; receipt was associated with seven percentage points (change from 18% probability to 11% probability) lower risk of contracting COVID-19. Our findings showed interventions specifically designed to reduce the spread of COVID-19 in multigenerational households, and regular tribal payments may help improve health outcomes in urban AI/AN populations.

The Role of Community Engagement in Successful Recruitment of Research Participants During the COVID-19 Pandemic.

Background: Our research team was in the process of recruiting American Indian and Alaska Native (AIAN) women for a community-based intervention to prevent alcohol-exposed pregnancy when the COVID-19 pandemic began. Safety measures adopted at the tribal, state, and national level required us to rethink and revise study protocols. We followed the principles of community-based participatory research, especially community engagement. The goal of this article is to report the recommendations from local AIAN field staff and the community advisory board that enabled us to exceed our prepandemic recruitment goal. Methods: First, we developed a list of major adaptations and mapped each one onto our recruitment timeline to assess its effect on subsequent enrollment. Second, we surveyed the two AIAN field staff who led recruitment and an administrative staffer at the study site and conducted a qualitative analysis of their responses. Results: Our revised project timeline presents the major adaptations that led to our successful recruitment, as verified by qualitative data from field staff. These adaptations included expanding our social media presence, expanding recruitment to a nearby urban site, implementing a "refer a friend" program, and recruiting through local media outlets. Most important was having local AIAN staff who cultivated a nonjudgmental space for potential participants to talk about sensitive topics. Discussion: We not only met our prepandemic recruitment goal but exceeded it by 16.6%. The input of our community advisory board and the efforts of community-based staff were essential in achieving success during the unprecedented conditions of the COVID-19 pandemic.

Mental health symptom associations with COVID-19 testing and vaccination among urban American Indian and Alaska Native people.

Background: The COVID-19 pandemic has substantially impacted American Indian and Alaska Native (AI/AN) communities. Rates of infection, hospitalization, and mortality have been severe relative to non-Hispanic whites. While AI/AN communities have had some of the highest levels of COVID-19 vaccination, utilization rates remain suboptimal and there is a need to identify facilitators and barriers to testing and vaccination. Methods: We examined cross-sectional survey data from January to May 2021, among 619 AI/AN patients from five tribal health organizations (AK, CO, KS, NM, WA). Exposures include perceived stress, Kessler distress, PTSD screening, and AUDIT-C alcohol misuse screen. Poisson regression was used to estimate associations with prevalence of COVID-19 testing and vaccination. Results: Over three-quarters of participants were tested for COVID-19 and nearly half were vaccinated. Perceived stress and positive PTSD screening were associated with reduced vaccination prevalence, Prevalence Ratio (PR) 0.83 (0.73, 0.93) and PR 0.80 (0.66, 0.98), respectively. There was reduced prevalence of COVID-19 testing in subgroups with lower reported psychological resilience and PTSD, PR 0.78 (0.64, 0.95). Conclusions: Past-month perceived stress and positive PTSD screening are associated with reduced prevalence of COVID-19 vaccination in urban AI/AN people. Subgroups reporting limited resilience and PTSD symptoms had lower prevalence of COVID-19 testing. The complex relationship between mental health and COVID-19 testing and vaccination warrants further exploration to identify interventions to improve health among urban AI/AN people, a population with known disparities in both mental health and COVID-19 outcomes.

Algorithm-defined memory impairment in older American Indians: The Strong Heart Study.

OBJECTIVE: Assessment of cognition in American Indians poses challenges, including barriers to healthcare, unvalidated clinical standards, and confounding social determinants of health. Alternative strategies for case identification include algorithmic methods, which can outperform clinical judgment in some circumstances. METHOD: Algorithmic methods can be maximized using single-domain tests with multiple-serial trial tasks, such as the California Verbal Learning Test II-Short Form (CVLT-SF). We collected CVLT-SF and detailed clinical data, including dementia gold standard by consensus adjudication, in 818 American Indians aged 65-95 in 2010-2013 and repeated in 403 returning participants in 2017-2019 (mean follow-up 6.7 years, range: 4-9). Our algorithm categorized CVLT-SF scores into four memory deficit categories: none, encoding, storage, and retrieval. RESULTS: At Visit 1, 75.4% had no memory deficit, 15.6% encoding deficit, 3.5% storage deficit, and 5.5% retrieval deficit. At Visit 2, comparable percentages were 68.7%, 10.6%, 6.5%, and 14.2% (respectively). The majority with any deficit at Visit 1-especially encoding-were lost to follow-up by Visit 2. Most with deficits at Visit 2 were newly categorized from those previously intact. The performance of our memory algorithm, compared with adjudication for dementia, was moderately good: correct classification 69%, sensitivity 51%, and specificity 91%. CONCLUSIONS: These descriptive findings encompass a novel contribution in defining memory impairment among American Indians from a single cognitive test. However, more work is needed to improve the sensitivity of this algorithm and maximize its utility for case identification over conventional methods. Altogether, these data provide an important step toward better cognitive characterization and dementia care for an understudied, underserved population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Psychometric Reliability, Validity, and Generalizability of MoCA in American Indian Adults: The Strong Heart Study.

Standardized neuropsychological instruments are used to evaluate cognitive impairment, but few have been psychometrically evaluated in American Indians. We collected Montreal Cognitive Assessment (MoCA) in 403 American Indians 70 to 95 years, as well as age, sex, education, bilingual status, depression symptoms, and other neuropsychological instruments. We evaluated inferences of psychometric validity, including scoring inference using confirmatory factor analysis and structural equation modeling, generalizability inference using reliability coefficient, and extrapolation inference by examining performance across different contexts and substrata. The unidimensional (total score) model had good fit criteria. Internal consistency reliability was high. MoCA scores were positively associated with crystallized cognition (ρ = 0.48, p < .001) and inversely with depression symptoms (ρ = -0.27, p < .001). Significant differences were found by education (d = 0.79, p < .05) depression (d = 0.484, p < .05), and adjudicated cognitive status (p = .0001) strata; however, MoCA was not sensitive or specific in discriminating cognitive impairment from normal cognition (area under the curve <0.5). MoCA scores had psychometric validity in older American Indians, but education and depression are important contextual features for score interpretability. Future research should evaluate cultural or community-specific adaptations, to improve test discriminability in this underserved population.

Pilot study of a heart-healthy food box intervention for Native Americans with uncontrolled hypertension: methods and results from the Chickasaw Healthy Eating Environments Research Study.

We sought to evaluate the acceptability and feasibility of a culturally tailored food box intervention for improving blood pressure (BP), food security and Body Mass Index (BMI) among Chickasaw Nation adults with uncontrolled hypertension. As part of the Chickasaw Healthy Eating Environments Research Study (CHEERS), we administered a group randomized pilot study in four tribal communities (two intervention, two control). Participants in the intervention communities received six heart-healthy food boxes, culturally tailored to traditional Chickasaw diet and current food context. Outcomes were measured over 6 months. We enrolled 262 participants, and 204 with complete data on key variables were included in the analysis. The food boxes were very popular, and we achieved high retention for follow-up data collection. Intervention community participants had 2.6 mmHg lower mean systolic BP and improved diet quality and BMI compared with control participants, although, as expected for a pilot study, the differences were not statistically significant. The culturally tailored diet intervention and randomized trial study design were acceptable and feasible for Chickasaw Nation adults with uncontrolled hypertension. Our findings support the value of tribal-food bank partnerships as a potential approach for reducing food insecurity and hypertension-related disparities in Native American communities.

Mid-life sleep is associated with cognitive performance later in life in aging American Indians: data from the Strong Heart Study.

Background: Sleep-related disorders have been associated with cognitive decline and neurodegeneration. American Indians are at increased risk for dementia. Here, we aim to characterize, for the first time, the associations between sleep characteristics and subsequent cognitive performance in a sample of aging American Indians. Methods: We performed analyses on data collected in two ancillary studies from the Strong Heart Study, which occurred approximately 10 years apart with an overlapping sample of 160 American Indians (mean age at follow-up 73.1, standard deviation 5.6; 69.3% female and 80% with high school completion). Sleep measures were derived by polysomnography and self-reported questionnaires, including sleep timing and duration, sleep latency, sleep stages, indices of sleep-disordered breathing, and self-report assessments of poor sleep and daytime sleepiness. Cognitive assessment included measures of general cognition, processing speed, episodic verbal learning, short and long-delay recall, recognition, and phonemic fluency. We performed correlation analyses between sleep and cognitive measures. For correlated variables, we conducted separate linear regressions. We analyzed the degree to which cognitive impairment, defined as more than 1.5 standard deviations below the average Modified Mini Mental State Test score, is predicted by sleep characteristics. All regression analyses were adjusted for age, sex, years of education, body mass index, study site, depressive symptoms score, difference in age from baseline to follow-up, alcohol use, and presence of APOE e4 allele. Results: We found that objective sleep characteristics measured by polysomnography, but not subjective sleep characteristics, were associated with cognitive performance approximately 10 years later. Longer sleep latency was associated with worse phonemic fluency (ß = -0.069, p = 0.019) and increased likelihood of being classified in the cognitive impairment group later in life (odds ratio 1.037, p = 0.004). Longer duration with oxygen saturation < 90% was associated with better immediate verbal memory, and higher oxygen saturation with worse total learning, short and long-delay recall, and processing speed. Conclusion: In a sample of American Indians, sleep characteristics in midlife were correlated with cognitive performance a decade later. Sleep disorders may be modifiable risk factors for cognitive impairment and dementia later in life, and suitable candidates for interventions aimed at preventing neurodegenerative disease development and progression.

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.

Promoting diverse perspectives: Addressing health disparities related to Alzheimer's and all dementias.

Dementia research lacks appropriate representation of diverse groups who often face substantial adversity and greater risk of dementia. Current research participants are primarily well-resourced, non-Hispanic White, cisgender adults who live close to academic medical centers where much of the research is based. Consequently, the field faces a knowledge gap about Alzheimer's-related risk factors in those other groups. The Alzheimer's Association hosted a virtual conference on June 14-16, 2021, supported in part by the National Institute on Aging (R13 AG072859-01), focused on health disparities. The conference was held entirely online and consisted of 2 days of core programming and a day of focused meetings centered on American Indian and Alaska Natives and on LGBTQIA+ populations. Over 1300 registrants attended discussions focused on the structural and systemic inequities experienced across diverse groups, as well as ways to investigate and address these inequities.

Food insecurity in urban American Indian and Alaska Native populations during the COVID-19 pandemic.

BACKGROUND: Food insecurity is an important social determinant of health that was exacerbated by the COVID-19 pandemic. Both food insecurity and COVID-19 infection disproportionately affect racial and ethnic minority groups, particularly American Indian and Alaska Native communities; however, there is little evidence as to whether food insecurity is associated with COVID-19 infection or COVID-19 preventive behaviors such as vaccination uptake. The purpose of this study was to evaluate associations between food insecurity, COVID-19 infection, and vaccination status among urban American Indian and Alaska Native adults seen at 5 clinics serving urban Native people. METHODS: In partnership with health organizations in Alaska, Colorado, Kansas, Minnesota, and New Mexico, the study team conducted a cross-sectional survey in 2021 to assess food security status and attitudes, barriers, and facilitators for COVID-19 testing and vaccination. Logistic regression was used to examine the association of food security status with sociodemographic factors and COVID-19 infection and vaccination status. Marginal standardization was applied to present results as prevalence differences. RESULTS: Among 730 American Indian and Alaska Native adults, the prevalence of food insecurity measured during the pandemic was 38%. For participants who reported persistent food security status before and during the pandemic (n = 588), the prevalence of food insecurity was 25%. Prevalence of COVID-19 infection and vaccination did not vary by food security status after adjustment for confounders. CONCLUSIONS: High rates of food insecurity among American Indian and Alaska Native communities likely increased during the COVID-19 pandemic. However, despite the high prevalence of food insecurity, community-led efforts to reduce COVID-19 infection and increase vaccination uptake across Indian Health Service and Tribal healthcare facilities may have mitigated the negative impacts of the pandemic for families experiencing food insecurity. These successful approaches serve as an important reference for future public health efforts that require innovative strategies to improve overall health in American Indian and Alaska Native communities.

Racial, ethnic, and rural disparities in distance to physicians among decedents with Alzheimer's disease and related dementias in Washington State.

INTRODUCTION: Distance to physicians may explain some of the disparities in Alzheimer's disease and related dementia (AD/ADRD) outcomes. METHODS: We generated round trip distance between residences of decedents with AD/ADRD and the nearest neurologist and primary care physician in Washington State. RESULTS: The overall mean distance to the nearest neurologist and primary care physician was 17 and 4 miles, respectively. Non-Hispanic American Indian and/or Alaska Native and Hispanic decedents would have had to travel 1.12 and 1.07 times farther, respectively, to reach the nearest neurologist compared to non-Hispanic White people. Decedents in micropolitan, small town, and rural areas would have had to travel 2.12 to 4.01 times farther to reach the nearest neurologist and 1.14 to 3.32 times farther to reach the nearest primary care physician than those in metropolitan areas. DISCUSSION: These results underscore the critical need to identify strategies to improve access to specialists and primary care physicians to improve AD/ADRD outcomes. HIGHLIGHTS: Distance to neurologists and primary care physicians among decedents with AD/ADRD American Indian and/or Alaska Native decedents lived further away from neurologists Hispanic decedents lived further away from neurologists Non-metropolitan decedents lived further away from neurologists and primary care Decrease distance to physicians to improve dementia outcomes.

Reach, Acceptability, and Sustainability of the Native Changing High-Risk Alcohol Use and Increasing Contraception Effectiveness Study (CHOICES) Intervention: A Qualitative Evaluation of an Alcohol-Exposed Pregnancy Prevention Program.

American Indian (AI) women are at risk of alcohol-exposed pregnancy (AEP) due to the higher prevalence of alcohol use disorders (AUDs) and risky drinking. The Native Changing High-Risk Alcohol Use and Increasing Contraception Effectiveness Study (Native CHOICES) was implemented in partnership with a Northern Plains Tribal community to address the effectiveness of a brief, motivational interviewing-based intervention to reduce AEP risk among adult AI women. A subgroup of the participants shared their perspectives in a qualitative interview conducted following the completion of the six-month post-baseline data collection. These interviews solicited participant perspectives on the Native CHOICES intervention and its satisfaction, reach, acceptability, and sustainability. The participants were delighted with Native CHOICES, felt the intervention helped them learn about AEP prevention and goal setting, learned valuable lessons, and believed Native CHOICES would be well-received by other women in their community and should be continued. The participants also shared how the COVID-19 pandemic affected their choices about drinking and birth control. The findings showed the receptivity to and acceptance of Native CHOICES among AI women. The interview findings offered a glimpse into the effectiveness of Native CHOICES and how it contributed to participants making healthier choices surrounding drinking and sexual health.

Incidence of Stroke in Indigenous Populations of Countries With a Very High Human Development Index: A Systematic Review.

BACKGROUND AND OBJECTIVES: Cardiovascular disease contributes significantly to disease burden among many Indigenous populations. However, data on stroke incidence in Indigenous populations are sparse. We aimed to investigate what is known of stroke incidence in Indigenous populations of countries with a very high Human Development Index (HDI), locating the research in the broader context of Indigenous health. METHODS: We identified population-based stroke incidence studies published between 1990 and 2022 among Indigenous adult populations of developed countries using PubMed, Embase, and Global Health databases, without language restriction. We excluded non-peer-reviewed sources, studies with fewer than 10 Indigenous people, or not covering a 35- to 64-year minimum age range. Two reviewers independently screened titles, abstracts, and full-text articles and extracted data. We assessed quality using "gold standard" criteria for population-based stroke incidence studies, the Newcastle-Ottawa Scale for risk of bias, and CONSIDER criteria for reporting of Indigenous health research. An Indigenous Advisory Board provided oversight for the study. RESULTS: From 13,041 publications screened, 24 studies (19 full-text articles, 5 abstracts) from 7 countries met the inclusion criteria. Age-standardized stroke incidence rate ratios were greater in Aboriginal and Torres Strait Islander Australians (1.7-3.2), American Indians (1.2), Sámi of Sweden/Norway (1.08-2.14), and Singaporean Malay (1.7-1.9), compared with respective non-Indigenous populations. Studies had substantial heterogeneity in design and risk of bias. Attack rates, male-female rate ratios, and time trends are reported where available. Few investigators reported Indigenous stakeholder involvement, with few studies meeting any of the CONSIDER criteria for research among Indigenous populations. DISCUSSION: In countries with a very high HDI, there are notable, albeit varying, disparities in stroke incidence between Indigenous and non-Indigenous populations, although there are gaps in data availability and quality. A greater understanding of stroke incidence is imperative for informing effective societal responses to socioeconomic and health disparities in these populations. Future studies into stroke incidence in Indigenous populations should be designed and conducted with Indigenous oversight and governance to facilitate improved outcomes and capacity building. REGISTRATION INFORMATION: PROSPERO registration: CRD42021242367.

Machine learning-driven identification of air toxic combinations associated with asthma symptoms among elementary school children in Spokane, Washington, USA.

Air toxics are atmospheric pollutants with hazardous effects on health and the environment. Although methodological constraints have limited the number of air toxics assessed for associations with health and disease, advances in machine learning (ML) enable the assessment of a much larger set of environmental exposures. We used ML methods to conduct a retrospective study to identify combinations of 109 air toxics associated with asthma symptoms among 269 elementary school students in Spokane, Washington. Data on the frequency of asthma symptoms for these children were obtained from Spokane Public Schools. Their exposure to air toxics was estimated by using the Environmental Protection Agency's Air Toxics Screening Assessment and National Air Toxics Assessment. We defined three exposure periods: the most recent year (2019), the last three years (2017-2019), and the last five years (2014-2019). We analyzed the data using the ML-based Data-driven ExposurE Profile (DEEP) extraction method. DEEP identified 25 air toxic combinations associated with asthma symptoms in at least one exposure period. Three combinations (1,1,1-trichloroethane, 2-nitropropane, and 2,4,6-trichlorophenol) were significantly associated with asthma symptoms in all three exposure periods. Four air toxics (1,1,1-trichloroethane, 1,1,2,2-tetrachloroethane, BIS (2-ethylhexyl) phthalate (DEHP), and 2,4-dinitrophenol) were associated only in combination with other toxics, and would not have been identified by traditional statistical methods. The application of DEEP also identified a vulnerable subpopulation of children who were exposed to 13 of the 25 significant combinations in at least one exposure period. On average, these children experienced the largest number of asthma symptoms in our sample. By providing evidence on air toxic combinations associated with childhood asthma, our findings may contribute to the regulation of these toxics to improve children's respiratory health.

Plasma biomarkers of Alzheimer's disease and related dementias in American Indians: The Strong Heart Study.

INTRODUCTION: Identification of Alzheimer's disease (AD) needs inexpensive, noninvasive biomarkers, with validation in all populations. METHODS: We collected plasma markers in older American Indian individuals: phosphorylated-tau181 (pTau181); amyloid-beta (Aß) 40,42; glial fibrillary acidic protein (GFAP); and neurofilament light chain (NfL). Plasma markers were analyzed for discriminant properties with cognitive status and etiology using receiver operating characteristic (ROC) analysis. RESULTS: PTau181, GFAP, NfL plasma values were significantly associated with cognition, but Aß were not. Discriminant performance was moderate for individual markers, with pTau181, GFAP, NfL performing best, but an empirically selected panel of markers (age, sex, education, pTau181, GFAP, NfL, Aß4240 ratio) had excellent discriminant performance (AUC > 0.8). DISCUSSION: In American Indian individuals, pTau181 and Aß values suggested more common pathology than in majority populations. Aß was less informative than in other populations; however, all four markers were needed for a best-performing dementia diagnostic model. These data validate utility of AD plasma markers, while suggesting population-specific diagnostic characteristics.

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.

Access to Lung Cancer Screening Among American Indian and Alaska Native Adults: A Qualitative Study.

BACKGROUND: Lung cancer is the leading cause of cancer mortality among American Indian and Alaska Native populations. American Indian and Alaska Native people use commercial tobacco products at higher rates compared with all other races and ethnicities. Moreover, they show lower adherence to cancer screening guidelines. RESEARCH QUESTION: How do American Indian and Alaska Native adults perceive and use lung cancer screening? STUDY DESIGN AND METHODS: We conducted a study in which we recorded and transcribed data from three focus groups consisting of American Indian and Alaska Native adults. Participants were recruited through convenience sampling at a national health conference. Transcripts were analyzed by inductive coding. RESULTS: Participants (n = 58) of 28 tribes included tribal Elders, tribal leaders, and non-Native volunteers who worked with tribal communities. Limited community awareness of lung cancer screening, barriers to lung cancer screening at health care facilities, and health information-seeking behaviors emerged as key themes in discussions. Screening knowledge was limited except among people with direct experiences of lung cancer. Cancer risk factors such as multigenerational smoking were considered important priorities to address in communities. Limited educational and diagnostic resources are significant barriers to lung cancer screening uptake in addition to limited discussions with health care providers about cancer risk. INTERPRETATION: Limited access to and awareness of lung cancer screening must be addressed. American Indian and Alaska Native adults use several health information sources unique to tribal communities, and these should be leveraged in designing screening programs. Equitable partnerships between clinicians and tribes are essential in improving knowledge and use of lung cancer screening.

Psychometric Properties of Controlled Oral Word Association (COWA) Test and Associations With Education and Bilingualism in American Indian Adults: The Strong Heart Study.

The Controlled Oral Word Association (COWA) test is used to assess phonemic fluency and executive function. Formal validation of test scores is important for accurate cognitive evaluation. However, there is a dearth of psychometric validation among American Indian adults. Given high burden of dementia risk and key contextual factors associated with cognitive assessments, this represents a critical oversight. In a large, longitudinal population-based cohort study of adult American Indians, we examined several validity inferences for COWA, including scoring, generalization, and extrapolation inferences, by investigation of factor structure, internal consistency, test-retest reliability, and differential test functioning. We found adequate unidimensional model fit, with high factor loadings. Internal consistency reliability and test-retest reliability were 0.88 and 0.77, respectively, for the full group. COWA scores were lowest among the oldest, lowest education, bilingual speakers; group effects for sex and bilingual status were small; age effect was medium; and education effect was largest. However, Wide Range Achievement Test (WRAT) score effect was stronger than education effect, suggesting better contextualization may be needed. These results support interpretation of total COWA score, including across sex, age, or language use strata.

COVID-19 vaccination in urban American Indian and Alaska Native children: Parental characteristics, beliefs and attitudes associated with vaccine acceptance.

Background: Little is known about vaccination rates for American Indian and Alaska Native (AI/AN) parents and their children, or parental decisions in this regard. Improving vaccination rates is a serious concern due to the disproportionate incidence and morbidity of COVID-19 in AI/AN people. Purpose: Our goal was to describe urban AI/AN parental attributes associated with COVID-19 vaccination of their children. Methods: Survey participants (n = 572) were ≥18 years of age, had children ≥5 years of age, AI/AN, and seen at one of six urban health organizations serving primarily AI/AN people within the prior year. They were asked about gender, age, education, marital status, perceived stress, trauma history, whether they had received the COVID-19 vaccine, tested positive for COVID-19 in the past, and if their child was vaccinated. They were also asked about 16 vaccine hesitancy reasons. Results: Parental vaccination rate was 82%, with 59% of their children vaccinated. Parents who vaccinated their children were older, had higher education, lower stress and trauma, and were more likely to be vaccinated compared to parents who did not vaccinate their children. Forty-two percent of parents indicated they would likely vaccinate their unvaccinated child in the future. Sixteen vaccine hesitancy reasons revealed four factors: distrust, inconvenience, lack of concern about the pandemic, and AI/AN concerns. Parents who had no plans to vaccinate their children had the highest vaccine distrust and lack of concern about the pandemic. Parents with greater vaccine distrust and AI/AN specific concern reported significantly greater trauma history and higher levels of education. Conclusion: Even though vaccination rates for AI/AN parents and children are high, the consequences of COVID-19 for AI/AN people are more severe than for other US populations. Providers should use trauma-informed, trust-building and culturally competent communication when discussing choices about vaccination with AI/AN parents.