American Indian and Alaska Native Accessibility to Comprehensive Cleft Lip and Palate Treatment.

American Indians and Alaska Natives (AI/AN) have the highest incidence of cleft lip and palate (orofacial clefts [OFCs]) when compared to other ethnic groups. We aim to determine the AI/AN populations' proximity and accessibility to American Cleft Palate-Craniofacial Association accredited centers (ACPA centers) for treatment of OFCs. Our hypothesis is an unacceptable proportion of the AI/AN population lacks reasonable accessibility to ACPA centers and comprehensive craniofacial care.A cross-sectional study of ACPA centers and AI/AN populations were analyzed for possible disparities.ACPA centers were mapped using Geographic Information Systems (GIS) and compared with 2018 census population data and 2017 Tribal Census Tract data to visually display possible disparities. Total annual potential pediatric cleft care need for selected high-density AI/AN populated lands were estimated.GIS mapping demonstrates geographical isolation of AI/AN populations from ACPA centers. Two states with high AI/AN populated lands (ND, WY) have no ACPA centers. 47.1% of ACPA centers in high AI/AN populated lands have no craniofacial trained surgeons versus 78.9% craniofacial staffed ACPA centers nationally. The potential unmet cleft and craniofacial care need in selected high-density AI/AN populated lands is 1042 children.AI/AN populations are likely underserved by ACPA centers and by craniofacial fellowship-trained staffed centers. Not addressing OFCs with comprehensive care can lead to worsened outcomes and further marginalization of these children. With future studies, we will be capable of making data-driven, informed decisions to more effectively ensure AI/AN access to comprehensive cleft and craniofacial care.

Blood cadmium, lead, manganese, mercury, and selenium levels in American Indian populations: The Strong Heart Study.

BACKGROUND: Many American Indian (AI) communities are in areas affected by environmental contamination, such as toxic metals. However, studies assessing exposures in AI communities are limited. We measured blood metals in AI communities to assess historical exposure and identify participant characteristics associated with these levels in the Strong Heart Study (SHS) cohort. METHOD: Archived blood specimens collected from participants (n = 2014, all participants were 50 years of age and older) in Arizona, Oklahoma, and North and South Dakota during SHS Phase-III (1998-1999) were analyzed for cadmium, lead, manganese, mercury, and selenium using inductively coupled plasma triple quadrupole mass spectrometry. We conducted descriptive analyses for the entire cohort and stratified by selected subgroups, including selected demographics, health behaviors, income, waist circumference, and body mass index. Bivariate associations were conducted to examine associations between blood metal levels and selected socio-demographic and behavioral covariates. Finally, multivariate regression models were used to assess the best model fit that predicted blood metal levels. FINDINGS: All elements were detected in 100% of study participants, with the exception of mercury (detected in 73% of participants). The SHS population had higher levels of blood cadmium and manganese than the general U.S. population 50 years and older. The median blood mercury in the SHS cohort was at about 30% of the U.S. reference population, potentially due to low fish consumption. Participants in North Dakota and South Dakota had the highest blood cadmium, lead, manganese, and selenium, and the lowest total mercury levels, even after adjusting for covariates. In addition, each of the blood metals was associated with selected demographic, behavioral, income, and/or weight-related factors in multivariate models. These findings will help guide the tribes to develop education, outreach, and strategies to reduce harmful exposures and increase beneficial nutrient intake in these AI communities.

Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits.

Importance: Clinical prediction models estimated with health records data may perpetuate inequities. Objective: To evaluate racial/ethnic differences in the performance of statistical models that predict suicide. Design, Setting, and Participants: In this diagnostic/prognostic study, performed from January 1, 2009, to September 30, 2017, with follow-up through December 31, 2017, all outpatient mental health visits to 7 large integrated health care systems by patients 13 years or older were evaluated. Prediction models were estimated using logistic regression with LASSO variable selection and random forest in a training set that contained all visits from a 50% random sample of patients (6 984 184 visits). Performance was evaluated in the remaining 6 996 386 visits, including visits from White (4 031 135 visits), Hispanic (1 664 166 visits), Black (578 508 visits), Asian (313 011 visits), and American Indian/Alaskan Native (48 025 visits) patients and patients without race/ethnicity recorded (274 702 visits). Data analysis was performed from January 1, 2019, to February 1, 2021. Exposures: Demographic, diagnosis, prescription, and utilization variables and Patient Health Questionnaire 9 responses. Main Outcomes and Measures: Suicide death in the 90 days after a visit. Results: This study included 13 980 570 visits by 1 433 543 patients (64% female; mean [SD] age, 42 [18] years. A total of 768 suicide deaths were observed within 90 days after 3143 visits. Suicide rates were highest for visits by patients with no race/ethnicity recorded (n = 313 visits followed by suicide within 90 days, rate = 5.71 per 10 000 visits), followed by visits by Asian (n = 187 visits followed by suicide within 90 days, rate = 2.99 per 10 000 visits), White (n = 2134 visits followed by suicide within 90 days, rate = 2.65 per 10 000 visits), American Indian/Alaskan Native (n = 21 visits followed by suicide within 90 days, rate = 2.18 per 10 000 visits), Hispanic (n = 392 visits followed by suicide within 90 days, rate = 1.18 per 10 000 visits), and Black (n = 65 visits followed by suicide within 90 days, rate = 0.56 per 10 000 visits) patients. The area under the curve (AUC) and sensitivity of both models were high for White, Hispanic, and Asian patients and poor for Black and American Indian/Alaskan Native patients and patients without race/ethnicity recorded. For example, the AUC for the logistic regression model was 0.828 (95% CI, 0.815-0.840) for White patients compared with 0.640 (95% CI, 0.598-0.681) for patients with unrecorded race/ethnicity and 0.599 (95% CI, 0.513-0.686) for American Indian/Alaskan Native patients. Sensitivity at the 90th percentile was 62.2% (95% CI, 59.2%-65.0%) for White patients compared with 27.5% (95% CI, 21.0%-34.7%) for patients with unrecorded race/ethnicity and 10.0% (95% CI, 0%-23.0%) for Black patients. Results were similar for random forest models, with an AUC of 0.812 (95% CI, 0.800-0.826) for White patients compared with 0.676 (95% CI, 0.638-0.714) for patients with unrecorded race/ethnicity and 0.642 (95% CI, 0.579-0.710) for American Indian/Alaskan Native patients and sensitivities at the 90th percentile of 52.8% (95% CI, 50.0%-55.8%) for White patients, 29.3% (95% CI, 22.8%-36.5%) for patients with unrecorded race/ethnicity, and 6.7% (95% CI, 0%-16.7%) for Black patients. Conclusions and Relevance: These suicide prediction models may provide fewer benefits and more potential harms to American Indian/Alaskan Native or Black patients or those with undrecorded race/ethnicity compared with White, Hispanic, and Asian patients. Improving predictive performance in disadvantaged populations should be prioritized to improve, rather than exacerbate, health disparities.

A Modern Trail of Tears: The Missing and Murdered Indigenous Women (MMIW) Crisis in the US.

In the US, American Indian and Alaskan Native people experience higher rates of violence than all other ethnicities. The purpose of the present research has been to investigate the MMIW crisis, determine the cities with the highest rates of MMIW, and to begin an initial investigation into the root causes for this national crisis. In the present study, missing persons data was analyzed from the National Missing and Unidentified Persons System (NamUs), the National Crime Information Center (NCIC), and from data collected and published in a report produced by the Urban Indian Health Institute (UIHI). Additionally, unidentified persons data was analyzed from NamUs, and data regarding murder cases of indigenous women was analyzed from the UIHI report. Locations with the highest rates of MMIW cases in the country were identified as potential "hot spots". Following the analysis, a total of 23 locations were determined to be "hot spots" for MMIW cases. Of these 23 locations, five were identified as being of the highest priority for intervention due to their disproportionately high rates of MMIW cases. Furthermore, hydraulic fracking across the US seems to be a likely contributing factor in the rate of MMIW cases in nine to 16 of the identified "hot spots". Currently in the US, despite a national movement to raise awareness to the MMIW crisis, there has yet to be any direct actions taken by the federal government to address this issue. The present study has served to identify the primary "hot spots" for MMIW cases and has isolated some key contributing factors to this national problem. In order to most holistically address this issue, actions need to be taken at both the local and federal levels.

Resilience and Stress among Hopi Female Caregivers.

Resilience and stress are important factors in the caregiving experience, but research has yet to examine their association among American Indian (AI) caregivers. This study examines resilience and stress in a group of Hopi female caregivers. Data came from the Hopi Adult Caregiver Survey (2017), which conducted interviews with 44 Hopi women who were providing care without remuneration to an adult family member. Measures included the abbreviated Connor-Davidson Resilience Scale (CD-RISC-10), the Perceived Stress Scale (PSS-10), and questions about caregiver characteristics, care recipient characteristics, social support/ community support, and cultural factors. Stress and resilience were looked at above the median (higher stress or higher resilience) and below the median (lower stress or lower resilience). Caregivers who reported relatively lower resilience were more likely to report that they lived separately from their care recipients and that all Hopis are expected to be caregivers. Caregivers who reported relatively higher stress reported a higher total number of caregiver difficulties, a poorer self-perception of their own health, use of a traditional healer in the past 5 years, and that females are expected to be caregivers. A regression analysis adjusting for age, education, and employment status indicated that higher resilience among the caregivers was significantly associated with lower stress. In light of these findings, programs working with AI caregivers may wish to explore whether supporting the resilience of these caregivers is a means towards limiting their stress.

Spirituality, Ethnic Identity, and Substance Use among American Indian/Alaska Native Adolescents in California.

Background. American Indian/Alaska Native (AIAN) adolescents have a higher prevalence of commercial tobacco, alcohol, and marijuana use than other racial/ethnic groups in the United States. It is unclear whether cultural factors such as ethnic identity, spirituality, and ceremonial use of traditional tobacco are associated with substance use, especially use of emerging tobacco products such as electronic cigarettes, among AIAN adolescents. Methods. This study investigated the association between hypothesized cultural protective factors (ethnic identity, spirituality, and ceremonial use of traditional tobacco) and past-month use of commercial cigarettes, e-cigarettes, marijuana, blunts, and alcohol among 156 AIAN adolescents in California (mean age = 15.3 years, 55% female). Adolescents from six AIAN schools and afterschool programs completed paper-and-pencil surveys. We used Logistic regression analyses to identify the significant cultural correlates of past-month substance use, controlling for demographic covariates. Results. As hypothesized, strong ethnic identity was protective against cigarette, marijuana, and alcohol use. However, it was not protective against e-cigarette or blunt use. Spirituality was associated with an increased risk of cigarette and marijuana use. Previous ceremonial use of traditional tobacco was not associated with past-month recreational substance use. Conclusions. Results indicate that the associations between cultural factors and substance use vary across substances. Future research should identify cultural factors that protect AIAN adolescents against use of newer products such as e-cigarettes and blunts.

Gaps in survey data on cancer in American Indian and Alaska Native populations: examination of US population surveys, 1960-2010.

INTRODUCTION: Population-based data are essential for quantifying the problems and measuring the progress made by comprehensive cancer control programs. However, cancer information specific to the American Indian/Alaska Native (AI/AN) population is not readily available. We identified major population-based surveys conducted in the United States that contain questions related to cancer, documented the AI/AN sample size in these surveys, and identified gaps in the types of cancer-related information these surveys collect. METHODS: We conducted an Internet query of US Department of Health and Human Services agency websites and a Medline search to identify population-based surveys conducted in the United States from 1960 through 2010 that contained information about cancer. We used a data extraction form to collect information about the purpose, sample size, data collection methods, and type of information covered in the surveys. RESULTS: Seventeen survey sources met the inclusion criteria. Information on access to and use of cancer treatment, follow-up care, and barriers to receiving timely and quality care was not consistently collected. Estimates specific to the AI/AN population were often lacking because of inadequate AI/AN sample size. For example, 9 national surveys reviewed reported an AI/AN sample size smaller than 500, and 10 had an AI/AN sample percentage less than 1.5%. CONCLUSION: Continued efforts are needed to increase the overall number of AI/AN participants in these surveys, improve the quality of information on racial/ethnic background, and collect more information on treatment and survivorship.

A population-based study of tuberculosis epidemiology and innovative service delivery in Canada.

OBJECTIVE: To compare and interpret tuberculosis (TB) incidence rates in a Canadian population across two decennials (1989-1998 and 1999-2008) as a benchmark for World Health Organization targets and the long-term goal of TB elimination. The population under study was served by two urban clinics in the first decennial and two urban and one provincial clinic in the second. METHODS: TB rates among Status Indians, Canadian-born 'others' and the foreign-born were estimated using provincial and national databases. Program performance was measured in on-reserve Status Indians in each decennial. RESULTS: In each decennial, the incidence rate in Status Indians and the foreign-born was greater than that in the Canadian-born 'others'; respectively 27.7 and 33.0 times in Status Indians, and 8.0 and 20.9 times in the foreign-born. Between decennials, the rate fell by 56% in Status Indians, 58% in Canadian-born 'others', and 18% in the foreign-born. On-reserve Status Indians had higher rates than off-reserve Status Indians, and the three-clinic model out-performed the two-clinic model among those on-reserve. Rates in the foreign-born varied by World Bank region, and were highest among those from Africa and Asia. CONCLUSION: Status Indians and the foreign-born are at increased risk of TB in Canada. Significant progress towards TB elimination has been made in Status Indians but not in the foreign-born.

How many frogs does it take to leap around the Americas? Comments on Anderson and Gillam.

In modeling the colonization of the Americas, Anderson and Gillam (2000) employ size estimates for vanguard forager bands that are of dubious reproductive viability in light of human incest prohibitions and variable sex ratios at birth.

Paleoindian interaction and mating networks: reply to Moore and Moseley.

How early human populations in North America maintained reproductive viability is a question that has shaped our research for over a decade. The concept of staging areas, mechanisms for band-macroband interaction, and an examination of how interaction networks could have formed and evolved over the course of the Paleoindian era are all solutions that we have presented.