348 results match your criteria: "Center for American Indian Health.[Affiliation]"

Introduction: Compared with White Americans, American Indian adults have disproportionately high depression rates. Previous studies in non-American Indian populations report depression as common among people with uncontrolled hypertension, potentially interfering with blood pressure control. Few studies have examined the association of depressive symptoms with hypertension development among American Indians despite that population's high burden of depression and hypertension.

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Our study aimed to investigate the association between asthma and obstructive sleep apnea (OSA) in American Indian communities, a historically underrepresented population in clinical research with a high prevalence of asthma and OSA risk factors like smoking and obesity. This cross-sectional study used data retrieved from the Strong Heart Study cohort. Participants who attended both the Asthma Sub-study and the Sleep Heart Health Study around the same time were compared for active asthma diagnosis, OSA diagnosis, and potential risk factors for asthma and OSA.

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AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease.

Brief Bioinform

September 2024

Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles (UCLA), 650 Charles E. Young Drive South, Los Angeles, CA, 90095, USA.

Article Synopsis
  • Coronary heart disease (CHD) is a major health issue in the U.S., and improved prediction models could help in early detection and intervention.
  • Researchers developed a deep learning autoencoder survival analysis model (AESurv) that analyzes DNA methylation and clinical data to predict CHD events more accurately.
  • The AESurv model outperformed traditional survival analysis models in two studies, showing strong potential for improving early CHD prediction and aiding healthcare professionals in managing patient care.
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  • A study was conducted on heart failure (HF) risk factors among American Indian communities, revealing a lack of existing research in this area despite high diabetes and cardiovascular issues.
  • The study analyzed data from 3,059 participants, identifying key predictors of HF over time, including age, smoking, kidney damage, and history of heart attacks, with strong predictive performance indicated.
  • The findings highlight that diabetes control and kidney damage indicators are significant in determining HF risks, which could help improve risk prediction and management in these communities.
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Background: American Indian populations have experienced marked disparities in respiratory disease burden. Extracellular vesicle-encapsulated microRNAs (EV-miRNAs) are a novel class of biomarkers that may improve recognition of lung damage in indigenous populations in the United States.

Research Question: Are plasma EV-miRNAs viable biomarkers of respiratory health in American Indian populations?

Study Design And Methods: The Strong Heart Study is a prospective cohort study that enrolled American Indian patients aged 45 to 74 years.

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Background: Although COVID-19 infection has been associated with a number of clinical and environmental risk factors, host genetic variation has also been associated with the incidence and morbidity of infection. The CRP gene codes for a critical component of the innate immune system and CRP variants have been reported associated with infectious disease and vaccination outcomes. We investigated possible associations between COVID-19 outcome and a limited number of candidate gene variants including rs1205.

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The generalized estimating equations method (GEE) is commonly applied to analyze data obtained from family studies. GEE is well known for its robustness on misspecification of correlation structure. However, the unbalanced distribution of family sizes and complicated genetic relatedness structure within each family may challenge GEE performance.

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A community health promotion project: Amazing Race for Heart Health.

Front Epidemiol

December 2023

Center for American Indian Health Research, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.

Introduction: American Indians have higher rates of cardiovascular disease (CVD), likely due to disproportionate burden of diabetes and limited access to widespread CVD prevention programs such as Honoring the Gift of Heart Health (HGHH), a 10-week CVD risk factor awareness curriculum. Due to its length, HGHH may be difficult to complete; therefore, we aimed to evaluate a shortened CVD risk factor awareness program based on the HGHH educational materials for American Indians residing in southwest Oklahoma, entitled "The Amazing Race for Heart Health."

Methods: We conducted an interventional study where each participant served as their own control ( = 61), with pre- and post-intervention measurements.

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Background: Although many studies on the association between dyslipidemia and cardiovascular disease (CVD) exist in older adults, data on the association among adolescents and young adults living with disproportionate burden of cardiometabolic disorders are scarce.

Methods And Results: The SHFS (Strong Heart Family Study) is a multicenter, family-based, prospective cohort study of CVD in an American Indian populations, including 12 communities in central Arizona, southwestern Oklahoma, and the Dakotas. We evaluated SHFS participants, who were 15 to 39 years old at the baseline examination in 2001 to 2003 (n=1440).

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Article Synopsis
  • Chronic kidney disease significantly impacts global health, particularly among individuals of African ancestry and those in the Americas, who are often excluded from genetic studies.
  • A comprehensive meta-analysis involving over 145,000 individuals from these groups led to the discovery of 41 significant genetic loci associated with kidney function, two of which hadn't been previously identified across any ancestry group.
  • The study emphasizes the importance of diverse populations in genetic research for better understanding kidney disease and suggests that multi-ancestry polygenic scores can improve predictive capabilities and clinical applications.
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Plasma lipidomic markers of diet quality are associated with incident coronary heart disease in American Indian adults: the Strong Heart Family Study.

Am J Clin Nutr

March 2024

Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States; Center for Genetic Epidemiology and Bioinformatics, University of Florida, Gainesville, FL, United States. Electronic address:

Background: Identifying lipidomic markers of diet quality is needed to inform the development of biomarkers of diet, and to understand the mechanisms driving the diet- coronary heart disease (CHD) association.

Objectives: This study aimed to identify lipidomic markers of diet quality and examine whether these lipids are associated with incident CHD.

Methods: Using liquid chromatography-mass spectrometry, we measured 1542 lipid species from 1694 American Indian adults (aged 18-75 years, 62% female) in the Strong Heart Family Study.

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Article Synopsis
  • Inorganic arsenic exposure may heighten the risk of cardiovascular disease and overall mortality by contributing to accelerated aging, which can be gauged through specific DNA methylation measures.
  • The study, conducted with American Indian adults, assessed three epigenetic aging measures (PhenoAge, GrimAge, DunedinPACE) to see how they mediated the effects of arsenic on cardiovascular health outcomes.
  • Findings revealed that higher urinary arsenic levels correlated with older biological ages in GrimAge and faster aging in DunedinPACE, indicating a significant link between arsenic exposure, accelerated aging, and increased cardiovascular risks.
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Explaining COVID-19 related mortality disparities in American Indians and Alaska Natives.

Sci Rep

November 2023

Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.

American Indian and Alaska Native (AI/AN) individuals are more likely to die with COVID-19 than other groups, but there is limited empirical evidence to explain the cause of this inequity. The objective of this study was to determine whether medical comorbidities, area socioeconomic deprivation, or access to treatment can explain the greater COVID-19 related mortality among AI/AN individuals. The design was a retrospective cohort study of harmonized electronic health record data of all inpatients with COVID-19 from 21 United States health systems from February 2020 through January 2022.

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Objective: Coronary heart disease has several risk factors that require a multifactorial community intervention approach in prevention efforts. Prevalence of coronary heart disease and its risk factors have been disproportionately high among American Indians. The objective of this study is to evaluate the impact of ambulatory activity levels on the development of coronary heart disease in this population.

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Comparison of circulating and excreted metals and of autoimmunity between two Great Plains Tribal communities.

J Autoimmun

December 2024

University of New Mexico, Health Sciences Center, School of Medicine, Dept. of Molecular Genetics and Microbiology, Albuquerque, NM, USA.

Metals contaminants of the environment from mine waste have been implicated as contributing agents in autoimmune disease. The current study compares metals and autoimmunity in two Tribal communities residing in the Black Hills and the Bighorn Mountains geographical regions that are scattered with extant hard rock mines. With documented drinking water contamination in both communities, in vivo levels of more than half of the measured serum and urine metals differed between the two communities and were substantially different from their national median values.

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Background: Fine particulate matter (PM) exposure is a known risk factor for numerous adverse health outcomes, with varying estimates of component-specific effects. Populations with compromised health conditions such as diabetes can be more sensitive to the health impacts of air pollution exposure. Recent trends in PM in primarily American Indian- (AI-) populated areas examined in previous work declined more gradually compared to the declines observed in the rest of the US.

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To advance the field of teen pregnancy prevention, new interventions must be developed and tested. The federal Teen Pregnancy Prevention program (TPP) funds the evaluation of promising interventions. We report on a funding disruption to 21 TPP Tier 2B research grantees across the US that was unusual for its ideological causation, sudden timing, severity, and ultimately court decisions compelling the agency to reverse the decision.

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The confounder-corrected chemical shift-encoded MRI (CSE-MRI) sequence used to determine proton density fat fraction (PDFF) for hepatic fat quantification is not widely available. As an alternative, hepatic fat can be assessed by a two-point Dixon method to calculate signal fat fraction (FF) from conventional T1-weighted in- and opposed-phase (IOP) images, although signal FF is prone to biases, leading to inaccurate quantification. The purpose of this study was to compare hepatic fat quantification by use of PDFF inferred from conventional T1-weighted IOP images and deep-learning convolutional neural networks (CNNs) with quantification by use of two-point Dixon signal FF with CSE-MRI PDFF as the reference standard.

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Objectives: To provide recommendations for future common data element (CDE) development and collection that increases community partnership, harmonizes data interpretation, and continues to reduce barriers of mistrust between researchers and underserved communities.

Methods: We conducted a cross-sectional qualitative and quantitative evaluation of mandatory CDE collection among Rapid Acceleration of Diagnostics-Underserved Populations Return to School project teams with various priority populations and geographic locations in the United States to: (1) compare racial and ethnic representativeness of participants completing CDE questions relative to participants enrolled in project-level testing initiatives and (2) identify the amount of missing CDE data by CDE domain. Additionally, we conducted analyses stratified by aim-level variables characterizing CDE collection strategies.

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Metal mixtures and DNA methylation measures of biological aging in American Indian populations.

Environ Int

August 2023

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA. Electronic address:

Article Synopsis
  • Native American communities experience higher exposure to metals and increased risks of cardiovascular diseases and diabetes, prompting research into the effects of metal exposure on biological aging.
  • The study analyzed blood DNA methylation data from over 2,300 participants in the Strong Heart Study to assess the impact of urinary metals on various DNA methylation-based aging measures.
  • Results indicate that exposure to nonessential metals, particularly cadmium, is associated with increased epigenetic age acceleration, while essential metals showed a protective effect; notably, non-smokers displayed greater associations with cadmium and zinc.
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Longitudinal Lipidomic Profile of Hypertension in American Indians: Findings From the Strong Heart Family Study.

Hypertension

August 2023

Department of Epidemiology, Center for Genetic Epidemiology and Bioinformatics, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville (M.C., G.M., J.Z.).

Background: Dyslipidemia is an important risk factor for hypertension and cardiovascular disease. Standard lipid panel cannot reflect the complexity of blood lipidome. The associations of individual lipid species with hypertension remain to be determined in large-scale epidemiological studies, especially in a longitudinal setting.

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