Since the early 20th century, a marked increase in obesity, diabetes, and chronic kidney disease has occurred in the American Indian population, especially the Pima Indians of the Southwest. Here, we review the current epidemic and attempt to identify remediable causes. A search was performed using PubMed and the search terms American Indian and obesity, American Indian and diabetes, American Indian and chronic kidney disease, and American Indian and sugar or fructose, Native American, Alaska Native, First Nations, Aboriginal, Amerind, and Amerindian for American Indian for articles linking American Indians with diabetes, obesity, chronic kidney disease, and sugar; additional references were identified in these publications traced to 1900 and articles were reviewed if they were directly discussing these topics. Multiple factors are involved in the increased risk for diabetes and kidney disease in the American Indian population, including poverty, overnutrition, poor health care, high intake of sugar, and genetic mechanisms. Genetic factors may be especially important in the Pima, as historical records suggest that this group was predisposed to obesity before exposure to Western culture and diet. Exposure to sugar-sweetened beverages may also be involved in the increased risk for chronic kidney disease. In these small populations in severe health crisis, we recommend further studies to investigate the role of excess added sugar, especially sugar-sweetened beverages, as a potentially remediable risk factor.
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http://dx.doi.org/10.1016/j.mayocp.2015.03.018 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Facultad de Odontología, Universidad de los Andes, Chile, Las Condes, Chile.
Introduction: Certain aspects of indigenous communities, such as cultural practices and access to care, have been discussed as potential determinants of oral health. However, research on this topic remains limited. Understanding the factors influencing oral health and their perceptions is crucial for developing culturally appropriate interventions.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Program On Policy Evaluation and Learning in the Pacific Northwest, University of Washington, Seattle, WA, USA.
J Am Acad Orthop Surg Glob Res Rev
January 2025
From the Oakland University William Beaumont School of Medicine (Bitar, Zamzam, and Dr. Saleh), Rochester, MI; the Department of Orthopedic Surgery, University of Toledo Medical Center (Dr. Hasan), Toledo, OH; and Department of Orthopedic Surgery, Corewell Health (Dr. Saleh).
Background: Despite increasing diversity among medical students, pediatric orthopaedic surgery remains underrepresented regarding gender and ethnic diversity. Previous studies highlight notable underrepresentation of women and minorities in orthopaedic subspecialty fellowships.
Methods: This study analyzed data from 2013 to 2023 on pediatric orthopaedic surgery fellows, collected through the Accreditation Council for Graduate Medical Education and Graduate Medical Education Consensus.
J Prev Health Promot
September 2024
Montana State University, Bozeman, USA.
Complicated grief is both a cause and a consequence of health inequities in Native (American Indian/Alaska Native [AI/AN]) communities. Given disproportionately high rates of physical (e.g.
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