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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.
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PURPOSE: The purpose of this study was to examine the association between determinants of health, medication engagement, and A1C levels in adults with type 2 diabetes (T2DM) receiving Tribal health and pharmacy services. METHODS: A retrospective analysis of 2020-2021 electronic health record data was conducted and included adult patients with T2DM using Choctaw Nation Health Services Authority prescribed ≥1 noninsulin glucose-lowering medication in 2020, had ≥1 A1C value in 2020 and 2021, and had a valid zip code in 2021. Patients receiving both insulin and other noninsulin glucose-lowering medication were included. The proportion of days covered (PDC) was used to calculate medication engagement. Statistical analyses included bivariate analysis and linear regression. RESULTS: There were 3787 patients included in the analyses; 62.5% were considered engaged (PDC ≥ 0.8). The mean 2020 A1C level was 8.0 (64 mmol/mol) ± 1.8; 33% had an A1C of <7%, 42% had an A1C of 7% to 9%, and 25% had an A1C >9%. The mean A1C in 2021 was 7.9 (63 mmol/mol) ± 1.7; 34% had an A1C of <7%, 44% had an A1C of 7% to 9%, and 22% had an A1C >9%. Older age was weakly correlated with higher engagement; higher engagement was associated with lower A1C levels while adjusting for covariates. CONCLUSIONS: Medication engagement was associated with lower A1C levels, and older age was weakly associated with higher engagement to noninsulin glucose-lowering medications, consistent with previous literature. No determinants of health were significantly associated with A1C levels while adjusting for covariates.
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BACKGROUND: American Indian and Alaska Native people (AI/AN) bear a disproportionate burden of diabetes. Growing evidence shows significant associations between several acute diabetes complications and dementia among diabetes patients. However, little is known about these relationships among AI/AN adults. Here, we aim to investigate these associations among AI/AN adults. METHODS: This cross-sectional study extracted data from the Indian Health Service's (IHS) National Data Warehouse and related administrative databases. A total of 29,337 IHS actual users with diabetes who were 45+ years old during fiscal year 2013 were included. All-cause dementia and diabetes complications were identified using ICD-9 diagnostic codes. Negative binomial regression models were used to evaluate the associations of interest. RESULTS: Nearly 3% of AI/AN diabetes patients had a dementia diagnosis. After controlling for covariates, dementia was associated with a 94% higher rate of severe hypoglycemia (Incidence Rate Ratio [IRR = 1.94, 95% CI:1.50-2.51), 52% higher rate of severe hyperglycemia (IRR = 1.52, 95% CI, 1.11-2.08), and 92% higher rate of any acute complication (IRR = 1.92, 95% CI:1.53-2.41). CONCLUSIONS: AI/AN diabetes patients with dementia suffered from considerably higher rates of acute diabetes complications than their counterparts without dementia. The clinical management of patients with comorbid diabetes and dementia is particularly challenging and may require individualized treatment approaches.
Subject(s)
Alaska Natives , Dementia , Diabetes Complications , Indians, North American , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Alaska Natives/statistics & numerical data , American Indian or Alaska Native , Cross-Sectional Studies , Dementia/epidemiology , Diabetes Complications/epidemiology , Indians, North American/statistics & numerical data , United States/epidemiologyABSTRACT
Multilevel interventions (MLIs) are appropriate to reduce health disparities among Indigenous peoples because of their ability to address these communities' diverse histories, dynamics, cultures, politics, and environments. Intervention science has highlighted the importance of context-sensitive MLIs in Indigenous communities that can prioritize Indigenous and local knowledge systems and emphasize the collective versus the individual. This paradigm shift away from individual-level focus interventions to community-level focus interventions underscores the need for community engagement and diverse partnerships in MLI design, implementation, and evaluation. In this paper, we discuss three case studies addressing how Indigenous partners collaborated with researchers in each stage of the design, implementation, and evaluation of MLIs to reduce health disparities impacting their communities. We highlight the following: (1) collaborations with multiple, diverse tribal partners to carry out MLIs which require iterative, consistent conversations over time; (2) inclusion of qualitative and Indigenous research methods in MLIs as a way to honor Indigenous and local knowledge systems as well as a way to understand a health disparity phenomenon in a community; and (3) relationship building, maintenance, and mutual respect among MLI partners to reconcile past research abuses, prevent extractive research practices, decolonize research processes, and generate co-created knowledge between Indigenous and academic communities.
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Health Status Disparities , Humans , Indigenous Peoples , Health Services, Indigenous/organization & administrationABSTRACT
BACKGROUND/OBJECTIVES: The Skindex-29 and Skindex-Teen assess dermatology-related quality of life among adults and adolescents, respectively. This study directly compared the same adolescents' responses to the Skindex-29 relative to Skindex-Teen in a predominantly American Indian and/or Alaska Native population. This population is underrepresented in medical research. Although skin-related quality-of-life issues are widespread, American Indian and/or Alaska Native adolescents are not well-represented in related studies. METHODS: Data were collected in-person by self-report survey at two regional powwows in Denver, Colorado in 2021 and 2022. Respondents completed the full Skindex-29 and Skindex-Teen (40 unique items total). RESULTS: Eighty-six adolescents, 12-17 years old, completed the survey. The majority (70.9%, 61/86) of respondents self-identified as American Indian and/or Alaska Native. Analyses were conducted with all respondent survey data. Nearly two-thirds (64.0%, 55/86) of our respondents had a Skindex-29 score that revealed their quality of life was impaired at least mildly by skin disease. The Skindex-29 and Skindex-Teen demonstrated good reliability; there was substantial concordance between responses to the two measures (r values ranged from 0.88 to 0.97 for similar subscales). Compared to younger adolescents (aged 12-14), older adolescents (aged 15-17) reported worse dermatology-related quality of life and emotional toll based on higher Skindex-29 total, Skindex-Teen total, Skindex-29 Emotional subscale, and Skindex-Teen Psychosocial Functioning subscale scores. CONCLUSIONS: American Indian and/or Alaska Native adolescents suffer from skin-related quality-of-life issues. The Skindex-Teen and Skindex-29 generated similar information regarding quality of life in young patients with skin disease. While the Skindex-Teen may be slightly more relevant to adolescents, these surveys were highly concordant. Both the Skindex-Teen and Skindex-29 exhibited frequent "never" responses to questions about impact of skin conditions on relationships with others and tendencies to stay home. Thus, careful attention should be paid to such questions to ensure their relevance to adolescents.
Subject(s)
Quality of Life , Adolescent , Child , Female , Humans , Male , American Indian or Alaska Native/statistics & numerical data , Colorado , Self Report , Skin Diseases/ethnology , Skin Diseases/psychology , Surveys and QuestionnairesABSTRACT
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.
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American Indian or Alaska Native , COVID-19 , Food Insecurity , Adult , Humans , COVID-19/epidemiology , COVID-19 Testing , Cross-Sectional Studies , PandemicsABSTRACT
(1) Background: American Indians are disproportionately affected by air pollution, an important risk factor for dementia. However, few studies have investigated the effects of air pollution on the risk of dementia among American Indians. (2) Methods: This retrospective cohort study included a total of 26,871 American Indians who were 55+ years old in 2007, with an average follow-up of 3.67 years. County-level average air pollution data were downloaded from land-use regression models. All-cause dementia was identified using ICD-9 diagnostic codes from the Indian Health Service's (IHS) National Data Warehouse and related administrative databases. Cox models were employed to examine the association of air pollution with dementia incidence, adjusting for co-exposures and potential confounders. (3) Results: The average PM2.5 levels in the IHS counties were lower than those in all US counties, while the mean O3 levels in the IHS counties were higher than the US counties. Multivariable Cox regressions revealed a positive association between dementia and county-level O3 with a hazard ratio of 1.24 (95% CI: 1.02-1.50) per 1 ppb standardized O3. PM2.5 and NO2 were not associated with dementia risk after adjusting for all covariates. (4) Conclusions: O3 is associated with a higher risk of dementia among American Indians.
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Air Pollutants , Air Pollution , Dementia , Humans , Middle Aged , Air Pollutants/adverse effects , Air Pollutants/analysis , Particulate Matter/adverse effects , Particulate Matter/analysis , American Indian or Alaska Native , Retrospective Studies , Environmental Exposure/adverse effects , Environmental Exposure/analysis , Air Pollution/adverse effects , Air Pollution/analysis , Dementia/epidemiology , Nitrogen Dioxide/analysisABSTRACT
American Indian and Alaska Native (Native) Veterans enrolled in the U.S. Department of Veterans Affairs (VA) benefits program are far less likely to access health care compared to other racial/ethnic groups, in part driven by challenges posed by often distant, complex, and culturally unresponsive health care that does not easily interface with the Indian Health Service (IHS) and local Tribal Health Care. To address this disparity, in 2020 the Veteran's Health Administration's (VHA) Office of Rural Health (ORH) initiated the development of a patient navigation program designed specifically for rural Native Veterans. There are no navigation programs for rural Native Veterans to guide development of such a program. Hence, the project team sought perspectives from rural Native Veterans, their families, and community advocates, (n = 34), via video and phone interviews about the role and functions of a Veteran patient navigator and personal characteristics best be suited for such a position. Participants believed a navigator program would be useful in assisting rural Native Veterans to access VHA care. They emphasized the importance of empathy, support, knowledge of local culture, and of Veteran experience within tribal communities, adeptness with VHA systems, and personnel consistency. These insights are critical to create a program capable of increasing rural Native Veteran access to VHA services.
Subject(s)
Indians, North American , Patient Navigation , Veterans , United States , Humans , United States Department of Veterans Affairs , United States Indian Health Service , Health Services AccessibilityABSTRACT
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.
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OBJECTIVE: To provide a research agenda and recommendations to address inequities in access to health care. DATA SOURCES AND STUDY SETTING: The Agency for Healthcare Research and Quality (AHRQ) organized a Health Equity Summit in July 2022 to evaluate what equity in access to health care means in the context of AHRQ's mission and health care delivery implementation portfolio. The findings are a result of this Summit, and subsequent convenings of experts on access and equity from academia, industry, and the government. STUDY DESIGN: Multi-stakeholder input from AHRQ's Health Equity Summit, author consensus on a framework and key knowledge gaps, and summary of evidence from the supporting literature in the context of the framework ensure comprehensive recommendations. DATA COLLECTION/EXTRACTION METHODS: Through a stakeholder-engaged process, themes were developed to conceptualize access with a lens toward health equity. A working group researched the most appropriate framework for access to care to classify limitations identified during the Summit and develop recommendations supported by research in the context of the framework. This strategy was intentional, as the literature on inequities in access to care may itself be biased. PRINCIPAL FINDINGS: The Levesque et al. framework, which incorporates multiple dimensions of access (approachability, acceptability, availability, accommodation, affordability, and appropriateness), is the backdrop for framing research priorities for AHRQ. However, addressing inequities in access cannot be done without considering the roles of racism and intersectionality. Recommendations include funding research that not only measures racism within health care but also tests burgeoning anti-racist practices (e.g., co-production, provider training, holistic review, discrimination reporting, etc.), acting as a convener and thought leader in synthesizing best practices to mitigate racism, and forging the path forward for research on equity and access. CONCLUSIONS: AHRQ is well-positioned to develop an action plan, strategically fund it, and convene stakeholders across the health care spectrum to employ these recommendations.
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Health Equity , Racism , Humans , Delivery of Health CareABSTRACT
Objectives: Detoxification clinics manage acute intoxication and withdrawal from alcohol and other drugs. At discharge, patients are referred to treatment, yet many are readmitted to detoxification, creating a "revolving door" of discharges and admissions. This pattern disproportionately affects some groups such as Alaska Native and American Indian (AN/AI) people. The primary goals of this study are to: 1) test the effectiveness of a patient navigation intervention to increase rates of transition to alcohol treatment following detoxification, and 2) prevent readmission to detoxification within 12-months. The secondary goal is a cost-effectiveness and cost-benefit evaluation of patient navigation. Study design: This randomized controlled comparative effectiveness trial plans to recruit 440 patients (â¼70% AN/AI) admitted to alcohol detoxification. We collaborated with Fairbanks Native Association (FNA) to select an appropriate intervention, control condition, and other study-related decisions. Here, we describe intervention development, study design, challenges encountered during implementation, and collaborative processes to identify solutions. Methods: Participants are equally randomized to the control (one motivational interviewing session) or intervention (one motivational interviewing session plus up to four weeks of patient navigation). The primary outcomes are successful transition to alcohol treatment within 30-days after discharge and detoxification readmission within 12-months. The secondary outcome is health-related quality of life. Conclusion: Patient navigation is successful in other settings and for other health conditions. It may assist in overcoming barriers to successful transition to substance use treatment and may augment interventions, such as motivational interviewing, that are less resource-intensive but may not be optimally effective by themselves. ClinicalTrialsgov Identifier: NCT03737864.
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A National Institute of Neurological Disorders and Stroke working group developed the Determinants of Inequities in Neurological Disease, Health, and Well-being framework. Our goal was to guide and inspire a new generation of neurologic research that pushes the field to design and test new approaches in pursuit of health equity, population health, and social justice. We seek to expand the lens of those looking to reduce or eliminate racial, socioeconomic status, and other inequities in neurologic disease, health, and well-being to improve our collective ability to create research, programs, and policies that lead to larger, more impactful, and more sustainable change in neurologic disease patterns. In this context, we outline a framework that includes and highlights "upstream" factors in the hopes of enhancing the focus of research, programmatic, and policy efforts to reduce and eliminate inequities in neurologic health and well-being. We explicitly discuss racism and other structural factors to clarify that social determinants are not natural and unchangeable. Populations with a disproportionate burden of neurologic disease are not inherently deficient, despite what some approaches to framing health inequities imply. The framework is presented linearly, but the pathways linking the determinants of neurologic disease, health, and well-being are far more complex than those demonstrated by the arrows included in the figure. The framework highlights the different levels and scale of causation, including the structural and intermediary social determinants and their impact on neurologic health. We offer this framework to refine efforts to contextualize the interpretation of neurologic research findings and suggest new avenues for their application. We illustrate how behavioral and biological factors occur in a social and economic context, factors that have been understudied as points of intervention to reduce inequities in neurologic disease. Considering social and structural determinants of health provides promising new opportunities to achieve neurologic health equity, reach social justice, and improve our science. Extending our work in this fashion is not simply about health equity or social justice but to fundamentally improve the quality of neurologic research by enhancing underlying theory and improving study design and implementation.
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Health Policy , Social Determinants of Health , United States/epidemiology , Humans , National Institute of Neurological Disorders and Stroke (U.S.) , Social Class , Health Status DisparitiesABSTRACT
OBJECTIVE: The COVID-19 pandemic has disproportionately affected American Indian and Alaska Native (AI/AN) people, who experience a 3.2 times higher age-adjusted rate of hospitalization and nearly double the attributed deaths compared to non-Hispanic Whites. We examined pandemic effects on emotional health and substance use in urban AI/AN people. METHODS: From January-May 2021 we collected cross-sectional data from 642 patients seen at five health organizations serving primarily AI/AN people in urban settings. The outcomes are self-reported, cross-sectional changes in emotional health and substance use since pandemic onset. Exposures of interest include infection history, COVID-19 risk perception, pandemic-related life disruption, and feared effects on AI/AN culture. Poisson regression was used to model adjusted multivariate associations. RESULTS: Since pandemic onset, 46% of participants reported worsened emotional health; 20% reported increased substance use. Very or extremely disruptive pandemic experiences and increasing reported feared pandemic effects on culture were associated with worse pandemic emotional health [adjusted Prevalence Ratio 1.84; 95% CI 1.44, 2.35 and 1.11; 95% CI 1.03, 1.19], respectively. COVID-19 infection and risk perception were not associated with emotional health after adjustment for other factors. The primary exposures were not associated with change in substance use. CONCLUSIONS: The COVID-19 pandemic has impacted the emotional health of urban AI/AN people. The finding that poor emotional health is associated with pandemic-related threats to AI/AN culture may signal a protective role for community and cultural resources. This warrants further study as exploratory analysis did not find hypothesized effect modification according to strength of affiliation with AI/AN culture.
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COVID-19 , Indians, North American , Substance-Related Disorders , Humans , American Indian or Alaska Native , Pandemics , Indians, North American/psychology , Cross-Sectional Studies , COVID-19/epidemiology , Substance-Related Disorders/epidemiologyABSTRACT
Dissemination and implementation science seeks to enhance the uptake, successful implementation, and sustainment of evidence-based programs and policies. While a focus on health equity is implicit in many efforts to increase access to and coverage of evidence-based programs and policies, most implementation frameworks and models do not explicitly address it. Disparities may in fact be increased by emphasizing high intensity interventions or ease of delivery over meeting need within the population, addressing deep-rooted structural inequities, and adapting to local context and priorities. PRISM (Practical, Robust Implementation and Sustainability Model), the contextual expansion of the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework has several elements that address health equity, but these have not been explicated, integrated, or illustrated in one place. We present guidance for applying PRISM with an equity lens across its four context domains (external environment; multi-level perspectives on the intervention; characteristics of implementers and intended audience; and the implementation and sustainability infrastructure-as well as the five RE-AIM outcome dimensions. We then present an example with health equity considerations and discuss issues of representation and participation, representativeness and the importance of ongoing, iterative assessment of dynamic context and structural drivers of inequity. We also elaborate on the importance of a continuous process that requires addressing community priorities and responding to capacity and infrastructure needs and changes. We conclude with research and practice recommendations for applying PRISM with an increased emphasis on equity.
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PURPOSE: The number of American Indian and Alaska Native (AI/AN) people living with dementia is expected to increase 5-fold by 2060. Social determinants of health may explain disparities in the incidence of Alzheimer disease (AD) but remain largely overlooked. METHODS: We examined the time trend of AD mortality rates and associations of the percentage of AI/ANs, density of primary care physicians and neurologists, area deprivation index, rurality, and Indian Health Service region with AD mortality in 646 purchased/referred care delivery area counties. RESULTS: AD mortality rates significantly increased over time. Counties with higher concentrations of AI/AN people had lower AD mortality. More deprived counties had 34% higher AD mortality compared with less deprived counties. AD mortality was 20% lower in nonmetro counties than in metro counties. CONCLUSIONS: Findings have implications for prioritizing areas where more resources for AD care, education, or outreach are needed.
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Alzheimer Disease , American Indian or Alaska Native , Humans , Alzheimer Disease/ethnology , Alzheimer Disease/mortality , United States/epidemiologyABSTRACT
OBJECTIVE: To examine HbA1c levels and adherence to oral glucose-lowering medications and their association with future HbA1c levels among American Indian adults with type 2 diabetes (T2D) receiving medications at no cost from a tribal health care system. RESEARCH DESIGN AND METHODS: Tribal citizens with T2D who used Choctaw Nation Health Services Authority (CNHSA) and Pharmacies and had HbA1c data during 2017-2018 were included in this study. Medication adherence (proportion of days covered [PDC] ≥0.80) was calculated using 2017 CNHSA electronic health record data. RESULTS: Of the 74,000 tribal citizens living on tribal lands, 4,560 were eligible; 32% had HbA1c at or below target (≤7%), 36% were above target (>7 to ≤9%), and 32% were uncontrolled (>9%) in 2017. The percentage of patients with PDC ≥0.80 was 66% for those using biguanides, 72% for sulfonylureas, 75% for dipeptidyl peptidase 4 inhibitors, and 83% for sodium-glucose cotransporter 2 inhibitors. The proportion of patients with HbA1c at or below target increased slightly from 32% in 2017 to 42% in 2018. Higher average PDC in 2017 was associated with lower HbA1c levels in 2018 (ß = -1.143; P < 0.001). CONCLUSIONS: Medication adherence was higher than that found in previous studies using self-report methods in American Indian populations, although a smaller proportion of patients had HbA1c at or below target relative to U.S. adults with T2D. Medication adherence was associated with improved HbA1c levels for most oral glucose-lowering medication classes. Future studies of American Indians should use both longitudinal prescription data from both electronic health records and pharmacy refills.
Subject(s)
Diabetes Mellitus, Type 2 , Medication Adherence , Adult , Humans , American Indian or Alaska Native , Diabetes Mellitus, Type 2/drug therapy , Glucose/therapeutic use , Glycated Hemoglobin , Hypoglycemic Agents/therapeutic use , Health Services, IndigenousABSTRACT
OBJECTIVE: To explore the prevalence of obesity among American Indian and Alaska Native (AIAN) adolescents aged 12-19 years in association with social determinants of health (SDOH), and mental health and substance use disorders. METHODS: Guided by the World Health Organization's Social Determinants of Health Framework, we examined data from the Indian Health Service (IHS) Improving Health Care Delivery Data Project from Fiscal Year 2013, supplemented by county-level data from the U.S. Census and USDA. Our sample included 26,226 AIAN adolescents ages 12-19 years. We described obesity prevalence in relationship to SDOH and adolescents' mental health and substance use disorder status. We then fit a multivariable logit generalized linear mixed model to estimate the relationships after adjusting for other individual and county level characteristics. RESULTS: We observed a prevalence of 32.5% for obesity, 13.8% for mental health disorders, and 5.5% for substance use disorders. Females had lower odds of obesity than males (OR = 0.76, p < 0.001), which decreased with age. Having Medicaid coverage (OR = 1.09, p < 0.01), residing in a county with lower education attainment (OR = 1.17, p < 0.05), and residing in a county with higher rates of poverty (OR = 1.51, p < 0.001) were each associated with higher odds of obesity. Residing in a county with high access to a grocery store (OR = 0.73, p < 0.001) and residing in a county with a higher proportion of AIANs (OR = 0.83, p < 0.01) were each associated with lower odds of obesity. Those with mental health disorders had higher odds of obesity (OR = 1.26, p < 0.001); substance use disorders were associated with decreased odds of obesity (OR = 0.73, p < 0.001). CONCLUSIONS: Our findings inform future obesity prevention and treatment programs among AIAN youth; in particular, the need to consider mental health, substance use, and SDOH.