Dataset Information

Chronic respiratory disease disparity between American Indian/Alaska Native and white populations, 2011-2018.

ABSTRACT:

Background

American Indian/Alaska Native (AI/AN) populations have been disproportionately affected by chronic respiratory diseases for reasons incompletely understood. Past research into disease disparity using population-based surveys mostly focused on state-specific factors. The present study investigates the independent contributions of AI/AN racial status and other socioeconomic/demographic variables to chronic respiratory disease disparity in an 11-state region with historically high AI/AN representation. Using data from the Behavioral Risk Factor Surveillance System (BRFSS) spanning years 2011-2018, this work provides an updated assessment of disease disparity and potential determinants of respiratory health in AI/AN populations.

Methods

This cross-sectional study used data from the BRFSS survey, 2011-2018. The study population included AI/AN and non-Hispanic white individuals resident in 11 states with increased proportion of AI/AN individuals. The yearly number of respondents averaged 75,029 (62878-87,350) which included approximately 5% AI/AN respondents (4.5-6.3%). We compared the yearly adjusted prevalence for chronic respiratory disease, where disease status was defined by self-reported history of having asthma and/or chronic obstructive pulmonary disease (COPD). Multivariable logistic regression was performed to determine if being AI/AN was independently associated with chronic respiratory disease. Covariates included demographic (age, sex), socioeconomic (marital status, education level, annual household income), and behavioral (smoking, weight morbidity) variables.

Results

The AI/AN population consistently displayed higher adjusted prevalence of chronic respiratory disease compared to the non-Hispanic white population. However, the AI/AN race/ethnicity characteristic was not independently associated with chronic respiratory disease (OR, 0.93; 95% CI, 0.79-1.10 in 2017). In contrast, indicators of low socioeconomic status such as annual household income of <$10,000 (OR, 2.02; 95% CI, 1.64-2.49 in 2017) and having less than high school education (OR, 1.37; 95% CI, 1.16-1.63 in 2017) were positively associated with disease. These trends persisted for all years analyzed.

Conclusions

This study highlighted that AI/AN socioeconomic burdens are key determinants of chronic respiratory disease, in addition to well-established risk factors such as smoking and weight morbidity. Disease disparity experienced by the AI/AN population is therefore likely a symptom of disproportionate socioeconomic challenges they face. Further promotion of public health and social service efforts may be able to improve AI/AN health and decrease this disease disparity.

SUBMITTER: Laffey KG

PROVIDER: S-EPMC8317382 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND: American Indians and Alaska Native (AI/AN) populations experience significant health disparities compared to non-Hispanic white populations. Cardiovascular disease and related risk factors are increasingly recognized as growing indicators of global health disparities. However, comparative reports on disparities among this constellation of diseases for AI/AN populations have not been systematically reviewed. OBJECTIVES: We performed a literature review on the prevalence of diabetes, metabolic syndrome, dyslipidemia, obesity, hypertension, and cardiovascular disease; and associated morbidity and mortality among AI/AN. DATA SOURCES: A total of 203 articles were reviewed, of which 31 met study criteria for inclusion. Searches were performed on PUBMED, MEDLINE, the CDC MMWR, and the Indian Health Services. STUDY ELIGIBILITY CRITERIA: Published literature that were published within the last fifteen years and provided direct comparisons between AI/AN to non-AI/AN populations were included. STUDY APPRAISAL AND SYNTHESIS METHODS: We abstracted data on study design, data source, AI/AN population, comparison group, and. outcome measures. A descriptive synthesis of primary findings is included. RESULTS: Rates of obesity, diabetes, cardiovascular disease, and metabolic syndrome are clearly higher for AI/AN populations. Hypertension and hyperlipidemia differences are more equivocal. Our analysis also revealed that there are likely regional and gender differences in the degree of disparities observed. LIMITATIONS: Studies using BRFSS telephone surveys administered in English may underestimate disparities. Many AI/AN do not have telephones and/or speak English. Regional variability makes national surveys difficult to interpret. Finally, studies using self-reported data may not be accurate. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: Profound health disparities in cardiovascular diseases and associated risk factors for AI/AN populations persist, perhaps due to low socioeconomic status and access to quality healthcare. Successful programs will address social determinants and increase healthcare access. Community-based outreach to bring health services to the most vulnerable may also be very helpful in this effort. SYSTEMATIC REVIEW REGISTRATION NUMBER: N/A.

Project description:ImportanceIdentifying gaps in inclusivity of Indigenous individuals is key to diversifying academic medical programs, increasing American Indian and Alaska Native representation, and improving disparate morbidity and mortality outcomes in American Indian and Alaska Native populations.ObjectiveTo examine representation of American Indian and Alaska Native individuals at different stages in the 2018-2019 academic medical training continuum and trends (2011-2020) of American Indian and Alaska Native representation in residency specialties.Design, setting, and participantsA cross-sectional, population-based analysis was conducted using self-reported race and ethnicity data on trainees from the Association of American Medical Colleges (2018), the Accreditation Council for Graduate Medical Education (2011-2018), and the US Census (2018). Data were analyzed between February 18, 2020, and March 4, 2021.ExposuresEnrolled trainees at specific stages of medical training.Main outcomes and measuresThe primary outcome was the odds of representation of American Indian and Alaska Native individuals at successive academic medical stages in 2018-2019 compared with White individuals. Secondary outcomes comprised specialty-specific proportions of American Indian and Alaska Native residents from 2011 to 2020 and medical specialty-specific proportions of American Indian and Alaska Native physicians in 2018. Fisher exact tests were performed to calculate the odds of American Indian and Alaska Native representation at successive stages of medical training. Simple linear regressions were performed to assess trends across residency specialties.ResultsThe study data contained a total of 238 974 607 White and American Indian and Alaska Native US citizens, 24 795 US medical school applicants, 11 242 US medical school acceptees, 10 822 US medical school matriculants, 10 917 US medical school graduates, 59 635 residents, 518 874 active physicians, and 113 168 US medical school faculty. American Indian and Alaska Native individuals had a 63% lower odds of applying to medical school (odds ratio [OR], 0.37; 95% CI, 0.31-0.45) and 48% lower odds of holding a full-time faculty position (OR, 0.52; 95% CI, 0.44-0.62) compared with their White counterparts, yet had 54% higher odds of working in a residency specialty deemed as a priority by the Indian Health Service (OR, 1.54; 95% CI, 1.09-2.16). Of the 33 physician specialties analyzed, family medicine (0.55%) and pain medicine (0.46%) had more than an average proportion (0.41%) of American Indian and Alaska Native physicians compared with their representation across all specialties.Conclusions and relevanceThis cross-sectional study noted 2 distinct stages in medical training with significantly lower representation of American Indian and Alaska Native compared with White individuals. An actionable framework to guide academic medical institutions on their Indigenous diversification and inclusivity efforts is proposed.