An online diabetes nutrition education programme for American Indian and Alaska Native adults with type 2 diabetes: perspectives from key stakeholders.
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ABSTRACT: Objective
To explore stakeholder perspectives regarding online diabetes nutrition education for American Indians and Alaska Natives (AI/AN) with type 2 diabetes (T2D).Design
Qualitative data were collected through focus groups and interviews. Focus group participants completed a brief demographic and internet use survey.Setting
Focus groups and community participant interviews were conducted in diverse AI/AN communities. Interviews with nationally recognised content experts were held via teleconference.Participants
Eight focus groups were conducted with AI/AN adults with T2D (n 29) and their family members (n 22). Community participant interviews were conducted with eleven clinicians and healthcare administrators working in Native communities. Interviews with nine content experts included clinicians and researchers serving AI/AN.Results
Qualitative content analysis used constant comparative method for coding and generating themes across transcripts. Descriptive statistics were computed from surveys. AI/AN adults access the internet primarily through smartphones, use the internet for many purposes and identify opportunities for online diabetes nutrition education.Conclusions
Online diabetes nutrition education may be feasible in Indian Country. These findings will inform the development of an eLearning diabetes nutrition education programme for AI/AN adults with T2D.
SUBMITTER: Stotz S
PROVIDER: S-EPMC8132168 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:INTRODUCTION:The objective of this study was to examine recent trends in diagnosed diabetes prevalence for American Indian and Alaska Native (AI/AN) adults aged 18 years and older in the Indian Health Service (IHS) active clinical population. RESEARCH DESIGN AND METHODS:Data were extracted from the IHS National Data Warehouse for AI/AN adults for each fiscal year from 2006 (n=729?470) through 2017 (n=1 034 814). The prevalence of diagnosed diabetes for each year and the annual percentage change were estimated for adults overall, as well as by sex, age group, and geographic region. RESULTS:After increasing significantly from 2006 to 2013, diabetes prevalence for AI/AN adults in the IHS active clinical population decreased significantly from 2013 to 2017. Prevalence was 14.4% (95% CI 13.9% to 15.0%) in 2006; 15.4% (95% CI 14.8% to 16.0%) in 2013; and 14.6% (95% CI 14.1% to 15.2%) in 2017. Trends for men and women were similar to the overall population, as were those for all age groups. For all geographic regions, prevalence either decreased significantly or leveled off in recent years. CONCLUSIONS:Diabetes prevalence in AI/AN adults in the IHS active clinical population has decreased significantly since 2013. While these results cannot be generalized to all AI/AN adults in the USA, this study documents the first known decrease in diabetes prevalence for AI/AN people.
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Project description:Meaningful engagement of Alaska Native (AN) tribes and tribal health organizations is essential in the conduct of socially responsible and ethical research. As genomics becomes increasingly important to advancements in medicine, there is a risk that populations not meaningfully included in genomic research will not benefit from the outcomes of that research. AN people have historically been underrepresented in biomedical research; AN underrepresentation in genomics research is compounded by mistrust based on past abuses, concerns about privacy and data ownership, and cultural considerations specific to this type of research. Working together, the National Human Genome Research Institute and two Alaska Native health organizations, Southcentral Foundation and the Alaska Native Health Board, cosponsored a workshop in July 2018 to engage key stakeholders in discussion, strengthen relationships, and facilitate partnership and consideration of participation of AN people in community-driven biomedical and genomic research. AN priorities related to translation of genomics research to health and health care, return of genomic results, design of research studies, and data sharing were discussed. This report summarizes the perspectives that emerged from the dialogue and offers considerations for effective and socially responsible genomic research partnerships with AN communities.
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Project description:BackgroundSocioeconomic status (SES) is associated with several health-related outcomes, such as obesity and body mass index (BMI). However, we do not know whether SES is associated differently with children's BMI from American Indian and Alaska Native and Native Hawaiian and Pacific Islander (AIAN/NHPI) families when compared to non-Hispanic White (NHW) families.AimTo compare AIAN/NHPI and NHW families for associations between parental education, family income, and children's BMI in the United States (U.S).MethodsThis cross-sectional investigation used the Adolescent Brain Cognitive Development (ABCD) study data. Participants (n = 8580) included 63 AIAN/NHPI and 8517 NHW children between ages 9 and 10. The independent variables were parental education and family income. The primary outcome was BMI. Race was the moderator. Age, sex, and family structure were covariates. Mixed-effects regression models were used for data analysis.ResultsIn the pooled sample, higher parental education and family income were associated with lower children's BMI. We found interactions between race and parental education and family income indicating weaker associations between parental education and family income and children's BMI in AIAN/NHPI families than in NHW families.ConclusionThe salience of parental education and family income as social determinants of children's BMI is diminished for AIAN/NHPI families than NHW families. As a result, AIAN/NHPI children with high SES remain at risk for high BMI, while high-SES NHW children show the lowest BMI. Future research should test if obesogenic environments, food options, and physical activity-friendly neighborhoods can explain higher-than-expected BMI in high-SES AIAN/NHPI children. In other terms, more research is needed to understand if residential segregation, discrimination, and historical trauma explain the observed differences in the social patterning of childhood BMI in AIAN/NHPI and NHW communities.
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Project description:Currently, little is known about patterns of co-occurring risk and protective factors among young children. Understanding variations in co-occurring risk and protective factors among children in Alaska is important as experiences of collective trauma may contribute to differences in the intersection of risk and protective factors between Alaska Native/American Indian (AN/AI) and non-Native children. Using data from the Alaska Longitudinal Child Abuse and Neglect Linkage (ALCANLink) project, a linkage of the 2009-2011 Alaska Pregnancy Risk Assessment Monitoring System survey and administrative data sources, and the 2012-2014 Childhood Understanding Behaviors Survey, we conducted latent class analysis to identify classes of AN/AI (N?=?593) and non-Native (N?=?1018) children in terms of seven risk factors (poverty, maternal depression, maternal binge drinking, parental incarceration, intimate partner violence exposure, other violence exposure, child maltreatment) and four protective factors (father figure involvement, reading by adults, family meals, peer interactions) experienced prior to age 3 years. We identified two classes among AN/AI children: (1) high risk-moderate protection (29.1%) and (2) low socioeconomic status-high protection (70.9%). We identified two classes among non-Native children: (1) moderate risk-high protection (32.9%) and (2) low risk-high protection (67.1%). A test of invariance revealed that risk and protective factor probabilities differed significantly for corresponding classes of AN/AI and non-Native children. Overall, results demonstrate heterogeneity within and between AN/AI and non-Native children in early experiences of risk and protection and suggest that interventions will be more effective if tailored to the experiences and developmental needs of specific groups of Alaska children.
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Project description:BackgroundThere is growing global demand for country-specific information to track nutritional status and its determinants, including intervention coverage. Periodic population-based surveys form the backbone of most national nutrition information systems. However, data on the coverage of many nutrition specific and sensitive interventions remain sparse.MethodsAn online survey was administered to the international nutrition community in 2018 through relevant listservs and professional networks to characterize their use of nutrition-related indicators and data sources. Respondents were asked about their professional background, access and use of specific indicators and data sources in the previous year, and unmet data needs. Results were tabulated by respondent characteristics and χ2 tests used for statistical testing.ResultsComplete survey responses were received from 235 respondents, the majority from non-governmental organizations and research communities, and few from governments. Demographic Health Surveys (DHS) were the most frequently accessed country-specific data source and the Global Nutrition Report (GNR) was the most accessed consolidated data source, each accessed by approximately 75% of respondents. Respondents with a multi-country focus were more likely to have accessed DHS than those with a single-country focus (85% vs 60%, P < 0.001). Similarly, respondents with a multi-country focus were more likely to have accessed the GNR compared to those with a single-country focus (82% vs 66%, P < 0.05). The most commonly accessed indicators overall were the prevalence of exclusive breastfeeding (69%), child minimum dietary diversity (66%), under-5 stunting (65%), and under-5 wasting (65%). Reported data gaps included adult and household diet quality indicators (n = 32), nutrition-sensitive intervention coverage (n = 25), and infant and young child feeding promotion coverage (n = 11). Lack of data availability for the desired geographic level (82%) or demographic group of interest (82%) and out-of-date data (77%) were common data challenges experienced by respondents.ConclusionsThe survey results highlight the continued need for high-quality, actionable nutrition data to help facilitate progress towards national and global nutrition targets.
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Project description:BACKGROUND:Contact with child protective services (CPS) functions as an independent marker of child vulnerability. Alaska children are an important population for understanding patterns of CPS contact given high rates of contact overall and among specific demographic groups. OBJECTIVE:We aimed to identify longitudinal trajectory classes of CPS contact among Alaska Native/American Indian (AN/AI) and non-Native children and examine preconception and prenatal risk factors associated with identified classes. PARTICIPANTS AND SETTING:We used data from the Alaska Longitudinal Child Abuse and Neglect Linkage (ALCANLink) project, a linkage of 2009-2011 Alaska Pregnancy Risk Assessment Monitoring System (PRAMS) births with administrative data including CPS records. METHODS:We conducted growth mixture modeling to identify trajectory classes of CPS contact from birth to age five years. We used Vermunt's three-step approach to examine associations with preconception and prenatal risk factors. RESULTS:Among AN/AI children, we identified three classes: 1) no/low CPS contact (75.4%); 2) continuous CPS contact (19.6%), and 3) early, decreasing CPS contact (5.0%). Among non-Native children, we identified four classes: 1) no CPS contact (81.3%); 2) low, increasing CPS contact (9.5%); 3) early, rapid decline CPS contact (5.8%); and 4) high, decreasing CPS contact (3.3%). Maternal substance use had the largest impact on probabilities of class membership, increasing the probability of membership in classes characterized by CPS contact, among both AN/AI and non-Native children. CONCLUSIONS:Results reveal heterogeneity in longitudinal patterns CPS contact across early childhood among Alaska children and identify maternal substance use as an important target for primary prevention.
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Project description:Little is known about the association between problem-gambling severity and psychiatric disorders among American-Indian/Alaska-Native (AI/AN) individuals. Thus, we examined these factors among a nationally representative sample of AI/AN and other American adults in the USA.Using the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) data, we conducted separate Wald tests and multinomial logistic regression analyses comparing AI/AN to black/African American, white/Caucasian, and all other racial/ethnic groups, respectively.Relative to other American adults, AI/AN adults were least likely to report non-/low-frequency gambling (NG: AI/AN 66.5%, white/Caucasian 70.5%, black/African American 72.8%, other racial/ethnic group 72.3%) and most likely to report low-risk gambling (LRG: AI/AN 30.1%, white/Caucasian 26.5%, black/African American 23.4%, other racial/ethnic group 24.7%). The association between at-risk/problem-gambling (ARPG) and any past-year Axis-I disorder was stronger among AI/AN versus other American adults. Although ARPG and LRG were associated with multiple past-year Axis-I and lifetime Axis-II psychiatric disorders in both AI/AN and other American adults, LRG was more strongly associated with both Axis-I disorders (particularly major depression, generalized anxiety disorder and nicotine dependence) and Cluster-B Axis-II (particularly antisocial personality disorder) disorders in AI/AN versus other American adults.A stronger association between problem-gambling severity and past-year psychiatric disorders among AI/AN relative to other American adults suggests the importance of enhancing mental health and problem-gambling prevention and treatment strategies that may help AI/AN individuals.
| S-EPMC4744487 | biostudies-literature
Project description:The purpose of this article is to describe the American Indian/Alaska Native (AI/AN) dentist workforce, the general practice patterns of these providers, and their contributions to oral health care for AI/AN and underserved patients.A national sample survey of underrepresented minority dentists was conducted in 2012 and received a 34 percent response rate for self-reported AI/AN dentists. Data were weighted for selection and response bias to be nationally representative. Descriptive and multivariable statistics were computed to provide a workforce profile. Comparisons to Census data and published information on dental students and dentists were used to examine practice patterns.The AI/AN dentist workforce (weighted n?=?442) is very diverse with 55 reported individual tribal affiliations. Tribal heritage was provided by 95.7 percent of AI/AN dentists (n?=?423), and of these, 93.9 percent (n?=?400) reported an affiliation with only one tribe. The largest share of AI/AN dentists were born in the United States (98.2 percent, n?=?434), married (75.6 percent, n?=?333), and had dependent children under age 18 (52.0 percent, n?=?222). Only 0.9 percent (n?=?4) of AI/AN dentists spoke a traditional AI/AN language in patient care, while 10.6 percent (n?=?46) were raised on tribal land or reservation. Initial practice in the Indian Health Service was reported by 15.8 percent of AI/AN dentists while 16.2 percent report currently practicing in a safety-net setting, and 42.0 percent report working in a practice that primarily serves underserved patients.AI/AN dentists provide a disproportionate share of care for AI/AN populations, yet the number of AI/AN dentists would need to increase 7.4-fold in order to meet population parity.
| S-EPMC5461211 | biostudies-literature
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.
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