Health outcomes in a national sample of American Indian and Alaska Native adults: Differences between multiple-race and single-race subgroups.

OBJECTIVES: To determine differences among multi-race (MR) American Indian and Alaska Natives (AIAN), single race (SR) AIANs, and SR-Whites on multiple health outcomes. We tested the following hypotheses: MR-AIANs will have worse health outcomes than SR-AIANs; SR-AIANs will have worse health outcomes than SR-Whites; MR-AIANs will have worse health outcomes than SR-Whites. METHODS: Behavioral Risk Factor Surveillance System data were used to examine general health, risk behaviors, access to health care, and diagnosed chronic health conditions. Those identifying as SR-White, SR-AIAN, and MR-AIAN were included in multinomial logistic regression models. RESULTS: Compared to SR-AIANs, MR-AIANs had more activity limitations, a greater likelihood of experiencing cost as a barrier to health care and were more likely to be at increased risk and diagnosed with more chronic health conditions. Both SR and MR-AIANs have worse health than SR-Whites; MR-AIANs appear to be at increased risk for poor health. CONCLUSIONS: The current study examined access to health care and nine chronic health conditions, neither of which have been considered in prior work. MR AIANs are at increased risk compared to SR groups. These observations beg for further inquire into the mechanisms underlying these differences including stress related to identify, access to care, and discrimination. Findings support the continued need to address health disparities among AIANs regardless of SR or MR identification.

Rural and Urban American Indian and Alaska Native Veteran Health Disparities: a Population-Based Study.

The health service ecology varies considerably across urban-rural divides for American Indian and Alaska Native (AIAN) veterans, which may place rural AIAN veterans at high risk for poor health outcomes. Using the Behavioral Risk Factor Surveillance System 2011 and 2012 data for its detailed race information, we employed adjusted multinomial logistical regression analyses to estimate differences in health outcomes among rural AIAN veterans (n = 1500) and urban AIAN veterans (n = 1567). We used rural White (n = 32,316) and urban White (n = 59,849) veteran samples as comparators. No statistically significant differences between urban and rural AIAN veterans' health outcomes were found. Urban AIAN veterans were 72% more likely to report financial barriers to care compared with urban White veterans (P = .002); no other healthcare access differences were found. Compared with their White veteran counterparts, both urban and rural AIAN veterans were significantly more likely to report poorer physical and mental health across an array of outcomes. Overall, rural and urban AIAN veterans' health outcomes were similar, but both groups suffered compromised health compared with that of both rural and urban White veterans. The findings identified key areas for improving and innovating care for both rural and urban AIAN veterans.

Regression to Normal Glucose Regulation in American Indians and Alaska Natives of a Diabetes Prevention Program.

OBJECTIVE: This study evaluated whether regression from impaired glucose regulation (IGR) to normal glucose regulation (NGR) after 1 year of a lifestyle intervention reduces diabetes risk in American Indians and Alaska Natives (AI/ANs). In addition, we sought to identify predictors for regression to NGR and understand possible mechanisms for the association between NGR and future diabetes risk. RESEARCH DESIGN AND METHODS: Data from participants enrolled from 2006 to 2009 in the Special Diabetes Program for Indians Diabetes Prevention Program with IGR at baseline and an oral glucose tolerance test at year 1 were analyzed (N = 1,443). Cox regression models were used to estimate the subsequent diabetes risk (year 1 to year 3) by year 1 glucose status. Mediation analysis was used to estimate the proportions of the association between year 1 glycemic status and diabetes risk explained by specific factors. RESULTS: Those who reverted to NGR at year 1 (38%) had lower diabetes risk than those with sustained IGR (adjusted hazard ratio 0.28, 95% CI 0.12-0.67). The lower risk associated with regression to NGR was explained by both baseline risk factors and differences in weight loss. Metformin use, weight loss, and an increase in exercise were modifiable risk factors associated with higher odds of regression to NGR. CONCLUSIONS: Patients with prediabetes who reverted to NGR had a reduced risk of developing type 2 diabetes over the next 2 years. Both baseline and modifiable risk factors explained the risk reduction associated with NGR.

Evaluating Community-Based Translational Interventions Using Historical Controls: Propensity Score vs. Disease Risk Score Approach.

Many community-based translations of evidence-based interventions are designed as one-arm studies due to ethical and other considerations. Evaluating the impacts of such programs is challenging. Here, we examine the effectiveness of the lifestyle intervention implemented by the Special Diabetes Program for Indians Diabetes Prevention (SDPI-DP) demonstration project, a translational lifestyle intervention among American Indian and Alaska Native communities. Data from the landmark Diabetes Prevention Program placebo group was used as a historical control. We compared the use of propensity score (PS) and disease risk score (DRS) matching to adjust for potential confounder imbalance between groups. The unadjusted hazard ratio (HR) for diabetes risk was 0.35 for SDPI-DP lifestyle intervention vs. control. However, when relevant diabetes risk factors were considered, the adjusted HR estimates were attenuated toward 1, ranging from 0.56 (95% CI 0.44-0.71) to 0.69 (95% CI 0.56-0.96). The differences in estimated HRs using the PS and DRS approaches were relatively small but DRS matching resulted in more participants being matched and smaller standard errors of effect estimates. Carefully employed, publicly available randomized clinical trial data can be used as a historical control to evaluate the intervention effectiveness of one-arm community translational initiatives. It is critical to use a proper statistical method to balance the distributions of potential confounders between comparison groups in this kind of evaluations.

Recruitment and effectiveness by cohort in a case management intervention among American Indians and Alaska Natives with diabetes.

In real-world settings, eligible populations and intervention effectiveness for a translational intervention likely vary across time. To determine the optimal strategies for effective large-scale implementation of evidence-based interventions, it is critical to investigate these potential variabilities. The purpose of this study is to evaluate whether patient characteristics and intervention effectiveness differed by year of enrollment in a multiyear evidence-based translational intervention. The Special Diabetes Program for Indians Healthy Heart (SDPI-HH) Demonstration Project is an intensive case management intervention designed to reduce cardiovascular disease risk among American Indians and Alaska Natives with diabetes. SDPI-HH participants recruited from 2006 through 2008 were included. Baseline characteristics were compared by year of enrollment. We also evaluated the differences in improvements in clinical and behavioral risk factors for cardiovascular disease among participants recruited in different years. The baseline characteristics of the three cohorts significantly differed in demographics, diabetes duration, health behaviors, level of motivation, and clinical measures. Improvements in 13 clinical and behavioral outcomes also differed by enrollment year with the 2006 cohort having the greatest number of significant improvements and the highest rates of participation and retention. Further investigation into the ways to modify the intensive case management model to address differences in levels of motivation and participation is warranted to improve the management of chronic disease in Indian health. Given the evolving nature of translational initiatives of this kind, our analysis results highlight the need to understand and adapt during the natural progression of health behavioral interventions.

Spirituality and mental health status among Northern Plain tribes.

Spirituality measures often show positive associations with preferred mental health outcomes in the general population; however, research among American Indians (AIs) is limited. We examined the relationships of mental health status and two measures of spirituality - the Midlife Development Inventory (MIDI) and a tribal cultural spirituality measure - in Northern Plains AIs, aged 15-54 (n = 1636). While the MIDI was unassociated with mental health status, the tribal cultural spirituality measure showed a significant relationship with better mental health status. Mental health conditions disproportionately affect AIs. Understanding protective factors such as cultural spirituality that can mitigate mental health disorders is critical to reducing these health disparities.

Long-term Outcomes of Lifestyle Intervention to Prevent Diabetes in American Indian and Alaska Native Communities: The Special Diabetes Program for Indians Diabetes Prevention Program.

OBJECTIVE: Evidence for long-term translational effectiveness of lifestyle interventions in minority populations is scarce. This article reports long-term outcomes, for up to 10 years, of such an intervention to prevent diabetes in American Indian and Alaska Native (AI/AN) communities. RESEARCH DESIGN AND METHODS: From January 2006 to July 2016, the Special Diabetes Program for Indians Diabetes Prevention Program implemented the Diabetes Prevention Program lifestyle intervention among 46 AI/AN health care programs. Enrolled participants underwent a thorough clinical assessment at baseline, after completing the Lifestyle Balance Curriculum (postcurriculum assessment), and annually thereafter. Proportional hazards regression was used to estimate the association between diabetes incidence and postcurriculum weight loss status. RESULTS: Of 8,652 enrolled participants, 65% finished the postcurriculum assessment. The assessment completion rate diminished over time to 13% in year 10. Among those with postcurriculum weight measurements, 2,028 (36%) lost >5% of their initial weight, 978 (17%) lost 3-5%, whereas 2,604 (47%) had <3% weight loss (average weight loss 3.8%). Compared with those with <3% weight loss, participants with >5% weight loss had a 64% (95% CI 54-72) lower risk of developing diabetes during the first 6 years of follow-up, whereas those with 3-5% weight loss had 40% (95% CI 24-53) lower risk. CONCLUSIONS: Moderate to small weight loss was associated with substantially reduced long-term risk of diabetes in diverse AI/AN communities. High participant attrition rates and nonoptimal postcurriculum weight loss are important challenges found in this translational effort implemented in an underserved population.

Food choices and distress in reservation-based American Indians and Alaska Natives with type 2 diabetes.

OBJECTIVE: To examine the association between food choice and distress in a large national sample of American Indians/Alaska Natives (AI/AN) with type 2 diabetes. DESIGN: Participants completed a sociodemographic survey, an FFQ and the Kessler-6 Distress Scale. Foods were identified as 'healthy' or 'unhealthy' using a classification grounded in the health education provided by the programme case managers; healthy and unhealthy food scores were calculated using reported intake frequencies. Pearson's correlation coefficients for distress and food scores were calculated for all participants and by gender. Multiple linear regression models stratified by gender assessed the association between distress and food scores, controlling for sociodemographics and duration of type 2 diabetes. SETTING: Rural AI reservations and AN villages. SUBJECTS: AI/AN (n 2484) with type 2 diabetes. RESULTS: Both males (34·9 %) and females (65·1 %) had higher healthy food scores than unhealthy scores. In bivariate analysis, distress level had a significant negative correlation with healthy food scores among female participants, but the association was not significant among males. Significant positive correlations between distress and unhealthy food scores were found in both genders. In the final multivariate models, healthy food scores were not significantly related to distress; however, unhealthy food scores showed significant positive relationships with distress for both genders (females: ß=0·078, P=0·0007; males: ß=0·139, P<0·0001). CONCLUSIONS: Health professionals working with AI/AN diagnosed with type 2 diabetes should offer food choice strategies during difficult times and recognize that males may be more likely than females to select unhealthy foods when distressed.

Neighborhood characteristics and lifestyle intervention outcomes: Results from the Special Diabetes Program for Indians.

Growing evidence reveals various neighborhood conditions are associated with the risk of developing type 2 diabetes. It is unknown, however, whether the effectiveness of diabetes prevention interventions is also influenced by neighborhood characteristics. The purpose of the current study is to examine the impact of neighborhood characteristics on the outcomes of a lifestyle intervention to prevent diabetes in American Indians and Alaska Natives (AI/ANs). Year 2000 US Census Tract data were linked with those from the Special Diabetes Program for Indians Diabetes Prevention Program (SDPI-DP), an evidence-based lifestyle intervention implemented in 36 AI/AN grantee sites across the US. A total of 3394 participants started the intervention between 01/01/2006 and 07/31/2009 and were followed by 07/31/2016. In 2016-2017, data analyses were conducted to evaluate the relationships of neighborhood characteristics with intervention outcomes, controlling for individual level socioeconomic status. AI/ANs from sites located in neighborhoods with higher median household income had 38% lower risk of developing diabetes than those from sites with lower neighborhood income (adjusted hazard ratio = 0.65, 95% CI: 0.47-0.90). Further, those from sites with higher neighborhood concentrations of AI/ANs achieved less BMI reduction and physical activity increase. Meanwhile, participants from sites with higher neighborhood level of vehicle occupancy made more improvement in BMI and diet. Lifestyle intervention effectiveness was not optimal when the intervention was implemented at sites with disadvantaged neighborhood characteristics. Meaningful improvements in socioeconomic and other neighborhood disadvantages of vulnerable populations could be important in stemming the global epidemic of diabetes.

Mental health burden in a national sample of American Indian and Alaska Native adults: differences between multiple-race and single-race subgroups.

PURPOSE: Research on American Indian and Alaska Native (AIAN) mental health disparities is based largely on either tribal populations or national samples of adults that do not account for multiracial AIANs, even though over 40% of AIANs identify with multiple racial groups. The present investigation extends this research by assessing mental health status in a national sample of multiracial AIAN adults relative to adults who identify exclusively as either AIAN or White. METHODS: 2012 BRFSS data were used to conduct multinomial logistic regression analyses comparing mental health outcomes among respondents who identified as either AIAN and one or more other races (AIAN-MR), AIAN-Single Race (AIAN-SR), or White-SR. RESULTS: After demographic adjustment, the AIAN-MR group reported a higher lifetime prevalence of diagnosed depressive disorder, more days of poor mental health, and more frequent mental distress compared to both the AIAN-SR and White-SR groups. AIAN-MR individuals also had higher levels of Kessler 6 (K6) non-specific psychological distress compared to White-SR individuals but not AIAN-SR adults. Differences between AIAN-SR and White-SR adults were found in days of poor mental health, frequent mental distress, and total K6 scores. CONCLUSIONS: These findings help gauge the magnitude of mental health disparities in the U.S. AIAN population and pinpoint AIAN subgroups for whom mental health is particularly problematic. As such, they raise concerns about restrictions that limit the identification of national survey respondents who report multiple race designations. Such restrictions will thwart efforts to understand the causal mechanisms and pathways leading to mental distress among AIAN individuals.

Reservation Lands as a Protective Social Factor: An Analysis of Psychological Distress among Two American Indian Tribes.

The unique physical, cultural, and ecological location of U.S. American Indian reservations simultaneously presents risks for mental health and offers sources of resilience to Native peoples. Using survey data from two American Indian tribes, we explore whether the length of one's life spent on a reservation is associated with lower odds of psychological distress. In both tribes, we find that individuals who live a vast majority of their lives on the reservation have lower odds of psychological distress than individuals who spent portions of their life off or near the reservation. These findings suggest a need to reframe the perception of life experience on tribal reservations but also call for a more nuanced investigation of the life experience of American Indians. This study illustrates the importance of deeply exploring the relationship that American Indians have with their tribal reservation lands.

Self-Efficacy About Sexual Risk/Protective Behaviors: Intervention Impact Trajectories Among American Indian Youth.

For adolescents, normative development encompasses learning to negotiate challenges of sexual situations; of special importance are skills to prevent early pregnancy, HIV, and other sexually transmitted diseases. Disparities in sexual risk among American Indian youth point to the importance of intervening to attenuate this risk. This study explored the impact of Circle of Life (COL), an HIV prevention intervention based on social cognitive theory, on trajectories of self-efficacy (refusing sex, avoiding sexual situations) among 635 students from 13 middle schools on one American Indian reservation. COL countered a normative decline of refusal self-efficacy among girls receiving the intervention by age 13, while girls participating at age 14 or older, girls in the comparison group, and all boys showed continuing declines.

Demographic, Clinical, and Service Utilization Factors Associated with Suicide-Related Visits among Alaska Native and American Indian Adults.

Alaska Native and American Indian people (AN/AIs) are disproportionately affected by suicide. Within a large AN/AI health service organization, demographic, clinical, and service utilization factors were compared between those with a suicide-related health visit and those without. Cases had higher odds of a behavioral health diagnosis, treatment for an injury, behavioral health specialty care visits, and opioid medication dispensation in the year prior to a suicide-related visit compared to gender-, age-, and residence- (urban versus rural) matched controls. Odds of a suicide-related visit were lower among those with private insurance and those with non-primary care ambulatory clinic visits.

Alcohol detoxification completion, acceptance of referral to substance abuse treatment, and entry into substance abuse treatment among Alaska Native people.

BACKGROUND: Little is known about factors associated with detoxification treatment completion and the transition to substance abuse treatment following detoxification among Alaska Native people. This study examined 3 critical points on the substance abuse continuum of care (alcohol detoxification completion, acceptance of referral to substance abuse treatment, entry into substance abuse treatment following detoxification). METHODS: The retrospective cohort included 383 adult Alaska Native patients admitted to a tribally owned and managed inpatient detoxification unit. Three multiple logistic regression models estimated the adjusted associations of each outcome separately with demographic/psychosocial characteristics, clinical characteristics, use related behaviors, and health care utilization. RESULTS: Seventy-five percent completed detoxification treatment. Higher global assessment functioning scores, longer lengths of stay, and older ages of first alcohol use were associated with completing detoxification. A secondary drug diagnosis was associated with not completing detoxification. Thirty-six percent accepted a referral to substance abuse treatment following detoxification. Men, those with legal problems, and those with a longer length of stay were more likely to accept a referral to substance abuse treatment. Fifty-eight percent had a confirmed entry into a substance abuse treatment program at discharge. Length of stay was the only variable associated with substance abuse treatment entry. CONCLUSIONS: Services like motivational interviewing, counseling, development of therapeutic alliance, monetary incentives, and contingency management are effective in linking patients to services after detoxification. These should be considered, along with the factors associated with each point on the continuum of care when linking patients to follow-up services.

Sleep Duration and Diabetes Risk in American Indian and Alaska Native Participants of a Lifestyle Intervention Project.

STUDY OBJECTIVES: We examine the association between self-reported sleep duration and diabetes incidence in a national sample of American Indians/ Alaska Natives (AI/ANs) with prediabetes. METHODS: Data were derived from the Special Diabetes Program for Indians Diabetes Prevention demonstration project. This longitudinal analysis included 1,899 participants with prediabetes recruited between January 1, 2006 and July 31, 2009 who reported sleep duration and completed all 16 classes of the lifestyle intervention consisting of diet, exercise, and behavior modification sessions to promote weight loss. Three years of follow-up data were included to fit Cox regression models to compute hazard ratios (HRs) for diabetes incidence across sleep duration categories. RESULTS: The crude diabetes incidence rate was 4.6 per 100 person-years among short sleepers (≤ 6 h per night) compared to 3.2 among those sleeping 7 h and 3.3 among those sleeping 8 h or more. After adjustment for age and sex, short sleep (≤ 6 h vs. others) was associated with increased diabetes risk (HR 1.55 [95% confidence interval 1.11-2.17]); risk remained significantly elevated after controlling for socioeconomic characteristics, health behaviors, and health status. When adjusting for body mass index and percent weight loss, the short sleep-diabetes relationship was attenuated (HR 1.32 [95% confidence interval 0.92-1.89]). No significant long sleep-diabetes association was found. Further, short sleepers lost significantly less weight than others (3.7% vs. 4.3%, P = 0.003). CONCLUSIONS: Short sleep duration, but not long duration, was significantly associated with increased diabetes risk and less weight loss among AI/ANs in a lifestyle intervention. Further exploration of the complex factors underlying short sleep duration is warranted.

Psychiatric disorders and mental health treatment in American Indians and Alaska Natives: results of the National Epidemiologic Survey on Alcohol and Related Conditions.

PURPOSE: To examine the prevalence of common psychiatric disorders and associated treatment-seeking, stratified by gender, among American Indians/Alaska Natives and non-Hispanic whites in the United States. Lifetime and 12-month rates are estimated, both unadjusted and adjusted for sociodemographic correlates. METHOD: Analyses were conducted with the American Indians/Alaska Native (n = 701) and Non-Hispanic white (n = 24,507) samples in the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions [(NESARC) n = 43,093]. RESULTS: Overall, 70 % of the American Indian/Alaska Native men and 63 % of the women met criteria for at least one Diagnostic and Statistical Manual-IV lifetime disorder, compared to 62 and 53 % of Non-Hispanic white men and women, respectively. Adjusting for sociodemographic correlates attenuated the differences found. Nearly half of American Indians/Alaska Natives had a psychiatric disorder in the previous year; again, sociodemographic adjustments explained some of the differences found. Overall, the comparisons to non-Hispanic whites showed differences were more common among American Indian/Alaska Native women than men. Among those with a disorder, American Indian/Alaska Native women had greater odds of treatment-seeking for 12-month anxiety disorders. CONCLUSION: As the first study to provide national estimates, by gender, of the prevalence and treatment of a broad range of psychiatric disorders among American Indians/Alaska Natives, a pattern of higher prevalence of psychiatric disorder was found relative to Non-Hispanic whites. Such differences were more common among women than men. Prevalence may be overestimated due to cultural limitations in measurement. Unmeasured risk factors, some specific to American Indians/Alaska Natives, may also partially explain these results.

Gender differences among Alaska Native people seeking alcohol withdrawal treatment.

BACKGROUND: Few studies focus on gender differences among patients who utilize detoxification services; even fewer focus on detoxification for Alaska Native people. This analysis focused on gender differences at admission among a sample of Alaska Native patients seeking alcohol withdrawal treatment. METHODS: The sample included 383 adult Alaska Native patients admitted to an inpatient alcohol detoxification unit during 2006 and 2007. Logistic regression was used to estimate unadjusted and adjusted associations with gender. RESULTS: Women were 88% more likely to have stable housing than men (odds ratio [OR] = 1.88, 95% confidence interval [CI] = 1.15, 3.05, P = .01). Women were 87% less likely to be seasonal workers (OR = 0.13, 95% CI = 0.03, 0.48, P = .003) and 50% less likely than men to be seeking employment (OR = 0.50, 95% CI = 0.29, 0.84, P = .01) at admission. Women had more than 5 times the odds of having children in the home at admission (OR = 5.64, 95% CI = 3.03, 10.56, P < .001) and almost 3 times the odds of experiencing physical abuse than men (OR = 2.96, 95% CI = 1.31, 6.66, P = .01). Additionally, women were 50% less likely to accept a referral to substance abuse treatment following detoxification (OR = 0.50, 95% CI = 0.30, 0.83, P = .01). CONCLUSIONS: The study found significant differences based upon gender. For instance, women are in need of services that accommodate women with children and services that address histories of physical abuse. Conversely, men are in need of housing and employment opportunities. Post detoxification follow-up, case management, and transition to care should include gender as a factor in treatment planning.

Derivation and Evaluation of a Risk-Scoring Tool to Predict Participant Attrition in a Lifestyle Intervention Project.

Participant attrition in clinical trials and community-based interventions is a serious, common, and costly problem. In order to develop a simple predictive scoring system that can quantify the risk of participant attrition in a lifestyle intervention project, we analyzed data from the Special Diabetes Program for Indians Diabetes Prevention Program (SDPI-DP), an evidence-based lifestyle intervention to prevent diabetes in 36 American Indian and Alaska Native communities. SDPI-DP participants were randomly divided into a derivation cohort (n = 1600) and a validation cohort (n = 801). Logistic regressions were used to develop a scoring system from the derivation cohort. The discriminatory power and calibration properties of the system were assessed using the validation cohort. Seven independent factors predicted program attrition: gender, age, household income, comorbidity, chronic pain, site's user population size, and average age of site staff. Six factors predicted long-term attrition: gender, age, marital status, chronic pain, site's user population size, and average age of site staff. Each model exhibited moderate to fair discriminatory power (C statistic in the validation set: 0.70 for program attrition, and 0.66 for long-term attrition) and excellent calibration. The resulting scoring system offers a low-technology approach to identify participants at elevated risk for attrition in future similar behavioral modification intervention projects, which may inform appropriate allocation of retention resources. This approach also serves as a model for other efforts to prevent participant attrition.