Demographic characteristics and food choices of participants in the Special Diabetes Program for American Indians Diabetes Prevention Demonstration Project

Delivering the National Diabetes Prevention Program: Assessment of Retention, Physical Activity, and Weight Loss Outcomes by Participant Characteristics and Delivery Modes

Type 2 diabetes disproportionately affects older adults, persons from racial and ethnic minority groups, and persons of low socioeconomic status. It can be prevented or delayed through evidence-based interventions such as the National Diabetes Prevention Program (National DPP) lifestyle change program (LCP). This analysis is aimed at evaluating the outcomes (i.e., retention, physical activity, and weight loss) associated with participation in the National DPP LCP by participant characteristics and delivery mode (i.e., in-person, online, distance learning, and combination) using the 2012-2018 Diabetes Prevention Recognition Program (DPRP) data. Across all delivery modes, there were generally no substantial differences in retention between male and female participants, but male participants tended to have higher physical activity and weight loss (e.g., average weight loss for in-person delivery: 5.0% for males and 4.3% for females). Older participants had better retention rates than younger participants in all delivery modes and mostly higher physical activity and weight loss except for distance learning delivery (e.g., average weight loss for in-person delivery: 5.1% for those aged 65+ and 3.3% for those aged 18-34). Among the seven racial and ethnic groups studied, retention was generally highest for non-Hispanic/Latino (NH)-White participants and lowest for Hispanic/Latino participants. Physical activity varied by racial and ethnic groups and delivery mode. NH-White participants generally had the most weight loss except for distance learning delivery, and NH-Black/African American participants had the least (e.g., average weight loss for in-person delivery: 5.1% for NH-White participants, 3.3% for both NH-Black/African American and NH-American Indian/Alaska Native participants, and other racial and ethnic minority groups ranged from 3.4% to 4.9%). Monitoring and identifying disparities across demographics and delivery modes, particularly across multiple racial and ethnic groups, provides information that can be used to improve the implementation of the National DPP LCP by tailoring the intervention to reduce disparities.

Racial/Ethnic Discrimination and Food Consumption: Examination in Diverse Samples

Background

Racial/ethnic discrimination has been linked to poor health outcomes. Effects of discrimination on health behaviors, including patterns of food consumption, may contribute to health outcomes.

Purpose

We examined relations of discrimination to consumption of healthy and unhealthy foods in two diverse samples. Structural equation modeling was used to examine variations in associations of discrimination to consumption by the timing and type of discrimination, for healthy vs. unhealthy food, and by sample.

Methods

Study 1 included a racially and ethnically diverse sample of adults from New York City (NYC: N = 157); Study 2 included a sample of American Indian and Alaska Native (AI/AN) adults from the Denver metro area (N = 303), many of whom also identified with other racial/ethnic groups. Participants completed self-report measures of racial/ethnic discrimination, food consumption, life stressors, and sociodemographic variables.

Results

Structural equation models indicated discrimination was associated with food consumption. Tests of model invariance indicated that the model of discrimination to food consumption can be applied to both samples. Discrimination within the past-week was associated with more frequent consumption of both unhealthy and healthy foods, whereas lifetime discrimination was associated with more frequent consumption only of unhealthy foods.

Conclusions

The data were limited to self-report measures and only the frequency of consumption was assessed. The findings suggest discrimination may contribute to health disparities through effects on food consumption. Differential effects for past-week and lifetime discrimination suggest that multiple mechanisms may be involved.

Change in physical activity, food choices and hemoglobin A1c among American Indians and Alaska Natives with type 2 diabetes

•

At baseline, physically active participants with higher healthy food scores had lower HbA1c levels than non-active participants.

•

Over the three-year period, women who increased physical activity and/or healthy food consumption had slightly decreased HbA1c.

•

Changes in physical activity and HbA1c differed by gender.

The prevalence of diabetes among American Indian and Alaska Native (AI/AN) adults is the highest of all United States racial/ethnic groups. Health behaviors, including regular physical activity and healthy food choices, are important components in the management of diabetes. We estimated the cross-sectional association between physical activity and healthy food scores, separately, and combined (PAHF) with hemoglobin A1c (HbA1c) over three years of the Special Diabetes Program for Indians-Healthy Heart demonstration project (SDPI-HH) intervention. The relationship between physical activity and food choices was also examined. Among 3,039 SDPI-HH participants at baseline, those reporting being physically active and having high healthy food scores had statistically significant lower HbA1c (mean = 7.67 ± 2.01) compared to inactive participants with low healthy food scores (7.90 ± 1.92). Among the 1,150 SDPI-HH participants who attended the three-year follow-up visit, participants who increased physical activity, consumption of healthy foods, or both had a larger decrease in HbA1c (β = -0.29, P = 0.03) over the study period compared to participants with no improvement in physical activity or increase in consuming healthy foods. This association was statistically significant among women (β = -0.35, P = 0.04) but not among men (β = -0.08, P = 0.70). Our findings indicated that an increase in healthier behaviors, including physical activity and healthy food choices, was associated with a small improvement in HbA1c in the subset of women who participated in the SDPI-HH through the three-year follow up. Although the decrease in HbA1c was small, physical activity and healthy food choices are important behaviors to incorporate into everyday life among AI/AN adults, particularly those with diabetes.

BMI and related risk factors among U.S. Marshallese with diabetes and their families

Objective: Examine cross-sectional associations between body mass index (BMI) and related health behaviors, barriers and facilitators to health care, and perceived health status among a sample of U.S. Marshallese adults with Type 2 diabetes and evaluate associations of interest between participants and their family members.Design: Cross-sectional baseline data were analyzed from participants in a diabetes self-management education intervention trial.Setting: Data collection took place in home or community settings through a community-academic partnership in Arkansas.Participants: Study participants consisted of U.S. Marshallese adults with Type 2 diabetes (N = 221) and their family members (N = 211) recruited through community settings.Intervention(s): N/A.Main Outcome Measure(s): Participants' height and weight were measured using standard protocols to calculate BMI (kg/m2). Diet, physical activity, health care access, financial strain related to health care, perceived health status, and health care satisfaction were measured using self-report surveys.Results: Participants' mean BMI was 31.0 (95% CI: 30.2-31.7), with over half of study participants and their family members' BMI falling in the obese category. Participants' BMI was positively associated with spreading health care bill payments over time (β = 1.75 (SE = 0.87); p = 0.045). Positive associations between participants and their family members were observed for self-reported health status conditions, health care coverage, health care utilization, and health care satisfaction.Conclusion: Study findings highlight the high prevalence of obesity and related risk factors among U.S. Marshallese adults with Type 2 diabetes and emphasize the need for intervention strategies that build upon cultural strengths and target community, policy, systems, and environmental changes to address obesity and chronic disease in this marginalized community.

Facilitators and Barriers to Healthy Eating Among American Indian and Alaska Native Adults with Type 2 Diabetes: Stakeholder Perspectives

BACKGROUND

American Indian and Alaska Native (AI/AN) adults have a higher prevalence of type 2 diabetes (T2D) and related complications than non-AI/AN adults. As healthy eating is a cornerstone of diabetes self-management, nutrition education plays an important role in diabetes self-management education.

OBJECTIVE

To understand stakeholder perspectives on facilitators and barriers to healthy eating for AI/AN adults with T2D in order to inform the cultural adaptation of an existing diabetes nutrition education curriculum.

METHODS

Individual interviews were conducted with 9 national content experts in diabetes nutrition education (e.g. registered dietitians, diabetes educators, experts on AI/AN food insecurity) and 10 community-based key informants, including tribal health administrators, nutrition/diabetes educators, Native elders, and tribal leaders. Four focus groups were conducted with AI/AN adults with T2D (n = 29) and 4 focus groups were conducted with their family members (n = 22). Focus groups and community-based key informant interviews were conducted at 4 urban and reservation sites in the USA. Focus groups and interviews were recorded and transcribed verbatim. We employed the constant comparison method for data analysis and used Atlas.ti (Mac version 8.0) to digitalize the analytic process.

RESULTS

Three key themes emerged. First, a diabetes nutrition education program for AI/ANs should accommodate diversity across AI/AN communities. Second, it is important to build on AI/AN strengths and facilitators to healthy eating (e.g. strong community and family support systems, traditional foods, and food acquisition and preparation practices). Third, it is important to address barriers to healthy eating (e.g. food insecurity, challenges to preparation of home-cooked meals, excessive access to processed and fast food, competing priorities and stressors, loss of access to traditional foods, and traditional food-acquisition practices and preparation) and provide resources and strategies for mitigating these barriers.

CONCLUSIONS

Findings were used to inform the cultural adaptation of a nutrition education program for AI/AN adults with T2D.

Effects of a family diabetes self-management education intervention on the patients' supporters

INTRODUCTION

Diabetes self-management education (DSME) programs that engage the families of patients with diabetes have shown to be effective in improving diabetes-related outcomes of the patients. The health effects of these "family models" of DSME on participating family members are rarely studied. Opportunity exists for the participating family members to benefit from the healthy lifestyle recommendations offered through such programs.

METHOD

Using data from a randomized controlled trial to assess the effect of family DSME compared to standard DSME among Marshallese adults with Type 2 diabetes, this study examined baseline to 12-month changes in A1c, body mass index (BMI), food consumption, and physical activity among participating family members, comparing outcomes of family members based on attended at least 1 (n = 98) versus attended no (n = 44) DSME sessions.

RESULTS

Overall, family member attendance was low. There were no differences in the level of change from baseline to 12 months for A1c, BMI, food consumption, and physical activity between groups. After controlling for attendance and sociodemographic measures, lowering of BMI was the only significant predictor of not having an A1c level indicative of diabetes at 12 months.

DISCUSSION

Future research on family DSME should consider ways to improve family member attendance; have them set their own health improvement goals; and integrate healthy lifestyle education, such as healthy eating and being physically active, along with the DSME core content to create an added benefit of diabetes prevention for participating family members. The limitations of this study and recommendations for future research are provided. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Does a rise in BMI cause an increased risk of diabetes?: Evidence from India

BACKGROUND

Overnutrition increases the risk of diabetes. Evidence on the causal impact of overnutrition on diabetes is scarce for India. Considering a representative sample from India, this study examines the causal effect of a rise in the Body Mass Index (BMI) of an individual on the likelihood of being diabetic while addressing the issue of unobserved endogeneity between overnutrition and diabetes.

METHODS

The study considers individual level data from Demographic and Health Surveys (DHS) of India, namely, National Family Health Survey (NFHS) for the year 2015-16. The NFHS is a large-scale, multi-round survey conducted in a representative sample of households throughout India. The survey covers females having age 15-49 years and males having age 15-54 years. The instrument variable approach is used to address the potential endogeneity in the relationship between BMI and diabetes. We instrument BMI of an individual by BMI of a non-biologically related household member. Ordered Probit, Probit and IV-Probit models are estimated using two alternative definitions for measuring diabetes-self-reported diabetes status and blood glucose levels (ordinal measure).

RESULTS

The coefficients obtained from the Ordered Probit and Probit models are much smaller than those estimated by an IV-Probit model. The latter estimates the causal impact of a rise in BMI on diabetes by taking into account the effect of the unobserved genetic and other related factors. The likelihood of being diabetic is twice or more among the overweight and obese individuals as compared to non-overweight individuals in all the specifications. With a unit increase in BMI the probability of being diabetic increases by about 1.5% among overweight and obese individuals and by 0.5% among the non-overweight individuals in the IV-Probit model. Similar results from the Ordered Probit model show that on average, the overweight and obese individuals experience about 0.2% increase in the probability of being diabetic and about 0.4% increase in the probability of being prediabetic.

CONCLUSION

Our study demonstrates that the likelihood of being both prediabetic and diabetic is higher among the overweight and obese individuals as compared to the non-overweight individuals. We also find that the level of risk of being prediabetic or diabetic differs across gender, wealth quintiles and regions and the effects are more severe among population in the urban areas, belonging to the richest wealth quintile and men. Our findings have significant implications for the policy formulation as diabetes has a substantial health and economic burden associated with it. Future studies may investigate the effect of abdominal obesity on diabetes.

Comparing enhanced versus standard Diabetes Prevention Program among indigenous adults in an urban setting: a randomized controlled trial

Background

Indigenous people in the United States are at high risk for diabetes. Psychosocial stressors like historical trauma may impede success in diabetes prevention programs.

Methods

A comparative effectiveness trial compared a culturally tailored diabetes prevention program (standard group) with an enhanced one that addressed psychosocial stressors (enhanced group) in 2015 to 2017. Participants were 207 Indigenous adults with a body mass index (BMI) of ≥30 and one additional criterion of metabolic syndrome, and were randomized to the standard or enhanced group. Both groups received a culturally tailored behavioral diabetes prevention program. Strategies to address psychosocial stressors were provided to the enhanced group only. Change in BMI over 12 months was the primary outcome. Secondary outcomes included change in quality of life, and clinical, behavioral, and psychosocial measures at 6 and 12 months.

Results

The two groups did not significantly differ in BMI change at 12 months. The two groups also did not differ in any secondary outcomes at 6 or 12 months, with the exception of unhealthy food consumption; the standard group reported a larger mean decrease (95% CI) in consumption of unhealthy food compared with the enhanced group (− 4.6 [− 6.8, − 2.5] vs. -0.7 [− 2.9, 1.4], p = 0.01). At 6 months, significant improvements in weight and the physical component of the quality of life measure were observed for both groups compared with their baseline level. Compared with baseline, at 12 months, the standard group showed significant improvement in BMI (mean [95% CI], − 0.5 [− 1.0, − 0.1]) and the enhanced group showed significant improvement in the physical component of the quality of life (2.9 [0.7, 5.2]).

Conclusions

Adding strategies to address psychosocial barriers to a culturally tailored diabetes prevention program was not successful for improving weight loss among urban Indigenous adults.

Trial Registration

(if applicable): NCT02266576. Registered October 17, 2014 on clinicaltrials.gov. The trial was prospectively registered.

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.

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.

Dietary Beliefs and Management of Older American Indians With Type 2 Diabetes

OBJECTIVES

This qualitative study examined dietary-related beliefs and self-management among older American Indians with type 2 diabetes mellitus (T2DM).

DESIGN

Semistructured in-person interviews were conducted and digitally recorded.

SETTING

Southeastern American Indian tribal community.

PARTICIPANTS

A total of 28 noninstitutionalized older tribal members aged >60 years.

PHENOMENON OF INTEREST

Study participants' beliefs and experiences with dietary practices and management related to T2DM.

ANALYSIS

Transcribed qualitative interviews were coded using an inductive content analysis approach.

RESULTS

Four themes regarding T2DM dietary beliefs and T2DM dietary management emerged from the analyses: diet changes, portion control, health care professional and family influence, and barriers to healthy eating. Study participants described how their beliefs, practices, and experiences in these 4 areas related to T2DM.

CONCLUSIONS AND IMPLICATIONS

American Indian older adults face a variety of challenges to dietary management of T2DM. Future research efforts can focus on assessing how social support can be leveraged to facilitate healthy diets for American Indians with T2DM. Clinicians and diabetes educators and Native communities have an instrumental role in identifying culturally appropriate messages and programs to help persons effectively manage T2DM.

Diet Quality of Pregnant American Indian Women in the Northern Plains

INTRODUCTION

We examined diet quality and intake of pregnancy-specific micronutrients among pregnant American Indian women in the Northern Plains.

METHODS

We conducted an analysis of nutrition data from the Prenatal Alcohol and SIDS and Stillbirth (PASS) Network Safe Passage Study and the PASS Diet Screener study (N = 170). Diet intake, including dietary supplementation, was assessed by using three 24-hour recalls conducted on randomly selected, nonconsecutive days. Diet intake data were averaged across the participant's recalls and scored for 2 dietary indices: the Healthy Eating Index 2010 (HEI-2010) and the Alternate Healthy Eating Index for Pregnancy (AHEI-P). We also assessed nutrient adequacy with Dietary Reference Intakes for pregnancy.

RESULTS

On average, participants were aged 26.9 (standard deviation [SD], 5.5) years with a pre-pregnancy body mass index of 29.8 (SD, 7.5) kg/m2. Mean AHEI-P and HEI-2010 scores (52.0 [SD, 9.0] and 49.2 [SD, 11.1], respectively) indicated inadequate adherence to dietary recommendations. Micronutrient intake for vitamins D and K, choline, calcium, and potassium were lower than recommended, and sodium intake was higher than recommended.

CONCLUSION

Our findings that pregnant American Indian women are not adhering to dietary recommendations is consistent with studies in other US populations. Identifying opportunities to partner with American Indian communities is necessary to ensure effective and sustainable interventions to promote access to and consumption of foods and beverages that support the adherence to recommended dietary guidelines during pregnancy.

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: β=0·078, P=0·0007; males: β=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.

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.

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.

Diabetes and Associated Cardiovascular Complications in American Indians/Alaskan Natives: A Review of Risks and Prevention Strategies

Diabetes mellitus (DM) is the seventh leading cause of death in the United States and the leading cause of death in the U.S. American Indian/Alaskan Natives (AI/ANs), who comprise only 2% of the total population. The AI/AN population has a high prevalence of DM in adults aged 20 years or older and is developing DM at a younger age than the general U.S.

POPULATION

DM is a major risk factor for cardiovascular disease (CVD), and mortality from CVD is higher in AI/ANs than the general population, as is the prevalence of stroke and 1-year poststroke mortality for both genders when compared to non-Hispanic whites. A genome-wide scan found a number of chromosome linkages in the AI/AN population that suggest that genetic factors may contribute to their high risk of DM and CVD. Importantly, studies also suggest that in addition to race/ethnicity, cultural norms and historic conditions play important roles in the prevalence of DM and CVD in this population. Therefore, multiple factors should be taken into consideration when establishing prevention programs to decrease the prevalence of obesity, diabetes, and CVD incidence among adults and children in the AI/AN population. Prevention programs should focus on behavioral risk factors and lifestyle changes like encouraging smoking cessation, healthy diet, and increased physical activity while taking into consideration cultural, economic, and geographic factors.

Design of a randomized, controlled, comparative-effectiveness trial testing a Family Model of Diabetes Self-Management Education (DSME) vs. Standard DSME for Marshallese in the United States

BACKGROUND

Type 2 diabetes (T2D) is a significant public health problem, with U.S. Pacific Islander communities-such as the Marshallese-bearing a disproportionate burden. Using a community-based participatory approach (CBPR) that engages the strong family-based social infrastructure characteristic of Marshallese communities is a promising way to manage T2D.

OBJECTIVES

Led by a collaborative community-academic partnership, the Family Model of Diabetes Self-Management Education (DSME) aimed to change diabetes management behaviors to improve glycemic control in Marshallese adults with T2D by engaging the entire family.

DESIGN

To test the Family Model of DSME, a randomized, controlled, comparative effectiveness trial with 240 primary participants was implemented. Half of the primary participants were randomly assigned to the Standard DSME and half were randomly assigned to the Family Model DSME. Both arms received ten hours of content comprised of 6-8 sessions delivered over a 6-8 week period.

METHODS

The Family Model DSME was a cultural adaptation of DSME, whereby the intervention focused on engaging family support for the primary participant with T2D. The Standard DSME was delivered to the primary participant in a community-based group format. Primary participants and participating family members were assessed at baseline and immediate post-intervention, and will also be assessed at 6 and 12 months.

SUMMARY

The Family Model of DSME aimed to improve glycemic control in Marshallese with T2D. The utilization of a CBPR approach that involves the local stakeholders and the engagement of the family-based social infrastructure of Marshallese communities increase potential for the intervention's success and sustainability.

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.

Cross-sectional analysis of food choice frequency, sleep confounding beverages, and psychological distress predictors of sleep quality

BACKGROUND

Poor sleep quality is a significant public health problem. The role of nutrition in predicting sleep quality is a relatively unexplored area of inquiry. The purpose of this study was to evaluate the capacity of 10 food choice categories, sleep confounding beverages, and psychological distress to predict the sleep quality of college students.

METHODS

A logistic regression model comprising 10 food choice variables (healthy proteins, unhealthy proteins, healthy dairy, unhealthy dairy, healthy grains, unhealthy grains, healthy fruits and vegetables, unhealthy empty calories, healthy beverages, unhealthy beverages), sleep confounding beverages (caffeinated/alcoholic beverages), as well as psychological distress (low, moderate, serious distress) was computed to determine the capacity of the variables to predict sleep quality (good/poor).

RESULTS

The odds of poor sleep quality were 32.4% lower for each unit of increased frequency of healthy proteins consumed (p<0.001; OR=0.676), 14.1% lower for each unit of increased frequency of healthy dairy food choices consumed (p=0.024; OR=0.859), 13.1% higher for each unit of increased frequency of empty calorie food choices consumed (p=0.003; OR=1.131), and 107.3% higher for those classified in the moderate psychological distress (p=0.016; OR=2.073).

CONCLUSION

Collectively, healthy proteins, healthy dairy, unhealthy empty calories, and moderate psychological distress were moderately predictive of sleep quality in the sample (Nagelkerke R2=23.8%). Results of the study suggested higher frequency of consumption of healthy protein and healthy dairy food choices reduced the odds of poor sleep quality, while higher consumption of empty calories and moderate psychological distress increased the odds of poor sleep quality.

Changes in Food Choices of Participants in the Special Diabetes Program for Indians-Diabetes Prevention Demonstration Project, 2006-2010

Introduction

American Indians/Alaska Natives (AI/ANs) have a disproportionately high rate of type 2 diabetes. Changing food choices plays a key role in preventing diabetes. This study documented changes in the food choices of AI/ANs with diagnosed prediabetes who participated in a diabetes prevention program.

Methods

The Special Diabetes Program for Indians–Diabetes Prevention Demonstration Project implemented the evidence-based Diabetes Prevention Program (DPP) lifestyle intervention in 36 health care programs nationwide, engaging 80 AI/AN communities. At baseline, at 30 days post-curriculum, and at the first annual assessment, participants completed a sociodemographic survey and 27-item food frequency questionnaire and underwent a medical examination assessing fasting blood glucose (FBG), blood pressure, body mass index (BMI), low-density lipoprotein [LDL], high-density lipoprotein [HDL], and triglycerides. Multiple linear regressions were used to assess the relationship between temporal changes in food choice and other diabetes risk factors.

Results

From January 2006 to July 2010, baseline, post-curriculum, and first annual assessments were completed by 3,135 (100%), 2,046 (65%), and 1,480 (47%) participants, respectively. An increase in healthy food choices was associated initially with reduced bodyweight, BMI, FBG, and LDL and increased physical activity. At first annual assessment, the associations persisted between healthy food choices and bodyweight, BMI, and physical activity.

Conclusion

AI/AN adults from various tribal and urban communities participating in this preventive intervention made sustained changes in food choices and had reductions in diabetes risk factors. The outcomes demonstrate the feasibility and effectiveness of translating the DPP lifestyle intervention to community-based settings.

Socioeconomic Disparities in Weight and Behavioral Outcomes Among American Indian and Alaska Native Participants of a Translational Lifestyle Intervention Project

OBJECTIVE

To investigate possible socioeconomic disparities in weight and behavioral outcomes among American Indian and Alaska Native (AI/AN) participants in a translational diabetes prevention project.

RESEARCH DESIGN AND METHODS

We analyzed data from the Special Diabetes Program for Indians Diabetes Prevention (SDPI-DP) Program, an evidence-based lifestyle intervention to prevent diabetes in 36 AI/AN grantee sites. A total of 2,553 participants started the 16-session Lifestyle Balance Curriculum between 1 January 2006 and 31 July 2008. Linear mixed models were used to evaluate the relationships of participant and staff socioeconomic characteristics with weight and behavioral outcomes at the end of the curriculum.

RESULTS

A strong, graded association existed between lower household income and less BMI reduction, which remained significant after adjusting for other socioeconomic characteristics. Compared with others, participants with annual income <$15,000 also had less improvement in physical activity and unhealthy food consumption in bivariate models, but the relationships were only marginally significant in multivariate regressions. Furthermore, grantee sites with fewer professionally prepared staff were less successful at improving participant BMI and healthy food consumption than the other sites. The strong association between income and BMI reduction was reduced by 20-30% in the models with changes in diet variables but was unrelated to changes in physical activity.

CONCLUSIONS

Significant socioeconomic disparities exist in weight outcomes of lifestyle intervention at both participant and site staff levels. Helping low-income participants choose more affordable healthy foods and increasing the proportion of professionally trained staff might be practical ways to maximize the effectiveness of lifestyle interventions implemented in "real-world" settings.