Adapting a cooking, food budgeting and nutrition intervention for a rural community of American Indians with type 2 diabetes in the North-Central United States.

American Indian (AI) communities experience persistent diabetes-related disparities, yet few nutrition interventions are designed for AI with type 2 diabetes or address socio-contextual barriers to healthy eating. We describe our process of adapting the evidence-based Cooking Matters® program for use by AI adults with type 2 diabetes in a rural and resource-limited setting in the North-Central United States. We conducted three focus groups with AI adults with diabetes to (i) identify Cooking Matters® adaptations and (ii) gather feedback on appropriateness of the adapted intervention using Barrera and Castro's cultural adaptation framework. Transcripts were coded using an inductive, constant comparison approach. Queries of codes were reviewed to identify themes. Contextual considerations included limited access to grocery stores and transportation barriers, reliance on government food assistance and the intergenerational burden of diabetes. Adaptations to content and delivery included incorporating traditional and locally available foods; appealing to children or others in multigenerational households and prioritizing visual over written content. Our use of Barrera and Castro's framework adds rigor and structure to the cultural adaptation process and increases the likelihood of future intervention success. Other researchers may benefit from using this framework to guide the adaptation of evidence-based interventions in AI communities.

Cooking for Health: a healthy food budgeting, purchasing, and cooking skills randomized controlled trial to improve diet among American Indians with type 2 diabetes.

BACKGROUND: The prevalence of poor diet quality and type 2 diabetes are exceedingly high in many rural American Indian (AI) communities. Because of limited resources and infrastructure in some communities, implementation of interventions to promote a healthy diet is challenging-which may exacerbate health disparities by region (urban/rural) and ethnicity (AIs/other populations). It is critical to adapt existing evidence-based healthy food budgeting, purchasing, and cooking programs to be relevant to underserved populations with a high burden of diabetes and related complications. The Cooking for Health Study will work in partnership with an AI community in South Dakota to develop a culturally-adapted 12-month distance-learning-based healthy food budgeting, purchasing, and cooking intervention to improve diet among AI adults with type 2 diabetes. METHODS: The study will enroll 165 AIs with physician-diagnosed type 2 diabetes who reside on the reservation. Participants will be randomized to an intervention or control arm. The intervention arm will receive a 12-month distance-learning curriculum adapted from Cooking Matters® that focuses on healthy food budgeting, purchasing, and cooking skills. In-person assessments at baseline, month 6 and month 12 will include completion of the Nutrition Assessment Shared Resources Food Frequency Questionnaire and a survey to assess frequency of healthy and unhealthy food purchases. Primary outcomes of interest are: (1) change in self-reported intake of sugar-sweetened beverages (SSBs); and (2) change in the frequency of healthy and unhealthy food purchases. Secondary outcomes include: (1) change in self-reported food budgeting skills; (2) change in self-reported cooking skills; and (3) a mixed-methods process evaluation to assess intervention reach, fidelity, satisfaction, and dose delivered/received. DISCUSSION: Targeted and sustainable interventions are needed to promote optimal health in rural AI communities. If effective, this intervention will reduce intake of SSBs and the purchase of unhealthy foods; increase the purchase of healthy foods; and improve healthy food budgeting and cooking skills among AIs with type 2 diabetes - a population at high risk of poor health outcomes. This work will help inform future health promotion efforts in resource-limited settings. TRIAL REGISTRATION: This study was registered on ClinicalTrials.gov on October 9, 2018 with Identifier NCT03699709 .

Arsenic in groundwater in private wells in rural North Dakota and South Dakota: Water quality assessment for an intervention trial.

Elevated exposure to arsenic disproportionately affects populations relying on private well water in the United States (US). This includes many American Indian (AI) communities where naturally occurring arsenic is often above 10 µg/L, the current US Environmental Protection Agency safety standard. The Strong Heart Water Study is a randomized controlled trial aiming to reduce arsenic exposure to private well water users in AI communities in North Dakota and South Dakota. In preparation for this intervention, 371 households were included in a community water arsenic testing program to identify households with arsenic ≥10 µg/L by inductively coupled plasma mass spectrometry (ICP-MS). Arsenic ≥10 µg/L was found in 97/371 (26.1%) households; median water arsenic concentration was 6.3 µg/L, ranging from <1-198 µg/L. Silica was identified as a water quality parameter that could impact the efficacy of arsenic removal devices to be installed. A low-range field rapid arsenic testing kit evaluated in a small number of households was found to have low accuracy; therefore, not an option for the screening of affected households in this setting. In a pilot study of the effectiveness of a point-of-use adsorptive media water filtration device for arsenic removal, all devices installed removed arsenic below 1 µg/L at both installation and 9 months post-installation. This study identified a relatively high burden of arsenic in AI study communities as well as an effective water filtration device to reduce arsenic in these communities. The long-term efficacy of a community based arsenic mitigation program in reducing arsenic exposure and preventing arsenic related disease is being tested as part of the Strong Heart Water Study.

Availability and Cost of Healthy Foods in a Large American Indian Community in the North-Central United States.

To understand the local food environment in a rural American Indian community, we assessed the availability and price of healthy foods offered at all stores (n = 27) within a 90-mile radius of the town center of a large American Indian reservation. Stores were classified by type, and availability and cost of foods were measured using the Nutrition Environment Measures Survey in Stores (January-February 2016). Healthy foods were available at most grocery stores (>97%), although the price of foods varied considerably among stores. Having quantified the availability and cost of food, efforts must focus on understanding other structural and contextual factors that influence diet in this community.

Developing a research agenda for cardiovascular disease prevention in high-risk rural communities.

The National Institutes of Health convened a workshop to engage researchers and practitioners in dialogue on research issues viewed as either unique or of particular relevance to rural areas, key content areas needed to inform policy and practice in rural settings, and ways rural contexts may influence study design, implementation, assessment of outcomes, and dissemination. Our purpose was to develop a research agenda to address the disproportionate burden of cardiovascular disease (CVD) and related risk factors among populations living in rural areas. Complementary presentations used theoretical and methodological principles to describe research and practice examples from rural settings. Participants created a comprehensive CVD research agenda that identified themes and challenges, and provided 21 recommendations to guide research, practice, and programs in rural areas.

Prevalence of diabetes and impaired fasting glucose in Chinese adults, China National Nutrition and Health Survey, 2002.

INTRODUCTION: As a result of rapid economic development in China, the lifestyles and dietary habits of its people have been changing, and the rates of obesity, diabetes, and other chronic conditions have increased substantially. We report the prevalence of type 2 diabetes and impaired fasting glucose (IFG) and the association between diabetes and overweight and obesity in Chinese adults. We also compare the results with those from the US National Health and Nutrition Examination Survey, 1999-2002. METHODS: Data were from adults aged 20 years or older who participated in the China National Nutrition and Health Survey, 2002 (n = 47,729). Diabetes and IFG were defined by the American Diabetes Association 2009 criteria. We assessed the prevalence of diabetes, IFG, and overweight and obesity by sex, age, region of residence, and ethnicity. RESULTS: The prevalence of diabetes and IFG in Chinese adults was 2.7% and 4.9%, respectively. The prevalence of diabetes increased with age and body mass index. Men and women had a similar prevalence of diabetes, but men had a significantly higher prevalence of IFG. The prevalence of diabetes among Chinese who lived in urban areas was 2 to 3 times higher than the prevalence among those who lived in rural areas (3.9% for urban areas and 6.1% for large cities vs 1.9% for rural areas), and the prevalence of IFG was 1.5 to 2 times higher (6.1% and 8.1% vs 4.2%, respectively). The prevalence of diabetes among Chinese women and young (20-39 y) and middle-aged (40-59 y) adults who lived in large cities was similar to the prevalence of diabetes in the US population. CONCLUSION: The prevalence of diabetes and IFG was much higher in urban than rural areas, particularly in the large cities of China. Prevention must be emphasized among adults to reduce the future social and economic burden of diabetes in China.

Social- and behavioral-specific genetic effects on blood pressure traits: the Strong Heart Family Study.

BACKGROUND: Population studies have demonstrated an important role of social, behavioral, and environmental factors in blood pressure (BP) levels. Accounting for the genetic interaction of these factors may help to identify common BP susceptibility alleles. METHODS AND RESULTS: We studied the interaction of additive genetic effects and behavioral (physical activity, smoking, alcohol use) and socioeconomic (education) factors on BP in approximately 3600 American Indian participants of the Strong Heart Family Study, using variance component models. The mean and SD of resting systolic and diastolic BPs were 123 + or - 17 and 76 + or - 11 mm Hg, respectively. We detected evidence for distinct genetic effects on diastolic BP among ever smokers compared with never smokers (P = 0.01). For alcohol intake, we observed significant genotype-by-environment interactions on diastolic (rhog = 0.10, P = 0.0003) and on systolic BPs (rhog = 0.59, P = 0.0008) among current drinkers compared with former or never drinkers. We also detected genotype-by-physical activity interactions on diastolic BP (rhog = 0.35, P = 0.0004). Finally, there was evidence for distinct genetic effects on diastolic BP among individuals with less than high school education compared with those with 12 or more years of education (rhog = 0.41, P = 0.02). CONCLUSIONS: Our findings suggest that behavioral and socioeconomic factors can modify the genetic effects on BP phenotypes. Accounting for context dependent factors may help us to better understand the complexities of the gene effects on BP and other complex phenotypes with high levels of genetic heterogeneity.

Multidimensional health locus of control in American Indians: the strong heart study.

OBJECTIVE: Observe and record the demographic and anthropomorphic correlates of health beliefs in American Indians using the multidimensional health locus of control (MHLC) scale. DESIGN: Self-administration or interview rating of Form B of the MHLC scale. SETTING: Arizona, Oklahoma, and Dakota branches of The Strong Heart Study PARTICIPANTS: 3665 participants (1468 men and 2197 women) aged 15 to 93 years (average 39.9) of Phase IV of The Strong Heart Study. MAIN OUTCOME MEASURES: MHLC subscale scores, demographics, anthropometrics DEMOGRAPHICS: Women had higher Chance health locus of control (HLC) than men, but otherwise similar MHLC scores. Age positively correlated with lower Internal HLC and higher Powerful Others HLC. Education was associated with lower Chance HLC. MHLC scores differed by center (AZ, OK, and SD). Anthropometrics: Men with high body fat or high waist-to-hip ratio had higher Powerful Others HLC. Waist-to-hip ratio in women positively correlated to Powerful Others HLC and Chance HLC. BMI was not a strong indicator of differences in MHLC. CONCLUSIONS: To our knowledge, this is the first study to examine health locus of control in American Indians. The health beliefs of American Indians in this study were similar to previous demographic studies in other populations. The associations between certain health beliefs and obesity deserve further exploration to gauge prospective risk. Clinicians should continue to identify psychological issues and counsel American Indian patients in culturally sensitive ways for improved preventive care delivery and increased efficacy of health education.

Prognostic implications of relations of left ventricular systolic dysfunction with body composition and myocardial energy expenditure: the Strong Heart Study.

OBJECTIVE: We sought to investigate prognostic implications of the relationships of estimated left ventricular (LV) myocardial energy expenditure (MEE) with LV systolic dysfunction, body composition, and inflammation in a population-based sample of adults without overt congestive heart failure. METHODS: Echocardiography was used to assess LV ejection fraction (EF) and MEE. Body composition was evaluated by bioelectric impedance. Dietary recall was used to assess 24-hour calorie intake. Participants in the Strong Heart Study without prior congestive heart failure and with all needed data available (n = 3087) were divided based on LV EF (>55%, 54%-45%, or <45%). RESULTS: Participants with EF less than 45% were older and they had lower body mass index, adipose mass, fat-free mass, and 24-hour calorie intake than participants with normal EF (>/=55%), and had greatest reductions of body mass index and physical activity in a time interval of 3.5 years, on average, elapsed between an initial clinical assessment and the evaluation at the time of the echocardiographic examination (P < .01). Lower EF was associated with male sex, hypertension, diabetes, coronary heart disease, and higher fibrinogen, C-reactive protein, and plasma creatinine levels (all P < .01). MEE was higher with lower EF (all P < .001). In Cox regression models, during approximately 8 years of observation, MEE comprised between 97 and 123 cal/min and MEE greater than 123 cal/min were associated with 2.5-fold and additional 3.3-fold higher rates of cardiac death, respectively, compared with MEE less than 97 cal/min, independently of EF, body composition, and other covariates. However, lower adipose mass predicted increased risk of cardiac death independent of MEE and EF. CONCLUSION: In a population-based sample of adults including ambulatory individuals with depressed LV systolic function but without overt congestive heart failure, depressed EF was associated independently with higher MEE, lower adipose mass, and higher fibrinogen. However, increased MEE and lower adipose mass predicted cardiac death independently of EF and other covariates.

Usefulness of quantitative assessment of electrocardiographic ST depression for predicting new-onset heart failure in American Indians (from the Strong Heart Study).

The qualitative electrocardiographic strain pattern of ST depression (STD) and T-wave inversion is strongly associated with coronary heart disease and left ventricular hypertrophy and is an independent predictor of new-onset heart failure in hypertensive participants. However, whether quantitative measures of STD in the lateral precordial leads predict new heart failure is unclear. Digital electrocardiograms were examined in 2,059 American-Indian participants in the second Strong Heart Study examination with no history of heart failure. The absolute magnitude of ST segment deviation was measured using computer to the nearest 5 microV in leads V(5) and V(6). During 5.7 +/-1.4 years of follow-up, heart failure developed in 77 participants (3.7%). Participants who developed heart failure had greater STD in leads V(5) or V(6) (-11 +/- 35 vs 12 +/- 27 microV; p <0.001) than those who did not. In univariate Cox analyses, STD was a significant predictor of new heart failure, with each 10-microV greater STD associated with a 31% greater risk of heart failure (hazard ratio [HR] 1.31, 95% confidence interval [CI] 1.24 to 1.39). Increasing STD grouped according to quartiles was strongly associated with the development of heart failure, with stepwise increasing risk of heart failure compared with the lowest quartile of STD for the second (HR 2.39, 95% CI 0.77 to 7.40), third (HR 3.01, 95% CI 1.00 to 9.08), and fourth quartiles of STD (HR 9.06, 95% CI 3.26 to 25.16). In Cox multivariate analyses controlling for age, gender, diabetes, coronary heart disease, albuminuria, and other baseline risk factors, STD remained a significant predictor of incident heart failure (HR 1.22, 95% CI 1.13 to 1.32 per 10-muV increment in STD; p <0.001). In conclusion, increasing STD in lateral precordial leads is strongly associated with increased risk of developing heart failure independent of other risk factors for new heart failure.

Aviation model cognitive risk factors applied to medical malpractice cases.

OBJECTIVE: Aviation accidents have been reduced substantially by training pilots to avoid high-risk behaviors caused by cognitive errors. To determine whether similar cognitive cause factors or errors are involved in medical malpractice cases, and to evaluate the reliability of identifying such factors, physicians reviewed state and federal malpractice cases in a legal database. METHOD: Reviewing physicians evaluated 30 cases meeting inclusion criteria from state and federal malpractice cases for the year 2004 in the 8th US Circuit Court of Appeals region, using criteria for cognitive factors derived from aviation. The cases were categorized into three classes based on the degree of agreement between the reviewers. The results as to prevalence of the factors and reliability of identifying the factors were then analyzed statistically. RESULTS: Fifty-nine percent of the cases met criteria for strong and good correlation with the factors. Cognitive factors involving IMSAFE (illness, medications, stress, alcohol, physiogical (f), and emotional) and medical team management/leadership can be reliably identified. Other factors, such as hazardous attitudes and loss of situational awareness, were identified with minimal reliability. CONCLUSION: The aeronautical cognitive causative approach can be translated into a medical approach to reliably identify cognitive causes of errors in a significant proportion of medical malpractice cases from a legal database.