The Next Generation of Diabetes Translation: A Path to Health Equity

Care of Diabetes and the Sacrifice of Evidence-Based Medicine and Health Equity

The American Diabetes Association and the European Association for the Study of Diabetes published a 2022 consensus report recommending changes in diabetes care. This Perspective raises three concerns: with how the report summarizes evidence, how it frames the social determinants of health (SDOH), and with its transnational composition and conflicts of interest. The Perspective analyzes three new clinical recommendations that change the role of metformin from first-line therapy to a first-line option, for the inclusion of weight management as a co-primary treatment goal with glycemic control for patients without cardiac or renal complications, and for addition of the SDOH as a universal component of diabetes care together with lifestyle changes and self-management support. The Perspective considers how the poor evidence assessments of the recommendations and the imprecise framing of the SDOH introduce bias. The composition of the panel's membership poorly represents and accounts for the challenges faced by vulnerable US communities or safety net providers. The report is placed in a historical context for diabetes of organized medicine's failures to overcome prejudices and promote health equity. The Perspective concludes that the report perpetuates a pattern of prejudice within organized medicine at the expense of scientific precision and health equity.

Diabetes Disparities in the United States: Trends by Educational Attainment from 2001 to 2020

INTRODUCTION

Tracking changes in socioeconomic disparities in diabetes in the U.S. is important to evaluate progress in health equity and guide prevention efforts. Disparities in diabetes prevalence by educational attainment from 2001 to 2020 were investigated.

METHODS

Using a serial cross-sectional design, data from 33,220 adults aged 30-79 assessed in nine rounds of the National Health and Nutrition Examination Surveys between 2001 and 2020 were analyzed in 2023-2024. Diabetes was defined as self-reported prior diagnosis, elevated glycated hemoglobin (HbA1c≥6.5%), or use of diabetes medications. Marginalized age- and covariate-adjusted prevalence differences (PD) and prevalence ratios (PR) of diabetes by educational attainment (less than high school graduation, high school graduation, some college education or associate degree, or college graduation [reference]) by calendar period (2001-2004, 2005-2008, 2009-2012, 2013-2016, 2017-2020) were derived from logistic regression models.

RESULTS

From 2001 to 2020, age-adjusted diabetes prevalence was consistently higher among adults without a college degree. Adults without a high school diploma exhibited the largest disparities in both 2001-2004 (PD 8.0%; 95%CI 5.6-10.5 and PR 2.1; 95%CI 1.5-2.6) and 2017-20 (PD 11.0%; 95%CI 6.7-15.2 and PR 2.1; 95%CI 1.5-2.7). Between 2001-2004 and 2017-2020, the absolute disparity in diabetes changed only among adults with a high school diploma (increase from PD 1.7%; 95%CI -0.5- 3.9 to PD 8.8% 95%CI 4.1-13.4, respectively), while the PR did not change in any group. Education-related disparities in diabetes were attenuated after accounting for socio-demographic factors and BMI.

CONCLUSIONS

From 2001 to 2020, national education-related disparities in diabetes prevalence have shown no signs of narrowing.

Effectiveness of Multilevel and Multidomain Interventions to Improve Glycemic Control in U.S. Racial and Ethnic Minority Populations: A Systematic Review and Meta-analysis

BACKGROUND

Racial and ethnic disparities in type 2 diabetes outcomes are a major public health concern. Interventions targeting multiple barriers may help address disparities.

PURPOSE

To conduct a systematic review and meta-analysis of diabetes self-management education (DSME) interventions in minority populations. We hypothesized that interventions addressing multiple levels (individual, interpersonal, community, and societal) and/or domains (biological, behavioral, physical/built environment, sociocultural environment, and health care system) would have the greatest effect on hyperglycemia.

DATA SOURCES

We performed an electronic search of research databases PubMed, Scopus, CINAHL, and PsycINFO (1985-2019).

STUDY SELECTION

We included randomized controlled trials of DSME interventions among U.S. adults with type 2 diabetes from racial and ethnic minority populations.

DATA EXTRACTION

We extracted study parameters on DSME interventions and changes in percent hemoglobin A1c (HbA1c).

DATA SYNTHESIS

A total of 106 randomized controlled trials were included. Twenty-five percent (n = 27) of interventions were exclusively individual-behavioral, 51% (n = 54) were multilevel, 66% (n = 70) were multidomain, and 42% (n = 45) were both multilevel and multidomain. Individual-behavioral interventions reduced HbA1c by -0.34 percentage points (95% CI -0.46, -0.22; I2 = 33%) (-3.7 [-5.0, -2.4] mmol/mol). Multilevel interventions reduced HbA1c by -0.40 percentage points (95% CI -0.51, -0.29; I2 = 68%) (-4.4 [-5.6, -3.2] mmol/mol). Multidomain interventions reduced HbA1c by -0.39 percentage points (95% CI -0.49, -0.29; I2 = 68%) (-4.3 [-5.4, -3.2] mmol/mol). Interventions that were both multilevel and multidomain reduced HbA1c by -0.43 percentage points (95% CI -0.55, -0.31; I2 = 69%) (-4.7 [-6.0, -3.4] mmol/mol).

LIMITATIONS

The analyses were restricted to RCTs.

CONCLUSIONS

Multilevel and multidomain DSME interventions had a modest impact on HbA1c. Few DSME trials have targeted the community and society levels or physical environment domain. Future research is needed to evaluate the effects of these interventions on outcomes beyond HbA1c.

Association of race and ethnicity with the development of cystic fibrosis-related diabetes

BACKGROUND

CF-related diabetes (CFRD) is a common, life-expectancy limiting complication of CF. While Black race and Hispanic ethnicity in youth-onset type 1 and type 2 diabetes are well-recognized risk factors for worse diabetes complications, the potential for racial/ethnic disparities in CFRD has received limited attention.

METHODS

We conducted a retrospective cohort study utilizing the CF Foundation Patient Registry from 2010 to 2019 to determine the prevalence and incidence of CFRD by race/ethnicity. Three age cohorts were identified at baseline in 2010 (11-20y, 21-30y, and 31-40y). Logistic regression and Cox regression stratified by age group were used to determine the prevalence and incidence, respectively, among Hispanic, non-Hispanic Blacks (NHB), and non-Hispanic whites (NHW) after adjustment for relevant confounders, including demographics, socioeconomic status, clinical factors, and chronic medication use.

RESULTS

Among 14,660 registry participants, 510 were NHB and 890 Hispanic. NHB associated with higher odds of CFRD baseline prevalence in all age cohorts (11-20y: OR 2.53 (95 % CI: 1.88-3.41, P < 0.05), 21-30y: OR 1.80 (1.25-2.59, P < 0.05), and 31-40y: OR 1.93 (1.00-3.73, P < 0.05)) relative to NHW. In the 11-20y cohort, the hazard of new-onset CFRD was 40 % higher in NHB (HR 1.40 (1.09-1.8, P < 0.05)) and 19 % higher in Hispanics (HR 1.19 (1.01-1.41, P < 0.05)).

CONCLUSION

NHB had a higher prevalence of CFRD across all age groups, with NHB and Hispanics showing higher incidence of CFRD in the youngest group. Multicenter studies performed in diverse CF populations are warranted to identify modifiable factors influencing earlier CFRD development in minoritized groups and their potential contribution to diabetes complication disparities.

Challenges in Disseminating Evidence-Based Health Promotion Programs in Faith Community Settings: What We Need to Include

BACKGROUND

Effective dissemination of information about evidence-based programs (EBPs) is essential for promoting health equity. Faith-based and other community organizations have difficulty locating EBPs for implementation in their settings. A research team engaged in a systematic search to identify a menu of EBPs that could be offered to African American FBOs as part of a community-engaged implementation study. Methods. A four-stage process was developed to search for EBPs meeting seven inclusion criteria for dissemination in faith-based organizations (FBOs). Criteria included relevance to identified health disparity topics, endorsement on a federal website, free access to downloadable program materials, facilitator guidance, no requirements for health care providers, and culturally relevant materials for African American communities.

RESULTS

Nineteen government websites were searched. Sixty-six potential EBPs were identified. Six EBPs met all inclusion criteria.

DISCUSSION

The search for EBPs that met seven criteria for implementation in African American FBOs demonstrated challenges that have been described in the literature. Researchers encountered a lack of standardized terminology for identifying EBPs on federal websites, frequent requirement for health care providers or clinics and/or fees for training and materials. FBOs are supportive and safe places to offer EBPs to promote health, and EBPs need to be designed and disseminated to meet the needs and preferences of FBOs. Including members of FBOs and others in the community in EBP development, design, and dissemination, such as searchable health promotion EBP registries, can increase the likelihood that effective programs intended to address health disparities are readily accessible to FBOs for implementation.

Income variability and incident cardiovascular disease in diabetes: a population-based cohort study

BACKGROUND AND AIMS

Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D).

METHODS

Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30-64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders.

RESULTS

High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22-1.27; Ptrend < .001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35-1.41; Ptrend < .0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70-0.72; Ptrend < .0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results.

CONCLUSIONS

Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D.

Intersectoral health interventions to improve the well-being of people living with type 2 diabetes: a scoping review protocol

INTRODUCTION

Intersectoral collaboration is a collaborative approach between the health sectors and other sectors to address the interdependent nature of the social determinants of health associated with chronic diseases such as diabetes. This scoping review aims to identify intersectoral health interventions implemented in primary care and community settings to improve the well-being and health of people living with type 2 diabetes.

METHODS AND ANALYSIS

This protocol is developed by the Arksey and O'Malley (2005) framework for scoping reviews and the Levac et al methodological enhancement. MEDLINE, Embase, CINAHL, grey literature and the reference list of key studies will be searched to identify any study, published between 2000 and 2023, related to the concepts of intersectorality, diabetes and primary/community care. Two reviewers will independently screen all titles/abstracts, full-text studies and grey literature for inclusion and extract data. Eligible interventions will be classified by sector of action proposed by the Social Determinants of Health Map and the conceptual framework for people-centred and integrated health services and further sorted according to the actors involved. This work started in September 2023 and will take approximately 10 months to be completed.

ETHICS AND DISSEMINATION

This review does not require ethical approval. The results will be disseminated through a peer-reviewed publication and presentations to stakeholders.

The future burden of type 2 diabetes in Belgium: a microsimulation model

OBJECTIVE

To forecast the annual burden of type 2 diabetes and related socio-demographic disparities in Belgium until 2030.

METHODS

This study utilized a discrete-event transition microsimulation model. A synthetic population was created using 2018 national register data of the Belgian population aged 0-80 years, along with the national representative prevalence of diabetes risk factors obtained from the latest (2018) Belgian Health Interview and Examination Surveys using Multiple Imputation by Chained Equations (MICE) as inputs to the Simulation of Synthetic Complex Data (simPop) model. Mortality information was obtained from the Belgian vital statistics and used to calculate annual death probabilities. From 2018 to 2030, synthetic individuals transitioned annually from health to death, with or without developing type 2 diabetes, as predicted by the Finnish Diabetes Risk Score, and risk factors were updated via strata-specific transition probabilities.

RESULTS

A total of 6722 [95% UI 3421, 11,583] new cases of type 2 diabetes per 100,000 inhabitants are expected between 2018 and 2030 in Belgium, representing a 32.8% and 19.3% increase in T2D prevalence rate and DALYs rate, respectively. While T2D burden remained highest for lower-education subgroups across all three Belgian regions, the highest increases in incidence and prevalence rates by 2030 are observed for women in general, and particularly among Flemish women reporting higher-education levels with a 114.5% and 44.6% increase in prevalence and DALYs rates, respectively. Existing age- and education-related inequalities will remain apparent in 2030 across all three regions.

CONCLUSIONS

The projected increase in the burden of T2D in Belgium highlights the urgent need for primary and secondary preventive strategies. While emphasis should be placed on the lower-education groups, it is also crucial to reinforce strategies for people of higher socioeconomic status as the burden of T2D is expected to increase significantly in this population segment.

Estimating the Rates of Undiagnosed Prediabetes and Diabetes Among People Experiencing Homelessness

OBJECTIVES

The rising prevalence of type 2 diabetes (T2D) in Canada poses a significant health challenge. Despite the convenience of screening for diabetes with glycated hemoglobin concentration, people experiencing homelessness (PEH) often face barriers to accessing diabetes screening, potentially leading to underdiagnosis. In this study, we aim to assess the prevalence of undiagnosed diabetes among PEH in Calgary, Alberta, and contribute insights for planning healthcare services and public health initiatives.

METHODS

Four screening clinics were held, and participants were recruited through posters and word of mouth. Participants underwent point-of-care glycated hemoglobin (A1C) testing using the Siemens DCA Vantage point-of-care analyzer. Descriptive statistics were used to identify the proportions of prediabetes and diabetes, whereas CanRisk survey scores were used to identify the pre-test probability of diabetes.

RESULTS

The mean age of participants (n=102) was 47.6 years, and the self-reported causes of homelessness among the participants were diverse, including: housing and financial issues (n=53), interpersonal and family issues (n=35), and health or corrections-related factors (n=27). The average A1C was 5.60% (standard deviation 0.57%), with 5 values in the diabetes range and 12 in the prediabetes range, for a total of 17 participants found to have previously undiagnosed dysglycemia.

CONCLUSIONS

The high rate of undiagnosed prediabetes and diabetes among people experiencing homelessness reflects at least what is already seen in the general population in Canada. More resources are required to reduce the barriers to screening for diabetes among this population.

Combining zip code-based population data and pharmacy administrative claims data to create measures of social determinants of health

BACKGROUND

Social determinants of health (SDoH) are key factors that impact health outcomes. However, there are many barriers to collecting SDoH data (eg, cost of data collection, technological barriers, and lack of standardized measures). Population data may provide an accessible alternative to collecting SDoH data for patients.

OBJECTIVE

To explain how population data can be leveraged to create SDoH measures, assess the association of population SDoH measures with diabetic medication adherence, and discuss how understanding a patient's SDoH can inform care plans and patient engagement.

METHODS

A nationally representative commercial sample of patients who were aged 18 years and older and met Pharmacy Quality Alliance inclusion criteria for diabetes mellitus were analyzed (N = 37,789). US Census and North American Industry Classification System data were combined with pharmacy administrative claims data to create SDoH measures. Derived measures represent 2 SDoH domains: (1) economic stability (housing density, housing relocation, jobs per resident, and average salary) and (2) health care access and quality (urban/rural classification, distance traveled to prescriber and pharmacy, use of a primary care provider [PCP], and residents per PCP). The association of population SDoH measures with diabetic medication adherence (proportion of days covered) was assessed via logistic regression, which included covariates (eg, sex, age, comorbidities, and prescription plan attributes).

RESULTS

As housing density (houses per resident) increased, so did the likelihood of adherence (odds ratio = 1.54, 95% CI = 1.21-1.97, P = 0.001). Relative to patients who did not move, patients who moved once had 0.87 (95% CI = 0.81-0.93, P < 0.001) the odds of being adherent, and patients who moved 2 or more times had 0.82 (95% CI = 0.71-0.95, P = 0.008) the odds of being adherent. Compared with areas with fewer jobs per resident, patients living within a zip code with 0.16 to 0.26 jobs per resident were 1.12 (95% CI = 1.04-1.20, P = 0.002) times more likely to be adherent. Patients who lived in an urban cluster were 1.11 (95% CI = 1.01-1.22, P = 0.037) times more likely to be adherent than patients living in a rural area. Patients who travel at least 25 miles to their prescriber had 0.82 (95% CI = 0.77-0.86, P < 0.001) the odds of being adherent. Community pharmacy users had 0.65 (95% CI = 0.59-0.71, P < 0.001) the odds of being adherent compared with mail order pharmacy users. Patients who had a PCP were 1.26 (95% CI = 1.18-1.34, P < 0.001) times more likely to be adherent to their medication.

CONCLUSIONS

Leveraging publicly available population data to create SDoH measures is an accessible option to overcome barriers to SDoH data collection. Derived measures can be used to increase equity in care received by identifying patients who could benefit from assistance with medication adherence.

1. Improving Care and Promoting Health in Populations: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at https://professional.diabetes.org/SOC.

Clinical performance and health equity implications of the American Diabetes Association's 2023 screening recommendation for prediabetes and diabetes

Introduction

The American Diabetes Association (ADA) recommends screening for prediabetes and diabetes (dysglycemia) starting at age 35, or younger than 35 years among adults with overweight or obesity and other risk factors. Diabetes risk differs by sex, race, and ethnicity, but performance of the recommendation in these sociodemographic subgroups is unknown.

Methods

Nationally representative data from the National Health and Nutrition Examination Surveys (2015-March 2020) were analyzed from 5,287 nonpregnant US adults without diagnosed diabetes. Screening eligibility was based on age, measured body mass index, and the presence of diabetes risk factors. Dysglycemia was defined by fasting plasma glucose ≥100mg/dL (≥5.6 mmol/L) or haemoglobin A1c ≥5.7% (≥39mmol/mol). The sensitivity, specificity, and predictive values of the ADA screening criteria were examined by sex, race, and ethnicity.

Results

An estimated 83.1% (95% CI=81.2-84.7) of US adults were eligible for screening according to the 2023 ADA recommendation. Overall, ADA's screening criteria exhibited high sensitivity [95.0% (95% CI=92.7-96.6)] and low specificity [27.1% (95% CI=24.5-29.9)], which did not differ by race or ethnicity. Sensitivity was higher among women [97.8% (95% CI=96.6-98.6)] than men [92.4% (95% CI=88.3-95.1)]. Racial and ethnic differences in sensitivity and specificity among men were statistically significant (P=0.04 and P=0.02, respectively). Among women, guideline performance did not differ by race and ethnicity.

Discussion

The ADA screening criteria exhibited high sensitivity for all groups and was marginally higher in women than men. Racial and ethnic differences in guideline performance among men were small and unlikely to have a significant impact on health equity. Future research could examine adoption of this recommendation in practice and examine its effects on treatment and clinical outcomes by sex, race, and ethnicity.

Trends and Predictors of Glycemic Control Among Adults With Type 2 Diabetes Covered by Alabama Medicaid, 2011-2019

INTRODUCTION

Despite advances in diabetes management, only one-quarter of people with diabetes in the US achieve optimal targets for glycated hemoglobin A1c (HbA1c), blood pressure, and cholesterol. We sought to evaluate temporal trends and predictors of achieving glycemic control among adults with type 2 diabetes covered by Alabama Medicaid from 2011 through 2019.

METHODS

We completed a retrospective analysis of Medicaid claims and laboratory data, using person-years as the unit of analysis. Inclusion criteria were being aged 19 to 64 years, having a diabetes diagnosis, being continuously enrolled in Medicaid for a calendar year and preceding 12 months, and having at least 1 HbA1c result during the study year. Primary outcomes were HbA1c thresholds of <7% and <8%. Primary exposure was study year. We conducted separate multivariable-adjusted logistic regressions to evaluate relationships between study year and HbA1c thresholds.

RESULTS

We included 43,997 person-year observations. Mean (SD) age was 51.0 (9.9) years; 69.4% were women; 48.1% were Black, 42.9% White, and 0.4% Hispanic. Overall, 49.1% had an HbA1c level of <7% and 64.6% <8%. Later study years and poverty-based eligibility were associated with lower probability of reaching target HbA1c levels of <7% or <8%. Sex, race, ethnicity, and geography were not associated with likelihood of reaching HbA1c <7% or <8% in any model.

CONCLUSION

Later study years were associated with lower likelihood of meeting target HbA1c levels compared with 2011, after adjusting for covariates. With approximately 35% not meeting an HbA1c target of <8%, more work is needed to improve outcomes of low-income adults with type 2 diabetes.

Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study

BACKGRUOUND

We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).

METHODS

Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1-4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.

RESULTS

During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1-4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.

CONCLUSION

Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.

Overview of Social Determinants of Health in the Development of Diabetes

To guide effective planning and decision-making regarding strategies to address adverse social determinants of health (SDOH) in diabetes, an understanding of upstream drivers and root causes is imperative. The World Health Organization SDOH framework includes socioeconomic and political systems and racism as upstream drivers of SDOH. These factors are not currently included in the Healthy People 2030 framework or other commonly used U.S. SDOH frameworks. This review gives an overview of the socioeconomic status SDOH and race and ethnicity in diabetes prevalence and incidence, discusses socioeconomic and political contexts and racism as upstream drivers and root causes of SDOH that necessitate attention in the U.S., illustrates the role of these drivers in the entrenched nature of SDOH within racial and ethnic minoritized and marginalized populations, and examines current and emerging actions within and beyond the health care sector to mitigate adverse SDOH. The incorporation of socioeconomic and political systems and racism as root causes and current drivers of adverse SDOH into U.S. SDOH frameworks enables an emphasis shift from primary individual- and neighborhood-level time-limited solutions to multisector and all-of-government initiatives that bring requisite policy change and permanent structural change.

Assessing the Feasibility and Acceptability of a Primary Care Socio-Ecological Approach to Improve Physical Activity Adherence among People with Type 2 Diabetes: The SENWI Project

Maintaining an active lifestyle is a key health behavior in people with type 2 diabetes (T2D). This study assessed the feasibility and acceptability of a socio-ecological Nordic walking intervention (SENWI) to enhance healthy behaviors in primary healthcare settings. Participants included individuals with T2D (n = 33; age 70 (95% CI 69-74)) and healthcare professionals (HCPs, n = 3). T2D participants were randomly assigned to a SENWI, active comparator, or control group for twelve weeks. Feasibility and acceptability were evaluated based on a mixed methodology. Quantitative data reported adherence information, differences between follow-up and dropout participants and pre- and post-intervention on physical activity, sedentary behavior, and health outcomes. Qualitative data acquisition was performed using focus groups and semi-structured interviews and analyzed using thematic analysis. Thirty-three T2D invited participants were recruited, and twenty-two (66.7%) provided post-intervention data. The SENWI was deemed acceptable and feasible, but participants highlighted the need to improve options, group schedules, gender inequities, and the intervention's expiration date. Healthcare professionals expressed a lack of institutional support and resources. Nevertheless, no significant difference between the SENWI follow-up and dropout participants or pre- and post- intervention was found (only between the active comparator and control group in the physical quality of life domain). Implementing the SENWI in primary healthcare settings is feasible and acceptable in real-world conditions. However, a larger sample is needed to assess the program's effectiveness in improving healthy behaviors and its impact on health-related outcomes in the long term.

Screening for Prediabetes and Diabetes: Clinical Performance and Implications for Health Equity

INTRODUCTION

In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended prediabetes and diabetes screening for asymptomatic adults aged 35-70 years with overweight/obesity, lowering the age from 40 years in its 2015 recommendation. The USPSTF suggested considering earlier screening in racial and ethnic groups with high diabetes risk at younger ages or lower BMI. This study examined the clinical performance of these USPSTF screening recommendations as well as alternative age and BMI cutoffs in the U.S. adult population overall, and separately by race and ethnicity.

METHODS

Nationally representative data were collected from 3,243 nonpregnant adults without diagnosed diabetes in January 2017-March 2020 and analyzed from 2021 to 2022. Screening eligibility was based on age and measured BMI. Collectively, prediabetes and undiagnosed diabetes were defined by fasting plasma glucose ≥100 mg/dL or hemoglobin A1c ≥5.7%. The sensitivity, specificity, and predictive values of alternate screening criteria were examined overall, and by race and ethnicity.

RESULTS

The 2021 criteria exhibited marginally higher sensitivity (58.6%, 95% CI=55.5, 61.6 vs 52.9%, 95% CI=49.7, 56.0) and lower specificity (69.3%, 95% CI=65.7, 72.2 vs 76.4%, 95% CI=73.3, 79.2) than the 2015 criteria overall, and within each racial and ethnic group. Screening at lower age and BMI thresholds resulted in even greater sensitivity and lower specificity, especially among Hispanic, non-Hispanic Black, and Asian adults. Screening all adults aged 35-70 years regardless of BMI yielded the most equitable performance across all racial and ethnic groups.

CONCLUSIONS

The 2021 USPSTF screening criteria will identify more adults with prediabetes and diabetes in all racial and ethnic groups than the 2015 criteria. Screening all adults aged 35-70 years exhibited even higher sensitivity and performed most similarly by race and ethnicity, which may further improve early detection of prediabetes and diabetes in diverse populations.

Lifestyle Medicine in Diabetes Care: The Lifedoc Health Model

Introduction

The relevance of lifestyle medicine in diabetes treatment is now incorporated in clinical practice guidelines but finding an exemplar for the creation of a Lifestyle Medicine Program (LMP) is a difficult task.

Aim

To use Lifedoc Health (LDH) as a LMP exemplar by describing their multidisciplinary team (MDT) approach to diabetes care along with tactics to address sustainability challenges.

Results

The LDH model facilitates early activation of patients with diabetes and other cardiometabolic risk factors, MDT approaches, and protocols/policies that are able to overcome barriers to equitable healthcare in the community. Specific programmatic targets are clinical outcomes, effective dissemination, economic viability, and sustainability. Infrastructure centers on patient-driven problem-based visits, shared medical appointments, telemedicine, and patient tracking. Further discussions on program conceptualization and operationalization are provided.

Conclusion

Even though strategic plans for LMPs that specialize in diabetes care are well represented in the literature, implementation protocols, and performance metrics are lacking. The LDH experience provides a starting point for those healthcare professionals interested in translating ideas into action.

Fit24, a digital health intervention to reduce type 2 diabetes risk among Hispanic youth: Protocol for a feasibility pilot study

BACKGROUND

Poor physical activity (PA) and sleep behaviors in Hispanic adolescents contributes to increased risk for type 2 diabetes. Commonly owned digital devices and services like smartphones and text-messaging are highly used among adolescents and are promising intervention tools for reaching this age group. Personal activity trackers assess activity and sleep, making them ideal tools for addressing these behaviors. We propose to examine the feasibility of a 12-week intervention that uses theoretically grounded text messages and a Fitbit device to improve PA and sleep among Hispanic adolescents with obesity, as compared to a wait-list control group with a Fitbit device only.

METHODS

Participants (N = 48; 14-16 years) will be randomized (1:1) to the intervention or wait-list control group. Youth in the intervention will receive a Fitbit Charge 5 and daily text messages. Youth in the wait-list control group will receive a Fitbit Charge 5 and information on PA and sleep guidelines.

RESULTS

Feasibility will be examined by collecting process evaluation data on the following criteria: (1) recruit 48 Hispanic adolescents 14-16 years; (2) retain 85% of participants for post-assessments; (3) Fitbit wear ≥4 days/week and respond to 80% of text messages when prompted; (4) ≤10% technical issues; and (5) obtain 80% satisfaction from participants.

DISCUSSION

This study will advance our knowledge on the feasibility of digital prevention strategies to promote PA and sleep behaviors to reduce T2D risk among Hispanic youth. If feasible, this approach has the potential to be a scalable, cost-effective diabetes prevention strategy among high-risk youth.

TRIAL REGISTRATION

NCT04953442, registered on July 8, 2021.

A pilot evaluation of the Food as Medicine program for patients with type 2 diabetes

The objective of this study was to determine the effectiveness of the Food as Medicine Program (modified and adapted based on supporting research of the Fresh Food Farmacy™ program) that was implemented at a southeast regional hospital with voluntary participants with diabetes. It was hypothesized that participants would experience a decline in type 2 diabetes symptoms following the 12-month program of bi-monthly healthy groceries, nutritional guidance, educational sessions, and group health coaching. For this initial pilot study, four cohorts of patients were admitted consisting of 20 participants. The 12-month program included bi-monthly food pick-ups, nutritional recipes, and bi-monthly group educational and health coaching sessions for participants. They also completed pre- and post-program assessments, including a medical history questionnaire, biometric screening (HbA1c, weight, BMI, and blood pressure), and health behavior questionnaires. While there were not statistically significant differences from pre- to post-program, mean HbA1c slightly decreased from the time of the initial test (i.e., month 1) to follow-up testing (i.e., month 12). The pre- to post-program trends for diabetes self-care activities indicated improvements for general and specific diet maintenance, days of exercise per week, blood glucose testing per week, foot care, and smoking habits. Participants also exhibited a decrease in diabetes distress for emotional, physical, regimen, and interpersonal distress from pre- to post-program. This is very important as self-regulation of behaviors is necessary to successful management of diabetes. The results are discussed in relation to the limitations created by COVID-19, along with future implementation suggestions.

Management of Individuals With Diabetes at High Risk for Hypoglycemia: An Endocrine Society Clinical Practice Guideline

CONTEXT

Hypoglycemia in people with diabetes is common, especially in those taking medications such as insulin and sulfonylureas (SU) that place them at higher risk. Hypoglycemia is associated with distress in those with diabetes and their families, medication nonadherence, and disruption of life and work, and it leads to costly emergency department visits and hospitalizations, morbidity, and mortality.

OBJECTIVE

To review and update the diabetes-specific parts of the 2009 Evaluation and Management of Adult Hypoglycemic Disorders: Endocrine Society Clinical Practice Guideline and to address developing issues surrounding hypoglycemia in both adults and children living with diabetes. The overriding objectives are to reduce and prevent hypoglycemia.

METHODS

A multidisciplinary panel of clinician experts, together with a patient representative, and methodologists with expertise in evidence synthesis and guideline development, identified and prioritized 10 clinical questions related to hypoglycemia in people living with diabetes. Systematic reviews were conducted to address all the questions. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make recommendations.

RESULTS

The panel agreed on 10 questions specific to hypoglycemia risk and prevention in people with diabetes for which 10 recommendations were made. The guideline includes conditional recommendations for use of real-time continuous glucose monitoring (CGM) and algorithm-driven insulin pumps in people with type 1 diabetes (T1D), use of CGM for outpatients with type 2 diabetes at high risk for hypoglycemia, use of long-acting and rapid-acting insulin analogs, and initiation of and continuation of CGM for select inpatient populations at high risk for hypoglycemia. Strong recommendations were made for structured diabetes education programs for those at high risk for hypoglycemia, use of glucagon preparations that do not require reconstitution vs those that do for managing severe outpatient hypoglycemia for adults and children, use of real-time CGM for individuals with T1D receiving multiple daily injections, and the use of inpatient glycemic management programs leveraging electronic health record data to reduce the risk of hypoglycemia.

CONCLUSION

The recommendations are based on the consideration of critical outcomes as well as implementation factors such as feasibility and values and preferences of people with diabetes. These recommendations can be used to inform clinical practice and health care system improvement for this important complication for people living with diabetes.

Association of community walkability and glycemic control among pregnant individuals with pregestational diabetes mellitus

BACKGROUND

Neighborhood walkability is a community-level social determinant of health that measures whether people who live in a neighborhood walk as a mode of transportation. Whether neighborhood walkability is associated with glycemic control among pregnant individuals with pregestational diabetes remains to be defined.

OBJECTIVE

This study aimed to evaluate the association between community-level neighborhood walkability and glycemic control as measured by hemoglobin A1c (A1C) among pregnant individuals with pregestational diabetes.

STUDY DESIGN

This was a retrospective analysis of pregnant individuals with pregestational diabetes enrolled in an integrated prenatal and diabetes care program from 2012 to 2016. Participant addresses were geocoded and linked at the census-tract level. The exposure was community walkability, defined by the US Environmental Protection Agency National Walkability Index (score range 1-20), which incorporates intersection density (design), proximity to transit stops (distance), and a mix of employment and household types (diversity). Individuals from neighborhoods that were the most walkable (score, 15.26-20.0) were compared with those from neighborhoods that were less walkable (score <15.26), as defined per national Environmental Protection Agency recommendations. The outcomes were glycemic control, including A1C <6.0% and <6.5%, measured both in early and late pregnancy, and mean change in A1C across pregnancy. Modified Poisson regression and linear regression were used, respectively, and adjusted for maternal age, body mass index at delivery, parity, race and ethnicity as a social determinant of health, insurance status, baseline A1C, gestational age at A1C measurement in early and late pregnancy, and diabetes type.

RESULTS

Among 417 pregnant individuals (33% type 1, 67% type 2 diabetes mellitus), 10% were living in the most walkable communities. All 417 individuals underwent A1C assessment in early pregnancy (median gestational age, 9.7 weeks; interquartile range, 7.4-14.1), and 376 underwent another A1C assessment in late pregnancy (median gestational age, 30.4 weeks; interquartile range, 27.8-33.6). Pregnant individuals living in the most walkable communities were more likely to have an A1C <6.0% in early pregnancy (15% vs 8%; adjusted relative risk, 1.46; 95% confidence interval, 1.00-2.16), and an A1C <6.5% in late pregnancy compared with those living in less walkable communities (13% vs 9%; adjusted relative risk, 1.33; 95% confidence interval, 1.08-1.63). For individuals living in the most walkable communities, the median A1C was 7.5 (interquartile range, 6.0-9.4) in early pregnancy and 5.9 (interquartile range, 5.4-6.4) in late pregnancy. For those living in less walkable communities, the median A1C was 7.3 (interquartile range, 6.2-9.2) in early pregnancy and 6.2 (interquartile range, 5.6-7.1) in late pregnancy. Change in A1C across pregnancy was not associated with walkability.

CONCLUSION

Pregnant individuals with pregestational diabetes mellitus living in more walkable communities had better glycemic control in both early and late pregnancy. Whether community-level interventions to enhance neighborhood walkability can improve glycemic control in pregnancy requires further study.

Association of community-level food insecurity and glycemic control among pregnant individuals with pregestational diabetes

AIM

To evaluate whether pregnant individuals with pregestational diabetes who live in a food-insecure community have worse glycemic control compared to those who do not live in a food-insecure community.

METHODS

A retrospective analysis of pregnant individuals with pregestational diabetes enrolled in a multidisciplinary prenatal and diabetes care program. The exposure was community-level food insecurity per the Food Access Research Atlas. The outcomes were hemoglobin A1c (A1c) < 6.0 % in early and late pregnancy, and an absolute decrease in A1c ≥ 2.0 % and mean change in A1c across pregnancy.

RESULTS

Among 418 assessed pregnant individuals with pregestational diabetes, those living in a food-insecure community were less likely to have an A1c < 6.0 % in early pregnancy compared to those living in a community without food insecurity [16 % vs. 30 %; adjusted risk ratio (aRR): 0.55; 95 % CI: 0.33-0.92]. Individuals living in a food-insecure community were more likely to achieve a decrease in A1c ≥ 2.0 % [35 % vs. 21 %; aRR: 1.55; 95 % CI: 1.06-2.28] and a larger mean decrease in A1c across pregnancy [mean: 1.46 vs. 1.00; adjusted beta: 0.47; 95 % CI: 0.06-0.87)].

CONCLUSIONS

Pregnant individuals with pregestational diabetes who lived in a food-insecure community were less likely to enter pregnancy with glycemic control, but were more likely to have a reduction in A1c and achieve similar A1c status compared to those who lived in a community without food insecurity. Whether interventions that address food insecurity improve glycemic control and consequent perinatal outcomes remains to be studied.

Perspective: Acknowledging a Hierarchy of Social Needs in Diabetes Clinical Care and Prevention

The evidence of suboptimal social determinants of health (SDoH) on poor health outcomes has resulted in widespread calls for research to identify ways to measure and address social needs to improve health outcomes and reduce disparities. While assessing SDoH has become increasingly important in diabetes care and prevention research, little guidance has been offered on how to address suboptimal determinants in diabetes-related clinical care, prevention efforts, medical education and research. Not surprisingly, many patients experience multiple social needs - some that are more urgent (housing) than others (transportation/resources), therefore the order in which these needs are addressed needs to be considered in the context of diabetes care/outcomes. Here we discuss how conceptualizing diabetes related health through the lens of Maslow's hierarchy of needs has potential to help prioritize individual social needs that should be addressed to improve outcomes in the context of population-level determinants in the communities where people live.

1. Improving Care and Promoting Health in Populations: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Racial and Ethnic Disparities in Diabetes Clinical Care and Management: A Narrative Review

Diabetes affects nearly 37 million Americans, with disproportionately higher disease burden amongst those from minoritized communities. The result of this is greater rates of diabetic complications and mortality. To close this gap in care, it is important to assess the differences in both diagnosis and care between White and ethnic/racial minoritized persons with diabetes. The purpose of this narrative review is to explore this further by assessing the differences in diagnosis, management, diabetes education, and complications.

Management of hyperglycaemia in type 2 diabetes, 2022. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

The American Diabetes Association and the European Association for the Study of Diabetes convened a panel to update the previous consensus statements on the management of hyperglycaemia in type 2 diabetes in adults, published since 2006 and last updated in 2019. The target audience is the full spectrum of the professional healthcare team providing diabetes care in the USA and Europe. A systematic examination of publications since 2018 informed new recommendations. These include additional focus on social determinants of health, the healthcare system and physical activity behaviours including sleep. There is a greater emphasis on weight management as part of the holistic approach to diabetes management. The results of cardiovascular and kidney outcomes trials involving sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists, including assessment of subgroups, inform broader recommendations for cardiorenal protection in people with diabetes at high risk of cardiorenal disease. After a summary listing of consensus recommendations, practical tips for implementation are provided.

A global view of hypertensive disorders and diabetes mellitus during pregnancy

Two important maternal cardiometabolic disorders (CMDs), hypertensive disorders in pregnancy (HDP) (including pre-eclampsia) and gestational diabetes mellitus (GDM), result in a large disease burden for pregnant individuals worldwide. A global consensus has not been reached about the diagnostic criteria for HDP and GDM, making it challenging to assess differences in their disease burden between countries and areas. However, both diseases show an unevenly distributed disease burden for regions with a low income or middle income, or low-income and middle-income countries (LMICs), or regions with lower sociodemographic and human development indexes. In addition to many common clinical, demographic and behavioural risk factors, the development and clinical consequences of maternal CMDs are substantially influenced by the social determinants of health, such as systemic marginalization. Although progress has been occurring in the early screening and management of HDP and GDM, the accuracy and long-term effects of such screening and management programmes are still under investigation. In addition to pharmacological therapies and lifestyle modifications at the individual level, a multilevel approach in conjunction with multisector partnership should be adopted to tackle the public health issues and health inequity resulting from maternal CMDs. The current COVID-19 pandemic has disrupted health service delivery, with women with maternal CMDs being particularly vulnerable to this public health crisis.

Association Between Social Determinants of Health and Glycemic Control Among African American People with Type 2 diabetes: The Jackson Heart Study

BACKGROUND

Social determinants of health have a significant impact on health outcomes. However, the complexity and interaction of multiple factors influencing glycemic control remain understudied.

PURPOSE

This study examined associations of socioeconomic position (income, education, and occupation), environmental (physical activity facilities, neighborhood social cohesion, neighborhood problem, and violence), behavioral (physical activity, nutrition, and smoking), and psychological factors (depressive symptoms, stress, and discrimination) with glycemic control (hemoglobin A1c [A1c]) using the World Health Organization Social Determinants of Health framework in African American adults with type 2 diabetes.

METHODS

A secondary data analysis was conducted using a longitudinal cohort of 1,240 African American adults with type 2 diabetes who participated in the community-based Jackson Heart Study. Socioeconomic position, environmental, behavioral, and psychological factors were measured using validated instruments in the Jackson Heart Study. Longitudinal structural equation modeling was used with glycemic control (A1c) collected over time (Exams 1-3) as the study outcome.

RESULTS

Our study presents the complex interplay of socioeconomic determinants of health and glycemic control over time. Higher socioeconomic position (higher income, higher level of education, and professional occupation) was directly associated with improvement in glycemic control over time. An association of socioeconomic position on glycemic control mediated through health behavior factors was also observed.

CONCLUSIONS

In this analysis, socioeconomic position components were determinants of glycemic control in African American adults with type 2 diabetes. Future studies aimed at reducing health disparities and achieving equality of outcomes in this population will benefit from embedding socioeconomic position components into their design.

Differences in Weight Loss by Race and Ethnicity in the PRIDE Trial: a Qualitative Analysis of Participant Perspectives

BACKGROUND

Many Diabetes Prevention Program (DPP) translation efforts have been less effective for underresourced populations. In the cluster-randomized Prediabetes Informed Decision and Education (PRIDE) trial, which evaluated a shared decision-making (SDM) intervention for diabetes prevention, Hispanic and non-Hispanic Black participants lost less weight than non-Hispanic White participants at 12-month follow-up.

OBJECTIVE

To explore perspectives about weight loss from PRIDE participants of different racial and ethnic groups.

PARTICIPANTS

Sample of participants with prediabetes who were randomized to the PRIDE intervention arm (n=24).

APPROACH

We conducted semi-structured interviews within three groups stratified by DPP participation and % weight loss at 12 months: (DPP+/WL+, enrolled in DPP and lost >5% weight; DPP+/WL-, enrolled in DPP and lost <3% weight; DPP-/WL-, did not enroll in DPP and lost <3% weight). Each group was further subdivided on race and ethnicity (non-Hispanic Black (NHB), non-Hispanic White (NHW), Hispanic). Interviews were conducted on Zoom and transcripts were coded and analyzed with Dedoose.

KEY RESULTS

Compared to NHW participants, Hispanic and NHB participants more often endorsed weight loss barriers of limited time to make lifestyle changes due to long work and commute hours, inconvenient DPP class locations and offerings, and limited disposable income for extra weight loss activities. Conversely, facilitators of weight loss regardless of race and ethnicity included retirement or having flexible work schedules; being able to identify convenient DPP classes; having a strong, positive support system; and purchasing supplementary resources to support lifestyle change (e.g., gym memberships, one-on-one activity classes).

CONCLUSIONS

We found that NHB and Hispanic SDM participants report certain barriers to weight loss more commonly than NHW participants, particularly barriers related to limited disposable income and/or time constraints. Our findings suggest that increased lifestyle change support and flexible program delivery options may be needed to ensure equity in DPP reach, participant engagement, and outcomes.

Management of Hyperglycemia in Type 2 Diabetes, 2022. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

The American Diabetes Association and the European Association for the Study of Diabetes convened a panel to update the previous consensus statements on the management of hyperglycemia in type 2 diabetes in adults, published since 2006 and last updated in 2019. The target audience is the full spectrum of the professional health care team providing diabetes care in the U.S. and Europe. A systematic examination of publications since 2018 informed new recommendations. These include additional focus on social determinants of health, the health care system, and physical activity behaviors, including sleep. There is a greater emphasis on weight management as part of the holistic approach to diabetes management. The results of cardiovascular and kidney outcomes trials involving sodium-glucose cotransporter 2 inhibitors and glucagon-like peptide 1 receptor agonists, including assessment of subgroups, inform broader recommendations for cardiorenal protection in people with diabetes at high risk of cardiorenal disease. After a summary listing of consensus recommendations, practical tips for implementation are provided.

From Genes to Geography, from Cells to Community, from Biomolecules to Behaviors: The Importance of Social Determinants of Health

Much scientific work over the past few decades has linked health outcomes and disease risk to genomics, to derive a better understanding of disease mechanisms at the genetic and molecular level. However, genomics alone does not quite capture the full picture of one’s overall health. Modern computational biomedical research is moving in the direction of including social/environmental factors that ultimately affect quality of life and health outcomes at both the population and individual level. The future of studying disease now lies at the hands of the social determinants of health (SDOH) to answer pressing clinical questions and address healthcare disparities across population groups through its integration into electronic health records (EHRs). In this perspective article, we argue that the SDOH are the future of disease risk and health outcomes studies due to their vast coverage of a patient’s overall health. SDOH data availability in EHRs has improved tremendously over the years with EHR toolkits, diagnosis codes, wearable devices, and census tract information to study disease risk. We discuss the availability of SDOH data, challenges in SDOH implementation, its future in real-world evidence studies, and the next steps to report study outcomes in an equitable and actionable way.

Does the diabetes health plan have a differential impact on medication adherence among beneficiaries with fewer financial resources?

BACKGROUND: The Diabetes Health Plan (DHP), a value-based insurance plan that reduces cost sharing, was previously shown to modestly increase employer-level medication adherence. It is unclear how the DHP might impact individuals with different incomes. OBJECTIVE: To examine the impact of the DHP on individual-level medication adherence, by income level. METHODS: This is a retrospective, quasiexperimental study. An employer-level propensity score match was done to identify suitable control employers, followed by individual-level propensity score weighing. These weights were applied to difference-in-difference models examining the effect of the DHP and the effect of income on changes in adherence to metformin, statins, and angiotensin-converting enzymes/angiotensin receptor blockers. The weights were then applied to a differences-in-differences-in-differences model to estimate the differential impact of DHP status on changes in adherence by income group. RESULTS: The study population included 2,065 beneficiaries with DHP and 17,704 matched controls. There were no significant differences in changes to adherence for any medications between beneficiaries enrolled in the DHP vs standard plans. However, adherence to all medications was higher among those with incomes greater than $75,000 (year 1: metformin: +7.3 percentage points; statin +4.3 percentage points; angiotensin-converting enzymes/angiotensin receptor blockers: +6.2 percentage points; P < 0.01) compared with those with incomes less than $50,000. The differences-in-differences-in-differences term examining the impact of income on the DHP effect was not significant for any comparisons. CONCLUSIONS: We did not find significant associations between the DHP and changes in individual-level medication adherence, even for low-income beneficiaries. New strategies to improve consumer engagement may be needed to translate value-based insurance designs into changes in patient behavior. DISCLOSURES: Drs Ettner and Moin received grants from the Centers for Disease Control and Prevention and National Institute of Diabetes and Digestive and Kidney Diseases (Principal Investigator: Carol Mangione). Mr Luchs received support for attending meetings and/or travel (minimal-mileage and hotel on 2 occasions). Mr Chan has an employee benefit to purchase stock for UnitedHealth Group.

Neighborhood Environment and Metabolic Risk in Hispanics/Latinos From the Hispanic Community Health Study/Study of Latinos

INTRODUCTION

This study examines the associations of neighborhood environments with BMI, HbA1c, and diabetes across 6 years in Hispanic/Latino adults.

METHODS

Participants from the Hispanic Community Health Study/Study of Latinos San Diego site (n=3,851, mean age=39.4 years, 53.3% women, 94.0% Mexican heritage) underwent assessment of metabolic risk factors and diabetes status (categorized as normoglycemia, prediabetes, and diabetes) at baseline (2008-2011) and approximately 6 years later (2014-2017). In the Study of Latinos Community and Surrounding Areas Study ancillary study (2015-2020), participant baseline addresses were geocoded, and neighborhoods were defined using 800-meter circular buffers. Neighborhood variables representing socioeconomic deprivation, residential stability, social disorder, walkability, and greenness were created using Census and other public databases. Analyses were conducted in 2020-2021.

RESULTS

Complex survey regression analyses revealed that greater neighborhood socioeconomic deprivation was associated with higher BMI (β=0.14, p<0.001) and HbA1c (β=0.08, p<0.01) levels and a higher odds of worse diabetes status (i.e., having prediabetes versus normoglycemia and having diabetes versus prediabetes; OR=1.25, 95% CI=1.06, 1.47) at baseline. Greater baseline neighborhood deprivation also was related to increasing BMI (β=0.05, p<0.01) and worsening diabetes (OR=1.27, 95% CI=1.10, 1.46) statuses, whereas social disorder was related to increasing BMI levels (β=0.05, p<0.05) at Visit 2. There were no associations of expected protective factors of walkability, greenness, or residential stability.

CONCLUSIONS

Neighborhood deprivation and disorder were related to worse metabolic health in San Diego Hispanic/Latino adults of mostly Mexican heritage. Multilevel interventions emphasizing individual and structural determinants may be most effective in improving metabolic health among Hispanic/Latino individuals.

Diagnosis and management of type 2 diabetes in children

ABSTRACT

The incidence of type 2 diabetes in children has risen 4.8% over the past decade, correlating with steadily rising obesity rates in children. Updated guidelines from the American Academy of Pediatrics and the American Diabetes Association encourage early identification and pharmacologic intervention for children with type 2 diabetes. Because of the aggressive disease course in children, comprehensive treatment must include prevention of complications such as diabetic nephropathy and neuropathy as well as management of comorbidities such as cardiovascular disease and dyslipidemia. Because the highest incidence of type 2 diabetes is reported in patients from racial or ethnic minority groups and those of low socioeconomic status, clinicians must work with patients and families to identify socioeconomic disparities that could affect adherence to diabetes management plans and to connect patients with community resources.

Association Between Social Vulnerability and Achieving Glycemic Control Among Pregnant Individuals With Pregestational Diabetes

OBJECTIVE

To evaluate the association between community-level social vulnerability and achieving glycemic control (defined as hemoglobin A1c [Hb A1c] less than 6.0% or less than 6.5%) among individuals with pregestational diabetes.

METHODS

We conducted a retrospective cohort of individuals with pregestational diabetes with singleton gestations from 2012 to 2016 at a tertiary care center. Addresses were geocoded using ArcGIS and then linked at the census tract to the Centers for Disease Control and Prevention's 2018 SVI (Social Vulnerability Index), which incorporates 15 Census variables to produce a composite score and four scores across thematic domains (socioeconomic status, household composition and disability, minority status and language, and housing type and transportation). Scores range from 0 to 1, with higher values indicating greater community-level social vulnerability. The primary outcome was Hb A1c less than 6.0%, and, secondarily, Hb A1c less than 6.5%, in the second or third trimesters. Multivariable Poisson regression with robust error variance was used to evaluate the association between SVI score as a continuous measure and target Hb A1c.

RESULTS

Among 418 assessed pregnant individuals (33.0% type 1; 67.0% type 2 diabetes), 41.4% (173/418) achieved Hb A1c less than 6.0%, and 56.7% (237/418) Hb A1c less than 6.5% at a mean gestational age of 29.5 weeks (SD 5.78). Pregnant individuals with a higher SVI score were less likely to achieve Hb A1c less than 6.0% compared with those with a lower SVI score. For each 0.1-unit increase in SVI score, the risk of achieving Hb A1c less than 6.0% decreased by nearly 50% (adjusted risk ratio [aRR] 0.53; 95% CI 0.36-0.77), and by more than 30% for Hb A1c less than 6.5% (adjusted odds ratio 0.67; 95% CI 0.51-0.88). With regard to specific SVI domains, those who scored higher on socioeconomic status (aRR 0.50; 95% CI 0.35-0.71) as well as on household composition and disability (aRR 0.55; 95% CI 0.38-0.79) were less likely to achieve Hb A1c less than 6.0%.

CONCLUSION

Pregnant individuals with pregestational diabetes living in an area with higher social vulnerability were less likely to achieve glycemic control, as measured by HgbA1c levels. Interventions are needed to assess whether addressing social determinants of health can improve glycemic control in pregnancy.

Behavioral Predictive Analytics Towards Personalization for Self-management: a Use Case on Linking Health-Related Social Needs

The objective of this research is to investigate the feasibility of applying behavioral predictive analytics to optimize patient engagement in diabetes self-management, and to gain insights on the potential of infusing a chatbot with NLP technology for discovering health-related social needs. In the U.S., less than 25% of patients actively engage in self-health management, even though self-health management has been reported to associate with improved health outcomes and reduced healthcare costs. The proposed behavioral predictive analytics relies on manifold clustering to identify subpopulations segmented by behavior readiness characteristics that exhibit non-linear properties. For each subpopulation, an individualized auto-regression model and a population-based model were developed to support self-management personalization in three areas: glucose self-monitoring, diet management, and exercise. The goal is to predict personalized activities that are most likely to achieve optimal engagement. In addition to actionable self-health management, this research also investigates the feasibility of detecting health-related social needs through unstructured conversational dialog. This paper reports the result of manifold clusters based on 148 subjects with type 2 diabetes and shows the preliminary result of personalization for 22 subjects under different scenarios, and the preliminary results on applying Latent Dirichlet Allocation to the conversational dialog of ten subjects for discovering social needs in five areas: food security, health (insurance coverage), transportation, employment, and housing.

Social Determinants of Health, Race, and Diabetes Population Health Improvement: Black/African Americans as a Population Exemplar

PURPOSE OF REVIEW

To summarize evidence of impact of social determinants of health (SDOH) on diabetes risk, morbidity, and mortality and to illustrate this impact in a population context.

RECENT FINDINGS

Key findings from the American Diabetes Association's scientific review of five SDOH domains (socioeconomic status, neighborhood and physical environment, food environment, health care, social context) are highlighted. Population-based data on Black/African American adults illustrate persisting diabetes disparities and inequities in the SDOH conditions in which this population is born, grows, lives, and ages, with historical contributors. SDOH recommendations from US national committees largely address a health sector response, including health professional education, SDOH measurement, and patient referral to services for social needs. Fewer recommendations address solutions for systemic racism and socioeconomic discrimination as root causes. SDOH are systemic, population-based, cyclical, and intergenerational, requiring extension beyond health care solutions to multi-sector and multi-policy approaches to achieve future population health improvement.

Maximizing diabetes education efforts in vulnerable populations - newer delivery concepts

PURPOSE OF REVIEW

Patients from ethnic/minority backgrounds or low socioeconomic status face numerous barriers to achieving ideal diabetes care goals. The purpose of this review is to describe the burden of diabetes in vulnerable populations; discuss the etiologic factors leading to health disparities in diabetes; and present challenges and solutions to improving diabetes care through novel diabetes self-management education and support interventions.

RECENT FINDINGS

Recent interventions to alleviate health disparities utilize a combination of community health workers, peer leaders and technology-based approaches to provide diabetes self-management education and support and overcome barriers to diabetes control such as low literacy, difficulty with transportation, and cultural beliefs. These interventions achieve clinically meaningful improvements in blood glucose control as measured by haemoglobin A1C and are effective in addressing psychosocial outcomes such as diabetes distress. Research is underway to address food insecurity through food delivery and use behavioural economics principles to provide financial incentives to diabetes control.

SUMMARY

Combining human interaction through peer or community health worker led diabetes educational efforts and support with technology-based interventions shows promise in improving diabetes outcomes for vulnerable populations.

Comprehensive Management of Cardiovascular Risk Factors for Adults With Type 2 Diabetes: A Scientific Statement From the American Heart Association

Cardiovascular disease remains the leading cause of death in patients with diabetes. Cardiovascular disease in diabetes is multifactorial, and control of the cardiovascular risk factors leads to substantial reductions in cardiovascular events. The 2015 American Heart Association and American Diabetes Association scientific statement, "Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence," highlighted the importance of modifying various risk factors responsible for cardiovascular disease in diabetes. At the time, there was limited evidence to suggest that glucose-lowering medications reduce the risk of cardiovascular events. At present, several large randomized controlled trials with newer antihyperglycemic agents have been completed, demonstrating cardiovascular safety and reduction in cardiovascular outcomes, including cardiovascular death, myocardial infarction, stroke, and heart failure. This AHA scientific statement update focuses on (1) the evidence and clinical utility of newer antihyperglycemic agents in improving glycemic control and reducing cardiovascular events in diabetes; (2) the impact of blood pressure control on cardiovascular events in diabetes; and (3) the role of newer lipid-lowering therapies in comprehensive cardiovascular risk management in adults with diabetes. This scientific statement addresses the continued importance of lifestyle interventions, pharmacological therapy, and surgical interventions to curb the epidemic of obesity and metabolic syndrome, important precursors of prediabetes, diabetes, and comorbid cardiovascular disease. Last, this scientific statement explores the critical importance of the social determinants of health and health equity in the continuum of care in diabetes and cardiovascular disease.

1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2022

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Diabetes Prevention and Care Capacity at Urban Indian Health Organizations

American Indian and Alaska Native (AI/AN) people suffer a disproportionate burden of diabetes and cardiovascular disease. Urban Indian Health Organizations (UIHOs) are an important source of diabetes services for urban AI/AN people. Two evidence-based interventions-diabetes prevention (DP) and healthy heart (HH)-have been implemented and evaluated primarily in rural, reservation settings. This work examines the capacity, challenges and strengths of UIHOs in implementing diabetes programs. Methods: We applied an original survey, supplemented with publicly-available data, to assess eight organizational capacity domains, strengths and challenges of UIHOs with respect to diabetes prevention and care. We summarized and compared (Fisher's and Kruskal-Wallis exact tests) items in each organizational capacity domain for DP and HH implementers vs. non-implementers and conducted a thematic analysis of strengths and challenges. Results: Of the 33 UIHOs providing services in 2017, individuals from 30 sites (91% of UIHOs) replied to the survey. Eight UIHOs (27%) had participated in either DP (n = 6) or HH (n = 2). Implementers reported having more staff than non-implementers (117.0 vs. 53.5; p = 0.02). Implementers had larger budgets, ~$10 million of total revenue compared to $2.5 million for non-implementers (p = 0.01). UIHO strengths included: physical infrastructure, dedicated leadership and staff, and community relationships. Areas to strengthen included: staff training and retention, ensuring sufficient and consistent funding, and data infrastructure. Conclusions: Strengthening UIHOs across organizational capacity domains will be important for implementing evidence-based diabetes interventions, increasing their uptake, and sustaining these interventions for AI/AN people living in urban areas of the U.S.

Cardiovascular Impact of Race and Ethnicity in Patients With Diabetes and Obesity: JACC Focus Seminar 2/9

Obesity and type 2 diabetes mellitus are highly prevalent and increasing in the United States among racial/ethnic minority groups. Type 2 diabetes mellitus, which is driven by many factors including elevated levels of adiposity, is an exemplar health disparities disease. Pervasive disparities exist at every level from risk factors through outcomes for U.S. racial/ethnic minority groups, including African American, Hispanic/LatinX American, and Asian American populations. Disparities in clinical care exist including hemoglobin A1c control, lower prescription rates of newer antihyperglycemic medications, along with greater rates of complications postbariatric surgery. Underpinning these disparities are the social determinants of health affecting provider-patient interactions, access to resources, and healthy built environments. We review the best practices to address cardiometabolic disparities in the current cardiovascular guidelines and describe recommendations for cross-cutting strategies to advance equity in obesity and type 2 diabetes across U.S. racial/ethnic groups.

Is Obesity/Adiposity-Based Chronic Disease Curable: The Set Point Theory, the Environment, and Second Generation Medications

Adiposity-Based Chronic Disease (ABCD) is a chronic disease and requires life-long treatment and follow-up. Obesity protects obesity through altered regulation of caloric intake and set point mechanisms that maintains a high equilibrium body weight. Lifestyle interventions and obesity medications do not permanently alter the set point which often makes weight loss achieved by lifestyle short-lived and operates to drive weight regain once medications are discontinued. Bariatric surgery procedures can alter appetite and lower the "set point" for equilibrium body weight via unknown mechanisms. However, few patients attain ideal body weight following surgery, many regain weight, and all require long-term follow-up for the disease. The excess adiposity of ABCD gives rise to complications that impair health and confer morbidity and mortality; however, the genetic risks and potential interactions between genes and environment that give rise to complications also cannot be eliminated. The equilibrium body weight around which set point mechanisms operate can be modified by environment, which underscores the importance of a less obesogenic environment for prevention and treatment of ABCD on a population basis. If ABCD will eventually be curable, this will depend on a clear understanding of the molecular mechanisms that determine the set point regulation of body weight, and an ability to permanently modulate the set point to oscillate around and a lean body mass. The conceptualization of ABCD as a chronic disease, however, does present us with opportunities for primary, secondary, and tertiary prevention to avert disease progression. For tertiary care, the advent of new, more effective, second-generation obesity medications will allow clinicians to treat-to-target via active management of body weight into a target range that will ameliorate specific complications.

The role of Sociodemographic factors on goal achievement in a community-based diabetes prevention program behavioral lifestyle intervention

BACKGROUND

The Diabetes Prevention Program (DPP) behavioral lifestyle intervention was effective among a diverse sample of adults with prediabetes. Demonstrated effectiveness in translated versions of the DPP lifestyle intervention (such as Group Lifestyle Balance, DPP-GLB) led to widescale usage with national program oversight and reimbursement. However, little is known about the success of these DPP-translation programs across subgroups of sociodemographic factors. This current effort investigated potential disparities in DPP-translation program primary goal achievement (physical activity and weight) by key sociodemographic factors.

METHODS

Data were combined from two 12-month community-based DPP-GLB trials among overweight/obese individuals with prediabetes and/or metabolic syndrome. We evaluated change in weight (kilograms and percent) and activity (MET-hrs/week) and goal achievement (yes/no; ≥5% weight loss and 150 min per week activity) after 6 and 12 months of intervention within and across subgroups of race/ethnicity (non-Hispanic white, non-Hispanic black), employment status, education, income, and gender.

RESULTS

Among 240 participants (85%) with complete data, most sociodemographic subgroups demonstrated significant weight loss. However, non-Hispanic white lost more weight at both 6 and 12 months compared to non-Hispanic black participants [median weight loss (IQR), 6 months: 5.7% (2.7-9.0) vs. 1.5% (1.2-7.5) p = .01 and 12 months: 4.8% (1.1-9.6) vs. 1.1% (- 2.0-3.7) p = .01, respectively]. In addition, a larger percentage of non-Hispanic white demonstrated a 5% weight loss at 6 and 12 months. Employment was significantly related to 12-month weight loss, with retired participants being the most successful. Men, participants with graduate degrees, and those with higher income were most likely to meet the activity goal at baseline and 12 months. Differences in physical activity goal achievement across gender, education, and income groups were significant at baseline, attenuated after 6 months, then re-emerged at 12 months.

CONCLUSIONS

The DPP-GLB was effective in promoting weight loss and helped to alleviate disparities in physical activity levels after 6 months. Despite overall program success, differences in weight loss achievement by race/ethnicity were found and disparities in activity re-emerged after 12 months of intervention. These results support the need for intervention modification providing more tailored approaches to marginalized groups to maximize the achievement and maintenance of DPP-GLB behavioral goals.

TRIAL REGISTRATION

NCT01050205 , NCT02467881 .

Opportunities to Address Obesity Disparities Among High-Risk Latino Children and Adolescents

PURPOSE OF REVIEW

This review highlights obesity-related disparities among Latino children and adolescents, discusses the social determinants of health (SDoH) that drive disparities, and presents case studies of strategies for reducing disparities and promoting health equity.

RECENT FINDINGS

Recommended strategies for reducing obesity-related disparities include the use of culturally grounded programming, multi-sector collaborations, and technology. We present two exemplar studies that demonstrate that integrating cultural values and enhancing the overall cultural fit of prevention programs can increase engagement among high-risk Latino families. We also examine the use of multi-sector collaborations to build community capacity and address key SDoH that impact health behaviors and outcomes. Our last example study demonstrates the utility of technology for engaging youth and extending the reach of prevention strategies in vulnerable communities. To address growing obesity-related disparities, there is an urgent need to develop and test these strategies among high-risk, vulnerable populations like Latino children and adolescents.

Family-Based Obesity Prevention Interventions among Hispanic Children and Families: A Scoping Review

This scoping review examined intervention and sample characteristics of family-based obesity prevention interventions among Hispanic youth. This review also examined the degree to which existing interventions were culturally-adapted, acknowledged social determinants of health (SDoH), and collaborated with community stakeholders. A comprehensive search across Medline Ovid, Embase, Scopus, PsycInfo, and Pubmed was used to identify 13 studies primarily based in the U.S. (92.3%). Data was extracted by two independent reviewers. Most used a randomized control trial design (69.2%), a behavior change theory (84.6%), and reported moderate to high (≥70%) retention (69.2%). Studies targeted improvements in physical activity (69.2%) and fruit and vegetable intake (92.3%) through nutrition education, cooking demonstrations, and tastings. Younger children from low socioeconomic backgrounds (61.5%) were well represented. Most interventions were culturally-adapted (69.2%), all studies reported collaboration with stakeholders, yet only half used strategies that acknowledged SDoH (46.2%). To increase our understanding of the underlying mechanisms by which family-based approaches can reach and engage Hispanic youth and families, future studies should rigorously evaluate theoretical constructs, family processes, and SDoH that influence program participation and health behaviors. This information will guide the design and development of future interventions aimed at reducing obesity disparities among Hispanic youth.

Lifetime risk of developing diabetes and years of life lost among those with diabetes in Brazil

BACKGROUND

Given the paucity of studies for low- or middle-income countries, we aim to provide the first ever estimations of lifetime risk of diabetes, years of life spent and lost among those with diabetes for Brazilians. Estimates of Brazil´s diabetes burden consist essentially of reports of diabetes prevalence from national surveys and mortality data. However, these additional metrics are at times more meaningful ways to characterize this burden.

METHODS

We joined data on incidence of physician-diagnosed diabetes from the Brazilian risk factor surveillance system, all-cause mortality from national statistics, and diabetes mortality rate ratios from ELSA-Brasil, an ongoing cohort study. To calculate lifetime risk of developing diabetes, we applied an illness-death state model. To calculate years of life lost for those with diabetes and years lived with the disease, we additionally calculated the mortality rates for those with diabetes.

RESULTS

A 35-year-old white adult had a 23.4% (95% CI = 22.5%-25.5%) lifetime risk of developing diabetes by age 80 while a same-aged black/brown adult had a 30.8% risk (95% confidence interval (CI) = 29.6%-33.2%). Men diagnosed with diabetes at age 35 would live 32.9 (95% CI = 32.4-33.2) years with diabetes and lose 5.5 (95% CI = 5.1-6.1) years of life. Similarly-aged women would live 38.8 (95% CI = 38.3-38.9) years with diabetes and lose 2.1 (95% CI = 1.9-2.6) years of life.

CONCLUSIONS

Assuming maintenance of current rates, one-quarter of young Brazilians will develop diabetes over their lifetimes, with this number reaching almost one-third among young, black/brown women. Those developing diabetes will suffer a decrease in life expectancy and will generate a considerable cost in terms of medical care.

Lifetime risk of developing diabetes and years of life lost among those with diabetes in Brazil

Background

Given the paucity of studies for low- or middle-income countries, we aim to provide the first ever estimations of lifetime risk of diabetes, years of life spent and lost among those with diabetes for Brazilians. Estimates of Brazil´s diabetes burden consist essentially of reports of diabetes prevalence from national surveys and mortality data. However, these additional metrics are at times more meaningful ways to characterize this burden.

Methods

We joined data on incidence of physician-diagnosed diabetes from the Brazilian risk factor surveillance system, all-cause mortality from national statistics, and diabetes mortality rate ratios from ELSA-Brasil, an ongoing cohort study. To calculate lifetime risk of developing diabetes, we applied an illness-death state model. To calculate years of life lost for those with diabetes and years lived with the disease, we additionally calculated the mortality rates for those with diabetes.

Results

A 35-year-old white adult had a 23.4% (95% CI = 22.5%-25.5%) lifetime risk of developing diabetes by age 80 while a same-aged black/brown adult had a 30.8% risk (95% confidence interval (CI) = 29.6%-33.2%). Men diagnosed with diabetes at age 35 would live 32.9 (95% CI = 32.4-33.2) years with diabetes and lose 5.5 (95% CI = 5.1-6.1) years of life. Similarly-aged women would live 38.8 (95% CI = 38.3-38.9) years with diabetes and lose 2.1 (95% CI = 1.9-2.6) years of life.

Conclusions

Assuming maintenance of current rates, one-quarter of young Brazilians will develop diabetes over their lifetimes, with this number reaching almost one-third among young, black/brown women. Those developing diabetes will suffer a decrease in life expectancy and will generate a considerable cost in terms of medical care.