Racial/Ethnic Disparities in the Prevalence of Diabetes and Prediabetes by BMI: Patient Outcomes Research To Advance Learning (PORTAL) Multisite Cohort of Adults in the U.S

Adipose tissue insulin resistance index was inversely associated with gluteofemoral fat and skeletal muscle mass in Japanese women

Associations of adipose tissue insulin resistance index (AT-IR, a product of fasting insulin and free fatty acids) with body fat mass and distribution and appendicular skeletal muscle mass (ASM) were compared with results of homeostasis-model assessment-insulin resistance (HOMA-IR) in 284 Japanese female university students and 148 their biological mothers whose BMI averaged < 23 kg/m2. Although mothers compared with daughters had higher BMI, body fat percentage, trunk fat to body fat (TF/BF) ratio and lower leg fat to body fat (LF/BF), AT-IR and HOMA-IR did not differ. We had multivariable linear regression analyses which included TF/BF ratio, LF/BF ratio, weight-adjusted ASM (%ASM), height-adjusted ASM index (ASMI), fat mass index (FMI), and body fat percentage. In young women, AT-IR was independently associated with LF/BF ratio (Standardized β [Sβ]: - 0.139, p = 0.019) and ASMI (Sβ: - 0.167, p = 0.005). In middle-aged women, LF/BF ratio (Sβ: - 0.177, p = 0.049) and %ASM (Sβ: - 0.205, p = 0.02) emerged as independent determinants of AT-IR. HOMA-IR was associated with TF/BF ratio and FMI, a proxy of abdominal and general adiposity, respectively, in both young and middle-aged women. The inverse association of AT-IR with leg fat may support the notion that limited peripheral adipose storage capacity and small skeletal muscle size are important etiological components in insulin-resistant cardiometabolic disease in Japanese women.

Racial/ethnic disparities in chronic wounds: Perspectives on linking upstream factors to health outcomes

This review explores the complex relationship between social determinants of health and the biology of chronic wounds associated with diabetes mellitus, with an emphasis on racial/ethnic disparities. Chronic wounds pose significant healthcare challenges, often leading to severe complications for millions of people in the United States, and disproportionally affect African American, Hispanic, and Native American individuals. Social determinants of health, including economic stability, access to healthcare, education, and environmental conditions, likely influence stress, weathering, and nutrition, collectively shaping vulnerability to chronic diseases, such as obesity and DM, and an elevated risk of chronic wounds and subsequent lower extremity amputations. Here, we review these issues and discuss the urgent need for further research focusing on understanding the mechanisms underlying racial/ethnic disparities in chronic wounds, particularly social deprivation, weathering, and nutrition, to inform interventions to address these disparities.

Prediabetes Progression and Reversion: Social Factors and Racial/Ethnic Differences

OBJECTIVE

Racial and ethnic minorities are disproportionately affected by diabetes. Social characteristics, such as family structure, social support, and loneliness, may contribute to these health disparities. In a nationally representative sample of diverse older adults, we evaluated longitudinal rates of both progression from prediabetes to diabetes and reversion from prediabetes to normoglycemia.

RESEARCH DESIGN AND METHODS

Using the longitudinal Health and Retirement Study (2006-2014), our sample included 2625 follow-up intervals with a prediabetes baseline (provided by 2229 individuals). We analyzed 4-year progression and reversion rates using HbA1c and reported presence or absence of physician-diagnosed diabetes. We utilized chi-square and logistic regression models to determine how race/ethnicity and social variables influenced progression or reversion controlling for comorbidities and demographics.

RESULTS

Overall, progression to diabetes was less common than reversion (17% vs. 36%). Compared to Whites, Hispanic/Latino respondents had higher odds of progression to diabetes from prediabetes while Black respondents had lower odds of reversion, adjusting for physical health and demographics. For social variables, Hispanics/Latinos had the highest reliance on and openness with family and the lowest rates of loneliness. The inclusion of social variables in regression models reduced the odds of progression for Hispanics/Latinos but did not alter Black's lower rate of reversion.

CONCLUSIONS

Hispanic/Latinos and Blacks not only had different transition pathways leading to diabetes, but also had different social profiles, affecting Hispanic/Latino progression, but not Black reversion. These differences in the influence of social variables on diabetes risk may inform the design of culturally-specific efforts to reduce disparities in diabetes burden.

Physical Activity, Cardiovascular Status, Mortality, and Prediabetes in Hispanic and Non-Hispanic Adults

Importance

Data are limited on the association of physical activity (PA) with incident cardiovascular disease (CVD) and mortality in prediabetes, especially in racial and ethnic minority groups, including Hispanic and Latino populations.

Objective

To determine the association of PA with incident CVD and mortality by prediabetes status among Hispanic or Latino and non-Hispanic adults.

Design, Setting, and Participants

This cohort study included data from 2 cohorts of adults with prediabetes or normoglycemia who were free of CVD at baseline visit: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) from baseline examination through 2017, with median (IQR) follow-up of 7.8 (7.2-8.5) years, and the Framingham Heart Study (FHS) with non-Hispanic participants from index examination through 2019, with median (IQR) follow-up of 9.6 (8.1-10.7) years. Analyses were conducted between September 1, 2022, and January 10, 2024.

Exposure

The primary exposure was baseline accelerometry-measured moderate to vigorous PA, insufficient vs sufficient to meet 2018 Physical Activity Guidelines for Americans (PAG) in both cohorts; additional accelerometer-measured exposures in HCHS/SOL were steps per day, sedentary behavior, and counts per min.

Main Outcomes and Measures

The outcome was a composite of incident CVD or all-cause mortality, whichever came first.

Results

This cohort study included 13 223 participants: from HCHS/SOL, there were 9456 adults (all self-identified Hispanic or Latino ethnicity; survey-adjusted mean [SD] age, 38.3 [13.9] years, unweighted counts 5673 (60.0%) female; 4882 [51.6%] with normoglycemia; 4574 [48.4%] with prediabetes), and from FHS there were 3767 adults (3623 [96.2%] non-Hispanic and 140 [3.7%] Hispanic or Latino ethnicity, with 4 [0.1%] participants missing ethnicity; mean [SD] age, 54.2 [13.6] years; 2128 (56.5%) female; 2739 [72.7%] with normoglycemia; 1028 [27.3%] with prediabetes). Not meeting PAG was associated with higher risk of the composite outcome among participants with normoglycemia (vs PAG met; hazard ratio [HR], 1.85 [95% CI, 1.12-3.06]), but not among participants with prediabetes (HR, 1.07 [95% CI, 0.72-1.58]). For HCHS/SOL, no statistically significant association was found between the composite outcome and other PA metrics, although estimated HRs tended to be higher for lower activity in the normoglycemia group but not for the prediabetes group (eg, for steps less than vs at least 7000 per day, the HR was 1.58 [95% CI, 0.85-2.93] for normoglycemia vs 1.08 [95% CI 0.67-1.74] for prediabetes). While there was also no association in HCHS/SOL between the composite outcome and sedentary behavior, results were similar in the prediabetes group (HR per 30 minutes per day of sedentary behavior, 1.05 [95% CI 0.99-1.12]) and in the normoglycemia group (HR, 1.07 [95% CI 0.98-1.16]).

Conclusions and Relevance

In this cohort study of US Hispanic or Latino and non-Hispanic adults, lower moderate to vigorous PA levels were associated with CVD or mortality among participants with normoglycemia but not participants with prediabetes. Adults with prediabetes may benefit from reducing sedentary behavior and improving multiple lifestyle factors beyond improving moderate to vigorous PA alone.

Comparison of β-Cell Function and Insulin Sensitivity Between Normal-Weight and Obese Chinese With Young-Onset Type 2 Diabetes

Normal-weight individuals with usual-onset type 2 diabetes have reduced β-cell function and greater insulin sensitivity compared with their obese counterparts. The relative contribution of β-cell dysfunction and insulin resistance to young-onset type 2 diabetes (YOD) among normal-weight individuals is not well established. In 44 individuals with YOD (24 with normal weight and 20 with obesity) and 24 healthy control individuals with normoglycemia (12 with normal weight and 12 with obesity), we conducted 2-h 12 mmol/L hyperglycemic clamps to measure acute (0-10 min) and steady-state (100-120 min) insulin and C-peptide responses, as well as insulin sensitivity index. Normal-weight individuals with YOD had lower acute insulin response, steady-state insulin and C-peptide responses, and a higher insulin sensitivity index compared with their obese counterparts with YOD. Compared with BMI-matched healthy control individuals, normal-weight individuals with YOD had lower acute and steady-state insulin and C-peptide responses but a similar insulin sensitivity index. The impairment of steady-state β-cell response relative to healthy control individuals was more pronounced in normal-weight versus obese individuals with YOD. In conclusion, normal-weight Chinese with YOD exhibited worse β-cell function but preserved insulin sensitivity relative to obese individuals with YOD and BMI-matched healthy individuals with normoglycemia. The selection of glucose-lowering therapy should account for pathophysiological differences underlying YOD between normal-weight and obese individuals.

ARTICLE HIGHLIGHTS

Sustainable Approach to Justice, Equity, Diversity, and Inclusion Through Better Quality Measurement

The US health care industry has broadly adopted performance and quality measures that are extracted from electronic health records and connected to payment incentives that hope to improve declining life expectancy and health status and reduce costs. While the development of a quality measurement infrastructure based on electronic health record data was an important first step in addressing US health outcomes, these metrics, reflecting the average performance across diverse populations, do not adequately adjust for population demographic differences, social determinants of health, or ecosystem vulnerability. Like society as a whole, health care must confront the powerful impact that social determinants of health, race, ethnicity, and other demographic variations have on key health care performance indicators and quality metrics. Tools that are currently available to capture and report the health status of Americans lack the granularity, complexity, and standardization needed to improve health and address disparities at the local level. In this article, we discuss the current and future state of electronic clinical quality measures through a lens of equity.

Perceptions and Experiences of People with Obesity and Type 2 Diabetes Around Appetite and Eating Behaviors: A Qualitative Study

INTRODUCTION

Chronic weight management and treatments for type 2 diabetes (T2D) involve a combination of lifestyle-based (diet, exercise) and pharmaceutical interventions. In people with obesity or T2D, understanding the impact of drivers/triggers on appetite and eating behaviors can be crucial to successful medical management. This study aimed to characterize perceptions and experiences regarding appetite and eating behaviors among people with obesity or T2D and identify drivers/triggers of food choices.

METHODS

This non-interventional, cross-sectional, qualitative study utilized semi-structured concept elicitation interviews to explore the perceptions of people with obesity and/or T2D around appetite, eating behaviors and drivers/triggers of food choices. Adult US residents (≥ 18 years) with stable body weight (± 5 kg) in the 3 months preceding participation were included in the study.

RESULTS

Forty-five participants (obesity: n = 15; overweight: n = 10; T2D: n = 20) were interviewed. Interviews were audio-recorded and transcribed verbatim for analysis. A subset of participants described eating behaviors on smartphone-based app tasks over 5 days. Most (> 96%) discussed the influence of hunger, cravings and satiety on food choices. Participants identified 22 drivers/triggers (including health, 95.6%; culture/heritage, 93.3%; location, 91.1%; stress, 88.8%). Participants also discussed associations between drivers/triggers and eating behavior concepts (appetite, hunger, cravings, satiety, motivation/determination). A conceptual model illustrating eating behavior concepts and related drivers/triggers was developed. The concept elicitation interviews identified a multitude of drivers and triggers and characterized the association of such drivers/triggers with seven core patient-reported concepts encompassing eating behaviors.

CONCLUSION

The findings build upon existing models of factors influencing food choices. Findings confirm prior research regarding impact of drivers/triggers on food choice in people with obesity and T2D and indicate underlying disease state does not appear to influence eating behaviors in people with stable body weight.

A review of air pollution as a driver of cardiovascular disease risk across the diabetes spectrum

The prevalence of diabetes is estimated to reach almost 630 million cases worldwide by the year 2045; of current and projected cases, over 90% are type 2 diabetes. Air pollution exposure has been implicated in the onset and progression of diabetes. Increased exposure to fine particulate matter air pollution (PM2.5) is associated with increases in blood glucose and glycated hemoglobin (HbA1c) across the glycemic spectrum, including normoglycemia, prediabetes, and all forms of diabetes. Air pollution exposure is a driver of cardiovascular disease onset and exacerbation and can increase cardiovascular risk among those with diabetes. In this review, we summarize the literature describing the relationships between air pollution exposure, diabetes and cardiovascular disease, highlighting how airborne pollutants can disrupt glucose homeostasis. We discuss how air pollution and diabetes, via shared mechanisms leading to endothelial dysfunction, drive increased cardiovascular disease risk. We identify portable air cleaners as potentially useful tools to prevent adverse cardiovascular outcomes due to air pollution exposure across the diabetes spectrum, while emphasizing the need for further study in this particular population. Given the enormity of the health and financial impacts of air pollution exposure on patients with diabetes, a greater understanding of the interventions to reduce cardiovascular risk in this population is needed.

Combined low-carbohydrate diet and long-term exercise in hypoxia in type 2 diabetes: A randomized controlled trial protocol to assess glycemic control, cardiovascular risk factors and body composition

Background: Cardiovascular disease is the leading cause of mortality associated with diabetes, which is characterized by chronic hyperglycemia. Low-carbohydrate diet has gained popularity as an intervention in patients with type 2 diabetes mellitus, acting to improve glycemic profile and serum lipids. In its turn, exercise in hypoxia induces specific adaptations, mostly modulated via hypoxia-induced transcription factor signaling cascade, which increases with exposure to altitude, and promotes angiogenesis, glycogen supply, glucose tolerance, and raises GLUT-4 expression. Aim: Given that hyperglycemia decreases HIF-1α and it is better controlled when following a low-carbohydrate diet, this study aims to examine the hypothesis that a combination of both low-carbohydrate diet and chronic exercise in hypoxia in type 2 diabetes mellitus is associated with improved glycemic control and cardiovascular parameters, whose protocol is described. Methods: Patients with type 2 diabetes mellitus (n = 48) will be recruited and randomized into one of the three groups: (a) Control group: Control diet (low-fat and moderate-carbohydrate diet) + exercise in normoxia; (2) exercise in hypoxia group: Control diet + exercise in hypoxia; (3) intervention group: Low-carbohydrate diet (low-carbohydrate and high-fat diet) + exercise in hypoxia. Before and after 8 weeks of interventions, cardiopulmonary tests (Bruce protocol), body composition and blood pressure will be evaluated. Blood samples will be collected to measure hypoxia-induced transcription factor, C-reactive protein, glycemic and lipid profiles. Summary: This will be the first trial to examine the isolated and combined effect of chronic exercise in hypoxia and low-carbohydrate diet in type 2 diabetes mellitus. This trial will help to fill a significant research gap, guide future research and contribute to the combined nutrition and exercise approach to type 2 diabetes mellitus.

Current Perspectives: Obesity and Neurodegeneration - Links and Risks

Obesity is increasing in prevalence across all age groups. Long-term obesity can lead to the development of metabolic and cardiovascular diseases through its effects on adipose, skeletal muscle, and liver tissue. Pathological mechanisms associated with obesity include immune response and inflammation as well as oxidative stress and consequent endothelial and mitochondrial dysfunction. Recent evidence links obesity to diminished brain health and neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD). Both AD and PD are associated with insulin resistance, an underlying syndrome of obesity. Despite these links, causative mechanism(s) resulting in neurodegenerative disease remain unclear. This review discusses relationships between obesity, AD, and PD, including clinical and preclinical findings. The review then briefly explores nonpharmacological directions for intervention.

Attitudes and beliefs about sleep health among a racially and ethnically diverse sample of overweight/obese adults

OBJECTIVES

To identify and compare how sleep-related attitudes and beliefs vary among racially and ethnically diverse adults with risk factors for cardio-metabolic disease.

METHODS

This exploratory qualitative study used online focus group discussions (N = 4 groups among 17 individuals) to collect information about sleep attitudes, beliefs, and practices following participation in the Mindfulness Intervention to Improve Sleep and Reduce Diabetes Risk Among a Diverse Sample in Atlanta (MINDS) study. A rapid analyses approach was used to identify shared themes related to attitudes and beliefs about sleep health and sleep practices across participants.

RESULTS

Participants on average were 31years old, 88% female, and identified as Black/African American (52.9%), White (17.7%), Asian (11.8%), and Hispanic (17.7%). Three themes related to attitudes and beliefs about sleep health were identified: prioritization of sleep to improve one's overall health, re-evaluating sleep needs, and interpersonal barriers to sleep. For Black/African American participants prioritizing sleep was coupled with a want to minimize stress as a long-term health promotion strategy, whereas individuals of other races/ethnicities were more focused on the immediate benefits of getting sufficient sleep. Individuals had reappraised their sleep needs and worked to improve their sleep hygiene accordingly, yet still experienced barriers to sleep. The most common barrier to sleep was sharing a sleep environment with someone who had conflicting sleep routines and practices.

CONCLUSION

The results of this study suggest perceived benefits of and barriers to sleep vary by race/ethnicity, thus future interventions should be culturally tailored to enhance effectiveness.

Pilot study to test the safety, tolerability and feasibility of dulaglutide during a low-energy diet for weight loss and improved glycaemic control

Introduction

Diabetes and obesity are significant public health concerns. Previous studies have demonstrated that low energy diets are effective in promoting weight loss and inducing diabetes remission. However, hunger is a potential barrier to adherence for such diets.Dulaglutide is a glucagon-like peptide receptor agonist used in diabetes treatment. Its use is associated with weight loss, partly through increased satiety. The use of dulaglutide may improve adherence to a low energy diet through a reduction in hunger. We undertook a pilot study to assess the safety, tolerability and feasibility of this combination in individuals with obesity and type 2 diabetes.

Research design and methods

We enrolled individuals with type 2 diabetes and obesity from a tertiary diabetes service in Auckland, New Zealand. Owing to their higher rates of diabetes and poorer diabetes-related health outcomes, we preferentially enrolled Māori and Pacific individuals.Participants underwent 2 weeks of dulaglutide run-in followed by 12 weeks of the combination of dulaglutide and low energy diet. The primary endpoints were the proportion of people successfully completing the dietary intervention and the rates and types of adverse events. Secondary outcomes were changes in weight, glycaemic control, quality of life and biochemical parameters.

Results

The intervention was well tolerated. Mild side effects were common during the first 2 weeks of the intervention but generally improved over the study period. Eighty-nine per cent of participants completed the 12-week dietary intervention. Participants achieved an average weight loss of 9.5 kg and a mean reduction in haemoglobin A1c of 15.8 mmol/mol. Quality of life metrics were unchanged.

Conclusions

We conclude that the combination of dulaglutide and a low energy diet is a feasible and well-tolerated intervention for individuals with diabetes and increased body weight. Future studies could be performed assessing this combination against a low energy diet alone.

Trial registration number

This study was registered with the Australia New Zealand Clinical Trials Registry (ACTRN1262200015279p).

Metformin in the prevention of type 2 diabetes after gestational diabetes in postnatal women (OMAhA): a UK multicentre randomised, placebo-controlled, double-blind feasibility trial with nested qualitative study

OBJECTIVE

To determine the feasibility of a definitive trial of metformin to prevent type 2 diabetes in the postnatal period in women with gestational diabetes.

DESIGN

A multicentre, placebo-controlled, double-blind randomised feasibility trial with qualitative evaluation.

SETTING

Three inner-city UK National Health Service hospitals in London.

PARTICIPANTS

Pregnant women with gestational diabetes treated with medication.

INTERVENTIONS

2 g of metformin (intervention) or placebo (control) from delivery until 1 year postnatally.

PRIMARY OUTCOME MEASURES

Rates of recruitment, randomisation, follow-up, attrition and adherence to the intervention.

SECONDARY OUTCOME MEASURES

Preliminary estimates of glycaemic effects, qualitative exploration, acceptability of the intervention and costs.

RESULTS

Out of 302 eligible women, 57.9% (175/302) were recruited. We randomised 82.3% (144/175) of those recruited, with 71 women in the metformin group and 73 women in the placebo group. Of the participants remaining in the study and providing any adherence information, 54.1% (59/109) took at least 75% of the target intervention dose; the overall mean adherence was 64% (SD 33.6). Study procedures were found to be acceptable to women and healthcare professionals. An increased perceived risk of developing type 2 diabetes, or a positive experience of taking metformin during pregnancy, encouraged participation and adherence to the intervention. Barriers to adherence included disruption to the medication schedule caused by the washout periods ahead of each study visit or having insufficient daily reminders.

CONCLUSIONS

It is feasible to run a full-scale definitive trial on the effectiveness of metformin to prevent type 2 diabetes in women with gestational diabetes, during the early postnatal period. Adherence and engagement with the study could be improved with more regular reminders and potentially the addition of ongoing educational or peer support to reinforce messages around type 2 diabetes prevention.

TRIAL REGISTRATION NUMBER

ISRCTN20930880.

A Synopsis of the Evidence for the Science and Clinical Management of Cardiovascular-Kidney-Metabolic (CKM) Syndrome: A Scientific Statement From the American Heart Association

A growing appreciation of the pathophysiological interrelatedness of metabolic risk factors such as obesity and diabetes, chronic kidney disease, and cardiovascular disease has led to the conceptualization of cardiovascular-kidney-metabolic syndrome. The confluence of metabolic risk factors and chronic kidney disease within cardiovascular-kidney-metabolic syndrome is strongly linked to risk for adverse cardiovascular and kidney outcomes. In addition, there are unique management considerations for individuals with established cardiovascular disease and coexisting metabolic risk factors, chronic kidney disease, or both. An extensive body of literature supports our scientific understanding of, and approach to, prevention and management for individuals with cardiovascular-kidney-metabolic syndrome. However, there are critical gaps in knowledge related to cardiovascular-kidney-metabolic syndrome in terms of mechanisms of disease development, heterogeneity within clinical phenotypes, interplay between social determinants of health and biological risk factors, and accurate assessments of disease incidence in the context of competing risks. There are also key limitations in the data supporting the clinical care for cardiovascular-kidney-metabolic syndrome, particularly in terms of early-life prevention, screening for risk factors, interdisciplinary care models, optimal strategies for supporting lifestyle modification and weight loss, targeting of emerging cardioprotective and kidney-protective therapies, management of patients with both cardiovascular disease and chronic kidney disease, and the impact of systematically assessing and addressing social determinants of health. This scientific statement uses a crosswalk of major guidelines, in addition to a review of the scientific literature, to summarize the evidence and fundamental gaps related to the science, screening, prevention, and management of cardiovascular-kidney-metabolic syndrome.

Temporal Patterns of Diabetes: Analyzing Disease Burden Among Adults Over 18 (2000-2021) Using the U.S. Diabetes Surveillance System (USDDS) Database

Background This study investigates the temporal patterns of diagnosed diabetes cases among adults aged 18 and above in the United States from 2000 to 2021, using data from the U.S. Diabetes Surveillance System (USDDS) database. The study analyzed variations in diagnosed diabetes cases based on gender, age, education, location, and race to provide insights into the changing disease burden over two decades. Methods A retrospective observational design was employed in analyzing data from the USDDS database. The study population comprised adults aged 18 and above with diagnosed diabetes. Descriptive statistical analysis and subgroup comparisons were performed to identify temporal trends and disparities in diagnosed diabetes cases among different demographic groups. Results The study uncovered significant temporal patterns in diagnosed diabetes cases among US adults. Males consistently reported higher diabetes cases (8.44%) than females (7.45%). Variations existed among age groups, with the 65-74 age group having the highest cases (19.69%) and the 18-44 age group having the lowest cases (2.34%). Disparities by race/ethnicity were evident, with non-Hispanic black individuals (11.80%) and Hispanics (11.07%) having the highest percentages, while Asians (7.84%) and whites (6.81%) had lower rates. Distinct temporal patterns emerged based on education levels, with the less than high school education group having the highest cases (11.77%), followed by those with a high school education (8.50%), and the lowest among those with higher than a high school education (6.60%). Conclusion The study has revealed a complex and evolving landscape of this chronic disease. Over these two decades, we observed significant fluctuations, with an overall upward trend in diagnosed diabetes cases. These findings underscore the need for a multifaceted approach to tackle diabetes effectively. Tailored interventions that consider age, gender, education, and geographic location are crucial to addressing the observed disparities in diabetes prevalence.

Asian females without diabetes are protected from obesity-related dysregulation of glucose metabolism compared with males

OBJECTIVE

The impact of obesity on the risk for type 2 diabetes differs between males and females; however, the underlying reasons are unclear. This study aimed to investigate the effect of sex on obesity-driven changes in the mechanisms regulating glucose metabolism (insulin sensitivity and secretion) among Asian individuals without diabetes in Singapore.

METHODS

The study assessed glucose tolerance using oral glucose tolerance test, insulin-mediated glucose uptake using hyperinsulinemic-euglycemic clamp, acute insulin response using an intravenous glucose challenge, and insulin secretion rates in the fasting state and in response to glucose ingestion using mathematical modeling in 727 males and 952 females who had normal body weight (n = 602, BMI < 23 kg/m2 ), overweight (n = 662, 23 ≤ BMI < 27.5), or obesity (n = 415, BMI ≥ 27.5).

RESULTS

There were no sex differences among lean individuals. Obesity gradually worsened metabolic function, and the progressive adverse effects of obesity on insulin action and secretion were more pronounced in males than females, such that among participants with obesity, females had greater insulin sensitivity, lower insulin secretion, and lower fasting insulin concentration than males. The increase in waist to hip ratio with increasing BMI was more pronounced in males than females.

CONCLUSIONS

The female sex exerts a protective effect on obesity-driven dysregulation of glucose metabolism in Asian individuals without diabetes.

Disparities in diabetes prevalence and management by race and ethnicity in the USA: defining a path forward

Type 2 diabetes disparities in the USA persist in both the prevalence of disease and diabetes-related complications. We conducted a literature review related to diabetes prevention, management, and complications across racial and ethnic groups in the USA. The objective of this review is to summarise the current understanding of diabetes disparities by examining differences between and within racial and ethnic groups and among young people (aged <18 years). We also examine the pathophysiology of diabetes as it relates to race and ethnic differences. We use a conceptual framework built on the socioecological model to categorise the causes of diabetes disparities across the lifespan looking at factors in five domains of health behaviours and social norms, public awareness, structural racism, economic development, and access to high-quality care. The range of disparities in diabetes prevalence and management in the USA calls for a community-engaged and multidisciplinary approach that must involve community partners, researchers, practitioners, health system administrators, and policy makers. We offer recommendations for each of these groups to help to promote equity in diabetes prevention and care in the USA.

A Descriptive Review of the Action Mechanisms of Berberine, Quercetin and Silymarin on Insulin Resistance/Hyperinsulinemia and Cardiovascular Prevention

Insulin resistance (IR) and the associated hyperinsulinemia are early pathophysiological changes which, if not well treated, can lead to type 2 diabetes, endothelial dysfunction and cardiovascular disease. While diabetes care is fairly well standardized, the prevention and treatment of IR lacks a single pharmaceutical approach and many lifestyle and dietary interventions have been proposed, including a wide range of food supplements. Among the most interesting and well-known natural remedies, alkaloid berberine and the flavonol quercetin have particular relevance in the literature, while silymarin-the active principle of the Silybum marianum thistle-was traditionally used for lipid metabolism disorders and to sustain liver function. This review describes the major defects of insulin signaling leading to IR and the main properties of the three mentioned natural substances, their molecular targets and synergistic action mechanisms. The actions of berberine, quercetin and silymarin are partially superimposable as remedies against reactive oxygen intermediates generated by a high-lipid diet and by NADPH oxidase, which is triggered by phagocyte activation. Furthermore, these compounds inhibit the secretion of a battery of pro-inflammatory cytokines, modulate intestinal microbiota and are especially able to control the various disorders of the insulin receptor and post-receptor signaling systems. Although most of the evidence on the effects of berberine, quercetin and silymarin in modulating insulin resistance and preventing cardiovascular disease derive from experimental studies on animals, the amount of pre-clinical knowledge strongly suggests the need to investigate the therapeutic potential of these substances in human pathology.

Prevalence of prediabetes and associated factors among community members in rural Isingiro district

BACKGROUND

In rural Uganda a significant number of persons afflicted with pre-diabetes are unaware of the condition. This is likely to lead to diabetic complications resulting in catastrophic health expendirure.The burden of prediabetes in rural Isingiro has not previously been determined. This study examined the prevalence of prediabetes and the associated factors among rural community members.

METHODS

We conducted a cross-sectional survey and enrolled 370 participants aged between 18 and 70 years in the Kabuyanda sub-county, rural Isingiro district in march 2021. Multistage sampling and systematic random sampling were conducted to select eligible households. Data was collected using a pretested WHO STEP-wise protocol questionnaire. The primary outcome was prediabetes (FBG = 6.1mmol/l to 6.9mmol/l), calculated as a proportion. Participants known to be diabetic or on medication were excluded. Chi-square tests and multivariate logistic regression model were performed for data analysis using STATA.

RESULTS

The prevalence of prediabetes was 9.19% (95% CI 6.23-12.14). Independent factors significantly associated with pre-diabetes were; advancing age [AOR = 5.7, 95% CI:1.03-32.30], moderate-intensity work [AOR = 2.6,95% CI:1.23-5.63], high level of consumption of a healthy diet [AOR = 5.7, 95% CI:1.67-19.05] and body mass index [AOR = 3.7, 95% CI:1.41-9.20].

CONCLUSION

Prediabetes is prevalent among adult community members in rural Isingiro, southwestern Uganda. Age and lifestyle factors predict prediabetes in this rural population, suggesting a need for targeted health promotion interventions.

Association between serum leptin concentrations and homeostasis model assessment-insulin resistance of 2.5 and higher in normal weight Japanese women

Normal weight insulin resistant phenotype was characterized in 251 Japanese female university students using homeostasis model assessment-insulin resistance. Birth weight, body composition at age 20, cardiometabolic traits and dietary intake were compared cross-sectionally between insulin sensitive (< 1.6, n = 194) and insulin resistant (2.5 and higher, n = 16) women. BMI averaged < 21 kg/m² and waist < 72 cm and did not differ between two groups. The percentage of macrosomia and serum absolute and fat-mass corrected leptin concentrations were higher in insulin resistant women although there was no difference in birth weight, fat mass index, trunk/leg fat ratio and serum adiponectin. In addition, resting pulse rate, serum concentrations of free fatty acids, triglycerides and remnant-like particle cholesterol were higher in insulin resistant women although HDL cholesterol and blood pressure did not differ. In multivariate logistic regression analyses, serum leptin (odds ratio:1.68, 95% confidential interval:1.08-2.63, p = 0.02) was associated with normal weight insulin resistance independently of macrosomia, free fatty acids, triglycerides, remnant-like particle cholesterol and resting pulse rate. In conclusion, normal weight IR phenotype may be associated with increased plasma leptin concentrations and leptin to fat mass ratio in young Japanese women, suggesting higher leptin production by body fat unit.

Non-Alcoholic Fatty Liver Disease or Type 2 Diabetes Mellitus—The Chicken or the Egg Dilemma

In clinical practice, we often deal with patients who suffer from non-alcoholic fatty liver disease (NAFLD) concurrent with type 2 diabetes mellitus (T2DM). The etiopathogenesis of NAFLD is mainly connected with insulin resistance (IR) and obesity. Similarly, the latter patients are in the process of developing T2DM. However, the mechanisms of NAFLD and T2DM coexistence have not been fully elucidated. Considering that both diseases and their complications are of epidemic proportions and significantly affect the length and quality of life, we aimed to answer which of these diseases appears first and thereby highlight the need for their diagnosis and treatment. To address this question, we present and discuss the epidemiological data, diagnoses, complications and pathomechanisms of these two coexisting metabolic diseases. This question is difficult to answer due to the lack of a uniform procedure for NAFLD diagnosis and the asymptomatic nature of both diseases, especially at their beginning stages. To conclude, most researchers suggest that NAFLD appears as the first disease and starts the sequence of circumstances leading ultimately to the development of T2DM. However, there are also data suggesting that T2DM develops before NAFLD. Despite the fact that we cannot definitively answer this question, it is very important to bring the attention of clinicians and researchers to the coexistence of NAFLD and T2DM in order to prevent their consequences.

Mitigating the health effects of systemic racism: Evaluation of the Race-Based Stress and Trauma Empowerment intervention

BACKGROUND

Disparities in physical and mental health among Black, Indigenous, and People of Color (BIPOC) are well-documented and mirrored in the Veteran population. Chronic stress due to racism and discrimination is one possible mechanism driving these negative health outcomes. The Race-Based Stress and Trauma Empowerment (RBSTE) group is a novel, manualized, health promotion intervention designed to address the direct and indirect impacts of racism among Veterans of Color. This paper describes the protocol of the first pilot randomized controlled trial (RCT) of RBSTE. This study will examine the feasibility, acceptability, and appropriateness of RBSTE compared to an active control (an adaptation of Present-Centered Therapy; PCT) in a Veterans Affairs (VA) healthcare setting. A secondary aim is to identify and optimize strategies for holistic evaluation.

METHODS

Veterans of Color (N = 48) endorsing perceived discrimination and stress will be randomized to RBSTE or PCT; both groups will be delivered in 8 weekly, 90-min virtual group sessions. Outcomes will include measures of psychological distress, discrimination and ethnoracial identity, holistic wellness, and allostatic load. Measures will be administered at baseline and post-intervention.

CONCLUSION

This study will inform future interventions targeting identity-based stressors and represents an important step in advancing equity for BIPOC in medicine and research.

CLINICAL TRIAL REGISTRATION NUMBER

NCT05422638.

Five-year morbidity and mortality rates in a U.S. population with obesity with and without prediabetes

AIMS

This research examines the prevalence of morbidity and mortality among people with obesity with or without prediabetes.

METHODS

This observational study uses Optum® Market Clarity deidentified data from 2007 to 2020. Individuals with obesity without prediabetes (obesity only) were matched 1:1 to adults with prediabetes plus obesity based upon age, sex, race, ethnicity, and region. Age and sex adjusted prevalence rates and 95 % CIs were calculated for morbidity and mortality for each 365-day period post index date and over the entire 5-year post-period.

RESULTS

After 5-years, the adjusted mortality rate was 10.1 % for adults with obesity plus prediabetes and 6.9 % for adults with obesity only (p < 0.05). Five years post index date, the prevalence of type 2 diabetes was 25.3 % for people with obesity plus prediabetes and 9.2 % for people with obesity only (p < 0.05). Prevalence rates after 5 years for atherosclerotic cardiovascular disease (13.1 % v 8.1 %), composite cardiovascular outcome (7.0 % v 4.4 %) and composite cardio-renal outcome (8.9 % v 5.0 %) were significantly higher for adults with obesity plus prediabetes compared to adults with obesity only (all p < 0.05).

CONCLUSIONS

Results of this study indicate that the presence of prediabetes contributes to the development of additional morbidity and mortality in adults with obesity.

Obesity among Latinx people in the United States: A review

Obesity is a serious, chronic disease that is associated with a range of adiposity-based comorbidities, including cardiovascular disease, type 2 diabetes, and nonalcoholic fatty liver disease. In the United States, obesity is a public health crisis, affecting more than 40% of the population. Obesity disproportionately affects Latinx people, who have a higher prevalence of obesity and related comorbidities (such as cardiovascular disease, type 2 diabetes, and nonalcoholic fatty liver disease) compared with the general population. Many factors, including genetic predisposition, environmental factors, traditional calorie-dense Latinx diets, family dynamics, and differences in socioeconomic status, contribute to the increased prevalence and complexity of treating obesity in the Latinx population. Additionally, significant heterogeneity within the Latinx population and disparities in health care access and utilization between Latinx people and the general population add to the challenge of obesity management. Culturally tailored interventions have been successful for managing obesity and related comorbidities in Latinx people. Antiobesity medications and bariatric surgery are also important options for obesity treatment in Latinx people. As highlighted in this review, when managing obesity in the Latinx population, it is critical to consider the impact of genetic, dietary, cultural, and socioeconomic factors, in order to implement an individualized treatment strategy.

Prevalence of type 2 diabetes risk factors, including overweight and obesity, among youth attending hospital-based paediatric care in Western Melbourne

AIM

To determine the prevalence of risk factors for type 2 diabetes in overweight and obese adolescents attending hospital-based paediatric care in Western Melbourne.

METHODS

One hundred overweight and obese adolescents (aged 10-17 years) who attended an outpatient clinic at Sunshine Hospital between May 2019 and May 2020 were randomly selected following a retrospective chart review of 10-17 years old for whom a height and weight had been documented. Additional risk factors for type 2 diabetes were ascertained via structured telephone interview. Data were analysed to determine the overall prevalence of risk factors for type 2 diabetes, and to evaluate for associations between each parameter with body mass index and the number of risk factors.

RESULTS

Of the 487 adolescents who had height and weight data recorded, 45% were overweight or obese. 77% of those who were interviewed had an additional risk factor for type 2 diabetes. No association between the number of risk factors and body mass index standard deviation score was found. Additionally, there was no association between the number of risk factors for type 2 diabetes and either family history of type 2 diabetes or ethnicity.

CONCLUSIONS

This paediatric subpopulation had a high rate of risk factors for type 2 diabetes in addition to overweight and obesity, and are at risk of premature mortality and chronic morbidity should they develop type 2 diabetes.

Cardiometabolic Risk in Asian Americans by Social Determinants of Health: Serial Cross-sectional Analyses of the NHIS, 1999-2003 to 2014-2018

BACKGROUND

Diabetes and hypertension are common in Asian Americans and vary by subgroup. There may be further variation by social determinants of health (SDOHs), but few studies have examined this previously.

OBJECTIVE

To examine the associations of SDOHs and diabetes and hypertension within and across Asian subgroups in the USA DESIGN: Series cross-sectional analyses SETTING: National Health Interview Surveys (NHIS) from 1999 to 2018 PARTICIPANTS: Asian-American adults (Chinese, Filipino, Asian Indian, and Other Asian [Korean, Vietnamese, Japanese, and other]) MEASUREMENTS: Self-reported diabetes and hypertension prevalence in pooled 5-year increments over 1999-2018 and multivariable regression models to assess the adjusted prevalence of diabetes or hypertension by poverty, marital status, education, and years in the USA, adjusting for age, sex, BMI, and health insurance status RESULTS: From 1999-2003 to 2014-2018, the age- and sex-adjusted prevalence of diabetes increased for Other Asians (absolute change: 4.6%) but not for other subgroups; age- and sex-adjusted hypertension prevalence significantly increased for Asian Indians and Other Asians (absolute change: 5-7.5%). For Filipinos, high school education or less was associated with an increase in diabetes prevalence over time (difference from 1999-2003 to 2014-2018: +6.0 (95% CI: 2.0-10.0)), while for Asian Indians, college education or higher was associated with an increase in diabetes prevalence for the same period (difference: +2.7 (95% CI: 0.01-5.4). Differences over the 2 time periods (1999-2003 and 2014-2018) show that Filipino and Other Asians, who lived in the USA for ≥10 years, increased in diabetes prevalence. Similar variations in associations of SDOHs by Asian subgroup were seen for hypertension.

LIMITATIONS

Self-reported primary outcomes and multi-year data were pooled due to small sample sizes.

CONCLUSIONS

The influence of SDOHs on cardiometabolic risk is not uniform among Asian Americans, implying tailored strategies may be needed for different population subgroups.

PRIMARY FUNDING SOURCE

NIH.

Effect of aerobic exercise and low-carbohydrate high-fat diet on glucose tolerance and android/gynoid fat in overweight/obese women: A randomized controlled trial

The study was designed to compare the effects of weight loss induced by a low-carbohydrate-high-fat diet or a normal diet, with and without exercise, on glucose tolerance measured as area under the curve (AUC), and android (A) and gynoid (G) fat distribution. The study was registered at clinicaltrials.gov; NCT04100356. In total, 57 women classified as overweight or obese (age 40 ± 3.5 years, body mass index 31.1 ± 2.6 kg/m²) were randomly assigned and completed a 10-week intervention using a low-carbohydrate high-fat diet or a normal diet, with or without aerobic interval exercise. An equal deficit of 700 kcal/day was prescribed, either restricting the diet only, or moderately restricting diet and including three 50-min high-intensity bicycle sessions per week. There were thus four groups: normal diet (NORM); low-carbohydrate-high-fat diet (LCHF); normal diet with exercise (NORM-EX); and low-carbohydrate-high-fat diet with exercise (LCHF-EX). Linear mixed models was used to assess differences between groups. With all groups pooled, the intervention resulted in a weight loss of 6.7 ± 2.5% (p < 0.001). The intervention did not result in differences between groups in AUC glucose, nor in fasting glucose or indicis for insulin resistance such as Homeostatic Model Assessment, Matsuda Insulin Sensitivity Index, insulinogenic index and disposition index. Post-intervention android fat was lower in LCHF than NORM (3,223 ± 727 vs. 2,533 ± 535 g, p = 0.041). LCHF reached a lower A/G ratio than NORM (0.94 ± 0.12 vs. 1.04 ± 0.09, p = 0.011) and LCHF-EX (0.94 ± 0.12 vs. 1.09 ± 0.09, p < 0.001) after the intervention. LCHF resulted in lower android fat mass compared to NORM and the lowest A/G ratio compared to the other matched groups, but with no accompanying improvement in AUC glucose. In conclusion, although all groups achieved improvements in glucose tolerance, no superior effect was observed with the LCHF diet, neither with nor without exercise.

Materials and Methods for Recruiting Systematically Marginalized Youth and Families for Weight-Management Intervention Trials: Community Stakeholders' Perspectives

Rates of overweight and obesity are problematic among systematically marginalized youth; however, these youth and their families are a hard-to-reach research population. The purpose of our study was to identify facilitators and barriers for recruiting systematically marginalized families in youth weight-management intervention research. This study built upon existing evidence through involvement of youth, parents, community agency workers, and school nurses, and an exploration of both recruitment materials and processes. Seven focus groups were conducted with 48 participants from 4 stakeholder groups (youth, parents, school nurses, and community agency workers). A codebook approach to thematic analysis was used to identify key facilitator and barrier themes related to recruitment materials and processes across the stakeholder groups. Ecological systems theory was applied to contextualize the facilitators and barriers identified. Participants reported the need to actively recruit youth in the study through engaging, fun recruitment materials and processes. Participants reported greater interest in recruitment at community-based events, as compared to recruitment through health care providers, underscoring the depth of distrust that this sample group has for the health care system. Recommendations for recruitment materials and processes for weight-management intervention research with systematically marginalized families are proposed.

Quantifying the contribution of 31 risk factors to the increasing prevalence of diabetes among US adults, 2005-2018

Introduction

No study has comprehensively quantified the individual and collective contributions of various risk factors to the growing burden of diabetes in the United States.

Methods

This study aimed to determine the extent to which an increase in the prevalence of diabetes was related to concurrent changes in the distribution of diabetes-related risk factors among US adults (aged 20 years or above and not pregnant). Seven cycles of series of cross-sectional National Health and Nutrition Examination Survey data between 2005-2006 and 2017-2018 were included. The exposures were survey cycles and seven domains of risk factors, including genetic, demographic, social determinants of health, lifestyle, obesity, biological, and psychosocial domains. Using Poisson regressions, percent reduction in the β coefficient (the logarithm used to calculate the prevalence ratio for prevalence of diabetes in 2017-2018 vs. 2005-2006) was computed to assess the individual and collective contribution of the 31 prespecified risk factors and seven domains to the growing burden of diabetes.

Results

Of the 16,091 participants included, the unadjusted prevalence of diabetes increased from 12.2% in 2005-2006 to 17.1% in 2017-2018 [prevalence ratio: 1.40 (95% CI, 1.14-1.72)]. Individually, genetic domain [17.3% (95% CI, 5.4%-40.8%)], demographic domain [41.5% (95% CI, 24.4%-76.8%)], obesity domain [35.3% (95% CI, 15.8%-70.2%)], biological domain [46.2% (95% CI, 21.6%-79.1%)], and psychosocial domain [21.3% (95% CI, 9.5%-40.1%)] were significantly associated with a different percent reduction in β. After adjusting for all seven domains, the percent reduction in β was 97.3% (95% CI, 62.7%-164.8%).

Conclusion

The concurrently changing risk factors accounted for the increasing diabetes prevalence. However, the contribution of each risk factor domain varied. Findings may inform planning cost-effective and targeted public health programs for diabetes prevention.

Identifying Patients at Risk for Fibrosis in a Primary Care NAFLD Cohort

GOALS AND BACKGROUND

Using natural language processing to create a nonalcoholic fatty liver disease (NAFLD) cohort in primary care, we assessed advanced fibrosis risk with the Fibrosis-4 Index (FIB-4) and NAFLD Fibrosis Score (NFS) and evaluated risk score agreement.

MATERIALS AND METHODS

In this retrospective study of adults with radiographic evidence of hepatic steatosis, we calculated patient-level FIB-4 and NFS scores and categorized them by fibrosis risk. Risk category and risk score agreement was analyzed using weighted κ, Pearson correlation, and Bland-Altman analysis. A multinomial logistic regression model evaluated associations between clinical variables and discrepant FIB-4 and NFS results.

RESULTS

Of the 767 patient cohorts, 71% had a FIB-4 or NFS score in the indeterminate-risk or high-risk category for fibrosis. Risk categories disagreed in 43%, and scores would have resulted in different clinical decisions in 30% of the sample. The weighted κ statistic for risk category agreement was 0.41 [95% confidence interval (CI): 0.36-0.46] and the Pearson correlation coefficient for log FIB-4 and NFS was 0.66 (95% CI: 0.62-0.70). The multinomial logistic regression analysis identified black race (odds ratio=2.64, 95% CI: 1.84-3.78) and hemoglobin A1c (odds ratio=1.37, 95% CI: 1.23-1.52) with higher odds of having an NFS risk category exceeding FIB-4.

CONCLUSIONS

In a primary care NAFLD cohort, many patients had elevated FIB-4 and NFS risk scores and these risk categories were often in disagreement. The choice between FIB-4 and NFS for fibrosis risk assessment can impact clinical decision-making and may contribute to disparities of care.

Evolution of the diagnostic value of "the sugar of the blood": hitting the sweet spot to identify alterations in glucose dynamics

In this paper, we provide an overview of the evolution of the definition of hyperglycemia during the past century and the alterations in glucose dynamics that cause fasting and postprandial hyperglycemia. We discuss how extensive mechanistic, physiological research into the factors and pathways that regulate the appearance of glucose in the circulation and its uptake and metabolism by tissues and organs has contributed knowledge that has advanced our understanding of different types of hyperglycemia, namely prediabetes and diabetes and their subtypes (impaired fasting plasma glucose, impaired glucose tolerance, combined impaired fasting plasma glucose, impaired glucose tolerance, type 1 diabetes, type 2 diabetes, gestational diabetes mellitus), their relationships with medical complications, and how to prevent and treat hyperglycemia.

Current Knowledge on the Pathophysiology of Lean/Normal-Weight Type 2 Diabetes

Since early times, being overweight and obesity have been associated with impaired glucose metabolism and type 2 diabetes (T2D). Similarly, a less frequent adult-onset diabetes in low body mass index (BMI) people has been known for many decades. This form is mainly found in developing countries, whereby the largest increase in diabetes incidence is expected in coming years. The number of non-obese patients with T2D is also on the rise among non-white ethnic minorities living in high-income Western countries due to growing migratory flows. A great deal of energy has been spent on understanding the mechanisms that bind obesity to T2D. Conversely, the pathophysiologic features and factors driving the risk of T2D development in non-obese people are still much debated. To reduce the global burden of diabetes, we need to understand why not all obese people develop T2D and not all those with T2D are obese. Moreover, through both an effective prevention and the implementation of an individualized clinical management in all people with diabetes, it is hoped that this will help to reduce this global burden. The purpose of this review is to take stock of current knowledge about the pathophysiology of diabetes not associated to obesity and to highlight which aspects are worthy of future studies.

Exercise training after myocardial infarction increases survival but does not prevent adverse left ventricle remodeling and dysfunction in high-fat diet fed mice

AIMS

Aerobic exercise is an important component of rehabilitation after cardiovascular injuries including myocardial infarction (MI). In human studies, the beneficial effects of exercise after an MI are blunted in patients who are obese or glucose intolerant. Here, we investigated the effects of exercise on MI-induced cardiac dysfunction and remodeling in mice chronically fed a high-fat diet (HFD).

MAIN METHODS

C57Bl/6 male mice were fed either a standard (Chow; 21% kcal/fat) or HFD (60% kcal/fat) for 36 weeks. After 24 weeks of diet, the HFD mice were randomly subjected to an MI (MI) or a sham surgery (Sham). Following the MI or sham surgery, a subset of mice were subjected to treadmill exercise.

KEY FINDINGS

HFD resulted in obesity and glucose intolerance, and this was not altered by exercise or MI. MI resulted in decreased ejection fraction, increased left ventricle mass, increased end systolic and diastolic diameters, increased cardiac fibrosis, and increased expression of genes involved in cardiac hypertrophy and heart failure in the MI-Sed and MI-Exe mice. Exercise prevented HFD-induced cardiac fibrosis in Sham mice (Sham-Exe) but not in MI-Exe mice. Exercise did, however, reduce post-MI mortality.

SIGNIFICANCE

These data indicate that exercise significantly increased survival after MI in a model of diet-induced obesity independent of effects on cardiac function. These data have important translational ramifications because they demonstrate that environmental interventions, including diet, need to be carefully evaluated and taken into consideration to support the effects of exercise in the cardiac rehabilitation of patients who are obese.

Detailed Versus Simplified Dietary Self-monitoring in a Digital Weight Loss Intervention Among Racial and Ethnic Minority Adults: Fully Remote, Randomized Pilot Study

BACKGROUND

Detailed self-monitoring (or tracking) of dietary intake is a popular and effective weight loss approach that can be delivered via digital tools, although engagement declines over time. Simplifying the experience of self-monitoring diet may counteract this decline in engagement. Testing these strategies among racial and ethnic minority groups is important as these groups are often disproportionately affected by obesity yet underrepresented in behavioral obesity treatment.

OBJECTIVE

In this 2-arm pilot study, we aimed to evaluate the feasibility and acceptability of a digital weight loss intervention with either detailed or simplified dietary self-monitoring.

METHODS

We recruited racial and ethnic minority adults aged ≥21 years with a BMI of 25 kg/m² to 45 kg/m² and living in the United States. The Pacific time zone was selected for a fully remote study. Participants received a 3-month stand-alone digital weight loss intervention and were randomized 1:1 to either the detailed arm that was instructed to self-monitor all foods and drinks consumed each day using the Fitbit mobile app or to the simplified arm that was instructed to self-monitor only red zone foods (foods that are highly caloric and of limited nutritional value) each day via a web-based checklist. All participants were instructed to self-monitor both steps and body weight daily. Each week, participants were emailed behavioral lessons, action plans, and personalized feedback. In total, 12 a priori benchmarks were set to establish feasibility, including outcomes related to reach, retention, and self-monitoring engagement (assessed objectively via digital tools). Acceptability was assessed using a questionnaire. Weight change was assessed using scales shipped to the participants' homes and reported descriptively.

RESULTS

The eligibility screen was completed by 248 individuals, of whom 38 (15.3%) were randomized, 18 to detailed and 20 to simplified. At baseline, participants had a mean age of 47.4 (SD 14.0) years and BMI of 31.2 (SD 4.8) kg/m². More than half (22/38, 58%) were identified as Hispanic of any race. The study retention rate was 92% (35/38) at 3 months. The detailed arm met 9 of 12 feasibility benchmarks, while the simplified arm met all 12. Self-monitoring engagement was moderate to high (self-monitoring diet: median of 49% of days for detailed, 97% for simplified; self-monitoring steps: 99% for detailed, 100% for simplified; self-monitoring weight: 67% for detailed, 80% for simplified). Participants in both arms reported high satisfaction, with 89% indicating that they would recommend the intervention. Weight change was -3.4 (95% CI -4.6 to -2.2) kg for detailed and -3.3 (95% CI -4.4 to -2.2) kg for simplified.

CONCLUSIONS

A digital weight loss intervention that incorporated either detailed or simplified dietary self-monitoring was feasible, with high retention and engagement, and acceptable to racial and ethnic minority adults.

TRIAL REGISTRATION

ASPREDICTED #66674; https://aspredicted.org/ka478.pdf.

Engaging Community Health Centers to understand their perceptions and interest in longitudinal cohort research on diabetes mellitus in Native Hawaiian communities: Initial insights from the Waimānalo community

Introduction

Despite decades of research on diabetes mellitus (DM) and other health disparities affecting Native Hawaiian and Pacific Islander (NHPI) populations, little is known about the disease mechanisms that underlie these health disparities. Ideally, a longitudinal cohort study is one of the best research design tools to examine underlying mechanisms of disease in health disparity conditions such as DM. The study purpose is to understand the perspectives and insights of people (n = 29) living in NHPI communities about conducting longitudinal cohort studies aimed at understanding mechanisms of health disparities in NHPI populations.

Methods

All interviews were audio-recorded, transcribed and de-identified into written transcripts for thematic content analysis.

Results

Four major themes emerged: 1) Diabetes and other health disparities is a community priority because these diseases touch nearly everyone; 2) Cohort-type research and its outcomes should extend beyond data collection to include data sharing using a cultural context approach; 3) Cohort-type research can directly benefit everyone, especially youth, through education on new, locally-derived knowledge; 4) A longterm benefit of cohort-type research should be to support "generational change" in the community.

Discussion

In summary, potential "cohort-type research" (a.k.a. longitudinal cohort study designs) was perceived as a worthy endeavor because health disparities, such as DM, affects nearly everyone in the community. Cohort-type research is important to NHPI communities as it holds promise for impacting "generational change" on health and wellbeing through the sharing of new community-derived knowledge.

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.

Nontargeted and Targeted Metabolomic Profiling Reveals Novel Metabolite Biomarkers of Incident Diabetes in African Americans

Nontargeted metabolomics methods have increased potential to identify new disease biomarkers, but assessments of the additive information provided in large human cohorts by these less biased techniques are limited. To diversify our knowledge of diabetes-associated metabolites, we leveraged a method that measures 305 targeted or "known" and 2,342 nontargeted or "unknown" compounds in fasting plasma samples from 2,750 participants (315 incident cases) in the Jackson Heart Study (JHS)-a community cohort of self-identified African Americans-who are underrepresented in omics studies. We found 307 unique compounds (82 known) associated with diabetes after adjusting for age and sex at a false discovery rate of <0.05 and 124 compounds (35 known, including 11 not previously associated) after further adjustments for BMI and fasting plasma glucose. Of these, 144 and 68 associations, respectively, replicated in a multiethnic cohort. Among these is an apparently novel isomer of the 1-deoxyceramide Cer(m18:1/24:0) with functional geonomics and high-resolution mass spectrometry. Overall, known and unknown metabolites provided complementary information (median correlation ρ = 0.29), and their inclusion with clinical risk factors improved diabetes prediction modeling. Our findings highlight the importance of including nontargeted metabolomics methods to provide new insights into diabetes development in ethnically diverse cohorts.

Prevalence of prediabetes and diabetes vary by ethnicity among U.S. Asian adults at healthy weight, overweight, and obesity ranges: an electronic health record study

BACKGROUND

Asian adults develop Type 2 diabetes at a lower body mass index (BMI) compared to other racial/ethnic groups. We examined the variation in prevalence of prediabetes and diabetes among Asian ethnic groups within weight strata by comparing middle-aged Chinese, Filipino, South Asian, and White adults receiving care in the same integrated healthcare delivery system.

METHODS

Our retrospective cross-sectional U.S. study examined data from 283,110 (non-Hispanic) White, 33,263 Chinese, 38,766 Filipino, and 17,959 South Asian adults aged 45-64 years who were members of a Northern California health plan in 2016 and had measured height and weight. Prediabetes and diabetes were classified based on laboratory data, clinical diagnoses, or diabetes pharmacotherapy. Age-standardized prevalence of prediabetes and diabetes were compared by race/ethnicity within healthy weight, overweight, and obesity categories, using standard BMI thresholds for White adults (18.5 to < 25, 25 to < 30, ≥ 30 kg/m2) and lower BMI thresholds for Asian adults (18.5 to < 23, 23 to < 27.5, ≥ 27.5 kg/m2). Prevalence ratios (PRs) were used to compare the prevalence of diabetes and prediabetes for Asian groups to White adults in each weight category, adjusted for age and BMI.

RESULTS

Across all weight categories, diabetes prevalence was higher for Asian than White adults, and among Asian groups it was highest for Filipino and South Asian adults. Compared to White, PRs for South Asian men/women at healthy BMI were 1.8/2.8 for prediabetes and 5.9/8.0 for diabetes, respectively. The PRs for Filipino men/women at healthy BMI were 1.8/2.6 for prediabetes and 5.0/7.5 for diabetes, respectively. For Chinese men/women at healthy BMI, the PRs for prediabetes (2.1/2.9) were similar to Filipino and South Asian, but the PRs for diabetes were lower (2.1/3.4).

CONCLUSION

Chinese, Filipino, and South Asian adults have higher prevalence of prediabetes and diabetes than White adults in all weight categories, despite using lower BMI thresholds for weight classification in Asian groups. Within Asian ethnic groups, Filipino and South Asian adults had considerably higher diabetes prevalence than Chinese adults. Our data emphasize the disproportionate metabolic risk among middle-aged Asian adults and underscore the need for diabetes screening among high-risk Asian groups at healthy BMI levels.

Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes

INTRODUCTION

Disentangling the specific factors that regulate glycemia from prediabetes to normoglycemia could improve type 2 diabetes prevention strategies. Metabolomics provides substantial insights into the biological understanding of environmental factors such as diet. This study aimed to identify metabolomic markers of regression to normoglycemia in the context of a lifestyle intervention (LSI) in individuals with prediabetes.

RESEARCH DESIGN AND METHODS

We conducted a single-arm intervention study with 24 weeks of follow-up. Eligible study participants had at least one prediabetes criteria according to the American Diabetes Association guidelines, and body mass index between 25 and 45 kg/m². LSI refers to a hypocaloric diet and >150 min of physical activity per week. Regression to normoglycemia (RNGR) was defined as achieving hemoglobin A1c (HbA1c) <5.5% in the final visit. Baseline and postintervention plasma metabolomic profiles were measured using liquid chromatography-tandem mass spectrometry. To select metabolites associated with RNGR, we conducted the least absolute shrinkage and selection operator-penalized regressions.

RESULTS

The final sample was composed of 82 study participants. Changes in three metabolites were significantly associated with regression to normoglycemia; N-acetyl-D-galactosamine (OR=0.54; 95% CI 0.32 to 0.82), putrescine (OR=0.90, 95% CI 0.81 to 0.98), and 7-methylguanine (OR=1.06; 95% CI 1.02 to 1.17), independent of HbA1c and weight loss. In addition, metabolomic perturbations due to LSI displayed enrichment of taurine and hypotaurine metabolism pathway (p=0.03) compatible with biomarkers of protein consumption, lower red meat and animal fats and higher seafood and vegetables.

CONCLUSIONS

Evidence from this study suggests that specific metabolomic markers have an influence on glucose regulation in individuals with prediabetes after 24 weeks of LSI independently of other treatment effects such as weight loss.

Twenty-year trends in racial and ethnic enrollment in large diabetes randomized controlled trials

BACKGROUND

Lack of representativeness in Black, Indigenous, and People of Colour (BIPOC) enrollment could compromise the generalizability of study results and health equity. This study aimed to examine trends in BIPOC groups enrollment in diabetes randomized controlled trials (RCTs) and to explore the association between trial factors and high-enrollment of BIPOC groups.

METHODS

We systematically searched the literature on large diabetes RCTs with a sample size of ≥ 400 participants published between 2000 and 2020. We assessed temporal trends in enrollment of racial and ethnic groups in the included trials. Logistic and linear regression analyses were used to explore the relationship between trial factors and the high-enrollment defined by median enrollment rate.

RESULTS

A total of 405 RCTs were included for analyses. The median enrollment rate of BIPOC groups was 24.0%, with 6.4% for the Black group, 11.2% for Hispanic, 8.5% for Asian, and 3.0% for other BIPOC groups respectively. Over the past 20 years, the BIPOC enrollment showed an increased trend in the diabetes RCTs, ranging from 20.1 to 28.4% (P for trend = 0.041). A significant trend towards increased enrollment for Asian group was observed. We found that weekly or daily intervention frequency (OR = 0.48, 95% CI: 0.26, 0.91) and duration of intervention > 6.5 month (OR = 0.59, 95% CI: 0.37, 0.95) were significantly related to decreased odds of high-enrollment, while type 2 diabetes (OR = 1.44, 95% CI: 1.04, 1.99) was associated with high-enrollment of BIPOC groups.

CONCLUSIONS

The enrollment of BIPOC was found to increase in large diabetes RCTs over the past two decades; some trial factors may be significantly associated with BIPOC enrollment. These findings may highlight the importance of enrollment of BIPOC groups and provide insights into the design and implementation of future clinical trials in diabetes.

The evolving view of thermogenic fat and its implications in cancer and metabolic diseases

The incidence of metabolism-related diseases like obesity and type 2 diabetes mellitus has reached pandemic levels worldwide and increased gradually. Most of them are listed on the table of high-risk factors for malignancy, and metabolic disorders systematically or locally contribute to cancer progression and poor prognosis of patients. Importantly, adipose tissue is fundamental to the occurrence and development of these metabolic disorders. White adipose tissue stores excessive energy, while thermogenic fat including brown and beige adipose tissue dissipates energy to generate heat. In addition to thermogenesis, beige and brown adipocytes also function as dynamic secretory cells and a metabolic sink of nutrients, like glucose, fatty acids, and amino acids. Accordingly, strategies that activate and expand thermogenic adipose tissue offer therapeutic promise to combat overweight, diabetes, and other metabolic disorders through increasing energy expenditure and enhancing glucose tolerance. With a better understanding of its origins and biological functions and the advances in imaging techniques detecting thermogenesis, the roles of thermogenic adipose tissue in tumors have been revealed gradually. On the one hand, enhanced browning of subcutaneous fatty tissue results in weight loss and cancer-associated cachexia. On the other hand, locally activated thermogenic adipocytes in the tumor microenvironment accelerate cancer progression by offering fuel sources and is likely to develop resistance to chemotherapy. Here, we enumerate current knowledge about the significant advances made in the origin and physiological functions of thermogenic fat. In addition, we discuss the multiple roles of thermogenic adipocytes in different tumors. Ultimately, we summarize imaging technologies for identifying thermogenic adipose tissue and pharmacologic agents via modulating thermogenesis in preclinical experiments and clinical trials.

A Customized Electronic Health Record-Based Tool Highlights and Addresses Gaps in Patient Safety

The authors present a tool to improve gaps in patient safety using the electronic health record. The tool integrates gap identification, passive alerts, and actions into a single interface embedded within clinicians' workflow. The tool was developed to address venous thromboembolism prophylaxis, prevention of hypo- and hyperglycemia, code status documentation, bowel movement frequency, and skilled nursing facility transitions. Alerts and actions during silent and live periods were retrospectively analyzed. The most prevalent safety gaps were lack of venous thromboembolism prophylaxis (40.4% of alerts), constipation (19.3%), and lack of code status (18.4%). Disparities in safety gaps were present by patient race, sex, and socioeconomic status. Usability testing showed positive feedback without significant alert burden. Thus, a safety gap tool was successfully built to study and address patient safety issues. The tool's strengths are its integration within the electronic health record, ease of use, customizability, and scalability.

High Rates of Multimorbidity Reported Among People of Color Despite Healthy Weight

Purpose:

Methods:

Results:

Conclusion:

Glycemic Control Trajectories and Risk of Perinatal Complications Among Individuals With Gestational Diabetes

IMPORTANCE

Glycemic control is the cornerstone of gestational diabetes management. Glycemic control trajectories account for differences in longitudinal patterns throughout pregnancy; however, studies on glycemic control trajectories are scarce.

OBJECTIVE

To examine whether glycemic control trajectories from gestational diabetes diagnosis to delivery were associated with differential risk of perinatal complications.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study included individuals with gestational diabetes with longitudinal electronic health record data from preconception to delivery who received prenatal care at Kaiser Permanente Northern California (KPNC) and were enrolled in KPNC's telemedicine-based gestational diabetes care program between January 2007 and December 2017. Data analysis was conducted from September 2021 to January 2022.

EXPOSURES

Glycemic control trajectories were derived using latent class modeling based on the American Diabetes Association's recommended self-monitoring of blood glucose measurements. Optimal glycemic control was defined as at least 80% of all measurements meeting the targets at KPNC clinical settings.

MAIN OUTCOMES AND MEASURES

Multivariable Poisson regression models were used to estimate the associations of glycemic control trajectories with cesarean delivery, preterm birth, shoulder dystocia, large- and small-for-gestational-age, and neonatal intensive care unit admission and stay of 7 days or longer.

RESULTS

Among a total of 26 774 individuals (mean [SD] age, 32.9 [5.0] years; 11 196 Asian or Pacific Islander individuals [41.8%], 1083 Black individuals [4.0%], 7500 Hispanic individuals [28.0%], and 6049 White individuals [22.6%]), 4 glycemic control trajectories were identified: stably optimal (10 528 individuals [39.3%]), rapidly improving to optimal (9151 individuals [34.2%]), slowly improving to near-optimal (4161 individuals [15.5%]), and slowly improving to suboptimal (2934 individuals [11.0%]). In multivariable models with the rapidly improving to optimal trajectory group as the reference group, glycemic control trajectories were associated with perinatal complications with a gradient across stably optimal to slowly improving to suboptimal. For individuals in the stably optimal trajectory group, there were lower risks of cesarean delivery (adjusted relative risk [aRR], 0.93 [95% CI, 0.89-0.96]), shoulder dystocia (aRR, 0.75 [95% CI, 0.61-0.92]), large-for-gestational age (aRR, 0.74 [95% CI, 0.69-0.80]), and neonatal intensive care unit admission (aRR, 0.90 [95% CI, 0.83-0.97]), while for patients in the slowly improving to suboptimal glycemic control trajectory group, risks were higher for cesarean delivery (aRR, 1.18 [95% CI, 1.12-1.24]; (P for trend < .001), shoulder dystocia (aRR, 1.41 [95% CI, 1.12-1.78]; P for trend < .001), large-for-gestational-age (aRR, 1.42 [95% CI, 1.31-1.53]; P for trend < .001), and neonatal intensive care unit admission (aRR, 1.33 [95% CI, 1.20-1.47]; P for trend < .001). The risk of small-for-gestational-age was higher in patients in the stably optimal group (aRR, 1.10 [95% CI, 1.02-1.20]) and lower in the slowly improving to suboptimal group (aRR, 0.63 [95% CI, 0.53-0.75]).

CONCLUSIONS AND RELEVANCE

These findings suggest that slowly improving to near-optimal and slowly improving to suboptimal glycemic control trajectories were associated with increased risk of perinatal complications. Future interventions should help individuals achieve glycemic control early after gestational diabetes diagnosis and throughout pregnancy to decrease the risk of perinatal complications.

Body Fat Distribution, Glucose Metabolism, and Diabetes Status Among Older Adults: The Multiethnic Cohort Adiposity Phenotype Study

BACKGROUND

As the proportion of visceral (VAT) to subcutaneous adipose tissue (SAT) may contribute to type 2 diabetes (T2D) development, we examined this relation in a cross-sectional design within the Multiethnic Cohort that includes Japanese Americans known to have high VAT. The aim was to understand how ectopic fat accumulation differs by glycemic status across ethnic groups with disparate rates of obesity, T2D, and propensity to accumulate VAT.

METHODS

In 2013-2016, 1,746 participants aged 69.2 (standard deviation, 2.7) years from five ethnic groups completed questionnaires, blood collections, and whole-body dual X-ray absorptiometry and abdominal magnetic resonance imaging scans. Participants with self-reported T2D and/or medication were classified as T2D, those with fasting glucose >125 and 100-125 mg/dL as undiagnosed cases (UT2D) and prediabetes (PT2D), respectively. Using linear regression, we estimated adjusted means of adiposity measures by T2D status.

RESULTS

Overall, 315 (18%) participants were classified as T2D, 158 (9%) as UT2D, 518 (30%) as PT2D, and 755 (43%) as normoglycemic (NG), with significant ethnic differences (P < 0.0001). In fully adjusted models, VAT, VAT/SAT, and percent liver fat increased significantly from NG, PT2D, UT2D, to T2D (P < 0.001). Across ethnic groups, the VAT/SAT ratio was lowest for NG participants and highest for T2D cases. Positive trends were observed in all groups except African Americans, with highest VAT/SAT in Japanese Americans.

CONCLUSION

These findings indicate that VAT plays an important role in T2D etiology, in particular among Japanese Americans with high levels of ectopic adipose tissue, which drives the development of T2D to a greater degree than in other ethnic groups.

Ethnic disparities attributed to the manifestation in and response to type 2 diabetes: insights from metabolomics

Type 2 diabetes (T2D) associated health disparities among different ethnicities have long been known. Ethnic variations also exist in T2D related comorbidities including insulin resistance, vascular complications and drug response. Genetic heterogeneity, dietary patterns, nutrient metabolism and gut microbiome composition attribute to ethnic disparities in both manifestation and progression of T2D. These factors differentially regulate the rate of metabolism and metabolic health. Metabolomics studies have indicated significant differences in carbohydrate, lipid and amino acid metabolism among ethnicities. Interestingly, genetic variations regulating lipid and amino acid metabolism might also contribute to inter-ethnic differences in T2D. Comprehensive and comparative metabolomics analysis between ethnicities might help to design personalized dietary regimen and newer therapeutic strategies. In the present review, we explore population based metabolomics data to identify inter-ethnic differences in metabolites and discuss how (a) genetic variations, (b) dietary patterns and (c) microbiome composition may attribute for such differences in T2D.

Diabetes Screening by Race and Ethnicity in the United States: Equivalent Body Mass Index and Age Thresholds

BACKGROUND

Racial/ethnic minority populations in the United States have increased rates of diabetes compared with White populations. The 2021 guidelines from the U.S. Preventive Services Task Force recommend diabetes screening for adults aged 35 to 70 years with a body mass index (BMI) of 25 kg/m² or greater.

OBJECTIVE

To determine the BMI threshold for diabetes screening in major racial/ethnic minority populations with benefits and harms equivalent to those of the current diabetes screening threshold in White adults.

DESIGN

Cross-sectional study.

SETTING

NHANES (National Health and Nutrition Examination Survey), 2011 to 2018.

PARTICIPANTS

Nonpregnant U.S. adults aged 18 to 70 years (n = 19 335).

MEASUREMENTS

A logistic regression model was used to estimate diabetes prevalence at various BMIs for White, Asian, Black, and Hispanic Americans. For each racial/ethnic minority group, the equivalent BMI threshold was defined as the BMI at which the prevalence of diabetes in 35-year-old persons in that group is equal to that in 35-year-old White adults at a BMI of 25 kg/m². Ranges were estimated to account for the uncertainty in prevalence estimates for White and racial/ethnic minority populations.

RESULTS

Among adults aged 35 years with a BMI of 25 kg/m², the prevalence of diabetes in Asian Americans (3.8% [95% CI, 2.8% to 5.1%]), Black Americans (3.5% [CI, 2.7% to 4.7%]), and Hispanic Americans (3.0% [CI, 2.1% to 4.2%]) was significantly higher than that in White Americans (1.4% [CI, 1.0% to 2.0%]). Compared with a BMI threshold of 25 kg/m² in White Americans, the equivalent BMI thresholds for diabetes prevalence were 20 kg/m² (range, <18.5 to 23 kg/m²) for Asian Americans, less than 18.5 kg/m² (range, <18.5 to 23 kg/m²) for Black Americans, and 18.5 kg/m² (range, <18.5 to 24 kg/m²) for Hispanic Americans.

LIMITATION

Sample size limitations precluded assessment of heterogeneity within racial/ethnic groups.

CONCLUSION

Among U.S. adults aged 35 years or older, offering diabetes screening to Black Americans and Hispanic Americans with a BMI of 18.5 kg/m² or greater and Asian Americans with a BMI of 20 kg/m² or greater would be equivalent to screening White adults with a BMI of 25 kg/m² or greater. Using screening thresholds specific to race/ethnicity has the potential to reduce disparities in diabetes diagnosis.

PRIMARY FUNDING SOURCE

Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology.

Impact of African ancestry on the relationship between body mass index and survival in an early-stage breast cancer trial (ECOG-ACRIN E5103)

BACKGROUND

African ancestry (AA) and obesity are associated with worse survival in early-stage breast cancer. Obesity disproportionately affects women of AA; however, the intersection between ancestry and obesity on breast cancer outcomes remains unclear.

METHODS

A total of 2854 patients in the adjuvant trial E5103 were analyzed. Genetic ancestry was determined using principal components from a genome-wide array. The impact of continuous or binary body mass index (BMI) on disease-free survival (DFS) and overall survival (OS) was evaluated by multivariable Cox proportional hazards models in AA patients and European ancestry (EA) patients.

RESULTS

There were 2471 EA patients and 383 AA patients. Higher BMI was significantly associated with worse DFS and OS only in AA patients (DFS hazard ratio [HR], 1.25; 95% CI, 1.07-1.46; OS HR, 1.38; 95% CI, 1.10-1.73), not in EA patients (DFS HR, 0.97; 95% CI, 0.90-1.05; OS HR, 1.03; 95% CI, 0.93-1.14). Severe obesity (BMI ≥40) was significantly associated with worse survival in AA patients (DFS HR, 2.04; 95% CI, 1.21-3.43; OS HR, 2.21; 95% CI, 1.03-4.75) but had no impact on that of EA patients. In the estrogen receptor-positive (ER+) and triple-negative breast cancer subgroups, BMI was significantly associated with worse outcomes only in those AA patients with ER+ disease. Within the AA group, BMI remained associated with worse survival regardless of the AA proportion.

CONCLUSIONS

Higher BMI was statistically significantly associated with worse breast cancer outcomes in AA but not EA patients. This association was most significant for severe obesity and those with ER+ disease. These observations help define optimal populations for weight change interventions designed to affect disparities and survival in early-stage breast cancer.

LAY SUMMARY

African ancestry and obesity are both risk factors for worse survival after early-stage breast cancer. Women of African descent are also disproportionately affected by obesity; however, it is unclear what impact body weight has on racial disparities in breast cancer. Data from a large phase 3 clinical trial in high-risk, early-stage breast cancer were used to determine how body weight affects survival outcomes in European versus African Americans. Study results demonstrate that a higher body mass index is associated with increased risk of breast cancer recurrence and worse survival in women of African ancestry but not in women of European ancestry.

Evidence and Implications of the Affordable Care Act for Racial/Ethnic Disparities in Diabetes Health During and Beyond the Pandemic

Amid the global pandemic, it becomes more apparent that diabetes is a pressing health concern because racial/ethnic minorities with underlying diabetes conditions have been disproportionately affected. The study proposes a multiyear examination to document the role of the Affordable Care Act (ACA) in racial/ethnic disparities in diabetes health. Using the Behavioral Risk Factor Surveillance System from 2011 to 2019, the study with a pre-post design investigated changes in access to care and diabetes health among non-White minorities compared with Whites before and after the ACA by conducting multivariable linear regression, with state-fixed effects and robust standard errors. Compared with Whites, racial/ethnic minorities showed significant improvements in health insurance coverage, having a personal doctor, and not seeing a doctor because of cost. Blacks (3.2% points, P ≤ 0.000), Hispanics (1.6% points, P = 0.001), and "other" racial/ethnic group (1.5% points, P = 0.003) experienced a greater increase in diagnosed prediabetes than Whites, whereas no and small differences were found in diagnosed diabetes and obesity, respectively. The yearly comparisons of changes in diagnosed prediabetes showed that Blacks compared with Whites had a growing increase from 1.2% points (P = 0.001) in 2014 to 3.3% points (P = 0.001) in 2019. Insurance coverage has declined after 2016, and obesity had an increasing trend across race/ethnicity. The ACA had a positive role in improving access to care and identifying those at risk for diabetes to a larger extent among racial/ethnic minorities. However, the policy impacts have been diminishing in recent years. Continued efforts are needed for sustained policy effects.