Social Determinants of Cardiovascular Health in Asian Americans: A Scientific Statement From the American Heart Association.

To achieve cardiovascular health (CVH) equity in the United States, an understanding of the social and structural factors that contribute to differences and disparities in health is necessary. The Asian American population is the fastest-growing racial group in the United States but remains persistently underrepresented in health research. There is heterogeneity in how individual Asian American ethnic groups experience CVH and cardiovascular disease outcomes, with certain ethnic groups experiencing a higher burden of adverse social conditions, disproportionately high burden of suboptimal CVH, or excess adverse cardiovascular disease outcomes. In this scientific statement, upstream structural and social determinants that influence CVH in the Asian American population are highlighted, with particular emphasis on the role of social determinants of health across disaggregated Asian American ethnic groups. Key social determinants that operate in Asian American communities include socioeconomic position, immigration and nativity, social and physical environments, food and nutrition access, and health system-level factors. The role of underlying structural factors such as health, social, and economic policies and structural racism is also discussed in the context of CVH in Asian Americans. To improve individual-, community-, and population-level CVH and to reduce CVH disparities in Asian American ethnic subgroups, multilevel interventions that address adverse structural and social determinants are critical to achieve CVH equity for the Asian American population. Critical research gaps for the Asian American population are given, along with recommendations for strategic approaches to investigate social determinants of health and intervene to reduce health disparities in these communities.

Dietary Acculturation Is Associated With Altered Gut Microbiome, Circulating Metabolites, and Cardiovascular Disease Risk in US Hispanics and Latinos: Results From HCHS/SOL.

BACKGROUND: Dietary acculturation, or adoption of dominant culture diet by migrant groups, influences human health. We aimed to examine dietary acculturation and its relationships with cardiovascular disease (CVD), gut microbiota, and blood metabolites among US Hispanic and Latino adults. METHODS: In the HCHS/SOL (Hispanic Community Health Study/Study of Latinos), US exposure was defined by years in the United States (50 states and Washington, DC) and US nativity. A dietary acculturation pattern was derived from 14 172 participants with two 24-hour dietary recalls at baseline (2008-2011) using least absolute shrinkage and selection operator regression, with food groups as predictors of US exposure. We evaluated associations of dietary acculturation with incident CVD across ≈7 years of follow-up (n=211/14 172 cases/total) and gut microbiota (n=2349; visit 2, 2014 to 2017). Serum metabolites associated with both dietary acculturation-related gut microbiota (n=694) and incident CVD (n=108/5256 cases/total) were used as proxy measures to assess the association of diet-related gut microbiome with incident CVD. RESULTS: We identified an empirical US-oriented dietary acculturation score that increased with US exposure. Higher dietary acculturation score was associated with higher risk of incident CVD (hazard ratio per SD, 1.33 [95% CI, 1.13-1.57]), adjusted for sociodemographic, lifestyle, and clinical factors. Sixty-nine microbial species (17 enriched from diverse species, 52 depleted mainly from fiber-utilizing Clostridia and Prevotella species) were associated with dietary acculturation, driven by lower intakes of whole grains, beans, and fruits and higher intakes of refined grains. Twenty-five metabolites, involved predominantly in fatty acid and glycerophospholipid metabolism (eg, branched-chain 14:0 dicarboxylic acid** and glycerophosphoethanolamine), were associated with both diet acculturation-related gut microbiota and incident CVD. Proxy association analysis based on these metabolites suggested a positive relationship between diet acculturation-related microbiome and risk of CVD (r=0.70, P<0.001). CONCLUSIONS: Among US Hispanic and Latino adults, greater dietary acculturation was associated with elevated CVD risk, possibly through alterations in gut microbiota and related metabolites. Diet and microbiota-targeted interventions may offer opportunities to mitigate CVD burdens of dietary acculturation.

Effects of an Intervention to Improve Evidence-Based Care for People With Diabetes and Cardiovascular Disease Across Sex, Race, and Ethnicity Subgroups: Insights From the COORDINATE-Diabetes Trial.

BACKGROUND: Results from the COORDINATE-Diabetes trial (Coordinating Cardiology Clinics Randomized Trial of Interventions to Improve Outcomes - Diabetes) demonstrated that a multifaceted, clinic-based intervention increased prescription of evidence-based medical therapies to participants with type 2 diabetes and atherosclerotic cardiovascular disease. This secondary analysis assessed whether intervention success was consistent across sex, race, and ethnicity. METHODS: COORDINATE-Diabetes, a cluster randomized trial, recruited participants from 43 US cardiology clinics (20 randomized to intervention and 23 randomized to usual care). The primary outcome was the proportion of participants prescribed all 3 groups of evidence-based therapy (high-intensity statin, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, and sodium-glucose cotransporter-2 inhibitor or glucagon-like peptide 1 receptor agonist) at last trial assessment (6 to 12 months). In this prespecified analysis, mixed-effects logistic regression models were used to assess the outcome by self-reported sex, race, and ethnicity in the intervention and usual care groups, with adjustment for baseline characteristics, medications, comorbidities, and site location. RESULTS: Among 1045 participants with type 2 diabetes and atherosclerotic cardiovascular disease, the median age was 70 years, 32% were female, 16% were Black, and 9% were Hispanic. At the last trial assessment, there was an absolute increase in the proportion of participants prescribed all 3 groups of evidence-based therapy in women (36% versus 15%), Black participants (41% versus 18%), and Hispanic participants (46% versus 18%) with the intervention compared with usual care, with consistent benefit across sex (male versus female; Pinteraction=0.44), race (Black versus White; Pinteraction=0.59), and ethnicity (Hispanic versus Non-Hispanic; Pinteraction= 0.78). CONCLUSIONS: The COORDINATE-Diabetes intervention successfully improved delivery of evidence-based care, regardless of sex, race, or ethnicity. Widespread dissemination of this intervention could improve equitable health care quality, particularly among women and minority communities who are frequently underrepresented in clinical trials. REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03936660.

Epidemiology of Diabetes and Atherosclerotic Cardiovascular Disease Among Asian American Adults: Implications, Management, and Future Directions: A Scientific Statement From the American Heart Association.

Asian American individuals make up the fastest growing racial and ethnic group in the United States. Despite the substantial variability that exists in type 2 diabetes and atherosclerotic cardiovascular disease risk among the different subgroups of Asian Americans, the current literature, when available, often fails to examine these subgroups individually. The purpose of this scientific statement is to summarize the latest disaggregated data, when possible, on Asian American demographics, prevalence, biological mechanisms, genetics, health behaviors, acculturation and lifestyle interventions, pharmacological therapy, complementary alternative interventions, and their impact on type 2 diabetes and atherosclerotic cardiovascular disease. On the basis of available evidence to date, we noted that the prevalences of type 2 diabetes and stroke mortality are higher in all Asian American subgroups compared with non-Hispanic White adults. Data also showed that atherosclerotic cardiovascular disease risk is highest among South Asian and Filipino adults but lowest among Chinese, Japanese, and Korean adults. This scientific statement discusses the biological pathway of type 2 diabetes and the possible role of genetics in type 2 diabetes and atherosclerotic cardiovascular disease among Asian American adults. Challenges to provide evidence-based recommendations included the limited data on Asian American adults in risk prediction models, national surveillance surveys, and clinical trials, leading to significant research disparities in this population. The large disparity within this population is a call for action to the public health and clinical health care community, for whom opportunities for the inclusion of the Asian American subgroups should be a priority. Future studies of atherosclerotic cardiovascular disease risk in Asian American adults need to be adequately powered, to incorporate multiple Asian ancestries, and to include multigenerational cohorts. With advances in epidemiology and data analysis and the availability of larger, representative cohorts, furthering refining the Pooled Cohort Equations, in addition to enhancers, would allow better risk estimation in segments of the population. Last, this scientific statement provides individual- and community-level intervention suggestions for health care professionals who interact with the Asian American population.

Understanding ethnic inequalities in the design and implementation of digital health interventions for cardiometabolic disease: a qualitative study.

BACKGROUND: The use of digital health interventions (DHIs), such as apps and wearable devices, for prevention and management of cardiometabolic disease, has been accelerated by the impact of COVID-19 on health-care services. Digital inequalities disproportionately affect those most at risk of wider health inequalities (e.g., older age, minority ethnicity, and lower household income) and might intersect with populations with higher cardiometabolic disease risk such as South Asians in the UK. We wanted to understand how those involved in DHI implementation perceive and address these inequalities, to help develop recommendations to reduce the risk of DHI implementation exacerbating existing health inequalities. METHODS: For this qualitative study we used a purposive sampling strategy, whereby focus groups and semi-structured interviews were done online between April 7 and Dec 8, 2022, with stakeholders, including health-care professionals (n=15); technology developers and digital experts (n=10); those in strategy, evaluation, or policy roles (n=15); and charities (n=4). Discussions covered barriers and facilitators to inclusive design and implementation of DHIs, with focus dependent on expertise. Findings from a qualitative study with South Asian patients have been reported separately. Audio recordings were transcribed and coded using reflexive thematic analysis. Participants provided written consent and the study received NHS Health Research Authority approval from London - Brent Research Ethics Committee (IRAS 261047). FINDINGS: Participants had a good understanding of barriers to DHI use for cardiometabolic disease faced by South Asians, highlighting the need to design for language, culture, and diet. Many emphasised the link between digital exclusion and socioeconomic deprivation, across all ethnic groups in the UK. The potential for DHIs in improving patient outcomes was recognised; however, equity concerns included unequal patient access, lack of data and resources to target support, and need for quality evidence to recommend and commission digital tools. A range of solutions for improving equity were suggested such as resourcing support for digital upskilling, community engagement, and the role of regulation in embedding improved design and evaluation of DHIs available through health-care services. INTERPRETATION: This study reflects the experiences of professionals interested in (digital) health inequalities. However, challenges to equitable digital health implementation and use are well described. Our findings present multi-sectoral responsibilities and opportunities for action. FUNDING: National Institute for Health and Care Research (NIHR).

Sex differences in sympathetic transduction in black and white adults: implications for racial disparities in hypertension and cardiovascular disease risk.

The prevalence of hypertension in non-Hispanic black (BL) individuals is the greatest of any racial/ethnic group. Whereas women generally display lower rates of hypertension than men of the same background, BL women display a similar if not greater burden of hypertension compared with BL men. The risk for cardiovascular disease and related events is also highest in BL individuals. Given the importance of the sympathetic nervous system for the regulation of the cardiovascular system, a growing body of literature has investigated sympathetic function in BL and non-Hispanic white (WH) individuals. Here, we are focused on emerging evidence indicating that sympathetic function may be altered in BL individuals, with particular emphasis on the process by which bursts of muscle sympathetic nerve activity (MSNA) are transduced into vasoconstriction and increases in blood pressure (sympathetic vascular transduction). To synthesize this growing body of literature we discuss sex and race differences in 1) sympathetic outflow, 2) sympathetic vascular transduction, and 3) adrenergic receptor sensitivity. Sex differences are discussed foremost, to set the stage for new data indicating a sex dimorphism in sympathetic regulation in BL individuals. Specifically, we highlight evidence for a potential neurogenic phenotype including greater adiposity-independent sympathetic outflow and enhanced sympathetic vascular transduction in BL men that is not observed in BL women. The implications of these findings for the greater hypertension and cardiovascular disease risk in BL adults are discussed along with areas that require further investigation.

Relationship between LDL-cholesterol, small and dense LDL particles, and mRNA expression in a cohort of African Americans.

Understanding the characteristics and behavior of low-density lipoprotein (LDL) particles provides insights into the atherogenic risk of elevated LDL cholesterol in hypercholesterolemia, cardiovascular disease risks. Studying LDL particles helps identify specific LDL subtypes [e.g., small dense LDL particles (sdLDL)] that may be atherogenic and, consequently, potential targets for therapeutics. This study cohort consists of African Americans (AAs), a population disproportionately affected by cardiovascular diseases, thereby accentuating the importance of the investigation. Differential expression (DE) analysis was undertaken using a dataset comprising 17,947 protein-coding mRNAs from the whole blood transcriptomes of 416 samples to identify mRNAs associated with low-density lipoprotein cholesterol (LDL-C) and sdLDL plasma levels. Subsequently, mediation analyses were used to investigate the mediating role of sdLDL particles on the relationship between LDL-C levels and mRNA expression. Finally, pathway enrichment analysis was conducted to identify pathways involving mRNAs whose relationship with LDL-C is mediated by sdLDL. DE analysis revealed 1,048 and 284 mRNA transcripts differentially expressed by LDL-C and sdLDL levels, respectively. Mediation analysis revealed that the associations between LDL-C and 33 mRNAs were mediated by sdLDL. Of the 33 mRNAs mediated by sdLDL, 18 were mediated in both males and females. Nine mRNAs were mediated only in females, and six were mediated only in males. Pathway analysis showed that 33 mRNAs are involved in pathways associated with the immune system, inflammatory response, metabolism, and cardiovascular disease (CVD) risk. In conclusion, our study provides valuable insights into the complex interplay between LDL-C, sdLDL, and mRNA expression in a large sample of AAs. The results underscore the importance of incorporating sdLDL measurement alongside LDL-C levels to improve the accuracy of managing hypercholesterolemia and effectively stratify the risk of CVD. This is essential as differences in sdLDL modulate atherogenic properties at the transcriptome level.NEW & NOTEWORTHY The study investigated the interplay between LDL-C and mRNA expression, focusing on the role of small dense LDL (sdLDL) particles and sex differences. Differential expression analysis identified 1,048 and 284 mRNAs associated with LDL-C and sdLDL levels, respectively. Mediation analysis revealed that sdLDL mediates the relationship between LDL-C and 33 mRNAs involved in immune, inflammatory, and metabolic pathways. These findings highlight the significance of sdLDL in cardiovascular disease risk assessment and underscore sex-specific differences in lipid metabolism.

Visceral-to-peripheral adiposity ratio: a critical determinant of sex and ethnic differences in cardiovascular risks among Asian Indians and African Creoles in Mauritius.

BACKGROUND/AIMS: Coronary heart disease morbidity and mortality are higher in people of South Asian origin than in those of African origin. We investigated whether as young adults without diabetes, people in Mauritius of South Asian descent (Indians) would show a more adverse cardiovascular risk profile that those of predominantly African descent (Creoles), and whether this could be explained by ethnic differences in visceral adiposity or other fat distribution patterns. METHODS: The study was conducted in 189 young non-physically active adults, with the following measurements conducted after an overnight fast: anthropometry (weight, height, waist circumference), whole-body and regional body composition by dual-energy x-ray absorptiometry, blood pressure, and blood assays for glycemic (glucose and HbA1c) and lipid profile (triglycerides and cholesterols). RESULTS: The results indicate higher serum triglycerides and lower HDL cholesterol in men than in women, and in Indians than in Creoles (p < 0.001). No significant differences due to sex or ethnicity are observed in body mass index and waist circumference, but indices of visceral adiposity (visceral/android, visceral/subcutaneous) and visceral-to-peripheral adiposity ratio (visceral/gynoid, visceral/limb) were significantly higher in men than in women, and in Indians than in Creoles. The significant effects of sex and ethnicity on blood lipid profile were either completely abolished or reduced to a greater extent after adjusting for the ratio of visceral-to-peripheral adiposity than for visceral adiposity per se. CONCLUSIONS: In young adults in Mauritius, Indians show a more adverse pattern of body fat distribution and blood lipid risk profile than Creoles. Differences in their fat distribution patterns, however, only partially explain their differential atherogenic lipid risk profile, amid a greater impact of visceral-to-peripheral adiposity ratio than that of visceral adiposity per se on sex and ethnic differences in cardiovascular risks; the former possibly reflecting the ratio of hazardous (visceral) adiposity and protective (peripheral) superficial subcutaneous adiposity.

Evaluation of the Steno Type 1 Risk Engine in predicting cardiovascular events in an ethnic mixed population of type 1 diabetes mellitus and its association with chronic microangiopathy complications.

BACKGROUND: The Steno Type 1 Risk Engine (ST1RE) was developed to aid clinical decisions in primary prevention for individuals with type 1 diabetes (T1D), as existing cardiovascular (CV) risk models for the general population and type 2 diabetes tend to underestimate CV risk in T1D. However, the applicability of ST1RE in different populations remains uncertain, as prediction models developed for one population may not accurately estimate risk in another. This study aimed to evaluate the performance of the ST1RE in predicting CV events among ethnically mixed T1D individuals and its association with the progression of microangiopathy complications. METHODS: A retrospective survey of 435 adults with T1D who were free of CV events at baseline was assessed by ST1RE and chronic diabetes complications at 5 and 10 years of follow-up. The estimated CV risk rates were compared with the observed rates at 5 and 10 years using statistical analyses, including Receiver Operating Characteristic (ROC) curve analysis, Hosmer-Lemeshow test, Kaplan-Meier curves analysis and Cox-regression models. RESULTS: Among 435 patients (aged 25 years; interquartile range [IQR]: 21-32) with a median T1D duration of 13 years (IQR: 9-18), only 5% were categorized into the high ST1RE group. Within a median follow-up of 9.2 years (IQR 6.0-10.7), 5.5% of patients experienced a CV event (1.6%, 14.9%, and 50% from the low, moderate, and high-risk groups, respectively). The hazard ratios (HRs) for CV events were greater in the high-risk group (HR 52.02; 95% CI 18.60-145.51, p < 0.001) and in the moderate-risk group (HR 8.66; 95% CI 2.90-25.80, p < 0.001) compared to the low-risk group. The ST1RE estimated CV events were similar to the observed at 5 years (3.4% vs. 3.5%; χ2 = 10.12, p = 0.899) and 10 years (6.8% vs. 9.9%; χ2 = 14.80, p = 0.676) of follow-up. The progression of microangiopathies was greater in the high vs. low for retinopathy (p = 0.008), diabetic kidney disease (p < 0.001), peripheral neuropathy (p = 0.021), and autonomic neuropathy (p = 0.008). CONCLUSIONS: ST1RE performed well in predicting CV events at 5 and 10 years of follow-up. Moreover, higher ST1RE scores were associated with the progression of microangiopathy complications in this genetically heterogeneous T1D population.

Prognostic impact of switching to the 2021 chronic kidney disease epidemiology collaboration creatinine-based equation in Caucasian patients with type 2 diabetes: the Renal Insufficiency and Cardiovascular events (RIACE) Italian Multicenter Study.

BACKGROUND: A Chronic Kidney Disease (CKD) Epidemiology Collaboration (EPI) formula not including a Black race coefficient has been recently developed and is now recommended in the US. The new (2021) equation was shown to yield higher estimated glomerular filtration rate (eGFR) values than the old (2009) one in a non-Black general population sample, thus reclassifying a significant number of individuals to a better eGFR category. However, reclassified individuals were previously shown to have a lower risk of progression to end-stage kidney disease, but higher adjusted risks for all-cause death and morbidity and mortality from cardiovascular disease than those not reclassified. This study evaluated the prognostic impact of switching from the 2009 to the 2021 CKD-EPI equation in non-Black individuals with type 2 diabetes. METHODS: The Renal Insufficiency And Cardiovascular Events (RIACE) was a prospective cohort study enrolling 15,773 Caucasian patients in 19 Italian centers in 2006-2008. Cardiometabolic risk profile, treatments, complications, and comorbidities were assessed at baseline and eGFR was calculated with the two equations. Vital status was retrieved on 31 October 2015 for 15,656 participants (99.3%). RESULTS: With the 2021 equation, the eGFR value increased in all patients, except for 293 individuals with a 2009 eGFR ≥ 105 ml·min- 1·1.73 m- 2. The median difference was 4.10 ml·min- 1·1.73 m- 2 and was higher in males, older individuals and those in the G2 category. Reclassification decreased the percentage of patients with reduced eGFR from 17.28 to 13.96% and with any CKD from 36.23 to 34.03%. Reclassified individuals had better cardiometabolic risk profile and lower prevalence of complications and use of medications than non-reclassified individuals. Risk of death versus the 2009 G1 category was lower for reclassified than non-reclassified participants in all eGFR categories and, particularly, in each 2009 eGFR category, though difference was significant only in the G4-G5 category. The Receiver Operator Characteristic curves were statistically, but not clinically different with the two equations. CONCLUSION: Changing from the 2009 to the 2021 CKD-EPI equation results in higher eGFR and lower CKD prevalence, with a lower risk of death in reclassified patients with an eGFR < 30 ml·min- 1·1.73 m- 2, but virtually no impact on mortality prediction. TRIAL REGISTRATION: ClinicalTrials.gov, NCT00715481, retrospectively registered 15 July, 2008.

Atherosclerotic Cardiovascular Disease Primary and Secondary Prevention in Latino Subgroups.

BACKGROUND: Studies assessing equity in the prevention of atherosclerotic cardiovascular disease (ASCVD) for Latinos living in the USA collectively yield mixed results. Latino persons are diverse in many ways that may influence cardiovascular health. The intersection of Latino nativity and ASCVD prevention is understudied. OBJECTIVE: To determine whether disparities in ASCVD screening, detection, and prescribing differ for US Latinos by country of birth. DESIGN: A retrospective cohort design utilizing 2014-2020 electronic health record data from a network of 320 community health centers across 12 states. Analyses occurred October 1, 2022, to September 30, 2023. PARTICIPANTS: Non-Hispanic White and Latino adults age 20-75 years, born in Cuba, Dominican Republic, El Salvador, Guatemala, Honduras, Mexico, and the USA. EXPOSURES: Ethnicity and country of birth. MAIN MEASURES: Outcome measures included prevalence of statin eligibility, of having insufficient data to establish eligibility, odds of having a documented statin prescription, and rates of statin prescriptions and refills. We used covariate-adjusted logistic and generalized estimating equations logistic and negative binomial regressions to generate absolute and relative measures. KEY RESULTS: Among 108,672 adults, 23% (n = 25,422) were statin eligible for primary or secondary prevention of ASCVD using American College of Cardiology/American Heart Association guidelines. Latinos, born in and outside the USA were more likely eligible than Non-Hispanic White patients were (US-born Latino OR = 1.55 (95% CI = 1.37-1.75); non-US-born Latino OR = 1.63 (95% CI = 1.34-1.98)). The eligibility criteria that was met differed by ethnicity and nativity. Latinos overall were less likely missing data to establish eligibility and differences were again observed by specific non-US country of origin. Among those eligible, we observed no statistical difference in statin prescribing between US-born Latinos and non-Hispanic White persons; however, disparities varied by specific non-US country of origin. CONCLUSION: Efforts to improve Latino health in the USA will require approaches for preventing and reversing cardiovascular risk factors, and statin initiation that are Latino subgroup specific.

Cardiovascular Health and Disease in the Pakistani American Population.

PURPOSE OF REVIEW: This narrative review seeks to elucidate clinical and social factors influencing cardiovascular health, explore the challenges and potential solutions for enhancing cardiovascular health, and identify areas where further research is needed to better understand cardiovascular issues in native and American Pakistani populations. RECENT FINDINGS: The prevalence of cardiometabolic disease is high not only in Pakistan but also among its global diaspora. This situation is further complicated by the inadequacy of current cardiovascular risk assessment tools, which often fall short of accurately gauging the risk among Pakistani individuals, underscoring the urgent need for more tailored and effective assessment methodologies. Moreover, social determinants play a crucial role in shaping cardiovascular health. The burden of cardiovascular disease and upstream risk factors is high among American Pakistani individuals. Future research is needed to better understand the heightened risk of cardiovascular disease among Pakistani individuals.

Disparities among ethnic groups in mortality and outcomes among adults with MASLD: A multicenter study.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liver disease and 10%-20% occurs in lean individuals. There is little data in the literature regarding outcomes in an ethnically-diverse patient populations with MASLD. Thus, we aim to investigate the natural history and ethnic disparities of MASLD patients in a diverse population, and stratified by body mass index categories. METHODS: We conducted a retrospective multicenter study on patients with MASLD at the Banner Health System from 2012 to 2022. Main outcomes included mortality and incidence of cirrhosis, cardiovascular disease, diabetes mellitus (DM), liver-related events (LREs), and cancer. We used competing risk and Cox proportional hazard regression analysis for outcome modelling. RESULTS: A total of 51 452 (cross-sectional cohort) and 37 027 (longitudinal cohort) patients were identified with 9.6% lean. The cohort was 63.33% European ancestry, 27.96% Hispanic ancestry, 3.45% African ancestry, and 2.31% Native American/Alaskan ancestry. Median follow-up was 45.8 months. After adjusting for confounders, compared to European individuals, Hispanic and Native American/Alaskan patients had higher prevalence of cirrhosis and DM, and individuals of Hispanic, African, and Native American/Alaskan ancestry had higher mortality and incidence of LREs and DM. Lean patients had higher mortality and incidence of LREs compared with non-lean patients. CONCLUSION: Native American/Alaskan, Hispanic, and African patients had higher mortality and incidence of LREs and DM compared with European patients. Further studies to explore the underlying disparities and intervention to prevent LREs in lean patients, particularly several ethnic groups, may improve clinical outcomes.

Ethnic disparities in cardiovascular and renal responses to canagliflozin between Asian and White patients with type 2 diabetes mellitus: A post hoc analysis of the CANVAS Program.

AIM: To assess the potential heterogeneity in cardiovascular (CV), renal and safety outcomes of canagliflozin between Whites and Asians, as well as these outcomes in each subgroup. MATERIALS AND METHODS: The CANVAS Program enrolled 10 142 patients with type 2 diabetes, comprising 78.34% Whites and 12.66% Asians. CV, renal and safety outcomes were comprehensively analysed using Cox regression models, while intermediate markers were assessed using time-varying mixed-effects models. Racial heterogeneity was evaluated by adding a treatment-race interacion term. RESULTS: Canagliflozin showed no significant racial disparities in the majority of the CV, renal and safety outcomes. The heterogeneity (p = .04) was observed on all-cause mortality, with reduced risk in Whites (hazard ratio 0.84; 95% confidence interval 0.71-0.99) and a statistically non-significant increased risk in Asians (hazard ratio 1.64; 95% confidence interval 0.94-2.90). There was a significant racial difference in acute kidney injury (p = .04) and a marginally significant racial heterogeneity for the composite of hospitalization for heart failure and CV death (p = .06) and serious renal-related adverse events (p = .07). CONCLUSION: Canagliflozin reduced CV and renal risks similarly in Whites and Asians; however, there was a significant racial discrepancy in all-cause mortality. This distinction may be attributed to the fact that Asian patients exhibited diminished CV protection effects and more renal adverse events with canagliflozin, potentially resulting from the smaller reductions in weight and uric acid. These findings highlight the importance of investigating the impact of race on treatment response to sodium-glucose cotransporter-2 inhibitors and provide more precise treatment strategies.

Food security status and cardiometabolic health by sex/gender and race/ethnicity among adults in the United States.

BACKGROUND: Minoritized racial/ethnic groups and women in the United States (US) are disproportionately burdened by food insecurity, which likely contributes to disparities in cardiovascular health (CVH). Disparities are projected to widen due to the worsening climate crisis that is straining the agricultural system including food supplies. Nonetheless, studies have not investigated the relationship between food security status and 'ideal' CVH in a large, nationally-representative and racially/ethnically diverse US sample. METHODS AND RESULTS: We investigated household food security status in relation to 'ideal' CVH among US adults (N = 157,001) using 2014-2018/2020 National Health Interview Survey data. Food security status was defined as very low, low, marginal, or high. A summed score of 4 health behaviors and 3 clinical factors totaling 7 different measures was dichotomized (yes/no) to assess modified 'ideal' CVH (mICVH). Using Poisson regression with robust variance, we estimated prevalence ratios (PRs) and 95% CIs of mICVH by household food security status. We stratified models by sex/gender and race/ethnicity. Very low food security prevalence was higher among non-Hispanic (NH)-Black (8.0%) compared to Hispanic/Latinx (5.1%), NH-White (3.1%) and NH-Asian (1.7%) adults. The association between very low versus high food security and mICVH was stronger among women (PR = 0.23 [95% CI: 0.17-0.31]) than men (PR = 0.48 [95% CI: 0.35-0.66]). Compared to NH-White adults with high food security, racially/ethnically minoritized groups with very low to high food security were generally less likely (range: [PRvery low = 0.25[95% CI: 0.14-0.44] - [PRhigh = 0.88 [95% CI: 0.79-0.97]) to meet mICVH criteria. CONCLUSIONS: Food insecurity was associated with lower mICVH prevalence and racially/ethnically minoritized groups were disproportionately burdened.

Negative mood is associated with sociobehavioral factors contributing to cardiovascular risk in an immigrant population.

BACKGROUND: After settling in the United States (US), immigrants often accumulate obesity and cardiovascular risk factors. As mood is often associated with health behaviors in the US population, mood may be an important mediating factor in immigrant populations. METHODS: The Healthy Immigrant Community (HIC) study, set in southeast Minnesota, enrolled 475 adult participants in a weight loss intervention designed to reduce cardiovascular risk. Baseline questionnaires assessed mood, nutrition, physical activity, self-efficacy for healthy eating and physical activity, social support, and cohesion. A single-item mood rating of poor or fair was considered "negative", while ratings of good, very good, or excellent were considered "positive". RESULTS: Hispanic/Latino (n = 268) and Somali (n = 181) adults enrolled in HIC completed baseline measures and were included in this analysis. Participants endorsing negative mood compared to positive mood had lower healthy eating scores (p = 0.02), lower physical activity levels (p = 0.03), lower confidence in eating a healthy diet (p = 0.001), and felt less of a sense of belonging to their community (p = 0.01). Those endorsing negative mood reported receiving less social support to eat healthy (p = < 0.001) and be physically active (p = 0.01). They also accessed community resources for healthy eating (p = 0.001) and physical activity (p = < 0.01) less frequently than participants endorsing positive mood. CONCLUSIONS: On self-report, negative mood was associated with less healthy nutrition, lower confidence in eating healthy, sedentary lifestyle, and perceived lack of belonging to the community. Integrating mood management and self-efficacy strategies may enhance the effectiveness of lifestyle interventions to reduce obesity and cardiovascular risk among immigrants who report negative mood. TRIAL REGISTRATION: ClinicalTrials.gov registration: NCT05136339; April 23, 2022.

Cardiovascular Health in Black and Latino Adults With Type 2 Diabetes.

BACKGROUND: The incidence of type 2 diabetes (T2DM) among U.S. adults has been rising annually, with a higher incidence rate in Black and Hispanic adults than in Whites. The American Heart Association (AHA) has defined cardiovascular health according to the achievement of seven health behaviors (smoking, body mass index [BMI], physical activity, diet) and health factors (total cholesterol, blood pressure, fasting glucose). Optimal cardiovascular health has been associated with a lower risk of cardiovascular disease, and awareness of this risk may influence healthy behaviors. OBJECTIVES: This study aimed to assess cardiovascular health in a sample of Black and Hispanic adults (age: 18-40 years) with T2DM and explore the barriers and facilitators to diabetes self-management and cardiovascular health. METHODS: This was an explanatory sequential mixed-method design. The study staff recruited adults with T2DM for the quantitative data followed by qualitative interviews with a subsample of participants using maximum variation sampling. The seven indices of cardiovascular health as defined by the AHA's "Life's Simple 7" were assessed: health behaviors (smoking, BMI, physical activity, diet) and health factors (total cholesterol, blood pressure, A1C). Qualitative interviews were conducted to explore their results as well as the effects of the pandemic on diabetes self-management. Qualitative and quantitative data were integrated into the final analysis phase. RESULTS: The majority of the sample was female, with 63% identifying as Black and 47% as Hispanic. The factor with the lowest achievement of ideal levels was BMI, followed by a healthy diet. Less than half achieved ideal levels of blood pressure or physical activity. Themes that emerged from the qualitative data included the impact of social support, the effects of the pandemic on their lives, and educating themselves about T2DM. DISCUSSION: Achievement of ideal cardiovascular health factors varied, but the achievement of several health factors may be interrelated. Intervening on even one factor while providing social support may improve other areas of cardiovascular health in this population.

The Impact of a Lifestyle Intervention on Cardiometabolic Risk Factors among Postpartum Hispanic Women with Overweight and Obesity in a Randomized Controlled Trial (Proyecto Mamá).

INTRODUCTION: Maternal overweight or obesity has been associated with metabolic syndrome through 1 year postpartum, but it remains unknown whether a culturally-modified, motivationally-targeted, and individually-tailored Lifestyle Intervention could improve postpartum cardiometabolic health among Hispanic women with overweight or obesity. METHODS: Proyecto Mamá was a randomized controlled trial conducted in Western Massachusetts from 2014 to 2020 in which Hispanic women with overweight/obesity were randomized to a Lifestyle Intervention (LI) involving diet and exercise or to a comparison Health and Wellness Intervention (HW). Biomarkers of cardiovascular risk (i.e., lipids, C-reactive protein) and insulin resistance (fasting insulin, glucose, HbA1c, homeostasis model assessment [HOMA-IR], leptin, adiponectin) were measured at baseline (early pregnancy), mid-pregnancy, and 6 weeks, 6 months, and 12 months postpartum. Generalized linear mixed effect models were used to evaluate differences in the change in biomarkers over the course of postpartum follow-up time. RESULTS: In intent-to-treat analyses among eligible women (LI; n=51, HW; n=58) there were no significant differences in changes in biomarkers of CVD risk or insulin resistance over the postpartum year; for example, the intervention effect for total cholesterol was 6.98 (SE: 6.36, p=0.27) and for HbA1c was -0.01 (SE: 0.4, p=0.85). In pooled analyses, regardless of intervention arm, women who participated in any vigorous activity had less of an increase in HbA1c (intervention effect = -0.17, SE: 0.05, p=0.002) compared to those with no vigorous activity, and similarly beneficial associations with other cardiovascular risk biomarkers (p<0.05). DISCUSSION: Women who participated in vigorous activity, regardless of their assigned intervention arm, had more favorable changes in biomarkers of insulin resistance.

Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand.

BACKGROUND: In the age of big data, linked social and administrative health data in combination with machine learning (ML) is being increasingly used to improve prediction in chronic disease, e.g., cardiovascular diseases (CVD). In this study we aimed to apply ML methods on extensive national-level health and social administrative datasets to assess the utility of these for predicting future diabetes complications, including by ethnicity. METHODS: Five ML models were used to predict CVD events among all people with known diabetes in the population of New Zealand, utilizing nationwide individual-level administrative data. RESULTS: The Xgboost ML model had the best predictive power for predicting CVD events three years into the future among the population with diabetes (N = 145,600). The optimization procedure also found limited improvement in prediction by ethnicity (using area under the receiver operating curve, [AUC]). The results indicated no trade-off between model predictive performance and equity gap of prediction by ethnicity (that is improving model prediction and reducing performance gaps by ethnicity can be achieved simultaneously). The list of variables of importance was different among different models/ethnic groups, for example: age, deprivation (neighborhood-level), having had a hospitalization event, and the number of years living with diabetes. DISCUSSION AND CONCLUSIONS: We provide further evidence that ML with administrative health data can be used for meaningful future prediction of health outcomes. As such, it could be utilized to inform health planning and healthcare resource allocation for diabetes management and the prevention of CVD events. Our results may suggest limited scope for developing prediction models by ethnic group and that the major ways to reduce inequitable health outcomes is probably via improved delivery of prevention and management to those groups with diabetes at highest need.

Parameters for delivering ethnically and gender-sensitive primary care in cardiovascular health through telehealth. Systematic review.

OBJECTIVE: To determine the parameters for providing primary care in cardiovascular health, with an ethnic and gender focus through telemedicine. STUDY DESIGN: Systematic Literature Review. METHODS: A systematic review was conducted using databases including PUBMED, Cochrane Library, CINAHL, EMBASE VHL, and other relevant sources. We included articles published in the last 15 years on parameters of telemedicine care with a differential approach focusing on ethnicity and gender. Screening, full-text reading, and information extraction were performed in duplicate and independently, though methodological quality assessment was not conducted. RESULTS: Twenty-eight studies were included, with 46.43% originating from Australia and 50.00% employing a qualitative approach. Thirty-five point seventy-one percent provided operational recommendations, and 32.14% related to the ethnic approach. Seven operational categories were identified: holistic approach to health, flexible approach to health, accessible health services, continuous improvement in service quality, culturally appropriate and qualified workforce, self-determination and empowerment, and community participation. Additionally, five categories were identified pertaining to the ethnic approach: public policy in favor of ancestral knowledge in primary health care, training of community agents and health personnel from an intercultural perspective, complementarity between traditional and western health practices, and the recognition of telehealth's value in intercultural approaches. CONCLUSIONS: There is a need to adjust operational aspects related to the implementation of indigenous public policy, and to increase the number of qualified community human resources to provide holistic, comprehensive, and culturally appropriate care. Regarding gender, there is a necessity to implement public policy based on health determinants that will dismantle barriers to accessing gender-specific services and comprehensively assess cardiovascular risk.