Social Determinants of Cardiovascular Risk Factors Among Asian American Subgroups

BACKGROUND

Social determinants of health (SDOH) play a significant role in the development of cardiovascular risk factors. We investigated SDOH associations with cardiovascular risk factors among Asian American subgroups.

METHODS AND RESULTS

We utilized the National Health Interview Survey, a nationally representative survey of US adults, years 2013 to 2018. SDOH variables were categorized into economic stability, neighborhood and social cohesion, food security, education, and health care utilization. SDOH score was created by categorizing 27 SDOH variables as 0 (favorable) or 1 (unfavorable). Self-reported cardiovascular risk factors included diabetes, high cholesterol, high blood pressure, obesity, insufficient physical activity, suboptimal sleep, and nicotine exposure. Among 6395 Asian adults aged ≥18 years, 22.1% self-identified as Filipino, 21.6% as Asian Indian, 21.0% as Chinese, and 35.3% as other Asian. From multivariable-adjusted logistic regression models, each SD increment of SDOH score was associated with higher odds of diabetes among Chinese (odds ratio [OR], 1.45; 95% CI, 1.04-2.03) and Filipino (OR, 1.24; 95% CI, 1.02-1.51) adults; high blood pressure among Filipino adults (OR, 1.28; 95% CI, 1.03-1.60); insufficient physical activity among Asian Indian (OR, 1.42; 95% CI, 1.22-1.65), Chinese (OR, 1.58; 95% CI, 1.33-1.88), and Filipino (OR, 1.24; 95% CI, 1.06-1.46) adults; suboptimal sleep among Asian Indian adults (OR, 1.20; 95% CI, 1.01-1.42); and nicotine exposure among Chinese (OR, 1.56; 95% CI, 1.15-2.11) and Filipino (OR, 1.50; 95% CI, 1.14-1.97) adults.

CONCLUSIONS

Unfavorable SDOH are associated with higher odds of cardiovascular risk factors in Asian American subgroups. Culturally specific interventions addressing SDOH may help improve cardiovascular health among Asian Americans.

Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic.

METHODS

The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic.

FINDINGS

Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021.

INTERPRETATION

Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades.

FUNDING

Bill & Melinda Gates Foundation.

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations.

METHODS

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds.

FINDINGS

The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles.

INTERPRETATION

Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere.

FUNDING

Bill & Melinda Gates Foundation.

Trends in Cardiovascular Disease Mortality Rates and Excess Deaths, 2010-2022

INTRODUCTION

Cardiovascular disease (CVD) mortality increased during the initial years of the COVID-19 pandemic, but whether these trends endured in 2022 is unknown. This analysis describes temporal trends in CVD death rates from 2010 to 2022 and estimates excess CVD deaths from 2020 to 2022.

METHODS

Using national mortality data from the National Vital Statistics System, deaths among adults aged ≥35 years were classified by underlying cause of death International Classification of Diseases 10th Revision codes for CVD (I00-I99), heart disease (I00-I09, I11, I13, I20-I51), and stroke (I60-I69). Analyses in Joinpoint software identified trends in CVD age-adjusted mortality rates (AAMR) per 100,000 and estimated the number of excess CVD deaths from 2020 to 2022.

RESULTS

During 2010-2022, 10,951,403 CVD deaths occurred (75.6% heart disease, 16.9% stroke). The national CVD AAMR declined by 8.9% from 2010 to 2019 (456.6-416.0 per 100,000) and then increased by 9.3% from 2019 to 2022 to 454.5 per 100,000, which approximated the 2010 rate (456.7 per 100,000). From 2020 to 2022, 228,524 excess CVD deaths occurred, which was 9% more CVD deaths than expected based on trends from 2010 to 2019. Results varied by CVD subtype and population subgroup.

CONCLUSIONS

Despite stabilization of the public health emergency, declines in CVD mortality rates reversed in 2020 and remained high in 2022, representing almost a decade of lost progress and over 228,000 excess CVD deaths. Findings underscore the importance of prioritizing prevention and management of CVD to improve outcomes.

Fixed-dose combination therapy for the prevention of atherosclerotic cardiovascular disease

Fixed-dose combination (FDC) therapy, also known as polypill therapy, targets risk factors for atherosclerotic cardiovascular disease (ASCVD) and has been proposed as a strategy to reduce global ASCVD burden. Here we conducted a systematic search for relevant studies from 2016-2022 to assess the effects of FDC therapy for prevention of ASCVD. The studies selected include randomized trials evaluating FDC therapy with at least one blood pressure-lowering drug and one lipid-lowering drug. The study data were independently extracted, the quality of evidence was appraised by multiple reviewers and effect estimates were pooled using a fixed-effect meta-analysis when statistical heterogeneity was low to moderate. The main outcomes of the analysis were all-cause mortality, fatal and nonfatal ASCVD events, adverse events, systolic blood pressure, low-density lipoprotein cholesterol and adherence. Among 26 trials (n = 27,317 participants, 43.2% female and mean age range 52.9-76.0), FDC therapy was associated with lower low-density lipoprotein cholesterol and systolic blood pressure, with higher rates of adherence and adverse events in both primary and mixed secondary prevention populations. For studies with a mostly primary prevention population, FDC therapy was associated with lower risk of all-cause mortality by 11% (5.6% versus 6.3%; relative risk (risk ratio) of 0.89; 95% confidence interval 0.78 to 1.00; I2 = 0%; four trials and 16,278 participants) and risk of fatal and nonfatal ASCVD events by 29% (6.1% versus 8.4%; relative risk (risk ratio) of 0.71; 95% confidence interval 0.63 to 0.79; I2 = 0%; five trials and 15,503 participants). One adequately powered trial in an exclusively secondary prevention population showed that FDC therapy reduced the risk of major adverse cardiovascular events by 24%. These findings support adoption and implementation of polypills to lower risk for all-cause mortality and ASCVD.

Association of cardiovascular health with subclinical coronary atherosclerosis progression among five racial and ethnic groups: The MASALA and MESA studies

BACKGROUND AND AIMS

South Asian adults (SA) are at higher risk for atherosclerotic cardiovascular disease (ASCVD) compared with other racial/ethnic groups. Life's Simple 7 (LS7) is a guideline-recommended, cardiovascular health (CVH) construct to guide optimization of cardiovascular risk factors. We sought to assess if the LS7 metrics predict coronary artery calcium (CAC) incidence and progression in asymptomatic SA compared with four other racial/ethnic groups.

METHODS

We assessed the distribution of CVH metrics (inadequate: score 0-8, average: 9-10, optimal: 11-14, and per 1-unit higher score) and its association with incidence and progression of CAC among South Asians in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study compared with other race/ethnic groups from the Multiethnic Study of Atherosclerosis (MESA).

RESULTS

We included 810 SA, 2622 Non-Hispanic White (NHW), and 4192 Other adults (collectively 1893 Black, 1496 Hispanic and 803 Chinese American participants, respectively). SA and White participants compared to Other race/ethnicity groups were more likely to have optimal CVH metrics (26% SA vs 28% White participants vs 21% Other, respectively, p < 0.001). Similar to NHW and the Other race/ethnic group, SA participants with optimal baseline CVH were less likely to develop incident CAC on follow-up evaluation compared to participants with inadequate CVH metrics, optimal CVH/CAC = 0: 24% SA, 28% NHW, and 15% Other (p < 0.01). In multivariable linear and logistic regression models, there was no difference in annualized CAC incidence or progression between each race/ethnic group (pinteraction = 0.85 and pinteraction = 0.17, respectively). Optimal blood pressure control was associated with lower CAC incidence among SA participants [OR (95% CI): 0.30 (0.14-0.63), p < 0.01] and Other race and ethnicity participants [0.32 (0.19-0.53), p < 0.01].

CONCLUSIONS

Optimal CVH metrics are associated with lower incident CAC and CAC progression among South Asians, similar to other racial groups/ethnicities. These findings underscore the importance of optimizing and maintaining CVH to mitigate the future risk of subclinical atherosclerosis in this higher risk population.

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period.

METHODS

22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.

FINDINGS

Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.

INTERPRETATION

Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic.

FUNDING

Bill & Melinda Gates Foundation.

Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019

Importance

Stroke is a leading cause of death and disability in the US. Accurate and updated measures of stroke burden are needed to guide public health policies.

Objective

To present burden estimates of ischemic and hemorrhagic stroke in the US in 2019 and describe trends from 1990 to 2019 by age, sex, and geographic location.

Design, Setting, and Participants

An in-depth cross-sectional analysis of the 2019 Global Burden of Disease study was conducted. The setting included the time period of 1990 to 2019 in the US. The study encompassed estimates for various types of strokes, including all strokes, ischemic strokes, intracerebral hemorrhages (ICHs), and subarachnoid hemorrhages (SAHs). The 2019 Global Burden of Disease results were released on October 20, 2020.

Exposures

In this study, no particular exposure was specifically targeted.

Main Outcomes and Measures

The primary focus of this analysis centered on both overall and age-standardized estimates, stroke incidence, prevalence, mortality, and DALYs per 100 000 individuals.

Results

In 2019, the US recorded 7.09 million prevalent strokes (4.07 million women [57.4%]; 3.02 million men [42.6%]), with 5.87 million being ischemic strokes (82.7%). Prevalence also included 0.66 million ICHs and 0.85 million SAHs. Although the absolute numbers of stroke cases, mortality, and DALYs surged from 1990 to 2019, the age-standardized rates either declined or remained steady. Notably, hemorrhagic strokes manifested a substantial increase, especially in mortality, compared with ischemic strokes (incidence of ischemic stroke increased by 13% [95% uncertainty interval (UI), 14.2%-11.9%]; incidence of ICH increased by 39.8% [95% UI, 38.9%-39.7%]; incidence of SAH increased by 50.9% [95% UI, 49.2%-52.6%]). The downturn in stroke mortality plateaued in the recent decade. There was a discernible heterogeneity in stroke burden trends, with older adults (50-74 years) experiencing a decrease in incidence in coastal areas (decreases up to 3.9% in Vermont), in contrast to an uptick observed in younger demographics (15-49 years) in the South and Midwest US (with increases up to 8.4% in Minnesota).

Conclusions and Relevance

In this cross-sectional study, the declining age-standardized stroke rates over the past 3 decades suggest progress in managing stroke-related outcomes. However, the increasing absolute burden of stroke, coupled with a notable rise in hemorrhagic stroke, suggests an evolving and substantial public health challenge in the US. Moreover, the significant disparities in stroke burden trends across different age groups and geographic locations underscore the necessity for region- and demography-specific interventions and policies to effectively mitigate the multifaceted and escalating burden of stroke in the country.

Social and psychosocial determinants of racial and ethnic differences in cardiovascular health: The MASALA and MESA studies

Background

Social and psychosocial determinants are associated with cardiovascular health (CVH).

Objectives

To quantify the contributions of social and psychosocial factors to racial/ethnic differences in CVH.

Methods

In the Multi-Ethnic Study of Atherosclerosis and Mediators of Atherosclerosis in South Asians Living in America cohorts, Kitagawa-Blinder-Oaxaca decomposition quantified the contributions of social and psychosocial factors to differences in mean CVH score (range 0-14) in Black, Chinese, Hispanic, or South Asian compared with White participants.

Results

Among 7,978 adults (mean age 61 [SD 10] years, 52 % female), there were 1,892 Black (mean CVH score for decomposition analysis 7.96 [SD 2.1]), 804 Chinese (CVH 9.69 [1.8]), 1,496 Hispanic (CVH 8.00 [2.1]), 1,164 South Asian (CVH 9.16 [2.0]), and 2,622 White (CVH 8.91 [2.1]) participants. The factors that were associated with the largest magnitude of explained differences in mean CVH score were income for Black participants (if mean income in Black participants were equal to White participants, Black participants' mean CVH score would be 0.14 [SE 0.05] points higher); place of birth for Chinese participants (if proportion of US-born and foreign-born individuals among Chinese adults were equivalent to White participants, Chinese participants' mean CVH score would be 0.22 [0.10] points lower); and education for Hispanic and South Asian participants (if educational attainment were equivalent to White participants, Hispanic and South Asian participants' mean CVH score would be 0.55 [0.11] points higher and 0.37 [0.11] points lower, respectively).

Conclusions

In these multiethnic US cohorts, social and psychosocial factors were associated with racial/ethnic differences in CVH.

An Age-Period-Cohort Analysis of Cardiovascular Disease Mortality in the United States from 1999 to 2018

BACKGROUND

Although cardiovascular disease mortality rates in the United States declined from the 1970s to 2010s, they have now plateaued. The independent effects of age, period, and birth year (cohort) on cardiovascular disease mortality have not previously been defined.

METHODS

We used data from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research to examine the effects of age, period, and cohort on cardiovascular disease mortality among individuals aged 20-84 years from 1999 to 2018, prior to the onset of the coronavirus disease 2019 pandemic. Age effects were described as cardiovascular disease-related mortality rates in each 5-year age group adjusted for year of death (period) and year of birth (cohort). Period and cohort effects were quantified as adjusted rate ratios (RRs) comparing cardiovascular disease mortality rates in each period and cohort to the reference periods and reference cohort (ie, 1919 birth cohort), respectively.

RESULTS

Between 1999 to 2018, there were 10,404,327 cardiovascular disease deaths among US adults. In each individual birth cohort, the age-specific cardiovascular disease mortality rates were stable between ages 20 through 39 years. Age-specific rates were higher for each year older between ages 40 through 84 years adjusting for period effects. The period cardiovascular disease mortality rates were lower in later periods (2004-2008 period RR 0.87, 95% confidence interval [CI] 0.85 to 0.88; 2009-2013 period RR 0.78, 95% CI 0.76 to 0.80) compared with the reference period (1999 to 2003) and plateaued thereafter. The cohort cardiovascular disease mortality rates were progressively lower in more recent birth cohorts (1924 birth cohort RR 0.85, 95% CI 0.83 to 0.87; 1974 birth cohort RR 0.29, 95% CI 0.27 to 0.32) compared with the reference cohort (1919 cohort) and plateaued thereafter.

CONCLUSION

Although cardiovascular disease mortality rates declined rapidly among those born between 1919 and 1974, improvements plateaued in birth cohorts thereafter even adjusted for period effects.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Rural-urban differences in pulmonary embolism mortality by race-ethnicity and sex in the United States, 1999-2020

INTRODUCTION

Racial and ethnic differences in pulmonary embolism (PE) mortality within rural and urban regions in the U.S. have not previously been described. PE mortality may vary across regions and urbanization given disparities in social and structural determinants and comorbid disease.

METHODS

Using surveillance data from the Centers for Disease Control and Prevention, age-adjusted mortality rates (AAMR) related to PE were calculated for rural and urban regions in the U.S., in non-Hispanic Black and White women and men, between 1999 and 2020.

RESULTS

Among 137,946 deaths in urban regions and 41,333 deaths in rural regions due to PE during this period, AAMR decreased 1.8% per year in urban regions from 3.1 to 100,000 in 1999 to 2.2 per 100,000 in 2020, and decreased 1% per year in rural regions from 4.3 to 100,000 in 1999 to 3.3 per 100,000 in 2020. Since 2008, AAMR from PE increased in non-Hispanic White males in rural and urban regions, decreased in non-Hispanic Black females in rural regions, and otherwise remained stagnant in all other race-sex groups.

CONCLUSIONS

AAMR from PE was higher in rural compared with urban individuals, with differences by race and sex. Mortality rates remained stagnant over the last decade in non-Hispanic Black adults and non-Hispanic White females and increased in non-Hispanic White males.

Maternal Nativity and Preterm Birth

Importance

Preterm birth is a major contributor to neonatal morbidity and mortality, and considerable differences exist in rates of preterm birth among maternal racial and ethnic groups. Emerging evidence suggests pregnant individuals born outside the US have fewer obstetric complications than those born in the US, but the intersection of maternal nativity with race and ethnicity for preterm birth is not well studied.

Objective

To determine if there is an association between maternal nativity and preterm birth rates among nulliparous individuals, and whether that association differs by self-reported race and ethnicity of the pregnant individual.

Design, Setting, and Participants

This was a nationwide, cross-sectional study conducted using National Center for Health Statistics birth registration records for 8 590 988 nulliparous individuals aged 15 to 44 years with singleton live births in the US from 2014 to 2019. Data were analyzed from March to May 2022.

Exposures

Maternal nativity (non-US-born compared with US-born individuals as the reference, wherein US-born was defined as born within 1 of the 50 US states or Washington, DC) in the overall sample and stratified by self-reported ethnicity and race, including non-Hispanic Asian and disaggregated Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Pacific Islander, Vietnamese, and other Asian), non-Hispanic Black, Hispanic and disaggregated Hispanic subgroups (Cuban, Mexican, Puerto Rican, and other Hispanic), and non-Hispanic White.

Main Outcomes and Measures

The primary outcome was preterm birth (<37 weeks of gestation) and the secondary outcome was very preterm birth (<32 weeks of gestation).

Results

Of 8 590 988 pregnant individuals included (mean [SD] age at delivery, 28.3 [5.8] years in non-US-born individuals and 26.2 [5.7] years in US-born individuals; 159 497 [2.3%] US-born and 552 938 [31.2%] non-US-born individuals self-identified as Asian or Pacific Islander, 1 050 367 [15.4%] US-born and 178 898 [10.1%] non-US-born individuals were non-Hispanic Black, 1 100 337 [16.1%] US-born and 711 699 [40.2%] non-US-born individuals were of Hispanic origin, and 4 512 294 [66.1%] US-born and 328 205 [18.5%] non-US-born individuals were non-Hispanic White), age-standardized rates of preterm birth were lower among non-US-born individuals compared with US-born individuals (10.2%; 95% CI, 10.2-10.3 vs 10.9%; 95% CI, 10.9-11.0) with an adjusted odds ratio (aOR) of 0.90 (95% CI, 0.89-0.90). The greatest relative difference was observed among Japanese individuals (aOR, 0.69; 95% CI, 0.60-0.79) and non-Hispanic Black individuals (aOR, 0.74; 0.73-0.76) individuals. Non-US-born Pacific Islander individuals experienced higher preterm birth rates compared with US-born Pacific Islander individuals (aOR, 1.15; 95% CI, 1.04-1.27). Puerto Rican individuals born in Puerto Rico compared with those born in US states or Washington, DC, also had higher preterm birth rates (aOR, 1.07; 95% CI, 1.03-1.12).

Conclusions and Relevance

Overall preterm birth rates were lower among non-US-born individuals compared with US-born individuals. However, there was substantial heterogeneity in preterm birth rates across maternal racial and ethnic groups, particularly among disaggregated Asian and Hispanic subgroups.

The Role of Family Social Networks in Cardiovascular Health Behaviors Among Asian Americans, Native Hawaiians, and Pacific Islanders

Asian American, Native Hawaiians, and Other Pacific Islander (AANHPI) populations experience significant disparities in cardiovascular health. AANHPI populations also have strong, family-centered social relationships and networks. Since social networks may influence health behaviors, this review aimed to summarize research on the relationship between family social networks and cardiovascular health behaviors among AANHPI individuals. Current evidence suggests that family social network structures may play a particularly important role in smoking, dietary pattern, and physical activity behaviors among AANHPI individuals. Family networks may hinder or promote healthy behaviors through several social network mechanisms including social support, social influence, and social control. These effects vary across different AANHPI subgroups. Recommendations for future research on the role of social networks in health behaviors among AANHPI individuals are provided. Drawing on methodological advances and interventions that leverage social networks in AANHPI populations may be an avenue to improve health and reduce disparities.

Precapillary Pulmonary Arterial Hypertension Despite Contrary Anchoring Bias

We present the case of a patient with risk factors and a noninvasive evaluation that suggested postcapillary pulmonary hypertension, but in fact had invasive hemodynamics consistent with precapillary pulmonary hypertension. A thorough hemodynamic evaluation of pulmonary hypertension must be performed, as treatment is linked to the underlying physiology. (Level of Difficulty: Advanced.).

Physical activity and TV viewing parenting practices for toddlers among South Asian and white families in the UK: born in Bradford 1000 study

BACKGROUND

Children of South Asian (SA) origin in the UK have lower levels of physical activity (PA), compared to their White counterparts. Parents play an important role in establishing PA habits among young children. The aim of this study was to compare PA and television (TV) viewing parenting practices for young children between SA British (SAB) and White British (WB) parents living in the UK.

METHODS

We conducted a secondary analysis of the Born in Bradford (BiB) 1000 study, using survey data at child ages 24 and 36 months. The study sample included three groups of mothers (n = 1,149): foreign-born SAB (n = 458), UK-born SAB (n = 276), and WB (n = 455). Mothers completed a survey about parenting practices (i.e., PA supports, PA restrictions, TV viewing restrictions) at child age 24 months and child PA and TV viewing behaviors at child ages 24 and 36 months. Parenting practices were compared among the three groups. Multivariable linear regression analyses compared children's weekly walking frequency and daily TV viewing hours by parenting practices in the three groups.

RESULTS

The foreign-born SAB group showed the lowest frequencies of PA-supportive parenting practices (verbal encouragement: 3.7 ± 3.1 times/week; logistic support: 1.5 ± 1.8 times/week) and the highest frequencies of PA-restrictive parenting practices (7.8 ± 7.7 times/week) among the three groups (p < 0.01). Children of Foreign-born SAB mothers had the most frequent TV watching during a mealtime (4.0 ± 3.1 times/week) among the three groups (p < 0.01). Less frequent PA-supportive parenting practices and SA ethnicity were associated with lower walking frequency at 24 and 36 months of age among children (p < 0.01). More frequent exposure to TV at mealtimes and SA ethnicity were associated with higher TV viewing time at 24 and 36 months of age among children (p < 0.01).

CONCLUSIONS

This study demonstrated that SAB parents, particularly those who are foreign-born, apply parenting practices for their young children that are less supportive of PA and more supportive of TV viewing, and their children have lower PA and higher TV viewing time, compared with their WB counterparts.

Race-Based Differences in ST-Segment-Elevation Myocardial Infarction Process Metrics and Mortality From 2015 Through 2021: An Analysis of 178 062 Patients From the American Heart Association Get With The Guidelines-Coronary Artery Disease Registry

BACKGROUND

Systems of care have been developed across the United States to standardize care processes and improve outcomes in patients with ST-segment-elevation myocardial infarction (STEMI). The effect of contemporary STEMI systems of care on racial and ethnic disparities in achievement of time-to-treatment goals and mortality in STEMI is uncertain.

METHODS

We analyzed 178 062 patients with STEMI (52 293 women and 125 769 men) enrolled in the American Heart Association Get With The Guidelines-Coronary Artery Disease registry between January 1, 2015, and December 31, 2021. Patients were stratified into and outcomes compared among 3 racial and ethnic groups: non-Hispanic White, Hispanic White, and Black. The primary outcomes were the proportions of patients achieving the following STEMI process metrics: prehospital ECG obtained by emergency medical services; hospital arrival to ECG obtained within 10 minutes for patients not transported by emergency medical services; arrival-to-percutaneous coronary intervention time within 90 minutes; and first medical contact-to-device time within 90 minutes. A secondary outcome was in-hospital mortality. Analyses were performed separately in women and men, and all outcomes were adjusted for age, comorbidities, acuity of presentation, insurance status, and socioeconomic status measured by social vulnerability index based on patients' county of residence.

RESULTS

Compared with non-Hispanic White patients with STEMI, Hispanic White patients and Black patients had lower odds of receiving a prehospital ECG and achieving targets for door-to-ECG, door-to-device, and first medical contact-to-device times. These racial disparities in treatment goals were observed in both women and men, and persisted in most cases after multivariable adjustment. Compared with non-Hispanic White women, Hispanic White women had higher adjusted in-hospital mortality (odds ratio, 1.39 [95% CI, 1.12-1.72]), whereas Black women did not (odds ratio, 0.88 [95% CI, 0.74-1.03]). Compared with non-Hispanic White men, adjusted in-hospital mortality was similar in Hispanic White men (odds ratio, 0.99 [95% CI, 0.82-1.18]) and Black men (odds ratio, 0.96 [95% CI, 0.85-1.09]).

CONCLUSIONS

Race- or ethnicity-based disparities persist in STEMI process metrics in both women and men, and mortality differences are observed in Hispanic White compared with non-Hispanic White women. Further research is essential to evolve systems of care to mitigate racial differences in STEMI outcomes.

Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050.

METHODS

Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively.

FINDINGS

In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%.

INTERPRETATION

Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers.

FUNDING

Bill & Melinda Gates Foundation.

Cardiovascular Health by Life's Essential 8 and Associations With Coronary Artery Calcium in South Asian American Adults in the MASALA Study

South Asian Americans experience high cardiovascular disease risk. We evaluated the distribution and correlates of cardiovascular health (CVH) summarized by the Life's Essential 8 (LE8) score among South Asian adults. In participants of the MASALA (Mediators of Atherosclerosis in South Asians Living in America) study, the association of demographic, social, and cultural factors with LE8 score was evaluated with t tests and analysis of variance. The association of LE8 score with coronary artery calcium (CAC) was evaluated with adjusted logistic regression. There were 556 women (mean age 55.9 years [SD 8.7], mean LE8 score 67.2 (SD 12.6) and 608 men (mean age 57.5 years [SD 9.9], mean LE8 score 61.9 (SD 13.1). Among women and men, the LE8 CVH score was higher in participants with higher annual family income, higher educational attainment, and fewer depressive symptoms. Overall, there was 26% lower odds of any CAC for each 10-point higher LE8 score (odds ratios [OR] 0.74, 95% confidence intervals [CI] 0.66 to 0.83), with similar magnitude of association in women and men. Participants with a high LE8 CVH score had 82% lower odds of CAC (OR 0.18, 95% CI 0.09 to 0.33), and participants with an intermediate LE8 CVH score had 38% lower odds of CAC (OR 0.62, 95% CI 0.41 to 0.94) than did participants with a low LE8 CVH score, with similar findings stratified by gender. In conclusion, in this cohort of South Asian Americans, most adults had suboptimal CVH assessed by the LE8 score. Higher LE8 score correlated with lower odds of any CAC.

Clinical programs for cardiometabolic health for South Asian patients in the United States: A review of key program components

Medical literature shows that South Asians have approximately a 2-fold higher risk of atherosclerotic cardiovascular disease (CVD) compared with other populations. Given this high prevalence, clinical programs to promote cardiovascular health have emerged in the United States that are dedicated to clinical care for South Asian individuals. In this review, we have summarized the key characteristics of clinical programs in the U.S. dedicated to preventing and managing CVD in South Asian American patients. These clinical centers have many unique components in common that are catered to South Asian patient populations including ethnicity concordance of clinical providers, intensive cardiovascular screening protocols with laboratory studies and potentially genetic testing, dieticians and nutritionists who are familiar with South Asian-style dietary patterns, health coaches to support behavior change, community outreach programs, and involvement in clinical research to learn further about risk factors, prevention, and treatment of cardiovascular disease in South Asian populations. There are still many evidence and programmatic gaps left to uncover in the prevention, diagnosis, and management of CVD in South Asian. This review provides guidance for important features, barriers, and facilitators for future cardiovascular centers to develop in the United States where they can serve South Asian populations.

Diabetes-Related Cardiovascular and All-Cause Mortality in Asian American Subgroups

Background

Asian Americans experience heterogeneity in cardiovascular risk factors and cardiovascular disease, with a particularly high burden of diabetes in several Asian subgroups.

Objectives

The objectives of this study were to quantify diabetes-related mortality in Asian American subgroups and compare this with Hispanic, non-Hispanic Black, and non-Hispanic White individuals.

Methods

Using national-level vital statistics data and concurrent population estimates, age-standardized mortality rates and proportional mortality from diabetes-related mortality were calculated for non-Hispanic Asian (and subgroups: Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese), Hispanic, non-Hispanic Black, and non-Hispanic White populations in the United States, 2018-2021.

Results

Diabetes-related deaths numbered 45,249 in non-Hispanic Asian, 159,279 in Hispanic, 209,281 in non-Hispanic Black, and 904,067 in non-Hispanic White individuals. Among Asian Americans, age-standardized mortality rates of diabetes-related mortality with cardiovascular disease as underlying cause ranged from 10.8 (95% CI: 9.9-11.6) per 100,000 in Japanese females to 19.9 (95% CI: 18.9-20.9) per 100,000 in Filipina females, and from 15.3 (95% CI: 13.9-16.8) per 100,000 in Korean males to 37.8 (95% CI: 36.1-39.5) per 100,000 in Filipino males. The proportion of all deaths related to diabetes was higher in all Asian subgroups (9.7%-16.4% for females; 11.8%-19.2% for males) compared with non-Hispanic Whites (8.5% for females; 10.7% for males). The highest proportion of diabetes-related deaths occurred in Filipino adults.

Conclusions

There was an approximately 2-fold variation in diabetes-related mortality among Asian American subgroups, with Filipino adults experiencing the greatest burden. All Asian subgroups experienced higher proportional mortality for diabetes-related mortality compared with non-Hispanic White individuals.

Association of American Identity with Cardiovascular Health in South Asian Americans: The MASALA Study

Background

Ethnic and national identity may influence cardiovascular health (CVH)-related behaviors, such as dietary preference. To better understand how acculturation is related to CVH among South Asian American adults, we evaluated the association of self-rated American identity with CVH factors among participants of the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study.

Methods

Multivariable linear regression quantified the associations of self-rated American identity [1 (low American identity) to 10 (high American identity)] with CVH factors, including measures of cholesterol, blood pressure, and blood glucose. The role of diet quality, physical activity, and social support in mediating these associations was evaluated.

Results

Participants (n = 771) lived in the United States for an average of 27 (SD 11) years. The mean self-rated American identity score was 5.5 (2.4). After adjustment, a 5-point higher American identity score was associated with 6.5 mg/dL higher low-density lipoprotein cholesterol, 6.6 mg/dL higher total cholesterol, 2.9 mmHg higher systolic blood pressure, and 1.4 mmHg higher diastolic blood pressure. Accounting for diet quality, physical activity, or social support does not alter these associations.

Conclusions

Higher self-rated American identity is associated with worse CVH factors among South Asian American adults.

Obesity and Cardiovascular Risk among South Asian Americans

Purpose of review

South Asian Americans experience higher cardiometabolic risk and disproportionately high rates of cardiovascular disease (CVD) compared to other racial and ethnic groups in the United States. The purpose of this review is to summarize recent evidence about the role of obesity in CVD risk in South Asian Americans and identify key evidence gaps and future directions for research and interventions for obesity in this group.

Recent findings

South Asian Americans are predisposed to abdominal obesity and have a higher distribution of visceral fat, intermuscular fat, and intrahepatic fat compared to adults of other race and ethnic groups. In this population, the risk for cardiometabolic disease appears to be elevated even at a normal body mass index. Social, cultural, religious, interpersonal, and environmental factors are related to obesity and obesity-related behaviors among South Asian Americans.

Summary

There is a relatively high prevalence of obesity in South Asian-origin populations in the United States, who have unique socio-cultural determinants of overweight and obesity. Future research should clarify why the risk for metabolic disease and CVD is elevated at normal BMI in the South Asian American population, and environmental and other structural factors that may influence obesity in this group. Interventions must be adapted to the social and cultural context of South Asian Americans to improve effectiveness and implementation.

Identification and Management of Atherosclerotic Cardiovascular Disease Risk in South Asian Populations in the U.S

South Asians (SAs, individuals with ancestry from Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka) are among the fastest growing ethnic subgroups in the United States. SAs typically experience a high prevalence of diabetes, abdominal obesity, and hypertension, among other cardiovascular disease risk factors, which are often under recognized and undermanaged. The excess coronary heart disease risk in this growing population must be critically assessed and managed with culturally appropriate preventive services. Accordingly, this scientific document prepared by a multidisciplinary group of clinicians and investigators in cardiology, internal medicine, pharmacy, and SA-centric researchers describes key characteristics of traditional and nontraditional cardiovascular disease risk factors, compares and contrasts available risk assessment tools, discusses the role of blood-based biomarkers and coronary artery calcium to enhance risk assessment and prevention strategies, and provides evidenced-based approaches and interventions that may reduce coronary heart disease disparities in this higher-risk population.

Abstract P361: Cardiovascular Health in South Asian American Adults in the MASALA Study: Updated Metrics Using the Life’s Essential 8 Definitions

Introduction: The AHA Life’s Simple 7 (LS7) score was recently updated to the Life’s Essential 8 (LE8) score which revised cardiovascular health (CVH) scoring, including accounting for Asian-specific body mass index, secondhand smoke exposure, and sleep. We evaluated CVH in South Asian American participants of the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study.

Methods: At the MASALA baseline exam, median LE8 CVH score was calculated across levels of the LS7 score. Age- and sex-adjusted mean LE8 CVH score was compared by income, education, and country of birth using linear regression. Logistic regression evaluated the age- and sex-adjusted association of LE8 CVH with prevalent coronary artery calcium (CAC) score greater than 0. Sleep duration was not available, so the LE8 score was calculated with the 7 original CVH factors.

Results: Among 1,093 South Asian American adults in the MASALA Study (48.5% female, mean age 56.7 [SD 9.4] years), mean LE8 CVH score was 68.7 (SD 11.6). The LE8 and LS7 CVH scores were significantly correlated (r=0.78, p<0.01). Median (interquartile range) LE8 score across levels of LS7 score is shown in the Figure. Mean adjusted LE8 score was significantly higher (p<0.01) among those with annual income ≥$75,000 vs. <$75,000 (70.0 [11.6] vs. 65.7 [10.9]) and those with more vs. less than college education (69.5 [11.3] vs. 67.7 [11.8]). Mean LE8 scores significantly varied by place of birth (Bangladesh 69.3 [14.8]; India 69.2 [11.3]; Pakistan 61.0 [11.7]; Sri Lanka 63.9 [11.7]; United States 68.2 [13.7]; p<0.01). A 10-point higher LE8 score was associated with lower odds of prevalent CAC (OR 0.67 [95% CI 0.58-0.76]). Odds of any CAC was higher for participants with low (score 0-49) or moderate (score 50-80) vs. high (score 80-100) CVH (low: OR 5.43 [2.51-11.77]; moderate: OR 3.23 [2.07-5.06]).

Conclusions: The LE8 CVH score is highly correlated with the LS7 CVH score among South Asian American adults, varies across sociodemographic factors, and is associated with odds of prevalent CAC.

Abstract P360: Social and Psychosocial Determinants of Racial and Ethnic Differences in Cardiovascular Health: The MESA and MASALA Studies

Background: Social and psychosocial factors are associated with cardiovascular health (CVH) and may underlie race/ethnic differences in CVH. Quantifying the contribution of individual-level social and psychosocial factors to racial and ethnic differences in CVH may guide strategies to reduce disparities.

Methods: In the MESA and MASALA cohorts, Kitagawa-Blinder-Oaxaca decomposition quantified the contributions of social and psychosocial factors to differences in mean CVH score (range 0-14, with 14 indicating optimal CVH) in Black, Chinese, Hispanic, or South Asian compared with White participants.

Results: Among 7,978 adults (mean age 61 [SE 10] years, 52% female), there were 1,892 Black (mean CVH score 7.96), 804 Chinese (CVH 9.69), 1,496 Hispanic (CVH 8.00), 1,164 South Asian (CVH 9.16), and 2,622 White (CVH 8.91) participants. The factors that statistically contributed the most to explained differences in mean CVH score were income for Black participants (if mean income in Black participants were equivalent to White participants, Black participants’ mean CVH score would be 0.14 points higher, p<0.05); place of birth for Chinese participants (if proportion of US-born and foreign-born individuals among Chinese adults were equivalent to White participants, Chinese participants’ mean CVH score would be 0.22 points lower, p<0.05); and education for Hispanic and South Asian participants (if educational attainment were equivalent to White participants, Hispanic and South Asian participants’ mean CVH score would be 0.55 points higher and 0.37 points lower, respectively, p<0.05 for both).

Conclusions: In this multiethnic US cohort, social and psychosocial factors statistically explained racial and ethnic differences in CVH. Socioeconomic and immigration-related factors contributed the largest magnitude to CVH differences between race and ethnic groups.

Abstract 39: Association of Cardiovascular Health With Time Lived Free of Coronary Artery Calcium

Introduction: Zero coronary artery calcium (CAC) is associated with lower risk of cardiovascular disease. More time lived without CAC may delay coronary artery disease morbidity, but prediction of when CAC will first develop is not well understood. To inform cardiovascular prevention, we evaluated how cardiovascular health (CVH) relates to time lived without CAC.

Methods: In Multi-Ethnic Study of Atherosclerosis (MESA) participants with zero CAC at baseline followed up to 10 years, we used Kaplan-Meier curves to estimate restricted mean survival time since study entry lived with zero CAC, by baseline CVH per Life’s Simple 7 metrics categorized as high (score 12-14), moderate (8-11), and low (0-7), and stratified by sex and age (45-64, 65-84 years).

Results: Among 3416 participants without CAC at baseline (63% female, mean age 58 [SD 9] years, mean CVH score 8.8 [2.1]), mean years lived with zero CAC was 4.9 (SD 3.5) years. Women with high CVH lived on average 6.6 (95% CI 6.4-6.8) years with zero CAC, with moderate CVH 6.2 (6.1-6.3) years with zero CAC, and with low CVH 5.6 (5.3-5.8) years with zero CAC. Men with high CVH lived on average 6.4 (5.9-6.9) years with zero CAC, with moderate CVH 6.1 (5.9-6.3) years with zero CAC, and with low CVH 5.5 (5.1-5.9) years with zero CAC (Figure A). Among participants aged 45-64 years, those with high CVH lived on average 7.4 (7.1-7.6) years with zero CAC, with moderate CVH 6.8 (6.6-6.9) years with zero CAC, and with low CVH 5.9 (5.7-6.2) years with zero CAC. Among participants aged 65-84 years, those with high CVH lived on average 5.1 (4.5-5.7) years with zero CAC, with moderate CVH 5.2 (5.0-5.4) years with zero CAC, and with low CVH 4.9 (4.6-5.2) years with zero CAC (Figure B).

Conclusions: High CVH was associated with longer time lived with zero CAC in women and men. Adults aged 45-64 years with high or intermediate CVH at baseline had longer time lived with zero CAC compared with those with low CVH. Older adults had no difference in time lived with zero CAC based on CVH. Maintaining CVH in midlife may delay onset of CAC.

Body mass index in young adulthood and mid-life cardiovascular risk factors in South Asian American adults: The MASALA study

The association of self-reported BMI at age 20, at age 40, the highest BMI within the past 3 years, and current BMI with current mid-life cardiovascular risk factors and coronary artery calcium (CAC) was evaluated among 1148 South Asian American participants (mean age 57 years) in the MASALA study. A 1 kg/m² higher BMI at age 20 was associated with higher odds of hypertension (aOR 1.07, 95% CI 1.03-1.12), pre-diabetes/diabetes (aOR 1.05 [1.01-1.09]), and prevalent CAC (aOR 1.06 [1.02-1.11]) in mid-life. Associations were similar for all BMI measures. Weight across young adulthood is associated with mid-life cardiovascular health in South Asian American adults.

Abstract P353: Association of United States Nativity With Cardiovascular Health Among Race and Ethnic Groups

Introduction: Lived experiences based on self-identified race and ethnicity or place of birth are important determinants of cardiovascular health (CVH). However, the association of US nativity with CVH among different race and ethnic subgroups is not well studied.

Hypothesis: We hypothesized that CVH will be higher among adults born outside the US compared with adults born in the US.

Methods: We included participants aged ≥18 years from the National Health Interview Survey from 2011 through 2018. CVH was calculated based on 5 available metrics: hypertension, diabetes, cholesterol, smoking, and body mass index calculated from self-reported height and weight. Scores ranged from 0 (low CVH) to 10 (high CVH). Nativity was classified as born in or outside the US. Survey-weighted linear regression models examined the association between CVH and US nativity, adjusting for age and sex and stratified by race and ethnic subgroups.

Results: Of 117,894 participants (representing 120,295,032 US adults), 51% were female and the mean (SE) age was 45 (0.1) years. Overall, among all combined race and ethnic subgroups, participants born outside the US had significantly higher CVH compared with participants born in the US (beta +0.42; 95% CI: +0.38, +0.46). Hispanic adults (beta +40; 95% CI: +0.32, +0.49), Non-Hispanic Black adults (beta +0.89; 95% CI: +0.77, +1.01), Non-Hispanic Asian adults (beta +0.39; 95% CI: +0.24, +0.54), and Non-Hispanic White adults (beta +0.36; 95% CI: +0.28, +0.45) all had significantly higher CVH compared with adults who were born in the US. The age-and sex-adjusted CVH scores by U.S. nativity for overall race and ethnic groups, Hispanic American subgroups, and Asian American subgroups are shown in the Figure.

Conclusion: Overall CVH is significantly higher among people born outside the US compared with those born in the US. Among race and ethnic subgroups, people born outside the US had higher CVH compared with those born within the US, except for Asian Indian adults.

Figure. Age-and-sex adjusted CVH scores by US nativity.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Hypertension-Related Cardiovascular Mortality in Asian American Subgroups

INTRODUCTION

Asian American subgroups experience heterogeneity in cardiovascular disease, but differences in hypertension-related cardiovascular disease mortality between Asian American subgroups is not known.

METHODS

Among 1,194,648 deaths in the United States in 2018-2021 with cardiovascular disease as an underlying cause and hypertension-related diseases as contributing cause, sex-specific age-standardized mortality rates, proportional mortality, and proportional mortality ratios for non-Hispanic Asian and Asian subgroups, Hispanic, and non-Hispanic Black individuals were compared with non-Hispanic White individuals. The analysis was conducted in August 2022.

RESULTS

There were 37,746; 95,404; 193,899; and 867,599 hypertension-related cardiovascular disease deaths in non-Hispanic Asian; Hispanic; non-Hispanic Black; and non-Hispanic White groups, respectively. Among non-Hispanic Asian females, mortality rates ranged from 41.6 (95% CI 40.0-43.3) per 100,000 population in Japanese to 52.6 (51.0-54.2) per 100,000 in Filipina individuals. Among non-Hispanic Asian males, mortality rates ranged from 45.8 (43.3-48.2) per 100,000 in Korean to 81.0 (78.5-83.5) per 100,000 in Filipino individuals. Proportional mortality was higher for all Asian American subgroups compared to non-Hispanic White individuals. Proportional mortality ratios ranged from 1.11 (in Korean males, proportional mortality was 10.2% [95% CI 9.7-10.8] of all deaths) to 1.38 (in Filipino males, proportional mortality was 12.7% [12.4-13.1] of all deaths; in Chinese females, proportional mortality was 11.9% [11.6-12.3]; and in Filipina females, proportional mortality was 11.9% [12.3-13.0]).

CONCLUSIONS

There was up to two-fold variation in hypertension-related cardiovascular disease mortality among Asian American subgroups. All subgroups experienced higher proportional mortality for hypertension-related cardiovascular disease compared with non-Hispanic White individuals.

Sex differences in cardiovascular outcomes of SGLT-2 inhibitors in heart failure randomized controlled trials: A systematic review and meta-analysis

Background

In patients with heart failure (HF), randomized controlled trials (RCTs) of sodium-glucose transporter-2 inhibitors (SGLT-2is) have proven to be effective in decreasing the primary composite outcome of cardiovascular death and hospitalizations for HF. A recently published meta-analysis showed that the use of SGLT-2is among women with diabetes resulted in less reduction in primary composite outcomes compared with men. This study aims to explore potential sex differences in primary composite outcomes among patients with HF treated with SGLT-2is.

Methods

We systematically searched the medical database from 2017 to 2022 and retrieved all the RCTs using SGLT-2is with specified cardiovascular outcomes. We used the PRISMA (Preferred Reporting Items for a Review and Meta-analysis) method to screen for eligibility. We evaluated the quality of studies using the Cochrane Risk of Bias tool. We pooled the hazard ratio (HR) of the primary composite outcomes in both sexes, performed a meta-analysis, and calculated the odds ratio (OR) of the primary composite outcomes based on sex.

Results

We included 5 RCTs with a total number of 21,947 patients. Of these, 7837 (35.7 %) were females. Primary composite outcomes were significantly lower in males and females taking SGLT-2is compared to placebo (males - HR 0.77; 95 % CI 0.72 to 0.84; p = 0.00001; females - HR 0.75; 95 % CI 0.67 to 0.84; p = 0.00001). Pooled data from four of the RCTs (n = 20,725) revealed a greater occurrence of the primary composite outcomes in females compared with males (OR 1.32; 95 % CI 1.17 to 1.48; p = 0.0002).

Conclusion

SGLT-2is reduce the risk of primary composite outcomes in patients with HF, regardless of sex; however, the benefits were less pronounced in women. Further research needs to be done to better explain these observed differences in outcomes.

Social and Psychosocial Determinants of Racial and Ethnic Differences in Cardiovascular Health in the United States Population

BACKGROUND

Social and psychosocial factors are associated with cardiovascular health (CVH). Our objective was to examine the contributions of individual-level social and psychosocial factors to racial and ethnic differences in population CVH in the NHANES (National Health and Nutrition Examination Surveys) 2011 to 2018, to inform strategies to mitigate CVH inequities.

METHODS

In NHANES participants ages ≥20 years, Kitagawa-Blinder-Oaxaca decomposition estimated the statistical contribution of individual-level factors (education, income, food security, marital status, health insurance, place of birth, depression) to racial and ethnic differences in population mean CVH score (range, 0-14, accounting for diet, smoking, physical activity, body mass index, blood pressure, cholesterol, blood glucose) among Hispanic, non-Hispanic Asian, or non-Hispanic Black adults compared with non-Hispanic White adults.

RESULTS

Among 16 172 participants (representing 255 million US adults), 24% were Hispanic, 12% non-Hispanic Asian, 23% non-Hispanic Black, and 41% non-Hispanic White. Among men, mean (SE) CVH score was 7.45 (2.3) in Hispanic, 8.71 (2.2) in non-Hispanic Asian, 7.48 (2.4) in non-Hispanic Black, and 7.58 (2.3) in non-Hispanic White adults. In Kitagawa-Blinder-Oaxaca decomposition, education explained the largest component of CVH differences among men (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.36 [0.04] points higher in Hispanic, 0.24 [0.04] points lower in non-Hispanic Asian, and 0.23 [0.03] points higher in non-Hispanic Black participants; P<0.05). Among women, mean (SE) CVH score was 8.03 (2.4) in Hispanic, 9.34 (2.1) in non-Hispanic Asian, 7.43 (2.3) in non-Hispanic Black, and 8.00 (2.5) in non-Hispanic White adults. Education explained the largest component of CVH difference in non-Hispanic Black women (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.17 [0.03] points higher in non-Hispanic Black participants; P<0.05). Place of birth (born in the United States versus born outside the United States) explained the largest component of CVH difference in Hispanic and non-Hispanic Asian women (if distribution of place of birth were similar to non-Hispanic White participants, CVH score would be 0.36 [0.07] points lower and 0.49 [0.16] points lower, respectively; P<0.05).

CONCLUSIONS

Education and place of birth confer the largest statistical contributions to the racial and ethnic differences in mean CVH score among US adults.

Heterogeneity in Obesity Prevalence Among Asian American Adults

BACKGROUND

Obesity increases the risk for metabolic and cardiovascular disease, and this risk occurs at lower body mass index (BMI) thresholds in Asian adults than in White adults. The degree to which obesity prevalence varies across heterogeneous Asian American subgroups is unclear because most obesity estimates combine all Asian Americans into a single group.

OBJECTIVE

To quantify obesity prevalence in Asian American subgroups among U.S. adults using both standard BMI categorizations and categorizations tailored to Asian populations.

DESIGN

Cross-sectional.

SETTING

United States, 2013 to 2020.

PARTICIPANTS

The analytic sample included 2 882 158 adults aged 18 years or older in the U.S. Behavioral Risk Factor Surveillance System surveys (2013 to 2020). Participants self-identified as non-Hispanic White ([NHW] n = 2 547 965); non-Hispanic Black ([NHB] n = 263 136); or non-Hispanic Asian ([NHA] n = 71 057), comprising Asian Indian (n = 13 916), Chinese (n = 11 686), Filipino (n = 11 815), Japanese (n = 12 473), Korean (n = 3634), and Vietnamese (n = 2618) Americans.

MEASUREMENTS

Obesity prevalence adjusted for age and sex calculated using both standard BMI thresholds (≥30 kg/m²) and BMI thresholds modified for Asian adults (≥27.5 kg/m²), based on self-reported height and weight.

RESULTS

Adjusted obesity prevalence (by standard categorization) was 11.7% (95% CI, 11.2% to 12.2%) in NHA, 39.7% (CI, 39.4% to 40.1%) in NHB, and 29.4% (CI, 29.3% to 29.5%) in NHW participants; the prevalence was 16.8% (CI, 15.2% to 18.5%) in Filipino, 15.3% (CI, 13.2% to 17.5%) in Japanese, 11.2% (CI, 10.2% to 12.2%) in Asian Indian, 8.5% (CI, 6.8% to 10.5%) in Korean, 6.5% (CI, 5.5% to 7.5%) in Chinese, and 6.3% (CI, 5.1% to 7.8%) in Vietnamese Americans. The prevalence using modified criteria (BMI ≥27.5 kg/m²) was 22.4% (CI, 21.8% to 23.1%) in NHA participants overall and 28.7% (CI, 26.8% to 30.7%) in Filipino, 26.7% (CI, 24.1% to 29.5%) in Japanese, 22.4% (CI, 21.1% to 23.7%) in Asian Indian, 17.4% (CI, 15.2% to 19.8%) in Korean, 13.6% (CI, 11.7% to 15.9%) in Vietnamese, and 13.2% (CI, 12.0% to 14.5%) in Chinese Americans.

LIMITATION

Body mass index estimates rely on self-reported data.

CONCLUSION

Substantial heterogeneity in obesity prevalence exists among Asian American subgroups in the United States. Future studies and public health efforts should consider this heterogeneity.

PRIMARY FUNDING SOURCE

National Heart, Lung, and Blood Institute.

Proportional Mortality From Ischemic Heart Disease Among Asian American Subgroups, From 2018 to 2020

This cross-sectional study examines the percentage of deaths attributed to ischemic heart disease by age and sex of Asian Indian, Chinese, Filipino, Japanese, Korean, and Vietnamese decedents.

Abstract P321: Hypertension-related Cardiovascular Mortality In Asian American Subgroups

Introduction: Cardiovascular disease (CVD) mortality rates are heterogenous among Asian American subgroups. To inform more precise prevention strategies, we identified patterns of hypertension-related CVD mortality in Asian American subgroups.

Methods: Among deaths with CVD (ICD-10: I00-I99) as the underlying cause and hypertensive disease (ICD-10: I10-I15) as underlying or contributing cause in 2018-2021 mortality data from CDC WONDER with concurrent population estimates from the IPUMS Current Population Survey, we calculated age standardized mortality rates (ASMR) and proportional mortality for non-Hispanic Asian (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) and Hispanic adults, with non-Hispanic White as the reference.

Results: There were 37,746, 95,404, and 867,599 deaths in non-Hispanic Asian, Hispanic and non-Hispanic White groups, respectively. Among non-Hispanic Asian females, ASMR ranged from 41.6 (95% CI 40.0-43.3) per 100,000 population in Japanese to 52.6 (51.0-54.2) per 100,000 in Filipina women. Among non-Hispanic Asian males, ASMR ranged from 45.8 (43.3-48.2) per 100,000 in Korean to 81.0 (78.5-83.5) in Filipino men (Table). Proportional mortality was higher for all Asian American subgroups vs. non-Hispanic White individuals. Proportional mortality ratios ranged from 1.11 (Korean males) to 1.38 (Filipino males; Chinese and Filipina females), vs. non-Hispanic White individuals.

Conclusions: There was substantial variation in hypertension-related cardiovascular mortality among Asian American subgroups. All Asian subgroups had higher proportional mortality compared with non-Hispanic White individuals.

Association of Birth Year of Pregnant Individuals With Trends in Hypertensive Disorders of Pregnancy in the United States, 1995-2019

IMPORTANCE

Hypertensive disorders of pregnancy are leading causes of morbidity and mortality among pregnant individuals as well as newborns, with increasing incidence during the past decade. Understanding the individual associations of advancing age of pregnant individuals at delivery, more recent delivery year (period), and more recent birth year of pregnant individuals (cohort) with adverse trends in hypertensive disorders of pregnancy could help guide public health efforts to improve the health of pregnant individuals.

OBJECTIVE

To clarify the independent associations of delivery year and birth year of pregnant individuals, independent of age of pregnant individuals, with incident rates of hypertensive disorders of pregnancy.

DESIGN, SETTING, AND PARTICIPANTS

This serial cross-sectional study of 38 141 561 nulliparous individuals aged 15 to 44 years with a singleton, live birth used 1995-2019 natality data from the National Vital Statistics System.

EXPOSURES

Year of delivery (period) and birth year (cohort) of pregnant individuals.

MAIN OUTCOMES AND MEASURES

Rates of incident hypertensive disorders of pregnancy, defined as gestational hypertension, preeclampsia, or eclampsia, recorded on birth certificates. Generalized linear mixed models were used to calculate adjusted rate ratios (aRRs) comparing the incidence of hypertensive disorders of pregnancy in each delivery period (adjusted for age and cohort) and birth cohort (adjusted for age and period) with the baseline group as the reference for each. Analyses were additionally stratified by the self-reported racial and ethnic group of pregnant individuals.

RESULTS

Of 38 141 561 individuals, 20.2% were Hispanic, 0.8% were non-Hispanic American Indian or Alaska Native, 6.5% were non-Hispanic Asian or Pacific Islander, 13.9% were non-Hispanic Black, and 57.8% were non-Hispanic White. Among pregnant individuals who delivered in 2015 to 2019 compared with 1995 to 1999, the aRR for the incidence of hypertensive disorders of pregnancy was 1.59 (95% CI, 1.57-1.62), adjusted for age and cohort. Among pregnant individuals born in 1996 to 2004 compared with 1951 to 1959, the aRR for the incidence of hypertensive disorders of pregnancy was 2.61 (95% CI, 2.41-2.84), adjusted for age and period. The incidence was higher among self-identified non-Hispanic Black individuals in each birth cohort, with similar relative changes for period (aRR, 1.76 [95% CI, 1.70-1.81]) and cohort (aRR, 3.26 [95% CI, 2.72-3.91]) compared with non-Hispanic White individuals (period: aRR, 1.60 [95% CI, 1.57-1.63]; cohort: aRR, 2.53 [95% CI, 2.26-2.83]).

CONCLUSIONS AND RELEVANCE

This cross-sectional study suggests that more recent birth cohorts of pregnant individuals have experienced a doubling of rates of hypertensive disorders of pregnancy, even after adjustment for age and delivery period. Substantial racial and ethnic disparities persisted across generations.

Associations of Clinical and Social Risk Factors With Racial Differences in Premature Cardiovascular Disease

BACKGROUND

Racial differences in cardiovascular disease (CVD) are likely related to differences in clinical and social factors. The relative contributions of these factors to Black-White differences in premature CVD have not been investigated.

METHODS

In Black and White adults aged 18 to 30 years at baseline in the CARDIA study (Coronary Artery Risk Development in Young Adults), the associations of clinical, lifestyle, depression, socioeconomic, and neighborhood factors across young adulthood with racial differences in incident premature CVD were evaluated in sex-stratified, multivariable-adjusted Cox proportional hazards models using multiply imputed data assuming missing at random. Percent reduction in the β estimate (log-hazard ratio [HR]) for race quantified the contribution of each factor group to racial differences in incident CVD.

RESULTS

Among 2785 Black and 2327 White participants followed for a median 33.9 years (25th-75th percentile, 33.7-34.0), Black (versus White) adults had a higher risk of incident premature CVD (Black women: HR, 2.44 [95% CI, 1.71-3.49], Black men: HR, 1.59 [1.20-2.10] adjusted for age and center). Racial differences were not statistically significant after full adjustment (Black women: HR, 0.91 [0.55-1.52], Black men: HR 1.02 [0.70-1.49]). In women, the largest magnitude percent reduction in the β estimate for race occurred with adjustment for clinical (87%), neighborhood (32%), and socioeconomic (23%) factors. In men, the largest magnitude percent reduction in the β estimate for race occurred with an adjustment for clinical (64%), socioeconomic (50%), and lifestyle (34%) factors.

CONCLUSIONS

In CARDIA, the significantly higher risk for premature CVD in Black versus White adults was statistically explained by adjustment for antecedent multilevel factors. The largest contributions to racial differences were from clinical and neighborhood factors in women, and clinical and socioeconomic factors in men.

Trends in De Novo Hypertensive Disorders of Pregnancy Among Asian and Hispanic Population Subgroups in the United States, 2011 to 2019

Importance

De novo hypertensive disorders of pregnancy (HDP) are associated with adverse maternal and offspring outcomes. Heterogeneity among racial and ethnic subgroups may be masked with aggregate reporting of race and ethnicity, such as Asian or Pacific Islander or Hispanic.

Objective

To determine patterns in de novo HDP rates among individuals in Asian and Hispanic subgroups with a first live birth in the United States in the period 2011 through 2019.

Design, Setting, and Participants

This serial cross-sectional analysis used data from 2011 through 2019 for individuals aged 15 to 44 years with singleton first live births obtained from the US National Center for Health Statistics natality database.

Exposures

Stratification by self-report of maternal race and ethnicity: Hispanic/Latina (overall and Hispanic/Latina subgroups [Central/South American, Cuban, Mexican, and Puerto Rican]), non-Hispanic Asian and Pacific Islander (overall and non-Hispanic Asian subgroups [Asian Indian, Chinese, Filipina, Japanese, Korean, and Vietnamese]), non-Hispanic Black, non-Hispanic White.

Main Outcomes and Measures

De novo HDP was defined as new-onset hypertension during pregnancy (gestational hypertension or preeclampsia). Age-standardized rates of HDP (per 1000 live births) and respective mean annual percent change in race and ethnicity groups and subgroups were calculated.

Results

Among 13 238 918 individuals, the mean (SD) age was 26.3 (5.8) years. Overall, HDP rates increased 7.3% per year (95% CI, 6.5%-8.1%), from 57.2 (95% CI, 56.8-57.6) per 1000 live births in 2011 to 99.7 (95% CI, 99.2-100.2) per 1000 live births in 2019. Rates of HDP significantly increased in all racial and ethnic groups and subgroups over the study period. The highest HDP prevalence among non-Hispanic Asian subgroups in 2019 was in Filipina individuals (92.5 [95% CI, 86.3-98.8] per 1000 live births), and the highest among Hispanic/Latina subgroups in 2019 was in Puerto Rican individuals (98.6 [95% CI, 94.2-102.9] per 1000 live births) with significant heterogeneity observed among subgroups across the study period.

Conclusions and Relevance

Rates of HDP among individuals with a singleton first live birth increased in the United States from 2011 to 2019 across all race and ethnicity subgroups, with considerable heterogeneity in HDP rates in non-Hispanic Asian and Hispanic/Latina subgroups.

Trends in TB and HIV care and treatment cascade, Kenya, 2008-2018

BACKGROUND: HIV infection is associated with high mortality among people with TB. Antiretroviral therapy (ART) reduces TB incidence and mortality among people living with HIV (PLHIV). Since 2005, Kenya has scaled up TB and HIV prevention, diagnosis and treatment. We evaluated the impact of these services on trends and TB treatment outcomes.METHODS: Using Microsoft Excel (2016) and Epi-Info 7, we analysed Kenya Ministry of Health TB surveillance data from 2008 to 2018 to determine trends in TB notifications, TB classification, HIV and ART status, and TB treatment outcomes.RESULTS: Among the 1,047,406 people reported with TB, 93% knew their HIV status, and 37% of these were HIV-positive. Among persons with TB and HIV, 69% received ART. Between 2008 and 2018, annual TB notifications declined from 110,252 to 96,562, and HIV-coinfection declined from 45% to 27%. HIV testing and ART uptake increased from 83% to 98% and from 30% to 97%, respectively. TB case fatality rose from 3.5% to 3.9% (P <0.018) among HIV-negative people and from 5.1% to 11.2% (P <0.001) among PLHIV on ART.CONCLUSION: TB notifications decreased in settings with suboptimal case detection. Although HIV-TB services were scaled-up, HIV-TB case fatality rose significantly. Concerted efforts are needed to address case detection and gaps in quality of TB care.

Self-Reported Diabetes Prevalence in Asian American Subgroups: Behavioral Risk Factor Surveillance System, 2013-2019

BACKGROUND

Diabetes mellitus (DM) is a leading contributor to morbidity and mortality in the United States (US). Prior DM prevalence estimates in Asian Americans are predominantly from Asians aggregated into a single group, but the Asian American population is heterogenous.

OBJECTIVE

To evaluate self-reported DM prevalence in disaggregated Asian American subgroups to inform targeted management and prevention.

DESIGN

Serial cross-sectional analysis.

PARTICIPANTS

Respondents to the US Behavioral Risk Factor Surveillance System surveys who self-identify as non-Hispanic Asian American (NHA, N=57,001), comprising Asian Indian (N=11,089), Chinese (N=9458), Filipino (N=9339), Japanese (N=10,387), and Korean Americans (N=2843), compared to non-Hispanic White (NHW, N=2,143,729) and non-Hispanic Black (NHB, N=215,957) Americans.

MAIN MEASURES

Prevalence of self-reported DM. Univariate Satterthwaite-adjusted chi-square tests compared the differences in weighted DM prevalence by sociodemographic and health status.

KEY RESULTS

Self-reported fully adjusted DM prevalence was 8.7% (95% confidence interval 8.2-9.3) in NHA, compared to 14.3% (14.0-14.6) in NHB and 10.0% (10.0-10.1) in NHW (p<0.01 for difference). In NHA subgroups overall, DM prevalence was 14.4% (12.6-16.3) in Filipino, 13.4% (10.9-16.2) in Japanese, 10.7% (9.6-11.8) in Asian Indian, 5.1% (4.2-6.2) in Chinese, and 4.7% (3.4-6.3) in Korean Americans (p<0.01). Among those aged ≥65 years, DM prevalence was highest in Filipino (35.0% (29.4-41.2)) and Asian Indian (31.5% (25.9-37.8)) Americans. Adjusted for sex, education, and race/ethnicity-specific obesity category, NHA overall had a 21% higher DM prevalence compared to NHW (prevalence ratio 1.21 [1.14-1.27]), while prevalence ratios were 1.42 (1.24-1.63) in Filipinos and 1.29 (1.14-1.46) in Asian Indians.

CONCLUSIONS

Adjusted self-reported DM prevalence is higher in NHA compared with NHW. Disaggregating NHA reveals heterogeneity in self-reported DM prevalence, highest in Filipino and Asian Indian Americans.

Relation of Menopause With Cardiovascular Risk Factors in South Asian American Women (from the MASALA Study)

The menopausal transition is a time of accelerating risk of cardiovascular disease (CVD), and promoting cardiovascular health during midlife is an important period of time to prevent CVD in women. The association of menopause with cardiovascular risk factors or subclinical atherosclerosis has not previously been evaluated in South Asian American women, a population with a disproportionately higher CVD burden compared with other race/ethnic groups. The objective of this study was to evaluate the association of menopause with CVD risk factors and subclinical cardiometabolic disease markers. We studied women aged 40 to 84 years from the Mediators of Atherosclerosis in South Asians Living in America study. The association of self-reported menopausal status with multiple demographic and clinical variables was assessed with linear and logistic regression adjusted for age and cardiovascular health behaviors. In a secondary ("age-restricted") analysis, postmenopausal participants outside the age range of premenopausal participants were excluded. In the age-restricted sample, menopause was associated with a higher adjusted odds of hypertension (odds ratio = 1.19, 95% confidence interval [CI] 1.02 to 1.41), and higher systolic blood pressure (β = 6.34, 95% CI 0.82 to 11.87), and significantly higher subcutaneous fat area (β = 42.8, 95% CI 5.8 to 91.4). No significant associations between menopause and ectopic fat deposition, coronary artery calcium, or carotid intima-media thickness were observed. In South Asian American women in the Mediators of Atherosclerosis in South Asians Living in America study, menopause was associated with cardiovascular risk factors and higher subcutaneous fat deposition. Menopausal status is an important factor to examine and address CVD risk factors.