Cardiovascular Health Metrics Research Articles

Examining the relationship between Life’s Essential 8 and atherosclerotic cardiovascular disease among Adults in the United States: Insights from the National Health and Nutrition Examination Surveys (2017-2020)

The American Heart Association recently updated the assessment of cardiovascular health (CVH) with the Life’s Essential 8 (LE8) score. Our cross-sectional analytical study utilized data from 5042 adults in the United States (US) from the 2017 to 2020 NHANES surveys to examine the relationship between CVH assessed by LE8 metrics and the prevalence of atherosclerotic cardiovascular disease (ASCVD). Multivariate linear regressions were utilized to explore the relationship between CVH metrics and ASCVD, while linear probability models were used to predict ASCVD prevalence based on achieved LE8 scores. Controlling for relevant covariates revealed an inverse association between LE8 metrics and ASCVD prevalence. Improvements in LE8 were linked to a 29% reduction in ASCVD prevalence, with transitions to higher LE8 quartiles predicting a 4.8% reduction in ASCVD prevalence. Subgroup analysis indicated significant effects of age, education, and gender on ASCVD prevalence, with younger age, college education, and the female gender being associated with lower prevalence (P < 0.05). Higher LE8 scores correlated with decreased ASCVD prevalence, while factors such as younger age, college education, and the female gender were also associated with lower ASCVD prevalence. Conversely, transitioning from married to divorced/widowed/separated status was linked to increased ASCVD prevalence (P < 0.01).

Association between ideal cardiovascular health and abnormal glucose metabolism in the elderly: evidence based on real-world data

BackgroundLimited information is available on the effect of ideal cardiovascular health (CVH) and abnormal glucose metabolism in elderly people. We aimed to analyze the prevalence of CVH behaviors, abnormal glucose metabolism, and their correlation in 65 and older people.MethodsIn this study, randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used. Recruiting was carried out between January 2020 and December 2020, and 1984 participants aged 65 years or older completed the study.ResultsThe prevalence of abnormal glucose metabolism in this group was 26.7% (n = 529), among which the prevalence of impaired fasting glucose (IFG) was 9.5% (male vs. female: 8.7% vs 10.1%, P = 0.338), and the prevalence of type 2 diabetes mellitus (T2DM) was 19.0% (male vs. female: 17.8 vs. 19.8%, P = 0.256). The ideal CVH rate (number of ideal CVH metrics ≥ 5) was only 21.0%. The risk of IFG and T2DM decreased by 23% and 20% with each increase in one ideal CVH metrics, with OR (95%CI) of 0.77(0.65–0.92) and 0.80(0.71–0.90), respectively (P-trend < 0.001). TyG fully mediated the ideal CVH and the incidence of T2DM, and its mediating effect OR (95%CI) was 0.88(0.84–0.91).ConclusionsEach increase in an ideal CVH measure may effectively reduce the risk of abnormal glucose metabolism by more than 20%.

Differences in Cardiovascular Health at the Intersection of Race, Ethnicity, and Sexual Identity

An understanding of the intersectional effect of sexual identity, race, and ethnicity on disparities in cardiovascular health (CVH) has been limited. To evaluate differences in CVH at the intersection of race, ethnicity, and sexual identity using the American Heart Association's Life's Essential 8 measure. This cross-sectional study was conducted from July 27 to September 6, 2023, using National Health and Nutrition Examination Survey data from 2007 to 2016. Participants were noninstitutionalized, nonpregnant adults (aged 18-59 years) without cardiovascular disease or stroke. Self-reported sexual identity, categorized as heterosexual or sexual minority (SM; lesbian, gay, bisexual, or "something else"), and self-reported race and ethnicity, categorized as non-Hispanic Black (hereafter, Black), Hispanic, non-Hispanic White (hereafter, White), and other (Asian, multiracial, or any other race and ethnicity). The primary outcome was overall CVH score, which is the unweighted mean of 8 CVH metrics, assessed from questionnaire, dietary, and physical examination data. Regression models stratified by sex, race, and ethnicity were developed for the overall CVH score and individual CVH metrics, adjusting for age, survey year, and socioeconomic status (SES) factors. The sample included 12 180 adults (mean [SD] age, 39.6 [11.7] years; 6147 [50.5%] male, 2464 [20.2%] Black, 3288 [27.0%] Hispanic, 5122 [42.1%] White, and 1306 [10.7%] other race and ethnicity). After adjusting for age, survey year, and SES, Black (β, -3.2; 95% CI, -5.8 to -0.6), Hispanic (β, -5.9; 95% CI, -10.3 to -1.5), and White (β, -3.3; 95% CI, -6.2 to -0.4) SM female adults had lower overall CVH scores compared with their heterosexual counterparts. There were no statistically significant differences for female adults of other race and ethnicity (β, -2.8; 95% CI, -9.3 to 3.7) and for SM male adults of any race and ethnicity compared with their heterosexual counterparts (Black: β, 2.2 [95% CI, -1.2 to 5.7]; Hispanic: β, -0.9 [95% CI, -6.3 to 4.6]; White: β, 1.5 [95% CI, -2.2 to 5.2]; other race and ethnicity: β, -2.2 [95% CI, -8.2 to 3.8]). In this cross-sectional study, CVH differed across race and ethnicity categories in SM females, suggesting that different communities within the larger SM population require tailored interventions to improve CVH. Longitudinal studies are needed to identify the causes of CVH disparities, particularly in Black and Hispanic SM females and inclusive of other racial and ethnic identities.

Trends in Cardiovascular Health Among US Adolescents Aged 12–19 Years Using the New “Life's Essential 8” Metrics, 2007-2018

PurposeThe American Heart Association recently issued a substantial update to the definition and scoring of cardiovascular health (CVH), now called “Life's Essential 8” (LE8). We aimed to assess the trends in overall and individual LE8 CVH metrics among adolescents in the United States. MethodsA total of 6,999 United States adolescents aged 12–19 years from six cycles of the National Health and Nutrition Examination Survey from 2007–2008 to 2017–2018 were included in this study. The individual LE8 metrics included diet, physical activity, nicotine exposure, sleep health, body mass index (BMI), blood lipids, blood glucose, and blood pressure (BP). A higher CVH score indicates better CVH health. ResultsThe mean score of overall CVH significantly increased from 72.8 (95% confidence interval: 71.2–74.3) in 2007–2008 to 77.3 (76.1–78.5) in 2017–2018 in US adolescents (p-trend < .001). From 2007–2008 to 2017–2018, the mean scores increased from 75.5 (72.0–79.1) to 90.0 (88.0–91.9) for nicotine exposure, from 65.2 (61.6–68.8) to 73.3 (69.9–76.8) for sleep health, from 69.9 (67.1–72.8) to 73.0 (69.1–76.9) for blood lipids, and from 94.4 (93.0–95.9) to 96.2 (95.2–97.3) for BP (all p-trend < .05). However, the mean scores for diet, physical activity, and blood glucose did not significantly change (all p-trend > .05), whereas the mean score decreased from 81.4 (78.9-84.0) to 78.6 (76.4–80.8) for BMI (p-trend = .023). DiscussionIn United States adolescents, the overall CVH and four components (nicotine exposure, sleep health, blood lipids, and BP) significantly improved over time, diet, physical activity, and blood glucose remained unchanged, whereas BMI worsened.

Sleep Patterns and Traditional Cardiovascular Health Metrics: Joint Impact on Major Adverse Cardiovascular Events in a Prospective Cohort Study.

This study examines the association between traditional cardiovascular health (CVH) metrics and major adverse cardiovascular events (MACE) incidence in individuals with diverse sleep patterns. We analyzed data from 208 621 participants initially free of cardiovascular disease (CVD) in the UK Biobank study. Sleep patterns were assessed using scores for chronotype, duration, insomnia, snoring, and daytime dozing. Traditional CVH scores were derived from the Life's Simple 7 metrics. Cox proportional hazards multivariate regression assessed associations between distinct combinations of CVH and sleep scores and MACE, including nonfatal myocardial infarction, nonfatal stroke, and CVD mortality. Over a mean follow-up of 12.73 years, 9253 participants experienced incident MACE. Individuals with both a healthy sleep pattern and ideal CVH levels had the lowest MACE risk compared with those with a poor sleep pattern and poor CVH levels (hazard ratio, 0.306 [95% CI, 0.257-0.365]; P<0.001). Elevated CVH scores were associated with a reduced risk of MACE across different sleep patterns. Similar trends were observed for individual MACE components, heart failure, and all-cause mortality. These findings remained robust in sensitivity analyses and across various subgroups. In individuals without known CVD, maintaining a favorable sleep pattern and achieving optimal CVH levels, as measured by traditional metrics, were associated with the lowest MACE risk. Enhanced CVH significantly reduced CVD risk, even in individuals with a poor sleep pattern. These results emphasize the importance of considering multiple dimensions of sleep health alongside CVH to mitigate CVD risk. URL: https://www.ukbiobank.ac.uk; Unique identifier: 91090.

Maternal cardiovascular health in early pregnancy and the risk of congenital heart defects in offspring

BackgroundCongenital heart disease (CHD) is the predominant birth defect. This study aimed to explore the association between maternal cardiovascular health (CVH) and the CHD risk in offspring.MethodsWe used the prospective data from the Fujian Birth Cohort Study, collected from March 2019 to December 2022 on pregnant women within 14 weeks of gestation. Overall maternal CVH was assessed by seven CVH metrics (including physical activity, smoking, sleep duration, body mass index, blood pressure, total cholesterol, and fasting plasma glucose), with each metric classified as ideal, intermediate or poor with specific points. Participants were further allocated into high, moderate and low CVH categories based on the cumulative CVH score. The association with offspring CHD was determined with log-binominal regression models.ResultsA total of 19810 participants aged 29.7 (SD: 3.9) years were included, with 7846 (39.6%) classified as having high CVH, 10949 (55.3%) as having moderate CVH, and 1015 (5.1%) as having low CVH. The average offspring CHD rate was 2.52%, with rates of 2.35%, 2.52% and 3.84% across the high, moderate and low CVH categories, respectively (P = 0.02). Adjusted relative risks (RRs) of having offspring CHD were 0.64 (95% CI: 0.45-0.90, P = 0.001) for high CVH and 0.67 (95% CI: 0.48-0.93, P = 0.02) for moderate CVH compared to low CVH. For individual metrics, only ideal total cholesterol was significantly associated with lower offspring CHD (RR: 0.73, 95% CI: 0.59-0.83, P = 0.002).ConclusionsPregnant women of high or moderate CVH categories in early pregnancy had reduced risks of CHD in offspring, compared to those of low CVH. It is important to monitor and improve CVH during pre-pregnancy counseling and early prenatal care.

Identification of gene networks jointly associated with depressive symptoms and cardiovascular health metrics using whole blood transcriptome in the Young Finns Study.

Studies have shown that cardiovascular health (CVH) is related to depression. We aimed to identify gene networks jointly associated with depressive symptoms and cardiovascular health metrics using the whole blood transcriptome. We analyzed human blood transcriptomic data to identify gene co-expression networks, termed gene modules, shared by Beck's depression inventory (BDI-II) scores and cardiovascular health (CVH) metrics as markers of depression and cardiovascular health, respectively. The BDI-II scores were derived from Beck's Depression Inventory, a 21-item self-report inventory that measures the characteristics and symptoms of depression. CVH metrics were defined according to the American Heart Association criteria using seven indices: smoking, diet, physical activity, body mass index (BMI), blood pressure, total cholesterol, and fasting glucose. Joint association of the modules, identified with weighted co-expression analysis, as well as the member genes of the modules with the markers of depression and CVH were tested with multivariate analysis of variance (MANOVA). We identified a gene module with 256 genes that were significantly correlated with both the BDI-II score and CVH metrics. Based on the MANOVA test results adjusted for age and sex, the module was associated with both depression and CVH markers. The three most significant member genes in the module were YOD1, RBX1, and LEPR. Genes in the module were enriched with biological pathways involved in brain diseases such as Alzheimer's, Parkinson's, and Huntington's. The identified gene module and its members can provide new joint biomarkers for depression and CVH.

Association Between Life's Essential 8 Cardiovascular Health Metrics With Cardiovascular Events in the Cardiovascular Disease Lifetime Risk Pooling Project.

The American Heart Association recently launched updated cardiovascular health metrics, termed Life's Essential 8 (LE8). Compared with Life's Simple 7 (LS7), the new approach added sleep health as an eighth metric and updated the remaining 7 health factors and behaviors. The association of the updated LE8 score with long-term cardiovascular disease (CVD) outcomes and death is unknown. We pooled individual-level data from 6 contemporary US-based cohorts from the Cardiovascular Lifetime Risk Pooling Project. Total LE8 score (0-100 points), LE8 score without sleep (0-100 points), and prior LS7 scores (0-14 points) were calculated separately. We used multivariable-adjusted Cox models to evaluate the association of LE8 with CVD, CVD subtypes, and all-cause mortality among younger, middle, and older adult participants. Net reclassification improvement analysis was used to measure the improvement in CVD risk classification with the addition of LS7 and LE8 recategorization based on score quartile rankings. Our sample consisted of 32 896 US adults (7836 [23.8%] Black; 14 941 [45.4%] men) followed for 642 000 person-years, of whom 9391 developed CVD events. Each 10-point higher overall LE8 score was associated with lower risk by 22% to 40% for CVD, 24% to 43% for congenital heart disease, 17% to 34% for stroke, 23% to 38% for heart failure, and 17% to 21% for all causes of mortality events across age strata. LE8 score provided more granular differentiation of the related CVD risk than LS7. Overall, 19.5% and 15.5% of the study participants were recategorized upward and downward based on LE8 versus LS7 categories, respectively, and the recategorization was significantly associated with CVD risk in addition to LS7 score. The addition of recategorization between LE8 and LS7 categories improved CVD risk reclassification across age groups (clinical net reclassification improvement, 0.06-0.12; P<0.01). These findings support the improved utility of the LE8 algorithm for assessing overall cardiovascular health and future CVD risk.

Associations between prenatal loss of control eating and cardiovascular health during pregnancy.

Loss of control (LOC) eating (feeling unable to control food type/amount eaten) during pregnancy is common and linked to risk for poor cardiovascular health (CVH), but it is unclear whether prenatal LOC eating directly relates to CVH during pregnancy. The current study tested associations between prenatal LOC eating and CVH during pregnancy in a sample with prepregnancy body mass index (BMI) ≥ 25. At 12-20 weeks' gestation, participants (N = 124) self-reported: prenatal LOC eating, diet, physical activity, nicotine use, sleep; height/weight were measured. Data were collected during 2015-2017. We dichotomized LOC eating (0 = absent; 1 = present) and scored CVH metrics using Life's Essential 8 to create a composite CVH score (range = 0-100; higher = better). Linear and binary logistic regression models tested if LOC eating is related to composite CVH score and odds of scoring low (0)/moderate-high (1) on each CVH metric, respectively. All models employed propensity score adjustment, since those with/without LOC eating may differ in ways affecting CVH, and covaried for: age, gestational age, prepregnancy BMI, ethnicity, race, education, and income. Compared to those without, participants with LOC eating had significantly poorer composite CVH scores (b = -9.27, t(111) = -2.70, p < .01) and lower odds of scoring moderate-high on nicotine use (OR = 0.20, 95% CI [0.04, 0.85], p = .03) and sleep duration (OR = 0.19, 95% CI [0.04, 0.83], p = .03) CVH metrics. Prenatal LOC eating was associated with poorer CVH during pregnancy in this sample with prepregnancy BMI ≥ 25, even after controlling for propensity of experiencing LOC eating and known risk factors for poor CVH. Thus, prenatal LOC may represent a modifiable factor related to prenatal health risk. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Sleeping for One Week on a Temperature-Controlled Mattress Cover Improves Sleep and Cardiovascular Recovery.

Body temperature should be tightly regulated for optimal sleep. However, various extrinsic and intrinsic factors can alter body temperature during sleep. In a free-living study, we examined how sleep and cardiovascular health metrics were affected by sleeping for one week with (Pod ON) vs. without (Pod OFF), an active temperature-controlled mattress cover (the Eight Sleep Pod). A total of 54 subjects wore a home sleep test device (HST) for eight nights: four nights each with Pod ON and OFF (>300 total HST nights). Nightly sleeping heart rate (HR) and heart rate variability (HRV) were collected. Compared to Pod OFF, men and women sleeping at cooler temperatures in the first half of the night significantly improved deep (+14 min; +22% mean change; p = 0.003) and REM (+9 min; +25% mean change; p = 0.033) sleep, respectively. Men sleeping at warm temperatures in the second half of the night significantly improved light sleep (+23 min; +19% mean change; p = 0.023). Overall, sleeping HR (-2% mean change) and HRV (+7% mean change) significantly improved with Pod ON (p < 0.01). To our knowledge, this is the first study to show a continuously temperature-regulated bed surface can (1) significantly modify time spent in specific sleep stages in certain parts of the night, and (2) enhance cardiovascular recovery during sleep.

Impact of health practice index and cardiovascular health metrics on incident cardiovascular disease according to glucose tolerance status

Impact of health practice index and cardiovascular health metrics on incident cardiovascular disease according to glucose tolerance status

Trends in cardiovascular health metrics and associations with long-term mortality among US adults with coronary heart disease

Background and aimsOur study examined the trends of cardiovascular health metrics in individuals with coronary heart disease (CHD) and their associations with all-cause and cardiovascular disease mortality in the US. Methods and resultsThe cohort study was conducted based on the National Health and Nutrition Examination Survey 1999–2018 and their linked mortality files (through 2019). Baseline CHD was defined as a composite of self-reported doctor-diagnosed coronary heart disease, myocardial infarction, and angina pectoris. Cardiovascular health metrics were assessed according to the American Heart Association recommendations. Long-term all-cause and cardiovascular disease mortality were the primary outcomes. Survey-adjusted Cox regression models were used to estimate hazard ratios and corresponding 95% confidence intervals for the associations between cardiovascular health metrics and all-cause and cardiovascular disease mortality. The prevalence of one or fewer ideal cardiovascular health metrics increased from 14.15% to 22.79% (P < 0.001) and the prevalence of more than four ideal cardiovascular health metrics decreased from 21.65% to 15.70 % (P < 0.001) from 1999 to 2018, respectively. Compared with CHD participants with one or fewer ideal cardiovascular health metrics, those with four or more ideal cardiovascular health metrics had a 35% lower risk (hazard ratio, 0.65; 95% confidence interval: 0.51, 0.82) and a 45% lower risk (0.56; 0.38, 0.84) in all-cause and cardiovascular disease mortality, respectively. ConclusionSubstantial declines were noted in ideal cardiovascular health metrics in US adults with CHD. A higher number of cardiovascular health metrics was associated with lower all-cause and cardiovascular disease mortality in them.

23 AHA’s Essential Eight: Opportunities for Preventive Care among Adults with Peripheral Arterial Disease

OBJECTIVES/GOALS: The objective was to examine the American Heart Association’s (AHA) Essential Eight metrics of cardiovascular (CV) health among Black and White adults with peripheral arterial disease (PAD) collected via validated surveys and medical records. Each metric was examined in association with available social determinants of health (SDoH) factors. METHODS/STUDY POPULATION: This observational study completed data collection through surveys and medical record review. Validated surveys were used to collect Essential Eight metrics of diet, physical activity, sleep, and smoking status. Medical records were used to collect data on body mass index, blood lipids, blood glucose, and blood pressure. Participants with a diagnosis of lower extremity PAD, ability to complete surveys, and provided informed written consent were eligible. Equal numbers of Black and White participants were enrolled. Essential Eight metrics were used to calculate CV health scores for each participant. Scores were examined for association with SDoH factors and by race using Student’s T-test or ANOVA for continuous variables or Chi-Square tests for categorical variables. RESULTS/ANTICIPATED RESULTS: A total of 50 participants will be enrolled, with the expected majority being men and half self-reporting as Black individuals. Worse SDoH is expected to be associated with lower CV health metrics, including lower levels of physical activity and higher levels of saturated fatty food consumption. Higher levels of blood lipids, blood glucose, and blood pressure are expected to be associated with worse SDoH factors. We expect this association to be attenuated by rates of CV medications, such as statin therapy, antiglycemic medications, and antihypertensive medications. No effect modification by rurality is expected, although our projected sample size is small and may impact the ability to examine this interaction. DISCUSSION/SIGNIFICANCE: Black Americans, particularly in the Deep South, are at elevated risk for PAD and critical limb ischemic events, such as amputation. Understanding CV health metrics and SDoH characteristics among adults with PAD is essential to reduce disparities in care and provide valuable information for those at highest risk for complications.

Cardiovascular health metrics defined by Life's Essential 8 scores and subsequent macrovascular and microvascular complications in individuals with type 2 diabetes: A prospective cohort study.

To investigate the association between cardiovascular health metrics defined by Life's Essential 8 (LE8) scores and vascular complications among individuals with type 2 diabetes (T2D). This prospective study included 11 033 participants with T2D, all devoid of macrovascular diseases (including cardiovascular and peripheral artery disease) and microvascular complications (e.g. diabetic retinopathy, neuropathy and nephropathy) at baseline from the UK Biobank. The LE8 score comprised eight metrics: smoking, body mass index, physical activity, non-high-density lipoprotein cholesterol, blood pressure, glycated haemoglobin, diet and sleep duration. Cox proportional hazards models were established to assess the associations of LE8 scores with incident macrovascular and microvascular complications. During a median follow-up of 12.1 years, we identified 1975 cases of incident macrovascular diseases and 1797 cases of incident microvascular complications. After adjusting for potential confounders, each 10-point increase in the LE8 score was associated with an 18% lower risk of macrovascular diseases and a 15% lower risk of microvascular complications. Comparing individuals in the highest and lowest quartiles of LE8 scores revealed hazard ratios of 0.55 (95% confidence interval 0.47-0.62) for incident macrovascular diseases, and 0.61 (95% confidence interval 0.53-0.70) for incident microvascular complications. This association remained robust across a series of sensitivity analyses and nearly all subgroups. Higher LE8 scores were associated with a lower risk of incident macrovascular and microvascular complications among individuals with T2D. These findings underscore the significance of adopting fundamental strategies to maintain optimal cardiovascular health and curtail the risk of developing diabetic vascular complications.

Association of cardiovascular health and educational status in a screening cohort.

The global burden of chronic diseases, including cardiovascular disease, remains a significant public health challenge. The Life's Simple 7 (LS7) score was developed as a tool to evaluate cardiovascular health behaviours and habits and identify high-risk individuals. The present study aimed to assess the distribution of LS7 scores among educational strata. The study population consisted of 3,383 asymptomatic individuals screened for colorectal cancer at a single centre in Austria. We split patients into lower (n = 1,055), medium (n = 1,997), and higher (n = 331) education, based on the International Standard Classification of Education (ISCED). Cox regression models were utilized to determine the association between education and mortality over a median follow-up period of 7 years. Individuals with higher educational status had a significantly higher prevalence of ideal cardiovascular health metrics, as defined by the LS7 score, compared to those with medium and lower educational status: n = 94 (28%) vs. n = 347 (17%) and n = 84 (8%), respectively, (p < 0.001). In the Cox regression analysis, both medium (HR = 0.61, 95% CI: 0.43-0.84, p < 0.001) and higher educational status (HR = 0.44, 95% CI: 0.19-1.01, p = 0.06) were associated with all-cause mortality, as was the LS7. Our findings highlight a significant association between lower educational status and poorer cardiovascular health, as assessed by LS7, which persisted even after multivariable adjustment. Additionally, both educational status and LS7 were associated with increased mortality, underscoring the significance of our results. These findings have important implications for public health, as screening and prevention strategies may need to be tailored to meet the diverse educational backgrounds of individuals, given the higher prevalence of unhealthy lifestyle behaviours among those with lower educational status.

Association between the American Heart Association’s new “Life’s Essential 8” metrics and kidney stone

PurposeThe incidence of kidney stone disease has increased worldwide, resulting in high medical costs and social burden. Kidney stone disease shares some common features with the risk factors of cardiovascular diseases (CVDs). We investigated the association between cardiovascular health (CVH) based on the Life’s Essential 8 (LE8) score developed by the American Heart Association and the incidence of kidney stone disease.MethodsWe analyzed the data of 29,469 US adults aged 20 years or above from the National Health and Nutrition Examination Survey, 2007–2018. According to the LE8 score, CVH was divided into three categories: poor, intermediate, and ideal. Logistic regression was used to determine the association between CVH and the incidence of kidney stone disease by estimating odds ratios (ORs) and 95% confidence intervals (CIs).ResultsThe average age of the participants was 48.6 years, and 50% of the participants were women. The numbers of participants with poor, intermediate, and ideal CVH were 4149, 19,782, and 5538, respectively. After adjusting for related confounding factors, ideal CVH was associated with a reduction in the odds of kidney stone occurrence as compared to poor CVH (adjusted OR [aOR]: 0.45, 95% CI: 0.35–0.57, p < 0.001). Moreover, if the ideal CVH metrics was ≥ 6, the odds of kidney stone occurrence decreased by up to 61% (aOR: 0.39, 95% CI: 0.30–0.51).ConclusionsIn the present study, ideal CVH, a factor indicative of a healthy lifestyle, was associated with lower odds of kidney stone occurrence.

Abstract P380: Fatherhood and Cardiovascular Health: The Coronary Artery Risk Development in Young Adults (CARDIA) Study

Introduction: Emerging literature links fatherhood to men’s health but lacks comprehensive investigation of associations with cardiovascular health (CVH). Hypothesis: Fatherhood will be associated with total CVH and individual CVH metrics. Methods: We included men from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a prospective cohort study which enrolled Black and White individuals aged 18-30 years at baseline (1985-86). CVH was defined using the American Heart Association's Life’s Essential 8 (LE8) scores (0-100) and was calculated at the year 20 follow-up examination to most accurately classify men’s fatherhood status. Multivariable linear regression tested for difference in total CVH and CVH metrics by fatherhood status (father vs non-father vs stepfather &amp; living with children vs not) and age at transition to fatherhood; models adjusted for age, race, marital status, education, having a primary care clinician, income, current alcohol consumption &amp; CESD depression score. Results: In this sample of 1026 men, mean age at LE8 assessment was 45.4 (SD=3.5) years, 720 (70.2%) were fathers, 243 (23.6%) were non-fathers, 63 (6.1%) were stepfathers, and 384 (37.4%) self-identified as Black. The mean age men became fathers was 29.2 years. In adjusted models, there was evidence of interaction between the age at fatherhood and race on total CVH score ( p =0.07). For white men, becoming a father at &lt;20 years was associated with lower total CVH, compared with 30-34 ( p &lt;.01) and ≥35 years ( p =0.02); this association was not found for Black fathers (Figure 1). In adjusted models, stepfathers had worse BMI scores than non-fathers (least squares mean 51.1 vs 64.3, p&lt;0.01), but otherwise there was no difference in total CVH or CVH metrics between non-fathers, fathers, stepfathers, or men living with or without children. Conclusion: Fatherhood is a social determinant of health and understanding its influence may provide opportunities to improve men’s health, particularly among men who become fathers at young ages.

Abstract P173: Examining Sexual Identity Differences in Ideal Cardiovascular Health

Introduction: Recent evidence suggests that sexual minority (e.g., gay, lesbian, bisexual, queer) adults in the United States are at increased risk of cardiovascular disease compared to heterosexual adults. However, the majority of cardiovascular health (CVH) research among sexual minority adults has focused on investigating differences in individual CVH metrics rather than comprehensive measures of CVH. Methods: We analyzed nationally representative data from the National Longitudinal Study of Adolescent to Adult Health to examine sexual identity differences in ideal CVH (i.e., individual CVH metrics and cumulative ideal CVH score) among adults. Participants received a score of 0 (poor), 1 (intermediate), or 2 (ideal) for each CVH metric, and scores were summed to calculate cumulative ideal CVH scores (continuous; range 0-12). We ran sex-stratified multiple logistic and linear regression models to examine sexual identity differences in ideal CVH. Models were adjusted for demographics, health insurance coverage, and adverse childhood experiences. Results: The final sample included 3,492 participants with a mean age of 21.8 (+/- 1.76) years. Approximately 60% were female, over 76% were White and around 90% were non-Hispanic. Compared to exclusively heterosexual women, mostly heterosexual (AOR 0.89, 95% CI = 0.79-0.99) and lesbian (AOR 0.73, 95% CI = 0.55-0.91) women had lower odds of meeting ideal criteria for tobacco use. In contrast, lesbian women had higher odds of meeting ideal criteria for glycosylated hemoglobin (AOR 1.22, 95% CI = 1.09-1.35). Among men, compared to exclusively heterosexual men, mostly heterosexual (AOR 0.87, 95% CI = 0.76-0.97) and bisexual (AOR 0.86, 95% CI = 0.74-0.97) men had lower odds of meeting ideal criteria for tobacco use and blood pressure, respectively. Gay (AOR 0.79, 95% CI = 0.67-0.90) and bisexual (AOR 0.75, 95% CI = 0.54-0.96) men had lower odds of meeting ideal criteria for physical activity, but gay men had higher odds of meeting ideal criteria for body mass index (AOR 1.25, 95% CI = 1.00-1.55). No sexual identity differences were observed for cumulative ideal CVH scores among women and men. Conclusions: As one of the first studies to use nationally representative longitudinal data to examine sexual identity differences in ideal CVH, this study makes an important contribution to the literature on CVH among sexual minority adults. Findings highlight significant CVH disparities in sexual minority adults and suggest there is a need to develop interventions that focus on improving their CVH. Future research is needed to investigate factors that may contribute to the CVH disparities observed among sexual minority adults in this study.

Change in cardiovascular health and rate of cognitive decline in older adults: a 15-year population-based study

BackgroundPrevious research on associations between cardiovascular health, measured at a single timepoint, and rate of age-related cognitive decline shows divergent findings dependent on the participants’ age and the health metric studied. The aim of this study was to add to the knowledge in this field by investigating whether change in cardiovascular health, assessed with Life’s Simple 7 (LS7) score, is associated with rate of cognitive change in young-old and old-old adults.MethodsThe study included 1022 participants aged ≥ 60 years from the Swedish National Study on Aging and Care-Kungsholmen (SNAC-K), who underwent repeated neuropsychological testing (episodic memory, semantic memory, verbal fluency, and perceptual speed) across up to 15 years. LS7, composed of seven cardiovascular health metrics (smoking, diet, physical activity, body mass index, plasma glucose, total serum cholesterol, and blood pressure), was assessed at baseline and at the 6-year follow-up. Change in LS7 was calculated as the difference between baseline and 6 years (range − 5 to 8 points) and categorised into worse (−5 to −2 points), stable (−1 to 1 points), and improved (2 to 8 points). Change in cognitive performance as a function of LS7 change categories was estimated using linear mixed-effects models.ResultsParticipants were classified as stable (67.1%), improved (21.0%), or worse (11.8%) according to changes in LS7 score. Both the worse and improved categories were associated with faster cognitive decline. Age-stratified analyses revealed that worsening of LS7 was clearly associated with faster cognitive decline in the old-old (≥ 78 years), whereas improvement tended be associated with faster cognitive decline in the young-old (< 78 years) group.ConclusionsChange in cardiovascular health in old age may lead to accelerated cognitive decline, particularly in late senescence. These results suggest that it is important to monitor and maintain cardiovascular health status in very old adults.

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

Background and aimsSouth 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. MethodsWe 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). ResultsWe 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]. ConclusionsOptimal 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.