Association of polysocial risk score, cardiovascular health status, and the risk of premature mortality: Findings from the UK Biobank

Bundy J.D., Mills K.T., He H., LaVeist T.A., Ferdinand K.C., Chen J., He J.

BackgroundRacial and ethnic disparities in mortality persist in the US population. We studied the contribution of social determinants of health (SDoH) to racial and ethnic disparities in premature death.MethodsA nationally representative sample of individuals aged 20–74 years who participated in the US National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018 were included. Self-reported SDoH (employment, family income, food security, education, access to health care, health insurance, housing instability, and being married or living with a partner) were collected in each survey cycle. Participants were categorised into four groups of race and ethnicity: Black, Hispanic, White, and other. Deaths were ascertained from linkage to the National Death Index with follow-up until 2019. Multiple mediation analysis was used to assess simultaneous contributions of each individual SDoH to racial disparities in premature all-cause mortality.FindingsWe included 48 170 NHANES participants in our analyses, consisting of 10 543 (21·9%) Black participants, 13 211 (27·4%) Hispanic participants, 19 629 (40·7%) White participants, and 4787 (9·9%) participants of other racial and ethnic groups. Mean survey-weighted age was 44·3 years (95% CI 44·0–44·6), 51·3% (50·9–51·8) of participants were women, and 48·7% (48·2–49·1) were men. 3194 deaths before age 75 years were recorded (930 Black participants, 662 Hispanic participants, 1453 White participants, and 149 other participants). Black adults had significantly higher premature mortality than other racial and ethnic groups (p

Jin C., Li J., Liu F., Li X., Hui Y., Chen S., Li F., Wang G., Liang F., Lu X., Wu S., Gu D.

Cardiovascular health level according to the American Heart Association's Life's Essential 8 (LE8) in China and its effectiveness on the 10-year and lifetime risk of atherosclerotic cardiovascular diseases is unclear.This prospective study included 88,665 participants in the China-PAR cohort (data from 1998 to 2020) and 88,995 in the Kailuan cohort (data from 2006 to 2019). Analyses were conducted by November 2022. LE8 was measured according to the American Heart Association's LE8 algorithm, and a high cardiovascular health status was defined as a LE8 score ≥80 points. Participants were followed for the primary composite outcomes, including fatal and nonfatal acute myocardial infarction, ischemic stroke, and hemorrhagic stroke. The lifetime risk was estimated from the cumulative risk of atherosclerotic cardiovascular diseases through ages 20-85 years, the association of LE8 and LE8 change with atherosclerotic cardiovascular diseases was assessed with the Cox proportional-hazards model, and partial population-attributable risks evaluated the proportion of atherosclerotic cardiovascular diseases that could be averted.The mean LE8 score was 70.0 in the China-PAR cohort and 64.6 in the Kailuan cohort, with 23.3% and 8.0% of participants having a high cardiovascular health status, respectively. Participants in the highest quintile had about 60% lower 10-year and lifetime risk of atherosclerotic cardiovascular diseases in the China-PAR and Kailuan cohorts than participants with the lowest quintile LE8 score. If everyone maintained the highest quintile of LE8 score, approximately half of the atherosclerotic cardiovascular diseases could be prevented. The participant with LE8 score that increased from the lowest to the highest tertile during 2006-2012 had a 44% (hazard ratio=0.56; 95% CI=0.45, 0.69) lower observed risk and a 43% (hazard ratio=0.57; 95% CI=0.46, 0.70) lower lifetime risk of atherosclerotic cardiovascular diseases than those remaining in the lowest tertile in the Kailuan cohort.The LE8 score was below optimal levels in Chinese adults. A high baseline LE8 score and an improving LE8 score were associated with decreased 10-year and lifetime risk of atherosclerotic cardiovascular diseases.

Sun J., Li Y., Zhao M., Yu X., Zhang C., Magnussen C.G., Xi B.

Abstract Background The American Heart Association recently updated its construct of what constitutes cardiovascular health (CVH), called Life’s Essential 8. We examined the association of total and individual CVH metrics according to Life’s Essential 8 with all-cause and cardiovascular disease (CVD)-specific mortality later in  life. Methods Data were from the National Health and Nutrition Examination Survey (NHANES) 2005–2018 at baseline linked to the 2019 National Death Index records. Total and individual CVH metric scores including diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure were classified as 0–49 (low level), 50–74 (intermediate level), and 75–100 (high level) points. The total CVH metric score (the average of the 8 metrics) as a continuous variable was also used for dose–response analysis. The main outcomes included all-cause and CVD-specific mortality. Results A total of 19,951 US adults aged 30–79 years were included in this study. Only 19.5% of adults achieved a high total CVH score, whereas 24.1% had a low score. During a median follow-up of 7.6 years, compared with adults with a low total CVH score, those with an intermediate or high total CVH score had 40% (adjusted hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.51–0.71) and 58% (adjusted HR 0.42, 95% CI 0.32–0.56) reduced risk of all-cause mortality. The corresponding adjusted HRs (95%CIs) were 0.62 (0.46–0.83) and 0.36 (0.21–0.59) for CVD-specific mortality. The population-attributable fractions for high (score ≥ 75 points) vs. low or intermediate (score < 75 points) CVH scores were 33.4% for all-cause mortality and 42.9% for CVD-specific mortality. Among all 8 individual CVH metrics, physical activity, nicotine exposure, and diet accounted for a large proportion of the population-attributable risks for all-cause mortality, whereas physical activity, blood pressure, and blood glucose accounted for a large proportion of CVD-specific mortality. There were approximately linear dose–response associations of total CVH score (as a continuous variable) with all-cause and CVD-specific mortality. Conclusions Achieving a higher CVH score according to the new Life’s Essential 8 was associated with a reduced risk of all-cause and CVD-specific mortality. Public health and healthcare efforts targeting the promotion of higher CVH scores could provide considerable benefits to reduce the mortality burden later in life.

Sun Y., Yu Y., Zhang K., Yu B., Yu Y., Wang Y., Wang B., Tan X., Wang Y., Lu Y., Wang N.

Wen Z., Peng S., Yang L., Wang H., Liao X., Liang Q., Zhang X.

AbstractObjective Social isolation is a global health issue that affects older adults throughout their lives. This study aimed to identify the factors associated with social isolation in older adults. Design Systematic review and meta-analysis. Setting and Participants Adults aged 60 years and older. Methods We searched for observational studies without language restrictions in 11 databases from inception to August 2022. Pooled odds ratio (OR) and 95% CI were calculated using the R software (version 4.2.1). The modified Newcastle-Ottawa Scale was used to evaluate the risk of bias. Results Eighteen factors were grouped into 5 themes. The following 13 factors were statistically significant: (1) demographics theme: aged 80 years and older (OR: 2.41; 95% CI: 1.20–4.85), less than or equal to a high school degree (OR: 1.68; 95% CI: 1.44–1.97), smoking (OR: 1.43; 95% CI: 1.18–1.73), and male (OR: 1.38; 95% CI: 1.01–1.89); (2) environment theme: low social support (OR: 7.77; 95% CI: 3.45–17.50) and no homeownership (OR: 1.38; 95% CI: 1.25–1.51); (3) role theme: no social participation (OR: 3.18; 95% CI: 1.30–7.80) and no spouse (OR: 2.61; 95% CI: 1.37–4.99); (4) physical health: hearing loss (OR: 2.78; 95% CI: 1.54–5.01), activities of daily living impairment (OR: 2.38; 95% CI: 1.57–3.61), and poor health status (OR: 1.52; 95% CI: 1.32–1.74); and (5) mental health: cognitive decline (OR: 1.85; 95% CI: 1.40–2.45) and depression (OR: 1.72; 95% CI: 1.21–2.44). Conclusions and Implications Social isolation in older adults is associated with various factors. Hence, focused intervention should be adopted for older adults. In addition, further longitudinal studies are required to confirm a direct link between multiple factors and social isolation.

Åkerstedt T., Olsson T., Alfredsson L., Hedström A.K.

BackgroundShift work, which often results in sleep deprivation and circadian desynchrony, has been associated with increased risk of multiple sclerosis (MS). We aimed at studying the impact of sleep duration, circadian disruption and sleep quality on MS risk.MethodsWe used a Swedish population-based case-control study (2075 cases, 3164 controls). Aspects of sleep were associated with MS risk by calculating OR with 95% CIs using logistic regression models.ResultsCompared with sleeping 7–9 hours/night during adolescence, short sleep (<7 hours/night) was associated with increased risk of developing MS (OR 1.4, 95% OR 1.1–1.7). Similarly, subjective low sleep quality during adolescence increased the risk of subsequently developing MS (OR 1.5, 95% CI 1.3 to 1.9), whereas phase shift did not significantly influence the risk. Our findings remained similar when those who worked shifts were excluded.ConclusionsInsufficient sleep and low sleep quality during adolescence seem to increase the risk of subsequently developing MS. Sufficient restorative sleep at young age, needed for adequate immune functioning, may be a preventive factor against MS.

Li Z., Kong Y., Chen S., Subramanian M., Lu C., Kim R., Wehrmeister F.C., Song Y., Subramanian S.V.

Early identification of high-risk pregnancies could reduce stillbirths, yet remains a challenge in low- and middle-income countries (LMICs). This study aims to estimate the associations between easily observable risk factors and stillbirths, and construct a risk score which could be adopted in LMICs to identify pregnancies with high risk of stillbirths.Using the most recent Demographic and Health Surveys from 50 low- and middle-income countries (LMICs) with available data between January 1, 2010 and December 31, 2021, we analysed a total of 22 factors associated with stillbirths in a series of single-adjusted and mutually adjusted logistic regression models. Upon identification of the risk factors with the strongest associations, we constructed a risk score on the basis of the magnitude of the β coefficient to examine the cumulative effects of risk factors on stillbirths. To assess whether the associations between risk scores and stillbirths were moderated by protective factors, we added an interaction term between the identified protective factor and risk scores to the regression model. We also conducted two sets of subgroup analyses for previous history of pregnancy and maternal age at pregnancy and four sets of supplementary analyses to test the robustness of the results.Among the 795,642 women identified for analysis with at least one pregnancy within the five years before the survey, the most recent pregnancy of 8968 (1.13%) ended as stillbirths. Using a mutually adjusted regression model, we found that the top factors showing the strongest associations with stillbirths were short maternal height (odds ratio [OR]: 1.99, 95% confidence interval [CI]: 1.48-2.67, P < 0.001), interpregnancy interval less than six months (OR: 1.84, 95% CI: 1.42-2.38, P < 0.001), previous stillbirth history (OR: 1.55, 95% CI: 1.07-2.26, P < 0.020), low maternal education (OR: 1.50, 95% CI: 1.01-2.24, P = 0.045), and lowest household wealth (OR: 1.32, 95% CI: 1.08-1.61, P = 0.008). A female household head was a protective factor with an OR of 0.71 (95% CI: 0.55-0.90, P = 0.005). Single-adjusted models, subgroup analyses, and sensitivity analyses showed generally consistent results. We also found that the odds of stillbirths increased with a larger risk score with a P trend

Javed Z., Valero-Elizondo J., Khan S.U., Taha M.B., Maqsood M.H., Mossialos E., Sharma G., Hyder A.A., Cainzos-Achirica M., Nasir K.

The extent to which cumulative social disadvantage-defined as aggregate social risk resulting from multiple co-occurring adverse social determinants of health (SDOH)-affects the risk of all-cause mortality, independent of demographic and clinical risk factors, is not well understood. The objective of this study was to examine the association between cumulative social disadvantage, measured using a comprehensive 47-factor SDOH framework, and mortality in a nationally representative sample of adults in the United States. The authors conducted secondary analysis of pooled data for 63,540 adult participants of the 2013-2015 National Death Index-linked National Health Interview Survey. Age-adjusted mortality rates (AAMRs) were reported by quintiles of aggregate SDOH burden, with higher quintiles denoting greater social disadvantage. Cox proportional hazards models were used to examine the association between cumulative social disadvantage and risk of all-cause mortality. AAMR increased significantly with greater SDOH burden, ranging from 631 per 100,000 person-years (PYs) for participants in SDOH-Q1 to 1490 per 100,000 PYs for those in SDOH-Q5. In regression models adjusted for demographics, being in SDOH-Q5 was associated with 2.5-fold higher risk of mortality, relative to Q1 (adjusted hazard ratio [aHR] = 2.57 [95% confidence interval, CI = 1.94-3.41]); the observed association persisted after adjusting for comorbidities, with over 2-fold increased risk of mortality for SDOH-Q5 versus Q1 (aHR = 2.02 [95% CI = 1.52-2.67]). These findings indicate that cumulative social disadvantage is associated with increased risk of all-cause mortality, independent of demographic and clinical factors. Population level interventions focused on improving individuals' social, economic, and environmental conditions may help reduce the burden of mortality and mitigate persistent disparities.

Ross S., Armas Rojas N., Sawatzky J., Varona-Pérez P., Burrett J.A., Calderón Martínez M., Lorenzo-Vázquez E., Bess Constantén S., Sherliker P., Morales Rigau J.M., Hernández López O.J., Martínez Morales M.Á., Alonso Alomá I., Achiong Estupiñan F., Díaz González M., et. al.

SummaryBackground Although socioeconomic status is a major determinant of premature mortality in many populations, the impact of social inequalities on premature mortality in Cuba, a country with universal education and health care, remains unclear. We aimed to assess the association between educational level and premature adult mortality in Cuba. Methods The Cuba Prospective Study (a cohort study) enrolled 146 556 adults aged 30 years and older from the general population in five provinces from Jan 1, 1996, to Nov 24, 2002. Participants were followed up until Jan 1, 2017, for cause-specific mortality. Deaths were identified through linkage to the Cuban Public Health Ministry's national mortality records. Cox regression models yielded rate ratios (RRs) for the effect of educational level (a commonly used measure for social status) on mortality at ages 35–74 years, with assessment for the mediating effects of smoking, alcohol consumption, and BMI. Findings A total of 127 273 participants aged 35–74 years were included in the analyses. There was a strong inverse association between educational level and premature mortality. Compared with a university education, men who did not complete primary education had an approximately 60% higher risk of premature mortality (RR 1·55, 95% CI 1·40–1·72), while the risk was approximately doubled in women (1·96, 1·81–2·13). Overall, 28% of premature deaths could be attributed to lower education levels. Excess mortality in women was primarily due to vascular disease, while vascular disease and cancer were equally important in men. 31% of the association with education in men and 18% in women could be explained by common modifiable risk factors, with smoking having the largest effect. Interpretation This study highlights the value of understanding the determinants of health inequalities in different populations. Although many major determinants lie outside the health system in Cuba, this study has identified the diseases and risk factors that require targeted public health interventions, particularly smoking. Funding UK Medical Research Council, British Heart Foundation, Cancer Research UK, CDC Foundation (with support from Amgen).

Wang B., Sun Y., Tan X., Zhang J., Wang N., Lu Y.

Background and Objectives:Type 2 diabetes and lifestyle factors have been associated with dementia risk, but the impact of a healthy lifestyle on diabetes-related dementia remains largely unknown. We aimed to investigate whether the increased risk of dementia among individuals with diabetes can be offset by a broad combination of healthy lifestyle factors.Methods:This prospective study utilized data from the UK Biobank cohort. An overall lifestyle score ranging from 0 to 7 was created, with 1 point for each of the seven healthy lifestyle factors: no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, adequate sleep duration, less sedentary behavior, and frequent social contact. Incident dementia was ascertained using linkage with electronic health records. Cox proportional hazards models were used to examine the associations between diabetes, healthy lifestyle score, and dementia incidence.Results:We included 167 946 participants aged 60 years or older without dementia at baseline (mean age 64.1 [SD 2.8] years, 51.7% female). During a median follow-up of 12.3 years, 4351 developed all-cause dementia. Participants with diabetes, but not those with prediabetes, showed a higher risk of dementia than those with normoglycemia. Compared with diabetes-free participants who had a lifestyle score of 7, the hazard ratios (HRs) for dementia were 4.01 (95% CI 3.06–5.25) and 1.74 (95% CI 1.11–2.72) in those with diabetes who had a lifestyle score of 0-2 and 7, respectively. Among participants with diabetes, the HR for dementia comparing a lifestyle score of 7 versus 0-2 was 0.46 (95% CI 0.28–0.75). This finding corresponded to a reduction in the 10-year absolute risk of dementia from 5.22% (95% CI 3.94%–6.73%) to 1.72% (95% CI 0.92%–2.97%). The inverse association between healthy lifestyle score and dementia risk was independent of glycemic control and diabetes medication.Conclusions:Adherence to a broad range of healthy lifestyle factors was associated with a significantly lower risk of dementia among participants with diabetes. Behavioral lifestyle modification through multifactorial approaches should be a priority for prevention and delayed onset of dementia in patients with diabetes.

Kung C.S., Pudney S.E., Shields M.A.

Despite the substantial literature on how loneliness is associated with poor health and premature mortality, there is little detailed research on the extent of its economic gradients. We provide this evidence using a sample of around 400,000 respondents aged 40-70 years from the UK Biobank, who were assessed between 2006 and 2010. We focus on differences in loneliness, as well as social isolation and a lack of social support, across educational attainment, household income, local area deprivation, and recent experience of financial stress. We employ two statistical approaches, the first exploiting the large sample size and detailed geographical information about where respondents live, so we compare individuals who differ in their economic status but reside within the same postcode district. The second approach exploits the fact that for around 36,000 respondents we observe their social health and economic circumstances at two points in time (second wave of assessment conducted between 2014 and 2020), so we conduct a panel analysis that accounts for intercorrelations between the social health measures, and controls for incomplete follow-up of panel members. Across both approaches, we find a substantially higher probability of reporting loneliness, social isolation and a lack of social support, for men and women with lower economic status. Together with the existing health-loneliness literature, these findings establish a 'loneliness pathway' contributing to health inequalities, and consequently a need for effective interventions that might address loneliness and social isolation as part of a broad policy initiative on health inequalities.

Zhao Y., Li Y., Zhuang Z., Song Z., Wang W., Huang N., Dong X., Xiao W., Jia J., Liu Z., Li D., Huang T.

We aimed to investigate the association between polysocial risk score (PsRS), an estimator of individual-level exposure to cumulative social risks, and incident type 2 diabetes in the UK Biobank study. This study includes 319,832 participants who were free of diabetes, cardiovascular disease and cancer at baseline in the UK Biobank study. The PsRS was calculated by counting the 12 social determinants of health from three social risk domains (namely socioeconomic status, psychosocial factors, and neighbourhood and living environment) that had a statistically significant association with incident type 2 diabetes after Bonferroni correction. A healthy lifestyle score was calculated using information on smoking status, alcohol intake, physical activity, diet quality and sleep quality. A genetic risk score was calculated using 403 SNPs that showed significant genome-wide associations with type 2 diabetes in people of European descent. The Cox proportional hazards model was used to analyse the association between the PsRS and incident type 2 diabetes. During a median follow-up period of 8.7 years, 4427 participants were diagnosed with type 2 diabetes. After adjustment for major confounders, an intermediate PsRS (4–6) and high PsRS (≥7) was associated with higher risks of developing type 2 diabetes with the HRs being 1.38 (95% CI 1.26, 1.52) and 2.02 (95% CI 1.83, 2.22), respectively, compared with those with a low PsRS (≤3). In addition, an intermediate to high PsRS accounted for approximately 34% (95% CI 29, 39) of new-onset type 2 diabetes cases. A healthy lifestyle slightly, but significantly, mitigated PsRS-related risks of type 2 diabetes (pinteraction=0.030). In addition, the additive interactions between PsRS and genetic predisposition led to 15% (95% CI 13, 17; p<0.001) of new-onset type 2 diabetes cases (pinteraction<0.001). A higher PsRS was related to increased risks of type 2 diabetes. Adherence to a healthy lifestyle may attenuate elevated diabetes risks due to social vulnerability. Genetic susceptibility and disadvantaged social status may act synergistically, resulting in additional risks for type 2 diabetes.

Ma H., Xue Q., Wang X., Li X., Franco O.H., Li Y., Heianza Y., Manson J.E., Qi L.

Abstract Aims We analyzed whether the frequency of adding salt to foods was associated with the hazard of premature mortality and life expectancy. Methods and results A total of 501 379 participants from UK biobank who completed the questionnaire on the frequency of adding salt to foods at baseline. The information on the frequency of adding salt to foods (do not include salt used in cooking) was collected through a touch-screen questionnaire at baseline. We found graded relationships between higher frequency of adding salt to foods and higher concentrations of spot urinary sodium or estimated 24-h sodium excretion. During a median of 9.0 years of follow-up, 18 474 premature deaths were documented. The multivariable hazard ratios [95% confidence interval (CI)] of all-cause premature mortality across the increasing frequency of adding salt to foods were 1.00 (reference), 1.02 (0.99, 1.06), 1.07 (1.02, 1.11), and 1.28 (1.20, 1.35) (P-trend &lt; 0.001). We found that intakes of fruits and vegetables significantly modified the associations between the frequency of adding salt to foods and all-cause premature mortality, which were more pronounced in participants with low intakes than those with high intakes of these foods (P-interaction = 0.02). In addition, compared with the never/rarely group, always adding salt to foods was related to 1.50 (95% CI, 0.72–2.30) and 2.28 (95% CI, 1.66–2.90) years lower life expectancy at the age of 50 years in women and men, respectively. Conclusions Our findings indicate that higher frequency of adding salt to foods is associated with a higher hazard of all-cause premature mortality and lower life expectancy.

Lloyd-Jones D.M., Ning H., Labarthe D., Brewer L., Sharma G., Rosamond W., Foraker R.E., Black T., Grandner M.A., Allen N.B., Anderson C., Lavretsky H., Perak A.M.

Background: The American Heart Association recently published an updated algorithm for quantifying cardiovascular health (CVH)—the Life’s Essential 8 score. We quantified US levels of CVH using the new score. Methods: We included individuals ages 2 through 79 years (not pregnant or institutionalized) who were free of cardiovascular disease from the National Health and Nutrition Examination Surveys in 2013 through 2018. For all participants, we calculated the overall CVH score (range, 0 [lowest] to 100 [highest]), as well as the score for each component of diet, physical activity, nicotine exposure, sleep duration, body mass index, blood lipids, blood glucose, and blood pressure, using published American Heart Association definitions. Sample weights and design were incorporated in calculating prevalence estimates and standard errors using standard survey procedures. CVH scores were assessed across strata of age, sex, race and ethnicity, family income, and depression. Results: There were 23 409 participants, representing 201 728 000 adults and 74 435 000 children. The overall mean CVH score was 64.7 (95% CI, 63.9–65.6) among adults using all 8 metrics and 65.5 (95% CI, 64.4–66.6) for the 3 metrics available (diet, physical activity, and body mass index) among children and adolescents ages 2 through 19 years. For adults, there were significant differences in mean overall CVH scores by sex (women, 67.0; men, 62.5), age (range of mean values, 62.2–68.7), and racial and ethnic group (range, 59.7–68.5). Mean scores were lowest for diet, physical activity, and body mass index metrics. There were large differences in mean scores across demographic groups for diet (range, 23.8–47.7), nicotine exposure (range, 63.1–85.0), blood glucose (range, 65.7–88.1), and blood pressure (range, 49.5–84.0). In children, diet scores were low (mean 40.6) and were progressively lower in higher age groups (from 61.1 at ages 2 through 5 to 28.5 at ages 12 through 19); large differences were also noted in mean physical activity (range, 63.1–88.3) and body mass index (range, 74.4–89.4) scores by sociodemographic group. Conclusions: The new Life’s Essential 8 score helps identify large group and individual differences in CVH. Overall CVH in the US population remains well below optimal levels and there are both broad and targeted opportunities to monitor, preserve, and improve CVH across the life course in individuals and the population.

Lloyd-Jones D.M., Allen N.B., Anderson C.A., Black T., Brewer L.C., Foraker R.E., Grandner M.A., Lavretsky H., Perak A.M., Sharma G., Rosamond W.

In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life course in populations and individuals. Extensive subsequent evidence has provided insights into strengths and limitations of the original approach to defining and quantifying cardiovascular health. In response, the American Heart Association convened a writing group to recommend enhancements and updates. The definition and quantification of each of the original metrics (Life’s Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change. New metrics were considered, and the age spectrum was expanded to include the entire life course. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This presidential advisory introduces an enhanced approach to assessing cardiovascular health: Life’s Essential 8. The components of Life’s Essential 8 include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each metric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.