Cardiovascular health behavior and health factor changes (1988-2008) and projections to 2020: results from the National Health and Nutrition Examination Surveys

Factors Associated With the Cardiovascular Health of Black and Latino Adults With Type 2 Diabetes

AIMS

The purpose of this study was to assess the levels of cardiovascular health (CVH) of Black and Latino adults with type 2 diabetes (T2D) and examine the association of individual and microsystem level factors with their CVH score.

METHODS

This was a cross-sectional design in 60 Black and Latino Adults aged 18-40 with T2D. Data were collected on sociodemographic, individual (sociodemographic, diabetes self-management, sleep disturbance, depressive symptoms, quality of life, and the inflammatory biomarkers IL-6 and hs-CRP) and microsystem factors (family functioning), and American Heart Association's Life's Simple 7 metrics of CVH. Factors significantly associated with the CVH score in the bivariate analyses were entered into a linear regression model.

RESULTS

The sample had a mean age 34 ± 5 years and was primarily female (75%) with a mean CVH score was 8.6 ± 2.2 (possible range of 0-14). The sample achieved these CVH factors at ideal levels: body mass index <25 kg/m2 (8%); blood pressure <120/80 (42%); hemoglobin A1c < 7% (57%); total cholesterol <200 mg/dL (83%); healthy diet (18%); never or former smoker > one year (95%); and physical activity (150 moderate-to-vigorous minutes/week; 45%). In the multivariable model, two factors were significantly associated with cardiovascular health: hs-CRP (B = -0.11621, p < .0001) and the general health scale (B = 0.45127, p = .0013).

CONCLUSIONS

This sample had an intermediate level of CVH, with inflammation and general health associated with overall CVH score.

Plasma Metabolites and Life's Simple 7 in REGARDS

BACKGROUND

The American Heart Association's Life's Simple 7 (LS7) is a health metric that captures important factors associated with cardiovascular and cerebrovascular health. Previous studies highlight the potential of plasma metabolites to serve as a marker for lifestyle and health behavior that could be a target for stroke prevention. The objectives of this study were to identify metabolites that were associated with LS7 and incident ischemic stroke and mediate the relationship between the two.

METHODS

Targeted metabolomic profiling of 162 metabolites by liquid chromatography-tandem mass spectrometry was used to identify candidate metabolites in a stroke case-cohort nested within the REGARDS study (Reasons for Geographic and Racial Differences in Stroke). Weighted linear regression and weighted Cox proportional hazard models were used to identify metabolites that were associated with LS7 and incident ischemic stroke, respectively. Effect measures were based on a 1-SD change in metabolite level. Metabolite mediators were examined using inverse odds ratio weighting mediation analysis.

RESULTS

The study comprised 1075 ischemic stroke cases and 968 participants in the random cohort sample. Three out of 162 metabolites were associated with the overall LS7 score including guanosine (β, -0.46 [95% CI, -0.65 to -0.27]; P=2.87×10-6), cotinine (β, -0.49 [95% CI, -0.70 to -0.28]; P=7.74×10-6), and acetylneuraminic acid (β, -0.59 [95% CI, -0.77 to -0.42]; P=4.29×10-11). Guanosine (hazard ratio, 1.47 [95% CI, 1.31-1.65]; P=6.97×10-11), cotinine (hazard ratio, 1.30 [95% CI, 1.16-1.44]; P=2.09×10-6), and acetylneuraminic acid (hazard ratio, 1.29 [95% CI, 1.15-1.45]; P=9.24×10-6) were associated with incident ischemic stroke. The mediation analysis identified guanosine (27% mediation, indirect effect; P=0.002), cotinine (30% mediation, indirect effect; P=0.004), and acetylneurminic acid (22% mediation, indirect effect; P=0.041) partially mediated the relationship between LS7 and ischemic stroke.

CONCLUSIONS

We identified guanosine, cotinine, and acetylneuraminic acid that were associated with LS7, incident ischemic stroke, and mediated the relationship between LS7 and ischemic stroke.

Association between the trajectory of ideal cardiovascular health metrics and incident chronic kidney disease among 27,635 older adults in northern China-a prospective cohort study

BACKGROUND

There is a lack of relevant studies evaluating the long-term impact of cardiovascular health factor (CVH) metrics on chronic kidney disease (CKD).

OBJECTIVE

This study investigates the long-term change in CVH metrics in older people and explores the relationship between CVH metrics trajectory and CKD.

METHODS

In total, 27,635 older people aged over 60 from the community-based Tianjin Chronic Kidney Disease Cohort study were enrolled. The participants completed five annual physical examinations between January 01, 2014, and December 31, 2018, and a subsequent follow-up between January 01, 2019, and December 31, 2021. CVH metrics trajectories were established by the group-based trajectory model to predict CKD risk. The relationships between baseline CVH, CVH change (ΔCVH), and CKD risk were also explored by logistic regression and restricted cubic spline regression model. In addition, likelihood ratio tests were used to compare the goodness of fit of the different models.

RESULTS

Six distinct CVH metrics trajectories were identified among the participants: low-stable (11.19%), low-medium-stable (30.58%), medium-stable (30.54%), medium-high-decreased (5.46%), medium-high-stable (18.93%), and high-stable (3.25%). After adjustment for potential confounders, higher CVH metrics trajectory was associated with decreased risk of CKD (P for trend < 0.001). Comparing the high-stable with the low-stable group, the risk of CKD decreased by 46%. All sensitivity analyses, including adjusting for baseline CVH and removing each CVH component from the total CVH, produced consistent results. Furthermore, the likelihood ratio test revealed that the model established by the CVH trajectory fit better than the baseline CVH and Δ CVH.

CONCLUSION

The higher CVH metrics trajectory and improvement of CVH metrics were associated with decreased risk of CKD. This study emphasized the importance of improving CVH to achieve primary prevention of CKD in older people.

Marital status, marital transition and health behaviour and mental health outcomes among middle-aged and older adults in Thailand: A national longitudinal study

OBJECTIVES

The aim of this study was to assess the longitudinal association between marital status, marital transition, mental ill-health, and health risk behaviours among middle-aged and older adults in Thailand.

METHODS

We analyzed prospective cohort data of participants 45 years and older from three consecutive waves in 2015, 2017, and in 2020 (analytic sample, n = 2863) of the Health, Aging and Retirement in Thailand (HART) study. Sociodemographic and health variables were assessed by self-report.

RESULTS

Being single was positively associated with current smoking among men and transitioning to widowed or divorced was associated with incident current smoking among women. Divorced or separated was positively associated with current alcohol use among men and transitioning to marriage was associated with incident alcohol use among women. Being single or widowed was positively associated with underweight and negatively associated with obesity among women. Men who were divorced, single, or widowed had higher odds of having depressive symptoms and among women, transitioning to being widowed or divorced or separated was associated with incident depressive symptoms. Among both men and women, being divorced, single or widowed were positively associated with poor quality of life/happiness, and among men being divorced, single or widowed was positively associated with loneliness, and among women, being single or widowed was positively associated with loneliness. Among men, being single was positively associated with having an emotional or psychiatric disorder.

CONCLUSION

We found among men and/or women that being unmarried was associated with several health risk behaviours and mental-ill health indicators.

Baseline and longitudinal cardiovascular health using Life's Essential 8 metrics with the risk of incident hypertension

OBJECTIVE

The quantification of cardiovascular health (CVH) was updated by the American Heart Association recently by using the "Life's Essential 8" (LE8) score. We aimed to investigate the associations of baseline and longitudinal CVH status measured by the new LE8 score (except for blood pressure) with the risk of hypertension.

METHODS

A total of 52 990 participants with complete data on LE8 metrics and without hypertension were enrolled from the Kailuan study, Tangshan, China. The associations of incident hypertension with the overall baseline, time-updated, and time-varying CVH score (ranging 0 [lowest] to 100 [highest]), and each component of LE8, were assessed by Cox regressions.

RESULTS

During a median follow-up of 10.73 years 28 380 cases of incident hypertension were identified. The risk of hypertension attenuated with increased CVH score (Ptrend < 0.0001), the hazard ratios (HRs) in high CVH versus low CVH group was 0.54 (95% confidence interval [CI], 0.51-0.57) for baseline CVH, 0.47 (95% CI, 0.45-0.50) for time-updated CVH, and 0.59 (95% CI, 0.55-0.63) for time-varying CVH. The predictive value of CVH in predicting hypertension improved by using LE8 than using Life's Simple 7 metrics. Among LE8 components, body mass index score was the strongest risk factor for hypertension. Subgroup analyses showed that the benefit of a higher CVH score on hypertension was more prominent in young adults and in women (Pinteraction < 0.05).

CONCLUSIONS

A higher CVH score assessed by new LE8 is associated with a lower risk of subsequent hypertension, especially young adults and women.

Metabolite Signature of Life's Essential 8 and Risk of Coronary Heart Disease Among Low-Income Black and White Americans

BACKGROUND

Life's essential 8 (LE8) is a comprehensive construct of cardiovascular health. Yet, little is known about the LE8 score, its metabolic correlates, and their predictive implications among Black Americans and low-income individuals.

METHODS

In a nested case-control study of coronary heart disease (CHD) among 299 pairs of Black and 298 pairs of White low-income Americans from the Southern Community Cohort Study, we estimated LE8 score and applied untargeted plasma metabolomics and elastic net with leave-one-out cross-validation to identify metabolite signature (MetaSig) of LE8. Associations of LE8 score and MetaSig with incident CHD were examined using conditional logistic regression. The mediation effect of MetaSig on the LE8-CHD association was also examined. The external validity of MetaSig was evaluated in another nested CHD case-control study among 299 pairs of Chinese adults.

RESULTS

Higher LE8 score was associated with lower CHD risk (standardized odds ratio, 0.61 [95% CI, 0.53-0.69]). The MetaSig, consisting of 133 metabolites, showed significant correlation with LE8 score (r=0.61) and inverse association with CHD (odds ratio, 0.57 [0.49-0.65]), robust to adjustment for LE8 score and across participants with different sociodemographic and health status ([odds ratios, 0.42-0.69]; all P<0.05). MetaSig mediated a large portion of the LE8-CHD association: 53% (32%-80%). Significant associations of MetaSig with LE8 score and CHD risk were found in validation cohort (r=0.49; odds ratio, 0.57 [0.46-0.69]).

CONCLUSIONS

Higher LE8 score and its MetaSig were associated with lower CHD risk among low-income Black and White Americans. Metabolomics may offer an objective measure of LE8 and its metabolic phenotype relevant to CHD prevention among diverse populations.

Longitudinal associations of loneliness with mental ill-health, physical ill-health, lifestyle factors and mortality in ageing adults in Thailand

OBJECTIVES

The aim of this study was to assess the longitudinal association between loneliness, mental and physical ill-health indicators, lifestyle factors and mortality among middle-aged and older adults in Thailand.

METHODS

We analyzed prospective cohort data of participants 45 years and older from three consecutive waves in 2015 (n = 5616), 2017 (n = 3600), and in 2020 (n = 2863) of the Health, Aging and Retirement in Thailand (HART) study. Loneliness was assessed with a single item. To assess the longitudinal associations between loneliness and health outcomes between 2015 (baseline), 2017 (first follow-up) and 2020 (second follow-up), we conducted Generalized Estimating Equations analysis (GEE).

RESULTS

The proportion of loneliness was 21.6% in 2015, 23.8% in 2017 and 21.3% in 2020. In the adjusted GEE logistic regression model, loneliness was positively associated with mental ill-health (poor self-rated mental health status, poor quality of life/happiness, depressive symptoms, and insomnia symptoms), physical ill-health (poor self-rated physical health status, hypertension, kidney disease, osteoporosis, and ADL disability), and lifestyle factors (physical inactivity, and having underweight). Furthermore, in adjusted Cox proportional hazards regression, loneliness was associated with mortality. In adjusted logistic regression, compared to without loneliness in all three study waves, having loneliness in one wave and/or two to three waves was positively associated with incident mental ill-health (incident poor self-rated mental health status, incident poor quality of life/happiness, incident depressive symptoms, and incident insomnia symptoms), incident physical ill-health (incident poor self-rated physical health status, incident diabetes, incident kidney disease, and incident ADL disability), and incident lifestyle factors (having incident underweight).

CONCLUSION

We found that loneliness was associated with several mental and physical ill-health indicators, lifestyle factors and mortality. Enhanced screening and treatment of loneliness may reduce mental and physical ill-health indicators in Thailand.

Twenty-year trends in the prevalence of modifiable cardiovascular risk factors in young acute coronary syndrome patients hospitalized in Switzerland

AIMS

Modifiable cardiovascular risk factors (RFs) play a key role in the development of coronary artery disease. We evaluated 20-year trends in RF prevalence among young adults hospitalized with acute coronary syndromes (ACS) in Switzerland.

METHODS AND RESULTS

Data were analysed from the Acute Myocardial Infarction in Switzerland (AMIS) Plus registry from 2000 to 2019. Young patients were defined as those aged <50 years. Among 58 028 ACS admissions, 7073 (14.1%) were young (median 45.6 years, IQR 42.0-48.0), of which 91.6% had at least one modifiable RF and 59.0% had at least two RFs. Smoking was the most prevalent RF (71.4%), followed by dyslipidaemia (57.3%), hypertension (35.9%), obesity (21.7%), and diabetes (10.1%). Compared with older patients, young patients were more likely to be obese (21.7% vs. 17.4%, P < 0.001) and active smokers (71.4% vs. 33.9%, P < 0.001). Among young patients, between 2000 and 2019, there was a significant increase in the prevalence of hypertension from 29.0% to 51.3% and obesity from 21.2% to 27.1% (both Ptrend < 0.001) but a significant decrease in active smoking from 72.5% to 62.5% (Ptrend = 0.02). There were no significant changes in the prevalence of diabetes (Ptrend = 0.32) or dyslipidaemia (Ptrend = 0.067).

CONCLUSION

Young ACS patients in Switzerland exhibit a high prevalence of RFs and are more likely than older patients to be obese and smokers. Between 2000 and 2019, RF prevalence either increased or remained stable, except for smoking which decreased but still affected approximately two-thirds of young patients in 2019. Public health initiatives targeting RFs in young adults in Switzerland are warranted.

Predictors of and healthcare utilisation of depressive symptoms among middle-aged and older adults in Thailand: a national cross-sectional community-based study in 2015

OBJECTIVE

The prevalence of depressive symptoms and healthcare utilisation among the ageing population in Thailand is unclear. The study assessed the predictors of and healthcare utilisation of depressive symptoms among an ageing population in Thailand.

DESIGN

Cross-sectional, population-based study.

SETTING

National sample of people aged 45 years and older in Thailand from the 2015 Health, Ageing and Retirement in Thailand (HART) study.

PARTICIPANTS

The sample included 5135 individuals (≥45 years) with complete depressive symptoms data from the 2015 HART study.

OUTCOME MEASURES

Depressive symptoms were measured with the Centre for Epidemiological Studies Depression Scale. Logistic regression was used to estimate the associations between sociodemographic factors, health factors and depressive symptoms, and the associations between depressive symptoms and different types of healthcare utilisation.

RESULTS

The study population included 5135 participants with a median age of 66 years. The prevalence of depressive symptoms was 13.9%. The proportion of past 2 year hospital admission was 12.8%, hospital outpatient 49.7%, health centre outpatient 26.2%, private clinic 8.4%, traditional medical practitioner 2.8%, medical home visit 4.9% and past-year medical check-up 50.3%. In adjusted logistic regression analysis, low income, residing in the Southern region, history of a cardiovascular disease, brain diseases and/or psychiatric problems and functional disability were positively associated with depressive symptoms. Male sex, being a Buddhist, urban residence, high religious involvement, moderate and high physical activity were negatively associated with depressive symptoms. In fully adjusted logistic regression models, depressive symptoms were positively associated with hospital inpatient utilisation, hospital outpatient utilisation, health centre utilisation and utilisation of a traditional medicine practitioner.

CONCLUSIONS

More than one in 10 participants had depressive symptoms. Chronic conditions, sociodemographic factors, physical inactivity and low religious involvement increased the odds of depressive symptoms. Furthermore, depressive symptoms increased the odds of conventional and traditional healthcare utilisation.

Progress and prospect of nanotechnology for cardiac fibrosis treatment

Cardiac fibrosis is the excessive accumulation of extracellular matrix components in the heart, leading to reduced cardiac functionality and heart failure. This review provides an overview of the therapeutic applications of nanotechnology for the treatment of cardiac fibrosis. We first delve into the fundamental pathophysiology of cardiac fibrosis, highlighting the key molecular players, including Matrix Metalloproteinases, Transforming Growth Factor-beta, and several growth factors, cytokines, and signaling molecules. Each target presents a unique opportunity to develop targeted nano-therapies. We then focus on recent advancements in nanotechnology and how nanoparticles can be engineered to deliver drugs or therapeutic genes. These advanced delivery approaches have shown significant potential to inhibit fibrosis-promoting factors, thereby mitigating the fibrotic response and potentially reversing disease progression. In addition, we discuss the challenges associated with developing and translating nanotechnology-based drug delivery systems, including ensuring biocompatibility, safety, and regulatory compliance. This review highlights how nanotechnology can bridge the gap between lab research and clinical practice for treating cardiac fibrosis.

Acetylglutamine Differentially Associated with First-Time Versus Recurrent Stroke

Approximately one-quarter of strokes occur in individuals with prior stroke. Despite the advancement in secondary stroke prevention, the long-term risk of recurrent stroke has remained unchanged. The objective of this study was to identify metabolite risk markers that are associated with recurrent stroke. We performed targeted metabolomic profiling of 162 metabolites by liquid chromatography-tandem mass spectrometry in baseline plasma in a stroke case-cohort study nested within the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, an observational cohort study of 30,239 individuals aged 45 and older enrolled in 2003-2007. Weighted Cox proportional hazard models were used to identify metabolites that had a differential effect on first-time versus recurrent stroke using an interaction term between metabolite and prior stroke at baseline (yes or no). The study included 1391 incident stroke cases identified during 7.1 ± 4.5 years of follow-up and 1050 participants in the random cohort sample. Among 162 metabolites, 13 candidates had a metabolite-by-prior stroke interaction at a p-value <0.05, with one metabolite, acetylglutamine, surpassing the Bonferroni adjusted p-value threshold (p for interaction = 5.78 × 10-5). In an adjusted model that included traditional stroke risk factors, acetylglutamine was associated with recurrent stroke (HR = 2.27 per SD increment, 95% CI = 1.60-3.20, p = 3.52 × 10-6) but not with first-time stroke (HR = 0.96 per SD increment, 95% CI = 0.87-1.06, p = 0.44). Acetylglutamine was associated with recurrent stroke but not first-time stroke, independent of traditional stroke risk factors. Future studies are warranted to elucidate the pathogenesis of acetylglutamine and recurrent stroke risk.

Time spent in a better cardiovascular health and risk of cardiovascular diseases and mortality: a prospective cohort study

BACKGROUND

The protective effect of a higher ideal cardiovascular health (CVH) score on cardiovascular diseases (CVDs) and mortality is well recognized. However, little is known regarding the length of favorable CVH status associated with CVDs and mortality. This study aimed to examined whether the duration of better (ideal or intermediate) CVH is associated with risk of developing CVDs and mortality.

METHODS

This prospective cohort study used data from 83,536 individuals from 2006 to 2020 who were enrolled in the Kailuan Study. The CVH scores of individuals were assessed at visits 1, 2, 3, and 4, respectively. The years spent in better CVH were estimated for each individual as the number of examination cycles (0-4) in which the participant was in that CVH score ≥ 8 multiplied by 2 (the mean year interval of each visit). The primary outcomes are CVD events and all-cause mortality.

RESULTS

After a median follow-up period of 7.48 years, 5486 (7.07%) cases of incident CVD events and 7669 (9.18%) deaths occurred. Compared with participants in " ≤ 4 years" group, those who maintained for > 4 years had less likely to develop adverse outcomes (CVD events: hazard ratio (HR): 0.60, 95% confidence interval (CI 0.56-0.63; all-cause mortality: HR: 0.77, 95% CI 0.74-0.81). The number of years spent in better CVH was nonlinearly correlated with CVD events or mortality (all Ps for nonlinear < 0.05). The results indicated that maintaining more than 6 years in a better CVH status was associated with a decreased risk of CVD events or mortality.

CONCLUSION

Our study indicates that individuals maintaining more than 6 years in better CVH could increase cardiometabolic benefits and a lower risk of all-cause mortality.

Self-rated physical and mental health among older adults 80 years and older: cross-sectional results from a National community sample in Thailand

BACKGROUND

The aim of this study was to assess the self-reported physical health (SRPH) and self-reported mental health (SRMH) of older adults 80 years and older in Thailand.

METHODS

We analyze national cross-sectional data from the Health, Aging and Retirement in Thailand (HART) in 2015. Physical and mental health status was assessed by self-report.

RESULTS

The sample included 927 participants (excluding 101 proxy interviews), 80-117 years, median age 84 years [interquartile range (IQR) 81-86 years]. The median SRPH was 70.0 (IQR = 50.0-80.0), and median SRMH was 80.0 (IQR = 70.0 to 90.0). The prevalence of (good) SRPH was 53.3%, and the prevalence of (good) SRMH was 59.9%. In the final adjusted model, low or no income, living in the Northeastern, Northern and Southern region, daily activity limitations, moderate/severe pain, having one or two or more physical conditions, and low cognitive functioning were negatively associated, and higher physical activity was positively associated with good SRPH. No or low income, residing in the northern region of the country, daily activity limitations, low cognitive functioning, and probable depression were negatively associated with good SRMH, and physical activity was positively associated with good SRMH.

CONCLUSION

SRPH and SRMH was relatively high rated among the oldest old in Thailand, and influenced by various social, economic, and health-related factors. Special attention should be given to those with no or low income, those living in the non-central regions and those having no or low formal social engagement. Health care and other services should improve physical activity, financial support, and physical and mental care management to promote physical and mental well-being of older adults 80 years and older in Thailand.

Educational Attainment and Dementia: Mediation by Mid-Life Vascular Risk Factors

INTRODUCTION

Lower education is associated with higher burden of vascular risk factors in mid-life and higher risk of dementia in late life. We aim to understand the causal mechanism through which vascular risk factors potentially mediate the relationship between education and dementia.

METHODS

In a cohort of 13,368 Black and White older adults in the Atherosclerosis Risk in Communities Study, we assessed the relationship between education (grade school, high school without graduation, high school graduate or equivalent, college, graduate/professional school) and dementia among all participants and among those with incident stroke. Cox models were adjusted for age, race-center (a variable stratified by race and field center), sex, apolipoprotein E (APOE) ε4 genotype, and family history of cardiovascular disease. Causal mediation models assessed mediation by mid-life systolic blood pressure, fasting blood glucose, body mass index, and smoking.

RESULTS

More education was associated with 8 to 44% lower risk of dementia compared to grade school-level education in a dose-response pattern, while the relationship between education and post-stroke dementia was not statistically significant. Up to 25% of the association between education and dementia was mediated through mid-life vascular risk factors, with a smaller percentage mediated for lower levels of education.

INTERPRETATION

A substantial proportion of the relationship between education and dementia was mediated through mid-life vascular risk factors. However, risk factor modification is unlikely to fully address the large educational disparities in dementia risk. Prevention efforts must also address disparities in socioeconomic resources leading to divergent early-life education and other structural determinants of mid-life vascular risk factors. ANN NEUROL 2023;94:13-26.

Flavor perception and health benefits of tea

As one of the most consumed non-alcoholic beverages in the world, tea is acclaimed for its pleasant flavor and various health benefits. Different types of tea present a distinctive flavor and bioactivity due to the changes in the composition and proportion of respective compounds. This article aimed to provide a more comprehensive understanding of tea flavor (including aroma and taste) and the character of tea in preventing and alleviating diseases. The recent advanced modern analytical techniques for revealing flavor components in tea, including enrichment, identification, quantitation, statistics, and sensory evaluation methodologies, were summarized in the following content. Besides, the role of tea in anti-cancer, preventing cardiovascular disease and metabolic syndrome, anti-aging and neuroprotection, and regulating gut microbiota was also listed in this article. Moreover, questions and outlooks were mentioned to objectify tea products' flavor quality and health benefits on a molecular level and significantly promote our understanding of the comprehensive value of tea as a satisfactory health beverage in the future.

Trends in unhealthy lifestyle factors in US NHANES respondents with cardiovascular disease for the period between 1999 and 2018

Objectives

To examine national trends in unhealthy lifestyle factors among adults with cardiovascular disease (CVD) in the United States (US) between 1999 and 2018.

Methods

We analyzed data from National Health and Nutrition Examination Survey (NHANES), a nationally representative survey of participants with CVD who were aged ≥20 years, which was conducted between 1999 and 2000 and 2017-2018. CVD was defined as a self-report of congestive heart failure, coronary heart disease, angina, heart attack, or stroke. The prevalence rate of each unhealthy lifestyle factor was calculated among adults with CVD for each of the 2-year cycle surveys. Regression analyses were used to assess the impact of sociodemographic characteristics (age, sex, race/ethnicity, family income, education level, marital status, and employment status).

Results

The final sample included 5610 NHANES respondents with CVD. The prevalence rate of their current smoking status remained stable among respondents with CVD between 1999 and 2000 and 2017-2018. During the same period, there was a decreasing trend in the age-adjusted prevalence rate of poor diet [primary American Heart Association (AHA) score <20; 47.5% (37.9%-57.0%) to 37.5% (25.7%-49.3%), p < 0.01]. Physical inactivity marginally increased before decreasing, with no statistical significance. The prevalence rate of sedentary behavior increased from 2007 to 2014 but subsequently returned to its original level in 2018 with no statistical significance. The age-adjusted prevalence rate of obesity increased from 32% (27.2%-36.8%) in 1999-2000 to 47.9% (39.9%-55.8%) in 2017-2018 (p < 0.001). The age-adjusted prevalence rate of depression increased from 7% (4.2%-9.9%) in 1999-2000 to 13.9% (10.2%-17.6%) in 2017-2018 (p = 0.056). Trends in mean for each unhealthy lifestyle factor were similar after adjustment for age. We found that respondents who had low education and income levels were at a higher risk of being exposed to unhealthy lifestyle factors (i.e., smoking, poor diet, and physical inactivity) than those who had high education and income levels.

Conclusions

There is a significant reduction in the prevalence rate of poor diet among US adults with CVD between 1999 and 2018, while the prevalence rate of obesity showed increasing trends over this period. The prevalence rate of current smoking status, sedentary behavior, and depression was either stable or showed an insignificant increase. These findings suggest that there is an urgent need for health policy interventions targeting unhealthy lifestyles among adults with CVD.

Metabolite Signature of Life's Essential 8 and Risk of Coronary Heart Disease among Low-Income Black and White Americans

Background and Aims

Life's Essential 8 (LE8) is a comprehensive construct of cardiovascular health. Yet, little is known about LE8 score, its metabolic correlates, and their predictive implications among Black Americans and low-income individuals.

Methods

In a nested case-control study of coronary heart disease (CHD) among 598 Black and 596 White low-income Americans, we estimated LE8 score, conducted untargeted plasma metabolites profiling, and used elastic net with leave-one-out cross-validation to identify metabolite signature (MetaSig) of LE8. Associations of LE8 score and MetaSig with incident CHD were examined using conditional logistic regression. Mediation effect of MetaSig on the LE8-CHD association was also examined. The external validity of MetaSig was evaluated in another nested CHD case-control study among 598 Chinese adults.

Results

Higher LE8 score was associated with lower CHD risk [standardized OR (95% CI)=0.61 (0.53-0.69)]. The identified MetaSig, consisting of 133 metabolites, showed strong correlation with LE8 score ( r =0.61) and inverse association with CHD risk [OR (95% CI)=0.57 (0.49-0.65)], robust to adjustment for LE8 score and across participants with different sociodemographic and health status (ORs: 0.42-0.69; all P <0.05). MetaSig mediated a large portion of the LE8-CHD association: 53% (32%-80%) ( P <0.001). Significant associations of MetaSig with LE8 score and CHD risk were found in validation cohort [ r =0.49; OR (95% CI)=0.57 (0.46-0.69)].

Conclusions

Higher LE8 score and its MetaSig were associated with lower CHD risk among low-income Black and White Americans. Metabolomics may offer an objective and comprehensive measure of LE8 score and its metabolic phenotype relevant to CHD prevention among diverse populations.

Time, Technology, Social Support, and Cardiovascular Health of Emerging Adults With Type 1 Diabetes

BACKGROUND

Emerging adults with Type 1 diabetes (T1DM) face an increased risk of cardiovascular disease; however, there are both barriers and facilitators to achieving ideal cardiovascular health in this stage of their lives.

OBJECTIVES

The aim of this study was to qualitatively explore the barriers and facilitators of achieving ideal levels of cardiovascular health in a sample of emerging adults with T1DM ages 18-26 years.

METHODS

A sequential mixed-methods design was used to explore achievement of ideal cardiovascular health using the seven factors defined by the American Heart Association (smoking status, body mass index, physical activity, healthy diet, total cholesterol, blood pressure, and hemoglobin A1C [substituted for fasting blood glucose]). We assessed the frequency of achieving ideal levels of each cardiovascular health factor. Using Pender's health promotion model as a framework, qualitative interviews explored the barriers and facilitators of achieving ideal levels of each factor of cardiovascular health.

RESULTS

The sample was mostly female. Their age range was 18-26 years, with a diabetes duration between 1 and 20 years. The three factors that had the lowest achievement were a healthy diet, physical activity at recommended levels, and hemoglobin A1C of <7%. Participants described lack of time as a barrier to eating healthy, being physically active, and maintaining in-range blood glucose levels. Facilitators included the use of technology in helping to achieve in-range blood glucose and social support from family, friends, and healthcare providers in maintaining several healthy habits.

DISCUSSION

These qualitative data provide insight into how emerging adults attempt to manage their T1DM and cardiovascular health. Healthcare providers have an important role in supporting these patients in establishing ideal cardiovascular health at an early age.

Change in cardiovascular health among adults with current or past major depressive disorder enrolled in intensive smoking cessation treatment

BACKGROUND

Elevated depressive symptoms and cigarette smoking are independently associated with poorer cardiovascular health (CVH), but it is unknown whether their treatment can synergistically improve CVH. We sought to characterize CVH of adults with comorbid depression and smoking and examine changes in CVH associated with changes in smoking and depression.

METHODS

Participants (N = 300, 55 % women) were adult smokers (≥1 cigarette/day) with lifetime major depressive disorder enrolled in a 12-week intervention trial targeting depression and smoking. Multiple linear regression examined prospective associations between changes in depression (Beck Depression Inventory-II), smoking (past 24-hour cigarettes or smoking abstinence), and modified CVH score (per American Heart Association, excluding smoking: diet, physical activity, body mass index, blood glucose, cholesterol, blood pressure).

RESULTS

Baseline mean CVH score was 5.87/12 points (SD = 2.13). No participants met "ideal" on all CVH components (blood glucose: 48 %, cholesterol: 46 %, physical activity: 38 %, body mass index: 24 %, blood pressure: 22 %, diet: 3 %). CVH scores did not change from baseline to end-of-treatment (M = 0.18 points, SD = 1.36, p = .177), nor did change in depression × smoking predict change in CVH (p = .978). However, greater reductions in depression were significantly associated with greater improvement in CVH (β = -0.04, SE = 0.01, p = .015).

LIMITATIONS

This study was limited by a short follow-up period, missing blood glucose and cholesterol data, and treatment-seeking smokers.

CONCLUSIONS

Adults with comorbid depression and smoking had poor CVH. Although integrated treatment for depression and smoking improved both conditions, only reductions in depression were associated with improvements in CVH. These findings have implications for integrating psychosocial treatment into CVH promotion efforts.

REGISTRATION

NCT02378714 (clinicaltrials.gov).

Prevalence and Correlates of Cardiovascular Health Status among Adults in Afghanistan: Results of a National Survey in 2018

Background

The aim of the study was to assess the prevalence and correlates of cardiovascular health (CVH) status among adults in Afghanistan.

Methods

In a national cross-sectional household survey 3,447 adults completed CVH measurements in Afghanistan. Criteria for ideal CVH (ICVH) were physical activity, healthy diet, non-smoking, fasting blood glucose (<100 mg/dL), body mass index (<25 kg/m²), total cholesterol (<200 mg/dL), and blood pressure (<120/<80 mmHg).

Results

More than one-third (34.3%) of participants had 5-7 ICVH, 45.7% 3-4 ICVH, and 20% had 0-2 ICVH. In adjusted logistic regression analysis, secondary or more education (AOR: 1.80, 95% CI: 1.22-2.66) was positively associated, and older age (45-69 years) (AOR: 0.33, 95% CI: 0.26-0.42), and urban residence (AOR: 0.67, 95% CI: 0.51-0.88) were inversely associated with 5-7 ICVH.

Conclusions

The prevalence of ICVH was low in Afghan adults. Population measures may be used to improve CVH targeting identified associated factors.

Life's Essential 8 and 10-Year and Lifetime Risk of Atherosclerotic Cardiovascular Disease in China

INTRODUCTION

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Use of clinical scores in young Australian adults for prediction of atherosclerosis in middle age

We sought to apply a simple cardiovascular health tool not requiring laboratory tests (the Fuster-BEWAT score, FBS) to predict subclinical atherosclerosis. This study included 2657 young adults (< 40 years of age). In the prognostic group (n = 894, followed for 13 years until aged 40-50 years at follow-up), the primary outcome was presence of carotid plaque measured by carotid ultrasound at follow-up. Of these 894 participants, 86 (9.6%) had unilateral, and 23 participants (2.6%) had bilateral, carotid plaques at follow-up. The baseline FBS was predictive of carotid plaque at follow-up [odds ratio OR = 0.86 (95% CI 0.77-0.96) per 1-SD increase in FBS], similar to prediction from Pooled Cohort Equation [PCE, OR = 0.72 (0.61-0.85) per 1-SD decrease in PCE]. Risk scores at baseline predicted outcomes more strongly than those at follow-up, and did so independently of any changes over 13 years of follow-up. Similar discrimination for predicting carotid plaque after 13 years was found for both baseline FBS [C-statistic = 0.68 (95% CI 0.62-0.74)] and PCE [C-statistic = 0.69 (95% CI 0.63-0.75)]. Application of this FBS prognostic information to a contemporary cohort of 1763 young adults anticipates the future development of plaque in 305 (17.3%), especially in the 1494 participants (85%) with ≤ 2 metrics of ideal health. In conclusions, FBS measured in young adulthood predicted atherosclerosis 13 years later in middle age, independent of score changes over the follow-up period, emphasizing the importance of early damage to vascular health. FBS may be a simple and feasible risk score for engaging low-risk young people with reduction of future cardiovascular risk.

Changes in ideal cardiovascular health among Malawian adults from 2009 to 2017

Ideal Cardiovascular Health (CVH) is a concept defined by the American Heart Association (AHA) as part of its 2020 Impact Goals. Until now, changes in ideal CVH have been poorly evaluated in Sub-Saharan African populations. We aimed to investigate changes in the prevalence of ideal CVH and its components in a population of Malawian adults. Secondary analysis was done on cross-sectional data from 2009 to 2017, obtained from the Malawi STEPS surveys which included 5730 participants aged 25-64 years. CVH metrics categorized into "ideal (6-7 ideal metrics)", "intermediate (3-5 ideal metrics)" and "poor (0-2 ideal metrics)" were computed using blood pressure, body mass index (BMI), fasting glycaemia, fruit and vegetable intake, physical activity, smoking, and total cholesterol. Sampling weights were used to account for the sampling design, and all estimates were standardised by age and sex using the direct method. The mean participant age across both periods was 40.1 ± 12.4 years. The prevalence of meeting ≥ 6 ideal CVH metrics increased substantially from 9.4% in 2009 to 33.3% in 2017, whereas having ≤ 2 ideal CVH metrics decreased from 7.6% to 0.5% over this time. For the individual metrics, desirable levels of smoking, fruit and vegetable intake, physical activity, blood pressure (BP), total cholesterol and fasting glucose all increased during the study period whilst achievable levels of BMI (< 25 kg/m²) declined. From 2009 to 2017, the mean number of ideal CVH metrics was higher in women compared to men (from 2.1% to 5.1% vs 2.0% to 5.0%). However, poor levels of smoking and fruit and vegetable intake were higher in men compared to women (from 27.9% to 23.6% vs. 7.4%% to 1.9% , and from 33.7% to 42.9% vs 30.8% to 34.6%, respectively). Also, whilst achievable levels of BMI rose in men (from 84.4% to 86.2%) the proportion reduced in women (from 72.1% to 67.5% ). Overall, CVH improved in Malawian adults from 2009 to 2017 and was highest in women. However, the prevalence of poor fruit and vegetable intake, and poor smoking remained high in men whilst optimal levels of BMI was declined in women. To improve this situation, individual and population-based strategies that address body mass, smoking and fruit and vegetable intake are warranted for maximal health gains in stemming the development of cardiovascular events.

Racial disparities and prevalence of cardiovascular disease risk factors, cardiometabolic risk factors, and cardiovascular health metrics among US adults: NHANES 2011-2018

This study estimated the prevalence of cardiovascular disease (CVD) risk factors, cardiometabolic (CM) risk factors, and cardiovascular health metrics (CVHMs) among US adults and across race/ethnicity groups. The study comprised 8370 US adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (NHANES) 2011-2018, free of coronary heart disease/heart failure, angina/angina pectoris, heart attack, and stroke, who provided complete data for the outcome variables of interest. Age-adjusted prevalence of CVD and CM risk factors, and CVHMs were computed for all adults and across race/ethnicity groups. All analyses accounted for the complex, multi-stage survey sampling design of the NHANES. Hypertension (45.0%), obesity (40.0%), fasting plasma glucose ≥ 100 mg/dL or hypoglycemic medication (51.0%), ideal physical activity (59.2%) and ideal smoking status (56.9%) were most prevalent for the whole sample. Mexican Americans and non-Hispanic Blacks had elevated risk for some, but not all, CVD and CM risk factors compared to non-Hispanic Whites and non-Hispanic Asians. Reducing further health disparities and persisting differences among racial and ethnic groups is vital to achieving the American Heart Association vision of all people having ideal cardiovascular health, living healthier and longer.

The impact of cardiovascular health and frailty on mortality for males and females across the life course

BACKGROUND

The effect of frailty and poor cardiovascular health on mortality for males and females is not fully elucidated. We investigated whether the combined burden of frailty and poor cardiovascular health is associated with all-cause and cardiovascular disease (CVD) mortality by sex and age.

METHODS

We analyzed data of 35,207 non-institutionalized US residents aged 20-85 years old (mean age [standard deviation]: 46.6 [16.7 years], 51.4% female, 70.8% White, 10.3% Black, 13.2% Hispanic) from the National Health and Nutrition Examination Survey (1999-2015). Cardiovascular health was measured with the American Heart Association's Life's Simple 7 score (LS7). A 33-item frailty index (FI) was constructed to exclude cardiovascular health deficits. We grouped the FI into 0.1 increments (non-frail: FI &lt; 0.10, very mildly frail: 0.1 ≤ FI &lt; 0.20, mildly frail: 0.20 ≤ FI &lt; 0.30, and moderately/severely frail: FI ≥ 0.30) and LS7 into tertiles (T1[poor] = 0-7, T2[intermediate] = 8-9, T3[ideal] = 10-14). All-cause and CVD mortality data were analyzed up to 16 years. All regression models were stratified by sex.

RESULTS

The average FI was 0.09 (SD 0.10); 29.6% were at least very mildly frail, and the average LS7 was 7.9 (2.3). Mortality from all-causes and CVD were 8.5% (4228/35,207) and 6.1% (2917/35,207), respectively. The median length of follow-up was 8.1 years. The combined burden of frailty and poor cardiovascular health on mortality risk varied according to age in males (FI*age interaction p = 0.01; LS7*age interaction p &lt; 0.001) but not in females. In females, poor FI and LS7 combined to predict all-cause and CVD mortality in a dose-response manner. All-cause and CVD mortality risk was greater for older males (60 and 70 years old) who were at least mildly frail and had intermediate cardiovascular health or worse (hazard ratio [lower/higher confidence interval ranges] range: all-cause mortality = 2.02-5.30 [1.20-4.04, 3.15-6.94]; CVD-related mortality = 2.22-7.16 [1.03-4.46, 4.49-11.50]) but not for younger males (30, 40, and 50 years old).

CONCLUSIONS

The combined burden of frailty and LS7 on mortality is similar across all ages in females. In males, this burden is greater among older people. Adding frailty to assessments of overall cardiovascular health may identify more individuals at risk for mortality and better inform decisions to implement preventative or treatment approaches.

Association of Cardiovascular Health Score Trajectory With Incident Myocardial Infarction in Hypertensive Patients

BACKGROUND

The association between changes in cardiovascular health score (CHS) over time and myocardial infarction (MI) risk in hypertensive patients remains unclear.

METHOD

This was a prospective study comprising 17 374 hypertensive patients from the Kailuan study cohort who underwent 3 surveys and were identified to be free of MI, stroke, or cancer from 2006 to 2010. CHS consisted of 7 cardiovascular health metrics (plasma glucose, total cholesterol, blood pressure, smoking, body mass index, physical activity, salt intake), ranging from 0 (worst) to 13 (best) in the study. CHS trajectories were developed during 2006 to 2010 to predict the MI risk from 2010 to 2020. Additionally, the Cox proportional hazard model was established to calculate the hazard ratio and 95% CI of incident MI in different trajectory groups.

RESULT

This study identified the 5 CHS trajectories from 2006 to 2010: low-stable (n=1161; range, 4.7-4.5), moderate-decreasing (n=3928; decreased from 6.9 to 6.0), moderate-increasing (n=1014; increased from 5.6 to 7.8), high-stable I (n=7940; range, 8.1-8.2), and high-stable II (n=3331; range, 9.2-9.7). During the median follow-up of 10.04 years, 288 incident MI cases were identified. After adjusting for potential confounders, compared with low-stable group, the hazard ratio and 95% CI of MI were 0.24 (0.15-0.40) for high-stable II, 0.36 (0.24-0.54) for high-stable I, 0.46 (0.25-0.83) for moderate-increasing, and 0.61 (0.41-0.90) for moderate-decreasing, respectively.

CONCLUSIONS

In hypertensive patients, high-stable CHS or improvement in CHS is associated with a lower risk of incident MI, when compared with low-stable CHS trajectory over time.

The complex relationship between physical activity and diabetes: an overview

Diabetes mellitus (DM) is a widespread condition, representing a challenging disease to manage. Exercise is being increasingly recommended as part of the therapeutic regimen for DM but the management of different forms of physical activity is difficult for individuals with diabetes, trainers, and physicians. Regular exercise can improve health and well-being, helping individuals to achieve their target lipid profile, body composition, cardio-respiratory fitness, and glycemic goals. People with diabetes tend to be as inactive as the general population, with a large percentage of individuals not achieving the minimum amount of recommended physical activity levels. Indeed, several barriers to exercise exist for persons with diabetes, including sports eligibility, multi-modality management of diabetic athletes, and inadequate knowledge about adequate type and intensity of exercise. The aim of the present review is to provide the current understanding of mechanisms, recommendations, and beneficial effects of different modalities of exercise for the treatment of DM.

Prevalence and associated factors of physical inactivity among middle-aged and older adults in India: results of a national cross-sectional community survey

OBJECTIVE

This study aimed to determine the prevalence and associated factors of physical inactivity in middle-aged and older adults in India.

DESIGN

Population-based cross-sectional study.

SETTING

Nationally representative sample of general community-dwelling middle-aged and older adult population in India.

PARTICIPANTS

The sample included 72 262 adults (45 years and older, mean age 58.8 years, SD=11.8), from the longitudinal ageing study in India wave 1 in 2017-2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

Self-reported physical activity, along with physical measurements, health status and health behaviour, and sociodemographic covariates. Multivariable logistic regression calculated OR with 95% CI for physical inactivity.

RESULTS

Overall, 36.7% were physically inactive, 42.6% among men, and 32.4% among women (p<0.001). In the adjusted logistic regression analysis, among both men and women, older age (70 years and older), being Sikh, impaired vision and depressive symptoms were positively and cognitive functioning, current tobacco use and social participation were negatively associated with physical inactivity. In addition, among men, higher socioeconomic status, urban residence, functional disability and heart disease or stroke were positively associated with physical inactivity, and among women being married and higher education were negatively, and insomnia symptoms and poor or fair self-rated health status were positively associated with physical inactivity.

CONCLUSIONS

Almost 4 in 10 middle-aged and older adults in India had inadequate physical activity. Overall and gender specific risk factors for physical inactivity were identified. Interventions may operate at multiple levels and consider gender-related physical inactivity patterns.

Cardiovascular Disease Projections in the United States Based on the 2020 Census Estimates

BACKGROUND

Understanding trends in cardiovascular (CV) risk factors and CV disease according to age, sex, race, and ethnicity is important for policy planning and public health interventions.

OBJECTIVES

The goal of this study was to project the number of people with CV risk factors and disease and further explore sex, race, and ethnical disparities.

METHODS

The prevalence of CV risk factors (diabetes mellitus, hypertension, dyslipidemia, and obesity) and CV disease (ischemic heart disease, heart failure, myocardial infarction, and stroke) according to age, sex, race, and ethnicity was estimated by using logistic regression models based on 2013-2018 National Health and Nutrition Examination Survey data and further combining them with 2020 U.S. Census projection counts for years 2025-2060.

RESULTS

By the year 2060, compared with the year 2025, the number of people with diabetes mellitus will increase by 39.3% (39.2 million [M] to 54.6M), hypertension by 27.2% (127.8M to 162.5M), dyslipidemia by 27.5% (98.6M to 125.7M), and obesity by 18.3% (106.3M to 125.7M). Concurrently, projected prevalence will similarly increase compared with 2025 for ischemic heart disease by 31.1% (21.9M to 28.7M), heart failure by 33.0% (9.7M to 12.9M), myocardial infarction by 30.1% (12.3M to 16.0M), and stroke by 34.3% (10.8M to 14.5M). Among White individuals, the prevalence of CV risk factors and disease is projected to decrease, whereas significant increases are projected in racial and ethnic minorities.

CONCLUSIONS

Large future increases in CV risk factors and CV disease prevalence are projected, disproportionately affecting racial and ethnic minorities. Future health policies and public health efforts should take these results into account to provide quality, affordable, and accessible health care.

Life's Essential 8: Updating and Enhancing the American Heart Association's Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association

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.

Association of changes in cardiovascular health levels with incident cardiovascular events and mortality in patients with atrial fibrillation

BACKGROUND

Risk factor management is crucial in the management of atrial fibrillation (AF). We investigated the association of changes in cardiovascular health (CVH) levels after AF diagnosis with incident cardiovascular events and mortality.

METHODS

From the Korea National Health Insurance Service database, 76,628 patients newly diagnosed with AF (2005-2015) with information on health examinations before and after AF diagnosis were assessed. According to the change in the 12-point CVH score before and after AF diagnosis, patients were stratified into four groups: consistently low (score 0-7 to 0-7), high-to-low (8-12 to 0-7), low-to-high (0-7 to 8-12), and consistently high (8-12 to 8-12) CVH levels. Risks of cardiovascular events and death were analyzed using weighted Cox regression models with inverse probability of treatment weighting (IPTW) for balance across study groups.

RESULTS

The mean age of study participants was 58.3 years, 50,285 were men (63.1%), and the mean follow-up was 5.5 years. After IPTW, low-to-high (hazard ratio [95% confidence interval], 0.83 [0.76-0.92]) and consistently high (0.80 [0.74-0.87]) CVH levels were associated with a lower risk of ischemic stroke than consistently low CVH. Low-to-high (0.66 [0.52-0.84]) and consistently high (0.52 [0.42-0.64]) CVH levels were associated with a lower risk of acute myocardial infarction. Maintaining high CVH was associated with reduced risks of heart failure hospitalization (0.85 [0.75-0.95]) and all-cause death (0.82 [0.77-0.88]), respectively, compared with consistently low CVH.

CONCLUSIONS

Improving CVH levels and maintaining high CVH levels after AF diagnosis is associated with lower risks of subsequent cardiovascular events and mortality.

Life's Simple 7 at Midlife and Risk of Recurrent Cardiovascular Disease and Mortality after Stroke: The ARIC study

BACKGROUND

Stroke is a leading cause of morbidity and mortality among adults in the U.S. Ideal levels of the Life's Simple 7 (LS7) are associated with lower cardiovascular disease (CVD) and all-cause mortality. However, the association of LS7 with CVD, recurrent stroke, and all-cause mortality after incident stroke is unknown.

METHODS

We used data from the ARIC study, a cohort of 13,508 adults from four US communities, 45-64 years old at baseline (1987-1989). Cardiovascular hospitalizations and mortality were ascertained in follow-up through December 31st, 2017. We defined cardiovascular health (CVH) based on AHA definitions for LS7 (range 0-14) and categorized CVH into four levels: LS7 0-3, 4-6, 7-9, and ≥10 (ideal LS7), according to prior studies. Outcomes included incident stroke, CVD, recurrent stroke, all-cause mortality, and a composite outcome including all the above. Adjusted hazard ratios (95% CI) were estimated with Cox proportional hazards regression models.

RESULTS

Median (25%-75%) follow-up for incident stroke was 28 (18.6-29.2) years. Participants with incident stroke were 55.7 (SD 5.6) years-old at baseline, 53% were women and 35% Black. Individuals with LS7 score ≥10 had 65% lower risk (HR: 0.35; 95% CI: 0.29-0.41) of incident stroke than those with LS7 4-6 (reference group). Of 1,218 participants with incident stroke, 41.2% (n=502) had composite CVD and 68.3% (n=832) died during a median (25%-75%) follow-up of 4.0 (0.76-9.95) years. Adjusted HR (95% CI) for stroke survivors with LS7≥10 at baseline were 0.74 (0.58-0.94) for the composite outcome, 0.38(0.17-0.85) for myocardial infarction, 0.60 (0.40-0.90) for heart failure, 0.63 (0.48-0.84) for all-cause mortality, and 0.65 (0.39-1.08) for recurrent stroke.

CONCLUSIONS

Good and excellent midlife cardiovascular health are associated with lower risks of incident stroke and CVD after stroke. Clinicians should stress the importance of a healthy lifestyle for primary and secondary CVD prevention.

Forecast of myocardial infarction incidence, events and prevalence in England to 2035 using a microsimulation model with endogenous disease outcomes

Background

Models that forecast non-communicable disease rates are poorly designed to predict future changes in trend because they are based on exogenous measures of disease rates. We introduce microPRIME, which forecasts myocardial infarction (MI) incidence, events and prevalence in England to 2035. microPRIME can forecast changes in trend as all MI rates emerge from competing trends in risk factors and treatment.

Materials and methods

microPRIME is a microsimulation of MI events within a sample of 114,000 agents representative of England. We simulate 37 annual time points from 1998 to 2035, where agents can have an MI event, die from an MI, or die from an unrelated cause. The probability of each event is a function of age, sex, BMI, blood pressure, cholesterol, smoking, diabetes and previous MI. This function does not change over time. Instead population-level changes in MI rates are due to competing trends in risk factors and treatment. Uncertainty estimates are based on 450 model runs that use parameters calibrated against external measures of MI rates between 1999 and 2011.

Findings

Forecasted MI incidence rates fall for men and women of different age groups before plateauing in the mid 2020s. Age-standardised event rates show a similar pattern, with a non-significant upturn by 2035, larger for men than women. Prevalence in men decreases for the oldest age groups, with peaks of prevalence rates in 2019 for 85 and older at 25.8% (23.3–28.3). For women, prevalence rates are more stable. Prevalence in over 85s is estimated as 14.5% (12.6–16.5) in 2019, and then plateaus thereafter.

Conclusion

We may see an increase in event rates from MI in England for men before 2035 but increases for women are unlikely. Prevalence rates may fall in older men, and are likely to remain stable in women over the next decade and a half.

Association of ideal cardiovascular health with carotid intima-media thickness (cIMT) in a young adult population

Ideal cardiovascular health (CVH) is associated with a lower risk of developing cardiovascular diseases. This study aims to investigate the association of CVH metrics with carotid intima-media thickness (cIMT) as a marker of subclinical atherosclerosis in young adults. A cross-sectional study was performed on 1295 adults, average age of 29.7 ± 4.0 years, selected from the participants of the Tehran Lipid and Glucose Study. The participants were divided into three groups based on the overall CVH score: ideal, intermediate, and poor CVH. Multivariate-adjusted linear regression was used to determine the association of the CVH score with cIMT. Multivariate-adjusted odds ratios (ORs) were calculated for high cIMT (≥ 95% percentile). Also, the independent effects of each ideal CVH metric on cIMT were analyzed. The prevalence of ideal CVH was 6.4% in men and 12.4% in women, and mean cIMT was obtained 0.53 ± 0.09 mm in men and 0.57 ± 0.08 mm in women. A 1-point increase of the CVH score in men and women was associated with a cIMT decrease of 0.009 and 0.011 mm (men: Beta [SE] = − 0.009 [0.003]; women: − 0.011 [0.007], p < 0.001), rendering the ORs of 0.66 and 0.70 for having a high cIMT (≥ 95% percentile), respectively. Ideal blood pressure in both sexes and body mass index in women had significant inverse association with cIMT. There was an inverse graded association between the CVH score and cIMT among young adults, indicating that ideal CVH metrics were associated with better vascular health in this population.

National Cross-Sectional Data on Ideal Cardiovascular Health Among Adults in Mongolia in 2019

Background

The study aimed to estimate the prevalence, distribution, and correlates of ideal cardiovascular health (CVH) among individuals (20-69 years) in Mongolia.

Method

Cross-sectional data were analyzed from 4,516 individuals (20-69 years, mean age = 42.3 years) who participated in the Mongolia STEPS survey in 2019, who had complete measurement of CVH metrics and no history of cardiovascular disease. Ideal CVH measures included non-smoking, healthy diet, physical activity, fasting blood glucose <100 mg/dL, body mass index (<23 kg/m2), total cholesterol <200 mg/dL, and blood pressure <120/<80 mmHg).

Results

The prevalence of five to seven ideal CVH metrics was 27.7% in 2019. Most Mongolians had ideal total cholesterol (77.4%), ideal smoking (67.8%), ideal fasting glucose (73.8%) and ideal physical activity (66.0%), while a lower prevalence was found for ideal blood pressure (42.4%), ideal body mass index (31.4%), and ideal healthy diet (1.8%). The prevalence of poor smoking, poor fruit/vegetable intake, poor fasting glucose, poor blood pressure, and poor total cholesterol was higher in men than in women, while poor physical activity was higher in women than in men, and poor BMI did not differ by sex. In the adjusted logistic regression analysis, older age, male sex, and belonging to the Khalkh ethnic group were negatively associated, and a higher number of adult household members was positively associated with meeting the ideal 5-7 CVH metrics.

Conclusions

The proportion of meeting 5-7 ideal CVH metrics was moderate among adults in Mongolia. Primary and secondary prevention programmes should be strengthened to improve CVH in Mongolia, considering identified associated factors.

National trends in ideal cardiovascular health among adults in Bhutan from three cross-sectional surveys in 2007, 2014, and 2019

The study aimed to estimate the prevalence, distribution, and correlates of ideal cardiovascular health (CVH) among individuals (20–69 years) across three cross-sectional surveys in 2007, 2014 and 2019 in Bhutan. Cross-sectional data were analysed from 9712 individuals (20–69 years, mean age = 37.6 years) who participated in the 2007, 2014 or 2019 Bhutan STEPS surveys, had complete measurement of CVH metrics, and had no history of a cardiovascular disease in 2014 and 2019. Ideal CVH measures included non-smoking, healthy diet, physical activity, body mass index (< 23 kg/m²), blood pressure < 120/ < 80 mmHg, total cholesterol < 200 mg/dL, and fasting blood glucose < 100 mg/dL). The prevalence of five to seven ideal CVH metrics increased from 11.6% in 2007 to 37.9% in 2019. Trend analyses showed that ideal physical activity, ideal total cholesterol, ideal blood pressure, and ideal fasting glucose increased from 2007 to 2019, while ideal fruit and vegetable intake, ideal smoking, and ideal body mass index decreased from 2007 to 2019. Five to seven ideal CVH metrics, 0–7 ideal CVH metrics, and 0–14 poor, intermediate, and ideal CVH metrics increased from 2007 to 2019. In the adjusted logistic regression analysis, older age decreased the odds of having 5–7 ideal CVH metrics in all three study years. Male sex increased the odds, and employment decreased the odds of 5–7 ideal CVH metrics in 2007, and urban residence increased the odds of 5–7 ideal CVH metrics in 2014 and decreased the odds in 2019. The proportion of meeting 5–7 ideal CVH metrics increased in Bhutan. Primary and secondary prevention programmes must be strengthened to improve CVH in Bhutan, considering identified associated factors.

Cardiovascular health in pediatric heart transplant patients

BACKGROUND

Ideal "cardiovascular health" (CVH)-optimal diet, exercise, nonsmoking, BMI, BP, lipids, and glucose-is associated with healthy longevity in adults. Pediatric heart transplant (HT) patients may be at risk for suboptimal CVH.

METHODS

Single-center retrospective study of HT patients 2003-2014 who survived 1 year post-transplant. Five CVH metrics were collected at listing, 1, 3 and 5 years post-transplant (diet and exercise were unavailable). CVH was scored by summing individual metrics: ideal = 2, intermediate = 1, and poor = 0 points; total scores of 8-10 points were considered high (favorable). CVH was compared between HT patients and the US pediatric population (GP) utilizing NHANES 2007-2016. Logistic regression was performed to examine the association of CVH 1 year post-transplant with a composite adverse outcome (death, re-listing, coronary vasculopathy, or chronic kidney disease) 3 years post-transplant.

RESULTS

We included 110 HT patients (median age at HT: 6 years [range 0.1-21]) and 19,081 NHANES participants. CVH scores among HT patients were generally high at listing (75%), 1 (74%), 3 (87%) and 5 (76%) years post-transplant and similar to GP, but some metrics (e.g., glucose) were worse among HT patients. Among HT patients, CVH was poorer with older age and non-Caucasian race/ethnicity. Per 1-point higher CVH score, the demographic-adjusted OR for adverse outcomes was 0.95 (95% CI, 0.7-1.4).

CONCLUSIONS

HT patients had generally favorable CVH, but some metrics were unfavorable and CVH varied by age and race/ethnicity. No significant association was detected between CVH and adverse outcomes in this small sample, but study in a larger sample is warranted.

Influence of Gestational Hypertension on Cardiovascular Health Behaviors and Factors

Objective

A survey was conducted to analyze the epidemiological differences in ideal cardiovascular health (CVH) behaviors and factors after delivery in females with and without gestational hypertension (GH) and evaluate the influence of GH on cardiovascular health behaviors and factors.

Methods

The present study adopted a cross-sectional design. A total of 4620 female workers who gave birth between 1976 and 2012 and received the annual health examination (2012 to 2013) at hospitals belonging to the Kailuan Medical Group were recruited. These subjects were divided into the GH group and non-GH (NGH) group, depending on whether they were combined with GH or not at delivery. The epidemiological differences in CVH behaviors and factors were compared between the two groups.

Result

In both groups, the percentage of subjects achieving ideal smoking status was the highest, while the percentage of subjects achieving an ideal level of physical activity was the lowest among all behaviors and factors. Compared with the NGH group, the percentages of subjects achieving each of the seven ideal CVH metrics decreased in the GH group. The percentages of subjects achieving ideal body mass index (BMI), blood pressure, blood glucose level, and cholesterol level were significantly lower in the GH group than in the NGH group (P < 0.05). The percentage of subjects with an ideal level of physical activity was higher in the NGH group than in the GH group. After stratification by age, the percentages of patients achieving ideal BMI, blood pressure, and blood glucose decreased with age regardless of the history of GH (P < 0.05). In the younger age group, the percentage of subjects with GH achieving ideal body mass index was significantly lower than that of those without GH.

Conclusion

Compared with females without GH, those with GH had higher BMI, blood pressure, blood glucose level, and cholesterol level among the seven CVH metrics surveyed.

Diet- and Lifestyle-Based Prediction Models to Estimate Cancer Recurrence and Death in Patients With Stage III Colon Cancer (CALGB 89803/Alliance)

PURPOSE

Current tools in predicting survival outcomes for patients with colon cancer predominantly rely on clinical and pathologic characteristics, but increasing evidence suggests that diet and lifestyle habits are associated with patient outcomes and should be considered to enhance model accuracy.

METHODS

Using an adjuvant chemotherapy trial for stage III colon cancer (CALGB 89803), we developed prediction models of disease-free survival (DFS) and overall survival by additionally incorporating self-reported nine diet and lifestyle factors. Both models were assessed by multivariable Cox proportional hazards regression and externally validated using another trial for stage III colon cancer (CALGB/SWOG 80702), and visual nomograms of prediction models were constructed accordingly. We also proposed three hypothetical scenarios for patients with (1) good-risk, (2) average-risk, and (3) poor-risk clinical and pathologic features, and estimated their predictive survival by considering clinical and pathologic features with or without adding self-reported diet and lifestyle factors.

RESULTS

Among 1,024 patients (median age 60.0 years, 43.8% female), we observed 394 DFS events and 311 deaths after median follow-up of 7.3 years. Adding self-reported diet and lifestyle factors to clinical and pathologic characteristics meaningfully improved performance of prediction models (c-index from 0.64 [95% CI, 0.62 to 0.67] to 0.69 [95% CI, 0.67 to 0.72] for DFS, and from 0.67 [95% CI, 0.64 to 0.70] to 0.71 [95% CI, 0.69 to 0.75] for overall survival). External validation also indicated good performance of discrimination and calibration. Adding most self-reported favorable diet and lifestyle exposures to multivariate modeling improved 5-year DFS of all patients and by 6.3% for good-risk, 21.4% for average-risk, and 42.6% for poor-risk clinical and pathologic features.

CONCLUSION

Diet and lifestyle factors further inform current recurrence and survival prediction models for patients with stage III colon cancer.

Association between cardio-metabolic risks and depressive symptoms among US adults (NHANES 2013-2018)

OBJECTIVES

To elucidate the association between cardio-metabolic risk factors and depressive symptoms among US adults.

METHODS

Data on 9,477 adults ≥ age 18 from the US National Health and Nutrition Examination Survey (NHANES) 2013-2018 were used. Number of cardio-metabolic risk (CMR) factors, from 0 to 5, was based on BMI, blood pressure, fasting blood glucose, and lipid levels. Depressive symptoms by Patient Health Questionnaire (PHQ-9) scores were categorized "no to mild symptoms" (0-9) and "clinically-significant depressive (CSD) symptoms" (10-27). Logistic regression analysis tested associations between CMR factors and CSD symptoms, adjusted for age, gender, education, income, race/ethnicity and smoking status.

RESULTS

CSD symptoms were significantly associated with low HDL, abdominal obesity, and high triglycerides. Increased numbers of CMR factors were associated with increased odds of CSD symptoms, from 1.45 times for 1 CMR to 2.55 times for 5 CMRs. The cross-sectional nature of the present study has resulted in some limitations like the inability to determine the direction and causality of the effects between depression and CMR. The study data was subject to response bias and recall errors as the participants self-reported the use of medications.

CONCLUSIONS

In US adults, cardio-metabolic risk factors were associated with clinically-significant depressive symptoms. Public health and clinical programs should include screening for both health issues, intervention for modifiable risk factors, and support for social determinants of health.

Physical activity, health and well-being among a nationally representative population-based sample of middle-aged and older adults in India, 2017-2018

BACKGROUND

This study aimed to determine the association between physical activity (PA) and health and well-being in middle-aged and older community-dwelling adults in India.

METHODS

The cross-sectional sample consisted of 72,262 individuals (≥45 years) from the Longitudinal Ageing Study in India (LASI) Wave 1 in 2017-2018. Logistic regression, adjusted for relevant confounders, was used to predict associations between PA levels and 23 health indicators.

RESULTS

In all 23.8% of participants were inactive, 12.9% had low, 7.6% moderate, and 55.7% high PA. In the final adjusted logistic regression analyses, higher PA levels were associated with better mental health (less insomnia symptoms, less depressive symptoms, less loneliness, and better cognitive functioning), and better well-being (self-rated health status, life satisfaction, happiness, functional ability, and hand grip strength). Moreover, moderate and/or high PA were negatively associated with diabetes, heart disease, stroke, hypertension, chronic lung disease, vision impairment, cataract, chronic renal failure, and Alzheimer's disease/dementia. While in unadjusted analysis, moderate and/or high PA were protective against major depressive disorder and bone or joint diseases, this became non-significant in the adjusted model. PA was not significantly associated with abdominal obesity and cancer.

CONCLUSION

Overall, higher PA levels were positively associated with 10 of 11 mental health and well-being indicators as well as being protective against 9 of 12 chronic conditions.

Subclinical cardiovascular disease and utility of coronary artery calcium score

ASCVD are the leading causes of mortality and morbidity among Globe. Evaluation of patients' comprehensive and personalized risk provides risk management strategies and preventive interventions to achieve gain for patients. Framingham Risk Score (FRS) and Systemic Coronary Risk Evaluation Score (SCORE) are two well studied risk scoring models, however, can miss some (20-35%) of future cardiovascular events. To obtain more accurate risk assessment recalibrating risk models through utilizing novel risk markers have been studied in last 3 decades and both ESC and AHA recommends assessing Family History, hs-CRP, CACS, ABI, and CIMT. Subclinical Cardiovascular Disease (SCVD) has been conceptually developed for investigating gradually progressing asymptomatic development of atherosclerosis and among these novel risk markers it has been well established by literature that CACS having highest improvement in risk assessment. This review study mainly selectively discussing studies with CACS measurement. A CACS = 0 can down-stratify risk of patients otherwise treated or treatment eligible before test and can reduce unnecessary interventions and cost, whereas CACS ≥ 100 is equivalent to statin treatment threshold of ≥ 7.5% risk level otherwise statin ineligible before test. Since inflammation, insulin resistance, oxidative stress, dyslipidemia and ongoing endothelial damage due to hypertension could lead to CAC, ASCVD linked with comorbidities. Recent cohort studies have shown a CACS 100-300 as a sign of increased cancer risk. Physical activity, dietary factors, cigarette use, alcohol consumption, metabolic health, family history of CHD, aging, exposures of neighborhood environment and non-cardiovascular comorbidities can determine CACs changes.

Cardiovascular Health in Pediatric Rheumatologic Diseases

Cardiovascular disease risk is evident during childhood for patients with juvenile systemic lupus erythematosus, juvenile dermatomyositis, and juvenile idiopathic arthritis. The American Heart Association defines cardiovascular health as a positive health construct reflecting the sum of protective factors against cardiovascular disease. Disease-related factors such as chronic inflammation and endothelial dysfunction increase cardiovascular disease risk directly and through bidirectional relationships with poor cardiovascular health factors. Pharmacologic and nonpharmacologic interventions to improve cardiovascular health and long-term cardiovascular outcomes in children with rheumatic disease are needed.

Successful ageing among a national community-dwelling sample of older adults in India in 2017-2018

This study aimed to determine the prevalence and correlates of successful ageing in older community-dwelling adults in India. The cross-sectional sample included 21,343 individuals (≥ 65 years) from the Longitudinal Ageing Study in India (LASI) Wave 1 in 2017-2018. Successful ageing was assessed utilizing a multidimensional concept, including five components: (1) absence of major illness, (2) free of disability, (3) no major depressive disorder, (4) social engagement and (5) life satisfaction. Overall, 27.2% had successful ageing, including 83.3% had no major diseases, 51.0% free from disability, 91.8% had no major depressive disorder, 73.6% were socially engaged and 74.6% had high life satisfaction. In the adjusted logistic regression analysis, male sex (Adjusted Odds Ratio-AOR 1.40, 95% Confidence Interval-CI 1.21-1.26), married (AOR 1.48, 95% CI 1.22-1.79), having formal education (AOR 1.47, 95% CI 1.23-1.74), high subjective socioeconomic status (AOR 1.61, 95% CI 1.29-2.01), urban residence (AOR 1.42, 95% CI 1.19-1.70), Sikhs (AOR 1.76, 95% CI 1.38-2.24), high physical activity (AOR 1.65, 95% CI 1.38-1.97), and daily Yoga practice (AOR 1.34, 95% CI 1.11-1.61) increased the odds of successful ageing, while increasing age (AOR 0.96, 95% CI 0.94-0.79), poor childhood health (AOR: 0.47, 95% CI 0.29-0.75), and underweight (AOR 0.70, 95% CI 0.61-0.81) decreased the odds of successful ageing. Almost one in three older adults in India were successfully ageing. Factors associated with successful ageing included, male sex, married, having formal education, high subjective socioeconomic status, urban residence, Sikhs, physical activity, Yoga practice, younger age, good childhood health, and not having underweight.

Longitudinal Trajectories and Factors Associated With US County-Level Cardiovascular Mortality, 1980 to 2014

IMPORTANCE

Cardiovascular (CV) mortality has declined for more than 3 decades in the US. However, differences in declines among residents at a US county level are not well characterized.

OBJECTIVE

To identify unique county-level trajectories of CV mortality in the US during a 35-year study period and explore county-level factors that are associated with CV mortality trajectories.

DESIGN, SETTING, AND PARTICIPANTS

This longitudinal cross-sectional analysis of CV mortality trends used data from 3133 US counties from 1980 to 2014. County-level demographic, socioeconomic, environmental, and health-related risk factors were compiled. Data were analyzed from December 2019 to September 2021.

EXPOSURES

County-level characteristics, collected from 5 county-level data sets.

MAIN OUTCOMES AND MEASURES

Cardiovascular mortality data were obtained for 3133 US counties from 1980 to 2014 using age-standardized county-level mortality rates from the Global Burden of Disease study. The longitudinal K-means approach was used to identify 3 distinct clusters based on underlying mortality trajectory. Multinomial logistic regression models were constructed to evaluate associations between county characteristics and cluster membership.

RESULTS

Among 3133 US counties (median, 49.5% [IQR, 48.9%-50.5%] men; 30.7% [IQR, 27.1%-34.4%] older than 55 years; 9.9% [IQR, 4.5%-22.7%] racial minority group [individuals self-identifying as Black or African American, American Indian or Alaska Native, Asian, Native Hawaiian, Pacific Islander, other, or multiple races/ethnicities]), CV mortality declined by 45.5% overall and by 38.4% in high-mortality strata (694 counties), by 45.0% in intermediate-mortality strata (1382 counties), and by 48.3% in low-mortality strata (1057 counties). Counties with the highest mortality in 1980 continued to demonstrate the highest mortality in 2014. Trajectory groups were regionally distributed, with high-mortality trajectory counties focused in the South and in portions of Appalachia. Low- vs high-mortality groups varied significantly in demographic (racial minority group proportion, 7.6% [IQR, 4.1%-14.5%]) vs 23.9% [IQR, 6.5%-40.8%]) and socioeconomic characteristics such as high-school education (9.4% [IQR, 7.3%-12.6%] vs 20.1% [IQR, 16.1%-23.2%]), poverty rates (11.4% [IQR, 8.8%-14.6%] vs 20.6% [IQR, 17.1%-24.4%]), and violent crime rates (161.5 [IQR, 89.0-262.4] vs 272.8 [IQR, 155.3-431.3] per 100 000 population). In multinomial logistic regression, a model incorporating demographic, socioeconomic, environmental, and health characteristics accounted for 60% of the variance in the CV mortality trajectory (R2 = 0.60). Sociodemographic factors such as racial minority group proportion (odds ratio [OR], 1.70 [95% CI, 1.35-2.14]) and educational attainment (OR, 6.17 [95% CI, 4.55-8.36]) and health behaviors such as smoking (OR for high vs low, 2.04 [95% CI, 1.58-2.64]) and physical inactivity (OR, 3.74 [95% CI, 2.83-4.93]) were associated with the high-mortality trajectory.

CONCLUSIONS AND RELEVANCE

Cardiovascular mortality declined in all subgroups during the 35-year study period; however, disparities remained unchanged during that time. Disparate trajectories were associated with social and behavioral risks. Health policy efforts across multiple domains, including structural and public health targets, may be needed to reduce existing county-level cardiovascular mortality disparities.

Cardiovascular Health in a Single Community in Rural Haiti: A Cross-sectional Study

Introduction

There is a growing burden of cardiovascular disease in low- and middle-income countries and assessment of cardiovascular health (CVH) may identify populations at risk for poor CVH.

Methods

Between July 2014 and August 2014, we performed a household survey from a convenience sample among adult community members in rural northern Haiti. We used a modified World Health Organization STEPwise approach to chronic disease questionnaire to capture self-reported data on tobacco, diet, physical activity, and diabetes, and measured blood pressure and body mass index. We used an adapted American Heart Association definition and thresholds for determining ideal, intermediate, and poor cardiovascular health. We used linear and logistic regression to examine associations between socio-demographic characteristics with CVH score and ideal CVH.

Results

Among 540 participants (mean [SD] age = 40.3 [17.1] years, 67% women), there was a high prevalence of poor CVH (n=476, 88.1%) compared with intermediate (n=56, 10.4%) and ideal (n=41, 7.6%) CVH. Ideal metrics for blood pressure (47%) and diet (26%) were least often met, while body weight (84%), physical activity (83%), and smoking (90%) were most often met. Men were associated with better CVH score (0.31, [0.04–0.59]; P=0.03), and being a farmer was associated with ideal CVH (P=0.006).

Conclusion

In this community-based sample of a farming community in rural Haiti, very few adults had ideal CVH. Higher CVH score was associated with male sex, and farming as a primary occupation. Women and non-farmers may represent at-risk subgroups within this population. Blood pressure and diet may represent possible areas for improvement.

Epidemiology of Geographic Disparities of Myocardial Infarction Among Older Adults in the United States: Analysis of 2000-2017 Medicare Data

Background: There are substantial geographic disparities in the life expectancy (LE) across the U.S. with myocardial infarction (MI) contributing significantly to the differences between the states with highest (leading) and lowest (lagging) LE. This study aimed to systematically investigate the epidemiology of geographic disparities in MI among older adults.

Methods: Data on MI outcomes among adults aged 65+ were derived from the Center for Disease Control and Prevention-sponsored Wide-Ranging Online Data for Epidemiologic Research database and a 5% sample of Medicare Beneficiaries for 2000–2017. Death certificate-based mortality from MI as underlying/multiple cause of death (CBM-UCD/CBM-MCD), incidence-based mortality (IBM), incidence, prevalence, prevalence at age 65, and 1-, 3-, and 5-year survival, and remaining LE at age 65 were estimated and compared between the leading and lagging states. Cox model was used to investigate the effect of residence in the lagging states on MI incidence and survival.

Results: Between 2000 and 2017, MI mortality was higher in the lagging than in the leading states (per 100,000, CBM-UCD: 236.7–583.7 vs. 128.2–357.6, CBM-MCD: 322.7–707.7 vs. 182.4–437.7, IBM: 1330.5–1518.9 vs. 1003.3–1197.0). Compared to the leading states, lagging states had higher MI incidence (1.1–2.0% vs. 0.9–1.8%), prevalence (10.2–13.1% vs. 8.3–11.9%), pre-existing prevalence (2.5–5.1% vs. 1.4–3.6%), and lower survival (70.4 vs. 77.2% for 1-year, 63.2 vs. 67.2% for 3-year, and 52.1 vs. 58.7% for 5-year), and lower remaining LE at age 65 among MI patients (years, 8.8–10.9 vs. 9.9–12.8). Cox model results showed that the lagging states had greater risk of MI incidence [Adjusted hazards ratio, AHR (95% Confidence Interval, CI): 1.18 (1.16, 1.19)] and death after MI diagnosis [1.22 (1.21, 1.24)]. Study results also showed alarming declines in survival and remaining LE at age 65 among MI patients.

Conclusion: There are substantial geographic disparities in MI outcomes, with lagging states having higher MI mortality, incidence, and prevalence, lower survival and remaining LE at age 65. Disparities in MI mortality in a great extent could be due to between-the-state differences in MI incidence, prevalence at age 65 and survival. Observed declines in survival and remaining LE require an urgent analysis of contributing factors that must be addressed.