Indicators Of Cardiovascular Health Research Articles

Assessment of poor cardiovascular health metrics and related disparities among cancer patients in the United States: a nationwide analysis of over 1.5 million individuals

Abstract Background Cancer, a major health challenge and a leading cause of mortality in the United States, significantly impacts cardiovascular health (CVH). The American Heart Association (AHA) emphasizes several CVH metrics to improve health outcomes, yet disparities in CVH persist nationwide. The specific impact of these disparities on the CVH of individuals with cancer, however, has yet to be fully explored. Purpose This study aims to utilize a detailed and nationally representative dataset from the U.S. to assess the prevalence of poor CVH among adults with a cancer diagnosis, focusing on uncovering sociodemographic disparities. Methods We utilized self-reported data from the Behavioral Risk Factor Surveillance System (2011 to 2019). This system, a state-based telephone survey, gathering data on cancer diagnoses, CVH metrics, and sociodemographic characteristics. We measured CVH through a composite score (0-7) based on the AHA’s seven CVH indicators: hypertension, high cholesterol, smoking, body mass index, diabetes, physical activity, and fruits and vegetables consumption. Individuals scoring between 0 and 2 were defined as having poor CVH. Multivariable generalized linear models within a binomial framework was applied to estimate adjusted prevalence ratios (aPRs) for poor CVH among cancer patients. Results Of 1,575,187 U.S. adults (representing an estimated 154.5 million; 50.7% female, 10.9% non-Hispanic black), 7.8% reported a cancer diagnosis between 2011 and 2019. Adjusted* findings show that having cancer (vs without) associated with a 16% higher prevalence of poor CVH (aPR=1.16; 95% CI [1.12-1.19]). Age-specific analysis revealed increased prevalence of poor CVH in middle-aged (45-64; aPR=3.55) and elderly (≥65; aPR=3.58) cancer patients, indicating a 255% and 358% rise, respectively, with p_interaction <0.001. Female cancer patients experienced a 22% lower prevalence of poor CVH than males (aPR=0.78; p_interaction <0.001). Non-Hispanic black cancer patients faced a 42% higher prevalence of poor CVH than their non-Hispanic white counterparts (aPR=1.42; p_interaction=0.001). Higher-income and education levels associated with 52% and 53% reduced prevalence of poor CVH, respectively (p_interaction <0.001; Table). Conclusions Our research identifies a strong correlation between cancer and deteriorating CVH metrics across U.S. adults, with pronounced variations based on sociodemographic factors. Specifically, the prevalence of poor CVH is substantially higher among cancer patients who are middle-aged, elderly, or identify as non-Hispanic Black, compared to other groups. Conversely, female cancer patients and those with a higher socioeconomic status appear to have a reduced risk of poor CVH. These outcomes stress the critical need for targeted, equitable public health initiatives that address both the cardiovascular and broader health needs of cancer patients, particularly among those most vulnerable.Table1

Vascular adaptations following an eight-week sprint interval training intervention in healthy men.

Sprint interval training (SIT) has been shown to improve many indices of cardiovascular risk. The effect of SIT on emerging indicators of cardiovascular health, including arterial stiffness and carotid intima media thickness, remains unclear. Thus, the purpose of this study was to assess changes in augmentation index at 75 beats per minute (AIx@75), pulse wave velocity (cfPWV), and carotid intima media thickness (CIMT) at three time points of an 8-week SIT intervention. Eighteen sedentary men (age: 24.7±5.1 years, BMI: 26.7±5.8 kg/m2) participated in the study. Subjects trained 3 times a week for 8 weeks. Training consisted of 3-6 consecutive 30-second bouts of maximal intensity cycling, with 4.5 minutes of active recovery between bouts. Baseline, 4-week, and 8-week vascular assessments were performed. Training effects were analyzed using repeated measures ANOVA. Pearson correlations were used to determine the relationship between baseline values and the change scores (baseline to 8 weeks) of each vascular measure. AIx@75 (BL: -3.6±10.9%, 4W: -5.6±8.3%, 8W: -3.2±9.5%), cfPWV (BL: 5.6±1.0 m/s, 4W: 5.8±0.9 m/s, 8W: 5.6±0.7 m/s), and CIMT (BL: 0.51±0.08 mm, 4W: 0.52±0.08 mm, 8W: 0.51±0.08 mm) did not significantly change (all P>0.05). Baseline cfPWV and AIx@75 were negatively correlated to their change from baseline to 8 weeks (P<0.05). These findings demonstrate that 8 weeks of SIT is an insufficient stimulus to reduce cfPWV, AIx@75, or CIMT in a group of young, healthy men. Baseline arterial stiffness may modulate vascular adaptations to SIT.

From Life's Essential 8 to metabolic syndrome: insights from NHANES database and network pharmacology analysis of quercetin.

Metabolic syndrome (MetS), or syndrome X, is a collection of metabolic illnesses that affect the body's health, particularly insulin resistance and obesity. The prevalence of MetS is on the rise, particularly among younger individuals. Quercetin, a natural flavonoid found in many traditional Chinese medicines, can impact various pathways to disrupt the pathological advancement of MetS with few negative effects. The American Heart Association recently introduced a cardiovascular health assessment termed Life's Essential 8 (LE8), which might impact the treatment of MetS. Quercetin targets and their functions in MetS pathways were identified using a network pharmacology method and molecular docking techniques. The study examined quercetin's direct and indirect interactions with proteins linked to the pathogenic processes of MetS. Data were collected regarding the American Heart Association's LE8 cardiovascular health indicators, which include health behaviors (diet, physical activity, nicotine exposure, and sleep) and health factors (body mass index, non-high-density lipoprotein cholesterol, blood glucose, and blood pressure). The study assessed the connection between LE8 and the occurrence of MetS, taking into account dietary quercetin consumption as a variable of interest. The negative correlation between MetS and LE8 indicates that individuals with higher LE8 scores are less likely to develop MetS. Individuals in the fully adjusted highest group (LE8 ≥ 80) demonstrated a 79% lower likelihood of developing MetS than those in the lowest group (OR = 0.21; 95% CI, 0.17-0.26, p < 0.0001). Network pharmacology and molecular docking results show that quercetin may exert its therapeutic effects by modulating various biological response processes, including those related to xenobiotic stimuli, bacterial molecules, lipopolysaccharides, and oxidative stimuli. These processes involve key pathways associated with diabetic complications, such as the AGE-RAGE signaling pathway, pathways related to diabetic complications, and pathways involved in lipids and atherosclerosis. Therefore, quercetin may reduce cardiovascular risk, improve glucose-lipid metabolism, and alleviate insulin resistance and other biological processes by influencing multiple aspects of the lipid profile, blood glucose, and insulin resistance, ultimately impacting the links between LE8 score and MetS. This study discovered that an optimal LE8 score is a marker of adopting a lifestyle of wellness and is connected with a reduced likelihood of developing MetS. Quercetin acts on core targets such as IL6, BCL2, TP53, IL1B, MAPK1, and CCL2, and then plays a therapeutic role in regulating lipid metabolism, anti-inflammation, immunomodulation, autophagy, etc., through the pathways of diabetic complications, lipids, atherosclerosis, etc., and has the characteristics of multi-targets, multi-pathways, and multi-functions in regulating interventions for MetS.

The EAT-Lancet diet associated cardiovascular health parameters: evidence from a Brazilian study

BackgroundThe EAT-Lancet diet is a diet aimed at promoting population and planetary health from the perspective of sustainable diets in terms of environmental and health aspects. This study aimed to assess the association between adherence to the EAT-Lancet diet and cardiometabolic risk factors among adults and elderly individuals in a capital city in the northeastern region of Brazil.MethodsThis is an analytical cross-sectional observational study from a population-based sample conducted between 2019 and 2020, involving 398 non-institutionalized adults and elderly people, of both sexes from “Brazilian Usual Consumption Assessment” study (Brazuca-Natal). There was a 38% response rate due to the suspension of data collection due to the covid-19 pandemic, but According to the comparative analysis of socioeconomic and demographic variables between the surveyed and non-surveyed sectors, losses were found to be random (p = 0.135, Little’s MCAR test). Socioeconomic and lifestyle data, anthropometric measurements, and dietary consumption were collected. We used the Planetary Health Diet Index (PHDI) and the Cardiovascular Health Diet Index (CHDI) for cardiovascular health to assess adherence to the diet’s sustainability. The evaluated cardiometabolic parameters included fasting blood glucose, triglycerides, total cholesterol, HDL-C, LDL-C, and systolic and diastolic blood pressure measurements. We also assessed the presence of type 2 diabetes mellitus, arterial hypertension, and dyslipidemia. For the data analyses, sample weights and the effect of the study design were taken into account. Pearson’s chi-square test was used to evaluate the statistical significance of frequencies. Multiple linear regression models assessed the associations between PHDI and CHDI and its components and the cardiometabolic parameters.ResultsThe mean PHDI was 29.4 (95% CI 28.04:30.81), on a total score ranging from 0 to 150 points and the mean CHDI was 32.63 (95% CI 31.50:33.78), on a total score ranging from 0 to 110 points. PHDI showed a significant positive association with the final CHDI score and components of fruits, vegetables, and legumes, and a negative association with Ultra-processed Food (UPF) (p < 0.05). Notably, among the most consumed UPF, the following stand out: “packaged snacks, shoestring potatoes, and crackers” (16.94%), followed by margarine (14.14%). The PHDI exhibited a significant association with diabetes and dyslipidemia, as well as with systolic blood pressure, total cholesterol, and LDL-C.ConclusionsThe results suggest that adopting the EAT-Lancet diet is associated with the improvement of key cardiovascular health indicators.

Sex Differences in Indicators of Mental and Cardiovascular Health in Cannabis-Using Undergraduates

This study investigated sex differences in indicators of mental health (anxiety, depression) and cardiovascular health (e.g., physical activity levels, heart rate, VO2 max) in a sample of cannabis-using undergraduates. The sample included 209 participants (65% female) who completed two daily diaries for 14 days on their mobile devices; half of whom ( n = 100) also wore a Fitbit Charge 4. Females (vs. males) reported significantly more psychological distress at baseline; greater use of cannabis to cope with symptoms of both physical and mental ill-health; and more risks to cardiovascular health. Discriminant function analysis revealed that the variables that significantly distinguished females from males were: 1. Lower VO2 max percentile; 2. Fewer “moderate-to-very active” minutes of physical activity; 3. Higher depression scores plus poorer perceptions of mental health and physical health. Findings from this study suggest that female emerging adults who use cannabis regularly may be uniquely vulnerable to cannabis-related risks.

A Hybrid Approach to Modeling Heart Rate Response for Personalized Fitness Recommendations Using Wearable Data

Heart rate (HR) is a key indicator of fitness and cardiovascular health, and accurate HR monitoring and prediction are essential for enhancing personalized fitness experiences. The rise of wearable technology has significantly improved the ability to track personal health, including HR metrics. Accurate modeling of HR response during workouts is crucial for providing effective fitness recommendations, which help users achieve their goals while maintaining safe workout intensities. Although several HR monitoring and prediction models have been developed for personalized fitness recommendations, many remain impractical for real-world applications, and the domain of personalization in fitness applications still lacks sufficient research and innovation. This paper presents a hybrid approach to modeling HR response to workout intensity for personalized fitness recommendations. The proposed approach integrates a physiological model using Dynamic Bayesian Networks (DBNs) to capture heart rate dynamics during workout sessions. DBNs, combined with Long Short-Term Memory (LSTM) networks, model the evolution of HR over time based on workout intensity and individual fitness characteristics. The DBN parameters are dynamically derived from flexible neural networks that account for each user’s personalized health state, enabling the prediction of a full HR profile for each workout, while incorporating factors such as workout history and environmental factors. An adaptive feature selection module further enhances the model’s performance by focusing on relevant data and ensuring responsiveness to new data. We validated the proposed approach on the FitRec dataset, and experimental results show that our model can accurately predict HR responses to workout intensity in future sessions, achieving an average mean absolute error of 5.2 BPM per workout—significantly improving upon existing models. In addition to HR prediction, the model provides real-time fitness personalized recommendations based on individual’s observed workout intensity to an exercise. These findings demonstrate the model’s effectiveness in delivering precise, user personalized heart response to exercise with potential applications in fitness apps for personalized training and health monitoring.

Effects of Alpha-Tocopherol (Vitamin E) Treatment on Cardiovascular Biomarkers: A Comprehensive Review

This comprehensive review explores that subjoining of alpha-tocopherol (vitamin E) have improved effect on cardiovascular biomarkers in the human subjects, focusing on its potential role in addressing cardiovascular diseases (CVDs), which are major global health challenges exacerbated by risk factors such as dyslipidaemia and hypertension. Systematic analysis of various randomized controlled trials, evaluates alpha-tocopherol's effects on LDL cholesterol, HDL cholesterol, systolic blood pressure, triglycerides, total cholesterol levels etc. The synthesis of current literature consistently indicates that alpha-tocopherol treatment leads to significant reductions in systolic blood pressure compared to control groups. Furthermore, substantial evidence supports alpha-tocopherol's ability to increase HDL-cholesterol levels and decrease LDL-cholesterol concentrations, suggesting beneficial impacts on lipid profiles. The review also discusses alphatocopherol's influence on additional cardiovascular biomarkers such as Troponin I, B-type Natriuretic Peptide (BNP), Nterminal pro-BNP, Troponin T, C-reactive Protein (CRP), Lipoproteins, Creatine Kinase-MB (CK-MB), Myoglobin, and Fibrinogen, highlighting its potential broader effects on cardiovascular health indicators. Overall, this review underscores alpha-tocopherol's potential as an adjunctive therapy for managing cardiovascular risk factors, particularly hypertension and dyslipidemia. The findings suggest that alpha-tocopherol supplementation may induce favourable changes in cardiovascular biomarkers, offering insights into its therapeutic potential and calling for further investigation in clinical settings.

Associations between Life's Essential 8 and risks of all-cause and cardiovascular mortality in cancer survivors: A prospective cohort study from NHANES

BackgroundLife's Essential 8 (LE8), an indicator of cardiovascular health (CVH), can predict overall and cardiovascular mortality in the general population. Considering that cancer survivors have a higher risk of cardiovascular disease (CVD), our study aimed to investigate the association between LE8 and the prognosis of cancer survivors. MethodsA total of 2191 cancer survivors were included from the National Health and Nutrition Examination Survey (2005–2018). LE8 scores, derived from eight individual metrics, were categorized into three groups: low (0–49), moderate (50–79), and high (80–100). Cox regression analysis, nonlinear analysis, sensitivity analysis, and subgroup analysis were conducted to explore the association between LE8 scores and mortality risks, adjusting for potential confounders. ResultsDuring a median follow-up of six years, 479 deaths were recorded, including 118 CVD events and 156 cancer events. LE8 scores showed an inverse linear relationship with all-cause and cardiovascular mortality. A 10-point increase in LE8 scores was associated with a 25 % reduction in all-cause mortality (hazard ratio [HR], 0.75; 95 % CI, 0.66–0.85) and a 29 % reduction in cardiovascular mortality (HR, 0.71; 95 % CI, 0.57–0.89). Additionally, moderate CVH was linked to a lower risk of all-cause mortality (HR, 0.55; 95 % CI, 0.37–0.81), while high CVH was associated with an even lower risk (HR, 0.35; 95 % CI, 0.19–0.68). Similarly, moderate CVH demonstrated a decreased risk of cardiovascular mortality (HR, 0.31; 95 % CI, 0.15–0.63), with high CVH showing an even lower risk (HR, 0.23; 95 % CI, 0.09–0.58). However, LE8 scores was not associated with cancer-specific mortality. ConclusionsA higher LE8 score was independently associated with a decreased risk of both all-cause and cardiovascular mortality in cancer survivors, underscoring the significance of optimizing CVH during the survivorship phase of cancer care.

From Early Trauma to Cardiovascular Risk Among a Nationally Representative Sample of Young Adults.

This study aimed to investigate the connection between childhood abuse history and cardiovascular health indicators among a nationally representative sample of young adults aged 24-32. Using data from waves three and four of the National Longitudinal Study of Adolescent to Adult Health (n = 4, 164) multivariate logistic regression was employed to investigate childhood trauma (i.e., childhood physical abuse, sexual abuse, and neglect) as predictors for cardiovascular disease, hypertension, high cholesterol, diabetes, and obesity. Results showed that adults who reported history of sexual abuse were 4.3 times more likely to report diagnosis of cardiovascular disease and those who reported childhood physical abuse at wave three had 1.4 times the odds of reporting high cholesterol diagnosis. Although trauma history is often calculated as a composite, some forms of childhood abuse may have greater impacts on cardiovascular risk than others.

Association Between Diet, Physical Activity, Smoking, and Ultra-Processed Food and Cardiovascular Health, Depression, and Sleep Quality.

This study evaluated cardiovascular health, dietary habits, physical activity, depression, and sleep quality in young university adults. A cross-sectional design was used to assess anthropometric, biochemical, and cardiovascular health behaviors. The study included 158 university students aged 18 to 30 years (65% women, 35% men, average age: 20.3 ± 2.4 years), selected through non-probabilistic sampling. Measurements included BMI, waist circumference, blood pressure, glucose, triglycerides, HDL and LDL cholesterol, and visceral fat using bioelectrical impedance. Health behaviors were evaluated via questionnaires on physical activity, fruit and vegetable consumption, smoking, ultra-processed food consumption, and sleep quality using the Pittsburgh Sleep Quality Index. The cardiovascular health index was assessed with the "Life's Essential 8" questionnaire and depression was assessed with Beck Depression Inventory. Statistical analyses included ANOVA, Fisher's F test, Student's t-test, and simple linear regression, conducted using SPSS Statistics version 25.0 (IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp), with significance set at p<0.05. Women showed better adherence to healthy behaviors. Higher fruit and vegetable consumption and physical activity were associated with lower visceral fat. Higher visceral fat is correlated with increased blood pressure and decreased HDL cholesterol. Smoking and frequent ultra-processed food consumption were linked to higher depression scores, which were associated with poorer sleep quality. Healthy lifestyle habits are crucial for physical and mental health, providing a basis for public health interventions.

An accurate tidal peak localization method in radial arterial pulse signals based on hybrid neural networks

Background: cardiovascular diseases (CVDs) have become the leading causes of death worldwide. Arterial stiffness and elasticity are important indicators of cardiovascular health. Pulse wave analysis (PWA) is essential for analyzing arterial stiffness and elasticity, which are highly dependent on the tidal peak (P 2). P 2 is one of the four key physiological points, which also include percussion peaks (P 1), diastolic notches (P 3), and diastolic peaks (P 4). P 1, P 3, and P 4 are often local maxima or minima, facilitating their identification via the second derivatives method, a classic localization method for key physiological points. Classic methods such as the second derivative method, Empirical Mode Decomposition (EMD), and Wavelet Transform (WT), have been employed for the extraction and analysis of the P 2. Due to individual variation and arterial stiffness, locating the P 2 using classic methods is particularly challenging. Methods: we propose a hybrid neural network based on Residual Networks (ResNet) and bidirectional Long Short-Term Memory Networks (Bi-LSTM), successfully achieving high-precision localization of the P 2 in radial artery pulse signals. Meanwhile, we compared our method with the second derivative method, EMD, WT, Convolutional Neural Networks (CNN) and the hybrid model with ResNet and LSTM. Results: the results indicate that our proposed model exhibits significantly higher accuracy compared to other algorithms. Overall, MAEs and RMSEs for our proposed method are 62.60% and 58.84% on average less than those for other algorithms. The average R Adj 2 is 29.20% higher. The outcomes of the efficiency evaluation suggest that the hybrid model performs more balancedly without any significant shortcomings, which indicates that the Bi-LSTM structure upgrades the performances of LSTM. Significance: our hybrid model can provide the medical field with improved diagnostic tools and promote the development of clinical practice and research.

Association between composite dietary antioxidant index and cardiovascular health: Results from two observational studies

BackgroundThe effect of dietary antioxidant capacity on health has attracted increasing attention, but unequivocal evidence for its benefits on cardiovascular diseases is still lacking. ObjectivesOur aim was to assess the association between composite dietary antioxidant index (CDAI) and Life’s Essential 8 (LE8), an evaluation indicator of cardiovascular health (CVH), in two large cohorts. MethodsThe cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) 2005–2018 and Community Cohort Study on Specialized Nervous System Diseases (CCSNSD) 2018. The relationship between CDAI and CVH was studied by multinomial logistic regression, restricted cubic spline, subgroup and sensitivity analysis. ResultsAfter adjusting for all potential confounding factors, it suggested that higher CDAI was positively associated with higher CVH (NHANES: OR Q4 vs. Q1 = 0.19, 95 % CI: 0.14–0.25; CCSNSD: OR Q4 vs. Q1 = 0.03, 95 % CI: 0.03–0.04). And a nonlinear dose–response relationship between CDAI and CVH was observed in two large cohorts. The robustness of the results was further demonstrated by sensitivity analysis. Among them, Mendelian randomization analysis showed that higher Vitamin C and Vitamin E intakes were causally associated with a lower risk of CVD. Moreover, there was a stronger positive correlation between the CDAI and CVH among individuals with lower socioeconomic status in both cohorts. ConclusionOur findings demonstrated the potential benefit of dietary antioxidant intake in improving CVH. Besides, the relationship between CDAI and CVH may be influenced by income levels, highlighting the need for targeted interventions in populations with low income to increase CVH levels.

The Influence of Various Types of Physical Activity on Blood Pressure. A Literature Review

Blood pressure is a key indicator of cardiovascular health, playing a significant role in the diagnosis, prevention, and treatment of heart and vascular diseases. In recent years, interest in the influence of physical activity on blood pressure has increased among researchers and health-conscious individuals. Among the studies presented, researchers examined the effects of various types of physical activity on blood pressure in individuals with hypertension and the level of hypertension control, as well as other components affecting the overall health of patients, such as blood lipid levels, arterial pressure variability over 24 hours, and BMI. The conclusions of the presented studies seemed to be consistent regarding the positive impact of engaging in physical activity on blood pressure and thus the better well-being of patients.

Association between Life's simple 7 and post-stroke depression symptom from 2005-2016 NHANES survey: A cross-sectional study

BackgroundDepression symptoms are a common complication of stroke and heart disease and is a predictor of Post-stroke depression (PSD). However, the relationship between overall cardiovascular health indicators and PSD remains unclear. MethodsData were collected from stroke patients in the 2005–2016 National Health and Nutrition Examination Surveys (NHANES) survey. Depression was defined as a Patient Health Questionnaire-9 (PHQ-9) score ≥10. In addition, PSD was defined as the coexistence of stroke and depression. Life's Simple 7 (LS7) provides an assessment of cardiovascular health and consists of 7 items. The LS7 scores range from 0 to 14 and can also be categorized into poor (0–7), average (8–10), and ideal (11–14). Logistic regression models were used to investigate the relationship between LS7 and PSD. ResultsThe average age of participants was 64.2 years, with 45.1% and 34.3 % being male and non-Hispanic whites, respectively. After adjusting for age, sex, race, education, and income, the LS7 scores were found to be associated with reduced PSD odds (OR: 0.76, 95% CI: 0.68–0.85, P: <0.001), as well as the number of ideal LS7 metrics (OR: 0.69, 95% CI: 0.56–0.85, P: <0.001). Furthermore, non-poor LS7 was also associated with a lower risk of PSD compared to poor LS7 (OR: 0.48, 95% CI: 0.25–0.91, P: 0.01). This association was stable in stratification analyses. ConclusionCardiovascular health status assessed by LS7 was negatively associated with PSD. Future studies are required to verify these findings.

A biobehavioral observational study to understand the multilevel determinants of cardiovascular health in Black women: the BLOOM Study protocol

BackgroundThe racial/ethnic and gender disparities in cardiovascular disease (CVD) morbidity and mortality in the United States are evident. Across nearly every metric, non-Hispanic Black women have poorer overall cardiovascular health. Emerging evidence shows a disproportionately high burden of increased CVD risk factors in Black women of childbearing age, which has a far-reaching impact on both maternal and child outcomes, resulting in premature onset of CVD and further widens the racial disparities in CVD. There is growing recognition that the fundamental driver of persistent racial/ethnic disparities in CVD, as well as disparities in behavioral risk factors such as physical activity and sleep, is structural racism. Further, the lived personal experience of racial discrimination not only has a negative impact on health behaviors, but also links to various physiological pathways to CVD risks, such as internalized stress resulting in a pro-inflammatory state. Limited research, however, has examined the interaction between daily experience and health behaviors, which are influenced by upstream social determinants of health, and the downstream effect on biological/physiological indicators of cardiovascular health in non-pregnant Black women of childbearing age.Methods/DesignThe BLOOM Study is an observational study that combines real-time ambulatory assessments over a 10-day monitoring period with in-depth cross-sectional lab-based physiological and biological assessments. We will use a wrist-worn actigraphy device to capture 24-h movement behaviors and electronic ecological momentary assessment to capture perceived discrimination, microaggression, and stress. Blood pressure will be captured continuously through a wristband. Saliva samples will be self-collected to assess cortisol level as a biomarker of psychological stress. Lab assessments include a fasting venous blood sample, and assessment of various indices of peripheral and cerebral vascular function/health. Participants’ address or primary residence will be used to obtain neighborhood-level built environmental and social environmental characteristics. We plan to enroll 80 healthy Black women who are between 18 and 49 years old for this study.DiscussionResults from this study will inform the development of multilevel (i.e., individual, interpersonal, and social-environmental levels) lifestyle interventions tailored to Black women based on their lived experiences with the goal of reducing CVD risk.ClinicalTrials.gov IdentifierNCT06150989.

Exposure to structural racism-related state laws is associated with worse cardiovascular health among US adults, BRFSS 2011 and 2013.

The objective of this study was to determine whether exposure to structural racism-related state laws is associated with cardiovascular health among a racially and ethnically diverse sample of US adults. Data were from the Database of Structural Racism-Related State Laws and the Behavioral Risk Factor Surveillance System (BRFSS). The sample included 958,019 BRFSS 2011 and 2013 respondents aged 18+ from all 50 US states. The exposure was a summary index of 22 state laws related to the criminal legal system, economics and labor, education, healthcare, housing, immigration, and political participation. The outcome was the American Heart Association's Life's Simple 7 (LS7), a summary index of seven cardiovascular health indicators. Linear regression models included fixed effects for year and state to control for time trends and unmeasured time-invariant state-level contextual factors. In the full sample, a one standard deviation increase in the structural racism state legal index was associated with a 0.06-unit decrease in the LS7 (b=-0.06; 95% CI:-0.09, 0.02; p=0.001), controlling for individual- and state-level covariates. Contrary to expectations, stratified models revealed no statistically significant differences by race and ethnicity in the association between the structural racism state legal index and the LS7.

Wildland Firefighter Work History and Clinical Indicators of Cardiovascular Health.

To determine the association between the occupational history as a wildland firefighter (WFF) and clinical indicators of cardiovascular health. Among 2862 WFFs, we evaluated associations between the number of total days assigned on fire and high-risk categories of three clinically measured cardiovascular indicators. Almost one-third (32%) of WFFs had one or more clinical measures that would place them in high-risk categories for body mass index, blood pressure, and total cholesterol. WFF work history was associated with some of these measures: odds ratio (and 95% confidence interval) for highest versus lowest tertile of days on fire were 1.4 (1.2, 1.8) and 1.2 (1.0, 1.5) for high-risk categories of body mass index and cholesterol, respectively. More frequent screening and targeted health promotion programs for WFFs are warranted to increase awareness of cardiovascular risk and prevention strategies.

Investigating the relationship between early cardiovascular disease markers and loneliness in young adults

Loneliness is recognised as a risk factor for cardiovascular disease development. However, it is unclear whether loneliness itself or other closely related mental health symptoms, such as depression and social anxiety, are associated with the development of cardiovascular disease. In the present study, we examined the relationship between loneliness and several early cardiovascular disease markers in young adults, after controlling for depression and social anxiety. Sixty-six young adults (18–35 years old, Mage = 22.70; 75.8% females) completed psychological questionnaires and took part in several physiological tests assessing cardiovascular health (e.g., vascular function). Results revealed higher loneliness was significantly associated with shorter pulse transit time (β = − 0.70, p = 0.002; shorter pulse transit time is a subclinical marker for arterial stiffness). Additionally, results show that while loneliness and depression were both related to vascular dysfunction in young adults, the underlining physiological mechanisms through which they affect vascular function may be different. Specifically, higher loneliness was associated with increased arterial stiffness, whereas depression was associated with increased endothelial dysfunction (β = − 0.43, p = 0.04). Our findings indicate that presence of loneliness and depression in young adults may be accompanied by early indicators of poor cardiovascular health, such as arterial stiffness and endothelial dysfunction. Results from the study further support the link between loneliness and cardiovascular disease development.

Hypothyroidism and Heart Rate Variability: Implications for Cardiac Autonomic Regulation.

Thyroid hormones have a pivotal role in controlling metabolic processes, cardiovascular function, and autonomic nervous system activity. Hypothyroidism, a prevalent endocrine illness marked by inadequate production of thyroid hormone, has been linked to different cardiovascular abnormalities, including alterations in heart rate variability (HRV). The study included 110 patients with hypothyroid disorder. Participants underwent clinical assessments, including thyroid function tests and HRV analysis. HRV, a measure of the variation in time intervals between heartbeats, serves as an indicator of autonomic nervous system activity and cardiovascular health. The HRV values were acquired using continuous 24-h electrocardiogram (ECG) monitoring in individuals with hypothyroidism, as well as after a treatment period of 3 months. All patients exhibited cardiovascular symptoms like palpitations or fatigue but showed no discernible cardiac pathology or other conditions associated with cardiac disease. The findings of our study demonstrate associations between hypothyroidism and alterations in heart rate variability (HRV) parameters. These results illustrate the possible influence of thyroid dysfunction on the regulation of cardiac autonomic function.

Association between Life’s Essential 8 and cataract among US adults

Currently, a comprehensive assessment of the relationship between ideal cardiovascular health (CVH) indicators and cataract risk is lacking. Life’s Essential 8 (LE8) is the latest concept proposed by the American Heart Association to comprehensively reflect CVH status. LE8 includes four health behaviors (diet, physical activity, smoking, and sleep) and four health factors (blood lipid, blood sugar, blood pressure, and body mass index). This study tried to evaluate the association between LE8 and cataract using data from National Health and Nutrition Examination Survey (NHANES) 2005–2008, a continuous research program which aims to monitor and evaluate the health and nutrition status of the US population. A cross-sectional study of 2720 non-cataract participants and 602 cataract participants. All participants were assigned to the poor, intermediate, and ideal CVH status groups based on LE8 score. Weighted multiple logistic regression was used to investigate the correlation between the LE8 score and cataract, as well as the correlation between each of the eight subitems and cataract, with potential confounding variables being adjusted. Then, restricted cubic spline analysis was used to further explore whether there was a nonlinear relationship between LE8 score and cataract. The proportion of cataract participants was 14.1%, 18.2%, and 20.6% in the ideal, intermediate, and poor CVH groups, respectively (P < 0.05). LE8 score was inversely associated with cataract risk, with each 10-point increase in LE8 score associated with a 14% reduction in cataract risk [odds ratio (OR) = 0.86, 95% confidence interval (CI): 0.79–0.93, P < 0.01]. Among all the LE8 subitems, physical activity, sleep, and blood glucose were significantly associated with cataract risk (all P < 0.05). Better CVH, defined by a higher LE8 score, is associated with a lower cataract risk. Efforts to improve LE8 score (especially when it comes to physical activity, sleep, and blood glucose) may serve as a novel strategy to help reduce the risk of cataract.