Lower Cardiovascular Disease Risk Research Articles

Association of c.+677 C>T (rs1801133) and c.+1298 A>C (rs1801131) MTHFR genetic variants with cardiometabolic and disease risk in systemic lupus erythematosus patients: A cross-sectional study.

Systemic lupus erythematosus (SLE) patients present a high prevalence of cardiometabolic risk, associated with worse clinical manifestations and mortality. Folate, an essential micronutrient that participates in vital immune cellular functions, could positively affect the cardiometabolic and disease risk in SLE, through the methylenetetrahydrofolate reductase (MTHFR) enzyme, which participates in the folate metabolism, where single nucleotide variants (SNVs) have been described as a potential genetic risk factor for SLE. The aim of this study was to determine the association of the c.+677C>T (rs1801133) and c.+1298 A>C (rs1801131) MTHFR genetic variants with cardiometabolic risk and clinical disease variables in SLE patients. A case-control study was conducted on 394 unrelated Mexican-mestizo women: 199 with SLE according to the 1997 SLE-ACR criteria and 196 control subjects (CS). Folic acid and homocysteine levels were evaluated by immunoassays. Genotyping of MTHFR genetic variants was carried out by allelic discrimination. No significant differences were found for folic acid (p = .15) and homocysteine serum levels (p = .59) between groups. According to the CC c.+677 MTHFR genotype, this was associated with low cardiovascular disease (CVD) risk by the Castelli index (OR = 0.42; p = .03) in SLE patients. The TC (OR = 1.3; p = .03) and the TA (OR = 1.6; p < .01) haplotypes from c.+677C>T plus c.+1298 MTHFR were associated with SLE risk, while the CC MTHFR haplotype (OR = 0.5; p = .01) was found as a non-risk factor for the disease. In conclusion, the TC and the TA MTHFR haplotypes are associated with disease risk; meanwhile, the CC c.+677 MTHFR genotype confers lower cardiometabolic risk in Mexican-mestizo SLE patients.

Association of genetic variants related to combined lipid-lowering and antihypertensive therapies with risk of cardiovascular disease: 2 × 2 factorial Mendelian randomization analyses.

Lipid-lowering drugs and antihypertensive drugs are commonly combined for cardiovascular disease (CVD). However, the relationship of combined medications with CVD remains controversial. We aimed to explore the associations of genetically proxied medications of lipid-lowering and antihypertensive drugs, either alone or both, with risk of CVD, other clinical and safety outcomes. We divided 423,821 individuals in the UK Biobank into 4 groups via median genetic scores for targets of lipid-lowering drugs and antihypertensive drugs: lower low-density lipoprotein cholesterol (LDL-C) mediated by targets of statins or proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, lower systolic blood pressure (SBP) mediated by targets of β-blockers (BBs) or calcium channel blockers (CCBs), combined genetically lower LDL-C and SBP, and reference (genetically both higher LDL-C and SBP). Associations with risk of CVD and other clinical outcomes were explored among each group in factorial Mendelian randomization. Independent and additive effects were observed between genetically proxied medications of lipid-lowering and antihypertensive drugs with CVD (including coronary artery disease, stroke, and peripheral artery diseases) and other clinical outcomes (ischemic stroke, hemorrhagic stroke, heart failure, diabetes mellitus, chronic kidney disease, and dementia) (P > 0.05 for interaction in all outcomes). Take the effect of PCSK9 inhibitors and BBs on CVD for instance: compared with the reference, PCSK9 group had a 4% lower risk of CVD (odds ratio [OR], 0.96; 95%CI, 0.94-0.99), and a 3% lower risk was observed in BBs group (OR, 0.97; 95%CI, 0.94-0.99), while combined both were associated with a 6% additively lower risk (OR, 0.94; 95%CI, 0.92-0.97; P = 0.87 for interaction). Genetically proxied medications of combined lipid-lowering and antihypertensive drugs have an independent and additive effects on CVD, other clinical and safety outcomes, with implications for CVD clinical practice, subsequent trials as well as drug development of polypills.

Systolic blood pressure and risk of cardiovascular disease in normotensive diabetic adults: a prospective cohort study.

Currently, the special blood pressure (BP) target for normotensive diabetic patients has not been recommended. We investigated the optimal systolic blood pressure (SBP) for lower cardiovascular disease (CVD) risk in normotensive diabetic patients. In this 12-year follow-up study using the participants of the Kailuan Study, we mainly compared which SBP, 90-119 mmHg or 120-129 mmHg, had a lower risk of occurrence of CVD (stroke and myocardial infarction) in the 3072 normotensive diabetic participants and 21,532 normotensive and non-diabetic participants, respectively. The SBP was expressed as a mean time-weighted cumulative (MTWC) SBP, calculated from the multiple measurements of SBP during the follow-up. Multivariate competing risk regression analyses were used for the analysis. We found that in normotensive diabetic participants, MTWC SBP of 120-129 mmHg was associated with a lower risk of CVD (HR = 0.69 [0.50-0.95]), myocardial infarction (HR = 0.48 [0.24-0.96]), and trending towards lower risk of stroke (HR = 0.80 [0.55-1.16]), compared to MTWC SBP of 90-119 mmHg. Sensitivity analyses confirmed the relationship between low SBP and increased CVD risk. Whereas, in the normotensive and non-diabetic participants, MTWC SBP of 90-119 mmHg vs 120-129 mmHg did not exhibit any difference in the risk of CVD occurrence (HR = 0.99 [0.83-1.18]). The higher level of SBP in normotensive diabetic patients is especially associated with a lower risk of CVD occurrence.

Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank.

Step count is an intuitive measure of physical activity frequently quantified in health-related studies; however, accurate step counting is difficult in the free-living environment, with error routinely above 20% in wrist-worn devices against camera-annotated ground truth. This study aims to describe the development and validation of step count derived from a wrist-worn accelerometer and assess its association with cardiovascular and all-cause mortality in a large prospective cohort. We developed and externally validated a self-supervised machine learning step detection model, trained on an open-source and step-annotated free-living dataset. 39 individuals will free-living ground-truth annotated step counts were used for model development. An open-source dataset with 30 individuals was used for external validation. Epidemiological analysis was performed using 75,263 UK Biobank participants without prevalent cardiovascular disease (CVD) or cancer. Cox regression was used to test the association of daily step count with fatal CVD and all-cause mortality after adjustment for potential confounders. The algorithm substantially outperformed reference models (free-living mean absolute percent error of 12.5%, versus 65-231%). Our data indicate an inverse dose-response association, where taking 6,430-8,277 daily steps was associated with 37% [25-48%] and 28% [20-35%] lower risk of fatal CVD and all-cause mortality up to seven years later, compared to those taking fewer steps each day. We have developed an open and transparent method that markedly improves the measurement of steps in large-scale wrist-worn accelerometer datasets. The application of this method demonstrated expected associations with CVD and all-cause mortality, indicating excellent face validity. This reinforces public health messaging for increasing physical activity and can help lay the groundwork for the inclusion of target step counts in future public health guidelines.

The association between energy‐adjusted dietary inflammatory index and 10‐year cardiovascular risk: Fasa adult cohort study

AbstractA healthy diet is dominant in cardiovascular disease (CVD) prevention. Inflammation is pivotal for CVD development. This study aimed to evaluate the association between the pro‐inflammatory diet and the CVD risk. This cross‐sectional study involved 10,138 Fasa adult cohort study participants. After excluding participants with missing data, the Energy‐Adjusted Dietary Inflammatory Index (E‐DII) was calculated to assess the inflammatory potential of diet using the recorded Food Frequency Questionnaire. Framingham risk score (FRS) was used to predict the 10‐year risk of CVD. The association between E‐DII and high risk for CVD was investigated using multinominal regression. After exclusion, the mean age of studied individuals (n = 10,030) was 48.6 ± 9.6 years, including 4522 men. Most participants were low risk (FRS &lt;10%) for CVD (87.6%), while 2.7% of them were high risk (FRS ≥20%). The median FRS was 2.80 (1.70, 6.30). The E‐DII ranged from −4.22 to 4.49 (mean E‐DII = 0.880 ± 1.127). E‐DII was significantly associated with FRS. This result persisted after adjusting for confounding factors and in both genders. This study revealed that the pro‐inflammatory diet significantly increases the CVD risk. Consequently, reducing the inflammatory potential of diet should be considered an effective dietary intervention in CVD prevention.

Five-Year Cumulative Cardiovascular Health and Clinical Events in Patients With Chronic Kidney Disease: The CRIC Study.

Higher cardiovascular health (CVH) score is associated with lower risks of cardiovascular disease (CVD) and mortality in the general population. However, it is unclear whether cumulative CVH is associated with CVD, end-stage kidney disease (ESKD), and death in patients with chronic kidney disease. Among individuals from the prospective CRIC (Chronic Renal Insufficiency Cohort) Study, we used the percentage of the maximum possible CVH score attained from baseline to the year 5 visit to calculate cumulative CVH score. Multivariable-adjusted Cox proportional hazards regression was used to investigate the associations of cumulative CVH with risks of adjudicated CVD (myocardial infarction, stroke, and heart failure), ESKD, and all-cause mortality. A total of 3939 participants (mean age, 57.7 years; 54.9% men) were included. The mean (SD) cumulative CVH score attained during 5 years was 55.5% (12.3%). Over a subsequent median 10.2-year follow-up, 597 participants developed CVD, 656 had ESKD, and 1324 died. A higher cumulative CVH score was significantly associated with lower risks of CVD, ESKD, and mortality, independent of the CVH score at year 5. Multivariable-adjusted hazard ratios and 95% CIs per 10% higher cumulative CVH score during 5 years were 0.81 (0.69-0.95) for CVD, 0.82 (0.70-0.97) for ESKD, and 0.80 (0.72-0.89) for mortality. Among patients with chronic kidney disease stages 2 to 4, a better CVH status maintained throughout 5 years is associated with lower risks of CVD, ESKD, and all-cause mortality. The findings support the need for interventions to maintain ideal CVH status for prevention of adverse outcomes in the population with chronic kidney disease.

Cardiovascular disease risk exacerbates brain aging among Hispanic/Latino adults in the SOL-INCA-MRI Study.

Cardiovascular disease (CVD) risk factors are highly prevalent among Hispanic/Latino adults, while the prevalence of MRI infarcts is not well-documented. We, therefore, sought to examine the relationships between CVD risk factors and infarcts with brain structure among Hispanic/Latino individuals. Participants included 1,886 Hispanic/Latino adults (50-85 years) who underwent magnetic resonance imaging (MRI) as part of the Study of Latinos-Investigation of Neurocognitive Aging-MRI (SOL-INCA-MRI) study. CVD risk was measured approximately 10.5 years before MRI using the Framingham cardiovascular risk score, a measure of 10-year CVD risk (low (<10%), medium (10- < 20%), and high (≥20%)). MR infarcts were determined as present or absent. Outcomes included total brain, cerebral and lobar cortical gray matter, hippocampal, lateral ventricle, and total white matter hyperintensity (WMH) volumes. Linear regression models tested associations between CVD risk and infarct with MRI outcomes and for modifications by age and sex. Sixty percent of participants were at medium or high CVD risk. Medium and high CVD risk were associated with lower total brain and frontal gray matter and higher WMH volumes compared to those with low CVD risk. High CVD risk was additionally associated with lower total cortical gray matter and parietal volumes and larger lateral ventricle volumes. Men tended to have greater CVDRF-related differences in total brain volumes than women. The association of CVD risk factors on total brain volumes increased with age, equal to an approximate 7-year increase in total brain aging among the high-CVD-risk group compared to the low-risk group. The presence of infarct(s) was associated with lower total brain volumes, which was equal to an approximate 5-year increase in brain aging compared to individuals without infarcts. Infarcts were also associated with smaller total cortical gray matter, frontal and parietal volumes, and larger lateral ventricle and WMH volumes. The high prevalence of CVD risk among Hispanic/Latino adults may be associated with accelerated brain aging.

Abstract PO3-27-05: Racioethnic and Ancestral Differences in Risk of Cardiometabolic Conditions and Cardiovascular Disease in Women Treated for Breast Cancer: the Pathways Heart Study

Abstract Background: Despite the established literature of racioethnic disparities in cardiovascular disease (CVD) in the general population, few studies have examined such differences in women after BC treatment, who are at higher risk due to cardiotoxic cancer treatment. Moreover, few prior studies have considered genetic similarity among the participants in the analyses, which can be objectively inferred to delineate the ancestral background of an individual. Methods: The Pathways Heart Study was established to investigate the incidence of cardiometabolic risk factors and CVD events in women with a history of BC at Kaiser Permanente Northern California (KPNC). The main study endpoints for this analysis were cardiometabolic risk factors (hypertension, diabetes, and dyslipidemia) and CVD events, identified by ICD and CPT codes from EHR. Prevalent conditions were identified within 3 years prior to the date of BC diagnosis, and incident conditions were from the date of BC diagnosis to December 31, 2021. Ethnicity was self-reported and classified as non-Hispanic White (NHW), non-Hispanic Black (NHB), Asian, Hispanic, other, or unknown. Global genetic ancestry was estimated to capture the proportion of continental ancestries genetically similar to the reference populations in Africa, Americas, Asia, and Europe from the 1000 Genome Project and Human Genome Diversity Project (HGDP), which, with the current lack of universally accepted labeling, are herein referred to as African, Native American, Asian, and European ancestry, respectively. Multivariable logistic and Cox proportional hazards regression models with all-cause mortality considered as competing risk were used to analyze the associations of race and ethnicity and genetic similarity with prevalent and incident cardiometabolic risk factors and CVD events. Results: Of the 4,071 women with BC in this analysis, 2,713 (66.6%) self-reported as NHW, 305 (7.5%) as NHB, 512 (12.6) as Asian, 447 (11.0%) as Hispanic, and 94 (2.3%) as other or unknown. NHB, Asian, and Hispanic women were more like to have prevalent diabetes than NHW women, the pattern of which persisted after BC diagnosis. Adjusted OR (95% CI) of risk of incident diabetes was 1.74 (1.21-2.49) for NHB, 3.63 (2.59-5.08) for Asian, and 2.19 (1.58-3.04) for Hispanic women, as compared to NHW. Analysis of genetic similarity revealed results consistent with self-reported race and ethnicity (sHR [95% CI] per 25% increment of African ancestry 1.19 [1.07-1.34], Asian ancestry 1.57 [1.44-1.72], and Native American ancestry 1.60 [1.29-2.00]), in comparison to European ancestry. For CVD risk, NHB women were more like to develop any prevalent and incident CVD than NHW women, particularly for ischemic heart disease (incident risk sHR=1.80 [1.10-2.94]). Genetic similarity analyses also showed higher risk of ischemic heart disease associated with African ancestry (incident risk per 25% increment, sHR=1.23 [1.06-1.43]). In contrast, Hispanic women were at lower risk of any incident CVD, serious CVD, arrhythmia, heart failure or cardiomyopathy, and ischemic heart disease. Similarly, lower risk of these CVD conditions was associated with Native American ancestry. Conclusions: Compared with women who self-reported as NHW, those self-reported as NHB, Asian, and Hispanic were at higher risk of diabetes prior to BC diagnosis and the elevated risk persisted after BC diagnosis. Moreover, Black women had higher risk of prevalent and incident CVD, whereas Hispanic women had lower risk of CVD, the latter of which might be related to the admixture of Native American ancestry. To our knowledge, this is the largest multi-ethnic study of disparities in CVD health in women post BC treatment, demonstrating corroborating findings between self-reported race and ethnicity and genetic similarity. The results highlight disparities in cardiometabolic risk factors and CVD among BC survivors that may warrant more research and clinical attentions. Citation Format: Song Yao, Haiyang Sheng, Peter Fiorica, Richard Cheng, Lucas Mendicino, Angela Omilian, Qianqian Zhu, Janise Roh, Cecile Laurant, Valerie Lee, Isaac Ergas, Carlos Iribarren, Jamal Rana, Mai Nguyen-Huynh, Eileen Rillamas-Sun, Dawn Hershman, Christine Ambrosone, Lawrence Kushi, Heather Greenlee, Marilyn Kwan. Racioethnic and Ancestral Differences in Risk of Cardiometabolic Conditions and Cardiovascular Disease in Women Treated for Breast Cancer: the Pathways Heart Study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-27-05.

Different cardiovascular risks associated with elevated creatinine-based eGFR and cystatin C-based eGFR

To compare the association of elevated estimated glomerular filtration rate (eGFR) based on creatinine (eGFRcr) and cystatin C (eGFRcys) with the risk of cardiovascular diseases (CVD) and chronic kidney diseases (CKD). 372,060 participants free of CVD and CKD in the UK Biobank were included. Participants were categorized into low, normal and high eGFR groups according to the age- and sex-specific 5th and 95th percentiles of eGFR. The primary outcome was incident CVD, defined as a combination of ischemic heart disease, stroke, heart failure, and atrial fibrillation. Thresholds for high eGFR varied with age and sex, ranging from 96.5 to 116.0 mL/min/1.73 m2 and 100.3 to 120.1 mL/min/1.73 m2 for eGFRcr and eGFRcys, respectively. During a median follow-up of 12.4 years, 39,855 (10.7%) participants developed CVD. Compared with normal eGFR levels, high eGFRcr levels were associated with a higher risk of CVD (HR, 1.19; 95% CI: 1.14–1.25), while high eGFRcys levels were associated with a lower risk of CVD (HR, 0.90; 95% CI: 0.85–0.95). Compared to normal eGFR levels, both high eGFRcr and high eGFRcys levels were related to a lower risk of CKD. Elevated eGFRcr levels were associated with a higher risk of CVD, and elevated eGFRcys levels were associated with a lower risk of CVD.

Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data

BackgroundMachine learning (ML) classifiers are increasingly used for predicting cardiovascular disease (CVD) and related risk factors using omics data, although these outcomes often exhibit categorical nature and class imbalances. However, little is known about which ML classifier, omics data, or upstream dimension reduction strategy has the strongest influence on prediction quality in such settings. Our study aimed to illustrate and compare different machine learning strategies to predict CVD risk factors under different scenarios.MethodsWe compared the use of six ML classifiers in predicting CVD risk factors using blood-derived metabolomics, epigenetics and transcriptomics data. Upstream omic dimension reduction was performed using either unsupervised or semi-supervised autoencoders, whose downstream ML classifier performance we compared. CVD risk factors included systolic and diastolic blood pressure measurements and ultrasound-based biomarkers of left ventricular diastolic dysfunction (LVDD; E/e' ratio, E/A ratio, LAVI) collected from 1,249 Finnish participants, of which 80% were used for model fitting. We predicted individuals with low, high or average levels of CVD risk factors, the latter class being the most common. We constructed multi-omic predictions using a meta-learner that weighted single-omic predictions. Model performance comparisons were based on the F1 score. Finally, we investigated whether learned omic representations from pre-trained semi-supervised autoencoders could improve outcome prediction in an external cohort using transfer learning.ResultsDepending on the ML classifier or omic used, the quality of single-omic predictions varied. Multi-omics predictions outperformed single-omics predictions in most cases, particularly in the prediction of individuals with high or low CVD risk factor levels. Semi-supervised autoencoders improved downstream predictions compared to the use of unsupervised autoencoders. In addition, median gains in Area Under the Curve by transfer learning compared to modelling from scratch ranged from 0.09 to 0.14 and 0.07 to 0.11 units for transcriptomic and metabolomic data, respectively.ConclusionsBy illustrating the use of different machine learning strategies in different scenarios, our study provides a platform for researchers to evaluate how the choice of omics, ML classifiers, and dimension reduction can influence the quality of CVD risk factor predictions.

The association of diet quality and physical activity with cardiovascular disease and mortality in 85,545 older Australians: A longitudinal study

BackgroundA quality diet and an active lifestyle are both important cornerstones of cardiovascular disease (CVD) prevention. However, despite their interlinked effects on metabolic health, the 2 behaviors are rarely considered jointly, particularly within the context of CVD prevention. We examined the independent, interactive, and joint associations of diet and physical activity with CVD hospitalization, CVD mortality, and all-cause mortality. MethodsCVD-free Australian participants aged 45–74 years (n = 85,545) reported physical activity, diet, and sociodemographic and lifestyle characteristics at baseline (2006–2009) and follow-up (2012–2015), and data were linked to hospitalization and death registries (03/31/2019 for CVD hospitalization and all-cause mortality and 12/08/2017 for CVD mortality). Diet quality was categorized as low, medium, and high based on meeting dietary recommendations. Physical activity was operationalized as (a) total moderate-to-vigorous physical activity (MVPA) as per guidelines, and (b) the composition of MVPA as the ratio of vigorous-intensity physical activity (VPA) to total MVPA. We used a left-truncated cause-specific Cox proportional hazards model using time-varying covariates. ResultsDuring a median of 10.7 years of follow-up, 6581 participants were admitted to the hospital for CVD and 6586 died from all causes (879 from CVD during 9.3 years). A high-quality diet was associated with a 17% lower risk of all-cause mortality than a low-quality diet, and the highest MVPA category (compared with the lowest) was associated with a 44% and 48% lower risk of CVD and all-cause mortality, respectively. Multiplicative interactions between diet and physical activity were non-significant. For all outcomes, the lowest risk combinations involved a high-quality diet and the highest MVPA categories. Accounting for total MVPA, some VPA was associated with further risk reduction of CVD hospitalization and all-cause mortality. ConclusionFor CVD prevention and longevity, one should adhere to both a healthy diet and an active lifestyle and incorporate some VPA when possible.

Premorbid physical activity and prognosis after incident myocardial infarction: the Atherosclerosis Risk in Communities Study

High to moderate levels of physical activity (PA) are associated with low risk of incident cardiovascular disease. However, it is unclear whether the benefits of PA in midlife extend to cardiovascular health following myocardial infarction (MI) in later life. Among 1,111 ARIC participants with incident MI during ARIC follow-up (mean age 73 [SD 9] years at MI, 54% men, 21% Black), PA on average 11.9 (SD 6.9) years prior to incident MI (premorbid PA) was evaluated as the average score of PA between visit 1 (1987-89) and visit 3 (1993-95) using a modified Baecke questionnaire. Total and domain-specific PA (sport, non-sport leisure, and work PA) was analyzed for associations with composite and individual outcomes of mortality, recurrent MI, and stroke after index MI using multivariable Cox models. During a median follow-up of 4.6 (IQI 1.0-10.5) years after incident MI, 823 participants (74%) developed a composite outcome. The 10-year cumulative incidence of the composite outcome was lower in the highest, as compared to the lowest tertile of premorbid total PA (56% vs. 70%, respectively). This association remained statistically significant even after adjusting for potential confounders (adjusted hazard ratio [aHR] 0.80 [0.67-0.96] for the highest vs. lowest tertile). For individual outcomes, high premorbid total PA was associated with a low risk of recurrent MI (corresponding aHR 0.64 [0.44, 0.93]). When domain-specific PA was analyzed, similar results were seen for sport and work PA. The association was strongest in the first year following MI (e.g., aHR of composite outcome 0.66 [95% CI 0.47, 0.91] for the highest vs. lowest tertile of total PA). Premorbid PA was associated positively with post-MI cardiovascular health. Our results demonstrate the additional prognostic advantages of PA beyond reducing the risk of incident MI.

Cardiovascular Health and Colorectal Cancer Screening in Black Men: A Cross-Sectional Analysis.

African American/Black (henceforth Black) men face disproportionate risks of morbidity and mortality from both cardiovascular disease (CVD) and colorectal cancer (CRC). The American Heart Association's Life's Simple 7 (LS7) tool was designed to examine predictors of CVD with included behaviors also linked to CRC risk (i.e., smoking status, weight, diet, and physical activity). However, no studies have combined LS7 assessment alongside CRC screening history, which serves as a proxy for assessing CRC risk, in Black men. In this study, Black men aged 45-75 participating in annual community wellness events were screened for 6 of 7 LS7 measures (excluding diet, LS6) and self-reported CRC screening. Analyses conducted using R 4.0.5. revealed that Black men (N = 680), with an average age of 57.3 years (SD = 7.5), reported poor (39.7%), intermediate (34.6%), or ideal (25.7%) LS6 scores with higher scores corresponding to lower risk for CVD. However, for every 1-point increase in LS6 scores (0-6), there was a 26% lower odds of reported CRC screening (p = .001). In the fully adjusted model, men with 4+ ideal LS6 behaviors had a 60% lower odds of self-reported CRC screening compared to those with two ideal LS6 behaviors (p < .001). These findings underscore the need for culturally relevant interventions for Black men across all levels of cardiovascular health (CVH) to increase CRC screening uptake.

Plant-based dietary patterns and mortality from all causes, cardiovascular disease, and cancer: The Multiethnic Cohort Study

Background and aimsPlant-based dietary patterns have been associated with lower risk of cardiovascular disease (CVD), some cancers, and related mortality in U.S. populations. However, the quality of plant foods has rarely been considered in the association between plant-based diets and mortality, especially in a population with various racial and ethnic backgrounds. We investigated whether the adherence to plant-based dietary patterns and the healthiness of plant foods are associated with mortality from all causes, CVD, and cancer and evaluated how the association varies by race and ethnicity MethodsA total of 144,729 African American, Japanese American, Latino, Native Hawaiian, and White men and women who participated in the Multiethnic Cohort Study (1993-2019) were included. Cox models were used to estimate HR and 95% CI of mortality from all causes, CVD, and cancer across quintiles of three plant-based diet scores: overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI). ResultsOver an average 21 years of follow-up, we identified 65,087 deaths, including 18,663 from CVD and 16,171 from cancer. Comparing the highest versus lowest quintiles, greater scores of PDI and hPDI were associated with a lower risk of all-cause mortality in both men (HR=0.85, 95% CI: 0.82-0.89 for PDI; HR=0.88, 95% CI: 0.85-0.91 for hPDI; both P for trend <0.0001) and women (HR=0.89, 95% CI: 0.86-0.93 for PDI; HR=0.86, 95% CI: 0.83-0.89 for hPDI; both P for trend <0.0001). An increased risk of all-cause mortality with uPDI was observed only in women (HR=1.11, 95% CI: 1.07-1.15, P for trend <0.0001; P for heterogeneity by sex =0.019). A similar trend was shown for CVD mortality with a significant increase in risk with uPDI for both men and women. PDI was associated with a lower risk of cancer mortality in men (HR=0.86, 95% CI: 0.80-0.92, P for trend <0.0001), while neither hPDI nor uPDI was associated in either sex. Compared with the other racial and ethnic groups within each sex, the association of uPDI with all-cause mortality was stronger in White men (P for heterogeneity by race and ethnicity = 0.009) and weaker in Latino women (P for heterogeneity = 0.002). ConclusionA healthy plant-based dietary pattern emphasizing the quality of plant foods was associated with a lower risk of all-cause and CVD mortality in both men and women, although the magnitude of the associations varied across racial and ethnic groups.

Dental caries prevalence in relation to the cardiovascular diseases: cross-sectional findings from the Iranian kurdish population.

Oral and dental health (ODH) is a significant public health concern globally, affecting billions of people. This cross-sectional study aimed to examine the prevalence of dental caries using the DMFT index and investigate its relationship with cardiovascular diseases in the Iranian Kurdish population. A total of 3,996 individuals aged 35-70 years were included from the Dehgolan prospective cohort study (DehPCS). Clinical examinations were performed to assess decayed (DT), missing (MT) and filled (FT) teeth (DMFT index). Data on demographics, socioeconomic status, medical history, oral hygiene practices were also collected. Cardiovascular disease (CVD) history was self-reported via questionnaires assessing heart disease, heart attack and stroke. Logistic regression was used to assess associations between oral health indicators and self-reported CVD, adjusting for potential confounders. The mean DMFT score was 18.18 ± 19, indicating a high oral disease burden. Specifically, 60.04% had DT, 37.82% had more than 16 MT, and 38.83% had FT. Only 13.21% reported flossing regularly and 43.17% brushed less than daily, showing suboptimal oral hygiene. The overall CVD prevalence was 9.21%. Individuals with high DMFT (≥ 14) scores had approximately two times higher CVD prevalence than those with low DMFT. DMFT decreased by 10.23% with increase in education level, and by 5.87% as economic status increased In adjusted analyses, high DMFT scores (OR = 1.5, 95%CI: 1.2-1.9) and MT (OR = 1.5, 95%CI: 1.1-2.1) were associated with 50-150% increased odds of CVD, though associations weakened after adjusting for age. Among men, DMFT remained a significant predictor for CVD after age adjustment, with an odds ratio of 2.37 (95% CI: 1.22-4.60). This population had substantial oral disease and poor oral hygiene. Higher DMFT scores and MT positively correlated with increased CVD prevalence. Promoting preventive oral care and health education could help reduce dental issues and potentially lower CVD risk. Further research is needed to clarify biological mechanisms linking oral and systemic health.

Higher cardiovascular disease risks in people living with HIV: A systematic review and meta-analysis.

The prognosis of AIDS after active antiretroviral therapy (ART) and the quality of life of people living with HIV (PLWH) are both affected by non-AIDS-related diseases such as cardiovascular disease (CVD). However, the specific risk ratios between PLWH and individuals negative for HIV are poorly understood. We aimed to systematically review and investigate the CVD risk factors associated with HIV. We searched PubMed, Embase, Web of Science, and Cochrane Library databases between 1 January 2015, and 12 May 2023 for articles reported the prevalence and risk factors of CVD such as hypertension, dyslipidaemia, coronary artery disease (CAD), and myocardial infarction (MI). Due to the high heterogeneity, we used a random-effects model to analyse the data. All statistical analyses were performed using Stata/MP 17.0 with 95% confidence intervals (CIs). We analysed 31 eligible studies including 312 913 PLWH. People living with HIV had higher risks of dyslipidaemia (hazard ratio (HR) = 1.53; 95% CI = 1.29, 1.82), CAD (HR = 1.37; 95% CI = 1.24, 1.51), and MI (HR = 1.47; 95% CI = 1.28, 1.68) compared to individuals without HIV. However, there were no significant differences in the prevalence of hypertension between groups (HR = 1.17; 95% CI = 0.97, 1.41). Subgroup analysis revealed that men with HIV, PLWH who smoked and the elderly PLWH had a high prevalence of CVD. Moreover, the disease prevalence patterns varied among regions. In the USA and Europe, for instance, some HRs for CVD were higher than in other regions. Active ART initiation after 2015 appears to have a lower risk of CVD (hypertension, hyperlipidaemia, CAD). All outcomes under analysis showed significant heterogeneity (I2>70%, P < 0.001), which the available study-level variables could only partially account for. People living with HIV had a higher CVD risk than the general population; thus, CVD prevention in PLWH requires further attention. Rapid initiation of ART may reduce the incidence of CVD in PLWH. For timely screening of CVD high-risk individuals and thorough disease management to prevent CVD, further studies are required to evaluate the risk factors for CVD among PLWH, such as age, region, etc. PROSPERO (CRD42021255508).

Changes in Sleep Patterns, Genetic Susceptibility, and Incident Cardiovascular Disease in China

The associations of changes in sleep patterns with incident cardiovascular disease (CVD) are not fully elucidated, and whether these associations are modified by genetic susceptibility remains unknown. To investigate the associations of 5-year changes in sleep patterns with incident CVD and whether genetic susceptibility modifies these associations. This prospective cohort study of the Dongfeng-Tongji cohort was conducted from 2008 to 2018 in China. Eligible participants included those with complete sleep information at baseline survey (2008-2010) and the first follow-up survey (2013); participants who had no CVD or cancer in 2013 were prospectively assessed until 2018. Statistical analysis was performed in November 2023. Five-year changes in sleep patterns (determined by bedtime, sleep duration, sleep quality, and midday napping) between 2008 and 2013, and polygenic risk scores (PRS) for coronary heart disease (CHD) and stroke. Incident CVD, CHD, and stroke were identified from 2013 to 2018. Cox proportional hazards regression models were applied to estimate hazard ratios (HRs) and 95% CIs. Among 15 306 individuals (mean [SD] age, 65.8 [7.4] years; 8858 [57.9%] female and 6448 male [42.1%]), 5474 (35.78%) had persistent unfavorable sleep patterns and 3946 (25.8%) had persistent favorable sleep patterns. A total of 3669 incident CVD cases were documented, including 2986 CHD cases and 683 stroke cases, over a mean (SD) follow-up of 4.9 (1.5) years. Compared with those with persistent unfavorable sleep patterns, individuals with persistent favorable sleep patterns over 5 years had lower risks of incident CVD (HR, 0.80; 95% CI, 0.73-0.87), CHD (HR, 0.84; 95% CI, 0.76-0.92), and stroke (HR, 0.66; 95% CI, 0.54-0.82) in the subsequent 5-year period. No significant effect modification by PRS was observed for sleep pattern change and CHD or stroke risk. However, sleep pattern changes and PRS were jointly associated with the CHD and stroke risk in a dose-dependent manner, with the lowest risk being among those with persistent favorable sleep patterns combined with low PRS (HR for CHD, 0.65; 95% CI, 0.52-0.82 and HR for stroke, 0.48; 95% CI, 0.29-0.79). In this cohort study of middle-aged and older Chinese adults, individuals with persistent favorable sleep patterns had a lower CVD risk, even among those with higher genetic risk. These findings highlight the importance of maintaining favorable sleep patterns for CVD prevention.

The effect of obesity phenotype changes on cardiovascular outcomes in adults older than 40 years in the prospective cohort of the Tehran lipids and glucose study (TLGS): joint model of longitudinal and time-to-event data

BackgroundObesity is a worldwide health concern with serious clinical effects, including myocardial infarction (MI), stroke, cardiovascular diseases (CVDs), and all-cause mortality. The present study aimed to assess the association of obesity phenotypes and different CVDs and mortality in males and females by simultaneously considering the longitudinal and survival time data.MethodsIn the Tehran Lipid and Glucose Study (TLGS), participants older than three years were selected by a multi-stage random cluster sampling method and followed for about 19 years. In the current study, individuals aged over 40 years without a medical history of CVD, stroke, MI, and coronary heart disease were included. Exclusions comprised those undergoing treatment for CVD and those with more than 30% missing information or incomplete data. Joint modeling of longitudinal binary outcome and survival time data was applied to assess the dependency and the association between the changes in obesity phenotypes and time to occurrence of CVD, MI, stroke, and CVD mortality. To account for any potential sex-related confounding effect on the association between the obesity phenotypes and CVD outcomes, sex-specific analysis was carried out. The analysis was performed using packages (JMbayes2) of R software (version 4.2.1).ResultsOverall, 6350 adults above 40 years were included. In the joint modeling of CVD outcome among males, literates and participants with a family history of diabetes were at lower risk of CVD compared to illiterates and those with no family history of diabetes in the Bayesian Cox model. Current smokers were at higher risk of CVD compared to non-smokers. In a logistic mixed effects model, odds of obesity phenotype was higher among participants with low physical activity, family history of diabetes and older age compared to males with high physical activity, no family history of diabetes and younger age. In females, based on the results of the Bayesian Cox model, participants with family history of diabetes, family history of CVD, abnormal obesity phenotype and past smokers had a higher risk of CVD compared to those with no history of diabetes, CVD and nonsmokers. In the obesity varying model, odds of obesity phenotype was higher among females with history of diabetes and older age compared to those with no history of diabetes and who were younger. There was no significant variable associated with MI among males in the Bayesian Cox model. Odds of obesity phenotype was higher in males with low physical activity compared to those with high physical activity in the obesity varying model, whereas current smokers were at lower odds of obesity phenotype than nonsmokers. In females, risk of MI was higher among those with family history of diabetes compared to those with no history of diabetes in the Bayesian Cox model. In the logistic mixed effects model, a direct and significant association was found between age and obesity phenotype. In males, participants with history of diabetes, abnormal obesity phenotype and older age were at higher risk of stroke in the Bayesian Cox model compared to males with no history of diabetes, normal obesity phenotype and younger persons. In the obesity varying model, odds of obesity phenotype was higher in males with low physical activity, family history of diabetes and older age compared to those with high physical activity, no family history of diabetes and who were younger. Smokers had a lower odds of obesity phenotype than nonsmokers. In females, past smokers and those with family history of diabetes were at higher risk of stroke compared to nonsmokers and females with no history of diabetes in the Bayesian Cox model. In the obesity varying model, females with family history of diabetes and older ages had a higher odds of obesity phenotype compared to those with no family history of diabetes and who were younger. Among males, risk of CVD mortality was lower in past smokers compared to nonsmokers in the survival model. A direct and significant association was found between age and CVD mortality. Odds of obesity phenotype was higher in males with a history of diabetes than in those with no family history of diabetes in the logistic mixed effects model.ConclusionsIt seems that modifications to metabolic disorders may have an impact on the heightened incidence of CVDs. Based on this, males with obesity and any type of metabolic disorder had a higher risk of CVD, stroke and CVD mortality (excluding MI) compared to those with a normal body mass index (BMI) and no metabolic disorders. Females with obesity and any type of metabolic disorder were at higher risk of CVD(, MI and stroke compared to those with a normal BMI and no metabolic disorders suggesting that obesity and metabolic disorders are related. Due to its synergistic effect on high blood pressure, metabolic disorders raise the risk of CVD.

Association of dietary calcium intake at dinner versus breakfast with cardiovascular disease in U.S. adults: the national health and nutrition examination survey, 2003-2018.

Currently, it is still largely unknown whether the proportion of calcium intake at breakfast and dinner is associated with cardiovascular disease (CVD) in the general population. The aim of this study was to evaluate the association of dietary calcium intake at dinner versus breakfast with CVD in a nationally representative sample of US adults. The study population consisted of 36,164 US adults (including 4,040 CVD cases) from the NHANES 2003 to 2018. According to the ratio of dietary calcium intake at dinner and breakfast (Δ = dinner/breakfast), 36,164 participants were divided into five groups. After adjustment for a series of confounder factors, logistic regression analyses were performed to examine the association between Δ and CVD. Dietary substitution models were used to explore the changes in CVD risk when a 5% dietary calcium intake at dinner was substituted with dietary calcium intake at breakfast. Compared with participants in the lowest quintile, participants in the highest quintile were more likely to have CVD, with an adjusted OR of CVD of 1.16 (95% CI, 1.03 to 1.31). When the total calcium intake remained constant, replacing a 5% dietary calcium intake at dinner with dietary calcium intake at breakfast was associated with a 6% lower risk of CVD. Compared to the lowest quintile of Δ, participants in the highest quintile of Δ were likely to experience CVD in the general population. It is necessary to scientifically allocate dietary calcium intake at breakfast and dinner.

Association between Longitudinal Change of Sleep Patterns and the Risk of Cardiovascular Diseases.

To investigate the role of longitudinal change of sleep patterns in the incidence of cardiovascular diseases (CVD). Based on UK Biobank, a total of 18,172 participants were enrolled. Five dimensions of healthy sleep including early chronotype, sleep 7-8 hours/day, free of insomnia, no snoring, and no frequent excessive daytime sleepiness were used to generate a healthy sleep score (HSS) ranging from 0 to 5. Corresponding to the HSS of 0-1, 2-3, and 4-5, the poor, intermediate, and healthy sleep pattern were defined. Based on changes of HSS across assessment 1 and 2, we calculated the absolute difference of HSS. For the change of sleep patterns, we categorized five profiles (stable healthy, worsening, stable intermediate, optimizing, and stable poor sleep patterns). The outcomes were incidence of CVD including coronary heart disease (CHD) and stroke. We assessed the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) by Cox hazard models. Compared with participants with stable poor pattern, those who improved their sleep pattern or maintained the healthy sleep pattern had a 26% and 32% lower risk of CVD, respectively. Stable healthy sleep pattern was associated with a 29% and 44% reduced risk of CHD and stroke. Per unit longitudinal increment of the HSS was related to an 8% lower risk of CVD and CHD. Compared with individuals with constant HSS, those with decreased HSS had a 13% higher risk of developing CVD. Optimizing sleep pattern and maintaining the healthy sleep pattern may reduce the risk of CVD.