Search

Background: Youth use different forms of screen time (e.g., streaming, gaming) that may be related to body mass index (BMI). Screen time is non-independent from other behaviors, including physical activity and sleep duration. Statistical approaches such as isotemporal substitution or compositional data analysis (CoDA) can model associations between these non-independent behaviors and health outcomes. Few studies have examined different types of screen time, physical activity, and sleep duration simultaneously in relation to BMI. Methods: Data were baseline (2017–2018) and one-year follow-up (2018–2019) from the Adolescent Brain Cognitive Development Study, a multi-site study of a nationally representative sample of U.S. youth (N = 10,544, mean [SE] baseline age = 9.9 [0.03] years, 48.9% female, 45.4% non-White). Participants reported daily minutes of screen time (streaming, gaming, socializing), physical activity, and sleep. Sex-stratified models estimated the association between baseline behaviors and follow-up BMI z-score, controlling for demographic characteristics, internalizing symptoms, and BMI z-score at baseline. Results: In females, isotemporal substitution models estimated that replacing 30 min of socializing (β [95% CI] = -0.03 [-0.05, -0.002]), streaming (-0.03 [-0.05, -0.01]), or gaming (-0.03 [-0.06, -0.01]) with 30 min of physical activity was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing (-0.03 [-0.05, -0.01]), streaming (-0.02 [-0.03, -0.01]), or gaming (-0.02 [-0.03, -0.01]) with 30 min of sleep was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing with 30 min of gaming was associated with a lower follow-up BMI z-score (-0.01 [-0.03, -0.0001]). CoDA estimated that in males, a greater proportion of time spent in baseline socializing, relative to the remaining behaviors, was associated with a higher follow-up BMI z-score (0.05 [0.02, 0.08]). In females, no associations between screen time and BMI were observed using CoDA. Conclusions: One-year longitudinal associations between screen time and BMI may depend on form of screen time, what behavior it replaces (physical activity or sleep), and participant sex. The alternative statistical approaches yielded somewhat different results. Experimental manipulation of screen time and investigation of biopsychosocial mechanisms underlying the observed sex differences will allow for causal inference and can inform interventions. [ABSTRACT FROM AUTHOR]

Background: Inhibitory control develops in early childhood, and atypical development may be a measurable marker of risk for the later development of psychosis. Additionally, inhibitory control may be a target for intervention. Methods: Behavioral performance on a developmentally appropriate Go/No-Go task including a frustration manipulation completed by children ages 3–5 years (early childhood; n = 107) was examined in relation to psychotic-like experiences (PLEs; 'tween'; ages 9–12), internalizing symptoms, and externalizing symptoms self-reported at long-term follow-up (pre-adolescence; ages 8–11). ERP N200 amplitude for a subset of these children (n = 34) with electrophysiological data during the task was examined as an index of inhibitory control. Results: Children with lower accuracy on No-Go trials compared to Go trials in early childhood (F (1,101) = 3.976, p = 0.049), evidenced higher PLEs at the transition to adolescence 4–9 years later, reflecting a specific deficit in inhibitory control. No association was observed with internalizing or externalizing symptoms. Decreased accuracy during the frustration manipulation predicted higher internalizing, F (2,202) = 5.618, p = 0.004, and externalizing symptoms, F (2,202) = 4.663, p = 0.010. Smaller N200 amplitudes were observed on No-Go trials for those with higher PLEs, F (1,101) = 6.075, p = 0.020; no relationship was observed for internalizing or externalizing symptoms. Conclusions: Long-term follow-up demonstrates for the first time a specific deficit in inhibitory control behaviorally and electrophysiology, for individuals who later report more PLEs. Decreases in task performance under frustration induction indicated risk for internalizing and externalizing symptoms. These findings suggest that pathophysiological mechanisms for psychosis are relevant and discriminable in early childhood, and further, suggest an identifiable and potentially modifiable target for early intervention. [ABSTRACT FROM AUTHOR]

Background: We sought to identify depressive symptom subgroups in a community sample of young adults, investigate their stability over time, and determine their association with prevalent and incident cardiovascular disease (CVD) risk factors. Method: Participants were 3377 adults from the Coronary Artery Risk Development in Young Adults study. Using latent class and latent transition analysis, we derived subgroups based on items of the 20-item version of the Center for Epidemiologic Studies Depression Scale in 1990, and examined patterns of change over a 10-year period (1990–2000). Cox regression models were used to examine associations between subgroup membership and prevalent (2000) and incident (2000 to 2016) obesity, hypertension, and diabetes. Results: Three baseline subgroups were identified and labeled: "No Symptoms" (63.5%), "Lack of Positive Affect" (PA, 25.6%), and "Depressed Mood" (10.9%). At 10-year follow-up, individuals in "No Symptoms" subgroup had the highest probability (0.84) of being classified within the same subgroup. Participants classified as "Lack of PA" were likely (0.46) to remain in the same subgroup or be classified as "No Symptoms." Participants in the "Depressed Mood" were most likely to transition to the "Lack of PA" subgroup (0.38). Overall, 30.5% of participants transitioned between subgroups, with 11.4% classified as "Worsening" and 19.1% as "Improving." Relative to the "No Symptoms Stable," other subgroups ("Depressed Stable," "Worsening," and "Improving") were associated with prevalent obesity and hypertension. Conclusion: We identified distinct depressive symptom subgroups that are variably stable over time, and their change patterns were differentially associated with CVD risk factor prevalence. [ABSTRACT FROM AUTHOR]

Background: Geographic heterogeneity in COVID-19 outcomes in the United States is well-documented and has been linked with factors at the county level, including sociodemographic and health factors. Whether an integrated measure of place-based risk can classify counties at high risk for COVID-19 outcomes is not known.Methods: We conducted an ecological nationwide analysis of 2,701 US counties from 1/21/20 to 2/17/21. County-level characteristics across multiple domains, including demographic, socioeconomic, healthcare access, physical environment, and health factor prevalence were harmonized and linked from a variety of sources. We performed latent class analysis to identify distinct groups of counties based on multiple sociodemographic, health, and environmental domains and examined the association with COVID-19 cases and deaths per 100,000 population.Results: Analysis of 25.9 million COVID-19 cases and 481,238 COVID-19 deaths revealed large between-county differences with widespread geographic dispersion, with the gap in cumulative cases and death rates between counties in the 90th and 10th percentile of 6,581 and 291 per 100,000, respectively. Counties from rural areas tended to cluster together compared with urban areas and were further stratified by social determinants of health factors that reflected high and low social vulnerability. Highest rates of cumulative COVID-19 cases (9,557 [2,520]) and deaths (210 [97]) per 100,000 occurred in the cluster comprised of rural disadvantaged counties.Conclusions: County-level COVID-19 cases and deaths had substantial disparities with heterogeneous geographic spread across the US. The approach to county-level risk characterization used in this study has the potential to provide novel insights into communicable disease patterns and disparities at the local level. [ABSTRACT FROM AUTHOR]

Context: The independent contribution of young adult exposure to overweight and obesity to later-life incident diabetes is not well studied.Objective: To assess the associations of exposures to elevated body mass index (BMI) and waist circumference (WC) in young adulthood (ages 18-39 years) with incident diabetes later in life (≥40 years).Design: Pooled data from 6 US prospective cohorts (Atherosclerosis Risk in Communities Study, Cardiovascular Risk Development in Young Adults Study, Cardiovascular Health Study, (4) Framingham Heart Study Offspring Cohort, (5) Health, Aging and Body Composition Study, and (6) Multi-Ethnic Study of Atherosclerosis.Setting: Population-based cohort studies.Participants: 30 780 participants (56.1% female, 69.8% non-Hispanic white) without a diagnosis of diabetes by age 40.Interventions: We imputed BMI and WC trajectories from age 18 for every participant and estimated time-weighted average exposures to BMI or WC during young adulthood and later life.Main Outcome Measure(s): Incident diabetes defined as fasting glucose ≥126 mg/dL, nonfasting glucose ≥200 mg/dL, or use of diabetes medications.Results: During a 9-year median follow-up, 4323 participants developed incident diabetes. Young adult BMI and WC were associated with later-life incident diabetes after controlling for later-life exposures [hazard ratios (HR) 1.99 for BMI ≥ 30 kg/m2 and 2.13 for WC > 88cm (women)/>102cm (men) compared to normal ranges]. Young adult homeostatic model of insulin resistance mediated 49% and 44% of the association between BMI and WC with later-life incident diabetes. High-density lipoproteins and triglycerides mediated a smaller proportion of these associations.Conclusions: Elevated BMI and WC during young adulthood were independently associated with later-life incident diabetes. Insulin resistance may be a key mediator. [ABSTRACT FROM AUTHOR]

Context: A comprehensive characterization of racial/ethnic variations in vitamin D metabolism markers may improve our understanding of differences in bone and mineral homeostasis and the risk of vitamin D-related diseases.Objective: Describe racial/ethnic differences in vitamin D metabolism markers and their associations with genetic ancestry.Design, Setting, Participants: In a cross-sectional study within the Multi-Ethnic Study of Atherosclerosis (MESA), we compared a comprehensive panel of vitamin D metabolism markers across self-reported racial/ethnic groups of Black (N = 1759), White (N = 2507), Chinese (N = 788), and Hispanic (N = 1411). We evaluated associations of proportion African and European ancestry with this panel of markers in Black and Hispanic participants using ancestry informative markers. Latent class analysis evaluated associations between patterns of vitamin D measurements with race/ethnicity.Results: Compared with Black participants, White participants had significantly higher serum concentrations of 25-hydroxyvitamin D and fibroblast growth factor-23; lower concentrations of parathyroid hormone and 1,25-dihydroxyvitamin D; circulating vitamin D metabolite ratios suggesting lower CYP27B1 and higher CYP24A1 activity; higher urinary concentrations of calcium and phosphorus with higher urinary fractional excretion of phosphorus; and differences in vitamin D binding globulin haplotypes. Higher percent European ancestry was associated with higher 25-hydroxyvitamin D and lower parathyroid hormone concentrations among Black and Hispanic participants. Latent classes defined by vitamin D measurements reflected these patterns and differed significantly by race/ethnicity and ancestry.Conclusions: Markers of vitamin D metabolism vary significantly by race/ethnicity, may serve to maintain bone and mineral homeostasis across ranges of 25-hydroxyvitamin D production, and be attributable, at least partly, to genetic ancestry. [ABSTRACT FROM AUTHOR]

Importance: Cholesterol is a common nutrient in the human diet and eggs are a major source of dietary cholesterol. Whether dietary cholesterol or egg consumption is associated with cardiovascular disease (CVD) and mortality remains controversial.Objective: To determine the associations of dietary cholesterol or egg consumption with incident CVD and all-cause mortality.Design, Setting, and Participants: Individual participant data were pooled from 6 prospective US cohorts using data collected between March 25, 1985, and August 31, 2016. Self-reported diet data were harmonized using a standardized protocol.Exposures: Dietary cholesterol (mg/day) or egg consumption (number/day).Main Outcomes and Measures: Hazard ratio (HR) and absolute risk difference (ARD) over the entire follow-up for incident CVD (composite of fatal and nonfatal coronary heart disease, stroke, heart failure, and other CVD deaths) and all-cause mortality, adjusting for demographic, socioeconomic, and behavioral factors.Results: This analysis included 29 615 participants (mean [SD] age, 51.6 [13.5] years at baseline) of whom 13 299 (44.9%) were men and 9204 (31.1%) were black. During a median follow-up of 17.5 years (interquartile range, 13.0-21.7; maximum, 31.3), there were 5400 incident CVD events and 6132 all-cause deaths. The associations of dietary cholesterol or egg consumption with incident CVD and all-cause mortality were monotonic (all P values for nonlinear terms, .19-.83). Each additional 300 mg of dietary cholesterol consumed per day was significantly associated with higher risk of incident CVD (adjusted HR, 1.17 [95% CI, 1.09-1.26]; adjusted ARD, 3.24% [95% CI, 1.39%-5.08%]) and all-cause mortality (adjusted HR, 1.18 [95% CI, 1.10-1.26]; adjusted ARD, 4.43% [95% CI, 2.51%-6.36%]). Each additional half an egg consumed per day was significantly associated with higher risk of incident CVD (adjusted HR, 1.06 [95% CI, 1.03-1.10]; adjusted ARD, 1.11% [95% CI, 0.32%-1.89%]) and all-cause mortality (adjusted HR, 1.08 [95% CI, 1.04-1.11]; adjusted ARD, 1.93% [95% CI, 1.10%-2.76%]). The associations between egg consumption and incident CVD (adjusted HR, 0.99 [95% CI, 0.93-1.05]; adjusted ARD, -0.47% [95% CI, -1.83% to 0.88%]) and all-cause mortality (adjusted HR, 1.03 [95% CI, 0.97-1.09]; adjusted ARD, 0.71% [95% CI, -0.85% to 2.28%]) were no longer significant after adjusting for dietary cholesterol consumption.Conclusions and Relevance: Among US adults, higher consumption of dietary cholesterol or eggs was significantly associated with higher risk of incident CVD and all-cause mortality in a dose-response manner. These results should be considered in the development of dietary guidelines and updates. [ABSTRACT FROM AUTHOR]

Introduction: Earlier development of cardiovascular disease risk factors in blacks versus whites may result from differences in maintaining health behaviors. Age-specific racial differences in maintaining health behaviors from ages 18 to 50 years were determined.Methods: In 1985-1986, the population-based Coronary Artery Risk Development in Young Adults study enrolled 5,115 participants aged 18-30 years. In 2017, a total of 2,485 blacks and 2,407 whites with one or more optimal health behaviors at baseline who attended one or more of seven follow-up exams over 25 years (i.e., through 2010-2011) were analyzed. The primary outcome, maintaining four or more optimal health behaviors, included BMI <25; never smoking; ≥150 minutes/week of moderate to vigorous physical activity; no/moderate alcohol intake (women/men: zero to seven/zero to 14 drinks per week); and Dietary Approaches to Stop Hypertension diet adherence score ≥15 (i.e., baseline highest quartile). Hazard ratios comparing blacks with whites for maintaining optimal health behaviors were calculated among participants with each optimal behavior at baseline.Results: From ages 18 to 50 years, 2.6% of blacks and 9.2% of whites maintained four or more optimal health behaviors (for optimal BMI: 16.0% and 30.1%, smoking status: 74.6% and 78.4%, physical activity: 17.7% and 21.4%, alcohol intake: 68.4% and 64.6%, diet adherence: 3.9% and 10.3%, respectively). The multivariable adjusted hazard ratio comparing blacks with whites was 0.63 (95% CI=0.56, 0.72) for maintaining four or more optimal health behaviors (for optimal BMI: 0.82 [95% CI=0.66, 1.01], smoking status: 0.57 [95% CI=0.52, 0.62], physical activity: 0.83 [95% CI=0.75, 0.91], alcohol intake: 1.19 [95% CI=1.03, 1.37], diet adherence: 0.71 [95% CI=0.61, 0.82]).Conclusions: Fewer blacks than whites maintained four or more optimal health behaviors until age 50 years, but maintenance was low among both races. [ABSTRACT FROM AUTHOR]

Importance: Little is known regarding the association between level of blood pressure (BP) in young adulthood and cardiovascular disease (CVD) events by middle age.Objective: To assess whether young adults who developed hypertension, defined by the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) BP guideline, before age 40 years have higher risk for CVD events compared with those who maintained normal BP.Design, Setting, and Participants: Analyses were conducted in the prospective cohort Coronary Artery Risk Development in Young Adults (CARDIA) study, started in March 1985. CARDIA enrolled 5115 African American and white participants aged 18 to 30 years from 4 US field centers (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and Oakland, California). Outcomes were available through August 2015.Exposures: Using the highest BP measured from the first examination to the examination closest to, but not after, age 40 years, each participant was categorized as having normal BP (untreated systolic BP [SBP] <120 mm Hg and diastolic BP [DBP] <80 mm Hg; n = 2574); elevated BP (untreated SBP 120-129 mm Hg and DBP <80 mm Hg; n = 445); stage 1 hypertension (untreated SBP 130-139 mm Hg or DBP 80-89 mm Hg; n = 1194); or stage 2 hypertension (SBP ≥140 mm Hg, DBP ≥90 mm Hg, or taking antihypertensive medication; n = 638).Main Outcomes and Measures: CVD events: fatal and nonfatal coronary heart disease (CHD), heart failure, stroke, transient ischemic attack, or intervention for peripheral artery disease (PAD).Results: The final cohort included 4851 adults (mean age when follow-up for outcomes began, 35.7 years [SD, 3.6]; 2657 women [55%]; 2441 African American [50%]; 206 taking antihypertensive medication [4%]). Over a median follow-up of 18.8 years, 228 incident CVD events occurred (CHD, 109; stroke, 63; heart failure, 48; PAD, 8). CVD incidence rates for normal BP, elevated BP, stage 1 hypertension, and stage 2 hypertension were 1.37 (95% CI, 1.07-1.75), 2.74 (95% CI, 1.78-4.20), 3.15 (95% CI, 2.47-4.02), and 8.04 (95% CI, 6.45-10.03) per 1000 person-years, respectively. After multivariable adjustment, hazard ratios for CVD events for elevated BP, stage 1 hypertension, and stage 2 hypertension vs normal BP were 1.67 (95% CI, 1.01-2.77), 1.75 (95% CI, 1.22-2.53), and 3.49 (95% CI, 2.42-5.05), respectively.Conclusions and Relevance: Among young adults, those with elevated blood pressure, stage 1 hypertension, and stage 2 hypertension before age 40 years, as defined by the blood pressure classification in the 2017 American College of Cardiology/American Heart Association (ACC/AHA) guidelines, had significantly higher risk for subsequent cardiovascular disease events compared with those with normal blood pressure before age 40 years. The ACC/AHA blood pressure classification system may help identify young adults at higher risk for cardiovascular disease events. [ABSTRACT FROM AUTHOR]

Background: We examined the association of cardiovascular health at younger ages with the proportion of life lived free of morbidity, the cumulative burden of morbidity, and average healthcare costs at older ages.Methods: The CHA study (Chicago Heart Association Detection Project in Industry) is a longitudinal cohort of employed men and women 18 to 74 years of age at baseline examination in 1967 to 1973. Baseline measurements included blood pressure, cholesterol, diabetes mellitus, body mass index, and smoking. Individuals were classified into 1 of 4 strata of cardiovascular health: favorable levels of all factors, 0 factors high but ≥1 elevated risk factors, 1 high risk factor, and ≥2 high risk factors. Linked Medicare and National Death Index data from 1984 to 2010 were used to determine morbidity in older age. An individual's all-cause morbidity score and cardiovascular morbidity score were calculated from International Classification of Disease, Ninth Revision codes for each year of follow-up.Results: We included 25 804 participants who became ≥65 years of age by 2010, representing 65% of all original CHA participants (43% female; 90% white; mean age, 44 years at baseline); 6% had favorable levels of all factors, 19% had ≥1 risk factors at elevated levels, 40% had 1 high risk factor, and 35% had ≥2 high risk factors. Favorable cardiovascular health at younger ages extended survival by almost 4 years and postponed the onset of all-cause and cardiovascular morbidity by 4.5 and 7 years, respectively, resulting in compression of morbidity in both absolute and relative terms. This translated to lower cumulative and annual healthcare costs for those in favorable cardiovascular health (P<0.001) during Medicare eligibility.Conclusions: Individuals in favorable cardiovascular health in early middle age live a longer, healthier life free of all types of morbidity. These findings provide strong support for prevention efforts earlier in life aimed at preserving cardiovascular health and reducing the burden of disease in older ages. [ABSTRACT FROM AUTHOR]

Background: This study was conducted to examine the association between ideal cardiovascular health (CVH) and health-related quality of life and health status indicators.Methods: This cross-sectional study included adult NHANES participants from 2001 to 2010 without CVD (N = 7115). CVH was defined according to AHA definitions with poor, intermediate and ideal levels of the seven factors (diet, BMI, physical activity, smoking, blood pressure, glucose, and cholesterol) assigned scores of 0, 1, and 2, respectively. A CVH score (CVHS) was calculated as the sum of the scores from each individual health factor (range 0-14; higher score indicating greater CVH). CVHS was categorized as poor (0-7), intermediate (8-10), and ideal (11-14). Linear regression models examined the association between CVHS category with health status and number of unhealthy days per month, adjusted for socio-demographic characteristics and disability.Results: Among US adults 20-79 years, 14, 46 and 40% had ideal, intermediate and poor CVHS, respectively. Compared to those with poor CVH, individuals in intermediate and ideal CVH were 44 and 71% less likely to report being in fair/poor health. Participants with ideal CVH scores reported a mean of 2.4 fewer unhealthy days over the past month, including one less day in which their physical health was not good and two fewer days in which their mental health was not good.Conclusions: Ideal CVH is associated with greater overall health status and fewer physically and mentally unhealthy days. [ABSTRACT FROM AUTHOR]

The article presents a study which concluded that the higher prevalence and lesser awareness and control of cardiovascular disease factors in a U.S. primary care-health professional shortage area (PC-HPSA) is attributed more to a low socioeconomic (SES) and ethnic environments than to the lack of physicians. It is advised that interventions be holistic in approach covering cultural norms, socioeconomic development, community education in addition to availability of primary care.

Background and Purpose: Of the 795,000 strokes occurring in the USA each year, over 20% are recurrent events. Little is known about how the rates of recurrent stroke in the country have changed over time. Our objective was to determine national trends in 1-year recurrent ischemic stroke rates by US county among the elderly from 1994 to 2002. Methods: One-year recurrent stroke rates following incident ischemic stroke (ICD-9 433, 434, 436) among all fee-for-service Medicare beneficiaries were determined by US county for 1994-1996, 1997-1999, and 2000-2002. Bayesian spatiotemporal Poisson modeling was used to determine county-specific trends in recurrent stroke rates over time with risk adjustment for demographics, medical history and comorbid conditions. Results: The analysis included more than 2.5 million beneficiaries (56% women; mean age: 78 years; 87% white; n = 957,933 for 1994-1996; n = 838,330 for 1996-1999; n = 895,916 for 2000-2002) aggregated to all 3,118 US counties. After adjustment for changing patient demographics and comorbidities, there was a 4.5% decrease in recurrent stroke rates from 1994-1996 (13.2%) to 2000-2002 (12.6%; p for trend <0.0001). The geographic and temporal patterns were not uniform; the recurrent stroke rates decreased within sections of the Southeast (the 'stroke belt'), but increased in counties in the middle and western sections of the USA. Conclusions: The overall recurrent ischemic stroke rates declined by almost 5% from 1994 to 2002, but temporal patterns varied markedly by region. Additional research is needed to identify the reasons for this geographic disparity. Copyright © 2010 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Background: Relatively little is known about trends in the utilization or outcomes of carotid endarterectomy (CEA) in the very elderly. We determined trends in the rates of CEA and perioperative (in-hospital and 30-day) and long-term (1-, 2-, 3-, 4- and 5-year) mortality in a US national sample of patients ≥80 years of age. Methods: All fee-for-service Medicare patients (80–89 and ≥90 years of age) who had a CEA [ICD-9-CM (International Classification of Diseases, Ninth Revision, Clinical Modification): 38.12] from 1993 to 1999 were identified using the Centers for Medicare and Medicaid Services Inpatient Standard Analytic Files. Demographic characteristics and comorbid conditions were determined using ICD-9-CM diagnostic codes within the year prior to the index hospitalization for CEA. Results: A total of 140,376 CEA were performed in patients aged 80–89 years and 6,446 in those aged ≥90 years during this 7-year period. The annual number of operations increased from 13,115 in 1993 to 21,582 in 1999 for octogenarians, and from 481 in 1993 to 1,257 in 1999 for nonagenarians. Perioperative mortality was 2.2% in octogenarians and 3.3% in nonagenarians. Long-term mortality increased by approximately 10% per year after the operation, and was 43% in octogenarians and 56% in nonagenarians at 5 years. Perioperative mortality rates remained relatively stable over the 7-year period for both age groups although comorbidities increased. Conclusions: The number of CEA performed in the very elderly in the USA increased from 1993 to 1999. Perioperative mortality rates were high compared with trial results, while long-term survivorship was comparable to that of similarly-aged peers in the USA. Copyright © 2009 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Background and Purpose: Differences in the management of women and men with acute coronary symptoms are well documented, but relatively little is known about practices for patients with ischemic stroke. We sought to determine whether there are sex-associated differences in the utilization of diagnostic tests for ischemic stroke patients treated at academic hospitals in the United States. Methods: Medical records were abstracted for consecutive ischemic stroke patients admitted to 32 US academic medical centers from January through June, 2004, as part of the University HealthSystem Consortium Ischemic Stroke Benchmarking Project. We compared the utilization rates of diagnostic tests including neuroimaging (CT or MRI), electrocardiogram (ECG), ultrasound of the carotid arteries, and echocardiography (transthoracic or transesophageal) for women and men. Multivariate logistic regression was used to test for sex differences with adjustment for potential confounders. Results: The study included 1,256 ischemic stroke patients (611 women; 645 men; mean age 66.6 ± 14.6 years; 56% white). There were no differences between women and men in the use of neuroimaging (odds ratio, OR = 1.37; 95% confidence interval, CI = 0.58–3.24), ECG (OR = 1.00, 95% CI = 0.70–1.44), carotid artery ultrasound (OR = 0.93, 95% CI = 0.72–1.21) or echocardiography (OR = 0.70, 95% CI = 0.70–1.22). The results were similar after covariate adjustment. Conclusions: Women and men admitted to US academic hospitals receive comparable diagnostic evaluations, even after adjusting for sociodemographic and clinical factors. Copyright © 2009 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Given the high rates at which individuals with alcohol use disorder (AUD) utilize health care for co-existing conditions, health systems are promising venues for interventions that will facilitate access to AUD treatment. However, how individuals with AUD interact with such systems and, thus, how systems should intervene is unclear. In this study, we seek to identify patterns in how individuals diagnosed with AUD within an academic health system interacted with the system prior to diagnosis. We use electronic health records from a single academic health system in a major US metropolitan area to create a deidentified retrospective cohort including all individuals age 18+ diagnosed with AUD 2010–2019 (n = 26,899). Latent class analysis (LCA) identified subgroups defined by aspects of previous system interaction and health status, including having an in-system primary care provider, previous utilization of primary and specialty care, diagnosis setting, payer, and presence of other chronic conditions. We then assessed subgroup differences in demographics and associations with in-system AUD treatment receipt in the year following diagnosis, adjusting for demographics. The population was on average 38.6 years old (standard deviation = 15.4) and predominantly male (66.1 %), White (64.5 %), and not of Hispanic/Latino ethnicity (87.8 %). Only 4.7 % received in-system treatment following diagnosis. We deemed the four-class model the optimal LCA model. This model identified subgroups that can be described as 1) average utilization (20.7 % of population), 2) low utilization (54.5 %), 3) high health burden and low utilization (14.2 %), and 4) high health burden and high utilization (10.6 %). Predicted membership in the high health burden and high utilization subgroup and low utilization subgroup were associated with higher and lower odds of treatment receipt, respectively, compared with predicted membership in the average utilization subgroup (odds ratio (OR) for high/high subgroup = 1.21, 95 % confidence interval (CI) = 1.01, 1.27; OR for low subgroup = 0.29 95 % CI = 0.24, 0.34). Individuals diagnosed with AUD within a health system interact with that system in markedly different ways and are unlikely to benefit uniformly from system-based interventions to facilitate treatment. Group-tailored interventions are more likely to have impact and provide returns on investments for systems. • Individuals with AUD interact with health systems in four unique patterns. • Interventions to increase access to treatment should be tailored to these patterns. • Both interaction with the health care system and comorbidity burden are important. [ABSTRACT FROM AUTHOR]

Introduction: Childhood declines in cardiovascular health have been linked to the development of subclinical atherosclerosis; however, less is known about the timing and sequence of the decline of the specific cardiovascular health components. The study objective is to identify the patterns of decline and associations with adulthood subclinical atherosclerosis.Methods: Data were pooled from 5 cardiovascular cohorts. Clinical components of cardiovascular health (BMI, blood pressure, cholesterol, and blood glucose) were categorized as ideal or nonideal using American Heart Association definitions. Multitrajectory models simultaneously fitted the probability ideal for each factor. Adjusted associations between trajectory groups and carotid intima-media thickness were modeled. Data were pooled from December 1, 2015 to June 1, 2019; statistical analysis occurred between June 1, 2019 and June 1, 2020.Results: This study included 9,388 individuals (55% female, 66% White). A total of 5 distinct trajectory groups were created: 1 maintained the ideal levels of all the 4 health factors, 2 had risk onset of a single factor in childhood, 1 had risk onset of multiple factors in childhood, and 1 had risk onset in adulthood. Those with childhood multiple risk onset had 8.1% higher carotid intima-media thickness (95% CI=0.067, 0.095) than those in the ideal group, childhood cholesterol risk onset had 5.9% higher carotid intima-media thickness (95% CI=0.045, 0.072), childhood BMI risk onset had 5.5% higher carotid intima-media thickness (95% CI=0.041, 0.069), and early adulthood multiple risk onset had 2.7% higher carotid intima-media thickness (95% CI=0.013, 0.041).Conclusions: Those who lost the ideal status of cardiovascular health in childhood and early adulthood had more subclinical atherosclerosis than those who retained the ideal cardiovascular health across the life course, underscoring the importance of preserving the ideal cardiovascular health beginning in childhood and continued into adulthood. [ABSTRACT FROM AUTHOR]

Background: Rates of maternal mortality are increasing in the United States with significant rural-urban disparities. Pre-pregnancy hypertension is a well-established risk factor for adverse maternal and offspring outcomes.Objectives: The purpose of this study was to describe trends in maternal pre-pregnancy hypertension among women in rural and urban areas in 2007 to 2018 in order to inform community-engaged prevention and policy strategies.Methods: We performed a nationwide, serial cross-sectional study using maternal data from all live births in women age 15 to 44 years between 2007 and 2018 (CDC Natality Database). Rates of pre-pregnancy hypertension were calculated per 1,000 live births overall and by urbanization status. Subgroup analysis in standard 5-year age categories was performed. We quantified average annual percentage change using Joinpoint Regression and rate ratios (95% confidence intervals [CIs]) to compare yearly rates between rural and urban areas.Results: Among 47,949,381 live births to women between 2007 and 2018, rates of pre-pregnancy hypertension per 1,000 live births increased among both rural (13.7 to 23.7) and urban women (10.5 to 20.0). Two significant inflection points were identified in 2010 and 2016, with highest annual percentage changes between 2016 and 2018 in rural and urban areas. Although absolute rates were lower in younger compared with older women in both rural and urban areas, all age groups experienced similar increases. The rate ratios of pre-pregnancy hypertension in rural compared with urban women ranged from 1.18 (95% CI: 1.04 to 1.35) for ages 15 to 19 years to 1.51 (95% CI: 1.39 to 1.64) for ages 40 to 44 years in 2018.Conclusions: Maternal burden of pre-pregnancy hypertension has nearly doubled in the past decade and the rural-urban gap has persisted. [ABSTRACT FROM AUTHOR]

Background: The prognostic significance of temporal changes in resting heart rate in young adults for premature heart failure and cardiovascular disease is unclear. We investigated the association between temporal changes in resting heart rate in young adults and early adult risk factors, subsequent cardiac function, and the risk of heart failure and cardiovascular by middle age.Methods: We examined 4343 Coronary Artery Risk Development in Young Adults (CARDIA) study participants (mean [SD] age was 29.9 [3.6] years at the CARDIA Year-5 examination [1990-1991], 49% of participants were men, and 45% were African-American). Adjusted linear regression models were used to assess the association between temporal changes in resting heart rate, early life cardiovascular disease risk factors, and midlife cardiac function. Cox proportional hazard regression models were used to relate temporal changes in resting heart rate to heart failure and cardiovascular disease. Outcomes were followed up until August 31, 2017.Results: Higher alcohol consumption (β = 0.03, P <0.001), lower physical activity (β = 0.002, P = 001), smoking (β = 1.58, P <0.001), men (P <0.001), African Americans (P <0.001), impaired left ventricular relaxation (e´,β = -0.13, P = 0.002), and worse diastolic function (E/e´, β = 0.1, P = 0.01) were associated with longitudinal increases in resting heart rate. We observed 268 cardiovascular disease and 74 heart failure events over a median of 26 years. In Cox models, baseline and temporal changes in resting heart rate were associated with higher risk of heart failure (hazard ratio [HR] =1.37 95% confidence interval [CI] [1.05-1.79] and HR = 1.38 95% CI [1.02-1.86]) and a higher risk cardiovascular disease (HR = 1.23 95% CI [1.07-1.42] and HR = 1.23 95% CI [1.05-1.44]).Conclusions: Baseline and temporal changes in resting heart rate in young adults were associated with incident heart failure and cardiovascular disease by midlife. Contributory factors were associations between temporal increases in resting heart rate and early adult risk factors and subsequent cardiac dysfunction. [ABSTRACT FROM AUTHOR]

Introduction: The American Heart Association's "Simple 7" offers a practical public health conceptualization of cardiovascular health (CVH). CVH predicts incident cardiovascular disease (CVD) in younger populations, but has not been studied in a large, diverse population of aging postmenopausal women. The extent to which CVH predicts cancer in postmenopausal women is unknown.Methods: Multivariable Cox regression estimated hazard ratios and 95% CIs for the association between CVH and incident CVD, any cancer, and cancer subtypes (lung, colorectal, and breast) among 161,809 Women's Health Initiative observational study and clinical trial participants followed from 1993 through 2010. Data were analyzed in 2013. CVH score was characterized as the number (0 [worst] to 7 [best]) of the American Heart Association's ideal CVH behaviors and factors at baseline: smoking, BMI, physical activity, diet, total cholesterol, blood pressure, and fasting glucose.Results: Median follow-up was approximately 13 years. Fewer minorities and less educated women achieved ideal CVH, a common benchmark. In adjusted models, compared with women with the highest (best) CVH scores, those with the lowest (worst) CVH scores had nearly seven times the hazard of incident CVD (6.83, 95% CI=5.83, 8.00) and 52% greater risk of incident cancer (1.52, 95% CI=1.35, 1.72). Ideal CVH was most strongly inversely associated with lung cancer, then colorectal cancer, and then breast cancer.Conclusions: Lower ideal CVH is more common among minority and less educated postmenopausal women and predicts increased risk of CVD and cancer in this population, emphasizing the importance of prevention efforts among vulnerable older adults. [ABSTRACT FROM AUTHOR]

Background: Long-term absolute risks for cardiovascular disease and mortality and cardiovascular disease-free survival according to diet quality at different adult ages are unclear.Methods: Data from 6 prospective cohorts collected in 1985-2016 were analyzed (n = 29,497). Baseline diet quality was assessed by alternate Healthy Eating Index 2010 (aHEI-2010), alternate Mediterranean (aMED) diet score, and Dietary Approaches to Stop Hypertension (DASH) score. Absolute risks were estimated using modified Kaplan-Meier analysis and cardiovascular disease-free survival using Irwin's restricted mean. Analyses were stratified by sex and baseline age: young (20-39 years), middle-aged (40-59), and older (60-79).Results: Comparing participants in the lowest quintile with those in the highest quintile of aHEI-2010 score, the 40-year risks for incident cardiovascular disease were 14.3% (95% confidence interval [CI]: 10.0-18.6) compared to 5.9% (3.0-8.9) in young men, 8.8% (4.3-13.3) compared to 3.0% (1.6-4.4) in young women, 39.6% (36.1-43.2) compared to 30.8% (26.2-35.3) in middle-aged men, and 32.9% (28.0-37.8) compared to 19.5% (16.6-22.4) in middle-aged women. For older adults, the 30-year risks for incident cardiovascular disease were 54.7% (49.3-60.2) compared to 49.7% (44.5-55.0) in men and 48.3% (44.0-52.5) compared to 42.4% (38.2-46.7) in women. Similar inverse associations were identified for all-cause mortality. Compared with participants in the lowest quintile of aHEI-2010 score, those in the highest quintile had ~0.5-2.2 years of longer cardiovascular disease-free survival. Results based on DASH score, but not aMED score, were similar to results based on aHEI-2010 score.Conclusions: Consuming a higher quality diet was associated with lower long-term absolute risks for cardiovascular disease and mortality and longer cardiovascular disease-free survival, regardless of sex or age at dietary assessment. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular health (CVH) in young adulthood (YA) has been associated with cardiovascular outcomes in older age. However, little is known about the relationship between YA CVH and mid-life blood pressure (BP) trajectories., Methods: Baseline CVH (defined by 7 of the American Heart Association's [AHA] Life's Essential 8 [LE8] metrics, excluding BP) was measured in YA with individual metrics scored and averaged as a composite LE8 score. Categorical CVH status was defined as high, moderate, and low. Latent class analysis was used to identify trajectories of mid-BP (mean of systolic blood pressure [SBP] and diastolic blood pressure [DBP]) from average ages 35 to 55 years. Multinomial logistic regression was used to estimate the association of YA CVH status (continuously and categorically) with mid-life BP trajectory group membership., Results: There were 3,688 participants from the Coronary Artery Risk Development in Young Adults (CARDIA) study in YA with follow-up data for mid-life BP trajectories. We observed 3 BP trajectory groups, labeled as Persistently-Low, Middle, and High-Increasing. On average, each 10-points higher baseline LE8 score (mean [SD] of 73.5 [13.1]) in YA was associated with adjusted odds ratios of 0.78 (95% CI, 0.72-0.84) for membership in the Middle and 0.65 (0.57-0.73) for membership in the High-Increasing trajectory groups. Compared with categorical low CVH status at baseline, those with high CVH were significantly less likely to be in the Middle and High-Increasing BP trajectory groups., Conclusions: Moderate or low CVH status in YA is associated with elevated mid-life BP trajectory. These data suggest that young adult CVH promotion may be important for the primordial prevention of hypertension., (© The Author(s) 2024. Published by Oxford University Press on behalf of American Journal of Hypertension, Ltd. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Importance: Persistent symptoms and disability following SARS-CoV-2 infection, known as post-COVID-19 condition or "long COVID," are frequently reported and pose a substantial personal and societal burden., Objective: To determine time to recovery following SARS-CoV-2 infection and identify factors associated with recovery by 90 days., Design, Setting, and Participants: For this prospective cohort study, standardized ascertainment of SARS-CoV-2 infection was conducted starting in April 1, 2020, across 14 ongoing National Institutes of Health-funded cohorts that have enrolled and followed participants since 1971. This report includes data collected through February 28, 2023, on adults aged 18 years or older with self-reported SARS-CoV-2 infection., Exposure: Preinfection health conditions and lifestyle factors assessed before and during the pandemic via prepandemic examinations and pandemic-era questionnaires., Main Outcomes and Measures: Probability of nonrecovery by 90 days and restricted mean recovery times were estimated using Kaplan-Meier curves, and Cox proportional hazards regression was performed to assess multivariable-adjusted associations with recovery by 90 days., Results: Of 4708 participants with self-reported SARS-CoV-2 infection (mean [SD] age, 61.3 [13.8] years; 2952 women [62.7%]), an estimated 22.5% (95% CI, 21.2%-23.7%) did not recover by 90 days post infection. Median (IQR) time to recovery was 20 (8-75) days. By 90 days post infection, there were significant differences in restricted mean recovery time according to sociodemographic, clinical, and lifestyle characteristics, particularly by acute infection severity (outpatient vs critical hospitalization, 32.9 days [95% CI, 31.9-33.9 days] vs 57.6 days [95% CI, 51.9-63.3 days]; log-rank P < .001). Recovery by 90 days post infection was associated with vaccination prior to infection (hazard ratio [HR], 1.30; 95% CI, 1.11-1.51) and infection during the sixth (Omicron variant) vs first wave (HR, 1.25; 95% CI, 1.06-1.49). These associations were mediated by reduced severity of acute infection (33.4% and 17.6%, respectively). Recovery was unfavorably associated with female sex (HR, 0.85; 95% CI, 0.79-0.92) and prepandemic clinical cardiovascular disease (HR, 0.84; 95% CI, 0.71-0.99). No significant multivariable-adjusted associations were observed for age, educational attainment, smoking history, obesity, diabetes, chronic kidney disease, asthma, chronic obstructive pulmonary disease, or elevated depressive symptoms. Results were similar for reinfections., Conclusions and Relevance: In this cohort study, more than 1 in 5 adults did not recover within 3 months of SARS-CoV-2 infection. Recovery within 3 months was less likely in women and those with preexisting cardiovascular disease and more likely in those with COVID-19 vaccination or infection during the Omicron variant wave.

Rationale: Chronic obstructive pulmonary disease (COPD) and emphysema are associated with endothelial damage and altered pulmonary microvascular perfusion. The molecular mechanisms underlying these changes are poorly understood in patients, in part because of the inaccessibility of the pulmonary vasculature. Peripheral blood mononuclear cells (PBMCs) interact with the pulmonary endothelium. Objectives: To test the association between gene expression in PBMCs and pulmonary microvascular perfusion in COPD. Methods: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study recruited two independent samples of COPD cases and controls with ⩾10 pack-years of smoking history. In both samples, pulmonary microvascular blood flow, pulmonary microvascular blood volume, and mean transit time were assessed on contrast-enhanced magnetic resonance imaging, and PBMC gene expression was assessed by microarray. Additional replication was performed in a third sample with pulmonary microvascular blood volume measures on contrast-enhanced dual-energy computed tomography. Differential expression analyses were adjusted for age, gender, race/ethnicity, educational attainment, height, weight, smoking status, and pack-years of smoking. Results: The 79 participants in the discovery sample had a mean age of 69 ± 6 years, 44% were female, 25% were non-White, 34% were current smokers, and 66% had COPD. There were large PBMC gene expression signatures associated with pulmonary microvascular perfusion traits, with several replicated in the replication sets with magnetic resonance imaging ( n  = 47) or dual-energy contrast-enhanced computed tomography ( n  = 157) measures. Many of the identified genes are involved in inflammatory processes, including nuclear factor-κB and chemokine signaling pathways. Conclusions: PBMC gene expression in nuclear factor-κB, inflammatory, and chemokine signaling pathways was associated with pulmonary microvascular perfusion in COPD, potentially offering new targetable candidates for novel therapies.

Background: The American Heart Association recently launched updated cardiovascular health metrics, termed Life's Essential 8 (LE8). Compared with Life's Simple 7 (LS7), the new approach added sleep health as an eighth metric and updated the remaining 7 health factors and behaviors. The association of the updated LE8 score with long-term cardiovascular disease (CVD) outcomes and death is unknown., Methods: We pooled individual-level data from 6 contemporary US-based cohorts from the Cardiovascular Lifetime Risk Pooling Project. Total LE8 score (0-100 points), LE8 score without sleep (0-100 points), and prior LS7 scores (0-14 points) were calculated separately. We used multivariable-adjusted Cox models to evaluate the association of LE8 with CVD, CVD subtypes, and all-cause mortality among younger, middle, and older adult participants. Net reclassification improvement analysis was used to measure the improvement in CVD risk classification with the addition of LS7 and LE8 recategorization based on score quartile rankings., Results: Our sample consisted of 32 896 US adults (7836 [23.8%] Black; 14 941 [45.4%] men) followed for 642 000 person-years, of whom 9391 developed CVD events. Each 10-point higher overall LE8 score was associated with lower risk by 22% to 40% for CVD, 24% to 43% for congenital heart disease, 17% to 34% for stroke, 23% to 38% for heart failure, and 17% to 21% for all causes of mortality events across age strata. LE8 score provided more granular differentiation of the related CVD risk than LS7. Overall, 19.5% and 15.5% of the study participants were recategorized upward and downward based on LE8 versus LS7 categories, respectively, and the recategorization was significantly associated with CVD risk in addition to LS7 score. The addition of recategorization between LE8 and LS7 categories improved CVD risk reclassification across age groups (clinical net reclassification improvement, 0.06-0.12; P <0.01)., Conclusions: These findings support the improved utility of the LE8 algorithm for assessing overall cardiovascular health and future CVD risk., Competing Interests: Disclosures None.

Since it was first defined by the American Heart Association in 2010, cardiovascular health (CVH) has been extensively studied across the life course. In this review, we present the current literature examining early life predictors of CVH, the later life outcomes of child CVH, and the relatively few interventions which have specifically addressed how to preserve and promote CVH across populations. We find that research on CVH has demonstrated that prenatal and childhood exposures are consistently associated with CVH trajectories from childhood through adulthood. CVH measured at any point in life is strongly predictive of future cardiovascular disease, dementia, cancer, and mortality as well as a variety of other health outcomes. This speaks to the importance of intervening early to prevent the loss of optimal CVH and the accumulation of cardiovascular risk. Interventions to improve CVH are not common but those that have been published most often address multiple modifiable risk factors among individuals within the community. Relatively few interventions have been focused on improving the construct of CVH in children. Future research is needed that will be both effective, scalable, and sustainable. Technology including digital platforms as well as implementation science will play key roles in achieving this vision. In addition, community engagement at all stages of this research is critical. Lastly, prevention strategies that are tailored to the individual and their context may help us achieve the promise of personalized prevention and help promote ideal CVH in childhood and across the life course., Competing Interests: Disclosures None.

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

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.

Background Adverse pregnancy outcomes (APOs) (hypertensive disorders of pregnancy [HDP], preterm delivery [PTD], or low birth weight [LBW]) are associated adverse maternal and offspring cardiovascular outcomes. Therefore, we sought to describe nationwide temporal trends in the burden of each APO (HDP, PTD, LBW) from 2007 to 2019 to inform strategies to optimize maternal and offspring health outcomes. Methods and Results We performed a serial cross-sectional analysis of APO subtypes (HDP, PTD, LBW) from 2007 to 2019. We included maternal data from all live births that occurred in the United States using the National Center for Health Statistics Natality Files. We quantified age-standardized and age-specific rates of APOs per 1000 live births and their respective mean annual percentage change. All analyses were stratified by self-report of maternal race and ethnicity. Among 51 685 525 live births included, 15% were to non-Hispanic Black individuals, 24% Hispanic individuals, and 6% Asian individuals. Between 2007 and 2019, age standardized HDP rates approximately doubled, from 38.4 (38.2-38.6) to 77.8 (77.5-78.1) per 1000 live births. A significant inflection point was observed in 2014, with an acceleration in the rate of increase of HDP from 2007 to 2014 (+4.1% per year [3.6-4.7]) to 2014 to 2019 (+9.1% per year [8.1-10.1]). Rates of PTD and LBW increased significantly when co-occurring in the same pregnancy with HDP. Absolute rates of APOs were higher in non-Hispanic Black individuals and in older age groups. However, similar relative increases were seen across all age,racial and ethnic groups. Conclusions In aggregate, APOs now complicate nearly 1 in 5 live births. Incidence of HDP has increased significantly between 2007 and 2019 and contributed to the reversal of favorable trends in PTD and LBW. Similar patterns were observed in all age groups, suggesting that increasing maternal age at pregnancy does not account for these trends. Black-White disparities persisted throughout the study period.

Introduction: Ideal cardiovascular health is present in <50% of children and <1% of adults, yet its prevalence from adolescence through adulthood has not been fully evaluated. This study characterizes the association of age with ideal cardiovascular health and compares these associations across sex, race/ethnicity, and SES subgroups., Methods: This study, conducted in 2020, analyzed adolescents and adults aged 12-79 years from the cross-sectional National Health and Nutrition Examination Survey 2005-2016 (N=38,706). Polynomial models were used to model the association of age with ideal cardiovascular health, defined using the American Heart Association's Life's Simple 7 criteria (scales 0-14, with higher values indicating better cardiovascular health)., Results: Mean cardiovascular health was lower with increasing age, starting in early adolescence and dropping to a nadir by age 60 years before stabilizing. At age 20 years, only 45% of adults had ideal cardiovascular health (≥5 ideal cardiovascular health metrics), and >50% of adults had poor cardiovascular health (≤2 ideal cardiovascular health metrics) at age 53 years. Women had higher mean cardiovascular health than men in early life but lower mean cardiovascular health from age 60 years onward. Mean cardiovascular health scores were highest for non-Hispanic White and higher-income adults and lowest for non-Hispanic Black and low-income adults across all ages. Mean cardiovascular health scores fell from intermediate to poor levels approximately 30 years earlier for non-Hispanic Black than for non-Hispanic White adults and approximately 35 years earlier for low-income adults than in higher-income adults., Conclusions: Cardiovascular health scores are lower with increasing age from early adolescence through adulthood. Race/ethnicity and income disparities in cardiovascular health are observed at young ages and are more profound at older ages., (Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Importance: Abundant evidence links obesity with adverse health consequences. However, controversies persist regarding whether overweight status compared with normal body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) is associated with longer survival and whether this occurs at the expense of greater long-term morbidity and health care expenditures., Objective: To examine the association of BMI in midlife with morbidity burden, longevity, and health care expenditures in adults 65 years and older., Design, Setting, and Participants: Prospective cohort study at the Chicago Heart Association Detection Project in Industry, with baseline in-person examination between November 1967 and January 1973 linked with Medicare follow-up between January 1985 and December 2015. Participants included 29 621 adults who were at least age 65 years in follow-up and enrolled in Medicare. Data were analyzed from January 2020 to December 2021., Exposures: Standard BMI categories., Main Outcomes and Measures: (1) Morbidity burden at 65 years and older assessed with the Gagne combined comorbidity score (ranging from -2 to 26, with higher score associated with higher mortality), which is a well-validated index based on International Classification of Diseases, Ninth Revision codes for use in administrative data sets; (2) longevity (age at death); and (3) health care costs based on Medicare linkage in older adulthood (aged ≥65 years)., Results: Among 29 621 participants, mean (SD) age was 40 (12) years, 57.1% were men, and 9.1% were Black; 46.0% had normal BMI, 39.6% were overweight, and 11.9% had classes I and II obesity at baseline. Higher cumulative morbidity burden in older adulthood was observed among those who were overweight (7.22 morbidity-years) and those with classes I and II obesity (9.80) compared with those with a normal BMI (6.10) in midlife (P < .001). Mean age at death was similar between those who were overweight (82.1 years [95% CI, 81.9-82.2 years]) and those who had normal BMI (82.3 years [95% CI, 82.1-82.5 years]) but shorter in those who with classes I and II obesity (80.8 years [95% CI, 80.5-81.1 years]). The proportion (SE) of life-years lived in older adulthood with Gagne score of at least 1 was 0.38% (0.00%) in those with a normal BMI, 0.41% (0.00%) in those with overweight, and 0.43% (0.01%) in those with classes I and II obesity. Cumulative median per-person health care costs in older adulthood were significantly higher among overweight participants ($12 390 [95% CI, $10 427 to $14 354]) and those with classes I and II obesity ($23 396 [95% CI, $18 474 to $28 319]) participants compared with those with a normal BMI (P < .001)., Conclusions and Relevance: In this cohort study, overweight in midlife, compared with normal BMI, was associated with higher cumulative burden of morbidity and greater proportion of life lived with morbidity in the context of similar longevity. These findings translated to higher total health care expenditures in older adulthood for those who were overweight in midlife.

Background: Individuals with CKD may be at high risk for atherosclerotic cardiovascular disease (ASCVD). However, there are no ASCVD risk prediction models developed in CKD populations to inform clinical care and prevention., Methods: We developed and validated 10-year ASCVD risk prediction models in patients with CKD that included participants without self-reported cardiovascular disease from the Chronic Renal Insufficiency Cohort (CRIC) study. ASCVD was defined as the first occurrence of adjudicated fatal and nonfatal stroke or myocardial infarction. Our models used clinically available variables and novel biomarkers. Model performance was evaluated based on discrimination, calibration, and net reclassification improvement., Results: Of 2604 participants (mean age 55.8 years; 52.0% male) included in the analyses, 252 had incident ASCVD within 10 years of baseline. Compared with the American College of Cardiology/American Heart Association pooled cohort equations (area under the receiver operating characteristic curve [AUC]=0.730), a model with coefficients estimated within the CRIC sample had higher discrimination ( P =0.03), achieving an AUC of 0.736 (95% confidence interval [CI], 0.649 to 0.826). The CRIC model developed using clinically available variables had an AUC of 0.760 (95% CI, 0.678 to 0.851). The CRIC biomarker-enriched model had an AUC of 0.771 (95% CI, 0.674 to 0.853), which was significantly higher than the clinical model ( P =0.001). Both the clinical and biomarker-enriched models were well-calibrated and improved reclassification of nonevents compared with the pooled cohort equations (6.6%; 95% CI, 3.7% to 9.6% and 10.0%; 95% CI, 6.8% to 13.3%, respectively)., Conclusions: The 10-year ASCVD risk prediction models developed in patients with CKD, including novel kidney and cardiac biomarkers, performed better than equations developed for the general population using only traditional risk factors., (Copyright © 2022 by the American Society of Nephrology.)

Background Cigarette smoking is significantly associated with premature death related and not related to cardiovascular disease (CVD). Whether risk associated with smoking is similar across CVD subtypes and how this translates into years of life lost is not known. Methods and Results We pooled and harmonized individual-level data from 9 population-based cohorts in the United States. All participants were free of clinical CVD at baseline with available data on current smoking status, covariates, and CVD outcomes. We examined the association between smoking status and total CVD and CVD subtypes, including fatal and nonfatal coronary heart disease, stroke, congestive heart failure, and other CVD deaths. We performed (1) modified Kaplan-Meier analysis to estimate long-term risks, (2) adjusted competing Cox models to estimate joint cumulative risks for CVD or noncardiovascular death, and (3) Irwin's restricted mean to estimate years lived free from and with CVD. Of 106 165 adults, 50.4% were women. Overall long-term risks for CVD events were 46.0% (95% CI, 44.7-47.3) and 34.7% (95% CI, 33.3-36.0) in middle-aged men and women, respectively. In middle-aged men who reported smoking compared with those who did not smoke, competing hazard ratios (HRs) were higher for the first presentation being a fatal CVD event (HR, 1.79 [95% CI, 1.68-1.92]), with a similar pattern among women (HR,1.82 [95% CI, 1.68-1.98]). Smoking was associated with earlier CVD onset by 5.1 and 3.8 years in men and women. Similar patterns were observed in younger and older adults. Conclusions Current smoking was associated with a fatal event as the first manifestation of clinical CVD.

Importance: Low-density lipoprotein cholesterol (LDL-C) is a major risk factor for cardiovascular disease (CVD). Most observational studies on the association between LDL-C and CVD have focused on LDL-C level at a single time point (usually in middle or older age), and few studies have characterized long-term exposures to LDL-C and their role in CVD risk., Objective: To evaluate the associations of cumulative exposure to LDL-C, time-weighted average (TWA) LDL-C, and the LDL-C slope change during young adulthood and middle age with incident CVD later in life., Design, Setting, and Participants: This cohort study analyzed pooled data from 4 prospective cohort studies in the US (Atherosclerosis Risk in Communities Study, Coronary Artery Risk Development in Young Adults Study, Framingham Heart Study Offspring Cohort, and Multi-Ethnic Study of Atherosclerosis). Participants were included if they had 2 or more LDL-C measures that were at least 2 years apart between ages 18 and 60 years, with at least 1 of the LDL-C measures occurring during middle age at 40 to 60 years. Data from 1971 to 2017 were collected and analyzed from September 25, 2020, to January 10, 2021., Exposures: Cumulative exposure to LDL-C, TWA LDL-C, and LDL-C slope from age 18 to 60 years., Main Outcomes and Measures: Incident coronary heart disease (CHD), ischemic stroke, and heart failure (HF)., Results: A total of 18 288 participants were included in this study. These participants had a mean (SD) age of 56.4 (3.7) years and consisted of 10 309 women (56.4%). During a median follow-up of 16 years, 1165 CHD, 599 ischemic stroke, and 1145 HF events occurred. In multivariable Cox proportional hazards regression models that adjusted for the most recent LDL-C level measured during middle age and for other CVD risk factors, the hazard ratios for CHD were as follows: 1.57 (95% CI, 1.10-2.23; P for trend = .01) for cumulative LDL-C level, 1.69 (95% CI, 1.23-2.31; P for trend <.001) for TWA LDL-C level, and 0.88 (95% CI, 0.69-1.12; P for trend = .28) for LDL-C slope. No association was found between any of the LDL-C variables and ischemic stroke or HF., Conclusions and Relevance: This cohort study showed that cumulative LDL-C and TWA LDL-C during young adulthood and middle age were associated with the risk of incident CHD, independent of midlife LDL-C level. These findings suggest that past levels of LDL-C may inform strategies for primary prevention of CHD and that maintaining optimal LDL-C levels at an earlier age may reduce the lifetime risk of developing atherosclerotic CVD.

Background: Lower exercise capacity, as measured by 6-minute walk distance (6MWD), is associated with incident heart failure (HF). Among those without HF, the associations of measures of cardiac function with 6MWD are unclear, and may provide insight regarding the risk of incident HF., Objectives: The purpose of this study was to understand the relationships between cardiac function and exercise capacity., Methods: This study evaluated the associations of cardiac mechanics with 6MWD in the sixth examination of the Multi-Ethnic Study of Atherosclerosis. Echocardiography (2-dimensional, Doppler, and speckle-tracking) was performed at rest and after passive leg raise to evaluate functional reserve after intravascular volume challenge., Results: Of 2,096 participants without HF (mean age 73 years, 48% men, 58% non-White), individuals with lower (worse) left atrial (LA) reservoir strain were older and had higher blood pressure. Lower resting LA reservoir strain (β coefficient per SD decrease: -5.0; 95% confidence interval [CI]: -8.8 to -1.3 m; p = 0.009), inability to augment LA reservoir strain after passive leg raise (β coefficient per SD decrease: -5.8; 95% CI: -9.1 to -2.5 m; p < 0.001), and lower right atrial reservoir strain (β coefficient per SD decrease: -4.4; 95% CI: -7.8 to -1.1 m; p = 0.01) were associated with shorter 6MWD. Worse left ventricular (LV) diastolic function was also associated with lower 6MWD. There were no independent associations of measures of LV systolic function (global longitudinal strain, circumferential strain, ejection fraction) with 6MWD., Conclusions: Among individuals without HF, worse biatrial function, lack of LA functional reserve, and worse LV diastolic function were associated with reduced submaximal exercise capacity. Therapies aimed to improve these functional domains may increase exercise capacity and prevent HF., Competing Interests: Funding Support and Author Disclosures This research was supported by contracts 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D00006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, and N01-HC-95169 from the National Heart, Lung, and Blood Institute; by grants KL2TR001424, UL1-TR-000040, UL1-TR-001079, and UL1-TR-001420 from the National Center for Advancing Translational Sciences; and by grants R01 HL127028, R01 HL127659, and R01 AG18915 from the National Institutes of Health. Dr. Shah has received research grants from Actelion, AstraZeneca, Corvia, Novartis, and Pfizer; and has received consulting fees from Abbott, Actelion, AstraZeneca, Amgen, Axon Therapies, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, Cardiora, CVRx, Cytokinetics, Eisai, GlaxoSmithKline, Ionis, Ironwood, Lilly, Merck, MyoKardia, Novartis, Novo Nordisk, Pfizer, Sanofi, Shifamed, Tenax, and United Therapeutics. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

DNA methylation (DNAm)-based biological age (epigenetic age) has been suggested as a useful biomarker of age-related conditions including type 2 diabetes (T2D), and its newest iterations (GrimAge measurements) have shown early promise. In this study, we explored the association between epigenetic age and incident T2D in the context of their relationships with obesity. A total of 1,057 participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study were included in the current analyses. We stratified the participants into three groups: normal weight, overweight, and obese. A 1-year increase of GrimAge was associated with higher 10-year (study years 15-25) incidence of T2D (odds ratio [OR] 1.06, 95% CI 1.01-1.11). GrimAge acceleration, which represents the deviation of GrimAge from chronological age, was derived from the residuals of a model of GrimAge and chronological age, and any GrimAge acceleration (positive GrimAA: having GrimAge older than chronological age) was associated with significantly higher odds of 10-year incidence of T2D in obese participants (OR 2.57, 95% CI 1.61-4.11). Cumulative obesity was estimated by years since obesity onset, and GrimAge partially mediated the statistical association between cumulative obesity and incident diabetes or prediabetes (proportion mediated = 8.0%). In conclusion, both older and accelerated GrimAge were associated with higher risk of T2D, particularly among obese participants. GrimAge also statistically mediated the associations between cumulative obesity and T2D. Our findings suggest that epigenetic age measurements with DNAm can potentially be used as a risk factor or biomarker associated with T2D development., (© 2021 by the American Diabetes Association.)

Importance: High blood pressure (BP) during sleep (asleep blood pressure) is associated with an increased risk of cardiovascular disease, but a national prevalence estimate of masked asleep hypertension (high BP while sleeping but without high BP measured in the clinic [clinic BP]) for the United States is lacking., Objectives: To estimate the prevalence of masked asleep hypertension among US adults by using BP thresholds from the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC7) and the 2017 American College of Cardiology-American Heart Association (ACC-AHA) BP guidelines., Design, Setting, and Participants: This cohort analysis pooled data from 3000 participants in 4 US population-based studies that conducted 24-hour ambulatory BP monitoring (ABPM) and 17 969 participants in the 2011-2016 National Health and Nutrition Examination Survey (NHANES) without ABPM. Masked asleep hypertension status in NHANES was imputed using a 2-stage multiple imputation process. Data were collected from 2000 to 2016 and analyzed from March 4, 2019, to June 29, 2020., Main Outcomes and Measures: High clinic BP was defined as clinic systolic BP (SBP)/diastolic BP (DBP) of at least 140/90 mm Hg using JNC7 and at least 130/80 mm Hg using 2017 ACC-AHA guidelines. High asleep BP was defined as mean asleep SBP/DBP of at least 120/70 mm Hg for JNC7 and at least 110/65 mm Hg for the 2017 ACC-AHA guidelines. Masked asleep hypertension was defined as high asleep BP without high clinic BP., Results: For the 3000 pooled cohort participants, the mean (SD) age was 52.0 (12.0) years, and 62.6% were women. For the 17 969 NHANES participants, the mean (SD) age was 46.7 (17.5) years, and 51.8% (weighted) were women. The estimated prevalence of masked asleep hypertension among US adults was 18.8% (95% CI, 16.7%-20.8%; 44.4 million US adults) using the JNC7 guideline and 22.7% (95% CI, 20.6%-24.8%; 53.7 million US adults) using the 2017 ACC-AHA guideline criteria. The prevalence of masked asleep hypertension was higher among older adults (aged ≥65 years, 24.4% [95% CI, 20.7%-28.0%]), men (27.0% [95% CI, 24.1%-29.9%]), non-Hispanic Black individuals (28.7% [95% CI, 25.4%-32.0%]), those who were taking antihypertensives (24.4% [95% CI, 21.1%-27.8%]), those who had masked daytime hypertension (44.7% [95% CI, 40.1%-49.3%]), and those with diabetes (27.6% [95% CI, 23.5%-31.8%]), obesity (24.3% [95% CI, 21.8%-26.9%]), or chronic kidney disease (21.5% [95% CI, 17.3%-25.6%]) using the 2017 ACC-AHA guideline. An estimated 11.9% of US adults (28.2 million) had isolated masked asleep hypertension (masked asleep hypertension but without high awake BP) using JNC7 guideline criteria, as did an estimated 13.3% (31.5 million) using 2017 ACC-AHA guideline criteria., Conclusions and Relevance: These findings suggest that the prevalence of masked asleep hypertension is high among US adults. Data are needed on the cardiovascular risk reduction benefits of treating asleep hypertension.

Background Better cardiovascular health (CVH) scores are associated with lower risk of cardiovascular disease (CVD). However, estimates of the potential population-level impact of improving CVH on US CVD event rates are not currently available. Methods and Results Using data from the National Health and Nutrition Examination Survey 2011 to 2016 (n=11 696), we estimated the proportions of US adults in CVH groups. Levels of 7 American Heart Association CVH metrics were scored as ideal (2 points), intermediate (1 point), or poor (0 points), and summed to define overall CVH (low, 0-8 points; moderate, 9-11 points; or high, 12-14 points). Using individual-level data from 7 US community-based cohort studies (n=30 447), we estimated annual incidence rates of major CVD events by levels of CVH. Using the combined data sources, we estimated population attributable fractions of CVD and the number of CVD events that could be prevented annually if all US adults achieved high CVH. High CVH was identified in 7.3% (95% CI, 6.3%-8.3%) of US adults. We estimated that 70.0% (95% CI, 56.5%-79.9%) of CVD events were attributable to low and moderate CVH. If all US adults attained high CVH, we estimated that 2.0 (95% CI, 1.6-2.3) million CVD events could be prevented annually. If all US adults with low CVH attained moderate CVH, we estimated that 1.2 (95% CI, 1.0-1.4) million CVD events could be prevented annually. Conclusions The potential benefits of achieving high CVH in all US adults are considerable, and even a partial improvement in CVH scores would be highly beneficial.

Background: Race- and sex-specific differences in heart failure (HF) risk may be related to differential burden and effect of risk factors. We estimated the population attributable fraction (PAF), which incorporates both prevalence and excess risk of HF associated with each risk factor (obesity, hypertension, diabetes, current smoking, and hyperlipidemia), in specific race-sex groups., Methods: A pooled cohort was created using harmonized data from 6 US longitudinal population-based cohorts. Baseline measurements of risk factors were used to determine prevalence. Relative risk of incident HF was assessed using a piecewise constant hazards model adjusted for age, education, other modifiable risk factors, and the competing risk of death from non-HF causes. Within each race-sex group, PAF of HF was estimated for each risk factor individually and for all risk factors simultaneously., Results: Of 38 028 participants, 55% were female and 22% Black. Hypertension had the highest PAF among Black men (28.3% [95% CI, 18.7%-36.7%]) and women (25.8% [95% CI, 16.3%-34.2%]). In contrast, PAF associated with obesity was the highest in White men (21.0% [95% CI, 14.6%-27.0%]) and women (17.9% [95% CI, 12.8%-22.6%]). Diabetes disproportionately contributed to HF in Black women (PAF, 16.4% [95% CI, 12.7%-19.9%]). The cumulative PAF of all 5 risk factors was the highest in Black women (51.9% [95% CI, 39.3%-61.8%])., Conclusions: The observed differences in contribution of risk factors across race-sex groups can inform tailored prevention strategies to mitigate disparities in HF burden. This novel competing risk analysis suggests that a sizeable proportion of HF risk may not be associated with modifiable risk factors.

Background Given the increasing prevalence of diabetes mellitus (DM) in the United States, estimating the effects of population-level increases in obesity on incident DM has substantial implications for public health policy. Therefore, we determined the population attributable fraction, which accounts for the prevalence and excess risk of DM associated with obesity. Methods and Results We included non-Hispanic White, non-Hispanic Black, and Mexican American participants without DM at baseline from MESA (Multi-Ethnic Study of Atherosclerosis) with available data on body mass index and key covariates from 2000 to 2017 to calculate unadjusted and adjusted (age, study site, physical activity, diet, income, and education level) hazard ratios (HR) for obesity-attributable DM. We calculated national age-adjusted prevalence estimates for obesity using data from NHANES (National Health and Nutrition Examination Survey) in 4 pooled cycles (2001-2016) among adults with similar characteristics to MESA participants. Last, we calculated unadjusted and adjusted population attributable fractions from the race/ethnic and sex-specific HR and prevalence estimates. Of 4200 MESA participants, the median age was 61 years, 46.8% were men, 53.9% were non-Hispanic White, 32.9% were non-Hispanic Black, and 13.3% were Mexican. Among MESA participants, incident DM occurred in 11.6% over a median follow-up of 9.2 years. The adjusted HR for obesity-related DM was 2.7 (95% CI, 2.2-3.3). Adjusted population attributable fractions were 0.35 (95% CI, 0.29-0.40) in 2001 to 2004 and 0.41 (95% CI, 0.36-0.46) in 2013 to 2016, and greatest among non-Hispanic White women. Conclusions The contribution of obesity towards DM in the population remains substantial and varies significantly by race/ethnicity and sex, highlighting the need for tailored public health interventions to reduce obesity. Registration URL: https://www.clinicaltrials.gov; Unique identifiers: NC00005487, NCT00005154.

Background: Although FGF23 (fibroblast growth factor 23) is associated with heart failure and atrial fibrillation, the mechanisms driving these associations are unclear. Sensitive measures of cardiovascular structure and function may provide mechanistic insight behind the associations of FGF23 with various cardiovascular diseases., Methods: In MESA (the Multi-Ethnic Study of Atherosclerosis), we evaluated the associations of baseline serum FGF23 (2000-2002) with measures of left ventricular (LV) and left atrial mechanical function on cardiac magnetic resonance at 10-year follow-up (2010-2012)., Results: Of 2276 participants with available FGF23 and cardiac magnetic resonance at 10-year follow-up, participants with higher FGF23 levels were more likely White race, taking antihypertensive medications, and had lower kidney function. After covariate adjustment, FGF23 was associated with higher LV mass (β coefficient per 1 SD higher, 1.14 [95% CI, 0.16-2.12], P =0.02), worse LV global circumferential strain (β coefficient per 1 SD higher, 0.15 [95% CI, 0.05-0.25], P =0.003), worse LV midwall circumferential strain (β coefficient per 1 SD higher, 0.20 [95% CI, 0.08-0.31], P =0.001), and lower left atrial total emptying fraction (β coefficient per 1 SD higher, -0.52 [95% CI, -1.02 to -0.02], P =0.04). These associations were consistent across racial/ethnic groups and the spectrum of glomerular filtration rates. FGF23 was not associated with the presence of myocardial scar (odds ratio per 1 SD higher, 1.12 [95% CI, 0.86-1.45], P =0.42)., Conclusions: In a multiethnic, community-based cohort, baseline FGF23 levels were independently associated with higher LV mass, lower LV systolic function, and reduced left atrial function over long-term follow-up. These findings provide potential mechanistic insight into associations of FGF23 with incident heart failure and atrial fibrillation.

Background: Whether cardiovascular (CV) disease risk factors and biomarkers associate differentially with heart failure (HF) risk in men and women is unclear., Objectives: The purpose of this study was to evaluate sex-specific associations of CV risk factors and biomarkers with incident HF., Methods: The analysis was performed using data from 4 community-based cohorts with 12.5 years of follow-up. Participants (recruited between 1989 and 2002) were free of HF at baseline. Biomarker measurements included natriuretic peptides, cardiac troponins, plasminogen activator inhibitor-1, D-dimer, fibrinogen, C-reactive protein, sST2, galectin-3, cystatin-C, and urinary albumin-to-creatinine ratio., Results: Among 22,756 participants (mean age 60 ± 13 years, 53% women), HF occurred in 2,095 participants (47% women). Age, smoking, type 2 diabetes mellitus, hypertension, body mass index, atrial fibrillation, myocardial infarction, left ventricular hypertrophy, and left bundle branch block were strongly associated with HF in both sexes (p < 0.001), and the combined clinical model had good discrimination in men (C-statistic = 0.80) and in women (C-statistic = 0.83). The majority of biomarkers were strongly and similarly associated with HF in both sexes. The clinical model improved modestly after adding natriuretic peptides in men (ΔC-statistic = 0.006; likelihood ratio chi-square = 146; p < 0.001), and after adding cardiac troponins in women (ΔC-statistic = 0.003; likelihood ratio chi-square = 73; p < 0.001)., Conclusions: CV risk factors are strongly and similarly associated with incident HF in both sexes, highlighting the similar importance of risk factor control in reducing HF risk in the community. There are subtle sex-related differences in the predictive value of individual biomarkers, but the overall improvement in HF risk estimation when included in a clinical HF risk prediction model is limited in both sexes., (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)

Importance: Cross-sectional measures of cardiovascular health (CVH) have been associated with cardiovascular disease in older age, but little is known about longitudinal trajectories in CVH and their association with subclinical atherosclerosis in middle age., Objectives: To model long-term patterns in CVH starting in childhood and to assess their association with subclinical atherosclerosis in middle age., Design, Setting, and Participants: This cohort study used data from 5 prospective cardiovascular cohort studies from the United States and Finland from 1973 to 2015. A total of 9388 participants aged 8 to 55 years had at least 3 examinations and were eligible for this study. Statistical analysis was performed from December 1, 2015, to June 1, 2019., Exposures: Clinical CVH factors (body mass index, total cholesterol level, blood pressure, and glucose level) were classified as ideal, intermediate, or poor, and were summed as a clinical CVH score. Group-based latent class modeling identified trajectories in this score over time., Main Outcomes and Measures: Carotid intima-media thickness (cIMT) was measured for participants in 3 cohorts, and high cIMT was defined as a value at or above the 90th percentile. The association between CVH trajectory and cIMT was modeled using both linear and logistic regression adjusted for demographics, baseline health behaviors, and baseline (or proximal) CVH score., Results: Among 9388 participants (5146 [55%] female; 6228 [66%] white; baseline mean [SD] age, 17.5 [7.5] years), 5 distinct trajectory groups were identified: high-late decline (1518 participants [16%]), high-moderate decline (2403 [26%]), high-early decline (3066 [32%]), intermediate-late decline (1475 [16%]), and intermediate-early decline (926 [10%]). The high-late decline group had significantly lower adjusted cIMT vs other trajectory groups (high-late decline: 0.64 mm [95% CI, 0.63-0.65 mm] vs intermediate-early decline: 0.72 mm [95% CI, 0.69-0.75 mm] when adjusted for demographics and baseline smoking, diet, and physical activity; P < .01). The intermediate-early declining group had higher odds of high cIMT (odds ratio, 2.4; 95% CI, 1.3-4.5) compared with the high-late decline group, even after adjustment for baseline or proximal CVH score., Conclusions and Relevance: In this study, CVH declined from childhood into adulthood. Promoting and preserving ideal CVH from early life onward may be associated with reduced CVD risk later in life.

Importance: Although the associations between processed meat intake and cardiovascular disease (CVD) and all-cause mortality have been established, the associations of unprocessed red meat, poultry, or fish consumption with CVD and all-cause mortality are still uncertain., Objective: To identify the associations of processed meat, unprocessed red meat, poultry, or fish intake with incident CVD and all-cause mortality., Design, Setting, and Participants: This cohort study analyzed individual-level data of adult participants in 6 prospective cohort studies in the United States. Baseline diet data from 1985 to 2002 were collected. Participants were followed up until August 31, 2016. Data analyses were performed from March 25, 2019, to November 17, 2019., Exposures: Processed meat, unprocessed red meat, poultry, or fish intake as continuous variables., Main Outcomes and Measures: Hazard ratio (HR) and 30-year absolute risk difference (ARD) for incident CVD (composite end point of coronary heart disease, stroke, heart failure, and CVD deaths) and all-cause mortality, based on each additional intake of 2 servings per week for monotonic associations or 2 vs 0 servings per week for nonmonotonic associations., Results: Among the 29 682 participants (mean [SD] age at baseline, 53.7 [15.7] years; 13 168 [44.4%] men; and 9101 [30.7%] self-identified as non-white), 6963 incident CVD events and 8875 all-cause deaths were adjudicated during a median (interquartile range) follow-up of 19.0 (14.1-23.7) years. The associations of processed meat, unprocessed red meat, poultry, or fish intake with incident CVD and all-cause mortality were monotonic (P for nonlinearity ≥ .25), except for the nonmonotonic association between processed meat intake and incident CVD (P for nonlinearity = .006). Intake of processed meat (adjusted HR, 1.07 [95% CI, 1.04-1.11]; adjusted ARD, 1.74% [95% CI, 0.85%-2.63%]), unprocessed red meat (adjusted HR, 1.03 [95% CI, 1.01-1.06]; adjusted ARD, 0.62% [95% CI, 0.07%-1.16%]), or poultry (adjusted HR, 1.04 [95% CI, 1.01-1.06]; adjusted ARD, 1.03% [95% CI, 0.36%-1.70%]) was significantly associated with incident CVD. Fish intake was not significantly associated with incident CVD (adjusted HR, 1.00 [95% CI, 0.98-1.02]; adjusted ARD, 0.12% [95% CI, -0.40% to 0.65%]). Intake of processed meat (adjusted HR, 1.03 [95% CI, 1.02-1.05]; adjusted ARD, 0.90% [95% CI, 0.43%-1.38%]) or unprocessed red meat (adjusted HR, 1.03 [95% CI, 1.01-1.05]; adjusted ARD, 0.76% [95% CI, 0.19%-1.33%]) was significantly associated with all-cause mortality. Intake of poultry (adjusted HR, 0.99 [95% CI, 0.97-1.02]; adjusted ARD, -0.28% [95% CI, -1.00% to 0.44%]) or fish (adjusted HR, 0.99 [95% CI, 0.97-1.01]; adjusted ARD, -0.34% [95% CI, -0.88% to 0.20%]) was not significantly associated with all-cause mortality., Conclusions and Relevance: These findings suggest that, among US adults, higher intake of processed meat, unprocessed red meat, or poultry, but not fish, was significantly associated with a small increased risk of incident CVD, whereas higher intake of processed meat or unprocessed red meat, but not poultry or fish, was significantly associated with a small increased risk of all-cause mortality. These findings have important public health implications and should warrant further investigations.

Background: Staging criteria for heart failure (HF) range from stage 0 (without risk) to being at risk (stage A) to presence of cardiac structural/functional abnormalities (stage B) to symptomatic/end stage (stages C/D). There are limited data on the prevalence of these stages in early adulthood and predictors of HF stage and symptoms in middle age., Methods and Results: The CARDIA study (Coronary Artery Risk Development in Young Adults)-a cohort of generally healthy black and white men and women-collected phenotypic, echocardiographic, and outcomes data at the year 5 and year 30 examinations when participants were 22 to 37 and 47 to 62 years of age. Prevalence of HF stages was calculated and relationship of year 5 stage to year 30 classification and outcomes was assessed. At year 5, 2189 participants had complete data. Prevalence of HF stage A/B increased from 24% to 76% in black men, from 13% to 64% in white men, from 34% to 81% in black women, and from 13% to 56% in white women. Blacks were more likely to be in any stage or with morbidity at both time points because of higher risk factor prevalence. Of 33 participants with HF or HF deaths by year 30, 21 (64%) had been in stage A or B at year 5. Only 6 participants at year 5 in stage A (at risk) improved risk status at year 30., Conclusions: Risk for HF increased in participants from 1990 (age 22-37 years) to 2015 (age 47-62 years). Symptomatic HF or death from HF is associated with HF stage at 22 to 37 years of age. Blacks are disproportionately affected.