Implementation of the International Consortium of Health Outcomes Measurement CHD standard set in patients undergoing pulmonary valve replacement.

BACKGROUND: Despite the burden of CHD, a high cost and utilization condition, an implementation of long-term outcome measures is lacking. The objective of this study is to pilot the implementation of the International Consortium of Health Outcomes Measurement CHD standard set in patients undergoing pulmonary valve replacement, a procedure performed in mostly well patients with diverse CHD. METHODS: Patients ≥ 8 years old undergoing catheterization-based pulmonary valve replacement were approached via various approaches for patient-reported outcomes, with a follow-up assessment at 3 months post-procedure. Implementation strategy analysis was performed via a hybrid type 2 design. RESULTS: Of the 74 patients undergoing pulmonary valve replacement, 32 completed initial patient-reported outcomes with variable response rates by strategy (email and in-person explanation 100%, email only 54%, and email followed by text/call 64%). Ages ranged 8-67 years (mean 30). Pre-procedurally, 34% had symptomatic arrhythmias, which improved post-procedure. For those in school, 43% missed ≥ 6 days per year, and over half had work absenteeism. Financial concerns were reported in 34%. Patients reported high satisfaction with life (50% [n = 16]) and health-related quality of life (90% [n = 26]). Depression symptoms were reported in 84% (n = 27) and anxiety in 62.5% (n = 18), with tendency towards improvement post-procedurally. CONCLUSION: Pilot implementation of the International Consortium of Health Outcomes Measurement CHD standard set in pulmonary valve replacement patients reveals a significant burden of disease not previously reported. Barriers to the implementation include a sustainable, automated system for patient-reported outcome collection and infrastructure to assess in real time. This provides an example of implementing cardiac outcomes set in clinical practice.

Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study.

OBJECTIVE: Changes in cardiovascular health (CVH) during the life course are associated with future cardiovascular disease (CVD). Longitudinal clustering analysis using subgraph augmented non-negative matrix factorization (SANMF) could create phenotypic risk profiles of clustered CVH metrics. MATERIALS AND METHODS: Life's Essential 8 (LE8) variables, demographics, and CVD events were queried over 15 ears in 5060 CARDIA participants with 18 years of subsequent follow-up. LE8 subgraphs were mined and a SANMF algorithm was applied to cluster frequently occurring subgraphs. K-fold cross-validation and diagnostics were performed to determine cluster assignment. Cox proportional hazard models were fit for future CV event risk and logistic regression was performed for cluster phenotyping. RESULTS: The cohort (54.6% female, 48.7% White) produced 3 clusters of CVH metrics: Healthy & Late Obesity (HLO) (29.0%), Healthy & Intermediate Sleep (HIS) (43.2%), and Unhealthy (27.8%). HLO had 5 ideal LE8 metrics between ages 18 and 39 years, until BMI increased at 40. HIS had 7 ideal LE8 metrics, except sleep. Unhealthy had poor levels of sleep, smoking, and diet but ideal glucose. Race and employment were significantly different by cluster (P < .001) but not sex (P = .734). For 301 incident CV events, multivariable hazard ratios (HRs) for HIS and Unhealthy were 0.73 (0.53-1.00, P = .052) and 2.00 (1.50-2.68, P < .001), respectively versus HLO. A 15-year event survival was 97.0% (HIS), 96.3% (HLO), and 90.4% (Unhealthy, P < .001). DISCUSSION AND CONCLUSION: SANMF of LE8 metrics identified 3 unique clusters of CVH behavior patterns. Clustering of longitudinal LE8 variables via SANMF is a robust tool for phenotypic risk assessment for future adverse cardiovascular events.

What interventions keep older people out of nursing homes? A systematic review and meta-analysis.

BACKGROUND: Nursing home admission remains a central outcome in many healthcare systems and community-based programs. The objective of this meta-analysis was to determine the efficacy of pharmacological and nonpharmacological interventions in preventing nursing home admission for adults aged 65 years or older. METHODS: MEDLINE, EMBASE, PsycInfo, CINAHL, and the Cochrane Library were all last searched in March 2022 to identify up-to-date eligible studies for the meta-analysis. Two reviewers screened each abstract independently. In instances where reviewers disagreed as to inclusion, all reviewers convened to review the Abstract to come to a consensus decision regarding inclusion. Two reviewers independently collected data from each report. Disagreements were resolved using group consensus. The first author reviewed the narrative descriptions of intervention components to create a categorization scheme for the various interventions evaluated in selected studies. These categorizations were reviewed with the co-authors (second-fifth) and collapsed to create the final classification of intervention type. Study risk of bias was assessed using an instrument developed based on Agency for Healthcare Research & Quality (AHRQ) guidance. Differences between the percentages of participants in treatment versus control arms was the outcome of interest. RESULTS: Two-hundred and eighty-three studies with a total of 203,735 older persons were included in the meta-analysis. Specialty geriatrics care (OR = 0.77, 95% CI, 0.60-0.99), multicomponent interventions (OR = 0.82, 95% CI, 0.67-0.99), and cognitive stimulation (OR = 0.60, 95% CI, 0.38-0.96) were associated with less frequent nursing home admission. Home-based and inpatient/discharge management interventions approached statistical significance but were not associated with reduced institutionalization. CONCLUSIONS: Even in the face of complex care needs, older adults wish to live at home. Effectively disseminating and implementing geriatric care principles across healthcare encounters could achieve a highly valued and preferred outcome in older adulthood: aging in place.

Life Course Cardiovascular Health: Risk Factors, Outcomes, and Interventions.

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.

Procedure-Specific Center Volume and Mortality After Infantile Congenital Heart Surgery.

BACKGROUND: Regionalization of congenital heart surgery (CHS) has been proposed to improve postsurgical outcomes by increasing experience in the care of high-risk patients. We sought to determine whether procedure-specific center volume was associated with mortality after infantile CHS up to 3 years post-procedure. METHODS: We analyzed data from 12,263 infants in the Pediatric Cardiac Care Consortium undergoing CHS between 1982 and 2003 at 46 centers within the United States. We used logistic regression to assess the association between procedure-specific center volume and mortality from discharge to 3 years post-procedure, accounting for clustering at the center level and adjusting for patient age and weight at surgery, chromosomal abnormality, and surgical era. RESULTS: We found decreased odds for in-hospital mortality for Norwood procedures (odds ratio [OR] 0.955, 95% CI 0.935-0.976), arterial switch operations (OR 0.924, 95% CI 0.889-0.961), tetralogy of Fallot repairs (OR 0.975, 95% CI 0.956-0.995), Glenn shunts (OR 0.971, 95% CI 0.943-1.000), and ventricular septal defect closures (OR 0.974, 95% CI 0.964-0.985). The association persisted up to 3 years post-surgery for Norwood procedures (OR 0.971, 95% CI 0.955-0.988), arterial switches (OR 0.929, 95% CI 0.890-0.970), and ventricular septal defect closures (OR 0.986, 95% CI 0.977-0.995); however, after excluding deaths that occurred within the first 90 days of following surgery, we observed no association between center volume and mortality for any of the procedures studied. CONCLUSIONS: These findings suggest that procedure-specific center volume is inversely associated with early postoperative mortality for infantile CHS across the complexity spectrum but has no measurable effect on later mortality.

Cardiovascular health trajectories from age 2-12: a pediatric electronic health record study.

PURPOSE: Many children have non-ideal cardiovascular health (CVH), but little is known about the course of CVH in early childhood. We identified CVH trajectories in children and assess the generalizability of these trajectories in an external sample. METHODS: We used data spanning 2010-2018 from children aged 2-12 years within the Chicago Area Patient-Centered Outcomes Research Network-an electronic health record network. Four clinical systems comprised the derivation sample and a fifth the validation sample. Body mass index, blood pressure, cholesterol, and blood glucose were categorized as ideal, intermediate, and poor using clinical measurements, laboratory readings, and International Classification of Diseases diagnosis codes and summed for an overall CVH score. Group-based trajectory modeling was used to create CVH score trajectories which were assessed for classification accuracy in the validation sample. RESULTS: Using data from 122,363 children (47% female, 47% non-Hispanic White) three trajectories were identified: 59.5% maintained high levels of clinical CVH, 23.4% had high levels of CVH that declined, and 17.1% had intermediate levels of CVH that further declined with age. A similar classification emerged when the trajectories were fitted in the validation sample. CONCLUSIONS: Stratification of CVH was present by age 2, implicating the need for early life and preconception prevention strategies.

Long-Term Risk of Heart Failure-Related Death and Heart Transplant After Congenital Heart Surgery in Childhood (from the Pediatric Cardiac Care Consortium).

We aimed to describe the longitudinal risk of advanced heart failure (HF) leading to death, heart transplantation, or ventricular assist device (VAD) placement after congenital heart surgery (CHS) and how it varies across the spectrum of congenital heart disease. We linked the records of patients who underwent first CHS in the Pediatric Cardiac Care Consortium between 1982 and 2003 with the United States National Death Index and Organ Procurement and Transplantation Network databases. Primary outcome was time from CHS discharge to HF-related death, heart transplant, or VAD placement, analyzed with proportional hazards models accounting for competing mortality. In 35,610 patients who survived a first CHS, there were 799 HF deaths, transplants, or VADs over a median of 23 years (interquartile range, 19 to 27). Cumulative incidence at 25 years was 2.3% (95% confidence interval [CI] 2.1% to 2.4%). Compared to mild 2-ventricle defects, the adjusted subhazard ratio for moderate and severe 2-ventricle defects was 3.21 (95% CI 2.28 to 4.52) and 9.46 (95% CI 6.71 to 13.3), respectively, and for single-ventricle defects 31.8 (95% CI 22.2 to 45.6). Systemic right ventricle carried the highest risk 2 years after CHS (subhazard ratio 2.76 [95% CI 2.08 to 3.68]). All groups had higher rates of HF-related death compared with the general population (cause-specific standardized mortality ratio 56.1 [95% CI 51.0 to 61.2]). In conclusion, the risk of advanced HF leading to death, transplantation, or VAD was high across the spectrum of congenital heart disease. While severe defects carry the highest risk, those with mild disease are still at greater risk than the general population.

Racial differences in the association of accelerated aging with future cardiovascular events and all-cause mortality: the coronary artery risk development in young adults study, 2007-2018.

OBJECTIVE: Variability of Cardiovascular disease (CVD) risk, including racial difference, is not fully accounted for by the variability of traditional CVD risk factors. We used a multiple biomarker model as a framework to explore known racial differences in CVD burden. DESIGN: We measured associations between accelerated aging (AccA) measured by a combination of biomarkers, and cardiovascular morbidity and all-cause mortality using data from the Coronary Artery Risk Development in Young Adults study (CARDIA). AccA was defined as the difference between biological age, calculated using biomarkers with the Klemera and Doubal method, and chronological age. Using logistic regression, we assessed overall and race-specific associations between AccA, CVD, and all-cause mortality. RESULTS: Among our cohort of 2959 Black or White middle-aged adults, after adjustment, a one-year increase in AccA was associated with increased odds of CVD (Odds Ratio (OR) = 1.04; 95% CI: 1.02, 1.06), stroke (OR = 1.12; 95% CI: 1.07, 1.17), and all-cause mortality (OR = 1.05; 95% CI: 1.02, 1.08). We did not find significant overall racial differences, but we did find race by sex differences where Black men differed markedly from White men in the strength of association with CVD (OR = 1.06, 95% CI: 1.01, 1.12). CONCLUSIONS: We provide evidence that AccA is associated with future CVD.

Remote activity monitoring for family caregivers of persons living with dementia: a mixed methods, randomized controlled evaluation.

BACKGROUND: The goal of the present study was to determine whether a remote activity monitoring (RAM) system benefited caregivers who aided relatives with Alzheimer's disease or related dementias (ADRD) living at home. We hypothesized that over 18 months, families randomly assigned to receive RAM technology in the home of the person with ADRD would experience statistically significant (p < .05): 1) improvements in caregiver self-efficacy and sense of competence when managing their relative's dementia; and 2) reductions in caregiver distress (e.g., burden, role captivity, and depression). METHODS: An embedded mixed methods design was utilized, where 179 dementia caregivers were randomly assigned to receive RAM or not. Caregivers were surveyed bi-annually over an 18-month period to collect quantitative and qualitative data on RAM's effects. Semi-structured interviews with 30 caregivers were completed following the 18-month data collection period to explore more in-depth how and why RAM was perceived as helpful or not. RESULTS: Growth curve models showed no direct or moderation effect of RAM on dementia caregiver outcomes. The qualitative data revealed a complex utilization process of RAM influenced by the care environment/context as well as the temporal progression of ADRD and the caregiving trajectory. CONCLUSIONS: The findings suggest the need for developing more effective mechanisms to match appropriate technologies with the heterogeneous needs and care contexts of people living with ADRD and their caregivers. A triadic approach that incorporates professional care management alongside passive monitoring systems such as RAM may also enhance potential benefits. TRIAL REGISTRATION: ClinicalTrials.gov NCT03665909 , retrospectively registered on 11 Sept 2018.

Accelerated aging: A marker for social factors resulting in cardiovascular events?

BACKGROUND: Medicine and public health are shifting away from a purely "personal responsibility" model of cardiovascular disease (CVD) prevention towards a societal view targeting social and environmental conditions and how these result in disease. Given the strong association between social conditions and CVD outcomes, we hypothesize that accelerated aging, measuring earlier health decline associated with chronological aging through a combination of biomarkers, may be a marker for the association between social conditions and CVD. METHODS: We used data from the Coronary Artery Risk Development in Young Adults study (CARDIA). Accelerated aging was defined as the difference between biological and chronological age. Biological age was derived as a combination of 7 biomarkers (total cholesterol, HDL, glucose, BMI, CRP, FEV1/h2, MAP), representing the physiological effect of "wear and tear" usually associated with chronological aging. We studied accelerated aging measured in 2005-06 as a mediator of the association between social factors measured in 2000-01 and 1) any incident CVD event; 2) stroke; and 3) all-cause mortality occurring from 2007 through 18. RESULTS: Among 2978 middle-aged participants, mean (SD) accelerated aging was 3.6 (11.6) years, i.e., the CARDIA cohort appeared to be, on average, 3 years older than its chronological age. Accelerated aging partially mediated the association between social factors and CVD (N=219), stroke (N=36), and mortality (N=59). Accelerated aging mediated 41% of the total effects of racial discrimination on stroke after adjustment for covariates. Accelerated aging also mediated other relationships but to lesser degrees. CONCLUSION: We provide new evidence that accelerated aging based on easily measurable biomarkers may be a viable marker to partially explain how social factors can lead to cardiovascular outcomes and death.

Dementia Caregivers' Experiences and Reactions to Remote Activity Monitoring System Alerts.

Technology-based tools, including remote activity monitoring (RAM) systems, have been proposed as valuable aids for family caregivers of people with dementia. Previous analyses have shown limited effects of these systems and highlighted a number of barriers, including false alarms. We used data from an ongoing embedded mixed method randomized controlled intervention to describe patterns of alerts and their association with receipt of the RAM system and caregiver outcomes. Quantitative analyses showed a modest positive association between the number of alerts during the first month and system review score. In addition, qualitative results illustrated the importance of alert context, including utility, accuracy, and type of alert delivery. These findings highlight the relevance of early alerts to engagement with and perceived benefit from the RAM system. [Journal of Gerontological Nursing, 47(1), 13-20.].

Do Big Five Personality Traits Moderate the Effects of Stressful Life Events on Health Trajectories? Evidence From the Health and Retirement Study.

OBJECTIVES: Theory suggests that individuals with higher neuroticism have more severe negative reactions to stress, though empirical work examining the interaction between neuroticism and stressors has yielded mixed results. The present study investigated whether neuroticism and other Big Five traits moderated the effects of recent stressful life events on older adults' health outcomes. METHOD: Data were drawn from the subset of Health and Retirement Study participants who completed a Big Five personality measure (N = 14,418). We used latent growth curve models to estimate trajectories of change in depressive symptoms, self-rated physical health, and C-reactive protein levels over the course of 10 years (up to six waves). We included Big Five traits and stressful life events as covariates to test their effects on each of these three health outcomes. We examined stressful life events within domains of family, work/finances, home, and health, as well as a total count across all event types. RESULTS: Big Five traits and stressful life events were independently related to depressive symptoms and self-rated health. There were no significant interactions between Big Five traits and stressful life events. C-reactive protein levels were unrelated to Big Five traits and stressful life events. DISCUSSION: Findings suggest that personality and stressful life events are important predictors of health outcomes. However, we found little evidence that personality moderates the effect of major stressful events across a 2-year time frame. Any heightened reactivity related to high neuroticism may be time-limited to the months immediately after a major stressful event.

A Critical Approach to Aging in Place: A Case Study Comparison of Personal and Professional Perspectives from the Minneapolis Metropolitan Area.

The concept of aging in place attracts older adults, scholars, policymakers, and service providers alike. Interviews with 125 independent-dwelling men and women (mean age 71 years) and ten policymakers/community service providers queried for elements of urban and suburban contexts that strengthen or weaken desires and abilities to age in place. Overall, interviewees emphasized the need for accessible and affordable housing, reliable services, robust transportation infrastructure, and suitable options for health and care. Perspectives of low-income participants diverged notably from mainstream conceptions: those in perilous-subsidized housing desired to move to safer and more comfortable settings and homeless participants did not have a stable home or community to age in place. Planning and implementation of aging in place framed in highly individualistic, resourced, and ableist conception did not address their everyday struggles, including the lack of affordable housing and defunding of supportive social services. The manuscript complicates idealized notions of aging in place and suggests new theoretical and empirical directions to expand the concept to become more inclusive and socially just.

Transitioning to Long-Term Care: Family Caregiver Experiences of Dementia, Communities, and Counseling.

Objectives: Previous analyses of interventions targeting relationships between family caregivers of people with Alzheimer's disease and related dementias and residential long-term care (RLTC) staff showed modest associations with caregiver outcomes. This analysis aimed to better understand interpersonal and contextual factors that influence caregiver-staff relationships and identify targets for future interventions to improve these relationships. Methods: Using a parallel convergent mixed methods approach to analyze data from an ongoing counseling intervention trial, descriptive statistics characterized the sample of 85 caregivers and thematic analyses explored their experiences over 4 months. Results: The findings illustrated that communication, perceptions of care, and relationships with staff are valued by family caregivers following the transition of a relative with dementia to RLTC. Discussion: The findings deepen understanding of potential intervention targets and mechanisms. These results can inform future psychosocial and psychoeducational approaches that assist, validate, and empower family caregivers during the transition to RLTC.

The ResidentialCare Transition Module: a single-blinded randomized controlled evaluation of a telehealth support intervention for family caregivers of persons with dementia living in residential long-term care.

BACKGROUND: Families do not fully disengage from care responsibilities following relatives' admissions to residential long-term (RLTC) care settings such as nursing homes. Caregiver stress, depression, or other key outcomes remain stable or sometimes increase following a relative's RLTC entry. Some interventions have attempted to increase family involvement after institutionalization, but few rigorous studies have demonstrated whether these interventions are effective in helping families navigate the potential emotional and psychological upheaval presented by relatives' transitions to RLTC environments. The Residential Care Transition Module (RCTM) provides six formal sessions of consultation (one-to-one and family sessions) over a 4-month period to family caregivers who have admitted a relative to a RLTC setting. METHODS: In this embedded mixed methods randomized controlled evaluation, family members who have admitted a cognitively impaired relative to a RLTC setting are randomly assigned to the RCTM (n = 120) or a usual care control condition (n = 120). Primary outcomes include reductions in family members' primary subjective stress and negative mental health outcomes; secondary role strains; and residential care stress. The mixed methods design will allow for an analysis of intervention action mechanisms by "embedding" qualitative components (up to 30 semi-structured interviews) at the conclusion of the 12-month evaluation. DISCUSSION: This evaluation will fill an important clinical and research gap by evaluating a psychosocial intervention designed for families following RLTC admission that determines whether and how the RCTM can help families better navigate the emotional and psychological challenges of residential care transitions. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02915939, prospectively registered).

Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes.

The presence of missing data at the time of prediction limits the application of risk models in clinical and research settings. Common ways of handling missing data at the time of prediction include measuring the missing value and employing statistical methods. Measuring missing value incurs additional cost, whereas previously reported statistical methods results in reduced performance compared to when all variables are measured. To tackle these challenges, we introduce a new strategy, the MMTOP algorithm (Multiple models for Missing values at Time Of Prediction), which does not require measuring additional data elements or data imputation. Specifically, at model construction time, the MMTOP constructs multiple predictively equivalent risk models utilizing different risk factor sets. The collection of models are stored and to be queried at prediction time. To predict an individual's risk in the presence of incomplete data, the MMTOP selects the risk model based on measurement availability for that individual from the collection of predictively equivalent models and makes the risk prediction with the selected model. We illustrate the MMTOP with severe hypoglycemia (SH) risk prediction based on data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study. We identified 77 predictively equivalent models for SH with cross-validated c-index of 0.77 ± 0.03. These models are based on 77 distinct risk factor sets containing 12-17 risk factors. In terms of handling missing data at the time of prediction, the MMTOP outperforms all four tested competitor methods and maintains consistent performance as the number of missing variables increase.

A Web-Based Mobile App With a Smartwatch to Support Social Engagement in Persons With Memory Loss: Pilot Randomized Controlled Trial.

BACKGROUND: It is estimated that the number of individuals living with dementia worldwide will increase from 50 million in 2017 to 152 million by 2050. Assistive technology has been recognized as a promising tool to improve the lives of persons living with memory loss and their caregivers. The use of assistive technology in dementia care is expanding, although it is most often intended to manage care and promote safety. There is a lack of assistive technology designed to aid persons with memory loss in participating in meaningful activities. The Social Support Aid (SSA) is a mobile phone-based app that employs facial recognition software. It was designed to assist persons with memory loss remember the names and relationships of the people they interact with to promote social engagement. OBJECTIVE: This study uses a pilot randomized controlled trial (RCT) design to evaluate the SSA. The objectives were to ascertain (1) the feasibility and utility of the SSA, (2) whether the outcomes of SSA use suggest potential benefits for persons living with memory loss and their care partners, and (3) how study design components could inform subsequent RCTs. METHODS: Persons with memory loss were randomized to the SSA (n=20) or the usual care control group (n=28). Quantitative data were collected at three timepoints (baseline, 3 months, and 6 months). Participants in the intervention group participated in qualitative interviews following completion of their 6-month survey. RESULTS: Participant eligibility, willingness to be randomized, and retention were not barriers to conducting a full-scale RCT; however, recruitment strategies should be addressed before doing so. Feasibility and utility scores indicated that participants felt neutral about the technology. Use of the SSA was not significantly associated with changes in quality of social interactions or quality of life measures over the 6 months of follow-up (P>.05). The qualitative analysis revealed three themes that described how and why the SSA worked or not: (1) outcomes, (2) reasons why it was or was not useful, and (3) recommendations. CONCLUSIONS: There is a need to develop effective assistive technology that improves the quality of life of persons with memory loss. Assistive technology that allows persons living with memory loss to maintain some level of autonomy should be a priority for future research. This study suggests reasons why the SSA facial recognition software did not appear to improve the quality of social interaction and quality of life of people with memory loss. Results also provide recommendations for future assistive technology development and evaluation. TRIAL REGISTRATION: ClinicalTrials.gov NCT03645694; https://clinicaltrials.gov/ct2/show/NCT03645694 (Archived by WebCite at http://www.webcitation.org/78dcVZIqq).

Racial differences in weathering and its associations with psychosocial stress: The CARDIA study.

Biological age (BA) is a construct that captures accelerated biological aging attributable to "wear and tear" from various exposures; we measured BA and weathering, defined as the difference between BA and chronological age, and their associations with race and psychosocial factors in a middle-aged bi-racial cohort. We used data from the Coronary Artery Risk in Young Adults study (CARDIA), conducted in 4 U.S. cities from 1985-2016 to examine weathering for adults aged 48-60 years. We estimated BA via the Klemera and Doubal method using selected biomarkers. We assessed overall and race-specific associations between weathering and psychosocial measures. For the 2694 participants included, Blacks had a BA (SD) that was 2.6 (11.8) years older than their chronological age while the average BA among Whites was 3.5 (10.0) years younger than their chronological age (Blacks weathered 6.1 years faster than Whites). Belonging to more social groups was associated with less weathering in Blacks but not Whites, and after multivariable adjustment, lower SES and more depressive symptoms were associated with more weathering among Blacks than among Whites. We confirmed racial differences in weathering, and newly documented that similar psychosocial factors may take a greater toll on the biological health of Blacks than Whites.

Racial and sex differences in biological and chronological heart age in the Coronary Artery Risk Development in Young Adults study.

PURPOSE: Calculation of a biological heart age offers an alternative to absolute risk for characterizing cardiovascular risk by describing risk relative to an individual with normal health. We examined risk factors contributing to differences between biological and chronological heart age in young adults. METHODS: The Coronary Artery Risk Development in Young Adults study included 2264 Black and White men and women who attended examination years 10 through 25. We estimated biological heart age using the nonlaboratory-based Framingham 10-year cardiovascular disease risk calculator. Trends in risk factors were examined cross-sectionally and longitudinally. RESULTS: Biological heart ages for Black participants were 5.6 years older than their chronological ages over 15 years (P < .001). In longitudinal analyses, urinary albumin-creatinine ratio and alcohol intake were statistically significantly related to higher biological compared with chronological heart age, whereas physical activity and education were statistically significantly related to negative heart age differences (P < .001). Trends were similar in cross-sectional analyses at all time points. CONCLUSIONS: Most risk factors driving biological heart age, including race, education, physical activity, and urinary albumin-creatinine ratio, contributed to heart age differences cross-sectionally and longitudinally suggesting that risk factors related to adverse biological aging are important at younger and older ages.