The Association Between Neighborhood Social Vulnerability and Cardiovascular Health Risk Among Black/African American Women in the InterGEN Study

Racial Disparity in Length of Stay Following Implementation of a Bariatric Enhanced Recovery Program

INTRODUCTION

Enhanced Recovery Programs (ERPs) mitigate racial disparities in postoperative length of stay (LOS) for colorectal populations. It is unclear, however, if these effects exist in the bariatric surgery population. Therefore, this study aimed to evaluate the racial disparities in LOS before and after implementation of bariatric surgery ERP.

METHODS

A retrospective cohort study was performed using data from a single institution. Patients undergoing minimally invasive sleeve gastrectomy or Roux-en-Y gastric bypass from 2017 to 2019 (pre-ERP) or 2020-2022 (ERP) were included. Chi-square, Kruskal-Wallis, and analysis of variance were used to compare groups, and estimated LOS (eLOS) was assessed via multivariable regression.

RESULTS

Seven hundred sixty four patients were identified, including 363 pre-ERPs and 401 ERPs. Pre-ERP and ERP cohorts were similar in age (median 44.3 years versus 43.8 years, P = 0.80), race (53.4% Black versus 56.4% Black, P = 0.42), and preoperative body mass index (median 48.3 versus 49.4, P = 0.14). Overall median LOS following bariatric surgery decreased from 2 days pre-ERP to 1 day following ERP (P < 0.001). Average LOS for Black and White patients decreased by 0.5 and 0.48 days, respectively. However, overall eLOS remained greater for Black patients compared with White patients despite ERP implementation (eLOS 0.21 days, P = 0.01).

CONCLUSIONS

Implementation of a bariatric surgery ERP was associated with decreased LOS for both Black and White patients. However, Black patients did have slightly longer LOS than White patients in both pre-ERP and ERP eras. More work is needed to understand the driving mechanism(s) of these disparities to eliminate them.

Racial disparities among mild stroke survivors: predictors of home discharge from a retrospective analysis

BACKGROUND

Half of all strokes are classified as mild, and most mild stroke survivors are discharged home after their initial hospitalization without any post-acute rehabilitation despite experiencing cognitive, psychosocial, motor, and mobility impairments.

OBJECTIVES

To investigate the demographic and clinical characteristics of mild stroke survivors and their association with discharge location.

METHODS

This is a retrospective analysis of mild stroke survivors from 2015-2023 in an academic medical center. Demographic characteristics, clinical measures, and discharge locations were obtained from the electronic health record. The Social Vulnerability Index was used to measure the community vulnerability. Associations between variables and discharge location were examined using bivariate logistic regression analysis.

RESULTS

There were 2,953 mild stroke survivors included in this study. The majority of participants were White (65.46%), followed by Black (19.40%). Black stroke survivors and individuals with higher social vulnerability had a higher proportion of discharges to skilled nursing facilities (p = 0.001). Black patients and patients with high vulnerability in housing type and transportation were less likely to be discharged home.

CONCLUSIONS

Mild stroke survivors have a high rate of home discharge, potentially because less severe stroke symptoms have a reduced need for intensive care. Racial disparities in discharge location were evident, with Black stroke survivors experiencing higher rates of institutionalized care and lower likelihood of being discharged home compared to White counterparts, emphasizing the importance of addressing these disparities for equitable healthcare delivery and optimal outcomes.

Neighborhood Deprivation, Perceived Stress, and Pregnancy-Related Hypertension Phenotypes a Decade Following Pregnancy

BACKGROUND

Hypertensive disorders in pregnancy and other adverse pregnancy outcomes (APOs) increase the risk of developing chronic hypertension and cardiovascular disease. Perceptions of stress and neighborhood context also influence blood pressure (BP) fluctuations. We examined if APOs, higher perceived stress, and neighborhood deprivation were associated with hypertension phenotypes a decade after pregnancy in untreated individuals.

METHODS

Participants were 360 individuals who gave birth between 2008 and 2009 and participated in a research study 8-10 years following pregnancy. Standardized office and home BP readings were obtained, and we applied the AHA/ACC 2017 guidelines to identify sustained, white coat, and masked hypertension phenotypes. We measured personal stress with the perceived stress scale and neighborhood deprivation with the CDC Social Vulnerability Index.

RESULTS

Of the 38.3% (138/360) with any hypertension, 26.1% (36/138) reported a diagnosis of hypertension but were currently untreated. Sustained hypertension was the most common (17.8%), followed by masked and white coat hypertension, both 10.3%. Hypertensive disorders in pregnancy were associated with sustained (odds ratio [OR] 5.54 [95% confidence interval, CI 2.46, 12.46] and white coat phenotypes (OR 4.20 [1.66, 10.60], but not masked hypertension (OR 1.74 [0.62, 4.90]). Giving birth to a small for gestational age infant was also associated with sustained hypertension. In covariate adjusted models, perceived stress, but not neighborhood deprivation, was significantly associated with masked hypertension.

CONCLUSIONS

A decade after delivery, APOs were associated with sustained and white coat hypertension, but not masked hypertension. Exploration of the mechanisms underlying, and clinical implications of, these associations is warranted.

Importance of social vulnerability on long-term outcomes after heart transplantation

The relationship between social determinants of health and outcomes after heart transplantation has not been examined. The social vulnerability index (SVI) uses United States census data to determine the social vulnerability of every census tract based on 15 factors. This retrospective study seeks to examine the impact of SVI on outcomes after heart transplantation. Adult heart recipients who received a graft between 2012 and 2021 were stratified into SVI percentiles of <75% and SVI of ≥75%. The primary endpoint was survival. The median SVI was 48% (interquartile range: 30%-67%) among 23 700 recipients. One-year survival was similar between groups (91.4 vs 90.7%, log-rank P = .169); however, 5-year survival was lower among individuals living in vulnerable communities (74.8% vs 80.0%, P < .001). This finding persisted despite risk adjustment for other factors associated with mortality (survival time ratio 0.819, 95% confidence interval: 0.755-0.890, P < .001). The incidences of 5-year hospital readmission (81.4% vs 75.4%, P < .001) and graft rejection (40.3% vs 35.7%, P = .004) were higher among individuals living in vulnerable communities. Individuals living in vulnerable communities may be at increased risk of mortality after heart transplantation. These findings suggest there is an opportunity to focus on these recipients undergoing heart transplantation to improve survival.

Geographically varying associations between mentally unhealthy days and social vulnerability in the USA

OBJECTIVES

A growing body of research has incorporated the Social Vulnerability Index (SVI) into an expanded understanding of the social determinants of health. Although each component of SVI and its association with individual-level mental health conditions have been well discussed, variation in mentally unhealthy days (MUDs) at a county level is still unexplored. To systematically examine the geographically varying relationships between SVI and MUDs across the US counties, our study adopted two different methods: 1) aspatial regression modeling (ordinary least square [OLS]); and 2) locally calibrated spatial regression (geographically weighted regression [GWR]).

STUDY DESIGN

This study used a cross-sectional statistical design and geospatial data manipulation/analysis techniques. Analytical unit is each of the 3109 counties in the continental USA.

METHODS

We tested the model performance of two different methods and suggest using both methods to reduce potential issues (e.g., Simpson's paradox) when researchers apply aspatial analysis to spatially coded data sets. We applied GWR after checking the spatial dependence of residuals and non-stationary issues in OLS. GWR split a single OLS equation into 3109 equations for each county.

RESULTS

Among 15 SVI variables, a combination of eight variables showed the best model performance. Notably, unemployment, person with a disability, and single-parent households with children aged under 18 years especially impacted the variation of MUDs in OLS. GWR showed better model performance than OLS and specified each county's varying relationships between subcomponents of SVI and MUDs. For example, GWR specified that 69.3% (2157 of 3109) of counties showed positive relationships between single-parent households and MUDs across the USA. Higher positive relationships were concentrated in Michigan, Kansas, Texas, and Louisiana.

CONCLUSIONS

Our findings could contribute to the literature regarding social determinants of community mental health by specifying spatially varying relationships between SVI and MUDs across US counties. Regarding policy implementation, in counties containing more social and physical minorities (e.g., single-parent households and disabled population), policymakers should attend to these groups of people and increase intervention programs to reduce potential or current mental health illness. The results of GWR could help policymakers determine the specific counties that need more support to reduce regional mental health disparities.

Cardiovascular Disease Risk Factors in Women: The Impact of Race and Ethnicity: A Scientific Statement From the American Heart Association

Cardiovascular disease is the leading cause of death in women, yet differences exist among certain racial and ethnic groups. Aside from traditional risk factors, behavioral and environmental factors and social determinants of health affect cardiovascular health and risk in women. Language barriers, discrimination, acculturation, and health care access disproportionately affect women of underrepresented races and ethnicities. These factors result in a higher prevalence of cardiovascular disease and significant challenges in the diagnosis and treatment of cardiovascular conditions. Culturally sensitive, peer-led community and health care professional education is a necessary step in the prevention of cardiovascular disease. Equitable access to evidence-based cardiovascular preventive health care should be available for all women regardless of race and ethnicity; however, these guidelines are not equally incorporated into clinical practice. This scientific statement reviews the current evidence on racial and ethnic differences in cardiovascular risk factors and current cardiovascular preventive therapies for women in the United States.

Latent Class Analysis of Depressive Symptom Phenotypes Among Black/African American Mothers

BACKGROUND

Depression is a growing global problem with significant individual and societal costs. Despite their consequences, depressive symptoms are poorly recognized and undertreated because wide variation in symptom presentation limits clinical identification-particularly among African American (AA) women-an understudied population at an increased risk of health inequity.

OBJECTIVES

The aims of this study were to explore depressive symptom phenotypes among AA women and examine associations with epigenetic, cardiometabolic, and psychosocial factors.

METHODS

This cross-sectional, retrospective analysis included self-reported Black/AA mothers from the Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure study (data collected in 2015-2020). Clinical phenotypes were identified using latent class analysis. Bivariate logistic regression examined epigenetic age, cardiometabolic traits (i.e., body mass index ≥ 30 kg/m 2 , hypertension, or diabetes), and psychosocial variables as predictors of class membership.

RESULTS

All participants were Black/AA and predominantly non-Hispanic. Over half of the sample had one or more cardiometabolic traits. Two latent classes were identified (low vs. moderate depressive symptoms). Somatic and self-critical symptoms characterized the moderate symptom class. Higher stress overload scores significantly predicted moderate-symptom class membership.

DISCUSSION

In this sample of AA women with increased cardiometabolic burden, increased stress was associated with depressive symptoms that standard screening tools may not capture. Research examining the effect of specific stressors and the efficacy of tools to identify at-risk AA women are urgently needed to address disparities and mental health burdens.

Physical activity in association with mortality among Black women diagnosed with breast cancer in the Southern Community Cohort Study

PURPOSE

Physical activity (PA) is associated with many health benefits. While PA has been associated with reduced mortality after breast cancer diagnosis in many studies, few studies have examined the role of PA in breast cancer survival among underserved and minority populations, including Black women. We investigated PA in association with mortality among Black predominantly low-income breast cancer survivors in the Southern Community Cohort Study (SCCS).

METHODS

Study participants were women diagnosed with incident breast cancer (n = 949) in the SCCS, which is a prospective cohort study of predominantly low-income adults aged 40-79 years recruited from 12 Southeastern states between 2002 and 2009. Participants completed a detailed baseline questionnaire, with annual follow-up for mortality via registry linkages. Cox regression models were used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for associations of pre-diagnosis PA (measured via a validated questionnaire) with all-cause and breast cancer-specific mortality.

RESULTS

Breast cancer survivors had a mean age of 61.1 years and most (79.3%) had a household income of < $25,000. In adjusted models, higher levels of total PA (MET-hours/day) were inversely associated with all-cause mortality with HRs (95% CIs): 0.79 (0.59-1.06), 0.66 (0.49-0.90), and 0.60 (0.43-0.84), for Q2, Q3, and Q4 (reference: Q1), respectively, ptrend ≤ 0.01. A similar inverse association was found for breast cancer-specific mortality.

CONCLUSION

Higher levels of pre-diagnosis PA were associated with improved survival among low-income Black breast cancer survivors. Resources to reduce barriers to PA participation and increase support for education and intervention efforts to promote PA among Black women are needed.

Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study

Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and warm-months ozone (O3) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m3 increase in PM2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO2, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O3. Both for NO2 and PM2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO2 ≤ 36 ppb, PM2.5 ≤ 8.2 μg/m3). Furthermore, associations remained in the restricted low-level cohorts. The O3-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM2.5 and NO2 are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.

Associations between Paternal Co-residence and Child Health among African American Children

We investigated the associations between paternal co-residence and asthma, obesity, and blood pressure among children aged 3-5 years. Mother/child dyads (N = 250) self-identified as African American or Black. Mothers reported on father's co-residence and child's asthma diagnosis. Height, weight, and blood pressure were measured. Regression models were used to examine paternal co-residence with child health outcomes (i.e., asthma, obesity, and blood pressure). Confounders included maternal and child age, child sex, maternal smoking, and insurance status. Children who lived with their fathers were less likely to have asthma (OR = 0.39, 95% CI 0.18-0.79), though this association was not significant after adjustment for confounders (aOR = 0.47, 95% CI 0.22-1.01). Paternal co-residence was not significantly associated with child obesity (aOR = 0.78, 95% CI 0.35-1.73), systolic (β = 0.57, SE = 1.2, p = .64), or diastolic (β = 1.91, SE = 1.0, p = .07) blood pressure. More research is necessary to understand the diversity of family living situations and how they affect child health.

Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study

Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM_2.5), nitrogen dioxide (NO₂), and warm-months ozone (O₃) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m³ increase in PM_2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO₂, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O₃. Both for NO₂ and PM_2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO₂ ≤ 36 ppb, PM_2.5 ≤ 8.2 μg/m³). Furthermore, associations remained in the restricted low-level cohorts. The O₃-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM_2.5 and NO₂ are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.

Socioeconomic deprivation and cardiometabolic risk factors in individuals with type 1 diabetes: T1D exchange clinic registry

AIMS

Social determinants of health (SDOH) influence cardiovascular health in the general population; however, the degree to which this occurs in individuals with type 1 diabetes (T1D) is not well understood. We evaluated associations among socioeconomic deprivation and cardiometabolic risk factors (hemoglobin A1c, low-density lipoprotein, blood pressure, body mass index, physical activity) in individuals with T1D from the T1D Clinic Exchange Registry.

METHODS

We evaluated the association between the social deprivation index (SDI) and cardiometabolic risk factors using multivariable and logistic regression among 18,754 participants ages 13 - 90 years (mean 29.2 ± 17) in the T1D Exchange clinic registry from 6,320 zip code tabulation areas (2007-2017).

RESULTS

SDI was associated with multiple cardiometabolic risk factors even after adjusting for covariates (age, biological sex, T1D duration, and race/ethnicity) in the multivariable linear regression models. Those in the highest socially deprived areas had 1.69 (unadjusted) and 1.78 (adjusted) times odds of a triple concomitant risk burden of poor glycemia, dyslipidemia, and hypertension.

CONCLUSIONS

Persistent SDOH differences could account for a substantial degree of poor achievement of cardiometabolic targets in individuals with T1D. Our results suggest the need for a broader framework to understand the association between T1D and adverse cardiometabolic outcomes.

Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) has had a rapid and sustained negative impact on sleep and mental health in the United States with disproportionate morbidity and mortality among socioeconomically deprived populations. We used multivariable and logistic regression to evaluate the associations among sleep duration, mental health, and socioeconomic deprivation (social deprivation index) in 14,676 Ohio residents from 1101 zip code tabulation areas from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey. Higher socioeconomic deprivation was associated with shorter sleep and poorer mental health after adjusting for covariates (age, sex, race, education, income, and body mass index) in the multivariable linear regression models. Those in the highest socioeconomically deprived areas had 1.6 and 1.5 times higher odds of short sleep (duration < 6 h) and poor mental health (>14 poor mental health days), respectively, in the logistic regression models. Previous researchers have focused on limited socio-environmental factors such as crowding and income. We examined the role of a composite area based measure of socioeconomic deprivation in sleep duration and mental health during the first year of COVID-19. Our results suggest the need for a broader framework to understand the associations among socioeconomic deprivation, sleep duration, and mental health during a catastrophic event.

Stress Overload and DNA Methylation in African American Women in the Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure Study

Introduction:

Experiencing psychosocial stress is associated with poor health outcomes such as hypertension and obesity, which are risk factors for developing cardiovascular disease. African American women experience disproportionate risk for cardiovascular disease including exposure to high levels of psychosocial stress. We hypothesized that psychosocial stress, such as perceived stress overload, may influence epigenetic marks, specifically DNA methylation (DNAm), that contribute to increased risk for cardiovascular disease in African American women.

Methods:

We conducted an epigenome-wide study evaluating the relationship of psychosocial stress and DNAm among African American mothers from the Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure (InterGEN) cohort. Linear mixed effects models were used to explore the epigenome-wide associations with the Stress Overload Scale (SOS), which examines self-reported past-week stress, event load and personal vulnerability.

Results:

In total, n = 228 participants were included in our analysis. After adjusting for known epigenetic confounders, we did not identify any DNAm sites associated with maternal report of stress measured by SOS after controlling for multiple comparisons. Several of the top differentially methylated CpG sites related to SOS score (P < 1 × 10⁻⁵), mapped to genes of unknown significance for hypertension or heart disease, namely, PXDNL and C22orf42.

Conclusions:

This study provides foundational knowledge for future studies examining epigenetic associations with stress and other psychosocial measures in African Americans, a key area for growth in epigenetics. Future studies including larger sample sizes and replication data are warranted.

Inequities in Availability of Evidence-Based Birth Supports to Improve Perinatal Health for Socially Vulnerable Rural Residents

Rural residents in the United States (US) have disproportionately high rates of maternal and infant mortality. Rural residents who are Black, Indigenous, and People of Color (BIPOC) face multiple social risk factors and have some of the worst maternal and infant health outcomes in the U.S. The purpose of this study was to determine the rural availability of evidence-based supports and services that promote maternal and infant health. We developed and conducted a national survey of a sample of rural hospitals. We determined for each responding hospital the county-level scores on the 2018 CDC Social Vulnerability Index (SVI). The sample’s (n = 93) median SVI score [IQR] was 0.55 [0.25–0.88]; for majority-BIPOC counties (n = 29) the median SVI score was 0.93 [0.88–0.98] compared with 0.38 [0.19–0.64] for majority-White counties (n = 64). Among counties where responding hospitals were located, 86.2% located in majority-BIPOC counties ranked in the most socially vulnerable quartile of counties nationally (SVI ≥ 0.75), compared with 14.1% of majority-White counties. In analyses adjusted for geography and hospital size, certified lactation support (aOR 0.36, 95% CI 0.13–0.97), midwifery care (aOR 0.35, 95% CI 0.12–0.99), doula support (aOR 0.30, 95% CI 0.11–0.84), postpartum support groups (aOR 0.25, 95% CI 0.09–0.68), and childbirth education classes (aOR 0.08, 95% CI 0.01–0.69) were significantly less available in the most vulnerable counties compared with less vulnerable counties. Residents in the most socially vulnerable rural counties, many of whom are BIPOC and thus at higher risk for poor birth outcomes, are significantly less likely to have access to evidence-based supports for maternal and infant health.

Racial Disparities in Cardiovascular Risk and Cardiovascular Care in Women

PURPOSE OF REVIEW

Research on sex and gender aspects cardiovascular disease has contributed to a reduction in cardiovascular mortality in women. However, cardiovascular disease remains the leading cause of death of women in the United States. Disparities in cardiovascular risk and outcomes among women overall persist and are amplified for women of certain ethnic and racial subgroups. We review the evidence of racial and ethnic differences in cardiovascular risk and care among women and describe a path forward to achieve equitable cardiovascular care for women of racial and ethnic minority groups.

RECENT FINDINGS

There is a disproportionate effect on cardiovascular outcomes in women and certain racial and ethnic groups in part due to disparities in triage, diagnosis, treatment, which lead to amplification of inequalities in women of minority racial and ethnic background. Data suggest gender and racial bias, underappreciation of nontraditional risk factors, underrepresentation of women in clinical trials and undertreatment of disease contributes to persistent differences in cardiovascular disease outcomes in women of color. Understanding the myriad of factors that contribute to increased cardiovascular risk, and disparities in treatment and outcomes among women from racial/ethnic minority backgrounds is imperative to improving cardiovascular care for this patient population.

Associations Between DNA Methylation Age Acceleration, Depressive Symptoms, and Cardiometabolic Traits in African American Mothers From the InterGEN Study

Background

African American women (AAW) have a high risk of both cardiometabolic (CM) illness and depressive symptoms. Depressive symptoms co-occur in individuals with CM illness at higher rates than the general population, and accelerated aging may explain this. In this secondary analysis, we examined associations between age acceleration; depressive symptoms; and CM traits (hypertension, diabetes mellitus [DM], and obesity) in a cohort of AAW.

Methods

Genomic and clinical data from the InterGEN cohort (n = 227) were used. Age acceleration was based on the Horvath method of DNA methylation (DNAm) age estimation. Accordingly, DNAm age acceleration (DNAm AA) was defined as the residuals from a linear regression of DNAm age on chronological age. Spearman's correlations, linear and logistic regression examined associations between DNAm AA, depressive symptoms, and CM traits.

Results

DNAm AA did not associate with total depressive symptom scores. DNAm AA correlated with specific symptoms including self-disgust/self-hate (-0.13, 95% CI -0.26, -0.01); difficulty with making decisions (-0.15, 95% CI -0.28, -0.02); and worry over physical health (0.15, 95% CI 0.02, 0.28), but were not statistically significant after multiple comparison correction. DNAm AA associated with obesity (0.08, 95% CI 1.02, 1.16), hypertension (0.08, 95% CI 1.01, 1.17), and DM (0.20, 95% CI 1.09, 1.40), after adjustment for potential confounders.

Conclusions

Associations between age acceleration and depressive symptoms may be highly nuanced and dependent on study design contexts. Factors other than age acceleration may explain the connection between depressive symptoms and CM traits. AAW with CM traits may be at increased risk of accelerated aging.

Sex-dimorphic gene effects on survival outcomes in people with coronary artery disease

Background:

Ischemic coronary heart disease (IHD) is the leading cause of death worldwide. Genetic variation is presumed to be a major factor underlying sex differences for IHD events, including mortality. The purpose of this study was to identify sex-specific candidate genes associated with all-cause mortality among people diagnosed with coronary artery disease (CAD).

Methods:

We performed a sex-stratified, exploratory genome-wide association (GWAS) screen using existing data from CAD-diagnosed males (n = 510) and females (n = 174) who reported European ancestry from the Duke Catheterization Genetics biorepository. Extant genotype data for 785,945 autosomal SNPs generated with the Human Omni1-Quad BeadChip (Illumina, CA, USA) were analyzed using an additive inheritance model. We estimated instantaneous risk of all-cause mortality by genotype groups across the 11-year follow-up using Cox multivariate regression, covarying for age and genomic ancestry.

Results:

The top GWAS hits associated with all-cause mortality among people with CAD included 8 SNPs among males and 15 among females (p = 1 × 10⁻⁶ or 10⁻⁷), adjusted for covariates. Cross-sex comparisons revealed distinct candidate genes. Biologically relevant candidates included rs9932462 (EMP2/TEKT5) and rs2835913 (KCNJ6) among males and rs7217169 (RAP1GAP2), rs8021816 (PRKD1), rs8133010 (PDE9A), and rs12145981 (LPGAT1) among females.

Conclusions:

We report 20 sex-specific candidate genes having suggestive association with all-cause mortality among CAD-diagnosed subjects. Findings demonstrate proof of principle for identifying sex-associated genetic factors that may help explain differential mortality risk in people with CAD. Replication and meta-analyses in larger studies with more diverse samples will strengthen future work in this area.