Social Determinants, Blood Pressure Control, and Racial Inequities in Childbearing Age Women With Hypertension, 2001 to 2018

ShopTalk - Barbers as partners in health promotion: Reviewing social determinants of health, revisiting cardiology pioneers, and moving forward

Social Determinants of Health (SDOH) like education, economic stability, social context, neighborhood environment, and healthcare access are increasingly recognized as major drivers of persistent health disparities, particularly among minority populations. Over the past year, studies have demonstrated and quantified the impact that certain SDOH have on uncontrolled blood pressure in Black and Hispanic adults compared to white adults. This underscores the need to view chronic diseases through a SDOH lens and implement multilevel interventions targeting these underlying social factors to achieve health equity. The ShopTalk initiative, based in Lakeland, Florida, represents a promising community-based approach to addressing SDOH and health disparities. It conducts health outreach in barbershops and hair salons - trusted community hubs where meaningful dialogues occur. Key components include providing health education materials, offering screenings, and facilitating physician connections, all at no cost. By leveraging these culturally-relevant spaces, ShopTalk simultaneously targets multiple SDOH domains like health literacy, economic barriers, neighborhood familiarity, and healthcare engagement. This builds upon the pioneering work of leaders like Dr. Elijah Saunders and Dr. Ronald Victor, who previously engaged social hubs to successfully raise hypertension awareness among underserved populations. As highlighted by Healthy People 2030's emphasis on SDOH, widespread implementation of such culturally-tailored community outreach shows potential for finally reducing longstanding disparities. Specific outcome measures are planned to optimize ShopTalk, with the goal of extracting generalizable insights to guide similar initiatives nationwide.

Design and rationale of the social determinants of the risk of hypertension in women of reproductive age (SAFE HEART) study: An American Heart Association research goes red initiative

BACKGROUND

Cardiovascular health literacy (CVHL) and social determinants of health (SDoH) play interconnected and critical roles in shaping cardiovascular health (CVH) outcomes. However, awareness of CVH risk has declined markedly, from 65% of women being aware that cardiovascular disease (CVD) is the leading cause of death for women in 2009 to just 44% being aware in 2019. The American Heart Association Research Goes Red (RGR) initiative seeks to develop an open-source, longitudinal, dynamic registry that will help women to be aware of and participate in research studies, and to learn about CVD prevention. We proposed to leverage this platform, particularly among Black and Hispanic women of reproductive age, to address CVHL gaps and advance health equity.

METHODS

The primary objective of the study is to evaluate the cross-sectional association of CVHL, SDoH using a polysocial score, and CVH in women of reproductive age at increased risk of developing hypertension (HTN). To achieve this we will use a cross-sectional study design, that engages women already enrolled in the RGR registry (registry-enrolled). To enhance the racial and ethnic/social economic diversity of the cohort, we will additionally enroll 300 women from the Baltimore and Washington D.C. community into the Social Determinants of the Risk of Hypertension in Women of Reproductive Age (SAFE HEART) Study. Community-enrolled and registry-enrolled women will undergo baseline social phenotyping including detailed SDoH questionnaire, CVH metrics assessment, and CVHL assessment. The secondary objective is to assess whether a 4-month active health education intervention will result in a change in CVHL in the 300 community-enrolled women.

DISCUSSION

The SAFE HEART study examines the association between CVHL, SDoH, and CVH, with a focus on racial and ethnic minority groups and socioeconomically disadvantaged women of reproductive age, and the ability to improve these parameters by an educational intervention. These findings will inform the future development of community-engaged strategies that address CVHL and SDoH among women of reproductive age.

Blood Pressure Control and Maintenance in a Prospective Cohort of Younger Veterans: Roles of Sex, Race, Ethnicity, and Social Determinants of Health

Background

Proactive blood pressure (BP) management is particularly beneficial for younger Veterans, who have a greater prevalence and earlier onset of cardiovascular disease than non-Veterans. It is unknown what proportion of younger Veterans achieve and maintain BP control after hypertension onset and if BP control differs by demographics and social deprivation.

Methods

Electronic health records were merged from Veterans who enrolled in VA care 10/1/2001-9/30/2017 and met criteria for hypertension - first diagnosis or antihypertensive fill. BP control (140/90 mmHg), was estimated 1, 2, and 5 years post-hypertension documentation, and characterized by sex, race, and ethnicity. Adjusted logistic regressions assessed likelihood of BP control by these demographics and with the Social Deprivation Index (SDI).

Results

Overall, 17% patients met criteria for hypertension (n=198,367; 11% of women, median age 41). One year later, 59% of men and 65% of women achieved BP control. After adjustment, women had a 72% greater odds of BP control than men, with minimal change over 5 years. Black adults had a 22% lower odds of BP control than White adults. SDI did not significantly change these results.

Conclusions

In the largest study of hypertension in younger Veterans, 41% of men and 35% of women did not have BP control after 1 year, and BP control was consistently better for women through 5 years. Thus, the first year of hypertension management portends future, long-term BP control. As social deprivation did not affect BP control, the VA system may protect against disadvantages observed in the general U.S. population.

Hypertension Prevalence and Control Among U.S. Women of Reproductive Age

INTRODUCTION

Hypertension is a risk factor for cardiovascular disease, a leading cause of death among women of reproductive age (women aged 18-44 years). This study estimated hypertension prevalence and control among women of reproductive age at the national and state levels using electronic health record data.

METHODS

Nonpregnant women of reproductive age were included in this cross-sectional study using 2019 IQVIA Ambulatory Electronic Medical Records - U.S. national data (analyzed in 2023). Suspected hypertension was identified using any of these criteria: ≥1 hypertension diagnosis code, ≥2 blood pressure readings ≥140/90 mmHg on separate days, or ≥1 antihypertensive medication. Among women of reproductive age with hypertension, the latest blood pressure in 2019 was used to identify hypertension control (blood pressure <140/90 mmHg). Estimates were age standardized and stratified by race or Hispanic ethnicity, region, and states with sufficient data. Tukey tests compared estimates by race or Hispanic ethnicity, region, and comorbidities.

RESULTS

Among 2,125,084 women of reproductive age (62.1% White, 8.8% Black, and 29.1% other [including Hispanic, Asian, other, or unknown]) with a mean age of 31.7 years, hypertension prevalence was 14.5%. Of those with hypertension, 71.9% had controlled blood pressure. Black women of reproductive age had a higher hypertension prevalence (22.3% vs 14.4%, p<0.05) but lower control (60.6% vs 74.0%, p<0.05) than White women of reproductive age. State-level hypertension prevalence ranged from 13.7% (Massachusetts) to 36% (Alabama), and control ranged from 82.9% (Kansas) to 59.2% (the District of Columbia).

CONCLUSIONS

This study provides the first state-level estimates of hypertension control among women of reproductive age. Electronic health record data complements traditional hypertension surveillance data and provides further information for efforts to prevent and manage hypertension among women of reproductive age.

Examination of the Black-White racial disparity in severe maternal morbidity among Georgia deliveries, 2016 to 2020

BACKGROUND

Studies find that delivery hospital explains a significant portion of the Black-White gap in severe maternal morbidity. No such studies have focused on the US Southeast, where racial disparities are widest, and few have examined the relative contribution of hospital, residential, and maternal factors.

OBJECTIVE

This study aimed to estimate the portion of Georgia's Black-White gap in severe maternal morbidity during delivery through 42 days postpartum explained by hospital, residential, and maternal factors.

STUDY DESIGN

Using linked Georgia hospital discharge, birth, and fetal death records for 2016 through 2020, we identified 413,124 deliveries to non-Hispanic White (229,357; 56%) or Black (183,767; 44%) individuals. We linked hospital data from the American Hospital Association and Center for Medicare and Medicaid Services, and area data from the Area Resource File and American Community Survey. We identified severe maternal morbidity indicator conditions during delivery or subsequent hospitalizations through 42 days postpartum. Using race-specific logistic models followed by a decomposition technique, we estimated the portion of the Black-White severe maternal morbidity gap explained by the following: (1) sociodemographic factors (age, education, marital status, and nativity), (2) medical conditions (diabetes mellitus, gestational diabetes, chronic hypertension, gestational hypertension or preeclampsia, and smoking), (3) obstetrical factors (singleton or multiple, and birth order); (4) access to care (no or third trimester care, and payer), (5) hospital factors that are time-varying (delivery volume, deliveries per full-time equivalent nurse, doctor communication, patient safety, and adverse event composite score) or measured time-invariant characteristics (ownership, profit status, religious affiliation, teaching status, and perinatal level), and (6) residential factors (county urban/rural classification, percent uninsured women of reproductive age, obstetrician-gynecologists per women of reproductive age, number of federally-qualified and community health centers, medically-underserved area [yes/no], and census tract neighborhood deprivation index). We estimated models with and without hospital fixed-effects, which account for unobserved time-invariant hospital characteristics such as within-hospital care processes or unmeasured hospital-specific factors.

RESULTS

There was 1.8 times the rate of severe maternal morbidity per 100 discharges among non-Hispanic Black (3.15) than among White (1.73) individuals, with an explained proportion of 30.4% in models without and 49.8% in models with hospital fixed-effects. In the latter, hospital fixed-effects explained the largest portion of the Black-White severe maternal morbidity gap (15.1%) followed by access to care (14.9%) and sociodemographic factors (14.4%), with residential factors being protective for Black individuals (-7.5%). Smaller proportions were explained by medical (5.6%), obstetrical (4.0%), and time-varying hospital factors (3.2%). Within each category, the largest explanatory portion was payer type (13.3%) for access to care, marital status (10.3%) for sociodemographic, gestational hypertension (3.3%) for medical, birth order (3.6%) for obstetrical, and patient safety indicator (3.1%) for time-varying hospital factors.

CONCLUSION

Models with hospital fixed-effects explain a greater proportion of Georgia's Black-White severe maternal morbidity gap than models without them, thereby supporting the point that differences in care processes or other unmeasured factors within the same hospital translate into racial differences in severe maternal morbidity during delivery through 42 days postpartum. Research is needed to discern and ameliorate sources of within-hospital differences in care. The substantial proportion of the gap attributable to racial differences in access to care and sociodemographic factors points to other needed policy interventions.

Salty Subjects: Unpacking Racial Differences in Salt-Sensitive Hypertension

PURPOSE OF REVIEW

To review underlying mechanisms and environmental factors that may influence racial disparities in the development of salt-sensitive blood pressure.

RECENT FINDINGS

Our group and others have observed racial differences in diet and hydration, which may influence salt sensitivity. Dietary salt elicits negative alterations to the gut microbiota and immune system, which may increase hypertension risk, but little is known regarding potential racial differences in these physiological responses. Antioxidant supplementation and exercise offset vascular dysfunction following dietary salt, including in Black adults. Furthermore, recent work proposes the role of racial differences in exposure to social determinants of health, and differences in health behaviors that may influence risk of salt sensitivity. Physiological and environmental factors contribute to the mechanisms that manifest in racial differences in salt-sensitive blood pressure. Using this information, additional work is needed to develop strategies that can attenuate racial disparities in salt-sensitive blood pressure.

Optimized deep neural network models for blood pressure classification using Fourier analysis-based time-frequency spectrogram of photoplethysmography signal

Appropriate blood pressure (BP) management through continuous monitoring and rapid diagnosis helps to take preventive care against cardiovascular diseases (CVD). As hypertension is one of the leading causes of CVDs, keeping hypertension under control by a timely screening of subjects becomes lifesaving. This work proposes estimating BP from motion artifact-affected photoplethysmography signals (PPG) by applying signal processing techniques in realtime. This paper proposes a deep neural network-based methodology to accurately classify PPG signals using a Fourier theory-based time-frequency (TF) spectrogram. This work uses the Fourier decomposition method (FDM) to transform a PPG signal into a TF spectrogram. In the proposed work, the last three layers of the pre-trained deep neural network, namely, GoogleNet, DenseNet, and AlexNet, are modified and then used to classify the PPG signal into normotension, pre-hypertension, and hypertension. The proposed framework is trained and tested using the MIMIC-III and PPG-BP databases using five-fold training and testing. Out of the three deep neural networks, the proposed framework with the DenseNet-201 network performs best, with a test accuracy of 96.5%. The proposed work uses FDM to compute the TF spectrogram to accurately separate the motion artifacts and noise components from a noise-corrupted PPG signal. Capturing more frequency components that contain more information from PPG signals makes the deep neural networks extract better and more meaningful features. Thus, training a deep neural network model with clean PPG signal features improves the generalized capability of a BP classification model when tested in realtime.