Conectar
Background
Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual.
Objectives
We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time.
Methods
We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns.
Results
Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year.
Conclusion
We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels. Background
Controlling high blood pressure (BP) continues to be a major concern because the associated complications can lead to an increased risk of heart, brain, and kidney disease. Those with hypertension, despite lifestyle and diet modifications and pharmacotherapy, defined as resistant hypertension, are at increased risk for further risk for morbidity and mortality. Understanding inflammation in this population may provide novel avenues for treatment.
Objectives
This study aimed to examine a broad range of cytokines in adults with cardiovascular disease and identify specific cytokines associated with resistant hypertension.
Methods
A secondary data analysis was conducted. The parent study included 156 adults with a history of myocardial infarction within the past 3–7 years and with a multiplex plasma analysis yielding a cytokine panel. A network analysis with lasso penalization for sparsity was performed to explore associations between cytokines and BP. Associated network centrality measures by cytokine were produced, and a community graph was extracted. A sensitivity analysis BP was also performed.
Results
Cytokines with larger node strength measures were sTNFR2 and CX3. The graphical network highlighted six cytokines strongly associated with resistant hypertension. Cytokines IL-29 and CCL3 were found to be negatively associated with resistant hypertension, whereas CXCL12, MMP3, sCD163, and sIL6Rb were positively associated with resistant hypertension.
Discussion
Understanding the network of associations through exploring oxidative stress and vascular inflammation may provide insight into treatment approaches for resistant hypertension. Background
The state of New Jersey has a large Black/African American (AA) versus White racial disparity in infant mortality and educational level at childbirth. This disparity, measured by rate ratio, increases with greater maternal education among varied racial–ethnic groups. The nature of this disparity measured by rate differences has not been explored.
Objectives
Infant birth and mortality data were used to examine whether racial or ethnic disparities in infant mortality increased with greater maternal education, comparing rate differences and rate ratios. Racial and ethnic variations in the association between maternal education and infant mortality were examined.
Methods
Data were from the New Jersey State Health Assessment Data for all New Jersey births between 2014 and 2018 stratified by race and ethnicity, maternal education, and infant mortality (n = 481,333). R software was used to create a data set and estimate additive and multiplicative interactions, rate differences, and rate ratios for infant mortality by maternal race/ethnicity and educational levels among four racial–ethnic groups.
Results
Infant mortality was significantly greater for Black/AA and Hispanic mothers than for White mothers. At all educational levels, Black/AA mothers had the highest prevalence of infant mortality compared to other racial or ethnic groups. Rate differences in infant mortality showed a decrease in Black/AA–White differences for mothers with a high school education or less compared to mothers with a college degree. However, rate ratios showed an increase in Black/AA–White ratio with increasing education levels for mothers with high school education or less than mothers with a college degree. Risk ratios comparing infant mortality for Black/AA versus Hispanic or Asian mothers showed more than a twofold greater risk at all education levels for Black/AA infants. Finally, college-educated Black/AA mothers had significantly higher rates of infant mortality than White or Hispanic mothers with a high school education or less.
Discussion/Implications
Black/AA mothers with a college degree had a higher infant mortality rate than White, Hispanic, or Asian mothers with a high school education or less. Future research should address contextual/systemic contributors to this disparity. 
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