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Background
There is a dearth of research inclusive of African American adults living with obstructive sleep apnea (OSA) despite differences in symptom presentations compared to non-Hispanic White patient populations. Less is known regarding the potential effect of comorbidities, including hypertension, on commonly reported symptoms, such as fatigue, and their association with inflammatory biomarkers.
Objective
This longitudinal pilot study aimed to characterize fatigue symptom presentations among African American adults newly diagnosed with OSA and discern peripheral blood analytes linked to symptoms while accounting for co-occurring hypertension.
Methods
African American adults newly diagnosed with OSA with and without co-occurring hypertension were approached by study staff and recruited following their diagnostic visit with sleep medicine clinicians at two health systems and followed over 6 months after commencing continuous positive airway pressure treatment. Patient-Reported Outcomes Measurement Information System Fatigue surveys and plasma were collected every 3 months from 29 participants. Mixed-effects models examined changes in fatigue symptom presentations over time while accounting for plasma-based analytes and hypertension status.
Results
Despite higher fatigue symptom severity upon diagnosis, participants with co-occurring hypertension reported greater improvements in fatigue scores after commencing continuous positive airway pressure treatment for up to 6 months than those without hypertension. Inverse correlations were observed between fatigue scores, C-reactive protein, matrix metalloproteinase-8, and osteoprotegerin analyte levels among participants with/without hypertension. Across all participants, changes in interleukin-6 were associated with changes in fatigue scores in the first 3 months after diagnosis.
Discussion
Findings indicate that hypertension is linked to increased fatigue upon diagnosis of OSA in this sample of African American adults. Fatigue in persons with hypertension improved after treatment in this sample. These hypothesis-generating findings can inform future interventional studies aimed at improving fatigue among persons with OSA while leveraging markers linked to fatigue symptom severity as potential objective markers of improvements. Further research on the role of inflammatory markers, such as IL-6, on fatigue symptom presentations is warranted in persons with OSA.
Background
A healthy nursing workforce is vital to ensuring that patients are provided quality care. Assessing nurses' well-being and related factors requires routine evaluations from health system leaders that leverage brief psychometrically sound measures. To date, measures used to assess nurses' well-being have primarily been psychometrically tested among other clinicians or nurses working in specific clinical practice settings rather than in large, representative, heterogeneous samples of nurses.
Objectives
This study aimed to psychometrically test measures frequently used to evaluate factors linked to nurse well-being in a heterogeneous sample of nurses within a large academic health system.
Methods
This cross-sectional, survey-based study used a convenience sample of nurses working across acute care practice settings. A total of 177 nurses completed measures, which included the Professional Quality of Life, the short form of the Professional Quality of Life measure, the two-item Connor–Davidson Resilience Scale, the five-item World Health Organization Well-Being Index, the Secondary Traumatic Stress Scale, and the single-item Mini-Z. Internal reliability and convergent validity were assessed for each measure.
Results
All the measures were found to be reliable. Brief measures used to assess domains of well-being demonstrated validity with longer measures, as evident by significant correlation coefficients.
Discussion
This study provides support for the reliability and validity of measures commonly used to assess well-being in a diverse sample of nurses working across acute care settings. Data from routine assessments of the nursing workforce hold the potential to guide the implementation and evaluation of interventions capable of promoting workplace well-being. Assessments should include psychometrically sound, low-burden measures, such as those evaluated in this study.
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.
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
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. 
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