Xiaoyue Liu

Abstract

BACKGROUND: Self-measured blood pressure (SMBP) is an effective strategy for managing and controlling hypertension. However, uncertainty regarding patients' ability to accurately measure their blood pressure (BP) contributes to treatment inertia. Therefore, we compared BP measurements with the Omron HEM-9210T device obtained by nurses and community-dwelling adults after training. METHODS: This cross-sectional study was conducted in a simulated home environment at an academic institution. After a 5-min rest, a trained nurse measured a participant's BP twice at a 1-min interval. The participants then ambulated at their usual pace for 2 min. Next, they were asked to rest for 5 min, during which each individual watched a 3-min video on SMBP. Following the rest, the participants obtained two readings at a 1-min interval. RESULTS: We recruited 102 community-dwelling adults with a mean age of 54 (±14) years; 59% female, 88% Black race, and 63% with a hypertension diagnosis. Half (n=51) had a home BP monitor. Overall, there were no significant differences between nurse-and participant-obtained systolic BP (mean difference [MD]:-1.1; standard deviation [SD]: 8.0; P=0.178) or diastolic BP (MD:-0.9; SD: 5.5; P=0.111). Participants who used an extra-large cuff had higher self-measured diastolic BP (MD:-2.9; SD: 4.5; P=0.010). All participants demonstrated satisfactory SMBP skills after the training. CONCLUSIONS: Community-dwelling adults can accurately measure BP after a 3-min video training. Integrating SMBP training into patient encounters may result in reliable home BP measurements, improving hypertension management and clinical decision making.

Abstract

Purpose of review: Sleep is crucial for human health and life. There is still limited attention to the association between sleep disorders beyond sleep apnea and cardiovascular (CV) health. We investigated the current evidence between non-respiratory sleep disorders and CV health. Recent findings: Current evidence suggests an important association between sleep duration, circadian rhythm, insomnia, disorders of hypersomnolence and CV health. Sleep-related movement disorders exhibit a moderate association with CV health. Further research is needed to explore the effects of each sleep disorder on CV health. Summary: Given the close association between non-respiratory sleep disorders and CV health, it is crucial to recognize and address sleep disorders in patients with a high CV risk.

Abstract

Background: Hypertension and diabetes are major risk factors for cardiovascular diseases, stroke, and chronic kidney disease (CKD). Disparities in hypertension control persist among Black and Hispanic adults and persons living in poverty in the United States. The “LINKED-HEARTS Program” (a Cardiometabolic Health Program LINKED with Community Health WorkErs and Mobile HeAlth TelemonitoRing To reduce Health DisparitieS”), is a multi-level intervention that includes home blood pressure (BP) monitoring (HBPM), blood glucose telemonitoring, and team-based care. This study aims to examine the effect of the LINKED-HEARTS Program intervention in improving BP control compared to enhanced usual care (EUC) and to evaluate the reach, adoption, sustainability, and cost-effectiveness of the program. Methods: Using a hybrid type I effectiveness-implementation design, 428 adults with uncontrolled hypertension (systolic BP ≥ 140 mm Hg) and diabetes or CKD will be recruited from 18 primary care practices, including community health centers, in Maryland. Using a cluster-randomized trial design, practices are randomly assigned to the LINKED-HEARTS intervention arm or EUC arm. Participants in the LINKED-HEARTS intervention arm receive training on HBPM, BP and glucose telemonitoring, and community health worker and pharmacist telehealth visits on lifestyle modification and medication management over 12 months. The primary outcome is the proportion of participants with controlled BP (<140/90 mm Hg) at 12 months. Conclusions: The study tests a multi-level intervention to control multiple chronic diseases. Findings from the study may be leveraged to reduce disparities in the management and control of chronic diseases and make primary care more responsive to the needs of underserved populations. Trial registration: ClinicalTrials.gov. Identifier: NCT05321368.

Abstract

Objectives: Sleep plays an essential role in well-being. Although U.S. immigrants are considerably growing, few studies have examined sleep in this diverse population, particularly those from Asian backgrounds. It is also unclear how sleep differs by the length of residence across immigrant groups. In this study, we examined the relationships among race/ethnicity, length of residence, and sleep using a nationally representative cohort of U.S. immigrants. Methods: We analyzed data from the 2013-2018 National Health Interview Survey. The sample (N = 27,761; 14% ≥65 years old) included foreign-born adults from the following racial/ethnic backgrounds: non-Hispanic White, non-Hispanic Black, Asian (Chinese, Filipino, Asian Indian), and Hispanic/Latino. Length of residence was categorized as <5, 5-9, 10-14, and ≥15 years. Sleep was assessed with self-reported sleep duration (normal, short, and long) and poor sleep quality (trouble falling asleep, trouble staying asleep, and waking up unrested). Results: Filipino and Hispanic/Latino immigrants reported the highest prevalence of short (41.8%) and long (7.0%) sleep, respectively. Non-Hispanic White immigrants had the highest prevalence rate across all three poor sleep quality measures (range 17.7-41.5%). Length of residence ≥15 years was significantly associated with worse sleep, and it moderated White-Asian differences in sleep quality. Immigrants from different racial/ethnic groups showed variations in sleep patterns as they resided longer in the US. Conclusions: Immigrants exhibited substantial heterogeneities in sleep. Future research should investigate the contributing factors to the variations in their sleep patterns, both between groups and within the same group of immigrants, in order to inform tailored interventions.

Abstract

Importance: The effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear. Objective: To assess the extent to which SDM is used in interventions aimed to enhance the management of cardiovascular risk factors and to explore the association of SDM with decisional outcomes, cardiovascular risk factors, and health behaviors. Data Sources: For this systematic review and meta-analysis, a literature search was conducted in the Medline, CINAHL, Embase, Cochrane, Web of Science, Scopus, and ClinicalTrials.gov databases for articles published from inception to June 24, 2022, without language restrictions. Study Selection: Randomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included. Data Extraction and Synthesis: The systematic search resulted in 9365 references. Duplicates were removed, and 2 independent reviewers screened the trials (title, abstract, and full text) and extracted data. Data were pooled using a random-effects model. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Main Outcomes and Measures: Decisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes. Results: This review included 57 RCTs with 88578 patients and 1341 clinicians. A total of 59 articles were included, as 2 RCTs were reported twice. Nearly half of the studies (29 [49.2%]) tested interventions that targeted both patients and clinicians, and an equal number (29 [49.2%]) exclusively focused on patients. More than half (32 [54.2%]) focused on diabetes management, and one-quarter focused on multiple cardiovascular risk factors (14 [23.7%]). Most studies (35 [59.3%]) assessed cardiovascular risk factors and health behaviors as well as decisional outcomes. The quality of studies reviewed was low to fair. The SDM intervention was associated with a decrease of 4.21 points (95% CI, -8.21 to -0.21) in Decisional Conflict Scale scores (9 trials; I2= 85.6%) and a decrease of 0.20% (95% CI, -0.39% to -0.01%) in hemoglobin A1c(HbA1c) levels (18 trials; I2= 84.2%). Conclusions and Relevance: In this systematic review and meta-analysis of the current state of research on SDM interventions for cardiovascular risk management, there was a slight reduction in decisional conflict and an improvement in HbA1clevels with substantial heterogeneity. High-quality studies are needed to inform the use of SDM to improve cardiovascular risk management.

Abstract

Background: Multimorbidity is prevalent among older adults and is associated with adverse health outcomes, including high emergency department (ED) utilization. Social determinants of health (SDoH) are associated with many health outcomes, but the association between SDoH and ED visits among older adults with multimorbidity has received limited attention. This study aimed to examine the association between SDoH and ED visits among older adults with multimorbidity. Methods: A cross-sectional analysis was conducted among 28,917 adults aged 50 years and older from the 2010 to 2018 National Health Interview Survey. Multimorbidity was defined as the presence of two or more self-reported diseases among 10 common chronic conditions, including diabetes, hypertension, asthma, stroke, cancer, arthritis, chronic obstructive pulmonary disease, and heart, kidney, and liver diseases. The SDoH assessed included race/ethnicity, education level, poverty income ratio, marital status, employment status, insurance status, region of residence, and having a usual place for medical care. Logistic regression models were used to examine the association between SDoH and one or more ED visits. Results: Participants’ mean (± SD) age was 68.04 (± 10.66) years, and 56.82% were female. After adjusting for age, sex, and the number of chronic conditions in the logistic regression model, high school or less education (adjusted odds ratio [AOR]: 1.10, 95% confidence interval [CI]: 1.02–1.19), poverty income ratio below the federal poverty level (AOR: 1.44, 95% CI: 1.31–1.59), unmarried (AOR: 1.19, 95% CI: 1.11–1.28), unemployed status (AOR: 1.33, 95% CI: 1.23–1.44), and having a usual place for medical care (AOR: 1.46, 95% CI 1.18–1.80) was significantly associated with having one or more ED visits. Non-Hispanic Black individuals had higher odds (AOR: 1.28, 95% CI: 1.19–1.38), while non-Hispanic Asian individuals had lower odds (AOR: 0.71, 95% CI: 0.59–0.86) of one or more ED visits than non-Hispanic White individuals. Conclusion: SDoH factors are associated with ED visits among older adults with multimorbidity. Systematic multidisciplinary team approaches are needed to address social disparities affecting not only multimorbidity prevalence but also health-seeking behaviors and emergent healthcare access.