Faculty Bibliography

OBJECTIVE:To describe behavioral and genetic beliefs about developing hypertension (HTN) by sociodemographic factors and self-reported HTN status, and among those with a history of HTN, evaluate associations between HTN-related causal beliefs and behavior change attempts. METHOD/METHODS:Data from the 2014 Health Information National Trends Survey were evaluated. HTN causal beliefs questions included (a) "How much do you think health behaviors like diet, exercise, and smoking determine whether or not a person will develop high blood pressure/HTN?"; and (b) "How much do you think genetics, that is characteristics passed from one generation to the next, determine whether or not a person will develop high blood pressure/HTN?" Multivariate logistic regressions evaluated associations between HTN causal beliefs and behavior change attempts including diet, exercise, and weight management. RESULTS:Approximately 1,602 out of 3,555 respondents with nonmissing data (33% weighted) reported ever having HTN. In logistic regression models, results show that the more strongly people believed in the impact of behavior on developing HTN, the higher their odds for behavior change attempts. Beliefs about genetic causes of HTN were not associated with behavior change attempts. Women had higher odds of attempts to increase fruit and vegetable intake, reduce soda intake, and lose weight compared to men. Blacks and Hispanics were significantly more likely than Whites to report attempts to lose weight. CONCLUSIONS:Beliefs about behavioral causes of HTN, but not genetic, were associated with behavior change attempts. Health messages that incorporate behavioral beliefs and sociodemographic factors may enhance future prohealth behavior changes. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Introduction: Physical activity (PA) and sleep are associated with cerebrovascular disease and events like stroke. Though the interrelationships between PA, sleep, and other stroke risk factors have been studied, we are unclear about the associations of different types, frequency and duration of PA, sleep behavioral patterns (short, average and long sleep durations), within the context of stroke-related clinical, behavioral, and socio-demographic risk factors. The current study utilized Bayesian Belief Network analysis (BBN), a type of machine learning analysis, to develop profiles of physical activity (duration, intensity, and frequency) and sleep duration associated with or no history of stroke, given the influence of multiple stroke predictors and correlates. Such a model allowed us to develop a predictive classification model of stroke which can be used in post-stroke risk stratification and developing targeted stroke rehabilitation care based on an individual's profile. Method: Analysis was based on the 2004-2013 National Health Interview Survey (n = 288,888). Bayesian BBN was used to model the omnidirectional relationships of sleep duration and physical activity to history of stroke. Demographic, behavioral, health/medical, and psychosocial factors were considered as well as sleep duration [defined as short < 7 h. and long ≥ 9 h, referenced to healthy sleep (7-8 h)], and intensity (moderate and vigorous) and frequency (times/week) of physical activity. Results: Of the sample, 48.1% were ≤ 45 years; 55.7% female; 77.4% were White; 15.9%, Black/African American; and 45.3% reported an annual income < $35 K. Overall, the model had a precision index of 95.84%. We found that adults who reported 31-60 min of vigorous physical activity six times for the week and average sleep duration (7-8 h) had the lowest stroke prevalence. Of the 36 sleep (short, average, and long sleep) and physical activity profiles we tested, 30 profiles had a self-reported stroke prevalence lower than the US national average of approximately 3.07%. Women, compared to men with the same sleep and physical activity profile, appeared to have higher self-reported stroke prevalence. We also report age differences across three groups 18-45, 46-65, and 66+. Conclusion: Our findings indicate that several profiles of sleep duration and physical activity are associated with low prevalence of self-reported stroke and that there may be sex differences. Overall, our findings indicate that more than 10 min of moderate or vigorous physical activity, about 5-6 times per week and 7-8 h of sleep is associated with lower self-reported stroke prevalence. Results from the current study could lead to more tailored and personalized behavioral secondary stroke prevention strategies.

PURPOSE/OBJECTIVE:We wanted to describe small, independent primary care practices' performance in meeting the Million Hearts ABCSs (aspirin use, blood pressure control, cholesterol management, and smoking screening and counseling), as well as on a composite measure that captured the extent to which multiple clinical targets are achieved for patients with a history of arteriosclerotic cardiovascular disease (ASCVD). We also explored relationships between practice characteristics and ABCS measures. METHODS:We conducted a cross-sectional, bivariate analysis using baseline data from 134 practices in New York City. ABCS data were extracted from practices' electronic health records and aggregated to the site level. Practice characteristics were obtained from surveys of clinicians and staff at each practice. RESULTS:= .011) than practices with multiple clinicians. CONCLUSION/CONCLUSIONS:Achieving targets for ABCS measures varied considerably across practices; however, small practices were meeting or exceeding Million Hearts goals (ie, 70% or greater). Practices were less likely to meet consistently clinical targets that apply to patients with a history of ASCVD risk factors. Greater emphasis is needed on providing support for small practices to address the complexity of managing patients with multiple risk factors for primary and secondary ASCVD.

Patients with complex chronic diseases usually must make multiple lifestyle changes to limit and manage their conditions. Numerous studies have shown that education alone is insufficient for engaging people in lifestyle behavior change, and that theory-based behavioral approaches also are necessary. However, even the most motivated individual may have difficulty with making lifestyle changes because of the information complexity associated with multiple behavior changes. The goal of the current Healthy Hearts and Kidneys study was to evaluate, different mobile health (mHealth)-delivered intervention approaches for engaging individuals with type 2 diabetes (T2D) and concurrent chronic kidney disease (CKD) in behavior changes. Participants were randomized to 1 of 4 groups, receiving: (1) a behavioral counseling, (2) technology-based self-monitoring to reduce information complexity, (3) combined behavioral counseling and technology-based self-monitoring, or (4) baseline advice. We will determine the impact of randomization assignment on weight loss success and 24-hour urinary excretion of sodium and phosphorus. With this report we describe the study design, methods, and approaches used to assure information security for this ongoing clinical trial. Clinical Trials.gov Identifier: NCT02276742.

This retrospective cohort study compared blood pressure (BP) control (BP <140/90 mm Hg) and all-cause mortality between US- and foreign-born blacks. We used data from a clinical data warehouse of 41 868 patients with hypertension who received care in a New York City public healthcare system between 2004 and 2009, defining BP control as the last recorded BP measurement and mean BP control. Poisson regression demonstrated that Caribbean-born blacks had lower BP control for the last BP measurement compared with US- and West African-born blacks, respectively (49% vs 54% and 57%; P<.001). This pattern was similar for mean BP control. Caribbean- and West African-born blacks showed reduced hazard ratios of mortality (0.46 [95% CI, 0.42-0.50] and 0.28 [95% CI, 0.18-0.41], respectively) compared with US-born blacks, even after adjustment for BP. BP control rates and mortality were heterogeneous in this sample. Caribbean-born blacks showed worse control than US-born blacks. However, US-born blacks experienced increased hazard of mortality. This suggests the need to account for the variations within blacks in hypertension management.

Background: The racial/ethnic differences in post-stroke blood pressure (BP) trajectory and mortality risk are not fully understood. The current paper investigated differences in average systolic BP (SBP) during the 6 months following stroke and effects of average post-stroke BP on mortality risk among Blacks and Hispanics. Hypothesis: Greater post-stroke BP levels will increase risk of mortality Methods:We examined BP measurements in 6,016 stroke survivors within the New York City Health and Hospitals Corporation (NYC HHC) during the 6 months following stroke. Based on the average of all SBP measurements in this period, patients were classified into three groups: (1) SBP =140 mm Hg and =150 mm Hg. We used inverse probability weighting (IPW) to control for group differences in demographic factors, comorbidity, and anti-hypertensive medication use. We examined whether 6 month SBP average was related to mortality following stroke, using Cox regression analysis. The mean duration of follow up after stroke was 2.6+/-1.5 years. Results: The mean age was 57.9+/-13.0 years, 57.4% of patients were female, 49.1% were Black and 37.3% were Hispanic. Blacks were more likely than Hispanics to have an average post-stroke SBP >=150mm Hg (27% versus 17%). Group 1 (SBP <140) and Group 3 (SBP>=150) had higher risks of mortality (Group 1 HR=1.26, 95%CI=1.13-1.41; Group 3 HR=1.29, 95%CI=1.13-1.48) when compared to Group 2 (SBP 140-150). When controlling for ethnicity, these differences are no longer significant. In stratified analyses, the increased hazard in Group 1 was maintained in the sub-sample of Blacks (HR=1.47, 95%CI=1.25-1.72) but not in Hispanics (HR=0.95, 95%CI=0.79-1.15). The difference between Group 2 and Group 3 was not significant in either Black or Hispanic sub-samples. Conclusion: Our findings demonstrate that having a post-stroke SBP below 140 mm Hg or above 150 mm Hg significantly increased individuals' mortality risk, adjusting for demographic factors, comorbidity, number of BP readings, and location of healthcare. Post-stroke BP trajectory differed between Blacks and Hispanics, and had different effects on mortality. These findings have important implications for post-stroke hypertension care

INTRODUCTION: Resistant hypertension (RHTN) is an important condition affecting 29% of the hypertensive population in the U.S., especially among blacks. Sleep disturbances, like obstructive sleep apnea, insomnia, and short sleep duration, are increasingly recognized as underlying modifiable factors for RHTN. We evaluated associations of RHTN with short sleep duration among blacks with metabolic syndrome. METHODS: Data from the Metabolic Syndrome Outcome Study (MetSO), a NIH-funded cohort study characterizing metabolic syndrome (MetS) among blacks were analyzed. MetS was defined according to criteria from the Adult Treatment Panel (ATP III). RHTN was defined according to guidelines from the American Heart Association. Short sleep was defined as self-reported sleep duration <7 hrs experienced during a 24-hour period. RESULTS: Analysis was based on 1,035 patients (mean age: 62+/-14years; female: 69.2%). Of the sample, 90.4% were overweight /obese; 61.4% had diabetes; 74.8% had dyslipidemia; 30.2% had a history of heart disease; and 48% were at high risk for obstructive sleep apnea. Overall, 92.6% reported physician-diagnosed hypertension (HTN) and 20.8% met criteria for RHTN. Analyses showed those with RHTN were more likely to be short sleepers (26.8% vs. 14.9%, p< 0.001). Based on logistic regression analysis, adjusting for effects of age, sex, and medical comorbidities, patients with metabolic syndrome and RHTN had increased odds of being short sleepers (OR = 1.95, 95% CI: 1.28-2.97, p = 0.002). CONCLUSION: Among blacks with metabolic syndrome, patients meeting criteria for resistant hypertension showed a twofold greater likelihood of being short sleepers, prompting the need for sleep screening in this vulnerable population.

Blacks are especially susceptible to hypertension( HTN) and its associated organ damage leading to adverse cardiovascular, cerebrovascular and renal outcomes. Accordingly, HTN is particularly significant in contributing to the black-white racial differences in health outcomes in the US. As such, in order to address these health disparities, practical clinical practice guidelines (CPGs) on how to treat HTN, specifically in blacks, are needed. This review article is a timely addition to the literature because the most recent U.S. CPG more explicitly emphasizes race into the algorithmic management of HTN. However, recent clinical research cautions that use of race as a proxy to determine therapeutic response to pharmaceutical agents may be erroneous. This review will address the implications of the use of race in the hypertension CPGs. We will review the rationale behind the introduction of race into the U.S. CPG and the level of evidence that was available to justify this introduction. Finally, we will conclude with practical considerations in the treatment of HTN in blacks.

Uncontrolled blood pressure (BP) is linked to increased risk of obstructive sleep apnea (OSA). However, few studies have assessed the impact of this relationship among blacks with metabolic syndrome (MetS). Data for this study were collected from 1035 blacks (mean age=62+/-13 years) enrolled in the Metabolic Syndrome Outcome study. Patients with a score 6 on the Apnea Risk Evaluation System were considered at risk for OSA. Of the sample, 77.1% were low-to-high OSA risk and 92.3% were hypertensive, of which 16.8% had uncontrolled BP levels. Analysis also showed that 60.4% were diabetic, 8.9% had a stroke history, 74.3% had dyslipidemia, 69.8% were obese and 30.9% had a history of heart disease. Logistic regression analyses were employed to investigate associations between uncontrolled BP and OSA risk, while adjusting for known covariates. Findings showed that uncontrolled BP independently increased the odds of OSA risk twofold (odds ratio=2.02, 95% confidence interval=1.18-3.48, P<0.05). In conclusion, our findings show that uncontrolled BP was associated with a twofold greater risk of OSA among blacks, suggesting that those with MetS and who have uncontrolled BP should be screened for the presence of OSA.Journal of Human Hypertension advance online publication, 6 August 2015; doi:10.1038/jhh.2015.78.