Faculty Bibliography

Background Previous cross-sectional studies have shown conflicting results regarding the effects of television viewing and occupational sitting on cardiovascular disease ( CVD ) risk factors. The purpose of this study was to compare the association of both television viewing and occupational sitting with CVD events and all-cause mortality in blacks. Methods and Results Participants included 3592 individuals enrolled in the Jackson Heart Study, a community-based study of blacks residing in Jackson, Mississippi. Television viewing (<2, 2-4, and >4 h/day) and occupational sitting (never/seldom, sometimes, often/always) were self-reported. Over a median follow-up of 8.4 years, there were 129 CVD events and 205 deaths. The highest category of television viewing (>4 h/day) was associated with a greater risk for a composite CVD events/all-cause mortality end point compared with the lowest category (<2 h/day; hazard ratio, 1.49; 95% CI , 1.13-1.97). In contrast, the highest category of occupational sitting (often/always) was not associated with risk for a composite CVD events/all-cause mortality end point compared with the lowest category (never/seldom; hazard ratio, 0.90; 95% CI , 0.69-1.18). Moderate-to-vigorous physical activity moderated the association of television viewing with CVD events/all-cause mortality such that television viewing was not associated with greater risk among those with high moderate-to-vigorous physical activity levels. Conclusions Television viewing was associated with greater risk of CVD events and all-cause mortality, while occupational sitting had no association with these outcomes. These findings suggest that minimizing television viewing may be more effective for reducing CVD and mortality risk in blacks compared with reducing occupational sedentary behavior.

BACKGROUND:Mobile phone and tablet ownership have increased in the United States over the last decade, contributing to the growing use of mobile health (mHealth) interventions to help patients manage chronic health conditions like diabetes. However, few studies have characterized mobile device ownership and the presence of health-related apps on mobile devices in people with a self-reported history of hypertension. OBJECTIVE:This study aimed to describe the prevalence of smartphone, tablet, and basic mobile phone ownership and the presence of health apps by sociodemographic factors and self-reported hypertension status (ie, history) in a nationally representative sample of US adults, and to describe whether mobile devices are associated with health goal achievement, medical decision making, and patient-provider communication. METHODS:Data from 3285 respondents from the 2017 Health Information National Trends Survey were analyzed. Participants were asked if they owned a smartphone, tablet, or basic mobile phone and if they had health apps on a smartphone or tablet. Participants were also asked if their smartphones or tablets helped them achieve a health-related goal like losing weight, make a decision about how to treat an illness, or talk with their health care providers. Chi-square analyses were conducted to test for differences in mobile device ownership, health app presence, and app helpfulness by patient characteristics. RESULTS:Approximately 1460 (37.6% weighted prevalence) participants reported a history of hypertension. Tablet and smartphone ownership were lower in participants with a history of hypertension than in those without a history of hypertension (55% vs 66%, P=.001, and 86% vs 68%, P<.001, respectively). Participants with a history of hypertension were more likely to own a basic mobile phone only as compared to those without a history of hypertension (16% vs 9%, P<.001). Among those with a history of hypertension exclusively, basic mobile phone, smartphone, and tablet ownership were associated with age and education, but not race or sex. Older adults were more likely to report having a basic mobile phone only, whereas those with higher education were more likely to report owning a tablet or smartphone. Compared to those without a history of hypertension, participants with a history of hypertension were less likely to have health-related apps on their smartphones or tablets (45% vs 30%, P<.001) and report that mobile devices helped them achieve a health-related goal (72% vs 63%, P=.01). CONCLUSIONS:Despite the increasing use of smartphones, tablets, and health-related apps, these tools are used less among people with a self-reported history of hypertension. To reach the widest cross-section of patients, a mix of novel mHealth interventions and traditional health communication strategies (eg, print, web based, and in person) are needed to support the diverse needs of people with a history of hypertension.

Although there is an increasing agreement that hypertension is associated with cerebrovascular compromise, relationships between blood pressure (BP) and cerebral blood flow are not fully understood. It is not known what BP level, and consequently what therapeutic goal, is optimal for brain perfusion. Moreover, there is limited data on how BP affects hippocampal perfusion, a structure critically involved in memory. We conducted a cross-sectional (n=445) and longitudinal (n=185) study of adults and elderly without dementia or clinically apparent stroke, who underwent clinical examination and brain perfusion assessment (age 69.2±7.5 years, 62% women, 45% hypertensive). Linear models were used to test baseline BP-blood flow relationship and to examine how changes in BP influence changes in perfusion. In the entire group, systolic BP (SBP) was negatively related to cortical (β=-0.13, P=0.005) and hippocampal blood flow (β=-0.12, P=0.01). Notably, this negative relationship was apparent already in subjects without hypertension. Hypertensive subjects showed a quadratic relationship between SBP and hippocampal blood flow (β=-1.55, P=0.03): Perfusion was the highest in subjects with mid-range SBP around 125 mm Hg. Longitudinally, in hypertensive subjects perfusion increased with increased SBP at low baseline SBP but increased with decreased SBP at high baseline SBP. Cortical and hippocampal perfusion decrease with increasing SBP across the entire BP spectrum. However, in hypertension, there seems to be a window of mid-range SBP which maximizes perfusion.

Shared decision making (SDM) has increasingly become appreciated as a method to enhance patient involvement in health care decisions, patient-provider communication, and patient-centered care. Compared with cancer, the literature on SDM for hypertension is more limited. This is notable because hypertension is the leading risk factor for cardiovascular disease and both conditions disproportionately affect certain subgroups of patients. However, SDM holds promise for improving health equity by better engaging patients in their health care. For example, many reasonable options exist for treating uncomplicated stage-1 hypertension. These options include medication and/or lifestyle changes such as healthy eating, physical activity, and weight management. Deciding on "the best" plan of action for hypertension management can be challenging because patients have different goals and preferences for treatment. As hypertension management may be considered a preference-sensitive decision, adherence to treatment plans may be greater if those plans are concordant with patient preferences. SDM can be implemented in a broad array of care contexts, from patient-provider dyads to interprofessional collaborations. In this article, we argue that SDM has the potential to advance health equity and improve clinical care. We also propose a process to evaluate whether SDM has occurred and suggest future directions for research.

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).

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.