Finding Answers: Disparities Research for Change, a national program of the Robert Wood Johnson Foundation.

A growing body of research demonstrates that psychosocial factors play an important role in the development of hypertension. Previous reviews have identified several key factors (i.e., occupational stress) that contribute to the onset of hypertension, however they are now outdated. In this review, we provide an updated synthesis of the literature from 2010 to April 2014. We identified 21 articles for inclusion in the review, of which there were six categories of psychosocial stressors: occupational stress, personality, mental health, housing instability, social support/isolation, and sleep quality. Sixteen of the studies reported an association between the psychosocial stressor and blood pressure. While several findings were consistent with previous literature, new findings regarding mediating and moderating factors underlying the psychosocial-hypertension association help to untangle inconsistences reported in the literature. Moreover, sleep quality is a novel additional factor that should undergo further exploration. Areas for future research based on these findings are discussed.

Within our sample of inner city African Americans with hypertension, racial discrimination was associated with lower medication adherence, and this association was partially mediated by trust in physicians. Patient, physician and system approaches to increase "earned" trust may enhance existing interventions for promoting medication adherence.

Background Few studies have examined the social and behavioral predictors of insufficient sleep. Objective To assess the social and behavioral predictors of insufficient sleep in the U.S. population. Methods Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) were analyzed. Telephone interviews were conducted in six representative states that completed the optional sleep module. A total of 31,059 respondents were included in the present analysis. BRFSS-provided weights were applied to analyses to adjust for the use of complex design. Results The mean age for the sample was 56 ± 16 years, with 63% of the sample being female; 88% identified as non-Hispanic white and 12% identified as non-Hispanic black; 42% were not married and 8% did not have a high school degree. The prevalence of insufficient sleep (<7 hours) was 37%. Multivariate-adjusted logistic regression revealed associations of four important factors with insufficient sleep, which were: working more than 40 hours per week [OR= 1.65, p < 0.001, 95% CI = 1.65–1.66], black race/ethnicity [OR = 137, p < 0.001,95% CI = 1.37–1.38], history of heart disease [OR = 1.26, p < 0.001,95% CI = 1.25–1.28], care-giving to family/friends [OR = 1.50, p < 0.001,95% CI = 1.49–1.51], and lack of social and emotional support [OR = 1.24, p < 0.001, 95% CI = 1. 23–1.25]. Conclusion Social and behavioral predictors of health uniquely contribute to the report of insufficient sleep and should be considered when developing programs to increase awareness of the adverse effects of insufficient sleep.

Background In rural communities, there are gaps in describing the design and effectiveness of technology interventions for treating diseases and addressing determinants of health. Objective The aim of this study is to evaluate literature on current applications, therapeutic areas, and outcomes of telehealth interventions in rural communities in the United States. Methods A narrative review of studies published on PubMed from January 2017 to December 2020 was conducted. Key search terms included telehealth, telemedicine, rural, and outcomes. Results Among 15 included studies, 9 studies analyzed telehealth interventions in patients, 3 in health care professionals, and 3 in both patients and health care professionals. The included studies reported positive outcomes and experiences of telehealth use in rural populations including acceptability and increased satisfaction; they also noted that technology is convenient and efficient. Other notable benefits included decreased direct and indirect costs to the patient (travel cost and time) and health care service provider (staffing), lower onsite health care resource utilization, improved physician recruitment and retention, improved access to care, and increased education and training of patients and health care professionals. Conclusions Telehealth models were associated with positive outcomes for patients and health care professionals, suggesting these models are feasible and can be effective. Future telehealth interventions and studies examining these programs are warranted, especially in rural communities, and future research should evaluate the impact of increased telehealth use as a result of the COVID-19 pandemic.