Evolution and Evaluation of a Quality and Patient Safety Fellowship for Practicing Health Professionals.

Developing clinical quality champions is an important strategy for improving health care quality. The NorthShore Quality and Patient Safety Fellowship was a yearlong program for practicing physicians devoting 4 hours/wk to a didactic curriculum and quality practicum. Thirty-seven clinicians completed the Fellowship from 2011 to 2018. Sixty percent of graduates reported a significant impact on their quality-related career trajectory, with 44% of early graduates and 64% of recent graduates reporting a new quality role or responsibility as a result of the Fellowship. Fifty-four percent of practicum projects were adopted or adapted by the organization. The Fellowship has been an effective framework to identify and train future quality champions and has led to further quality leadership opportunities for many graduates. Evolution of the Fellowship aligned practicum projects with organizational quality priorities. This curricular framework may be useful for other organizations that seek to develop quality champions among practicing physicians.

Effect of Monoclonal Antibody Treatment on Clinical Outcomes in Ambulatory Patients With Coronavirus Disease 2019.

We compared rates of emergency department visits or hospitalizations among ambulatory coronavirus disease 2019 (COVID-19) patients treated with monoclonal antibody (mAb) therapy (n = 305) vs untreated patients (n = 6354). Treatment was associated with decreased encounters within 30 days (adjusted odds ratio, 0.23 [95% confidence interval, .15-.36]). Our findings support treatment of acute COVID-19 with mAbs.

Using the RE-AIM framework to evaluate internal and external validity of mobile phone-based interventions in diabetes self-management education and support.

OBJECTIVE: We evaluated the extent to which studies that tested short message service (SMS)- and application (app)-based interventions for diabetes self-management education and support (DSMES) report on factors that inform both internal and external validity as measured by the RE-AIM (Reach, Efficacy/Effectiveness, Adoption, Implementation, and Maintenance) framework. MATERIALS AND METHODS: We systematically searched PubMed, Embase, Web of Science, CINAHL (Cumulative Index of Nursing and Allied Health Literature), and IEEE Xplore Digital Library for articles from January 1, 2009, to February 28, 2019. We carried out a multistage screening process followed by email communications with study authors for missing or discrepant information. Two independent coders coded eligible articles using a 23-item validated data extraction tool based on the RE-AIM framework. RESULTS: Twenty studies (21 articles) were included in the analysis. The comprehensiveness of reporting on the RE-AIM criteria across the SMS- and app-based DSMES studies was low. With respect to internal validity, most interventions were well described and primary clinical or behavioral outcomes were measured and reported. However, gaps exist in areas of attrition, measures of potential negative outcomes, the extent to which the protocol was delivered as intended, and description on delivery agents. Likewise, we found limited information on external validity indicators across adoption, implementation, and maintenance domains. CONCLUSIONS: Reporting gaps were found in internal validity but more so in external validity in the current SMS- and app-based DSMES literature. Because most studies in this review were efficacy studies, the generalizability of these interventions cannot be determined. Future research should adopt the RE-AIM dimensions to improve the quality of reporting and enhance the likelihood of translating research to practice.

Development and validation of an asthma exacerbation prediction model using electronic health record (EHR) data.

Objective: Asthma exacerbations are associated with significant morbidity, mortality, and cost. Accurately identifying asthma patients at risk for exacerbation is essential. We sought to develop a risk prediction tool based on routinely collected data from electronic health records (EHRs).Methods: From a repository of EHRs data, we extracted structured data for gender, race, ethnicity, smoking status, use of asthma medications, environmental allergy testing BMI status, and Asthma Control Test scores (ACT). A subgroup of this population of patients with asthma that had available prescription fill data was identified, which formed the primary population for analysis. Asthma exacerbation was defined as asthma-related hospitalization, urgent/emergent visit or oral steroid use over a 12-month period. Univariable and multivariable statistical analysis was completed to identify factors associated with exacerbation. We developed and tested a risk prediction model based on the multivariable analysis.Results: We identified 37,675 patients with asthma. Of those, 1,787 patients with asthma and fill data were identified, and 979 (54.8%) of them experienced an exacerbation. In the multivariable analysis, smoking (OR = 1.69, CI: 1.08-2.64), allergy testing (OR = 2.40, CI: 1.54-3.73), obesity (OR = 1.66, CI: 1.29-2.12), and ACT score reflecting uncontrolled asthma (OR = 1.66, CI: 1.10-2.29) were associated with increased risk of exacerbation. The area-under-the-curve (AUC) of our model in a combined derivation and validation cohort was 0.67.Conclusion: Despite use of rigorous methodology, we were unable to produce a predictive model with an acceptable degree of accuracy and AUC to be clinically useful.

Text Messaging to Improve Disease Management in Patients With Painful Diabetic Peripheral Neuropathy.

Purpose The purpose of the study was to determine the impact of educational text messages on diabetes self-management activities and outcomes in patients with painful diabetic peripheral neuropathy (pDPN). Methods Patients with pDPN identified from a large integrated health system who agreed to participate were randomized to 6 months of usual care (UC) or UC plus twice-daily diabetes self-management text messages (UC+TxtM). Outcomes included the Pain Numerical Rating Scale, Summary of Diabetes Self-Care Activities (SDSCA), questions on diabetes health beliefs, and glycated hemoglobin (A1C). Changes from baseline were evaluated at 6 months and compared between groups. Results Demographic characteristics were balanced between groups (N = 62; 53% female, mean age = 63 years, 94% type 2 diabetes), as were baseline measures. After 6 months, pain decreased with UC+TxtM from 6.3 to 5.5 and with UC from 6.5 to 6.0, with no difference between groups. UC+TxtM but not UC was associated with significant improvements from baseline on all SDSCA subscales. On diabetes health beliefs, UC+TxtM patients reported significantly increased benefits and reduced barriers and susceptibility relative to UC at 6 months. A1C declined in both groups, but neither change was significant relative to baseline. Conclusions Patients with pDPN who receive twice-daily text messages regarding diabetes management reported reduced pain relative to baseline, although this change was not significant compared with usual care. In addition, text messaging was associated with increased self-management activities and improved diabetes health beliefs and total self-care. These results warrant further investigation.

Methodological Standards for Meta-Analyses and Qualitative Systematic Reviews of Cardiac Prevention and Treatment Studies: A Scientific Statement From the American Heart Association.

Meta-analyses are becoming increasingly popular, especially in the fields of cardiovascular disease prevention and treatment. They are often considered to be a reliable source of evidence for making healthcare decisions. Unfortunately, problems among meta-analyses such as the misapplication and misinterpretation of statistical methods and tests are long-standing and widespread. The purposes of this statement are to review key steps in the development of a meta-analysis and to provide recommendations that will be useful for carrying out meta-analyses and for readers and journal editors, who must interpret the findings and gauge methodological quality. To make the statement practical and accessible, detailed descriptions of statistical methods have been omitted. Based on a survey of cardiovascular meta-analyses, published literature on methodology, expert consultation, and consensus among the writing group, key recommendations are provided. Recommendations reinforce several current practices, including protocol registration; comprehensive search strategies; methods for data extraction and abstraction; methods for identifying, measuring, and dealing with heterogeneity; and statistical methods for pooling results. Other practices should be discontinued, including the use of levels of evidence and evidence hierarchies to gauge the value and impact of different study designs (including meta-analyses) and the use of structured tools to assess the quality of studies to be included in a meta-analysis. We also recommend choosing a pooling model for conventional meta-analyses (fixed effect or random effects) on the basis of clinical and methodological similarities among studies to be included, rather than the results of a test for statistical heterogeneity.

The Role Of NOACs in Atrial Fibrillation Management: A Qualitative Study.

Patients with atrial fibrillation (AF) benefit from anticoagulation to reduce stroke risk. However, 30-60% of patients with AF are not anticoagulated. This study explored physicians' reasons for under-treatment of AF, focusing on the role of the novel oral anticoagulants (NOACs). We interviewed primary care physicians and cardiologists involved in AF management in a variety of practice settings. We conducted interviews using a semi-structured format and analyzed the data using the Framework Method. Four themes emerged. First, the likelihood of physicians to prescribe NOACs depends upon their willingness to try new medications and their successful experience with them. Second, physicians typically balance the benefits and risks of anticoagulation in AF patients, although not always accurately. Third, patient convenience and preferences, as well as physician convenience, are important when considering anticoagulation. Finally, concerns regarding the out-of-pocket cost of NOACs deter many physicians from prescribing them. The persistence of under-treatment in AF despite the availability of effective therapies suggests that new strategies are needed to improve physician knowledge and practice. These strategies should enhance physician awareness of AF under-treatment, emphasize accurate assessment of bleeding risk among AF patients, compare the safety, efficacy, and convenience of NOACs relative to warfarin, and address physician concerns regarding the out-of-pocket cost of NOACs. Guidelines and decision supports which promote physician knowledge in these areas have the potential to increase oral anticoagulant use and reduce preventable morbidity and mortality.

Physician perspectives on de-intensifying diabetes medications.

Guidelines for diabetes care recommend that physicians select individualized glycemic goals based on life expectancy, diabetes duration, comorbidity, and resources/support. When patients have stable hemoglobin A1C (HbA1C) levels, guidelines lack recommendations on when diabetes medications should be de-intensified.To understand physicians' perspectives on de-intensifying diabetes medications in patients with type 2 diabetes.Cross-sectional survey, (February-June, 2015).Academic medical center and suburban integrated health system.Primary care and endocrinology physicians.Physicians' self-reported: awareness, agreement, and frequency of individualizing HbA1C goals; practice of de-intensifying diabetes medications; HbA1C values at which physicians de-intensify diabetes medications; and other patient factors physicians consider when de-intensifying diabetes medications.Response rate was 73% (156/213). Most physicians (78%) responded they were familiar with recommendations to individualize HbA1C goals. For patients with stable HbA1C levels, 80% of physicians reported they had initiated conversations about stopping medications; however, physicians differed in predefined HbA1C levels used to initiate conversations (HbA1C < 5.7%: 14%; HbA1C < 6.0%: 31%; HbA1C < 6.5%: 22%; individualized level: 21%). In multiple logistic regression, women physicians (odds ratio [OR] 3.0; confidence interval [CI] 1.1-8.2; P = 0.03) and physicians practicing fewer than 20 years (OR 2.8; CI 1.01-7.7; P = 0.048) were more likely to report de-intensifying diabetes medications.Individualizing glycemic goals and de-intensifying treatments are concepts well accepted by physicians in our sample. However, physicians vary considerably in reporting how they carry out recommendations to individualize and may be missing opportunities to stop or taper diabetes medications based on patients' individualized glycemic goals.

Evaluating Primary Care Physician Performance in Diabetes Glucose Control.

This study demonstrates that it is possible to identify primary care physicians (PCPs) who perform better or worse than expected in managing diabetes. Study subjects were 14 033 adult diabetics and their 133 PCPs. Logistic regression was used to predict the odds that a patient would have uncontrolled diabetes (defined as HbA1c ≥8%) based on patient-level characteristics alone. A second model predicted diabetes control from physician-level identity and characteristics alone. A third model combined the patient- and physician-level models using hierarchical logistic regression. Physician performance is calculated from the difference between the expected and observed proportions of patients with uncontrolled diabetes. After adjusting for important patient characteristics, PCPs were identified who performed better or worse than expected in managing diabetes. This strategy can be used to characterize physician performance in other chronic conditions. This approach may lead to new insights regarding effective and ineffective treatment strategies.

Perceptions of racism in healthcare among patients with systemic lupus erythematosus: a cross-sectional study.

BACKGROUND: Racial disparities in the clinical outcomes of systemic lupus erythematosus (SLE) exist. Perceived racial discrimination may contribute to disparities in health. OBJECTIVES: To determine if perceived racism in healthcare differs by race among patients with SLE and to evaluate its contribution to racial disparities in SLE-related outcomes. METHODS: 163 African-American (AA) and 180 white (WH) patients with SLE were enrolled. Structured interviews and chart reviews were done to determine perceptions of racism, SLE-related outcomes (Systemic Lupus International Collaborating Clinics (SLICC) Damage Index, SLE Disease Activity, Center for Epidemiologic Studies-Depression (CES-D)), and other variables that may affect perceptions of racism. Serial hierarchical multivariable logistic regression models were conducted. Race-stratified analyses were also performed. RESULTS: 56.0% of AA patients compared with 32.8% of WH patients had high perceptions of discrimination in healthcare (p<0.001). This difference remained (OR 4.75 (95% CI 2.41 to 8.68)) after adjustment for background, identity and healthcare experiences. Female gender (p=0.012) and lower trust in physicians (p<0.001) were also associated with high perceived racism. The odds of having greater disease damage (SLICC damage index ≥2) were higher in AA patients than in WH patients (crude OR 1.55 (95% CI 1.01 to 2.38)). The odds of having moderate to severe depression (CES-D ≥17) were also higher in AA patients than in WH patients (crude OR 1.94 (95% CI 1.26 to 2.98)). When adjusted for sociodemographic and clinical characteristics, racial disparities in disease damage and depression were no longer significant. Among AA patients, higher perceived racism was associated with having moderate to severe depression (adjusted OR 1.23 (95% CI 1.05 to 1.43)) even after adjusting for sociodemographic and clinical variables. CONCLUSIONS: Perceptions of racism in healthcare were more common in AA patients than in WH patients with SLE and were associated with depression. Interventions aimed at modifiable factors (eg, trust in providers) may reduce higher perceptions of race-based discrimination in SLE.

Racial differences in treatment preferences among lupus patients: a two-site study.

OBJECTIVES: To identify the demographic, clinical and psychosocial characteristics associated with racial differences in willingness to receive cyclophosphamide (CYC) or participate in a research clinical trial (RCT) among patients with systemic lupus erythematosus (SLE). METHODS: Data from 163 African-American (AA) and 180 white (WH) SLE patients were evaluated. Structured interviews and chart reviews were conducted to determine treatment preferences in hypothetical situations and identify variables that may affect preferences. Logistic regression models were performed to evaluate the relationship between patient preferences and race, adjusted for patient characteristics. RESULTS: Among patients who had never received CYC (n=293), 62.9% AAs compared to 87.6% WHs were willing to receive the medication (p<0.001). This difference persisted (OR 0.37 [95% CI, 0.16-0.87]) after adjusting for socio-demographics, clinical characteristics, and perceptions about CYC and physicians. Income and higher perception of CYC effectiveness were other determinants of willingness to receive CYC. Among patients who had never participated in an RCT (n=326), 64.9% AAs compared to 84.3% WHs were willing to do so (p<0.001). This difference persisted (OR 0.41 [95% CI, 0.20-0.83]) after adjusting for socio-demographics, clinical context and patients' perceptions of physicians. SLE damage score, number of immunosuppressive medications and higher trust in physicians were also independently associated with willingness to participate in an RCT. CONCLUSIONS: Race remains an independent determinant of treatment preferences after adjustment for income, medications, medication efficacy expectations and trust in physicians. While some factors related to racial differences in preferences are relatively fixed, others that may alleviate these differences also exist, including medication beliefs and provider trust.

A technology-based quality innovation to identify undiagnosed hypertension among active primary care patients.

PURPOSE: The goal of this study was to develop a technology-based strategy to identify patients with undiagnosed hypertension in 23 primary care practices and integrate this innovation into a continuous quality improvement initiative in a large, integrated health system. METHODS: In phase 1, we reviewed electronic health records (EHRs) using algorithms designed to identify patients at risk for undiagnosed hypertension. We then invited each at-risk patient to complete an automated office blood pressure (AOBP) protocol. In phase 2, we instituted a quality improvement process that included regular physician feedback and office-based computer alerts to evaluate at-risk patients not screened in phase 1. Study patients were observed for 24 additional months to determine rates of diagnostic resolution. RESULTS: Of the 1,432 patients targeted for inclusion in the study, 475 completed the AOBP protocol during the 6 months of phase 1. Of the 1,033 at-risk patients who remained active during phase 2, 740 (72%) were classified by the end of the follow-up period: 361 had hypertension diagnosed, 290 had either white-coat hypertension, prehypertension, or elevated blood pressure diagnosed, and 89 had normal blood pressure. By the end of the follow-up period, 293 patients (28%) had not been classified and remained at risk for undiagnosed hypertension. CONCLUSIONS: Our technology-based innovation identified a large number of patients at risk for undiagnosed hypertension and successfully classified the majority, including many with hypertension. This innovation has been implemented as an ongoing quality improvement initiative in our medical group and continues to improve the accuracy of diagnosis of hypertension among primary care patients.

Evaluating the role of key learning theories in ECHO: a telehealth educational program for primary care providers.

BACKGROUND: ECHO (Extension for Community Healthcare Outcomes) is a telehealth educational program that uses videoconference technology to train community-based primary care providers (PCP's) on the management of complex, chronic diseases. The main components of ECHO are didactics, case presentations, and case-based learning. ECHO was developed using the key principles of Social Cognitive Theory, Situated Learning Theory, and Community of Practice Theory. OBJECTIVES: In a prior study, we implemented an ECHO curriculum to improve management of resistant hypertension. The goals of the current study were to determine the extent to which the learning theories served as the foundation of the ECHO curriculum and identify opportunities to more effectively incorporate key principles of these theories into the ECHO program. METHODS: We conducted semi-structured interviews with the nine clinicians who participated in the pilot curriculum. A community-based PCP assisted with question development, analysis, and manuscript preparation. We analyzed the interview transcripts using Directed Content Analysis. RESULTS: Transcript analysis supported the contention that ECHO is based upon Social Cognitive Theory, Situated Learning Theory, and Community of Practice Theory. Comments from study participants highlighted benefits of each theory's principles. Conversely, they also suggested we could improve our implementation of ECHO by adhering more closely to specific learning theory strategies. CONCLUSIONS: Our results indicate that ECHO indeed reflects the key tenants of Social Cognitive Theory, Situated Learning Theory, and Community of Practice Theory. Several aspects of our ECHO curriculum can be improved by more complete application of these learning theories.

A study of racial/ethnic differences in treatment preferences among lupus patients.

OBJECTIVES: To determine whether there are racial/ethnic differences in the willingness of SLE patients to receive CYC or participate in clinical trials, and whether demographic, psychosocial and clinical characteristics contribute to these differences. METHODS: Data from 120 African-American and 62 white lupus patients were evaluated. Structured telephone interviews were conducted to determine treatment preferences, as well as to study characteristics and beliefs that may affect these preferences. Data were analysed using serial hierarchical multivariate logistic regression and deviances were calculated from a saturated model. RESULTS: Compared with their white counterparts, African-American SLE patients expressed less willingness to receive CYC (67.0% vs 84.9%, P = 0.02) if their lupus worsened. This racial/ethnic difference remained significant after adjusting for socioeconomic and psychosocial variables. Logistic regression analysis showed that African-American race [odds ratio (OR) 0.29, 95% CI 0.10, 0.80], physician trust (OR 1.05, 95% CI 1.00, 1.12) and perception of treatment effectiveness (OR 1.40, 95% CI 1.22, 1.61) were the most significant determinants of willingness to receive CYC. A trend in difference by race/ethnicity was also observed in willingness to participate in a clinical trial, but this difference was not significant. CONCLUSION: This study demonstrated reduced likelihood of accepting CYC in African-American lupus patients compared with white lupus patients. This racial/ethnic variation was associated with belief in medication effectiveness and trust in the medical provider, suggesting that education about therapy and improved trust can influence decision-making among SLE patients.

Using an established telehealth model to train urban primary care providers on hypertension management.

The objective of this study was to determine whether a videoconference-based telehealth network can increase hypertension management knowledge and self-assessed competency among primary care providers (PCPs) working in urban Federally Qualified Health Centers (FQHCs). We created a telehealth network among 6 urban FQHCs and our institution to support a 12-session educational program designed to teach state-of-the-art hypertension management. Each 1-hour session included a brief lecture by a university-based hypertension specialist, case presentations by PCPs, and interactive discussions among the specialist and PCPs. Twelve PCPs (9 intervention and 3 controls) were surveyed at baseline and immediately following the curriculum. The mean number of correct answers on the 26-item hypertension knowledge questionnaire increased in the intervention group (13.11 [standard deviation (SD)]=3.06) to 17.44 [SD=1.59], P<.01) but not among controls (14.33 [SD=3.21] to 13.00 [SD=3.46], P=.06). Similarly, the mean score on a 7-item hypertension management self-assessed competency scale increased in the intervention group (4.68 [SD=0.94] to 5.41 [SD=0.89], P<.01) but not among controls (5.28 [SD=0.43] to 5.62 [SD=0.67], P=.64). This model holds promise for enhancing hypertension care provided by urban FQHC providers.

Serum 2-methoxyestradiol, an estrogen metabolite, is positively associated with serum HDL-C in a population-based sample.

Serum HDL cholesterol (HDL-C) is inversely associated with coronary artery disease, ischemic stroke, and atherosclerosis in men and women. Among postmenopausal women, oral conjugated equine estrogen (CEE) increases serum HDL-C. This is due to activation of hepatic nuclear estrogen receptors, resulting in increased HDL-C expression, as well as modulation of proteins which metabolize HDL-C. 2-methoxyestradiol (2-MeOE2), an estrogen metabolite, has several vasculoprotective effects and may play a role in HDL-C production. 2-MeOE2 inhibits HMG-CoA reductase in vitro but no study has examined the relationship between serum 2-MeOE2 and serum HDL-C. A population-based sample provided information regarding demographic characteristics and use of antihyperlipidemic medications. Serum was analyzed for 17ß-estradiol (E2), estrogen metabolites (EMs), and lipoproteins. Results included serum EM data from 51 men and 47 postmenopausal women. Preliminary analysis revealed no correlation between 2-MeOE2 and serum HDL-C in men so the current analysis includes only women (N = 40) with no missing demographic, medication, EM, or lipoprotein data. Linear regression revealed that serum 2-MeOE2 and antihyperlipidemic medications were positively associated with serum HDL-C (ß = 0.276, P = 0.043, and ß = 0.307, P = 0.047, respectively) when age, race/ethnicity, and body mass index were held constant. Prospective studies are needed to determine if 2-MeOE2 is causally related to HDL-C in women.

The health promise of Promise Neighborhoods.

The Promise Neighborhoods initiative from the U.S. Department of Education offers grant funding to develop innovative educational and community support programs in distressed communities. Inspired by the success of the Harlem Children's Zone (HCZ), this initiative encourages similarly pioneering approaches to assist low-income children attain academic and social success. An increasing body of evidence suggests that health benefits accrue when youth are immersed in nurturing educational environments. This article summarizes key evidence for this phenomenon, as well as theories that suggest that Promise Neighborhoods can have as great an effect on health as they do on educational achievement.

A meta-analysis of interventions to reduce loneliness.

Social and demographic trends are placing an increasing number of adults at risk for loneliness, an established risk factor for physical and mental illness. The growing costs of loneliness have led to a number of loneliness reduction interventions. Qualitative reviews have identified four primary intervention strategies: (a) improving social skills, (b) enhancing social support, (c) increasing opportunities for social contact, and (d) addressing maladaptive social cognition. An integrative meta-analysis of loneliness reduction interventions was conducted to quantify the effects of each strategy and to examine the potential role of moderator variables. Results revealed that single-group pre-post and nonrandomized comparison studies yielded larger mean effect sizes relative to randomized comparison studies. Among studies that used the latter design, the most successful interventions addressed maladaptive social cognition. This is consistent with current theories regarding loneliness and its etiology. Theoretical and methodological issues associated with designing new loneliness reduction interventions are discussed.

Dietary fiber and serum 16α-hydroxyestrone, an estrogen metabolite associated with lower systolic blood pressure.

OBJECTIVE: We recently identified an inverse relation between systolic blood pressure (SBP) and serum 16α-hydroxyestrone, a metabolite of 17ß-estradiol, in postmenopausal women. Formation of 16α-hydroxyestrone is catalyzed primarily by CYP1A2, a cytochrome P450 enzyme. The objective of this study was to evaluate the relations between known modifiers of CYP1A2 activity and serum 16α-hydroxyestrone in postmenopausal women. We hypothesized that fruits, vegetables, and grains, which contain more soluble fiber (a known inducer of CYP1A2) as a proportion of total fiber, would be more positively associated with serum 16α-hydroxyestrone than legumes, which contain less soluble fiber as a proportion of total fiber. METHODS: Serum from a population-based sample of 42 postmenopausal women 55 to 69 y of age living in Cook County, Illinois, was assayed for 16α-hydroxyestrone using mass spectrometry. Ordinal logistic regression was used to evaluate the cross-sectional relation between dietary fiber and serum 16α-hydroxyestrone after adjusting for multiple covariates. RESULTS: Compared with dietary fiber from legumes, dietary fiber from fruits and vegetables was associated with a greater log odds (B=0.201, P=0.036) of having higher serum concentrations of 16α-hydroxyestrone. The log odds of having higher serum concentrations of 16α-hydroxyestrone was also lower in African-American women (B=-2.300, P=0.030) compared with white women. CONCLUSION: These results are consistent with previous studies demonstrating a negative relation between SBP and dietary fruits and vegetables and a positive relation between African-American race and SBP. Further research is needed regarding dietary factors that may influence the serum concentration of 16α-hydroxyestrone.

Loneliness predicts increased blood pressure: 5-year cross-lagged analyses in middle-aged and older adults.

Loneliness is a prevalent social problem with serious physiological and health implications. However, much of the research to date is based on cross-sectional data, including our own earlier finding that loneliness was associated with elevated blood pressure (Hawkley, Masi, Berry & Cacioppo, 2006). In this study, we tested the hypothesis that the effect of loneliness accumulates to produce greater increases in systolic blood pressure (SBP) over a 4-year period than are observed in less lonely individuals. A population-based sample of 229 50- to 68-year-old White, Black, and Hispanic men and women in the Chicago Health, Aging, and Social Relations Study was tested annually for each of 5 consecutive years. Cross-lagged panel analyses revealed that loneliness at study onset predicted increases in SBP 2, 3, and 4 years later (B = 0.152, SE = 0.091, p < .05, one-tailed). These increases were cumulative such that higher initial levels of loneliness were associated with greater increases in SBP over a 4-year period. The effect of loneliness on SBP was independent of age, gender, race or ethnicity, cardiovascular risk factors, medications, health conditions, and the effects of depressive symptoms, social support, perceived stress, and hostility.