Independent Effects of Neighborhood Poverty and Psychosocial Stress on Obesity Over Time.

The objective of the study was to examine the independent effects of neighborhood poverty and psychosocial stress on increases in central adiposity over time. Data are from a community sample of 157 Non-Hispanic Black, Non-Hispanic White, and Hispanic adults collected in 2002-2003 and 2007-2008, and from the 2000 Decennial Census. The dependent variable was waist circumference. Independent variables included neighborhood poverty, perceived neighborhood physical environment, family stress, safety stress, everyday unfair treatment, and a cumulative stress index. Weighted 3-level hierarchical linear regression models for a continuous outcome were used to assess the effects of neighborhood poverty and psychosocial stress on central adiposity over time. We also assessed whether psychosocial stress mediated the association between neighborhood poverty and central adiposity. Neighborhood poverty and everyday unfair treatment at baseline were independently associated with increases in central adiposity over time, accounting for the other indicators of stress. Perceptions of the neighborhood physical environment and cumulative stress mediated associations between neighborhood poverty and central adiposity. Results suggest that residing in neighborhoods with higher concentrations of poverty and exposure to everyday unfair treatment independently heighten risk of increased central adiposity over time. Associations between neighborhood poverty and central adiposity were mediated by perceptions of the neighborhood physical environment and by the cumulative stress index. Public health strategies to reduce obesity should consider neighborhood poverty and exposure to multiple sources of psychosocial stress, including everyday unfair treatment.

Racial and Economic Disparities in Diabetes in a Large Primary Care Patient Population.

OBJECTIVE: We sought to determine if, after adjusting for economic status, race is an independent risk factor for glycemic control among diabetic patients in a large primary care patient population. DESIGN SETTING PARTICIPANTS: We performed a retrospective chart review of 264,000 primary care patients at our large, urban academic medical center to identify patients with a diagnosis of diabetes (n=25,123). Zip code was used to derive median income levels using US Census Bureau demographic information. Self-reported race was extracted from registration data. MAIN OUTCOME MEASURES: The prevalence of diabetes, average glycated hemoglobin (A1c), and prevalence of uncontrolled diabetes of White and Black patients at all income levels were determined. RESULTS: White patients had a lower average A1c level and a lower prevalence of diabetes than Black patients in all income quartiles (P<.001). Among White patients, the prevalence of diabetes (P<.001), uncontrolled diabetes (P<.001), and A1c level (P=.014) were inversely proportional to income level. No significant difference in the prevalence of diabetes (P=.214), A1c level (P=.282), or uncontrolled diabetes related to income was seen in Black patients (P=.094). CONCLUSIONS: Race had an independent association with diabetes prevalence and glycemic control. Our study does not support two prominent theories that economic and insurance status are the main factors in diabetes disparities, as we attempted to control for economic status and nearly every patient had insurance. It will be important for future analysis to explore how health care system factors affect these observed gaps in quality.

NEIGHBOURHOOD POVERTY, PERCEIVED DISCRIMINATION AND CENTRAL ADIPOSITY IN THE USA: INDEPENDENT ASSOCIATIONS IN A REPEATED MEASURES ANALYSIS.

This study examines the independent effects of neighbourhood context (i.e. neighbourhood poverty) and exposure to perceived discrimination in shaping risk of obesity over time. Weighted three-level hierarchical linear regression models for a continuous outcome were used to assess the independent effects of neighbourhood poverty and perceived discrimination on obesity over time in a sample of 157 non-Hispanic Black, non-Hispanic White and Hispanic adults in Detroit, USA, in 2002/2003 and 2007/2008. Independent associations were found between neighbourhood poverty and perceived discrimination with central adiposity over time. Residents of neighbourhoods with high concentrations of poverty were more likely to show increases in central adiposity compared with those in neighbourhoods with lower concentrations of poverty. In models adjusted for BMI, neighbourhood poverty at baseline was associated with a greater change in central adiposity among participants who lived in neighbourhoods in the second (B=3.79, p=0.025) and third (B=3.73, p=0.024) poverty quartiles, compared with those in the lowest poverty neighbourhoods. The results from models that included both neighbourhood poverty and perceived discrimination showed that both were associated with increased risk of increased central adiposity over time. Residents of neighbourhoods in the second (B=9.58, p<0.001), third (B=8.25, p=0.004) and fourth (B=7.66, p=0.030) quartiles of poverty were more likely to show greater increases in central adiposity over time, compared with those in the lowest poverty quartile, with mean discrimination at baseline independently and positively associated with increases in central adiposity over time (B=2.36, p=0.020). The results suggest that neighbourhood poverty and perceived discrimination are independently associated with a heightened risk of increase in central adiposity over time. Efforts to address persistent disparities in central adiposity in the USA should include strategies to reduce high concentrations of neighbourhood poverty as well as discrimination.

Group medicare wellness visits: A pilot exploration of an approach to wellness and preventive medicine for older adults.

Introduction: The Medicare annual wellness visit was designed to address health risks and encourage evidence-based preventive care in aging. However, it can be challenging for providers to dedicate time for comprehensive attention to wellness during these visits. Our project implements a group setting for Medicare wellness visits (GMWV) as an efficient method for delivering high value preventive care. Methods: Three hundred patients from two primary care ambulatory clinics in Detroit, MI in need of their annual Medicare visit were invited to participate in the pilot GMWV. Fifty-eight patients agreed and completed their GMWV. The visit included collection of vitals, vision screening, and risk assessment during check-in, followed by educational wellness presentations led by an interdisciplinary team of six healthcare professionals. Patients completed a post visit-satisfaction survey and researchers calculated rates of completion of health maintenance gaps (HMG), i.e. immunizations and cancer screenings, among participants. Results: The average age of participants (N female = 48) was 74 years old. Thirty-four participants had more than one HMG at baseline. On average, 8 % of immunization gaps and 12 % of screening gaps were completed at or within one-year post GMWV. Participant feedback reported that 82 % of patients felt that they learned something new from the presentation and 81 % of patients felt satisfied with the amount of time they spent with their physician. Discussion: GMWV is a feasible approach to promoting wellness and healthy aging that patients find satisfying although, additional study is needed to compare the effectiveness of this model to standard care.

Hypertension: development of a prediction model to adjust self-reported hypertension prevalence at the community level.

BACKGROUND: Accurate estimates of hypertension prevalence are critical for assessment of population health and for planning and implementing prevention and health care programs. While self-reported data is often more economically feasible and readily available compared to clinically measured HBP, these reports may underestimate clinical prevalence to varying degrees. Understanding the accuracy of self-reported data and developing prediction models that correct for underreporting of hypertension in self-reported data can be critical tools in the development of more accurate population level estimates, and in planning population-based interventions to reduce the risk of, or more effectively treat, hypertension. This study examines the accuracy of self-reported survey data in describing prevalence of clinically measured hypertension in two racially and ethnically diverse urban samples, and evaluates a mechanism to correct self-reported data in order to more accurately reflect clinical hypertension prevalence. METHODS: We analyze data from the Detroit Healthy Environments Partnership (HEP) Survey conducted in 2002 and the National Health and Nutrition Examination (NHANES) 2001-2002 restricted to urban areas and participants 25 years and older. We re-calibrate measures of agreement within the HEP sample drawing upon parameter estimates derived from the NHANES urban sample, and assess the quality of the adjustment proposed within the HEP sample. RESULTS: Both self-reported and clinically assessed prevalence of hypertension were higher in the HEP sample (29.7 and 40.1, respectively) compared to the NHANES urban sample (25.7 and 33.8, respectively). In both urban samples, self-reported and clinically assessed prevalence is higher than that reported in the full NHANES sample in the same year (22.9 and 30.4, respectively). Sensitivity, specificity and accuracy between clinical and self-reported hypertension prevalence were 'moderate to good' within the HEP sample and 'good to excellent' within the NHANES sample. Agreement between clinical and self-reported hypertension prevalence was 'moderate to good' within the HEP sample (kappa =0.65; 95% CI = 0.63-0.67), and 'good to excellent' within the NHANES sample (kappa = 0.75; 95%CI = 0.73-0.80). Application of a 'correction' rule based on prediction models for clinical hypertension using the national sample (NHANES) allowed us to re-calibrate sensitivity and specificity estimates for the HEP sample. The adjusted estimates of hypertension in the HEP sample based on two different correction models, 38.1% and 40.5%, were much closer to the observed hypertension prevalence of 40.1%. CONCLUSIONS: Application of a simple prediction model derived from national NHANES data to self-reported data from the HEP (Detroit based) sample resulted in estimates that more closely approximated clinically measured hypertension prevalence in this urban community. Similar correction models may be useful in obtaining more accurate estimates of hypertension prevalence in other studies that rely on self-reported hypertension.

Discuss and remember: Clinician strategies for integrating social determinants of health in patient records and care.

There is growing interest in standardizing data about social determinants of health (SDOH) in electronic health records (EHRs), yet little is known about how clinicians document SDOH in daily practice. This study investigates clinicians' strategies for working with SDOH data and the challenges confronting SDOH standardization. Drawing on ethnographic observation, interviews with patients and clinicians, and systematic review of patient EHRs-all at an urban teaching hospital in the US Midwest-we analyze three strategies clinicians deploy to integrate SDOH data into patient care. First, clinicians document SDOH using "signal phrases," keywords and short sentences that help them recall patients' social stories. Second, clinicians use other technology or face-to-face conversations to share about patients' SDOH with colleagues. Third, clinicians fold discussion of SDOH with patients into their personal relationships. While these local strategies facilitate personalized care and help clinicians minimize their computer workload, we also consider their limitations for efforts to coordinate care across institutions and attempts to identify SDOH in EHRs. These findings reveal ongoing tensions in projects of standardization in medicine, as well as the specific difficulty of standardizing data about SDOH. They have important clinical implications as they help explain how clinicians may attend to patients' SDOH in ways that are not legible in patient records. This paper is also relevant for policy at a time when mandates to include SDOH data in health records are expanding and strategies to standardize SDOH documentation are being developed.

Screening for diabetes in an African American community: identifying characteristics associated with abnormal blood glucose readings.

OBJECTIVE: To identify characteristics associated with abnormal blood glucose readings among African Americans and to determine the potential value of a more targeted approach to community-based screenings for type 2 diabetes. METHODS: Data were collected from 7113 participants with no previous diagnosis of diabetes at mobile screening events in Detroit, Michigan. Data collected included gender, race, age, self-reported height and weight, total diabetes risk score, blood pressure, and random capillary blood glucose. RESULTS: Nearly 9% of participants had abnormal random plasma glucose readings (RPG>or=160 mg/dL). Results indicated that higher age, elevated blood pressure, and body mass index (BMI) were significantly associated with abnormal glucose readings. CONCLUSION: These findings suggest that community-based screenings for diabetes that are targeted to adults aged more than 50 years who have high blood pressure or a BMI of at least 25 may enhance detection of abnormal glucose levels among African Americans.

Does Perceived Safety Modify the Effectiveness of a Walking-Group Intervention Designed to Promote Physical Activity?

PURPOSE: To examine whether perceived safety modified the effectiveness of the Walk Your Heart to Health (WYHH) intervention in promoting physical activity and reducing central adiposity in predominantly non-Latino black (henceforth black) and Latino communities. DESIGN: Generalized estimation equations were used to assess modifying effects of perceived safety on the route and perceived neighborhood safety on (1) WYHH participation at 8 weeks and 32 weeks, (2) associations between participation and physical activity, and (3) associations between physical activity and central adiposity. SETTING: Community-based and faith-based organizations in black and Latino communities. PARTICIPANTS: There were 603 adults, aged 18 years and older, who were predominantly black, Latino, and female. MEASURES: Participation and physical activity (piezoelectric pedometer) were measured at each walking session. Perceived safety on the route (questionnaire), perceived neighborhood safety (questionnaire), and waist circumference were measured at baseline, 8 weeks, and 32 weeks. ANALYSIS: Secondary analysis of repeated measures using generalized estimation equations. RESULTS: Retention was 90% at 8 weeks and 64% at 32 weeks. Perceived safety on the route, but not perceived neighborhood safety, dampened participation at 8 weeks but not 32 weeks. Consistent participation in the intervention increased physical activity and reduced central adiposity irrespective of perceived safety on the walking route or perceived neighborhood safety. CONCLUSION: Efforts to improve safety in conjunction with interventions focused on increasing physical activity can work toward improving physical activity for blacks and Latinos, leading to a myriad of improved health outcomes including reduced central adiposity.

Longitudinal analysis of depressive symptoms and glycemic control in type 2 diabetes.

OBJECTIVE: To compare whether depressive symptoms are more strongly related to subsequent or prior glycemic control in type 2 diabetes and to test whether patient characteristics modify these longitudinal associations. RESEARCH DESIGN AND METHODS: On two occasions separated by 6 months, depressive symptoms and glycemic control were assessed in 253 adults with type 2 diabetes. Regression analyses examined depressive symptoms as both a predictor and outcome of glycemic control and tested whether medication regimen (e.g., insulin versus oral drugs) was an effect modifier before and after adjusting for baseline levels of the outcome being predicted. RESULTS: Depressive symptom severity predicted poor glycemic control 6 months later (P = 0.018) but not after baseline glycemic control was taken into account (P = 0.361). Although baseline glycemic control did not generally predict depressive symptoms 6 months later (P = 0.558), it significantly interacted with regimen (P = 0.008). Specifically, glycemic control predicted depressive symptoms among patients prescribed insulin (beta = 0.31, P = 0.002) but not among those prescribed oral medication alone (beta = -0.10, P = 0.210). Classifying depression dichotomously produced similar but weaker findings. CONCLUSIONS: Depressive symptoms do not necessarily lead to worsened glycemic control. In contrast, insulin-treated patients in poor glycemic control are at moderate risk for worsening of depressive symptoms. These patients should be carefully monitored to determine whether depression treatment should be initiated or intensified.

Racial differences in the discussion and treatment of depressive symptoms accompanying type 2 diabetes.

OBJECTIVE: To compare rates of discussion of and treatment for depression among African Americans and Whites with diabetes. METHODS: Measures of diabetes status, depressive symptoms, and history of discussing and being treated for depression were collected from 56 adults with elevated depressive symptoms accompanying diabetes who were drawn from a larger study of type 2 diabetes. RESULTS: Analyses adjusted for confounders and multiple tests indicated that relative to Whites, African Americans were 6-12 times less likely to have ever: discussed depression with anyone (p=.007), discussed depression with their primary care physician (p=.008), been prescribed an antidepressant (p=.002), and they were 25 times less likely to have seen a psychiatrist (p=.003). There were no significant differences in discussing depression with clergypersons, or family members/friends. CONCLUSIONS: Compared to their White counterparts, African Americans with depressive symptoms accompanying diabetes are unlikely to discuss depression with healthcare professionals, be prescribed antidepressant medication, or be seen by a psychiatrist. Minority diabetes patients' medical and psychiatric outcomes may improve if healthcare providers more actively initiate these discussions, provide culturally tailored education about the nature of depression and its management, incorporate patient preferences into treatment plans, and establish relationships with persons more likely to learn about African American patient symptoms.