Instrumental Variable Analysis of Racial Discrimination and Blood Pressure in a Sample of Young Adults.

Racial inequities in blood pressure levels have been extensively documented. Experiences of racial discrimination could explain some of this disparity, although findings from previous studies have been inconsistent. To address limitations of prior literature, including measurement error, we implemented instrumental variable analysis to assess the relationship between racial discrimination in institutional settings and blood pressure. Using data from 3,876 Black and White adults with an average age of 32 years from examination 4 (1992-1993) of the Coronary Artery Risk Development in Young Adults Study, our primary analysis examined the relationship between self-reported experiences of racial discrimination in institutional settings and blood pressure using reflectance meter measurement of skin color as an instrument. Findings suggested that an increase in experiences of racial discrimination was associated with higher systolic and diastolic blood pressure (ß = 2.23 mm Hg (95% confidence interval: 1.85, 2.61) and ß = 1.31 (95% confidence interval: 1.00, 1.62), respectively). Our instrumental variable estimates suggest that experiences of racial discrimination within institutional settings contribute to racial inequities in elevated blood pressure and cardiovascular disease outcomes in a relatively young cohort of adults and may yield clinically relevant differences in cardiovascular health over the life course.

Integrating Racism as a Sentinel Indicator in Public Health Surveillance and Monitoring Systems.

Objectives. To evaluate public health surveillance and monitoring systems' (PHSMS) efforts to collect, monitor, track, and analyze racism. Methods. We employed an environmental scan approach. We defined key questions and data to be collected, conducted a literature review, and synthesized the results by using a qualitative description approach. Results. We identified 125 PHSMS; only 3-the Behavioral Risk Factor Surveillance System, Pregnancy Risk Assessment and Monitoring System, and California Health Interview Survey-collected and reported data on individual-level racism. Structural racism was not collected in PHSMS; however, we observed evidence for linkages to census and administrative data sets or social media sources to assess structural racism. Conclusions. There is a paucity of PHSMS that measure individual-level racism, and few systems are linked to structural racism measures. Public Health Implications. Adopting a standard practice of racism surveillance can advance equity-centered public health praxis, inform policy, and foster greater accountability among public health practitioners, researchers, and decision-makers. Failure to explicitly address racism and the insufficient capacity to support a robust health equity data infrastructure severely impedes efforts to address and dismantle systemic racism. (Am J Public Health. 2023;113(S1):S80-S84. https://doi.org/10.2105/AJPH.2022.307160).

The Relationship Between Peripheral Arterial Disease Severity and Socioeconomic Status.

BACKGROUND: Although socioeconomic disparities in outcomes of peripheral artery disease (PAD) have been well studied, little is known about relationship between severity of PAD and socioeconomic status. The objective of this study was to examine this relationship. METHODS: Patients who had operations for severe PAD (rest pain or tissue loss) were identified in the National Inpatient Sample, 2005-2014. They were stratified by the median household income (MHI) quartiles of their residential ZIP codes. Other characteristics such as race/ethnicity and insurance type were extracted. Factors associated with more severe disease (tissue loss) were evaluated using multivariable regression analyses. RESULTS: There were 765,175 patients identified; 34% in the first MHI quartile and 18% in the fourth MHI quartile. Compared to patients in the first quartile, those in the fourth quartile were more likely White (69% vs. 42%, P < 0.001), more likely ≥65 years old (75% vs. 62%, P < 0.001), and were less likely to undergo amputations (25% vs. 34%, P < 0.001). After adjusting for patient characteristics, the fourth quartile was associated with more severe disease [Odds ratio: 1.19, 95% confidence interval (CI): 1.11-1.27] compared to the first quartile. CONCLUSIONS: While higher MHI was associated with higher PAD severity, patients with high MHI were less likely to undergo amputations indicating a disparity in the choice of treatment for PAD. Increased efforts are necessary to reduce socioeconomic disparities in the treatment of severe PAD.

The influence of socioeconomic status on outcomes of lower extremity arterial reconstruction.

OBJECTIVE: Although it has been shown that patient socioeconomic status (SES) is associated with the surgical treatments chosen for severe peripheral arterial disease (PAD), the association between SES and outcomes of arterial reconstruction have not been well-studied. The objective of this study was to determine if SES is associated with outcomes following lower extremity arterial reconstruction. METHODS: Patients 40 years and older who had surgical revascularization for severe lower extremity PAD were identified in the Nationwide Readmissions Database, 2010 to 2014. Measures of SES including median household income (MHI) quartiles of patients' residential ZIP codes were extracted. Factors associated with repeat revascularization, subsequent major amputations, hospital mortality, and 30-day all-cause readmission were evaluated using multivariable regression analyses. RESULTS: Of the 131,529 patients identified, the majority (61%) were male, and the average age was 69 years. On unadjusted analyses, subsequent amputations were higher among patients in the lowest MHI quartile compared with patients in the highest MHI quartile (13% vs 10%; overall P < .001). On multivariable analyses, compared with patients in the lowest quartile, those in the highest quartile had lower amputation (adjusted odds ratio [aOR], 0.70; 95% confidence interval (CI), 0.63-0.77; overall P < .001) and readmission (aOR, 0.91; 95% CI, 0.84-0.99; overall P = .028) rates. However, subsequent revascularization (aOR, 1.04; 95% CI, 0.94-1.15) and mortality (aOR, 1.01; 95% CI, 0.79-1.28) rates were not different across the groups. CONCLUSIONS: Lower SES is associated with disproportionally worse outcomes following lower extremity arterial reconstruction for severe PAD. These data suggest that improving outcomes of lower extremity arterial reconstruction may involve addressing socioeconomic disparities.

Prediction of Future Health Care Utilization Through Note-extracted Psychosocial Factors.

BACKGROUND: Persons with multimorbidity (≥2 chronic conditions) face an increased risk of poor health outcomes, especially as they age. Psychosocial factors such as social isolation, chronic stress, housing insecurity, and financial insecurity have been shown to exacerbate these outcomes, but are not routinely assessed during the clinical encounter. Our objective was to extract these concepts from chart notes using natural language processing and predict their impact on health care utilization for patients with multimorbidity. METHODS: A cohort study to predict the 1-year likelihood of hospitalizations and emergency department visits for patients 65+ with multimorbidity with and without psychosocial factors. Psychosocial factors were extracted from narrative notes; all other covariates were extracted from electronic health record data from a large academic medical center using validated algorithms and concept sets. Logistic regression was performed to predict the likelihood of hospitalization and emergency department visit in the next year. RESULTS: In all, 76,479 patients were eligible; the majority were White (89%), 54% were female, with mean age 73. Those with psychosocial factors were older, had higher baseline utilization, and more chronic illnesses. The 4 psychosocial factors all independently predicted future utilization (odds ratio=1.27-2.77, C -statistic=0.63). Accounting for demographics, specific conditions, and previous utilization, 3 of 4 of the extracted factors remained predictive (odds ratio=1.13-1.86) for future utilization. Compared with models with no psychosocial factors, they had improved discrimination. Individual predictions were mixed, with social isolation predicting depression and morbidity; stress predicting atherosclerotic cardiovascular disease onset; and housing insecurity predicting substance use disorder morbidity. DISCUSSION: Psychosocial factors are known to have adverse health impacts, but are rarely measured; using natural language processing, we extracted factors that identified a higher risk segment of older adults with multimorbidity. Combining these extraction techniques with other measures of social determinants may help catalyze population health efforts to address psychosocial factors to mitigate their health impacts.

Relationships between enabling services use and access to care among adults with cardiometabolic risk factors: findings from the 2014 National Health Center Patient Survey.

BACKGROUND: Community health centers (CHCs) provide comprehensive primary and preventive care to medically underserved, low-income, and racially/ethnically diverse populations. CHCs also offer enabling services, non-clinical assistance to reduce barriers to healthcare due to unmet social and material needs, to improve access to healthcare and reduce health disparities. For patients with modifiable cardiometabolic risk factors, including obesity, hypertension, and diabetes, enabling services may provide additional support to improve disease management. However, little is known about the relationship between enabling services and healthcare accessibility and utilization among patients with cardiometabolic risk factors. METHODS: This study uses data from the 2014 Health Center Patient Survey to examine the relationship between enabling services use and delayed/foregone care, routine check-ups, and emergency room visits, among adult community health center patients in the United States with cardiometabolic risk factors (N = 2358). Outcomes of enabling services users were compared to nonusers using doubly robust propensity score matching methods and generalized linear regression models. RESULTS: Overall, enabling service users were 15.4 percentage points less likely to report delayed/foregone care and 29.4 percentage points more likely to report routine check-ups than nonusers. Enabling service users who lived in urban areas, younger and middle-aged adults, and those with two cardiometabolic risk factors were also less likely to report delayed/foregone care and/or more likely to report routine check-ups in comparison with nonusers. However, among adults with three or more cardiometabolic risk factors, enabling services use was associated with a 41.3 percentage point increase in emergency room visits and a 7.6 percentage point decrease in routine check-ups. CONCLUSIONS: The findings highlight the value in utilizing enabling services to improve timeliness and receipt of care among CHC patients with heightened cardiometabolic risk. There is a need for targeting high-risk populations with additional enabling services to support management of multiple chronic conditions.

Who declines to respond to the reactions to race module?: findings from the South Carolina Behavioral Risk Factor Surveillance System, 2016-2017.

BACKGROUND: The inclusion of self-reported differential treatment by race/ethnicity in population-based public health surveillance and monitoring systems may provide an opportunity to address long-standing health inequalities. While there is a growing trend towards decreasing response rates and selective non-response in health surveys, research examining the magnitude of non-response related to self-reported discrimination warrants greater attention. This study examined the distribution of sociodemographic variables among respondents and non-respondents to the South Carolina Behavioral Risk Factor Surveillance System (SC-BRFSS) Reactions to Race module (6-question optional module capturing reports of race-based treatment). METHODS: Using data from SC-BRFSS (2016, 2017), we examined patterns of non-response to the Reactions to Race module and individual items in the module. Logistic regression models were employed to examine sociodemographic factors associated with non-response and weighted to account for complex sampling design. RESULTS: Among 21,847 respondents, 15.3% were non-responders. Significant differences in RTRM non-response were observed by key sociodemographic variables (e.g., age, race/ethnicity, labor market participation, and health insurance status). Individuals who were younger, Hispanic, homemakers/students, unreported income, and uninsured were over-represented among non-respondents. In adjusted analyses, Hispanics and individuals with unreported income were more likely to be non-responders in RTRM and across item, while retirees were less likely to be non-responders. Heterogeneity in levels of non-responses were observed across RTRM questions, with the highest level of non-response for questions assessing differential treatment in work (54.8%) and healthcare settings (26.9%). CONCLUSIONS: Non-responders differed from responders according to some key sociodemographic variables, which could contribute to the underestimation of self-reported discrimination and race-related differential treatment and health outcomes. While we advocate for the use of population-based measures of self-reported racial discrimination to monitor and track state-level progress towards health equity, future efforts to estimate, assess, and address non-response variations by sociodemographic factors are warranted to improve understanding of lived experiences impacted by race-based differential treatment.

Socially-assigned race and health: a scoping review with global implications for population health equity.

Self-identified race/ethnicity is largely used to identify, monitor, and examine racial/ethnic inequalities. A growing body of work underscores the need to consider multiple dimensions of race - the social construction of race as a function of appearance, societal interactions, institutional dynamics, stereotypes, and social norms. One such multidimensional measure is socially-assigned race, the perception of one's race by others, that may serve as the basis for differential or unfair treatment and subsequently lead to deleterious health outcomes. We conducted a scoping review to systematically appraise the socially-assigned race and health literature. A systematic search of the PubMed, Web of Science, 28 EBSCO databases and 24 Proquest databases up to September 2019 was conducted and supplemented by a manual search of reference lists and grey literature. Quantitative and qualitative studies that examined socially-assigned race and health or health-related outcomes were considered for inclusion. Eighteen articles were included in the narrative synthesis. Self-rated health and mental health were among the most frequent outcomes studied. The majority of studies were conducted in the United States, with fewer studies conducted in New Zealand, Canada, and Latin America. While most studies demonstrate a positive association between social assignment as a disadvantaged racial or ethnic group and poorer health, some studies did not document an association. We describe key conceptual and methodological considerations that should be prioritized in future studies examining socially-assigned race and health. Socially-assigned race can provide additional insight into observed differential health outcomes among racial/ethnic groups in racialized societies based upon their lived experiences. Studies incorporating socially-assigned race warrants further investigation and may be leveraged to examine nuanced patterns of racial health advantage and disadvantage.

Disparities in childhood overweight and obesity by income in the United States: an epidemiological examination using three nationally representative datasets.

BACKGROUND/OBJECTIVES: Overweight and obesity (OWOB) is a global epidemic. Adults and adolescents from low-income households are at higher risk to be OWOB. This study examined the relationship between income and OWOB prevalence in children and adolescents (518 years) in the United States (US) within and across race/ethnicities, and changes in this relationship from 1971 to 2014. SUBJECTS/METHODS: A meta-analysis of a nationally representative sample (N = 73,891) of US children and adolescents drawn from three datasets (i.e., National Health and Nutrition Examination Survey, National Longitudinal Survey of Youth, & the Early Childhood Longitudinal Program) which included 14 cross-sectional waves spanning 1971-2014 was conducted. The exposure was household income-to-poverty ratio (low income = 0.00-1.00, middle income = 1.01-4.00, high income >4.00) with prevalence of overweight or obesity (body mass index ≥ 85th percentile) as the outcome. RESULTS: Children and adolescents from middle-income and high-income households were 0.78 (95% CI = 0.72, 0.83) and 0.68 (95% CI = 0.59, 0.77) times as likely to be OWOB compared to children and adolescents in low-income households. Separate analyses restricted to each racial/ethnic group showed children and adolescents from middle- and high-income households were less likely to be OWOB compared to their low-income peers within the White, Hispanic, and Other race/ethnic groups. Children and adolescents from low-income households who were Black were not more likely to be OWOB than their high- and middle-income counterparts. Analyses within each income stratum indicated that race/ethnicity was not related to the prevalence of OWOB in low-income households. However, racial/ethnic differences in OWOB were evident for children and adolescents in middle- and high-income households. Disparities in the prevalence of OWOB between low-income children and adolescents and their middle- and high-income counterparts have increased from 1971 to 2014. CONCLUSIONS: Income and OWOB are related in US children and adolescents. Racial/ethnic differences in the prevalence of OWOB emerge in middle- and high-income households. Disparities in OWOB prevalence are growing.

Emotional and physical reactions to perceived discrimination, language preference, and health-related quality of life among Latinos and Whites.

PURPOSE: To investigate whether emotional and physical reactions to perceived discrimination are associated with health-related quality of life (HRQOL) among whites and Latinos (by language preference) in Arizona. METHODS: A cross-sectional analysis using the Arizona Behavioral Risk Factor Surveillance System (2012-2014) was restricted to non-Hispanic white and Latino (grouped by English- or Spanish-language preference) participants who completed the Reactions to Race optional module (N = 14,623). Four core items from the Centers for Disease Control and Prevention's Healthy Days Measures were included: self-rated health; physically unhealthy, mentally unhealthy; and functionally limited days. Poisson regression models estimated prevalence ratios and 95% confidence intervals (CIs) for poor self-rated health. Multinomial logistic models estimated odds ratios and 95% CI for poor mental, physical, and functionally limited days (defined as 14 + more days). Models were adjusted for sociodemographics, health behaviors, and multimorbidity. RESULTS: Reports of emotional and physical reactions to perceived discrimination were highest among Spanish-language preference Latinos. Both Spanish- and English-language preference Latinos were more likely to report poor self-rated health in comparison to whites. In separate fully adjusted models, physical reactions were positively associated with each HRQOL measure. Emotional reactions were only associated with reporting 14 + mental unhealthy (aOR 3.16; 95% CI 1.82; 5.48) and functionally limited days (aOR 1.93; 95% CI 1.04, 3.58). CONCLUSIONS: Findings from this study suggest that physical and emotional reactions to perceived discrimination can manifest as diminished HRQOL. Consistent collection of population-based measures of perceived discrimination is warranted to track and monitor differential health vulnerability that affect Latinos.

Small-area Variation in Hypertension Prevalence among Black and White Medicaid Enrollees.

OBJECTIVES: To examine within-state geographic heterogeneity in hypertension prevalence and evaluate associations between hypertension prevalence and small-area contextual characteristics for Black and White South Carolina Medicaid enrollees in urban vs rural areas. DESIGN: Ecological. SETTING: South Carolina, United States. MAIN OUTCOME MEASURES: Hypertension prevalence. METHODS: Data representing adult South Carolina Medicaid recipients enrolled in fiscal year 2013 (N=409,907) and ZIP Code Tabulation Area (ZCTA)-level contextual measures (racial segregation, rurality, poverty, educational attainment, unemployment and primary care physician adequacy) were linked in a spatially referenced database. Optimized Getis-Ord hotspot mapping was used to visualize geographic clustering of hypertension prevalence. Spatial regression was performed to examine the association between hypertension prevalence and small-area contextual indicators. RESULTS: Significant (alpha=.05) hotspot spatial clustering patterns were similar for Blacks and Whites. Black isolation was significantly associated with hypertension among Blacks and Whites in both urban (Black, b=1.34, P<.01; White, b=.66, P<.01) and rural settings (Black, b=.71, P=.02; White, b=.70, P<.01). Primary care physician adequacy was associated with hypertension among urban Blacks (b=-2.14, P<.01) and Whites (b=-1.74, P<.01). CONCLUSIONS: The significant geographic overlap of hypertension prevalence hotspots for Black and White Medicaid enrollees provides an opportunity for targeted health intervention. Provider adequacy findings suggest the value of ACA network adequacy standards for Medicaid managed care plans in ensuring health care accessibility for persons with hypertension and related chronic conditions.

Estimating the cognitive effects of prevalent diabetes, recent onset diabetes, and the duration of diabetes among older adults.

BACKGROUND: Little evidence is available on the effects of incident diabetes or diabetes duration on cognitive aging. METHODS: We evaluated the effects of prevalent and incident diabetes on deteriorations in cognitive function, based on participants (n = 8,671) aged 65+ in the Health and Retirement Study in 2000. Inverse probability weighting was used to account for selective attrition and time-varying confounding of incident diabetes. RESULTS: Prevalent diabetes predicted higher odds of dementia [odds ratio 1.27; 95% confidence interval (CI) 1.03-1.58] and worse memory (-0.06 in z-score units; 95% CI -0.10 to -0.02), but incident diabetes or diabetes duration up to 8 years of follow-up was not predictive. CONCLUSION: Prevalent diabetes predicted lower cognition but not recent onset diabetes.

Weight Loss Pharmacotherapy: Brief Summary of the Clinical Literature and Comments on Racial Differences.

The disparity in obesity rates between White, Black, and Hispanic individuals, especially women, is striking. Moreover, at any given body mass index or abdominal girth, incident diabetes is greater in Black, Hispanic and other racial-ethnic minorities than Whites. In addition to the growing health burden, the total costs of obesity in 2030 could exceed $500 billion (USD). Weight loss of 5%-15% from baseline can be attained with anti-obesity pharmacotherapy approved for long-term use in combination with lifestyle change. Weight loss of ≥ 5% is associated with medical benefits including reduction of incident diabetes and cardiovascular risk. While medical weight loss after one year or more in the US population is better than previously seen in many clinical trials, >60% of adults fail to sustain a 5% weight loss. Drug therapies approved for long-term weight loss may permit even more subjects to sustain healthful weight reduction.

Longitudinal association between BMI at diagnosis and HIV disease progression.

Increased body mass index (BMI) has been associated with adverse health outcomes but the effect of BMI on HIV immune markers over time post-HAART is not clearly established. Data were abstracted from 396 medical records at the Ryan White Clinic in South Carolina. All HIV-infected adults who were ≥18 years of age, diagnosed between 1997 and 2010, had weight and height measured within 3 months of diagnosis and had at least one follow-up visit within 6 months of diagnosis, were eligible. The mean CD4 count was calculated for each BMI category and mixed regression analyses was used to determine the association between BMI and CD4 count over time. The overall mean BMI was 27.4 kg/m(2). Longitudinally, the mean CD4 count was 611.2 cells/mm(3) for obese individuals, 598.1 cells/mm(3) for overweight individuals and 550.5 cells/mm(3) for normal weight individuals. When compared to the normal weight category, the obese category had significantly larger increases in CD4 count (5.5 cells/mm(3), P < 0.001) versus the overweight category (-2.1 cells/mm(3), P < 0.001). HIV-infected individuals who were obese at diagnosis had larger increases in CD4 counts over time when compared to overweight individuals at diagnosis. This suggests that providers should pay closer attention to weight at diagnosis to predict the response to treatment and disease trajectory.

The association of individual and neighborhood social cohesion, stressors, and crime on smoking status among African-American women in southeastern US subsidized housing neighborhoods.

The purpose of this study was to examine the associations between individual and neighborhood social contextual factors and smoking prevalence among African-American women in subsidized neighborhoods. We randomly sampled 663 adult women in 17 subsidized neighborhoods in two Southeastern US states. The smoking prevalence among participants was 37.6%, with an estimated neighborhood household prevalence ranging from 30 to 68%. Smokers were more likely to be older, have lower incomes, have lower BMI, and live with other smokers. Women with high social cohesion were less likely to smoke, although living in neighborhoods with higher social cohesion was not associated with smoking prevalence. Women with higher social cohesion were more likely to be older and had lived in the neighborhood longer. Women with high stress (related to violence and disorder) and who lived in neighborhoods with higher stress were more likely to smoke. Younger women were more likely to have higher stress than older women. There were no statistically significant associations with objective neighborhood crime data in any model. This is the first study to examine both individual and neighborhood social contextual correlates among African-American women in subsidized neighborhoods. This study extends findings about smoking behaviors and neighborhood social contexts in this high-risk, urban population. Future research is needed to explore age and residential stability differences and perceptions of social cohesion, neighborhood disorder, and perceived violence in subsidized housing. Further research is also warranted on African-American women, subsidized housing, smoking, social context, health disparities' effective strategies to address these individual and contextual factors to better inform future ecological-based multilevel prevention, and cessation intervention strategies.

Diabetes risk, diagnosis, and control: do psychosocial factors predict hemoglobin A1c defined outcomes or accuracy of self-reports?

OBJECTIVE: To evaluate the accuracy of self-reported diabetes among multi-ethnic older adults by psychosocial factors and assess predictors of diabetes risk, diagnosis, and control. DESIGN AND METHODS: The 2006 Health and Retirement Study (N=5,594) was used to determine agreement between self-reported diabetes and measured diabetes (HbA1c> or = 6.5%) by age, sex, race/ethnicity, nativity, education, health insurance coverage, body mass index, depressive symptoms, and prior report of racial discrimination. We also examined associations between these factors and pre-diabetes (HbA1c > or = 6.0-<6.5%) among individuals without diabetes, and those with undiagnosed and poorly controlled (HbA1c > or = 8.0%) diabetes. RESULTS: Accuracy of self-reported diabetes was good (ie, sensitivity > or = 80% and specificity > or = 95%) among all demographic subgroups and across most social strata. Among those who reported racial discrimination, sensitivity of self-reported diabetes was lower among Blacks who reported racial discrimination in comparison to Blacks who did not report racial discrimination (82.7% vs 89.0%) an association that was marginally statistically significant (P=.05). Blacks and Hispanics had higher odds of pre-diabetes, undiagnosed diabetes, and poor glycemic control. CONCLUSIONS: Self-reported diabetes corresponded well with HbAlc assessed disease for all social strata examined in this sample of multi-ethnic older adults. Blacks with a history of racial discrimination may be less likely to know diabetes status.

The Relationship Between Multiple Forms of Discrimination, Neighborhood Characteristics, and Depression Among Illicit Drug Users in New York City.

It is plausible that features of the social environment combined with experiences of discrimination may help further explain experiences of depression among illicit drug users. We examined the influence of census tract-level characteristics and multiple forms of individual-level discrimination on lifetime depression among illicit drug users in New York City enrolled in the "Social Ties Associated With Risk of Transition" study. Population average models accounted for clustering of individuals within census tracts. Discrimination based on prior incarceration explained Hispanic/White differences in depression and was independently associated with depression after accounting for neighborhood characteristics. Neighborhood poverty was only marginally related to lifetime depression. These data provide evidence supporting the influence of discrimination on depression among drug users. Research is needed to confirm these findings and highlight specific mechanisms through which discrimination and neighborhood socioeconomic status may operate to influence mental health.

Combining direct and proxy assessments to reduce attrition bias in a longitudinal study.

Retaining severely impaired individuals poses a major challenge in longitudinal studies of determinants of dementia or memory decline. In the Health and Retirement Study (HRS), participants complete direct memory assessments biennially until they are too impaired to complete the interview. Thereafter, proxy informants, typically spouses, assess the subject's memory and cognitive function using standardized instruments. Because there is no common scale for direct memory assessments and proxy assessments, proxy reports are often excluded from longitudinal analyses. The Aging, Demographics, and Memory Study (ADAMS) implemented full neuropsychological examinations on a subsample (n=856) of HRS participants, including respondents with direct or proxy cognitive assessments in the prior HRS core interview. Using data from the ADAMS, we developed an approach to estimating a dementia probability and a composite memory score on the basis of either proxy or direct assessments in HRS core interviews. The prediction model achieved a c-statistic of 94.3% for DSM diagnosed dementia in the ADAMS sample. We applied these scoring rules to HRS core sample respondents born 1923 or earlier (n=5483) for biennial assessments from 1995 to 2008. Compared with estimates excluding proxy respondents in the full cohort, incorporating information from proxy respondents increased estimated prevalence of dementia by 12 percentage points in 2008 (average age=89) and suggested accelerated rates of memory decline over time.

Social and individual risk determinants of HIV testing practices among noninjection drug users at high risk for HIV/AIDS.

HIV testing services and research among drug users has largely focused on injection drug users (IDUs); yet noninjection drug users (NIDUs) are also at increased risk for HIV due to high-risk sexual behaviors and overlapping networks with IDUs. This study examined drug use, sexual risk, and social network characteristics associated with recent HIV testing (testing within past year) among NIDUs. Interviewer-administered questionnaires were conducted among 418 NIDUs and log-binomial regression models were used to identify correlates of recent HIV testing. Prevalence ratios (PR) with 95% confidence intervals (CI) were reported. Nearly 97% of NIDUs reported having ever been tested for HIV and most participants (85.7%) indicated testing for HIV within the past year. Factors independently associated with recent HIV testing were higher educational attainment (PR: 1.86; 95% CI: 1.03, 3.34) and networks to discuss health and medical services (PR: 1.84; 95% CI: 1.06, 1.20). A prior positive sexually transmitted infection was associated with decreased likelihood of recent HIV test (PR: 0.43; 95% CI 0.25, 0.74). Identifying specific social network characteristics may be effective in facilitating HIV testing and prevention strategies targeting NIDUs.

Retail redlining in New York City: racialized access to day-to-day retail resources.

Racial residential segregation is associated with health inequalities in the USA, and one of the primary mechanisms is through influencing features of the neighborhood physical environment. To better understand how Black residential segregation might contribute to health risk, we examined retail redlining; the inequitable distribution of retail resources across racially distinct areas. A combination of visual and analytic methods was used to investigate whether predominantly Black census block groups in New York City had poor access to retail stores important for health. After controlling for retail demand, median household income, population density, and subway ridership, percent Black was associated with longer travel distances to various retail industries. Our findings suggest that Black neighborhoods in New York City face retail redlining. Future research is needed to determine how retail redlining may perpetuate health disparities and socioeconomic disadvantage.