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.

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.

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).

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.

A systematic review and meta-analysis of the Everyday Discrimination Scale and biomarker outcomes.

Discrimination has consistently been associated with multiple adverse health outcomes. Like other psychosocial stressors, discrimination is thought to impact health through stress-related physiologic pathways including hypothalamic-pituitary-adrenal (HPA) axis activation, dysregulation of inflammation responses, and accelerated cellular aging. Given growing attention to research examining the biological pathways through which discrimination becomes embodied, this systematic review and meta-analysis synthesizes empirical evidence examining relationships between self-reported discrimination and four biomarker outcomes (i.e., cortisol, C-reactive protein (CRP), interleukin-6 (IL-6), and telomere length) among studies that have used the Everyday Discrimination Scale. We conducted a systematic review of studies discussing self-reported, everyday, or chronic discrimination in the context of health by searching Medline / PubMed (National Library of Medicine, NCBI), PsycInfo (APA, Ebsco) and Web of Science Core Collection (Clarivate). Twenty-five articles met the criteria for meta-analysis, with several reporting on multiple outcomes. Discrimination was associated with elevated CRP levels (r = 0.11; 95% CI: 0.01, 0.20, k = 10), though not cortisol (r = 0.05; 95% CI: -0.06, 0.16, k = 9), IL-6 (r = 0.05; 95% CI: -0.32, 0.42, k = 5), or telomere length (r = 0.03; 95% CI: -0.01, 0.07, k = 6). We identify several points of consideration for future research including addressing heterogeneity in assessment of biomarker outcomes and the need for longitudinal assessments of relationships between discrimination and biomarker outcomes.

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.

Associations between multiple indicators of discrimination and allostatic load among middle-aged adults.

The objective of this paper is to examine associations between multiple measures of discrimination (i.e., everyday, lifetime, and appraised burden) and components of allostatic load (AL). We drew on pooled cross-sectional data from the Biomarker Project of the Midlife in the United States study (n = 2118). Ages ranged from 25 to 84 years and included mostly Black (n = 389) and white (n = 1598) adults. Quasi-Poisson models were fit to estimate prevalence ratios for each discrimination measure and high-risk quartiles across seven physiological systems (i.e., sympathetic and parasympathetic nervous system; HPA axis; inflammation; cardiovascular; metabolic glucose; and metabolic lipids) and overall AL scores. In fully adjusted models, everyday discrimination was associated with elevated lipids (aPR: 1.07; 95% CI 1.01, 1.13). Lifetime experiences of discrimination were associated with lower sympathetic nervous system (aPR: 0.82; 95% CI: 0.69, 0.98) and greater cardiovascular risk scores (aPR: 1.17; 95% CI: 1.02, 1.34) among those reporting three or more experiences, as well as increased inflammation (aPR: 1.13; 95% CI: 1.02, 1.25; aPR: 1.28; 95% CI: 1.14, 1.43), metabolic glucose (aPR: 1.35; 95% CI: 1.19, 1.54; aPR: 1.45; 95% CI: 1.24, 1.68), and metabolic lipids (aPR: 1.13; 95% CI: 1.03, 1.24; aPR: 1.28; 95% CI: 1.15, 1.43) scores for those reporting one to two and three or more experiences. Appraised burden yielded nuanced associations with metabolic glucose and parasympathetic nervous system scores. Everyday and lifetime measures were also associated with higher overall AL, though burden of discrimination was only associated with AL among those reporting "a little" burden. While AL summary scores provide insight into the cumulative impacts of discrimination on health, there appear to be distinct physiologic pathways through which varying forms of discrimination contribute to AL and, ultimately, to poorer health. These unique pathways may be useful in identifying potential points of intervention to mitigate the impacts of discrimination on health inequities.

Food Acquisition and Shopping Patterns in the United States: Characteristics and Relation to Body Mass Index in the US Food Acquisition and Purchase Survey.

BACKGROUND: Previous studies examined the association between shopping distance, frequency, and store type separately. OBJECTIVES: The objective is to explore food acquisition and shopping habits using multidimensional measures and examine its association with body mass index (BMI). DESIGN: A cross-sectional study was conducted. PARTICIPANTS/SETTING: Four thousand four hundred sixty-six households from the US Food Acquisition and Purchase Survey during April 2012 to January 2013 were included in this analysis. MAIN OUTCOMES MEASURES: Both continuous BMI and categorical BMI were used. STATISTICAL ANALYSES: Latent class analysis was used to identify the latent profiles using travel distance and perceived travel time between residential location and primary store, store type, transportation mode, and farmers' market utilization. Multivariable linear regression and multinomial logistic regression were used to assess the association between the identified patterns and continuous and categorical BMI. All analyses were stratified by urbanicity. RESULTS: Overall, 65% (weighted percentage) of households were located in an urban tract. Thirty-seven percent were categorized as Class 1 (households that shopped more proximally, used their own vehicle, and shopped at a farmers' market), 50% as Class 2 (households that shopped more distally, used their own vehicle, and shopped at a farmers' market), and 14% as Class 3 (households that shopped proximally but perceived longer travel time, used someone else's vehicle, and did not shop at a farmers' market). Among rural households, 54% were Class 1 and 46% were Class 2 (Class 3 was not identified). Socioeconomic status characteristics, proximity, and store food price concerns were associated with the identified patterns. However, no significant association was found between the identified patterns and BMI. CONCLUSIONS: Food acquisition and shopping patterns were not associated with BMI in this national sample. However, future studies should also investigate the role of economic factors, such as food prices, in relation to shopping patterns and BMI.

Racial/Ethnic Variations in Social Determinants of Mental Health Among Medicare Advantage Beneficiaries.

OBJECTIVES: We examine associations between social determinants and mental health and assess how the associations vary by race/ethnicity using a large, diverse sample of older adults. METHOD: A retrospective study of 444,057 older adults responding to the Medicare Health Outcomes Survey in 2015-2017 was conducted. Using a multilevel linear regression, we examined the associations between the self-reported number of unhealthy days due to mental health and social determinants, stratified by race/ethnicity. RESULTS: Health factors were most strongly associated with unhealthy days across all racial/ethnic groups. Strength of other factors varied by race/ethnicity. Social/economic factors had stronger associations among Whites, Asians, and multiracial individuals, while such factors were not significant for American Indians/Alaska Natives and Native Hawaiians/Other Pacific Islanders. DISCUSSION: We found varying degrees of associations between social determinants and poor mental health by racial/ethnic groups. These results suggest that homogeneous interventions may not meet the mental health needs of all.

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.

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.

Perceived Discrimination Trajectories and Depressive Symptoms Among Middle-Aged and Older Black Adults.

BACKGROUND AND OBJECTIVES: Perceived discrimination is a risk factor for poor mental health. However, most studies measure discrimination at one time point, which does not account for heterogeneity in the cumulative patterning of exposure to discrimination. To address this gap, we examine the association between discrimination trajectories and depressive symptoms among black middle-aged and older adults. RESEARCH DESIGN AND METHODS: Data were analyzed from a subsample of black Health and Retirement Study respondents (2006-2018, N = 2926, older than 50 years). General discrimination and racial discrimination trajectories were constructed based on the Everyday Discrimination Scale using repeated measures latent profile analyses. We examined the extent to which the association between discrimination trajectories are differentially associated with depressive symptoms (8-item Center for Epidemiological Studies-Depression scale) using negative binomial regression models adjusted for potential confounders. Effect modification by age and gender was tested. RESULTS: Individuals in the persistently high (incident rate ratio [IRR]: 1.70; 95% confidence interval [CI]: 1.49-1.95) and moderate general discrimination trajectories (IRR: 1.19; 95% CI: 1.06-1.33) were more likely to have elevated depressive symptoms in comparison to those in the persistently low trajectory. This relationship was strongest among older adults aged older than 65 years. Respondents in the persistently high racial discrimination trajectory (IRR: 1.50; 95% CI: 1.29-1.73) had a higher risk of elevated depressive symptoms in comparison to respondents in the persistently low trajectory. Sensitivity analyses indicated that there was an independent association between persistently high racial discrimination trajectory class and elevated depressive symptoms, after adjusting for racial discrimination measured at a single time point. DISCUSSION AND IMPLICATIONS: Characterizing longitudinal patterns of perceived discrimination may facilitate the stratification of mental health risk and vulnerability among black middle-aged and older adults. Trajectories of racial discrimination may inform risk of worse depressive symptoms more accurately than a single assessment of discrimination.

Racial/Ethnic Disparities in Health Care Access Are Associated with Adverse Childhood Experiences.

There is a growing body of research documenting racial/ethnic differences in the relationship between adverse childhood experiences (ACEs) and negative health outcomes in adulthood. However, few studies have examined racial/ethnic differences in the association between ACEs and health care access. Cross-sectional data collected from South Carolina's Behavioral Risk Factor Surveillance System (2014-2016; n = 15,436) was used to examine associations among ACEs, race/ethnicity, and health care access among South Carolina adults. Specifically, logistic regression models were used to estimate the odds ratio (OR) and 95% confidence intervals (CI) for three health care access outcomes: having a personal doctor, routine checkup in the last 2 years, and delay in seeking medical care due to cost. Without adjusting for any covariates, in the overall population, the odds of having no personal doctor, no checkup in the last 2 years, and delay in medical care due to cost was significantly higher among those with at least one ACE, compared with those with no ACEs; and health care access varied by race, with significant relationships detected among Whites and Blacks. Among White adults, the odds of having no checkup in the last 2 years and delay in medical care due to cost was significantly higher among those with at least one ACE, compared with those with no ACEs. Among Black adults, a delay in medical care due to cost was significantly higher among those who reported ACEs compared with their counterparts. The results from this study suggest that ACEs may be an underrecognized barrier to health care for adults. Investing in strategies to mitigate ACEs may help improve health care access among adults.

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.

Cardiovascular Risk Factors and Secondary Events Among Acute and Chronic Stable Myocardial Infarction Patients: Findings from a Managed Care Database.

INTRODUCTION: Long-term risk for recurrent cardiovascular events among myocardial infarction (MI) patients in the acute versus chronic stable phase is not well characterized. This study was conducted to evaluate risk factors associated with all-cause mortality and cardiovascular (CVD) morbidity and to determine the transition period from the acute to chronic stable phase of disease. METHODS: Administrative claims data from a managed care database (2007-2012) were linked to the Social Security Death Index. Kaplan-Meier curves were generated over a 3-year period. The association between risk factors and clinical endpoints was assessed using Cox proportional hazard models. Poisson models estimated the 'transition time' from acute to chronic phase of disease. RESULTS: On average, recurrent cardiovascular event rates were higher among acute MI patients in comparison to the chronic MI patients during the first 3 months of follow-up. Over the 3-year follow-up period, survival curves became parallel and for some outcomes (i.e., acute myocardial infarction and bleeding events), were not statistically significantly different between the two groups. In both the acute and chronic MI cohorts, diabetes, heart failure, and renal disease were consistently statistically significant and positively associated with greater risk of death and ischemic events. PAD was consistently associated with increased risk among the chronic cohort and composite endpoints among the acute patients. CONCLUSIONS: Greater understanding of differences in the CVD risk profiles and the transition from acute to chronic stable phase may help identify high-risk patients and inform clinical risk stratification and long-term disease management in MI patients. FUNDING: Merck & Co., Inc., Kenilworth, NJ, USA.

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.

Socially Assigned Race and Diabetes: Findings from the Arizona Behavioral Risk Factor Surveillance System, 2013-2014.

Socially assigned race, the racial/ethnic categorization of individuals by others, may serve as the basis for differential or unfair treatment. Latinxs are commonly socially assigned to a race/ethnicity with which they do not self-identify. However, it is unclear the degree to which self-identified Latinxs who are socially assigned as white or Latinx may differentially predict health outcomes beyond general health status and healthcare utilization. We examine the association between socially assigned race and type 2 diabetes mellitus (T2DM). Data from the Arizona's Behavioral Risk Factor Surveillance System (2013, 2014) was used in a cross-sectional analysis (restricted to Latinxs and non-Hispanic whites; N = 8370) to examine the association between self-identified (SI) and socially assigned (SA) race/ethnicity agreement and T2DM. Latinxs were categorized according to SI-SA race/ethnicity agreement: discordant (SI-SA, different) and concordant (SI-SA, same). T2DM was based on self-reported physician diagnosis. Data were analyzed using Poisson regression models to estimate prevalence ratios (PR) and 95% confidence intervals (CI). Latinxs comprised 28.5% of our sample, of which, 18.5% was discordant and 81.5% was concordant. In fully adjusted models, concordant Latinxs were more likely to have T2DM than whites (aPR 2.01, 95% CI 1.44, 2.82). There were no significant differences in T2DM between discordant Latinxs and whites. Our results suggest that socially assigned race is an understudied determinant of health and may further understanding of the impact of racial stratification on Latinx health inequities. Additional research examining socially assigned race and other health outcomes are warranted to gain further insight of the biological impact of racialized lived experiences.

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.

Light-Intensity Physical Activity and Cardiometabolic Risk Among Older Adults With Multiple Chronic Conditions.

PURPOSE: To assess the relationship between light-intensity physical activity (LIPA) and cardiometabolic risk factors among middle-aged and older adults with multiple chronic conditions. DESIGN: Cross-sectional design utilizing data from the Health and Retirement Study (2010, 2012). SETTING: Laboratory- and survey-based testing of a nationally representative sample of community-dwelling middle aged and older adults. PARTICIPANTS: Adults aged 50 years and older (N = 14 996). MEASURES: Weighted metabolic equivalent of tasks was calculated using self-reported frequency of light, moderate, and vigorous physical activity. Cardiometabolic risk factors (systolic and diastolic blood pressure, glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C], total cholesterol, and non-HDL-C) were objectively measured. A multiple chronic condition index was based on 8 self-reported chronic conditions. ANALYSIS: Weighted multivariate linear regression models. RESULTS: Light-intensity physical activity was independently associated with favorable HDL-C (ß = 1.25; 95% confidence interval [CI]: 0.46-2.05) and total cholesterol (ß = 2.72; 95% CI: 0.53-4.90) after adjusting for relevant confounders. The HDL-C health benefit was apparent when stratified by number of chronic conditions, for individuals with 2 to 3 conditions (ß = 1.73; 95% CI: 0.58-2.89). No significant associations were observed between LIPA and blood pressure, HbA1c, or non-HDL-C. CONCLUSIONS: Engaging in LIPA may be an important health promotion activity to manage HDL-C and total cholesterol. Additional longitudinal research is needed to determine the causal association between LIPA and cardiometabolic risk which can potentially inform physical activity guidelines targeting older adults with multiple chronic conditions.

Differential perceptions of a hypothetical sexual assault survivor based on race and ethnicity: Exploring victim responsibility, trauma, and need for social support.

Objective: Explore the ways in which a sample of college women interpret racially/ethnically coded vignettes to understand their perceptions of responsibility and trauma experienced by a hypothetical female sexual assault survivor and her need for social support. Participants: Convenience sample of college women (N = 51) attending a large, predominately white university in the Southeastern United States recruited between January and March 2013. Methods: Participants were randomly assigned one of three vignettes describing a hypothetical date rape scenario. Vignette scenarios were identical except for discrete statements coded to signify either an African American, Latina, or white female student. Participants responded to open-ended questions that gauged their interpretations of responsibility, trauma, and social support. Results: Qualitative analysis of open-ended responses revealed six overarching themes, including overt victim blaming/shaming, justification of the sexual assault, and perceived need for social support. Conclusions: Findings point to the significance of including race in discussions about and programs that address sexual assault on college campuses to ensure that all women who experience sexual violence receive the support that they need.