Historical Redlining and Heart Failure Outcomes Following Hospitalization in the Southeastern United States.

BACKGROUND: Historical redlining, a discriminatory lending practice, is an understudied component of the patient risk environment following hospital discharge. We investigated associations between redlining, patient race, and outcomes following heart failure hospitalization. METHODS AND RESULTS: We followed a hospital-based cohort of Black and White patients using electronic medical records for acute heart failure hospitalizations between 2010 and 2018 (n=6800). Patient residential census tracts were geocoded according to the 1930s Home Owners' Loan Corporation map grades (A/B: best/still desirable, C: declining, D: redlined). We used Poisson regression to analyze associations between Home Owners' Loan Corporation grade and 30-day outcomes (readmissions, mortality, and their composite). One-third of patients resided in historically redlined tracts (n=2034). In race-stratified analyses, there was a positive association between historically declining neighborhoods and composite readmissions and mortality for Black patients (risk ratio [RR], 1.24 [95% CI, 1.003-1.54]) and an inverse association between redlined neighborhoods and 30-day readmissions among White patients (RR, 0.58 [95% CI, 0.39-0.86]). Examining racial disparities across Home Owners' Loan Corporation grades, Black patients had higher 30-day readmissions (RR, 1.86 [95% CI, 1.31-2.65]) and composite readmissions and mortality (RR, 1.32 [95% CI, 1.04-1.65]) only in historically redlined neighborhoods. CONCLUSIONS: Historical redlining had potentially mixed impacts on outcomes by race, such that residing in less desirable neighborhoods was associated with an elevated risk of an adverse outcome following heart failure hospitalization in Black patients and a reduced risk in White patients. Moreover, racial disparities in patient outcomes were present only in historically redlined neighborhoods. Additional research is needed to explore observed heterogeneity in outcomes.

Association of Psychosocial Risk Factors With Quality of Life and Readmissions 1-Year After LVAD Implantation.

BACKGROUND: Among patients with advanced heart failure (HF), treatment with a left ventricular assist device (LVAD) improves health-related quality of life (HRQOL). We investigated the association between psychosocial risk factors, HRQOL, and outcomes after LVAD implantation. METHODS: A retrospective cohort (n=9832) of adults aged ≥ 19 years who received durable LVAD between 2008 - 2017 was identified using the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS). Patients were considered to have psychosocial risk factors if ≥1 of the following were present: 1) substance abuse; 2) limited social support; 3) limited cognitive understanding; 4) repeated non-adherence; and 5) major psychiatric disease. Multivariable logistic and linear regression models were used to evaluate the association between psychosocial risk factors and change in Kansas City Cardiomyopathy Questionnaire (KCCQ)-12 scores from baseline to 1-year, persistently poor HRQOL (KCCQ-12 score < 45 at baseline and 1-year), and 1-year rehospitalization. RESULTS: Among the final analytic cohort, 2024 (20.6%) patients had ≥1 psychosocial risk factors. Patients with psychosocial risk factors were associated with a smaller improvement in KCCQ-12 scores from baseline to 1-year (Mean ± SD, 29.1 ± 25.9 vs 32.6 ± 26.1, p=0.015) for a difference of -3.51 (95% confidence interval [CI]: -5.88 to -1.13). Psychosocial risk factors were associated with persistently poor HRQOL (adjusted odds ratio [aOR] 1.35, 95% confidence interval [CI] 1.04 - 1.74), and 1-year all-cause readmission (adjusted hazard ratio [aHR] 1.11, 95% CI 1.05 - 1.18). Limited social support, major psychiatric disorder, and repeated non-adherence were associated with persistently poor HRQOL, while major psychiatric disorder was associated with 1-year rehospitalization. CONCLUSION: The presence of psychosocial risk factors is associated with lower KCCQ-12 scores and higher risk for readmission at 1-year after LVAD. While these associations are statistically significant, further research is needed to determine whether these differences are clinically meaningful.

Diabetes disparities in the United States: Trends by educational attainment from 2001 to 2020.

INTRODUCTION: Tracking changes in socioeconomic disparities in diabetes in the US is important to evaluate progress in health equity and guide prevention efforts. Disparities in diabetes prevalence by educational attainment from 2001 to 2020 were investigated. METHODS: Using a serial cross-sectional design, data from 33,220 adults aged 30 to 79 assessed in nine rounds of the National Health and Nutrition Examination Surveys between 2001 to 2020 were analyzed in 2023-4. Diabetes was defined as self-reported prior diagnosis, elevated glycated hemoglobin (HbA1c≥6.5%), or use of diabetes medications. Marginalized age- and covariate-adjusted prevalence differences (PD) and prevalence ratios (PR) of diabetes by educational attainment (less than high school graduation, high school graduation, some college education or associate degree, or college graduation [reference]) by calendar period (2001-04, 2005-08, 2009-12, 2013-16, 2017-20) were derived from logistic regression models. RESULTS: From 2001 to 2020, age-adjusted diabetes prevalence was consistently higher among adults without a college degree. Adults without a high school diploma exhibited the largest disparities in both 2001-04 (PD 8.0%; 95%CI 5.6-10.5 and PR 2.1; 95%CI 1.5-2.6) and 2017-20 (PD 11.0%; 95%CI 6.7-15.2 and PR 2.1; 95%CI 1.5-2.7). Between 2001-04 and 2017-20, the absolute disparity in diabetes increased only among adults with a high school diploma (PD 1.7% 95%CI -0.5-3.9 vs PD 8.8%; 4.1-13.4, respectively), while the PR did not change in any group. Education-related disparities in diabetes were attenuated after accounting for socio-demographic factors and BMI. CONCLUSIONS: From 2001 to 2020, national education-related disparities in diabetes prevalence have shown no signs of narrowing.

Natural History of Type 2 Diabetes in Indians: Time to Progression.

OBJECTIVE: To describe the natural history of diabetes in Indians. RESEARCH DESIGN AND METHODS: Data are from participants older than 20 years in the Centre for Cardiometabolic Risk Reduction in South Asia longitudinal study. Glycemic states were defined per American Diabetes Association criteria. Markov models were used to estimate annual transition probabilities and sojourn time through states. RESULTS: Among 2,714 diabetes-free participants, 641 had isolated impaired fasting glucose (iIFG), and 341 had impaired glucose tolerance (IGT). The annual transition to diabetes for those with IGT was 13.9% (95% CI 12.0, 15.9) versus 8.6% (7.3, 9.8) for iIFG. In the normoglycemia ↔ iIFG → diabetes model, mean sojourn time in normoglycemia was 40.3 (34.6, 48.2) years, and sojourn time in iIFG was 9.7 (8.4, 11.4) years. For the normoglycemia ↔ IGT → diabetes model, mean sojourn time in normoglycemia was 34.5 (29.5, 40.8) years, and sojourn time in IGT was 6.1 (5.3, 7.1) years. CONCLUSIONS: Individuals reside in normoglycemia for 35-40 years; however, progression from prediabetes to diabetes is rapid.

Poor Medication Access as a Driver of Excess Heart-Failure Readmissions Among Patients Living in Economically Deprived Neighborhoods.

BACKGROUND: Patients residing in socioeconomically deprived neighborhoods experience higher hospital readmission rates after hospitalization for heart failure (HF). The role of medication access in the excessive readmissions in this group is poorly understood. This study explored patients' perspectives on medication access by individuals living in socioeconomically deprived neighborhoods who had experienced HF readmission. METHODS: We conducted semistructured in-depth interviews with 25 patients (mean age 61 ± 9 years, 96% Black, 40% women) who were readmitted with acute HF at Emory Healthcare hospitals and were living in highly deprived neighborhoods (top decile of the Social Deprivation Index). Qualitative descriptive analyses of the interviews were performed by using a multilevel coding strategy. RESULTS: Most patients (84%) highlighted medications as a driver of HF readmission. Patients' reported reasons for lack of medication access included medication costs (60%), having access to refills only through an emergency department or hospitalization (36%), limited access to transportation (12%), and limited understanding of medications' role in disease management (12%). CONCLUSION: Lack of access to medications for patients with HF who live in socioeconomically distressed neighborhoods exacerbate excess hospitalizations in this vulnerable population. This study focuses on patients' perspectives and experiences and identifies some potentially high-value areas to focus on in trying to enhance access and adherence to evidence-based therapies.

Association of pro-inflammatory cytokines, adipokines and hepatokine with incident diabetes in India: a nested case-control study within CARRS cohort.

AIMS: To study the association of pro-inflammatory markers with incident diabetes in India. METHODS: We did a nested case-control study within the CARRS (Centre for Ardiometabolic Risk Reduction in South Asia) cohort. Of the 5739 diabetes-free individuals at the baseline, 216 participants with incident diabetes and 432 age-, gender- and city-matched controls at 2-year follow-up were included. We measured high sensitive C-reactive protein (hsCRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein-1 ( MCP-1), adiponectin, leptin and fetuin-A in the stored baseline blood samples. We did multivariate conditional logistic regression to estimate association of inflammatory markers (as quartiles) and incident diabetes. Covariates were baseline fasting plasma glucose (FPG) and lipids, body mass index (BMI), family history of diabetes, smoking and alcohol use. RESULTS: Baseline hsCRP and TNF-α were higher, and IL-6 and adiponectin were lower among cases vs. controls. In multivariate conditional logistic regression models, only quartile-3 (odds ratio [OR]: 2.96 [95% CI:1.39, 6.30]) and quartile-4 (OR: 2.58 [95% CI: 1.15, 5.79]) of TNF-α and quartile-4 of MCP-1 (OR: 2.55 [95% CI: 1.06, 6.16]) were positively associated with diabetes after adjusting for baseline FPG and BMI. These associations did not remain after adjusting for family history. High level (quartile-4) of IL-6 was negatively associated with diabetes after adjusting for all factors (OR: 0.18 [95% CI: 0.06, 0.55]). CONCLUSIONS: Higher TNF-α and MCP-1 levels and lower IL-6 were associated with higher risk of developing diabetes. Better understanding and potential methods of addressing these biomarkers, especially in relation to family history, are needed to address diabetes in South Asians.

Association of collaborative care intervention features with depression and metabolic outcomes in the INDEPENDENT study: A mixed methods study.

AIMS: The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) trial tested a collaborative care model including electronic clinical decision support (CDS) for treating diabetes and depression in India. We aimed to assess which features of this clinically and cost-effective intervention were associated with improvements in diabetes and depression measures. METHODS: Post-hoc analysis of the INDEPENDENT trial data (189 intervention participants) was conducted to determine each intervention feature's effect: 1. Collaborative case reviews between expert psychiatrists and the care team; 2. Patient care-coordinator contacts; and 3. Clinicians' CDS prompt modifications. Primary outcome was baseline-to-12-months improvements in diabetes control, blood pressure, cholesterol, and depression. Implementer interviews revealed barriers and facilitators of intervention success. Joint displays integrated mixed methods' results. RESULTS: High baseline HbA1c≥ 74.9 mmol/mol (9%) was associated with 5.72 fewer care-coordinator contacts than those with better baseline HbA1c (76.8 mmol/mol, 9.18%, p < 0.001). Prompt modification proportions varied from 38.3% (diabetes) to 1.3% (LDL). Interviews found that providers' and participants' visit frequencies were preference dependent. Qualitative data elucidated patient-level factors that influenced number of clinical contacts and prompt modifications explaining their lack of association with clinical outcomes. CONCLUSION: Our mixed methods approach underlines the importance of the complementarity of different intervention features. Qualitative findings further illuminate reasons for variations in fidelity from the core model.

Changes in Diabetes Care and Management Practices during the COVID-19 Pandemic.

Background: Evidence suggests diabetes management was negatively impacted early in the pandemic. However, the impact of the pandemic on key healthcare services for diabetes control and diabetes self-management practices is less known. We examined changes in diabetes care and management practices before and during the COVID-19 pandemic. Methods: Population-based data regarding 4 diabetes-related healthcare engagement and 4 self-management indicators were obtained from adults with diabetes surveyed in 19 US States and Washington DC through the Behavioral Risk Factor Surveillance System. Using logistic regression, we estimated changes in the prevalence of each indicator, overall and by sociodemographic subgroups, before (2019; n = 15,307) and during (2021; n = 13,994) the COVID-19 pandemic. Results: Between 2019 and 2021, the prevalence of biannual HbA1c tests reduced by 2.6 percentage points (pp, 95% CI :-4.8, -0.4), from 75.4-73.1%, and prevalence of annual eye exams fell by 4.0 pp (-6.2, -2.8), from 72.2-68.7%. The composite indicator of engagement with healthcare for diabetes control fell by 3.5 pp (-5.9, -1.1), from 44.9-41.9%. Reductions in engagement with healthcare were largely seen across sex, age, education, employment status, marital status, insurance status, and urbanicity; and were more pronounced among those aged 18-34 and the uninsured. Reductions in engagement with healthcare were seen in several states, with Delaware and Washington DC reporting the largest decrease. Of self-management behaviors, we only observed change in avoidance of smoking, an increase of 2.0 pp (0.4, 3.6) from 84.7-87.1%. Conclusions: The pandemic had mixed impacts on diabetes care and self-management. The findings suggest a deterioration of the uptake of evidence-based, preventive health services requiring laboratory services and clinical examination for diabetes control during the pandemic. On the other hand, smoking rates decreased, suggesting potential positive impacts of the pandemic on health behaviors in people with diabetes.

COVID-19 pandemic-related healthcare interruptions and diabetes distress: a national study of US adults with diabetes.

BACKGROUND: Early COVID-19 pandemic research found changes in health care and diabetes management, as well as increased diabetes distress. This study aims to determine the association between COVID-19 pandemic-related healthcare interruptions and diabetes distress among adults with Type 1 and Type 2 diabetes in the US in 2021. METHODS: Multinomial logistic regression was used to analyze moderate and high levels of diabetes distress (reference = no diabetes distress) in 228 individuals with Type 1 diabetes and 2534 individuals with Type 2 diabetes interviewed in the National Health Interview Survey in 2021. RESULTS: Among adults with Type 1 diabetes, 41.2% experienced moderate diabetes distress and 19.1% experienced high diabetes distress, and among adults with Type 2 diabetes, 40.8% experienced moderate diabetes distress and 10.0% experienced high diabetes distress. In adults with Type 1 diabetes, experiencing delayed medical care was associated with an adjusted odds ratio (aOR) of 4.31 (95% CI: 1.91-9.72) for moderate diabetes distress and 3.69 (95% CI: 1.20-11.30) for high diabetes distress. In adults with Type 2 diabetes, experiencing delayed medical care was associated with an aOR of 1.61 (95% CI: 1.25-2.07) for moderate diabetes distress and 2.27 (95% CI: 1.48-3.49) for high diabetes distress. Similar associations were observed between not receiving medical care due to the pandemic and diabetes distress. CONCLUSION: Among people with diabetes, experiencing delayed medical care and not receiving care due to the pandemic were associated with higher reports of diabetes distress.

Perceived stress and progression of cardiometabolic risk factors among South Asians with prediabetes in a lifestyle intervention trial.

AIMS: To examine associations between perceived stress and cardiometabolic risk factors in South Asians with prediabetes and assess whether a diabetes prevention program mitigates the impact of stress on cardiometabolic health. METHODS: We conducted a secondary analysis of the Diabetes Community Lifestyle Improvement Program, a lifestyle modification trial for diabetes prevention in India (n = 564). Indicators for cardiometabolic health (weight, waist circumference, blood pressure, glucose, HbA1c, and lipids) were measured at each visit while perceived stress was assessed via questionnaire at baseline. Multivariable linear regression assessed associations between stress and cardiometabolic parameters at baseline and 3-year follow up. RESULTS: At baseline, perceived stress was associated with higher weight (b=0.16; 95% CI: 0.04, 0.29) and waist circumference (b=0.11; 95% CI: 0.01, 0.21) but lower 30-minute postload glucose (b=-0.44; 95% CI: -0.76, -0.14) and LDL cholesterol (b=-0.40; 95% CI: -0.76, -0.03). Over the study period, perceived stress was associated with weight gain (b=0.20; 95% CI: 0.07, 0.33) and increased waist circumference (b=0.14; 95% CI: 0.04, 0.24). Additionally, higher perceived stress was associated with lower HDL cholesterol among the control arm (pinteraction = 0.02). CONCLUSIONS: Baseline stress was associated with negative cardiometabolic risk factor outcomes over time in those with prediabetes.

Racial Disparities in COVID-19 Severity Are Partially Mediated by Chronic Stress-Evidence from a Large Integrated Healthcare System.

BACKGROUND: Racial and ethnic minorities have experienced a disproportionate burden of severe COVID-19. Whether chronic stress, also disproportionately experienced by racial and ethnic minorities, explains this excess risk is unknown. METHODS: We identified 9577 adults (≥ 18 years) diagnosed with COVID-19 from January 1, 2020, through September 30, 2021, enrolled in Kaiser Permanente Georgia (KPGA) with complete biomarker data. Self-reported race (Black or White) was defined from electronic medical records. Chronic stress, defined as allostatic load (AL), a composite score (scale 0-7) based on seven cardio-metabolic biomarkers, was categorized as below (low AL) or above (high AL) the median. Severe COVID-19 was defined as hospitalization or mortality within 30 days of COVID-19 diagnosis. The association between race, AL, and severe COVID-19 was assessed using multivariable Poisson regression. The mediating effect of AL was assessed using the Valeri and VanderWeele method. All results were expressed as risk ratios (RRs) with 95% confidence intervals. RESULTS: Overall, Black (vs. White) KPGA members had an 18% excess risk of AL (RR: 1.18, 95%CI: 1.14-1.23) and a 24% excess risk of severe COVID-19 (RR: 1.24, 95%CI: 1.12, 1.37). AL explained 23% of the Black-White disparities in severe COVID-19. CONCLUSIONS: In our study, chronic stress, characterized by AL, partially mediated Black-White disparities in severe COVID-19 outcomes.

Concordance of high blood pressure among middle-aged and older same-sex couples in the USA.

Heterosexual couples in romantic relationships are known to influence each other's hypertension risk. However, the role of partners on an individual's hypertension status in same-sex relationships is less understood. Our objective is to characterize the burden of high blood pressure among middle-aged and older couples consisting of men who have sex with men (MSM) and women who have sex with women (WSW) living in the US. Among 81 same-sex couples from the Health and Retirement Study 2006-18, 72.4% (95%CI: 23.4-95.7) MSM couples and 61.0% (95%CI: 30.4-84.8) WSW couples consisted of both partners with hypertension. Same-sex couples demonstrate high concordance of hypertension and related risk factors, suggesting a need to develop novel interventions targeting MSM and WSW couples.

Spousal Concordance of Hypertension Among Middle-Aged and Older Heterosexual Couples Around the World: Evidence From Studies of Aging in the United States, England, China, and India.

BACKGROUND: Health concordance within couples presents a promising opportunity to design interventions for disease management, including hypertension. We compared the concordance of prevalent hypertension within middle-aged and older heterosexual couples in the United States, England, China, and India. METHODS AND RESULTS: Cross-sectional dyadic data on heterosexual couples were used from contemporaneous waves of the HRS (US Health and Retirement Study, 2016/17, n=3989 couples), ELSA (English Longitudinal Study on Aging, 2016/17, n=1086), CHARLS (China Health and Retirement Longitudinal Study, 2015/16, n=6514), and LASI (Longitudinal Aging Study in India, 2017/19, n=22 389). Concordant hypertension was defined as both husband and wife in a couple having hypertension. The prevalence of concordant hypertension within couples was 37.9% (95% CI, 35.8-40.0) in the United States, 47.1% (95% CI, 43.2-50.9) in England, 20.8% (95% CI, 19.6-21.9) in China, and 19.8% (95% CI, 19.0-20.5) in India. Compared with wives married to husbands without hypertension, wives married to husbands with hypertension were more likely to have hypertension in the United States (prevalence ratio, 1.09 [95% CI, 1.01- 1.17), England (prevalence ratio, 1.09, 95% CI, 0.98-1.21), China (prevalence ratio, 1.26 [95% CI, 1.17-1.35), and India (prevalence ratio, 1.19 [95% CI, 1.15-1.24]). Within each country, similar associations were observed for husbands. Across countries, associations in the United States and England were similar, whereas they were slightly larger in China and India. CONCLUSIONS: Concordance of hypertension within heterosexual couples was consistently observed across these 4 socially and economically diverse countries. Couple-centered interventions may be an efficient strategy to prevent and manage hypertension in these countries.

The Association Between Black vs. White Race and 30-Day Hospitalization Among People Diagnosed with COVID-19 Within an Integrated Care Setting: a Cohort Study.

BACKGROUND: Black Americans are more likely to experience hospitalization from COVID-19 compared with White Americans. Whether this excess risk differs by age, sex, obesity, or diabetes, key risk factors for COVID hospitalization, among an integrated population with uniform healthcare access, are less clear. METHODS: We identified all adult members (≥ 18 years) of Kaiser Permanente Georgia (KPGA) diagnosed with COVID-19 between January 1, 2020, and September 30, 2021 (N = 24,564). We restricted the analysis to members of Black or White race identified from electronic medical records. Our primary outcome was first hospitalization within 30 days of COVID-19 diagnosis. To assess the association between race and 30-day hospitalization, we performed multivariable logistic regression adjusting for several member and neighborhood-level characteristics, and tested for interactions of race with age, sex, diabetes, and obesity. A regression-based decomposition method was then used to estimate how much of the observed race disparity in 30-day hospitalization could be explained by member and neighborhood-level factors. RESULTS: Overall, 11.27% of Black KPGA members were hospitalized within 30 days of a COVID diagnosis, as compared with 9.44% of White KPGA members. Black (vs. White) KPGA members had a 34% (aOR: 1.32 [95% CI: 1.19-1.47]) higher odds of 30-day hospitalization following COVID-19 after accounting for clinical differences. The odds of 30-day hospitalization in Black vs. White KPGA members did not differ significantly by sex (men: 1.46 [1.25-1.70]; women: 1.24 [1.07-1.43]), by age (18-29 years: 1.33 [0. 841-2.10]; 30-49 years: 1.26 [1.02-1.56]; ≥ 50 years: 1.24 [1.10-1.41]); by diabetes status (with diabetes: 1.38 [1.16-1.66]; without diabetes: 1.26 [1.11-1.44]), or by obesity (with obesity: 1.31 [1.15-1.50]; without obesity: 1.28 [1.06-1.53]). Factors that, if Black and White KPGA members had the same level of exposure, would be most likely to reduce the Black-White disparity in 30-day hospitalization from COVID-19 were obesity, history of flu vaccine, and neighborhood-level income and social vulnerability. CONCLUSIONS: Early in the pandemic, Black (vs. White) members of an integrated health system had higher odds of being hospitalized within 30 days of COVID-19 diagnosis and this excess risk was similar by sex, age, and comorbidities. Factors that explained the largest proportions of race-based disparities were obesity, receipt of flu vaccine, and neighborhood-level social determinants of health. These findings suggest that social determinants of health, or other unmeasured factors, may be drivers of racial disparities in COVID-19 outcomes.

A population-based study of the trend in SARS-CoV-2 diagnostic modalities from the beginning of the pandemic to the Omicron surge in Kyoto City, Kyoto, Japan.

BACKGROUND: The coronavirus disease 2019 (COVID-19) presents critical diagnostic challenges for managing the pandemic. We investigated the 30-month changes in COVID-19 testing modalities and functional testing sites from the early period of the pandemic to the most recent Omicron surge in 2022 in Kyoto City, Japan. METHODS: This is a retrospective-observational study using a local anonymized population database that included patients' demographic and clinical information, testing methods and facilities from January 2020 to June 2022, a total of 30 months. We computed the distribution of symptomatic presentation, testing methods, and testing facilities among cases. Differences over time were tested using chi-square tests of independence. RESULTS: During the study period, 133,115 confirmed COVID-19 cases were reported, of which 90.9% were symptomatic. Although nucleic acid amplification testing occupied 68.9% of all testing, the ratio of lateral flow devices (LFDs) rapidly increased in 2022. As the pandemic continued, the testing capability was shifted from COVID-19 designated facilities to general practitioners, who became the leading testing providers (57.3% of 99,945 tests in 2022). CONCLUSIONS: There was a dynamic shift in testing modality during the first 30 months of the pandemic in Kyoto City. General practitioners increased their role substantially as the use of LFDs spread dramatically in 2022. By comprehending and documenting the evolution of testing methods and testing locations, it is anticipated that this will contribute to the establishment of an even more efficient testing infrastructure for the next pandemic.

Soluble urokinase Plasminogen Activator Receptor (suPAR) mediates the effect of a lower education level on adverse outcomes in patients with coronary artery disease.

AIMS: To investigate whether the adverse impact of lower educational attainment on mortality risk in patients with coronary artery disease (CAD) is mediated by activation of inflammatory and immune pathways, estimated as elevated suPAR levels. METHODS: In 3,164 patients undergoing coronary angiography, we investigated multivariable associations between suPAR and educational attainment and assessed the relationship between a lower educational level (defined as high school degree or less as highest educational qualification) and outcomes using Cox proportional hazard and Fine and Gray's sub-distribution competing risk models. Potential mediating effect through suPAR and hs-CRP was assessed using mediation analysis. RESULTS: 1,814 patients (57.3%) had achieved a higher (≥college), and 1,350 patients (42.7%) a lower (≤high school) education level. SuPAR levels were 9.0% [95% CI 6.3-11.8, p ≤0.0001] higher in patients with lower compared to higher educational qualifications after covariate adjustment. Lower educational attainment was associated with a higher risk of cardiovascular death after adjustment for demographic, clinical, and behavioral covariates, including CAD severity and heart failure history, medication use, and hs-CRP levels (HR 1.26 [95% CI 1.02-1.55, p=0.03]). However, after adjustment for suPAR levels, the effect of a lower educational level on cardiovascular death became insignificant. Values were similar for all-cause death. SuPAR levels mediated 49% and hs-CRP levels 17% of the cardiovascular death risk attributable to lower educational attainment. CONCLUSION: Circulating suPAR levels importantly mediate the effects of lower educational attainment on mortality, indicating the importance of systemic inflammation and immune dysregulation as biologic mediators of adverse social determinants of health.

In patients with coronary artery disease (CAD), we demonstrate that nearly half of the higher risk of all-cause and cardiovascular mortality associated with lower educational attainment as a measure of socioeconomic status is mediated by systemic inflammation and immune dysregulation that can be estimated by measurement of circulating suPAR levels. Even after accounting for differences in cardiovascular risk factors, lower educational attainment is associated with higher mortality risk in patients with CAD and there is activation of inflammatory pathways and immune dysregulation in those with lower (≤high school) compared to higher (≥college) educational attainment, estimated as higher circulating suPAR levels. Almost half of the higher risk for adverse outcomes observed in those with lower educational attainment appears to be due to systemic inflammation and immune dysregulation and can be estimated from measurement of suPAR levels.

Hypertension Diagnosis, Treatment, and Control in India.

Importance: Hypertension is a major cause of morbidity and mortality worldwide. Previous efforts to characterize gaps in the hypertension care continuum-including diagnosis, treatment, and control-in India did not assess district-level variation. Local data are critical for planning, implementation, and monitoring efforts to curb the burden of hypertension. Objective: To examine the hypertension care continuum in India among individuals aged 18 to 98 years. Design, Setting, and Participants: The nationally representative Fifth National Family Health Survey study was conducted in 2 phases from June 17, 2019, to March 21, 2020, and from November 21, 2020, to April 30, 2021, among 1 895 297 individuals in 28 states, 8 union territories, and 707 districts of India. Exposures: District and state of residence, urban classification, age (18-39, 40-64, and ≥65 years), sex, and household wealth quintile. Main Outcomes and Measures: Hypertension was defined as a self-reported diagnosis or a newly measured blood pressure of 140/90 mm Hg or more. The proportion of individuals diagnosed (self-reported), the proportion of individuals treated among those diagnosed (self-reported medication use), and the proportion of individuals with blood pressure control among those treated (blood pressure <140/90 mm Hg [aged 18-79 years] or <150/90 mm Hg [aged ≥80 years]) were calculated based on national guidelines. Age-standardized estimates of treatment and control were also provided among the total with hypertension. To assess differences in the care continuum between or within states (ie, between districts), the variance was partitioned using generalized linear mixed models. Results: Of the 1 691 036 adult respondents (52.6% women; mean [SD] age, 41.6 [16.5] years), 28.1% (95% CI, 27.9%-28.3%) had hypertension, of whom 36.9% (95% CI, 36.4%-37.3%) received a diagnosis. Among those who received a diagnosis, 44.7% (95% CI, 44.1%-45.3%) reported taking medication (corresponding to 17.7% [95% CI, 17.5%-17.9%] of the total with hypertension). Among those treated, 52.5% (95% CI, 51.7%-53.4%) had blood pressure control (corresponding to 8.5% [95% CI, 8.3%-8.6%] of the total with hypertension). There were substantial variations across districts in blood pressure diagnosis (range, 6.3%-77.5%), treatment (range, 8.7%-97.1%), and control (range, 2.7%-76.6%). Large proportions of the variation in hypertension diagnosis (94.7%), treatment (93.6%), and control (97.3%) were within states, not just between states. Conclusions and Relevance: In this cross-sectional survey study of Indian adults, more than 1 in 4 people had hypertension, and of these, only 1 in 3 received a diagnosis, less than 1 in 5 were treated, and only 1 in 12 had blood pressure control. National mean values hide considerable state-level and district-level variation in the care continuum, suggesting the need for targeted, decentralized solutions to improve the hypertension care continuum in India.

Exploring the Association Between Indicators of Socioeconomic Instability, Survival Sex, and Methamphetamine Use Among Young Adult Black Gay, Bisexual, and Other Men Who Have Sex With Men: A Cross-Sectional Study.

ABSTRACT: Methamphetamine (Meth) use is a contributor to poor health outcomes among young Black American gay, bisexual, and other men who have sex with men (YB-GBMSM). Emerging research indicates that socioeconomic instability may be a salient antecedent of meth use as men may be encouraged to engage in health-eroding activities, such as survival sex, to care for themselves, and then cope with instability-related stress via use of substances. We examined the degree to which indicators of socioeconomic instability, including homelessness and food insecurity, would directly, and indirectly, predict increases in meth use, via survival sex engagement. Hypotheses were tested using mediated path analysis with data from 100 YB-GBMSM in Atlanta, Georgia. Preliminary analysis results demonstrated positive associations between engaging in survival sex, food insecurity, homelessness, and living with HIV. Findings demonstrated that homelessness and food insecurity were directly associated with increased survival sex engagement but were not directly associated with meth use. Homelessness and food insecurity were indirectly associated with increased severity of meth use, via increased engagement in survival sex. Socioeconomic instability and survival sex engagement may be important intervention targets for future meth use intervention/prevention programming. Integrating programmatic components that address homelessness and food insecurity may decrease YB-GBMSM's need to rely on survival sex to meet their needs and decrease their likelihood of using meth as a result.

Role of country of origin and state of residence for dietary change among foreign-born adults in the US.

Place of origin and place of current residence may shape migrants' health-related behaviors. Using the nationally-representative US New Immigrant Survey (n = 7930), we examined associations between country of origin, state of residence, and dietary changes among foreign-born adults. 65% of migrants reported dietary change since immigration (mean score = 7.3; range = 1-10); 6% of the variance was explained by country of origin characteristics; 1.6% by US state of residence; 1.4% by their interaction. Country of origin factors, specifically availability of animal source foods and sweets, were associated with dietary change, availability of sweets also including greater abandonment of specific foods and adoption of others.

Social and economic factors and black-white disparities in cardiovascular health: A decomposition analysis.

Background: Cardiovascular health (CVH) in Black adults, and particularly in Black women, has lagged behind White adults for decades and contributes to higher mortality rates for Black adults. We quantified the contribution of five social and economic factors to observed racial disparities in CVH by gender. Methods: We analyzed data from N = 8,019 adults aged ≥20 years free of cardiovascular disease assessed in the National Health and Nutrition Examination Survey, 2011-2018. Social and economic factors included self-reported education, income, employment, food security, and marital status. CVH was measured using eight behavioral and clinical indicators. We utilized Kitagawa-Blinder-Oaxaca decomposition to quantify gendered racial differences in CVH accounted for by these factors. Results: Black women (mean CVH = 79.3) had a lower age-adjusted CVH score compared to White women (mean CVH = 82.3) (mean difference [MD] = -3.01; 95% CI: -5.18, -0.84). Social and economic factors accounted for a 3.26-point disadvantage (95% CI: -4.12, -2.40) and a 0.25-point CVH score advantage due to factors not accounted for in the model. In women, income had the largest coefficient associated with CVH score (b = -1.48; 95% CI: -2.04, -0.92). Among men, social and economic factors accounted for a 2.27-point disadvantage (95% CI: -2.97, -1.56) with educational attainment being the largest coefficient associated with CVH score (b = -1.55; 95% CI: -2.03, -1.06). However, the disadvantage in men was offset by a 1.99 CVH score advantage that was not accounted for by factors in the model resulting in no racial difference in age-adjusted CVH score (MD = -0.28; 95% CI: -3.78, 3.22). Conclusions: Racial differences in social and economic factors may contribute a large portion to the observed disparity in CVH between U.S. Black and White women.