Factor VIII and Incident Hypertension in Black and White Adults: The REasons for Geographic and Racial Differences in Stroke (REGARDS) Cohort.

BACKGROUND: Nearly half of all Americans have hypertension, and Black adults experience a disproportionate burden. Hypercoagulability may relate to hypertension risk, and higher levels of factor VIII increase thrombosis risk. Black adults have higher factor VIII and more hypertension than other groups. Whether higher factor VIII associates with incident hypertension is unknown. METHODS: The Biomarkers as Mediators of Racial Disparities in Risk Factors (BioMedioR) study measured certain biomarkers in a sex-race stratified sample of 4,400 REGARDS participants who attended both visits. We included BioMedioR participants, excluding those with prevalent hypertension, missing factor VIII level, or covariates of interest. Modified Poisson regression estimated risk ratios (RR) for incident hypertension by higher log-transformed factor VIII level per SD (SD of log-transformed factor VIII, 0.33). Weighting was applied to take advantage of REGARDS sampling design. RESULTS: Among the 1,814 participants included (55% female, 24% Black race), median follow-up was 9.5 years and 35% (2,146/6,138) developed hypertension. Black participants had a higher median (IQR) factor VIII level (105.6%; 87.1 to 126.9%) than White participants (95.6%; 79.8% to 115.9%; p<0.001). . The age and sex-adjusted Black-White hypertension RR was 1.45 (95% CI 1.28, 1.63). Higher factor VIII was not associated with more hypertension (final model RR 1.01; 95% CI 0.94, 1.07). CONCLUSIONS: In a prospective study of Black and White adults without prevalent hypertension, factor VIII was not associated with greater hypertension risk.

Transitions to Family Caregiving and Latent Variables of Systemic Inflammation Over Time.

Circulating levels of inflammatory biomarkers may be influenced by chronic psychological stressors such as those experienced by family caregivers. However, previous studies have found mostly small and inconsistent differences between caregivers and control samples on individual measures of systemic inflammation. Latent variables of inflammation were extracted from six biomarkers collected from two blood samples over 9 years apart for 502 participants in a national cohort study. One-half of these participants transitioned into a sustained family caregiving role between the blood samples. Two latent factors, termed "up-regulation" and "inhibitory feedback," were identified, and the transition to family caregiving was associated with a lower increase over time on the inhibitory feedback factor indexed by interleukin (IL)-2 and IL-10. No caregiving effect was found on the up-regulation factor indexed primarily by IL-6 and C-reactive protein. These findings illustrate the advantages of using latent variable models to study inflammation in response to caregiving stress.

Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design.

The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies have collected data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R links this pre-coronavirus disease 2019 (COVID-19) phenotyping to information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and acute and postacute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and reflects the racial, ethnic, socioeconomic, and geographic diversity of the United States. C4R ascertains SARS-CoV-2 infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey conducted via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations and high-quality event surveillance. Extensive prepandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these data will be pooled and shared widely to expedite collaboration and scientific findings. This resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including postacute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term health trajectories.

Diabetes and acculturation in African immigrants to the United States: analysis of the 2010-2017 National Health Interview Survey (NHIS).

Objective: This study sought to assess the association between unidimensional acculturation and diabetes, and analyze mediating pathways of the association in African immigrants to the United States (U.S.).Hypothesis: Acculturation would be positively associated with diabetes and that BMI (Body mass index), physical activity, and psychological distress would mediate this association.Methods: An analysis of cross-sectional data from the 2010-2017 National Health Interview Surveys was performed. Adults aged ≥ 18 years who were born in Africa (African immigrants) and residing in the U.S. were considered. The outcome was self-reported diabetes, and acculturation was defined by percent of life spent in the U.S. and citizenship. Multivariable logistic regression analysis was used to assess the association between acculturation and diabetes, and mediation analysis was used to examine the mediating effects of BMI, physical activity, and psychological distress on this association.Results: The analytic sample included 1648 African immigrants with mean (SD) age of 41.3 ± 0.45 years; 56.4% male. Additionally, 46% had ≥ college education, and 21.4% lived below the poverty threshold. About two-thirds were overweight/obese. Less than 50% exercised at adequate levels of physical activity levels. A small percentage (1.8%) reported psychological distress. The prevalence of self-reported diabetes was 6.1%, and 76.5% reported being acculturated. In the multivariate logistic regression analysis, higher levels of acculturation were associated with higher odds of diabetes diagnosis (Odds Ratio (OR) = 2.2; 95% CI = 1.1-4.4). Although BMI mediated the association between acculturation and diabetes (ZMediation = 2.11, p = 0.036), only 18.9% of the total effect of acculturation on diabetes was explained by BMI.Conclusions: Acculturation increased the odds of diabetes diagnosis, and BMI mediated the association. Thus, tailoring culturally-appropriate interventions to control BMI may contribute to preventing diabetes within African immigrant communities to the U.S.

Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design.

The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults at risk for coronavirus disease 2019 (COVID-19) comprising 14 established United States (US) prospective cohort studies. For decades, C4R cohorts have collected extensive data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R will link this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and broadly reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R is ascertaining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are being harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This unique resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health and aging.