The Association Between Experienced Discrimination and Pain in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

BACKGROUND: The relationship between experienced discrimination and its effects on pain interference and management among racial disparities is not well explored. This research investigated these associations among Black and White U.S. adults. METHODS: The analysis involved 9369 Black and White adults in the REasons for Geographic and Racial Differences in Stroke (REGARDS), assessing experiences of discrimination, pain interference (SF-12), and pain treatment, incorporating factors like demographics, comorbidities, and stress. RESULTS: Black participants experiencing moderate discrimination were found to have a 41% increased likelihood of pain interference (aOR 1.41, 95% CI 1.02-1.95), similaritythose facing high levels of discrimination also showed a 41% increase (aOR 1.41, 95% CI 1.06-1.86) compared to those without such experiences. White individuals reporting moderate discrimination also faced a heightened risk, with a 21% greater chance of pain interference (aOR 1.21, 95% CI 1.01-1.45). Notably, the presence of moderate discrimination among Black participants correlated with a 12% reduced probability of receiving pain treatment (aOR 0.88, 95% CI 0.56-1.37). Furthermore, Black, and White individuals who reported discrimination when seeking employment had a 33% (aOR 0.67, 95% CI 0.45-0.98) and 32% (aOR 0.68, 95% CI 0.48-0.96) lower likelihood, respectively, of receiving treated pain. CONCLUSION: The study elucidates how discrimination exacerbates pain interference and restricts access to treatment, affecting Black and White individuals differently. These findings underscore an urgent need for strategies to counteract discrimination's negative effects on healthcare outcomes. Addressing these disparities is crucial for advancing health equity and improving the overall quality of care.

Racial Segregation and Cognitive Function Among Older Adults in the United States: Findings From the Reasons for Geographic and Racial Differences in Stroke Study.

OBJECTIVES: Residential segregation is one of the fundamental features of health disparities in the United States. Yet little research has examined how living in segregated metropolitan areas is related to cognitive function and cognitive decline with age. We examined the association between segregation at the metropolitan statistical area (MSA) level and trajectories of age-related cognitive function. METHOD: Using data from Black and White older adults in the REasons for Geographic and Racial Differences in Stroke study (n = 18,913), we employed linear growth curve models to examine how living in racially segregated MSAs at baseline, measured by the degree of non-Hispanic Black (NHB) isolation and NHB dissimilarity, was associated with trajectories of age-related cognitive function and how the associations varied by race and education. RESULTS: Living in MSAs with greater levels of isolation was associated with lower cognitive function (b = -0.093, p < .05) but was not associated with rates of change in cognitive decline with age. No effects of living in isolated MSAs were found for those with at least a high school education, but older adults with less than a high school education had lower cognitive function in MSAs with greater isolation (b = -0.274, p < .05). The degree of dissimilarity was not associated with cognitive function. The association between segregation and cognitive function did not vary by race. DISCUSSION: Metropolitan segregation was associated with lower cognitive function among older adults, especially for those with lower education living in racially isolated MSAs. This suggests complex associations between individual socioeconomic status, place, and cognitive health.

Serum mercury concentration and the risk of ischemic stroke: The REasons for Geographic and Racial Differences in Stroke Trace Element Study.

BACKGROUND: Although biologically plausible, epidemiological evidence linking exposure to methylmercury with increased risk of ischemic stroke is limited. The effects of methylmercury may be modified by selenium, which is an anti-oxidant that often co-exists with mercury in fish. OBJECTIVES: To examine the association between serum mercury levels with the incidence of ischemic stroke and to explore the possible effect modifications by serum selenium levels and demographic and geographic factors. METHODS: A case-cohort study was designed nested in the REasons for Geographic and Racial Differences in Stroke cohort, including 662 adjudicated incident cases of ischemic stroke and 2494 participants in a randomly selected sub-cohort. Serum mercury was measured using samples collected at recruitment. Multivariable-adjusted hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) were estimated using the Barlow-weighting method for the Cox proportional hazards regression model. RESULTS: No statistically significant association was observed between serum mercury concentration and the incidence of ischemic stroke (the highest vs. lowest quintile of mercury levels: HR = 0.82; 95% CI = 0.55-1.22; P for linear trend = 0.42). Sex (P for interaction = 0.06), but not serum selenium levels, modified the association; a more evident trend toward lower incidence of ischemic stroke with higher mercury levels was observed among women. CONCLUSION: This study does not support an association between mercury and the incidence of ischemic stroke within a population with low-to-moderate level of exposure. Further studies are needed to explore the possibility of mercury-induced ischemic stroke toxicity in other populations at higher exposure levels.

Smoking and risk of atrial fibrillation in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study.

BACKGROUND: Whether smoking increases the risk of atrial fibrillation (AF) remains debatable due to inconsistent reports. METHODS: We examined the association between smoking and incident AF in 11,047 participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study, one of the largest biracial, population-based cohort studies in the USA. Baseline (2003-2007) cigarette smoking status and amount (pack-years) were self-reported. Incident AF was determined by electrocardiography and history of a prior physician diagnosis at a follow-up examination conducted after a median of 10.6 years. RESULTS: During follow-up, 954 incident AF cases were identified; 9.5% in smokers vs. 7.8% in non-smokers; p<0.001. In a model adjusted for socio-demographics, smoking (ever vs. never) was associated with a 15% increased risk of AF [OR (95%CI): 1.15(1.00, 1.31)], but this association was no longer significant after further adjustment for cardiovascular risk factors [OR (95% CI): 1.12 (0.97, 1.29)]. However, heterogeneities in the association were observed among subgroups; the association was stronger in young vs. old participants [OR (95%CI): 1.31 (1.03, 1.67) vs. 0.99 (0.83-1.18) respectively; interaction p-value=0.005] and in those with vs. without prior cardiovascular disease [OR (95%CI): 1.18 (0.90, 1.56) vs. 1.06 (0.90, 1.25) respectively; interaction p-value 0.0307]. Also, the association was significant in blacks but not in whites [OR (95%CI): 1.51 (1.12, 2.05) vs. 0.99 (0.84, 1.16), respectively], but the interaction p-value did not reach statistical significance (interaction p-value=0.65). CONCLUSIONS: The association between smoking and AF is possibly mediated by a higher prevalence of cardiovascular risk factors in smokers, but there is marked heterogeneity in the strength of this association among subgroups which may explain the conflicting results in prior studies.

The geographic distribution of trace elements in the environment: the REGARDS study.

Research on trace elements and the effects of their ingestion on human health is often seen in scientific literature. However, little research has been done on the distribution of trace elements in the environment and their impact on health. This paper examines what characteristics among participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study are associated with levels of environmental exposure to arsenic, magnesium, mercury, and selenium. Demographic information from REGARDS participants was combined with trace element concentration data from the US Geochemical Survey (USGS). Each trace element was characterized as either low (magnesium and selenium) or high (arsenic and mercury) exposure. Associations between demographic characteristics and trace element concentrations were analyzed with unadjusted and adjusted logistic regression models. Individuals who reside in the Stroke Belt have lower odds of high exposure (4th quartile) to arsenic (OR 0.33, CI 0.31, 0.35) and increased exposure to mercury (OR 0.65, CI 0.62, 0.70) than those living outside of these areas, while the odds of low exposure to trace element concentrations were increased for magnesium (OR 5.48, CI 5.05, 5.95) and selenium (OR 2.37, CI 2.22, 2.54). We found an association between levels of trace elements in the environment and geographic region of residence, among other factors. Future studies are needed to further examine this association and determine whether or not these differences may be related to geographic variation in disease.

Over-the-counter and prescription sleep medication and incident stroke: the REasons for Geographic and Racial Differences in Stroke study.

BACKGROUND: Preliminary evidence suggests sleep medications are associated with risk of vascular events; however, the long-term vascular consequences are understudied. This study investigated the relation between sleep medication use and incident stroke. METHODS: Within the REasons for Geographic And Racial Differences in Stroke study, 21,678 black participants and white participants (≥45 years) with no history of stroke were studied. Participants were recruited from 2003 to 2007. From 2008 to 2010, participants self reported their prescription and over-the-counter sleep medication use over the past month. Suspected stroke events were identified by telephone contact at 6-month intervals and associated medical records were retrieved and physician-adjudicated. Proportional hazards analysis was used to estimate hazard ratios for incident stroke associated with sleep medication use (0, 1-14, and 15+ days per month) controlling for sociodemographics, stroke risk factors, mental health symptoms, and sleep apnea risk. RESULTS: At the sleep assessment, 9.6% of the sample used prescription sleep medication and 11.1% used over-the-counter sleep aids. Over an average follow-up of 3.3 ± 1.0 years, 297 stroke events occurred. Over-the-counter sleep medication use was associated with increased risk of incident stroke in a frequency-response relationship (P = .014), with a 46% increased risk for 1-14 days of use per month (hazards ratio [HR] = 1.46; 95% confidence interval [CI], .99-2.15) and a 65% increased risk for 15+ days (HR = 1.65; 95% CI, .96-2.85). There was no significant association with prescription sleep medications (P = .80). CONCLUSIONS: Over-the-counter sleep medication use may independently increase the risk of stroke beyond other risk factors in middle-aged to older individuals with no history of stroke.

Race, regionality and pre-diabetes in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

OBJECTIVE: To determine the association between race, region and pre-diabetes. METHOD: The study used 2003-2007 United States baseline data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study for this cross-sectional analysis. Participants in this study were 45years or older at recruitment. Logistic regression was used to assess whether race and region are associated with pre-diabetes independent of demographics, socioeconomic factors and risk factors. RESULTS: Twenty-four percent of the study participants (n=19,889) had pre-diabetes. The odds ratio (95% confidence interval) for having pre-diabetes was 1.28 (1.19-1.36) for blacks relative to whites and 1.18 (1.10-1.26) for people living in the Stroke Belt region relative to the other parts of the United States. The odds of having pre-diabetes for Stroke Belt participants changed minimally after additional adjustment for race (OR=1.20; 1.13-1.28), age and sex (OR=1.24; 1.16-1.32), socioeconomic status (OR=1.22; 1.15-1.31) and risk factors (OR=1.26; 1.17-1.35). In the adjusted model, being black was independently associated with pre-diabetes (OR=1.19; 1.10-1.28). CONCLUSION: The prevalence of pre-diabetes was higher for both blacks and whites living in the Stroke Belt relative to living outside the Stroke Belt, and the prevalence of pre-diabetes was higher for blacks independent of region.