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Liuzzo D, Fell N, Heath G, Raghavan P, Levine D. Behavioral Risk Profiles of Stroke Survivors Among US Adults: Geographic Differences Between Stroke Belt and Non-Stroke Belt States. Prev Chronic Dis 2024; 21:E77. [PMID: 39361936 PMCID: PMC11451572 DOI: 10.5888/pcd21.240113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2024] Open
Abstract
Introduction Stroke, a leading cause of illness, death, and long-term disability in the US, presents with significant disparities across the country, most notably in southeastern states comprising the "Stroke Belt." This study intended to identify differences between Stroke Belt states (SBS) and non-Stroke Belt states (NSBS) in terms of prevalence of stroke, sociodemographic and behavioral risk factors, and health-related quality of life (HRQOL). Methods We analyzed data from the 2019 Behavioral Risk Factor Surveillance System to compare demographic characteristics, risk factors, physical activity adherence, functional independence, and HRQOL among stroke survivors in SBS and NSBS. Results Of 18,745 stroke survivors, 4,272 were from SBS and 14,473 were from NSBS. Stroke was more prevalent in SBS (odds ratio [OR] = 1.39; 95% CI, 1.35-1.44; P < .001), with significant differences by age, sex, and race and ethnicity, except for Hispanic ethnicity. Selected stroke risk factors were more common in every category in SBS. Stroke survivors in SBS were less likely to meet physical activity guidelines for aerobic (OR = 0.77; 95% CI, 0.69-0.86; P < .001) and aerobic and strengthening combined (OR = 0.77; 95% CI, 0.70-0.86; P < .001) activities. Stroke survivors in SBS were more likely to not meet either physical activity guideline (OR = 1.31; 95% CI, 1.22-1.41; P < .001). Conclusions Living in SBS significantly increased the odds of stroke occurrence. Stroke survivors from SBS reported lower HRQOL and insufficient physical activity as well as lower functional independence. Specific strategies are needed for residents of SBS, with a focus on policies and primary and secondary prevention practices across healthcare professions.
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Affiliation(s)
- Derek Liuzzo
- Department of Physical Therapy, College of Health, Education, and Professional Studies, University of Tennessee at Chattanooga
| | - Nancy Fell
- Department of Physical Therapy, College of Health, Education, and Professional Studies, University of Tennessee at Chattanooga
| | - Gregory Heath
- Department of Health and Human Performance, College of Health, Education, and Professional Studies, University of Tennessee at Chattanooga
- Department of Internal Medicine, University of Tennessee Health Science Center College of Medicine, Chattanooga
| | - Preeti Raghavan
- Department of Physical Medicine and Neurology, Johns Hopkins Medicine, Baltimore, Maryland
| | - David Levine
- Department of Physical Therapy, College of Health, Education, and Professional Studies, University of Tennessee at Chattanooga
- University of Tennessee at Chattanooga, 615 McCallie Ave, Mapp 203G, Chattanooga, TN 37403
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Jung EJ, Kim DY, Bae HJ, Ko KP. Assessing regional disparities and vulnerability in stroke care across Gyeonggi Province: A focus on hospital service areas. J Stroke Cerebrovasc Dis 2024; 33:107817. [PMID: 38880365 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 06/09/2024] [Accepted: 06/11/2024] [Indexed: 06/18/2024] Open
Abstract
BACKGROUND This study aims to illuminate regional disparities and identify vulnerable areas in stroke care across Gyeonggi Province's hospital service areas. METHODS Using data from the Korea National Cardio-cerebrovascular Disease Management Commission, we included 4,427 acute stroke patients admitted in 2018 to hospitals within Gyeonggi Province. Our evaluation focused on: 1) stroke care quality indicators, including rates of defect-free care, intravenous thrombolysis (IVT), endovascular thrombectomy (EVT), and acute reperfusion therapy (either IVT or EVT); 2) intra-regional treatment rates; and 3) one-year mortality across the province and its 12 hospital service areas. These were compared both with national averages and inter-regionally. Vulnerable areas were pinpointed by evaluating the number of quality indicators falling below the national average and through visual distribution mapping, categorizing each indicator into higher (ranks 1-4), middle (ranks 5-8), and lower (ranks 9-12) tiers. RESULTS Despite fewer qualified stroke centers and specialists, Gyeonggi Province exhibited higher defect-free care rates (84.6 % vs. 80.7 %), intra-regional treatment rates (57.8 % vs. 51.0 %), and marginally lower one-year mortality (16.2 % vs. 17.3 %) compared to national averages. Notable regional disparities were observed; the highest-performing areas for defect-free care and acute reperfusion therapy exceeded the lowest by 1.4 and 3.3 times, respectively. Nine out of twelve areas fell below the national average for EVT rates, seven for IVT and reperfusion therapy rates, and five for intra-regional treatment rates. Pyeongtaek, with all stroke care quality indicators below the national average coupled with the highest one-year mortality, emerges as a critical area needing improvement in acute stroke care. CONCLUSION This study not only exposes the regional disparities in stroke care within Gyeonggi Province's hospital service areas but also identifies areas most vulnerable. Consequently, a customized support strategy for these areas is imperative.
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Affiliation(s)
- En-Joo Jung
- Public Healthcare Center, Seoul National University Hospital, Seoul, Korea
| | - Do Yeon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital; Gyeonggi Regional Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea; Headquarters for Public Health Care, Seoul National University Bundang Hospital, Seongnam, Korea; Department of Neurology, Gyeonggi Provincial Medical Center Icheon Hospital, Icheon
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital; Gyeonggi Regional Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Kwang-Pil Ko
- Gyeonggi Regional Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea; Clinical Preventive Medicine Center, Seoul National University Bundang Hospital, Seongnam, Korea.
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3
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Prust ML, Forman R, Ovbiagele B. Addressing disparities in the global epidemiology of stroke. Nat Rev Neurol 2024; 20:207-221. [PMID: 38228908 DOI: 10.1038/s41582-023-00921-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2023] [Indexed: 01/18/2024]
Abstract
Stroke is the second leading cause of death and the third leading cause of disability worldwide. Though the burden of stroke worldwide seems to have declined in the past three decades, much of this effect reflects decreases in high-income countries (HICs). By contrast, the burden of stroke has grown rapidly in low-income and middle-income countries (LMICs), where epidemiological, socioeconomic and demographic shifts have increased the incidence of stroke and other non-communicable diseases. Furthermore, even in HICs, disparities in stroke epidemiology exist along racial, ethnic, socioeconomic and geographical lines. In this Review, we highlight the under-acknowledged disparities in the burden of stroke. We emphasize the shifting global landscape of stroke risk factors, critical gaps in stroke service delivery, and the need for a more granular analysis of the burden of stroke within and between LMICs and HICs to guide context-appropriate capacity-building. Finally, we review strategies for addressing key inequalities in stroke epidemiology, including improvements in epidemiological surveillance and context-specific research efforts in under-resourced regions, development of the global workforce of stroke care providers, expansion of access to preventive and treatment services through mobile and telehealth platforms, and scaling up of evidence-based strategies and policies that target local, national, regional and global stroke disparities.
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Affiliation(s)
- Morgan L Prust
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
| | - Rachel Forman
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Bruce Ovbiagele
- Department of Neurology, University of California-San Francisco School of Medicine, San Francisco, CA, USA
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4
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Palermo BJ, Wilkinson KS, Plante TB, Nicoli CD, Judd SE, Kamin Mukaz D, Long DL, Olson NC, Cushman M. Interleukin-6, Diabetes, and Metabolic Syndrome in a Biracial Cohort: The Reasons for Geographic and Racial Differences in Stroke Cohort. Diabetes Care 2024; 47:491-500. [PMID: 38237104 PMCID: PMC10909684 DOI: 10.2337/dc23-0914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 12/26/2023] [Indexed: 02/25/2024]
Abstract
OBJECTIVE Black Americans have a greater risk of type 2 diabetes than White Americans. The proinflammatory cytokine interleukin-6 (IL-6) is implicated in diabetes pathogenesis, and IL-6 levels are higher in Black individuals. This study investigated associations of IL-6 with incident diabetes and metabolic syndrome in a biracial cohort. RESEARCH DESIGN AND METHODS The Reasons for Geographic and Racial Differences in Stroke (REGARDS) study enrolled 30,239 Black and White adults age ≥45 years in 2003-2007, with a follow-up ∼9.5 years later. Baseline plasma IL-6 was measured in 3,399 participants at risk of incident diabetes and 1,871 at risk of metabolic syndrome. Relative risk (RR) by IL-6 was estimated with modified Poisson regression for both groups. RESULTS Incident diabetes occurred in 14% and metabolic syndrome in 20%; both rates rose across IL-6 quartiles. There was a three-way interaction of IL-6, race, and central adiposity for incident diabetes (P = 8 × 10-5). In Black participants with and without central adiposity, RRs were 2.02 (95% CI 1.00-4.07) and 1.66 (1.00-2.75) for the fourth compared with first IL-6 quartile, respectively. The corresponding RRs were 1.73 (0.92-3.26) and 2.34 (1.17-4.66) in White participants. The pattern was similar for IL-6 and metabolic syndrome. CONCLUSIONS Although IL-6 was higher in Black than in White participants and those with central adiposity, the association of IL-6 with diabetes risk was statistically significant only among White participants without central adiposity. The association with metabolic syndrome risk was similarly stronger in low-risk groups. The results support the concept of interventions to lower inflammation in diabetes prevention, but to reduce race disparities, better biomarkers are needed.
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Affiliation(s)
| | - Katherine S. Wilkinson
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT
| | - Timothy B. Plante
- Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT
| | - Charles D. Nicoli
- Department of Medicine, Walter Reed National Military Medical Center, Bethesda, MD
| | - Suzanne E. Judd
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Debora Kamin Mukaz
- Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT
| | - D. Leann Long
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Nels C. Olson
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT
| | - Mary Cushman
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT
- Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT
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5
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Zhang Y, Yan Q, Angley M, Lu L, Miller EC, Judd S, Field RW, Kahe K. Smoking Modifies the Association Between Radon Exposure and Incident Ischemic Stroke: The REGARDS Study. Stroke 2023; 54:2737-2744. [PMID: 37846562 PMCID: PMC10615728 DOI: 10.1161/strokeaha.123.043648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 08/23/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Exposure to radon has been linked to lung cancer and other lung diseases. Although biologically plausible, research of residential radon exposure in relation to stroke risk is scarce. METHODS Study participants were from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) cohort (n=30 239), which consisted of male and female non-Hispanic Black and White adults aged 45 and older. After excluding participants with baseline stroke and transient ischemic attack, and missing information on exposure and outcome of interest, the final sample size was 26 950. The primary outcome was time to the first ischemic stroke through September 30, 2020. County-level radon measures from Lawrence Berkeley National Laboratory were linked to each participant based on their geocoded residential history. We used Cox proportional hazards regression models with a time-dependent exposure to estimate hazard ratios and 95% CIs for the association. RESULTS After controlling for potential confounding factors including demographic, lifestyle, clinical variables, and PM2.5, radon exposure was significantly associated with incident ischemic stroke among never-smokers (hazard ratio, 1.39 [95% CI, 1.01-1.90]) but not ever-smokers. The results were generally consistent in the sensitivity analysis when using radon measures from state/Environmental Protection Agency residential radon survey. CONCLUSIONS Findings from this study suggest that the association between residential radon exposure and incidence of ischemic stroke varies by smoking status and may be prominent in never-smokers. Further studies incorporating indoor-radon measures are needed to confirm these findings.
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Affiliation(s)
- Yijia Zhang
- Department of Obstetrics and Gynecology, Vagelos College of Physician and Surgeons, Columbia University Irving Medical Center, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Qi Yan
- Department of Obstetrics and Gynecology, Vagelos College of Physician and Surgeons, Columbia University Irving Medical Center, New York, NY
| | - Meghan Angley
- Department of Obstetrics and Gynecology, Vagelos College of Physician and Surgeons, Columbia University Irving Medical Center, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Liping Lu
- Department of Obstetrics and Gynecology, Vagelos College of Physician and Surgeons, Columbia University Irving Medical Center, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Eliza C Miller
- Department of Neurology, Division of Stroke and Cerebrovascular Disease, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York
| | - Suzanne Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL
| | - R. William Field
- Department of Obstetrics and Gynecology, Vagelos College of Physician and Surgeons, Columbia University Irving Medical Center, New York, NY
- Department of Occupational and Environmental Health and Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
| | - Ka Kahe
- Department of Obstetrics and Gynecology, Vagelos College of Physician and Surgeons, Columbia University Irving Medical Center, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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Bailey MJ, Leonard SH, Price J, Roberts E, Spector L, Zhang M. Breathing new life into death certificates: Extracting handwritten cause of death in the LIFE-M project. EXPLORATIONS IN ECONOMIC HISTORY 2023; 87:101474. [PMID: 36778518 PMCID: PMC9912950 DOI: 10.1016/j.eeh.2022.101474] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The demographic and epidemiological transitions of the past 200 years are well documented at an aggregate level. Understanding differences in individual and group risks for mortality during these transitions requires linkage between demographic data and detailed individual cause of death information. This paper describes the digitization of almost 185,000 causes of death for Ohio to supplement demographic information in the Longitudinal, Intergenerational Family Electronic Micro-database (LIFE-M). To extract causes of death, our methodology combines handwriting recognition, extensive data cleaning algorithms, and the semi-automated classification of causes of death into International Classification of Diseases (ICD) codes. Our procedures are adaptable to other collections of handwritten data, which require both handwriting recognition and semi-automated coding of the information extracted.
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7
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Nicoli CD, Long DL, Plante TB, Howard G, Judd SE, Schulte J, Cushman M. Pro-neurotensin/Neuromedin N and Hypertension Risk: A Prospective Study. Am J Hypertens 2022; 35:281-288. [PMID: 34655288 DOI: 10.1093/ajh/hpab166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 08/09/2021] [Accepted: 10/13/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Neurotensin, a neuropeptide with direct cardiac effects, has been associated with prospective risk of hypertension-related conditions through measurement of its precursor, pro-neurotensin/neuromedin N (pro-NT/NMN). Its association with incident hypertension has not been evaluated. METHODS From 2003 to 2007, the REasons for Geographic And Racial Differences in Stroke (REGARDS) study enrolled 30,239 Black or White adults age ≥45. Pro-NT/NMN was measured in 1,692 participants without baseline hypertension (self-reported antihypertensive use or blood pressure ≥140/90 mm Hg) who underwent follow-up assessment in 2013-2016. A sensitivity analysis was conducted using a lower threshold (≥130/80 mm Hg) to define hypertension. Three robust Poisson regression models were fitted to risk of incident hypertension, adding demographics, cardiometabolic risk factors, and dietary covariates. RESULTS Six hundred and fourteen participants developed hypertension over 9.4 years of follow-up. Pro-NT/NMN ranged from 14 to 1,246 pmol/l, with median [interquartile range] 154 [112, 206] pmol/l. Pro-NT/NMN was not associated with hypertension overall (fully adjusted incidence rate ratio per SD increment log pro-NT/NMN 1.03, 95% confidence interval 0.95-1.11). Results of sensitivity analysis did not differ substantially. CONCLUSIONS Baseline pro-NT/NMN was not associated with incident hypertension. This may be a result of neurotensin's long-term interactions with other molecular regulators of blood pressure, such as the renin-angiotensin-aldosterone system.
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Affiliation(s)
- Charles D Nicoli
- University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - D Leann Long
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Timothy B Plante
- Department of Medicine, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - George Howard
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Suzanne E Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | - Mary Cushman
- Department of Medicine, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
- Department of Pathology and Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
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Lang IM, Antonakos CL, Judd SE, Colabianchi N. A longitudinal examination of objective neighborhood walkability, body mass index, and waist circumference: the REasons for Geographic And Racial Differences in Stroke study. Int J Behav Nutr Phys Act 2022; 19:17. [PMID: 35151322 PMCID: PMC8841052 DOI: 10.1186/s12966-022-01247-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 01/10/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Studies have shown neighborhood walkability is associated with obesity. To advance this research, study designs involving longer follow-up, broader geographic regions, appropriate neighborhood characterization, assessment of exposure length and severity, and consideration of stayers and movers are needed. Using a cohort spanning the conterminous United States, this study examines the longitudinal relationship between a network buffer-derived, duration-weighted neighborhood walkability measure and two adiposity-related outcomes.
Methods
This study included 12,846 Black/African American and White adults in the REasons for Geographic And Racial Differences in Stroke study. Body mass index (BMI) and waist circumference (WC) were assessed at baseline and up to 13.3 years later (M (SD) = 9.4 (1.0) years). BMI and WC were dichotomized. Walk Score® was duration-weighted based on time at each address and categorized as Very Car-Dependent, Car-Dependent, Somewhat Walkable, Very Walkable, and Walker’s Paradise. Unadjusted and adjusted logistic regression models tested each neighborhood walkability-adiposity association. Adjusted models controlled for demographics, health factors, neighborhood socioeconomic status, follow-up time, and either baseline BMI or baseline WC. Adjusted models also tested for interactions. Post-estimation Wald tests examined whether categorical variables had coefficients jointly equal to zero. Orthogonal polynomial contrasts tested for a linear trend in the neighborhood walkability-adiposity relationships.
Results
The odds of being overweight/obese at follow-up were lower for residents with duration-weighted Walk Score® values in the Walker’s Paradise range and residents with values in the Very Walkable range compared to residents with values in the Very Car-Dependent range. Residents with duration-weighted Walk Score® values classified as Very Walkable had significantly lower odds of having a moderate-to-high risk WC at follow-up relative to those in the Very Car-Dependent range. For both outcomes, the effects were small but meaningful. The negative linear trend was significant for BMI but not WC.
Conclusion
People with cumulative neighborhood walkability scores in the Walker’s Paradise range were less likely to be overweight/obese independent of other factors, while people with scores in the Very Walkable range were less likely to be overweight/obese and less likely to have a moderate-to-high risk WC. Addressing neighborhood walkability is one approach to combating obesity.
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Stroke Disparities. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00015-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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10
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Munger JA, Koh I, Howard G, Howard V, Plante TB, Wilkinson K, Cushman M, Zakai NA. Television viewing, physical activity and venous thromboembolism risk: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. J Thromb Haemost 2021; 19:2199-2205. [PMID: 34077616 DOI: 10.1111/jth.15408] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/18/2021] [Accepted: 05/20/2021] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Television (TV) viewing may be associated with increased venous thromboembolism (VTE) risk independent of VTE risk factors including physical activity. This association was assessed in a large biracial US cohort of Black and White adults. METHODS Between 2003 and 2007 The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study recruited 30,239 participants aged ≥45 years, who were surveyed for baseline TV viewing and followed for VTE events. TV viewing was categorized as <2 hours (light), 2 to 4 hours (moderate), and ≥4 hours (heavy) per day. Physical activity was classified as poor, intermediate, or ideal based on reported weekly activity. Hazard ratios of TV viewing and physical activity were calculated adjusting for VTE risk factors. Multiple imputation for missingness was used as a sensitivity analysis. RESULTS Over 96,813 person-years (median: 5.06 years) of follow-up there were 214 VTE events. Heavy TV viewing was not associated with VTE risk in the unadjusted and fully adjusted model (adjusted hazard ratio [aHR]: 0.92 [95% confidence interval (CI): 0.62, 1.36]). Ideal physical activity trended toward a reduced VTE risk (HR: 0.71 [95%CI: 0.51, 1.01]). There was no evidence of an interaction between TV viewing, physical activity, and risk of VTE. CONCLUSIONS In this contemporary racially and geographically diverse US cohort, there was no association between TV viewing and VTE risk, before and after accounting for physical activity. The high burden of traditional VTE risk factors in REGARDS may mask any association of TV viewing with VTE, or TV viewing may have only a modest association with VTE risk.
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Affiliation(s)
- Jordan A Munger
- Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
| | - Insu Koh
- Department of Pathology & Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
| | - George Howard
- Department of Biostatistics, University of Alabama at Birmingham, Burlington, Alabama, USA
| | - Virginia Howard
- Department of Biostatistics, University of Alabama at Birmingham, Burlington, Alabama, USA
| | - Timothy B Plante
- Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
| | - Katherine Wilkinson
- Department of Pathology & Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
| | - Mary Cushman
- Department of Pathology & Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
| | - Neil A Zakai
- Department of Pathology & Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
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11
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An Examination of History for Promoting Diversity in Neuroscience. CURRENT ANESTHESIOLOGY REPORTS 2021; 11:202-213. [PMID: 34393663 PMCID: PMC8349702 DOI: 10.1007/s40140-021-00464-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/09/2021] [Indexed: 12/01/2022]
Abstract
Purpose of Review A review of American history is presented to understand how public policy has contributed to a disproportionate burden of disease in members of underrepresented groups. A review of research conducted in the Stroke Belt provides an opportunity to examine more closely traditional and non-traditional risk factors in an effort to consider strategies for change. Recent Findings A diverse physician workforce has been offered as a way of improving care for our increasingly diverse populace. Given the expected increased prevalence of stroke in communities of color and the impact of stress from discrimination on health, proactive strategies to promote inclusion and equity to support diversity in perioperative neuroscience is warranted. Summary Public policy rooted in structural racism has left marginalized groups economically and educationally disadvantaged with less access to health care. Mistrust and fear from ongoing discrimination compels the neuroscience community to broaden their approach for developing a more reassuring and supportive educational environment for patients and trainees.
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12
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Kamin Mukaz D, Dawson E, Howard VJ, Cushman M, Higginbotham JC, Judd SE, Kissela BM, Safford MM, Soliman EZ, Howard G. Rural/urban differences in the prevalence of stroke risk factors: A cross-sectional analysis from the REGARDS study. J Rural Health 2021; 38:668-673. [PMID: 34270125 DOI: 10.1111/jrh.12608] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
PURPOSE We previously described the magnitude of rural-urban differences in the prevalence of stroke risk factors and stroke mortality. In this report, we sought to extend the understanding of rural-urban differences in the prevalence of stroke risk factors by using an enhanced definition of rural-urban status and assessing the impact of neighborhood socioeconomic status (nSES) on risk factor differences. METHODS This analysis included 28,242 participants without a history of stroke from the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort. Participants were categorized into the 6-level ordinal National Center for Health Statistics Urban-Rural Classification Scheme. The prevalence of stroke risk factors (hypertension, diabetes, smoking, atrial fibrillation, left ventricular hypertrophy, and heart disease) was assessed across the rural-urban scale with adjustment for demographic characteristics and further adjustment for nSES score. FINDINGS Hypertension, diabetes, and heart disease were more prevalent in rural than urban regions. Higher odds were observed for these risk factors in the most rural compared to the most urban areas (odds ratios [95% CI]: 1.25 [1.11-1.42] for hypertension, 1.15 [0.99-1.33] for diabetes, and 1.19 [1.02-1.39] for heart disease). Adjustment for nSES score partially attenuated the odds of hypertension and heart disease with rurality, completely attenuated the odds of diabetes, and unmasked an association of current smoking. CONCLUSIONS Some of the higher stroke mortality in rural areas may be due to the higher burden of stroke risk factors in rural areas. Lower nSES contributed most notably to rural-urban differences for diabetes and smoking.
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Affiliation(s)
- Debora Kamin Mukaz
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
| | - Erica Dawson
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mary Cushman
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA.,Department of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA
| | - John C Higginbotham
- Department of Community Medicine and Population Health, University of Alabama College of Community Health Sciences, Tuscaloosa, Alabama, USA.,Institute for Rural Health Research, University of Alabama, Tuscaloosa, Alabama, USA
| | - Suzanne E Judd
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Brett M Kissela
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Monika M Safford
- Department of Medicine, Weill Medical College of Cornell University, New York, New York, USA
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center, Department of Epidemiology and Prevention, and Department of Internal Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - George Howard
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
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13
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Topping M, Kim J, Fletcher J. Association and pathways of birth in the stroke belt on old age dementia and stroke Mortality. SSM Popul Health 2021; 15:100841. [PMID: 34195346 PMCID: PMC8233219 DOI: 10.1016/j.ssmph.2021.100841] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/25/2021] [Accepted: 06/05/2021] [Indexed: 10/31/2022] Open
Abstract
This paper uses data from the Diet and Health Study (DHS) to examine associations between being born in a "stroke belt" state and old age stroke and mortality outcomes. Adding to prior work that used administrative data, our paper explores educational and health mechanisms that are both stratified by geography and by mortality outcomes. Using logistic regression, we first replicate earlier findings of elevation in risk of dementia mortality (OR 1.13, CI [1.07, 1.20]) and stroke mortality (OR 1.17, CI [1.07, 1.29]) for white individuals born in a stroke belt state. These associations are largely unaffected by controls for educational attainment or by experiences with surviving a stroke and are somewhat attenuated by controls for self-rated health status in old age. The results suggest a need to consider additional life course mechanisms in order to understand the persistent effects of place of birth on old age mortality patterns.
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Affiliation(s)
- Michael Topping
- Department of Sociology, University of Wisconsin-Madison, USA.,Center for Demography of Health and Aging, University of Wisconsin-Madison, USA
| | - Jinho Kim
- Center for Demography of Health and Aging, University of Wisconsin-Madison, USA.,Department of Health Policy and Management, Korea University, Republic of Korea.,Interdisciplinary Program in Precision Public Health, Korea University, Republic of Korea
| | - Jason Fletcher
- Department of Sociology, University of Wisconsin-Madison, USA.,Center for Demography of Health and Aging, University of Wisconsin-Madison, USA.,La Follette School of Public Affairs, University of Wisconsin-Madison, USA
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14
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Nicoli CD, Howard VJ, Judd SE, Struck J, Manly JJ, Cushman M. Pro-Neurotensin/Neuromedin N and Risk of Cognitive Impairment in a Prospective Study. J Alzheimers Dis 2021; 76:1403-1412. [PMID: 32623400 DOI: 10.3233/jad-200456] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND The neuropeptide neurotensin (NT) has been linked to cardiometabolic disease. Cardiovascular risk factors are being recognized as risk factors for cognitive impairment. OBJECTIVE To examine the association of the stable precursor of NT, pro-neurotensin/neuromedin N (pro-NT/NMN), with incident cognitive impairment (ICI). METHODS We conducted a prospective nested case-control study in the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort. In 2003-2007, REGARDS enrolled 30,239 Black and White adults aged ≥45 years. ICI was identified using a 3-test cognitive battery administered biannually. Baseline pro-NT/NMN was measured by immunoassay in 393 cases of ICI and 490 controls after 3.4 years follow up. Multivariable logistic regression was used to calculate odds ratios (OR) of ICI by pro-NT/NMN quartiles. Race, age, and sex differences were studied with stratified models and interaction testing. RESULTS Pro-NT/NMN was higher in Black participants and those with hypertension and diabetes. Women with a 4th versus 1st-quartile pro-NT/NMN had 2.28-fold increased odds of ICI (95% CI 1.08-4.78) after adjusting for risk factors and incident stroke. There was no association of higher pro-NT/NMN quartiles with ICI in the overall group or men. There were no race or age differences in associations. CONCLUSION In this biracial population-based study, elevated systemic pro-NT/NMN was associated with more than doubled risk of ICI in women but not men. Others reported sex-specific associations in women for cardiovascular mortality and diabetes with higher pro-NT/NMN, supporting a role for future research on sex differences in the neurotensinergic system.
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Affiliation(s)
- Charles D Nicoli
- University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Virginia J Howard
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Suzanne E Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Jennifer J Manly
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Mary Cushman
- Departments of Medicine and Pathology and Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA
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15
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Nicoli CD, O'Neal WT, Levitan EB, Singleton MJ, Judd SE, Howard G, Safford MM, Soliman EZ. Atrial fibrillation and risk of incident heart failure with reduced versus preserved ejection fraction. Heart 2021; 108:353-359. [PMID: 34031160 DOI: 10.1136/heartjnl-2021-319122] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/05/2021] [Accepted: 04/16/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Associations between atrial fibrillation (AF) and heart failure (HF) have been established. We compared the extent to which AF is associated with each primary subtype of HF, with reduced (HFrEF) versus preserved ejection fraction (HFpEF). METHODS We included 25 787 participants free of baseline HF from the REGARDS (REasons for Geographic And Racial Differences in Stroke) cohort. Baseline AF was ascertained from ECG and self-reported history of physician diagnosis. Incident HF events were determined from physician-adjudicated review of hospitalisation medical records and HF deaths. Based on left ventricular ejection fraction (LVEF) at the time of HF event, HFrEF, HFpEF, and mid-range HF were defined as LVEF <40%, ≥50% and 40%-49%, respectively. Multivariable Cox proportional-hazards models examined the association between AF and HF. The Lunn-McNeil method was used to compare associations of AF with incident HFrEF versus HFpEF. RESULTS Over a median of 9 years of follow-up, 1109 HF events occurred (356 HFpEF, 388 HFrEF, 77 mid-range and 288 unclassified). In a model adjusted for sociodemographics, cardiovascular risk factors, and incident coronary heart disease, AF was associated with increased risk of all HF events (HR 1.67, 95% CI 1.38 to 2.01). The associations of AF with HFrEF versus HFpEF events did not differ significantly (HR 1.87 (95% CI 1.38 to 2.54) and HR 1.65 (95% CI 1.20 to 2.28), respectively; p value for difference=0.581). These associations were consistent in sex and race subgroups. CONCLUSIONS AF is associated with both HFrEF and HFpEF events, with no significant difference in the strength of association among these subtypes.
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Affiliation(s)
- Charles D Nicoli
- Medicine, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Wesley T O'Neal
- Noninvasive Cardiology, Cone Health Heart and Vascular Center, Greensboro, North Carolina, USA
| | - Emily B Levitan
- Epidemiology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Matthew J Singleton
- Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Suzanne E Judd
- Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - George Howard
- Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Monika M Safford
- General Internal Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology, Division of Public Health, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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16
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Nicoli CD, Plante TB, Long DL, Judd SE, McClure LA, Arora P, Cushman M. N-Terminal Pro-B-Type Natriuretic Peptide and Longitudinal Risk of Hypertension. Am J Hypertens 2021; 34:476-483. [PMID: 33378421 PMCID: PMC8140656 DOI: 10.1093/ajh/hpaa224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 08/21/2020] [Accepted: 12/23/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Hypertension is a common condition that increases risk for future cardiovascular disease. N-terminal B-type natriuretic peptide (NT-proBNP) is higher in individuals with hypertension, but studies of its association with hypertension risk have been mixed. METHODS The REasons for Geographic And Racial Differences in Stroke (REGARDS) study enrolled 30,239 U.S. Black or White adults aged ≥45 years from 2003 to 2007. A subcohort included 4,400 participants who completed a second assessment in 2013-2016. NT-proBNP was measured by immunoassay in 1,323 participants without baseline hypertension, defined as blood pressure ≥140/90 or self-reported antihypertensive prescriptions. Two robust Poisson regression models assessed hypertension risk, yielding incidence rate ratios (IRRs): Model 1 included behavioral and demographic covariates and Model 2 added risk factors. A sensitivity analysis using a less conservative definition of hypertension (blood pressure ≥130/80 or self-reported antihypertensive prescriptions) was conducted. RESULTS Four hundred and sixty-six participants developed hypertension after mean follow-up of 9.4 years. NT-proBNP was not associated with hypertension (Model 2 IRR per SD log NT-proBNP 1.01, 95% confidence interval 0.92-1.12), with no differences by sex, body mass index, age, or race. Similar findings were seen in lower-threshold sensitivity analysis. CONCLUSIONS NT-proBNP was not associated with incident hypertension in REGARDS; this did not differ by race or sex.
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Affiliation(s)
- Charles D Nicoli
- University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - Timothy B Plante
- Department of Medicine, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
| | - D Leann Long
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Suzanne E Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Leslie A McClure
- Department of Epidemiology and Biostatistics, School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Pankaj Arora
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mary Cushman
- Department of Medicine, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
- Department of Pathology and Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, Vermont, USA
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17
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Feigin VL, Vos T, Alahdab F, Amit AML, Bärnighausen TW, Beghi E, Beheshti M, Chavan PP, Criqui MH, Desai R, Dhamminda Dharmaratne S, Dorsey ER, Wilder Eagan A, Elgendy IY, Filip I, Giampaoli S, Giussani G, Hafezi-Nejad N, Hole MK, Ikeda T, Owens Johnson C, Kalani R, Khatab K, Khubchandani J, Kim D, Koroshetz WJ, Krishnamoorthy V, Krishnamurthi RV, Liu X, Lo WD, Logroscino G, Mensah GA, Miller TR, Mohammed S, Mokdad AH, Moradi-Lakeh M, Morrison SD, Shivamurthy VKN, Naghavi M, Nichols E, Norrving B, Odell CM, Pupillo E, Radfar A, Roth GA, Shafieesabet A, Sheikh A, Sheikhbahaei S, Shin JI, Singh JA, Steiner TJ, Stovner LJ, Wallin MT, Weiss J, Wu C, Zunt JR, Adelson JD, Murray CJL. Burden of Neurological Disorders Across the US From 1990-2017: A Global Burden of Disease Study. JAMA Neurol 2021; 78:165-176. [PMID: 33136137 PMCID: PMC7607495 DOI: 10.1001/jamaneurol.2020.4152] [Citation(s) in RCA: 274] [Impact Index Per Article: 91.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Question What is the current burden of neurological disorders in the US by states, and what are the temporal trends (from 1990 to 2017)? Findings Systematic analysis of the Global Burden of Disease study shows that, in 2017, the 3 most burdensome neurological disorders in the US were stroke, Alzheimer disease and other dementias, and migraine. The burden of individual neurological disorders varied moderately to widely by states (a 1.2-fold to 7.5-fold difference), and the absolute numbers of incident, prevalent, and fatal cases and disability-adjusted life-years of neurological disorders (except for traumatic brain injury incidence; spinal cord injury prevalence; meningitis prevalence, deaths, and disability-adjusted life-years; and encephalitis disability-adjusted life-years) across all US states increased from 1990 to 2017. Meaning A large and increasing number of people have various neurological disorders in the US, with significant variation in the burden of and trends in neurological disorders across the US states, and the reasons for these geographic variations need to be explored further. Importance Accurate and up-to-date estimates on incidence, prevalence, mortality, and disability-adjusted life-years (burden) of neurological disorders are the backbone of evidence-based health care planning and resource allocation for these disorders. It appears that no such estimates have been reported at the state level for the US. Objective To present burden estimates of major neurological disorders in the US states by age and sex from 1990 to 2017. Design, Setting, and Participants This is a systematic analysis of the Global Burden of Disease (GBD) 2017 study. Data on incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of major neurological disorders were derived from the GBD 2017 study of the 48 contiguous US states, Alaska, and Hawaii. Fourteen major neurological disorders were analyzed: stroke, Alzheimer disease and other dementias, Parkinson disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, traumatic brain injury, spinal cord injuries, brain and other nervous system cancers, meningitis, encephalitis, and tetanus. Exposures Any of the 14 listed neurological diseases. Main Outcome and Measure Absolute numbers in detail by age and sex and age-standardized rates (with 95% uncertainty intervals) were calculated. Results The 3 most burdensome neurological disorders in the US in terms of absolute number of DALYs were stroke (3.58 [95% uncertainty interval [UI], 3.25-3.92] million DALYs), Alzheimer disease and other dementias (2.55 [95% UI, 2.43-2.68] million DALYs), and migraine (2.40 [95% UI, 1.53-3.44] million DALYs). The burden of almost all neurological disorders (in terms of absolute number of incident, prevalent, and fatal cases, as well as DALYs) increased from 1990 to 2017, largely because of the aging of the population. Exceptions for this trend included traumatic brain injury incidence (−29.1% [95% UI, −32.4% to −25.8%]); spinal cord injury prevalence (−38.5% [95% UI, −43.1% to −34.0%]); meningitis prevalence (−44.8% [95% UI, −47.3% to −42.3%]), deaths (−64.4% [95% UI, −67.7% to −50.3%]), and DALYs (−66.9% [95% UI, −70.1% to −55.9%]); and encephalitis DALYs (−25.8% [95% UI, −30.7% to −5.8%]). The different metrics of age-standardized rates varied between the US states from a 1.2-fold difference for tension-type headache to 7.5-fold for tetanus; southeastern states and Arkansas had a relatively higher burden for stroke, while northern states had a relatively higher burden of multiple sclerosis and eastern states had higher rates of Parkinson disease, idiopathic epilepsy, migraine and tension-type headache, and meningitis, encephalitis, and tetanus. Conclusions and Relevance There is a large and increasing burden of noncommunicable neurological disorders in the US, with up to a 5-fold variation in the burden of and trends in particular neurological disorders across the US states. The information reported in this article can be used by health care professionals and policy makers at the national and state levels to advance their health care planning and resource allocation to prevent and reduce the burden of neurological disorders.
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Affiliation(s)
| | - Valery L Feigin
- Faculty of Health and Environmental Sciences, Auckland University of Technology School of Public Health and Psychosocial Studies, Auckland, New Zealand.,Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Research Center of Neurology, Moscow, Russia
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
| | - Fares Alahdab
- Mayo Evidence-Based Practice Center, Mayo Clinic Foundation for Medical Education and Research, Rochester, Minnesota
| | - Arianna Maever L Amit
- Department of Epidemiology and Biostatistics, University of the Philippines Manila, Manila, Philippines.,Johns Hopkins University School of Public Health, Baltimore, Maryland
| | - Till Winfried Bärnighausen
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.,Harvard University T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ettore Beghi
- Department of Neuroscience, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Mahya Beheshti
- Department of Physical Medicine and Rehabilitation, New York University, New York
| | - Prachi P Chavan
- Department of Epidemiology and Environmental Health, the University of Buffalo, Buffalo, New York
| | - Michael H Criqui
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla
| | - Rupak Desai
- Division of Cardiology, Atlanta Veterans Affairs Medical Center, Decatur, Georgia
| | - Samath Dhamminda Dharmaratne
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle.,Department of Community Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | | | - Arielle Wilder Eagan
- Department of Global Health and Social Medicine, Harvard University, Boston, Massachusetts.,Department of Social Services, Tufts Medical Center, Boston, Massachusetts
| | - Islam Y Elgendy
- Division of Cardiology, Massachusetts General Hospital, Boston.,Division of Cardiology, Harvard University, Boston, Massachusetts
| | - Irina Filip
- Psychiatry Department, Kaiser Permanente, Fontana, California.,A.T. Still University School of Osteopathic Medicine in Arizona, Arizona School of Health Sciences, Mesa, Arizona
| | - Simona Giampaoli
- Department of Cardiovascular Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità (Italian National Institute of Health), Rome, Italy
| | - Giorgia Giussani
- Laboratory of Neurological Disorders, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Nima Hafezi-Nejad
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland.,Tehran University of Medical Sciences School of Medicine, Tehran, Iran
| | - Michael K Hole
- Department of Pediatrics, The University of Texas, Austin, Austin
| | - Takayoshi Ikeda
- Department of Biostatistics and Epidemiology, Auckland University of Technology, Auckland, New Zealand
| | | | - Rizwan Kalani
- Department of Neurology, University of Washington, Seattle
| | - Khaled Khatab
- Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield, United Kingdom.,Ohio University College of Arts and Sciences, Zanesville
| | - Jagdish Khubchandani
- Department of Nutrition and Health Science, Ball State University, Muncie, Indiana
| | - Daniel Kim
- Department of Health Sciences, Northeastern University, Boston, Massachusetts
| | - Walter J Koroshetz
- National Institutes of Neurological Disorders and Stroke, National Institute of Health, Bethesda, Maryland
| | - Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University, Durham, North Carolina.,Department of Anesthesiology, University of Washington, Seattle
| | - Rita V Krishnamurthi
- Faculty of Health and Environmental Sciences, Auckland University of Technology School of Public Health and Psychosocial Studies, Auckland, New Zealand
| | - Xuefeng Liu
- Department of Systems, Populations, and Leadership, University of Michigan, Ann Arbor
| | - Warren David Lo
- Department of Pediatrics, Ohio State University, Columbus.,Department of Pediatric Neurology, Nationwide Children's Hospital, Columbus, Ohio
| | - Giancarlo Logroscino
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy.,Department of Clinical Research in Neurology, Fondazione Cardinale Giovanni Panico Hospital, Tricase, Italy
| | - George A Mensah
- Center for Translation Research and Implementation Science, National Institutes of Health, Bethesda, Maryland.,Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Ted R Miller
- Pacific Institute for Research & Evaluation, Calverton, Maryland.,School of Public Health, Curtin University, Perth, Australia
| | - Salahuddin Mohammed
- Department of Biomolecular Sciences, University of Mississippi, Oxford.,Department of Pharmacy, Mizan-Tepi University, Mizan, Ethiopia
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | | | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
| | - Emma Nichols
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Bo Norrving
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Christopher M Odell
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Elisabetta Pupillo
- Department of Neuroscience, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Amir Radfar
- University of Central Florida College of Medicine, Orlando
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle.,Division of Cardiology, University of Washington, Seattle
| | - Azadeh Shafieesabet
- Department of Cardiology, Charité Medical University Berlin, Berlin, Germany.,Center for Stroke Research Berlin, Berlin, Germany
| | - Aziz Sheikh
- Centre for Medical Informatics, University of Edinburgh, Edinburgh, United Kingdom.,Division of General Internal Medicine, Harvard University, Boston, Massachusetts
| | - Sara Sheikhbahaei
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Jae Il Shin
- Yonsei University College of Medicine, Seoul, South Korea
| | - Jasvinder A Singh
- The University of Alabama at Birmingham School of Medicine, Birmingham.,Medicine Service, US Department of Veterans Affairs, Birmingham, Alabama
| | - Timothy J Steiner
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.,Division of Brain Sciences, Imperial College London, London, United Kingdom
| | - Lars Jacob Stovner
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Neurology and Clinical Neurophysiology, St Olavs Hospital, Trondheim, Norway
| | - Mitchell Taylor Wallin
- Department of Neurology, George Washington University, Washington, DC.,University of Maryland School of Medicine, Baltimore
| | - Jordan Weiss
- Department of Demography, University of California, Berkeley, Berkeley
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, China.,Duke Global Health Institute, Duke University, Durham, North Carolina
| | | | - Jaimie D Adelson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
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Nicoli CD, Wettersten N, Judd SE, Howard G, Howard VJ, Struck J, Cushman M. Pro-neurotensin/neuromedin N and risk of ischemic stroke: The REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Vasc Med 2020; 25:534-540. [PMID: 33089749 DOI: 10.1177/1358863x20957406] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The tridecapeptide neurotensin has been implicated in the pathogenesis of cardiometabolic disease. Its stable precursor, pro-neurotensin/neuromedin N (pro-NT/NMN), has been associated with composite cardiovascular outcomes including coronary heart disease (CHD) and stroke. The exclusive association of pro-NT/NMN with ischemic stroke has not been evaluated. We conducted a prospective case-cohort study in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. From 2003 to 2007, REGARDS enrolled 30,239 white or black adults aged ⩾ 45 years. Baseline fasting pro-NT/NMN was measured by immunoassay in the analytic sample including 448 incident ischemic stroke cases and 818 random cohort sample participants. A total of 464 ischemic strokes occurred. Risk of stroke was assessed with a Cox proportional-hazards model incorporating demographic covariates and a second adding stroke risk factors. Increased pro-NT/NMN was associated with ischemic stroke in the demographic model overall (hazard ratio (HR) per standard deviation (SD) pro-NT/NMN 1.16, 95% confidence interval (CI) 1.01-1.33) and in men (HR per SD pro-NT/NMN 1.25, 95% CI 1.04-1.50); HRs were attenuated in the risk factor model. Pre-existing diabetes mellitus and CHD were the largest confounders of ischemic stroke risk, each accounting for an estimated 19% of the association of pro-NT/NMN with ischemic stroke observed in the demographic model. There were no significant interactions of race or sex with pro-NT/NMN. Further research on associations of pro-NT/NMN with stroke risk factors such as diabetes mellitus is indicated.
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Affiliation(s)
- Charles D Nicoli
- University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Nicholas Wettersten
- Division of Cardiovascular Medicine, University of California, San Diego, CA, USA
| | - Suzanne E Judd
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - George Howard
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Virginia J Howard
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Mary Cushman
- Departments of Medicine and Pathology and Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA
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19
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Plante TB, Koh I, Judd SE, Howard G, Howard VJ, Zakai NA, Booth JN, Safford MM, Muntner P, Cushman M. Life's Simple 7 and Incident Hypertension: The REGARDS Study. J Am Heart Assoc 2020; 9:e016482. [PMID: 32928039 PMCID: PMC7792383 DOI: 10.1161/jaha.120.016482] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background The Life's Simple 7 (LS7) metric incorporates health behaviors (body mass index, diet, smoking, physical activity) and health factors (blood pressure, cholesterol, glucose) to estimate an individual's level of cardiovascular health. The association between cardiovascular health and incident hypertension is unresolved. Hypertension's threshold was recently lowered and it is unclear if better cardiovascular health is associated with lower risk of incident hypertension with the updated threshold or in a multirace cohort. We sought to assess the association between better LS7 score and risk of incident hypertension among Black and White adults using a 130/80 mm Hg hypertension threshold. Methods and Results We determined the association between LS7 metric and incident hypertension in the REGARDS (Reasons for Geographic and Racial Disparities in Stroke) study, including participants free of baseline hypertension (2003-2007) who completed a second visit between 2013 and 2016. Hypertension was defined as systolic/diastolic blood pressure ≥130/80 mm Hg or antihypertensive medication use. Each LS7 component was assigned 0 (poor), 1 (intermediate), or 2 (ideal) points. We generated a 14-point score by summing points. Among 2930 normotensive participants (20% Black, 80% White), the median (25th-75th percentiles) LS7 total score was 9 (8-10) points. Over a median follow-up of 9 years, 42% developed hypertension. In the fully adjusted model, each 1-point higher LS7 score had a 6% lower risk of incident hypertension (risk ratio, 0.94 per 1 point; 95% CI, 0.92-0.96). Conclusions Better cardiovascular health was associated with lower risk of incident hypertension using a 130/80 mm Hg hypertension threshold among Black and White adults.
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Affiliation(s)
- Timothy B Plante
- Department of Medicine Larner College of Medicine at the University of Vermont Burlington VT
| | - Insu Koh
- Department of Pathology and Laboratory Medicine Larner College of Medicine at the University of Vermont Burlington VT
| | - Suzanne E Judd
- Department of Biostatistics University of Alabama at Birmingham AL
| | - George Howard
- Department of Biostatistics University of Alabama at Birmingham AL
| | | | - Neil A Zakai
- Department of Medicine Larner College of Medicine at the University of Vermont Burlington VT.,Department of Pathology and Laboratory Medicine Larner College of Medicine at the University of Vermont Burlington VT
| | - John N Booth
- Department of Epidemiology University of Alabama at Birmingham AL.,CTI Clinical Trials and Consulting Services, Inc. Covington KY
| | - Monika M Safford
- Department of Medicine Weill Medical College of Cornell University New York NY
| | - Paul Muntner
- Department of Epidemiology University of Alabama at Birmingham AL
| | - Mary Cushman
- Department of Medicine Larner College of Medicine at the University of Vermont Burlington VT.,Department of Pathology and Laboratory Medicine Larner College of Medicine at the University of Vermont Burlington VT
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20
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Elfassy T, Grasset L, Glymour MM, Swift S, Zhang L, Howard G, Howard VJ, Flaherty M, Rundek T, Osypuk TL, Zeki Al Hazzouri A. Sociodemographic Disparities in Long-Term Mortality Among Stroke Survivors in the United States. Stroke 2020; 50:805-812. [PMID: 30852967 DOI: 10.1161/strokeaha.118.023782] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background and Purpose- It is unclear whether disparities in mortality among stroke survivors exist long term. Therefore, the purpose of the current study is to describe rates of longer term mortality among stroke survivors (ie, beyond 30 days) and to determine whether socioeconomic disparities exist. Methods- This analysis included 1329 black and white participants, aged ≥45 years, enrolled between 2003 and 2007 in the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) who suffered a first stroke and survived at least 30 days after the event. Long-term mortality among stroke survivors was defined in person-years as time from 30 days after a first stroke to date of death or censoring. Mortality rate ratios (MRRs) were used to compare rates of poststroke mortality by demographic and socioeconomic characteristics. Results- Among adults who survived ≥30 days poststroke, the age-adjusted rate of mortality was 82.3 per 1000 person-years (95% CI, 75.4-89.2). Long-term mortality among stroke survivors was higher in older individuals (MRR for 75+ versus <65, 3.2; 95% CI, 2.6-4.1) and among men than women (MRR, 1.3; 95% CI, 1.1-1.6). It was also higher among those with less educational attainment (MRR for less than high-school versus college graduate, 1.5; 95% CI, 1.1-1.9), lower income (MRR for <$20k versus >50k, 1.4; 95% CI, 1.1-1.9), and lower neighborhood socioeconomic status (SES; MRR for low versus high neighborhood SES, 1.4; 95% CI, 1.1-1.7). There were no differences in age-adjusted rates of long-term poststroke mortality by race, rurality, or US region. Conclusions- Rates of long-term mortality among stroke survivors were higher among individuals with lower SES and among those residing in neighborhoods of lower SES. These results emphasize the need for improvements in long-term care poststroke, especially among individuals of lower SES.
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Affiliation(s)
- Tali Elfassy
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - Leslie Grasset
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - M Maria Glymour
- Department of Epidemiology and Biostatistics, University of California San Francisco (M.M.G.)
| | - Samuel Swift
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - Lanyu Zhang
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - George Howard
- Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health
| | - Virginia J Howard
- Department of Epidemiology (V.J.H.), University of Alabama at Birmingham School of Public Health
| | - Matthew Flaherty
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, OH (M.F.)
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine (T.R.), University of Miami, FL
| | - Theresa L Osypuk
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (T.L.O.)
| | - Adina Zeki Al Hazzouri
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (A.Z.A.H.)
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21
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Kim JY, Kang K, Kang J, Koo J, Kim DH, Kim BJ, Kim WJ, Kim EG, Kim JG, Kim JM, Kim JT, Kim C, Nah HW, Park KY, Park MS, Park JM, Park JH, Park TH, Park HK, Seo WK, Seo JH, Song TJ, Ahn SH, Oh MS, Oh HG, Yu S, Lee KJ, Lee KB, Lee K, Lee SH, Lee SJ, Jang MU, Chung JW, Cho YJ, Choi KH, Choi JC, Hong KS, Hwang YH, Kim SE, Lee JS, Choi J, Kim MS, Kim YJ, Seok J, Jang S, Han S, Han HW, Hong JH, Yun H, Lee J, Bae HJ. Executive Summary of Stroke Statistics in Korea 2018: A Report from the Epidemiology Research Council of the Korean Stroke Society. J Stroke 2018; 21:42-59. [PMID: 30558400 PMCID: PMC6372894 DOI: 10.5853/jos.2018.03125] [Citation(s) in RCA: 145] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 11/29/2018] [Indexed: 12/14/2022] Open
Abstract
Despite the great socioeconomic burden of stroke, there have been few reports of stroke statistics in Korea. In this scenario, the Epidemiologic Research Council of the Korean Stroke Society launched the “Stroke Statistics in Korea” project, aimed at writing a contemporary, comprehensive, and representative report on stroke epidemiology in Korea. This report contains general statistics of stroke, prevalence of behavioral and vascular risk factors, stroke characteristics, pre-hospital system of care, hospital management, quality of stroke care, and outcomes. In this report, we analyzed the most up-to-date and nationally representative databases, rather than performing a systematic review of existing evidence. In summary, one in 40 adults are patients with stroke and 232 subjects per 100,000 experience a stroke event every year. Among the 100 patients with stroke in 2014, 76 had ischemic stroke, 15 had intracerebral hemorrhage, and nine had subarachnoid hemorrhage. Stroke mortality is gradually declining, but it remains as high as 30 deaths per 100,000 individuals, with regional disparities. As for stroke risk factors, the prevalence of smoking is decreasing in men but not in women, and the prevalence of alcohol drinking is increasing in women but not in men. Population-attributable risk factors vary with age. Smoking plays a role in young-aged individuals, hypertension and diabetes in middle-aged individuals, and atrial fibrillation in the elderly. About four out of 10 hospitalized patients with stroke are visiting an emergency room within 3 hours of symptom onset, and only half use an ambulance. Regarding acute management, the proportion of patients with ischemic stroke receiving intravenous thrombolysis and endovascular treatment was 10.7% and 3.6%, respectively. Decompressive surgery was performed in 1.4% of patients with ischemic stroke and in 28.1% of those with intracerebral hemorrhage. The cumulative incidence of bleeding and fracture at 1 year after stroke was 8.9% and 4.7%, respectively. The direct costs of stroke were about ₩1.68 trillion (KRW), of which ₩1.11 trillion were for ischemic stroke and ₩540 billion for hemorrhagic stroke. The great burden of stroke in Korea can be reduced through more concentrated efforts to control major attributable risk factors for age and sex, reorganize emergency medical service systems to give patients with stroke more opportunities for reperfusion therapy, disseminate stroke unit care, and reduce regional disparities. We hope that this report can contribute to achieving these tasks.
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Affiliation(s)
- Jun Yup Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea
| | - Jihoon Kang
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jaseong Koo
- Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Eung-Gyu Kim
- Department of Neurology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea
| | - Jeong-Min Kim
- Department of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Chulho Kim
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Hyun-Wook Nah
- Department of Neurology, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Moo-Seok Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Jong-Moo Park
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea
| | - Jong-Ho Park
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Woo-Keun Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jung Hwa Seo
- Department of Neurology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Tae-Jin Song
- Department of Neurology, Ewha Womans University School of Medicine, Seoul, Korea
| | - Seong Hwan Ahn
- Department of Neurology, Chosun University Hospital, Chosun University College of Medicine, Gwangju, Korea
| | - Mi-Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - Hyung Geun Oh
- Department of Neurology, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Sungwook Yu
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Kijeong Lee
- Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University, Daejeon, Korea
| | - Min Uk Jang
- Department of Neurology, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Jong-Won Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Yang-Ha Hwang
- Department of Neurology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Seong-Eun Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea
| | - Jimi Choi
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Min Sun Kim
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Ye Jin Kim
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Jinmi Seok
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Sujung Jang
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Seokwan Han
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hee Won Han
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Jin Hyuk Hong
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hyori Yun
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
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22
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Xavier Moore J, Donnelly JP, Griffin R, Safford MM, Howard G, Baddley J, Wang HE. Community characteristics and regional variations in sepsis. Int J Epidemiol 2018; 46:1607-1617. [PMID: 29121335 DOI: 10.1093/ije/dyx099] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2017] [Indexed: 11/14/2022] Open
Abstract
Background Sepsis may contribute to more than 200 000 annual deaths in the USA. Little is known about the regional patterns of sepsis mortality and the community characteristics that explain this relationship. We aimed to determine the influence of community characteristics upon regional variations in sepsis incidence and case fatality. Methods We performed a retrospective analysis of data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. Using US sepsis mortality data, we used two strategies for defining geographic regions: (i) Sepsis 'Belt' vs Non-Belt and (ii) Sepsis 'Cluster' vs Non-Cluster. We determined sepsis incidence and case fatality among REGARDS participants in each region, adjusting for participant characteristics. We examined the mediating effect of community characteristics upon regional variations in sepsis incidence and case fatality. Results Among 29 680 participants, 16 493 (55.6%) resided in the Sepsis Belt and 2958 (10.0%) resided in a Sepsis Cluster. Sepsis incidence was higher for Sepsis Belt than Non-Belt participants [adjusted hazard ratio (HR) = 1.14; 95% confidence interval (CI) = 1.02-1.24] and higher for Sepsis Cluster than Non-Cluster participants (adjusted HR = 1.18; 95% CI = 1.01-1.39). Sepsis case fatality was similar between Sepsis Belt and Non-Belt participants, as well as between Cluster and Non-Cluster participants. Community poverty mediated the regional differences in sepsis incidence. Conclusions Regional variations in sepsis incidence may be partly explained by community poverty. Other community characteristics do not explain regional variations in sepsis incidence or case fatality.
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Affiliation(s)
- Justin Xavier Moore
- Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, AL, USA.,Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.,Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John P Donnelly
- Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, AL, USA.,Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Russell Griffin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Monika M Safford
- Department of Medicine, University of Alabama School of Medicine, Birmingham, AL, USA.,Division of General Internal Medicine, Weill Cornell Medical College, New York, NY, USA
| | - George Howard
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John Baddley
- Department of Medicine, University of Alabama School of Medicine, Birmingham, AL, USA
| | - Henry E Wang
- Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, AL, USA.,Department of Emergency Medicine, University of Texas Health Science Center at Houston, Houston, USA
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23
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Roth DL, Brown SL, Rhodes JD, Haley WE. Reduced mortality rates among caregivers: Does family caregiving provide a stress-buffering effect? Psychol Aging 2018; 33:619-629. [PMID: 29723004 PMCID: PMC6002922 DOI: 10.1037/pag0000224] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Multiple studies have confirmed a seemingly paradoxical finding that family caregivers have lower mortality rates than comparable samples of noncaregivers. Caregivers are often also found to report more symptoms of depression and higher stress levels, but psychological distress and mortality are rarely examined in the same study. This study tests a possible mechanism for the mortality effect by applying a theoretical model that posits psychological and physiological stress-buffering benefits from prosocial helping behaviors. Participants in the population-based REasons for Geographic and Racial Differences in Stroke (REGARDS) study included 3,580 family caregivers who were individually matched to 3,580 noncaregivers on 15 demographic, health history, and health behavior variables using a propensity score matching algorithm. Baseline measures of depressive symptoms and perceived stress levels were also collected. The results indicated that caregivers reported significantly more depressive symptoms and higher perceived stress levels than propensity-matched noncaregivers (ps < .0001). However, consistent with our previous analysis (Roth et al., 2013), an analysis of 7-year survival rates showed that caregivers had a 16.5% lower mortality rate than noncaregivers (hazard ratio = 0.835, 95% CI = 0.719, 0.970). Significant caregiving*psychological distress interaction effects supported the stress-buffering hypothesis. Both depressive symptoms and perceived stress scores were significant predictors of mortality for the matched noncaregivers (ps < .0001), but not for the caregivers (ps > .49). Family caregiving appears to be similar to other prosocial helping behaviors in that it provides stress-buffering adaptations that ameliorate the impact of stress on major health outcomes such as mortality. (PsycINFO Database Record
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Affiliation(s)
- David L Roth
- Center on Aging and Health, Division of Geriatric Medicine and Gerontology, Johns Hopkins University
| | | | - J David Rhodes
- Department of Biostatistics, University of Alabama at Birmingham
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24
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Tsinovoi CL, Xun P, McClure LA, Carioni VMO, Brockman JD, Cai J, Guallar E, Cushman M, Unverzagt FW, Howard VJ, He K. Arsenic Exposure in Relation to Ischemic Stroke: The Reasons for Geographic and Racial Differences in Stroke Study. Stroke 2018; 49:19-26. [PMID: 29212736 PMCID: PMC5742041 DOI: 10.1161/strokeaha.117.018891] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 11/11/2017] [Accepted: 11/14/2017] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE The purpose of this case-cohort study was to examine urinary arsenic levels in relation to incident ischemic stroke in the United States. METHODS We performed a case-cohort study nested within the REGARDS (REasons for Geographic and Racial Differences in Stroke) cohort. A subcohort (n=2486) of controls was randomly sampled within region-race-sex strata while all incident ischemic stroke cases from the full REGARDS cohort (n=671) were included. Baseline urinary arsenic was measured by inductively coupled plasma-mass spectrometry. Arsenic species, including urinary inorganic arsenic and its metabolites monomethylarsonic acid and dimethylarsinic acid, were measured in a random subset (n=199). Weighted Cox's proportional hazards models were used to calculate hazard ratios and 95% confidence intervals of ischemic stroke by arsenic and its species. RESULTS The average follow-up was 6.7 years. Although incident ischemic stroke showed no association with total arsenic or total inorganic arsenic, for each unit higher level of urinary monomethylarsonic acid on a log-scale, after adjustment for potential confounders, ischemic stroke risk increased ≈2-fold (hazard ratio=1.98; 95% confidence interval: 1.12-3.50). Effect modification by age, race, sex, or geographic region was not evident. CONCLUSIONS A metabolite of arsenic was positively associated with incident ischemic stroke in this case-cohort study of the US general population, a low-to-moderate exposure area. Overall, these findings suggest a potential role for arsenic methylation in the pathogenesis of stroke, having important implications for future cerebrovascular research.
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Affiliation(s)
- Cari L Tsinovoi
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Pengcheng Xun
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Leslie A McClure
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Vivian M O Carioni
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - John D Brockman
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Jianwen Cai
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Eliseo Guallar
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Mary Cushman
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Frederick W Unverzagt
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Virginia J Howard
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.)
| | - Ka He
- From the Departments of Epidemiology and Biostatistics (C.L.T., P.X., K.H.) and Psychiatry (F.W.U.), Indiana University, Bloomington; Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.); University of Missouri Research Reactor Center, University of Missouri, Columbia (V.M.O.C., J.D.B.); Department of Biostatistics, University of North Carolina at Chapel Hill (J.C.); Department of Epidemiology, Johns Hopkins University, Baltimore, MD (E.G.); Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington (M.C.); and Department of Epidemiology, University of Alabama at Birmingham (V.J.H.).
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25
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Blackburn J, Albright KC, Haley WE, Howard VJ, Roth DL, Safford MM, Kilgore ML. Men Lacking a Caregiver Have Greater Risk of Long-Term Nursing Home Placement After Stroke. J Am Geriatr Soc 2017; 66:133-139. [PMID: 29071708 DOI: 10.1111/jgs.15166] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND/OBJECTIVES Social support can prevent or delay long-term nursing home placement (NHP). The purpose of our study was to understand how the availability of a caregiver can affect NHP after ischemic stroke and how this affects different subgroups differently. DESIGN Nested cohort study. SETTING Nationally based REasons for Geographic and Racial Differences in Stroke (REGARDS) study. PARTICIPANTS Stroke survivors aged 65 to 100 (256 men, 304 women). MEASUREMENTS Data were from Medicare claims from January 2003 to December 2013 and REGARDS baseline interviews conducted from January 2003 to October 2007. Caregiver support was measured by asking, "If you had a serious illness or became disabled, do you have someone who would be able to provide care for you on an on-going basis?" Diagnosis of ischemic stroke was derived from inpatient claims. NHP was determined using a validated claims algorithm for stays of 100 days and longer. Risk was estimated using Cox regression. RESULTS Within 5 years of stroke, 119 (21.3%) participants had been placed in a nursing home. Risk of NHP was greater in those lacking available caregivers (log-rank P = .006). After adjustment for covariates, lacking an available caregiver increased the risk of NHP after stroke within 1 year by 70% (hazard ratio (HR) = 1.70, 95% confidence interval (CI) = 0.97-2.99) and within 5 years by 68% (HR = 1.68, 95% CI = 1.10-2.58). The effect of caregiver availability on NHP within 5 years was limited to men (HR = 3.15, 95% CI = 1.49-6.67). CONCLUSION In men aged 65 and older who have survived an ischemic stroke, the lack of an available caregiver is associated with triple the risk of NHP within 5 years.
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Affiliation(s)
- Justin Blackburn
- Department of Health Care Organization and Policy, University of Alabama at Birmingham, Birmingham, Alabama
| | - Karen C Albright
- Geriatric Research, Education and Clinical Center, Birmingham Veterans Affairs Medical Center, Birmingham, Alabama
| | - William E Haley
- School of Aging Studies, University of South Florida, Tampa, Florida
| | - Virginia J Howard
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - David L Roth
- Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland
| | - Monika M Safford
- Division of General Internal Medicine, Weill Cornell Medical College, New York, New York
| | - Meredith L Kilgore
- Department of Health Care Organization and Policy, University of Alabama at Birmingham, Birmingham, Alabama
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Diaz KM, Howard VJ, Hutto B, Colabianchi N, Vena JE, Safford MM, Blair SN, Hooker SP. Patterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults: A National Cohort Study. Ann Intern Med 2017; 167:465-475. [PMID: 28892811 PMCID: PMC5961729 DOI: 10.7326/m17-0212] [Citation(s) in RCA: 336] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Excessive sedentary time is ubiquitous in Western societies. Previous studies have relied on self-reporting to evaluate the total volume of sedentary time as a prognostic risk factor for mortality and have not examined whether the manner in which sedentary time is accrued (in short or long bouts) carries prognostic relevance. OBJECTIVE To examine the association between objectively measured sedentary behavior (its total volume and accrual in prolonged, uninterrupted bouts) and all-cause mortality. DESIGN Prospective cohort study. SETTING Contiguous United States. PARTICIPANTS 7985 black and white adults aged 45 years or older. MEASUREMENTS Sedentary time was measured using a hip-mounted accelerometer. Prolonged, uninterrupted sedentariness was expressed as mean sedentary bout length. Hazard ratios (HRs) were calculated comparing quartiles 2 through 4 to quartile 1 for each exposure (quartile cut points: 689.7, 746.5, and 799.4 min/d for total sedentary time; 7.7, 9.6, and 12.4 min/bout for sedentary bout duration) in models that included moderate to vigorous physical activity. RESULTS Over a median follow-up of 4.0 years, 340 participants died. In multivariable-adjusted models, greater total sedentary time (HR, 1.22 [95% CI, 0.74 to 2.02]; HR, 1.61 [CI, 0.99 to 2.63]; and HR, 2.63 [CI, 1.60 to 4.30]; P for trend < 0.001) and longer sedentary bout duration (HR, 1.03 [CI, 0.67 to 1.60]; HR, 1.22 [CI, 0.80 to 1.85]; and HR, 1.96 [CI, 1.31 to 2.93]; P for trend < 0.001) were both associated with a higher risk for all-cause mortality. Evaluation of their joint association showed that participants classified as high for both sedentary characteristics (high sedentary time [≥12.5 h/d] and high bout duration [≥10 min/bout]) had the greatest risk for death. LIMITATION Participants may not be representative of the general U.S. population. CONCLUSION Both the total volume of sedentary time and its accrual in prolonged, uninterrupted bouts are associated with all-cause mortality, suggesting that physical activity guidelines should target reducing and interrupting sedentary time to reduce risk for death. PRIMARY FUNDING SOURCE National Institutes of Health.
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Affiliation(s)
- Keith M. Diaz
- Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Medical Center, New York, NY
| | - Virginia J. Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Brent Hutto
- Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | | | - John E. Vena
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC
| | | | - Steven N. Blair
- Departments of Exercise Science and Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Steven P. Hooker
- Exercise Science and Health Promotion Program, College of Health Solutions, Arizona State University, Phoenix, AZ
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MacDonald LA, Fujishiro K, Howard VJ, Landsbergis P, Hein MJ. Participation in a US community-based cardiovascular health study: investigating nonrandom selection effects related to employment, perceived stress, work-related stress, and family caregiving. Ann Epidemiol 2017; 27:545-552.e2. [PMID: 28890281 PMCID: PMC5632192 DOI: 10.1016/j.annepidem.2017.08.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 07/20/2017] [Accepted: 08/03/2017] [Indexed: 10/19/2022]
Abstract
PURPOSE Participation in health studies may be inversely associated with employment and stress. We investigated whether employment, perceived stress, work-related stress, and family caregiving were related to participation in a longitudinal US community-based health study of black and white men and women aged ≥45 years. METHODS Prevalence ratios and confidence intervals were estimated for completion of the second stage (S2) of a two-stage enrollment process by employment (status, type), and stress (perceived stress, work-related stress, caregiving), adjusting for age, sex, race, region, income, and education. Eligibility and consent for a follow-up occupational survey were similarly evaluated. RESULTS Wage- but not self-employed participants were less likely than the unemployed to complete S2. Among the employed, S2 completion did not vary by stress; however, family caregivers with a short time burden of care (<2 hour/d) were more likely to complete S2, compared to noncaregivers. Eligibility and participation in the follow-up occupational survey were higher among those employed (vs. unemployed) at enrollment but were not associated with enrollment stress levels. CONCLUSIONS Limited evidence of selection bias was seen by employment and stress within a large US community-based cohort, but findings suggest the need for enrollment procedures to consider possible barriers to participation among wage-employed individuals.
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Affiliation(s)
- Leslie A MacDonald
- National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluations and Field Studies, Cincinnati, OH.
| | - Kaori Fujishiro
- National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluations and Field Studies, Cincinnati, OH
| | - Virginia J Howard
- University of Alabama at Birmingham, School of Public Health, Department of Epidemiology, Birmingham, AL
| | - Paul Landsbergis
- State University of New York-Downstate, School of Public Health, New York
| | - Misty J Hein
- National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluations and Field Studies, Cincinnati, OH
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Moore JX, Akinyemiju T, Wang HE. Pollution and regional variations of lung cancer mortality in the United States. Cancer Epidemiol 2017; 49:118-127. [PMID: 28601785 DOI: 10.1016/j.canep.2017.05.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Revised: 04/25/2017] [Accepted: 05/29/2017] [Indexed: 01/10/2023]
Abstract
INTRODUCTION The aims of this study were to identify counties in the United States (US) with high rates of lung cancer mortality, and to characterize the associated community-level factors while focusing on particulate-matter pollution. METHODS We performed a descriptive analysis of lung cancer deaths in the US from 2004 through 2014. We categorized counties as "clustered" or "non-clustered" - based on whether or not they had high lung cancer mortality rates - using novel geospatial autocorrelation methods. We contrasted community characteristics between cluster categories. We performed logistic regression for the association between cluster category and particulate-matter pollution. RESULTS Among 362 counties (11.6%) categorized as clustered, the age-adjusted lung cancer mortality rate was 99.70 deaths per 100,000 persons (95%CI: 99.1-100.3). Compared with non-clustered counties, clustered counties were more likely in the south (72.9% versus 42.1%, P<0.01) and in non-urban communities (73.2% versus 57.4, P<0.01). Clustered counties had greater particulate-matter pollution, lower education and income, higher rates of obesity and physical inactivity, less access to healthcare, and greater unemployment rates (P<0.01). Higher levels of particulate-matter pollution (4th quartile versus 1st quartile) were associated with two-fold greater odds of being a clustered county (adjusted OR: 2.10; 95%CI: 1.23-3.59). CONCLUSION We observed a belt of counties with high lung mortality ranging from eastern Oklahoma through central Appalachia; these counties were characterized by higher pollution, a more rural population, lower socioeconomic status and poorer access to healthcare. To mitigate the burden of lung cancer mortality in the US, both urban and rural areas should consider minimizing air pollution.
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Affiliation(s)
- Justin Xavier Moore
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham AL, USA; Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Tomi Akinyemiju
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham AL, USA; Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Henry E Wang
- Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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Walton C, Timms J. Providing Worksite Health Promotion through University-Community Partnerships: The South Carolina Dot Project. ACTA ACUST UNITED AC 2017. [DOI: 10.1177/216507999904701001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Abstract
OBJECTIVES In the United States, sepsis is a major public health problem accounting for over 200,000 annual deaths. The aims of this study were to identify U.S. counties with high sepsis mortality and to assess the community characteristics associated with increased sepsis mortality. DESIGN We performed a descriptive analysis of 2003 through 2012 Compressed Mortality File data. We defined sepsis deaths as deaths associated with an infection, classified according to the International Classification of Diseases, 10th Version. SETTING Three thousand one hundred and eight counties in the contiguous U.S. counties, excluding Hawaii and Alaska. MEASUREMENTS AND MAIN RESULTS Using geospatial autocorrelation methods, we defined county-level sepsis mortality as strongly clustered, moderately clustered, and nonclustered. We approximated the mean crude, age-adjusted, and community-adjusted sepsis mortality rates nationally and for clustering groups. We contrasted demographic and community characteristics between clustering groups. We performed logistic regression for the association between strongly clustered counties and community characteristics. Among 3,108 U.S. counties, the age-adjusted sepsis mortality rate was 59.6 deaths per 100,000 persons (95% CI, 58.9-60.4). Sepsis mortality was higher in the Southern U.S. and clustered in three major regions: Mississippi Valley, Middle Georgia, and Central Appalachia. Among 161 (5.2%) strongly clustered counties, age-adjusted sepsis mortality was 93.1 deaths per 100,000 persons (95% CI, 90.5-95.7). Strongly clustered sepsis counties were more likely to be located in the south (92.6%; p < 0.001), exhibit lower education, higher impoverished population, without medical insurance, higher medically uninsured rates, and had higher unemployment rates (p < 0.001). CONCLUSIONS Sepsis mortality is higher in the Southern United States, with three regional clusters: "Mississippi Valley," "Middle Georgia," and "Central Appalachia": Regions of high sepsis mortality are characterized by lower education, income, employment, and insurance coverage.
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O’Neal WT, Soliman EZ, Efird JT, Judd SE, Howard VJ, Howard G, McClure LA. Fine particulate air pollution and premature atrial contractions: The REasons for Geographic And Racial Differences in Stroke study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2017; 27:271-275. [PMID: 27649843 PMCID: PMC5457811 DOI: 10.1038/jes.2016.46] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2016] [Accepted: 05/26/2016] [Indexed: 05/03/2023]
Abstract
Several reports have suggested that particulate matter (PM) exposure increases the risk for atrial arrhythmias. However, data from large-scale epidemiologic studies supporting this hypothesis are lacking. We examined the association of PM <2.5 μm in diameter (PM2.5) concentration with premature atrial contractions (PACs) in 26,609 (mean age=65±9.4 years; 55% female; 41% black) participants from the REGARDS (REasons for Geographic And Racial Differences in Stroke) study. Estimates of short- (2 weeks) and long-term (1 year) PM2.5 exposure were computed before each participant's baseline visit using geographic information system data on the individual level at the coordinates of study participants' residences. PACs were identified from baseline electrocardiograms. A total of 2140 (8.2%) participants had evidence of PACs on the baseline electrocardiogram. Short-term PM2.5 (per 10 μg/m3) exposure was not associated with PACs (OR=1.09, 95% CI=0.98, 1.23). Increases in long-term PM2.5 (per 10 μg/m3) were associated with PACs (OR=1.40, 95% CI=1.10, 1.78). Interactions were not detected for short- and long-term PM2.5 exposure by age, sex, or race. Long- but not short-term PM2.5 exposure is associated with PACs. This suggests a role for long-term PM2.5 exposure in initiating supraventricular arrhythmias that are triggered by PACs.
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Affiliation(s)
- Wesley T. O’Neal
- Department of Medicine, Division of Cardiology, Emory University
School of Medicine, Atlanta, GA
| | - Elsayed Z. Soliman
- Department of Medicine, Section on Cardiology, Wake Forest School of
Medicine, Winston-Salem, NC
- Epidemiological Cardiology Research Center (EPICARE), Department of
Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jimmy T. Efird
- Department of Cardiovascular Sciences, East Carolina Heart
Institute, Brody School of Medicine, East Carolina University, Greenville, NC
| | - Suzanne E. Judd
- Department of Biostatistics, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - Virginia J. Howard
- Department of Epidemiology, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - George Howard
- Department of Biostatistics, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - Leslie A. McClure
- Department of Epidemiology and Biostatistics, Dornsife School of
Public Health, Drexel University, Philadelphia, PA
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O'Neal WT, Soliman EZ, Efird JT, Howard VJ, Howard G, McClure LA. Fine particulate air pollution and premature ventricular contractions: The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study. ENVIRONMENTAL RESEARCH 2017; 154:115-119. [PMID: 28061370 PMCID: PMC5354125 DOI: 10.1016/j.envres.2016.12.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 12/26/2016] [Accepted: 12/27/2016] [Indexed: 06/01/2023]
Abstract
BACKGROUND It is unknown if higher levels of ambient particulate matter (PM) exposure increase the risk for premature ventricular contractions (PVC) in a population-based study of men and women, and if this relationship varies by race or sex. METHODS We examined the association of PM <2.5µm in diameter (PM2.5) concentration with PVCs in 26,121 (mean age=64±9.3 years; 55% female; 41% black) participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Estimates of short- (2-week) and long-term (1-year) PM2.5 exposures were computed prior to the baseline visit using geographic information system data on the individual level at the coordinates of study participants' residences. PVCs were identified from baseline electrocardiograms. RESULTS PVCs were detected in 1719 (6.6%) study participants. Short- (OR=1.08, 95%CI=1.03, 1.14) and long- (OR=1.06, 95%CI=1.01, 1.12) term PM2.5 exposures were associated with PVCs. Interactions were not detected by race or sex. An interaction between short-term PM2.5 exposure and PVCs was detected for those with cardiovascular disease (OR=1.16, 95%CI=1.06, 1.27) compared with those without cardiovascular disease (OR=1.05, 95%CI=0.99, 1.12; p-interaction=0.027). CONCLUSION Our findings suggest that PM2.5 exposure is associated with an increased risk for PVCs in a biracial population-based study of men and women. We also have identified persons with cardiovascular disease as an at-risk population for PVCs when increases in short-term PM2.5 concentration occur.
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Affiliation(s)
- Wesley T O'Neal
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
| | - Elsayed Z Soliman
- Department of Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, USA; Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jimmy T Efird
- Department of Cardiovascular Sciences, East Carolina Heart Institute, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - George Howard
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Leslie A McClure
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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Diaz KM, Howard VJ, Hutto B, Colabianchi N, Vena JE, Blair SN, Hooker SP. Patterns of Sedentary Behavior in US Middle-Age and Older Adults: The REGARDS Study. Med Sci Sports Exerc 2017; 48:430-8. [PMID: 26460633 DOI: 10.1249/mss.0000000000000792] [Citation(s) in RCA: 126] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
PURPOSE The purposes of this study were to examine patterns of objectively measured sedentary behavior in a national cohort of US middle-age and older adults and to determine factors that influence prolonged sedentary behavior. METHODS We studied 8096 participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study, a population-based study of black and white adults 45 yr or older. Seven-day accelerometry was conducted. Prolonged sedentary behavior was defined as accumulating 50% or more of total sedentary time in bouts of 30 min or greater. RESULTS The number of sedentary bouts greater than or equal to 20, 30, 60, and 90 min were 8.8 ± 2.3, 5.5 ± 1.9, 1.9 ± 1.1, and 0.8 ± 0.7 bouts per day, respectively. Sedentary bouts greater than or equal to 20, 30, 60, and 90 min accounted for 60.0% ± 13.9%, 48.0% ± 15.5%, 26.0% ± 15.4%, and 14.2% ± 12.9% of total sedentary time, respectively. Several factors were associated with prolonged sedentary behavior in multivariate-adjusted models (odds ratio [95% confidence interval]): older age (65-74 yr: 1.99 [1.55-2.57]; 75 yr or older: 4.68 [3.61-6.07] vs 45-54 yr), male sex (1.41 [1.28-1.56] vs female), residence in nonstroke belt/buckle region of the United States (stroke belt: 0.87 [0.77-0.98]; stroke buckle: 0.86 [0.77-0.95] vs non-belt/buckle), body mass index (BMI) (overweight: 1.33 [1.18-1.51]; obese: 2.15 [1.89-2.44] vs normal weight), winter (1.18 [1.03-1.35] vs summer), and low amounts of moderate-to-vigorous physical activity (MVPA) [0 min·wk: 2.00 [1.66-2.40] vs ≥150 min·wk). CONCLUSIONS In this sample of US middle-age and older adults, a large proportion of total sedentary time was accumulated in prolonged, uninterrupted bouts of sedentary behavior as almost one-half was accumulated in sedentary bouts greater than or equal to 30 min. Several sociodemographic (age, sex, and BMI), behavioral (MVPA), environmental (region), and seasonal factors are associated with patterns of prolonged sedentary behavior.
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Affiliation(s)
- Keith M Diaz
- 1Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Medical Center, New York, NY; 2Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL; 3Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC; 4Institute for Social Research and School of Kinesiology, University of Michigan, Ann Arbor, MI; 5Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC; 6Departments of Exercise Science and Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC; and 7School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ
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Loop MS, Howard G, de Los Campos G, Al-Hamdan MZ, Safford MM, Levitan EB, McClure LA. Heat Maps of Hypertension, Diabetes Mellitus, and Smoking in the Continental United States. Circ Cardiovasc Qual Outcomes 2017; 10:e003350. [PMID: 28073852 PMCID: PMC5234692 DOI: 10.1161/circoutcomes.116.003350] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 11/11/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Geographic variations in cardiovascular mortality are substantial, but descriptions of geographic variations in major cardiovascular risk factors have relied on data aggregated to counties. Herein, we provide the first description of geographic variation in the prevalence of hypertension, diabetes mellitus, and smoking within and across US counties. METHODS AND RESULTS We conducted a cross-sectional analysis of baseline risk factor measurements and latitude/longitude of participant residence collected from 2003 to 2007 in the REGARDS study (Reasons for Geographic and Racial Differences in Stroke). Of the 30 239 participants, all risk factor measurements and location data were available for 28 887 (96%). The mean (±SD) age of these participants was 64.8(±9.4) years; 41% were black; 55% were female; 59% were hypertensive; 22% were diabetic; and 15% were current smokers. In logistic regression models stratified by race, the median(range) predicted prevalence of the risk factors were as follows: for hypertension, 49% (45%-58%) among whites and 72% (68%-78%) among blacks; for diabetes mellitus, 14% (10%-20%) among whites and 31% (28%-41%) among blacks; and for current smoking, 12% (7%-16%) among whites and 18% (11%-22%) among blacks. Hypertension was most prevalent in the central Southeast among whites, but in the west Southeast among blacks. Diabetes mellitus was most prevalent in the west and central Southeast among whites but in south Florida among blacks. Current smoking was most prevalent in the west Southeast and Midwest among whites and in the north among blacks. CONCLUSIONS Geographic disparities in prevalent hypertension, diabetes mellitus, and smoking exist within states and within counties in the continental United States, and the patterns differ by race.
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Affiliation(s)
- Matthew Shane Loop
- From the Department of Epidemiology (M.S.L., E.B.L.) and Department of Biostatistics (G.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology & Biostatistics and Department of Statistics & Probability, Michigan State University, East Lansing (G.d.l.C.); Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL (M.Z.A.-H.); Division of General Internal Medicine, Weill Department of Medicine, Weill Cornell Medical College, New York, NY (M.M.S.); and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.).
| | - George Howard
- From the Department of Epidemiology (M.S.L., E.B.L.) and Department of Biostatistics (G.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology & Biostatistics and Department of Statistics & Probability, Michigan State University, East Lansing (G.d.l.C.); Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL (M.Z.A.-H.); Division of General Internal Medicine, Weill Department of Medicine, Weill Cornell Medical College, New York, NY (M.M.S.); and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.)
| | - Gustavo de Los Campos
- From the Department of Epidemiology (M.S.L., E.B.L.) and Department of Biostatistics (G.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology & Biostatistics and Department of Statistics & Probability, Michigan State University, East Lansing (G.d.l.C.); Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL (M.Z.A.-H.); Division of General Internal Medicine, Weill Department of Medicine, Weill Cornell Medical College, New York, NY (M.M.S.); and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.)
| | - Mohammad Z Al-Hamdan
- From the Department of Epidemiology (M.S.L., E.B.L.) and Department of Biostatistics (G.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology & Biostatistics and Department of Statistics & Probability, Michigan State University, East Lansing (G.d.l.C.); Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL (M.Z.A.-H.); Division of General Internal Medicine, Weill Department of Medicine, Weill Cornell Medical College, New York, NY (M.M.S.); and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.)
| | - Monika M Safford
- From the Department of Epidemiology (M.S.L., E.B.L.) and Department of Biostatistics (G.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology & Biostatistics and Department of Statistics & Probability, Michigan State University, East Lansing (G.d.l.C.); Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL (M.Z.A.-H.); Division of General Internal Medicine, Weill Department of Medicine, Weill Cornell Medical College, New York, NY (M.M.S.); and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.)
| | - Emily B Levitan
- From the Department of Epidemiology (M.S.L., E.B.L.) and Department of Biostatistics (G.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology & Biostatistics and Department of Statistics & Probability, Michigan State University, East Lansing (G.d.l.C.); Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL (M.Z.A.-H.); Division of General Internal Medicine, Weill Department of Medicine, Weill Cornell Medical College, New York, NY (M.M.S.); and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.)
| | - Leslie A McClure
- From the Department of Epidemiology (M.S.L., E.B.L.) and Department of Biostatistics (G.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology & Biostatistics and Department of Statistics & Probability, Michigan State University, East Lansing (G.d.l.C.); Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL (M.Z.A.-H.); Division of General Internal Medicine, Weill Department of Medicine, Weill Cornell Medical College, New York, NY (M.M.S.); and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA (L.A.M.)
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Howard VJ, McClure LA, Kleindorfer DO, Cunningham SA, Thrift AG, Diez Roux AV, Howard G. Neighborhood socioeconomic index and stroke incidence in a national cohort of blacks and whites. Neurology 2016; 87:2340-2347. [PMID: 27742815 DOI: 10.1212/wnl.0000000000003299] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2016] [Accepted: 08/19/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To assess the relationship between neighborhood socioeconomic characteristics and incident stroke in a national cohort of black and white participants. METHODS The study comprised black (n = 10,274, 41%) and white (n = 14,601) stroke-free participants, aged 45 and older, enrolled in 2003-2007 in Reasons for Geographic and Racial Differences in Stroke (REGARDS), a national population-based cohort. A neighborhood socioeconomic score (nSES) was constructed using 6 neighborhood variables. Incident stroke was defined as first occurrence of stroke over an average 7.5 (SD 3.0) years of follow-up. Proportional hazards models were used to estimate associations between nSES score and incident stroke, adjusted for demographics (age, race, sex, region), individual socioeconomic status (SES) (education, household income), and other risk factors for stroke. RESULTS After adjustment for demographics, compared to the highest nSES quartile, stroke incidence increased with each decreasing nSES quartile. The hazard ratio (95% confidence interval) ranged from 1.28 (1.05-1.56) in quartile 3 to 1.38 (1.13-1.68) in quartile 2 to 1.56 (1.26-1.92) in quartile 1 (p < 0.0001 for linear trend). After adjustment for individual SES, the trend remained marginally significant (p = 0.085). Although there was no evidence of a differential effect by race or sex, adjustment for stroke risk factors attenuated the association between nSES and stroke in both black and white participants, with greater attenuation in black participants. CONCLUSIONS Risk of incident stroke increased with decreasing nSES but the effect of nSES is attenuated through individual SES and stroke risk factors. The effect of neighborhood socioeconomic characteristics that contribute to increased stroke risk is similar in black and white participants.
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Affiliation(s)
- Virginia J Howard
- From the Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M., G.H.), Dornsife School of Public Health (A.V.D.R.), Drexel University, Philadelphia, PA; Department of Neurology (D.O.K.), University of Cincinnati College of Medicine, OH; Hubert Department of Global Health and Department of Sociology (S.A.C.), Emory University, Atlanta, GA; Epidemiology & Prevention Division (A.G.T.), Stroke and Ageing Research (STARC), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton; and The Florey Institute of Neuroscience and Mental Health (A.G.T.), Melbourne University, Heidelberg, Australia.
| | - Leslie A McClure
- From the Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M., G.H.), Dornsife School of Public Health (A.V.D.R.), Drexel University, Philadelphia, PA; Department of Neurology (D.O.K.), University of Cincinnati College of Medicine, OH; Hubert Department of Global Health and Department of Sociology (S.A.C.), Emory University, Atlanta, GA; Epidemiology & Prevention Division (A.G.T.), Stroke and Ageing Research (STARC), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton; and The Florey Institute of Neuroscience and Mental Health (A.G.T.), Melbourne University, Heidelberg, Australia
| | - Dawn O Kleindorfer
- From the Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M., G.H.), Dornsife School of Public Health (A.V.D.R.), Drexel University, Philadelphia, PA; Department of Neurology (D.O.K.), University of Cincinnati College of Medicine, OH; Hubert Department of Global Health and Department of Sociology (S.A.C.), Emory University, Atlanta, GA; Epidemiology & Prevention Division (A.G.T.), Stroke and Ageing Research (STARC), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton; and The Florey Institute of Neuroscience and Mental Health (A.G.T.), Melbourne University, Heidelberg, Australia
| | - Solveig A Cunningham
- From the Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M., G.H.), Dornsife School of Public Health (A.V.D.R.), Drexel University, Philadelphia, PA; Department of Neurology (D.O.K.), University of Cincinnati College of Medicine, OH; Hubert Department of Global Health and Department of Sociology (S.A.C.), Emory University, Atlanta, GA; Epidemiology & Prevention Division (A.G.T.), Stroke and Ageing Research (STARC), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton; and The Florey Institute of Neuroscience and Mental Health (A.G.T.), Melbourne University, Heidelberg, Australia
| | - Amanda G Thrift
- From the Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M., G.H.), Dornsife School of Public Health (A.V.D.R.), Drexel University, Philadelphia, PA; Department of Neurology (D.O.K.), University of Cincinnati College of Medicine, OH; Hubert Department of Global Health and Department of Sociology (S.A.C.), Emory University, Atlanta, GA; Epidemiology & Prevention Division (A.G.T.), Stroke and Ageing Research (STARC), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton; and The Florey Institute of Neuroscience and Mental Health (A.G.T.), Melbourne University, Heidelberg, Australia
| | - Ana V Diez Roux
- From the Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M., G.H.), Dornsife School of Public Health (A.V.D.R.), Drexel University, Philadelphia, PA; Department of Neurology (D.O.K.), University of Cincinnati College of Medicine, OH; Hubert Department of Global Health and Department of Sociology (S.A.C.), Emory University, Atlanta, GA; Epidemiology & Prevention Division (A.G.T.), Stroke and Ageing Research (STARC), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton; and The Florey Institute of Neuroscience and Mental Health (A.G.T.), Melbourne University, Heidelberg, Australia
| | - George Howard
- From the Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham; Department of Epidemiology and Biostatistics (L.A.M., G.H.), Dornsife School of Public Health (A.V.D.R.), Drexel University, Philadelphia, PA; Department of Neurology (D.O.K.), University of Cincinnati College of Medicine, OH; Hubert Department of Global Health and Department of Sociology (S.A.C.), Emory University, Atlanta, GA; Epidemiology & Prevention Division (A.G.T.), Stroke and Ageing Research (STARC), Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton; and The Florey Institute of Neuroscience and Mental Health (A.G.T.), Melbourne University, Heidelberg, Australia
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Labarthe DR, Howard G, Safford MM, Howard VJ, Judd SE, Cushman M, Kissela BM. Incidence and Case Fatality at the County Level as Contributors to Geographic Disparities in Stroke Mortality. Neuroepidemiology 2016; 47:96-102. [PMID: 27626792 PMCID: PMC5121010 DOI: 10.1159/000449102] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 08/12/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Is the high stroke mortality in the Southeastern parts of the United States driven by differences in stroke incidence or case-fatality? This question remains unanswered. Differences in incidence would underscore the need for stroke prevention, while differences in case fatality would call for improved stroke care. METHODS Quartiles of US counties were defined by stroke mortality, and this gradient was related with stroke incidence and stroke case fatality in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study, where 1,317 incident stroke events (of which 242 were fatal) occurred among 29,650 participants. RESULTS There was a significant (p = 0.0025) gradient of fatal stroke events in REGARDS (quartile 4 vs. quartile 1 (Q4/Q1) hazard ratio 1.95, 95% CI 1.35-2.81), demonstrating the consistency of REGARDS with national mortality data. The gradient for incident stroke (fatal + nonfatal) was also significant (p = 0.0023; Q4/Q1 hazard ratio 1.29, 95% CI 1.10-1.52). The gradient for stroke case-fatality was marginally significant (p = 0.058), though the OR for Q4/Q1 (1.71, 95% CI 1.13-2.25) was large. CONCLUSIONS Both stroke incidence and case-fatality in REGARDS appear to be contributing, underscoring the need for strengthening both stroke prevention and acute stroke care in order to reduce the disparity.
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Affiliation(s)
- Darwin R Labarthe
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill., USA
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Environmental Tobacco Smoke and Atrial Fibrillation: The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study. J Occup Environ Med 2016; 57:1154-8. [PMID: 26539762 DOI: 10.1097/jom.0000000000000565] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVE This study examines the association between environmental tobacco smoke (ETS) exposure and atrial fibrillation (AF). METHODS We examined the cross-sectional association between ETS exposure and AF in 12,021 participants (mean age: 65 ± 9.9 years; 60% women; 40% blacks) from the REasons for Geographic And Racial Differences in Stroke study who self-identified as never smokers between 2003 and 2007. RESULTS A total of 2503 (21%) participants reported ETS exposure. In a multivariate logistic regression model adjusted for sociodemographics and potential confounders, ETS exposure was significantly associated with AF (odds ratio = 1.27, 95% confidence interval = 1.08, 1.50). CONCLUSIONS Our findings suggest that the harmful effects of ETS exposure extend to sustained arrhythmias such as AF.
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Perceived Stress and Atrial Fibrillation: The REasons for Geographic and Racial Differences in Stroke Study. Ann Behav Med 2016; 49:802-8. [PMID: 26044964 DOI: 10.1007/s12160-015-9715-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
BACKGROUND The association between perceived stress and atrial fibrillation (AF) remains unclear. PURPOSE The aim of this study was to examine the association between perceived stress and AF. METHODS A total of 25,530 participants (mean age 65 ± 9.4 years; 54 % women; 41 % blacks) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study were included in this analysis. Logistic regression was used to compute odds ratios (OR) and 95 % confidence intervals (CI) for the association between the short version of the Cohen Perceived Stress Scale and AF. RESULTS In a multivariable analysis adjusted for demographics, cardiovascular risk factors, and potential confounders, the prevalence of AF was found to increase with higher levels of stress (none: OR = 1.0, referent; low stress: OR = 1.12, 95 % CI = 0.98, 1.27; moderate stress OR = 1.27, 95 % CI = 1.11, 1.47; high stress: OR = 1.60, 95 % CI = 1.39, 1.84). CONCLUSION Increasing levels of perceived stress are associated with prevalent AF in REGARDS.
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Differential Impact of Risk Factors in Blacks and Whites in the Development of Atrial Fibrillation: the Reasons for Geographic And Racial Differences in Stroke (REGARDS) Study. J Racial Ethn Health Disparities 2016; 4:718-724. [PMID: 27531069 DOI: 10.1007/s40615-016-0275-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Revised: 08/01/2016] [Accepted: 08/03/2016] [Indexed: 12/18/2022]
Abstract
BACKGROUND Despite a higher prevalence of risk factors, atrial fibrillation (AF) is less prevalent in blacks than whites. To address this paradox, we examined racial differences in the magnitude of AF risk associated with common risk factors. METHODS Participants (13,688; mean age = 63 ± 8.4 years; 56 % female; 37 % black) from the Reasons for Geographic And Racial Differences in Stroke study who were free of baseline AF were included. Incident AF was identified at a follow-up examination by electrocardiogram and self-reported medical history. Poisson regression was used to compute relative risk (RR) and 95 % confidence intervals (CI) for the association between risk factors and incident AF in blacks and whites, separately. Age- and sex-adjusted population attributable fractions (PAFs) of modifiable AF risk factors were computed. RESULTS After median follow-up of 9.4 years, 997 (7.3 %) incident AF cases were detected. Black race was associated with a lower risk of AF (RR = 0.46, 95 % CI = 0.39, 0.53). Significant risk factors for AF were age, male sex, hypertension, obesity, and cardiovascular disease. A differential association was detected for smoking by race, with the association being stronger in blacks (RR = 1.41, 95 % CI = 1.07, 1.85) compared with whites (RR = 1.01, 95 % CI = 0.88, 1.16; P interaction = 0.030). The PAFs for hypertension (blacks = 27.4 %, whites = 19.4 %), obesity (blacks = 16.9 %, whites = 11.8 %), and smoking (blacks = 17.9 %, whites = 2.5 %) were higher for blacks than whites. CONCLUSION Modifiable risk factors are important in AF development among blacks despite a lower risk of the arrhythmia. Racial differences in the magnitude of the association of individual AF risk factors do not explain the AF paradox.
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Roth DL, Skarupski KA, Crews DC, Howard VJ, Locher JL. Distinct age and self-rated health crossover mortality effects for African Americans: Evidence from a national cohort study. Soc Sci Med 2016; 156:12-20. [PMID: 27015163 PMCID: PMC5084845 DOI: 10.1016/j.socscimed.2016.03.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 03/09/2016] [Accepted: 03/12/2016] [Indexed: 11/29/2022]
Abstract
The predictive effects of age and self-rated health (SRH) on all-cause mortality are known to differ across race and ethnic groups. African American adults have higher mortality rates than Whites at younger ages, but this mortality disparity diminishes with advancing age and may "crossover" at about 75-80 years of age, when African Americans may show lower mortality rates. This pattern of findings reflects a lower overall association between age and mortality for African Americans than for Whites, and health-related mechanisms are typically cited as the reason for this age-based crossover mortality effect. However, a lower association between poor SRH and mortality has also been found for African Americans than for Whites, and it is not known if the reduced age and SRH associations with mortality for African Americans reflect independent or overlapping mechanisms. This study examined these two mortality predictors simultaneously in a large epidemiological study of 12,181 African Americans and 17,436 Whites. Participants were 45 or more years of age when they enrolled in the national REasons for Geographic and Racial Differences in Stroke (REGARDS) study between 2003 and 2007. Consistent with previous studies, African Americans had poorer SRH than Whites even after adjusting for demographic and health history covariates. Survival analysis models indicated statistically significant and independent race*age, race*SRH, and age*SRH interaction effects on all-cause mortality over an average 9-year follow-up period. Advanced age and poorer SRH were both weaker mortality risk factors for African Americans than for Whites. These two effects were distinct and presumably tapped different causal mechanisms. This calls into question the health-related explanation for the age-based mortality crossover effect and suggests that other mechanisms, including behavioral, social, and cultural factors, should be considered in efforts to better understand the age-based mortality crossover effect and other longevity disparities.
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Affiliation(s)
- David L Roth
- Center on Aging and Health, Johns Hopkins University, USA; Division of Geriatric Medicine and Gerontology, Department of Medicine, School of Medicine, Johns Hopkins University, USA.
| | - Kimberly A Skarupski
- Center on Aging and Health, Johns Hopkins University, USA; Division of Geriatric Medicine and Gerontology, Department of Medicine, School of Medicine, Johns Hopkins University, USA
| | - Deidra C Crews
- Center on Aging and Health, Johns Hopkins University, USA; Division of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, USA
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, USA
| | - Julie L Locher
- Division of Gerontology, Geriatrics, and Palliative Care, Department of Medicine, University of Alabama at Birmingham, USA
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Howard G, Howard VJ. Stroke Disparities. Stroke 2016. [DOI: 10.1016/b978-0-323-29544-4.00014-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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O'Neal WT, Qureshi WT, Judd SE, Meschia JF, Howard VJ, Howard G, Soliman EZ. Heart rate and ischemic stroke: the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Int J Stroke 2015; 10:1229-35. [PMID: 26306564 DOI: 10.1111/ijs.12620] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2015] [Accepted: 06/22/2015] [Indexed: 12/18/2022]
Abstract
BACKGROUND The association between resting heart rate and ischemic stroke remains unclear. AIM To examine the association between resting heart rate and ischemic stroke. METHODS A total of 24 730 participants (mean age: 64 ± 9·3 years; 59% women; 41% blacks) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who were free of stroke at the time of enrollment (2003-2007) were included in this analysis. Resting heart rate was determined from baseline electrocardiogram data. Heart rate was examined as a continuous variable per 10 bpm increase and also as a categorical variable using tertiles ( <61 bpm, 61 to 70 bpm, and >70 bpm). First-time ischemic stroke events were identified during follow-up and adjudicated by physician review. RESULTS Over a median follow-up of 7·6 years, a total of 646 ischemic strokes occurred. In a Cox regression model adjusted for socio-demographics, cardiovascular risk factors, and potential confounders, each 10 bpm increase in heart rate was associated with a 10% increase in the risk of ischemic stroke (hazard ratio = 1·10, 95% confidence interval = 1·02, 1·18). In the categorical model, an increased risk of ischemic stroke was observed for heart rates in the middle (hazard ratio = 1·29, 95% confidence interval = 1·06, 1·57) and upper (hazard ratio = 1·37, 95% confidence interval = 1·12, 1·67) tertiles compared with the lower tertile. The results were consistent when the analysis was stratified by age, gender, race, exercise habits, hypertension, and coronary heart disease. CONCLUSION In REGARDS, high resting heart rates were associated with an increased risk of ischemic stroke compared with low heart rates. Further research is needed to examine whether interventions aimed to reduce heart rate decrease stroke risk.
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Affiliation(s)
- Wesley T O'Neal
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Waqas T Qureshi
- Department of Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Suzanne E Judd
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - George Howard
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Elsayed Z Soliman
- Department of Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Howard VJ, Tanner RM, Anderson A, Irvin MR, Calhoun DA, Lackland DT, Oparil S, Muntner P. Apparent Treatment-resistant Hypertension Among Individuals with History of Stroke or Transient Ischemic Attack. Am J Med 2015; 128:707-14.e2. [PMID: 25770032 PMCID: PMC4475646 DOI: 10.1016/j.amjmed.2015.02.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2014] [Revised: 02/06/2015] [Accepted: 02/07/2015] [Indexed: 12/17/2022]
Abstract
BACKGROUND Blood pressure control is a paramount goal in secondary stroke prevention; however, high prevalence of uncontrolled blood pressure and use of multiple antihypertensive medication classes in stroke patients suggest this goal is not being met. We determined the prevalence and factors associated with apparent treatment-resistant hypertension in persons with/without stroke or transient ischemic attack. METHODS Data came from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a national, population-based cohort of 30,239 black and white adults aged ≥45 years, enrolled 2003-2007, restricted to 11,719 participants with treated hypertension. Apparent treatment-resistant hypertension was defined as (1) uncontrolled blood pressure (systolic ≥140 mm Hg or diastolic ≥90 mm Hg) with ≥3 antihypertensive medication classes, or (2) use of ≥4 antihypertensive medication classes, regardless of blood pressure level. Poisson regression was used to calculate characteristics associated with apparent treatment-resistant hypertension. RESULTS Among hypertensive participants, prevalence of apparent treatment-resistant hypertension was 24.9% (422 of 1694) and 17.0% (1708 of 10,025) in individuals with and without history of stroke or transient ischemic attack, respectively. After adjustment for cardiovascular risk factors, the prevalence ratio for apparent treatment-resistant hypertension for those with versus without stroke or transient ischemic attack was 1.14 (95% confidence interval, 1.03-1.27). Among hypertensive participants with stroke or transient attack, male sex, black race, larger waist circumference, longer duration of hypertension, and reduced kidney function were associated with apparent treatment-resistant hypertension. CONCLUSIONS The high prevalence of apparent treatment-resistant hypertension among hypertensive persons with history of stroke or transient ischemic attack suggests the need for more individualized blood pressure monitoring and management.
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Affiliation(s)
- Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham.
| | - Rikki M Tanner
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | | | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - David A Calhoun
- Division of Cardiovascular Disease, Department of Medicine, School of Medicine, University of Alabama at Birmingham
| | - Daniel T Lackland
- Department of Neurosciences, Medical University of South Carolina, Charleston
| | - Suzanne Oparil
- Division of Cardiovascular Disease, Department of Medicine, School of Medicine, University of Alabama at Birmingham
| | - Paul Muntner
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
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Lundberg GP, Volgman AS. Burden of stroke in women. Trends Cardiovasc Med 2015; 26:81-8. [PMID: 26051206 DOI: 10.1016/j.tcm.2015.04.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 04/14/2015] [Accepted: 04/15/2015] [Indexed: 12/26/2022]
Abstract
Stroke is the fifth cause of death in the United States and the first cause of disability. While reductions in stroke mortality have occurred, stroke remains a significant burden in women. In addition to traditional cardiovascular risk factors, there are specific risk factors in women that need to be addressed to further reduce deaths in women from stroke. Atrial fibrillation is common in women and needs proper evaluation for anticoagulation for risk reduction. Stroke in women remains a serious cause of preventable deaths, disability, and cost. Implementation of the new guidelines for stroke prevention in women is critical for reducing the burden of stroke in women.
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Affiliation(s)
- Gina Price Lundberg
- Emory Women׳s Heart Center, Atlanta, GA; Emory University School of Medicine, Atlanta, GA; Emory Heart and Vascular Center East Cobb, Marietta, GA.
| | - Annabelle Santos Volgman
- Rush College of Medicine, Rush University Medical Center, Chicago, IL; Rush Heart Center for Women, Rush University Medical Center, Chicago, IL
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Bhatt H, Safford M, Stephen G. Coronary heart disease risk factors and outcomes in the twenty-first century: findings from the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Curr Hypertens Rep 2015; 17:541. [PMID: 25794955 PMCID: PMC4443695 DOI: 10.1007/s11906-015-0541-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
REasons for Geographic and Racial Differences in Stroke (REGARDS) is a longitudinal study supported by the National Institutes of Health to determine the disparities in stroke-related mortality across USA. REGARDS has published a body of work designed to understand the disparities in prevalence, awareness, treatment, and control of coronary heart disease (CHD) and its risk factors in a biracial national cohort. REGARDS has focused on racial and geographical disparities in the quality and access to health care, the influence of lack of medical insurance, and has attempted to contrast current guidelines in lipid lowering for secondary prevention in a nationwide cohort. It has described CHD risk from nontraditional risk factors such as chronic kidney disease, atrial fibrillation, and inflammation (i.e., high-sensitivity C-reactive protein) and has also assessed the role of depression, psychosocial, environmental, and lifestyle factors in CHD risk with emphasis on risk factor modification and ideal lifestyle factors. REGARDS has examined the utility of various methodologies, e.g., the process of medical record adjudication, proxy-based cause of death, and use of claim-based algorithms to determine CHD risk. Some valuable insight into less well-studied concepts such as the reliability of current troponin assays to identify "microsize infarcts," caregiving stress, and CHD, heart failure, and cognitive decline have also emerged. In this review, we discuss some of the most important findings from REGARDS in the context of the existing literature in an effort to identify gaps and directions for further research.
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Affiliation(s)
- Hemal Bhatt
- Division of Cardiovascular Medicine, University of Alabama at Birmingham, 1720 2nd Avenue South, Birmingham, AL 35294-0113, USA
| | - Monika Safford
- Division of Preventive Medicine, University of Alabama at Birmingham, 1720 2nd Avenue South, Birmingham, AL 35294-0113, USA
| | - Glasser Stephen
- Division of Preventive Medicine, University of Alabama at Birmingham, 1720 2nd Avenue South, Birmingham, AL 35294-0113, USA
- 1717 11th Avenue South, MT 634, Birmingham, AL 35205, USA
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Cashion W, McClellan W, Howard G, Goyal A, Kleinbaum D, Goodman M, Prince V, Muntner P, McClure LA, McClellan A, Judd S. Geographic region and racial variations in polypharmacy in the United States. Ann Epidemiol 2015; 25:433-438.e1. [PMID: 25908300 DOI: 10.1016/j.annepidem.2015.01.018] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 01/11/2015] [Accepted: 01/29/2015] [Indexed: 11/18/2022]
Abstract
PURPOSE Medications can have unintended effects. High medication use populations may benefit from increased regimen oversight. Limited knowledge exists concerning racial and regional polypharmacy variation. We estimated total medication distributions (excluding supplements) of American black and white adults and assessed racial and regional polypharmacy variation. METHODS REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort data (n = 30,239 U.S. blacks and whites aged ≥45 years) were analyzed. Home pill bottle inspections assessed the last two weeks' medications. Polypharmacy (≥8 medications) was determined by summing prescription and/or over-the-counter ingredients. Population-weighted logistic regression assessed polypharmacy's association with census region, race, and sex. RESULTS The mean ingredient number was 4.12 (standard error = 0.039), with 15.7% of REGARDS using 8 ingredients or more. In crude comparisons, women used more medications than men, and blacks and whites reported similar mean ingredients. A cross-sectional, logistic model adjusting for demographics, socioeconomics, and comorbidities showed increased polypharmacy prevalence in whites versus blacks (OR [95% CI]: 0.63, [0.55-0.72]), women (1.94 [1.68-2.23]), and Southerners (broadly Southeasterners and Texans; 1.48 [1.17-1.87]) versus Northeasterners (broadly New England and upper Mid-Atlantic). Possible limitations include polypharmacy misclassification and model misspecification. CONCLUSION Polypharmacy is common. Race and geography are associated with polypharmacy variation. Further study of underlying factors explaining these differences is warranted.
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Affiliation(s)
- Winn Cashion
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA.
| | - William McClellan
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA
| | - George Howard
- Department of Biostatistics, University of Alabama at Birmingham
| | - Abhinav Goyal
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA
| | - David Kleinbaum
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA
| | - Michael Goodman
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA
| | - Valerie Prince
- Department of Pharmacy Practice, Samford University McWhorter School of Pharmacy, Birmingham, AL
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham
| | - Leslie A McClure
- Department of Biostatistics, University of Alabama at Birmingham
| | - Ann McClellan
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA
| | - Suzanne Judd
- Department of Biostatistics, University of Alabama at Birmingham
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48
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Jia H, Phipps M, Bravata D, Castro J, Li X, Ordin D, Myers J, Vogel WB, Williams L, Chumbler N. Inpatient Stroke Care Quality for Veterans: Are There Differences between Veterans Affairs Medical Centers in the Stroke Belt and other Areas? Int J Stroke 2015; 10:67-72. [DOI: 10.1111/j.1747-4949.2012.00861.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2011] [Accepted: 02/09/2012] [Indexed: 11/30/2022]
Abstract
Background Stroke mortality has been found to be much higher among residents in the stroke belt region than in the rest of United States, but it is not known whether differences exist in the quality of stroke care provided in Department of Veterans Affairs medical centers in states inside and outside this region. Objective We compared mortality and inpatient stroke care quality between Veterans Affairs medical centers inside and outside the stroke belt region. Methods Study patients were veterans hospitalized for ischemic stroke at 129 Veterans Affairs medical centers. Inpatient stroke care quality was assessed by 14 quality indicators. Multivariable logistic regression models were fit to examine differences in quality between facilities inside and outside the stroke belt, adjusting for patient characteristics and Veterans Affairs medical centers clustering effect. Results Among the 3909 patients, 28·1% received inpatient ischemic stroke care in 28 stroke belt Veterans Affairs medical centers, and 71·9% obtained care in 101 non-stroke belt Veterans Affairs medical centers. Patients cared for in stroke belt Veterans Affairs medical centers were more likely to be younger, Black, married, have a higher stroke severity, and less likely to be ambulatory pre-stroke. We found no statistically significant differences in short- and long-term post-admission mortality and inpatient care quality indicators between the patients cared for in stroke belt and non-stroke belt Veterans Affairs medical centers after risk adjustment. Conclusions These data suggest that a stroke belt does not exist within the Veterans Affairs health care system in terms of either post-admission mortality or inpatient care quality.
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Affiliation(s)
- Huanguang Jia
- US Department of Veterans Affairs, North Florida/South Georgia Veterans Health System, Rehabilitation Outcomes Research Center, Gainesville, FL, USA
| | - Michael Phipps
- Yale University School of Medicine, Robert Wood Johnson Foundation Clinical Scholars Program and the Department of Neurology, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Dawn Bravata
- Veterans Affairs (VA) Health Services Research and Development (HSR&D) Center of Excellence on Implementing Evidence-Based Practice (CIEBP), Indianapolis, IN, USA
- VA HSR&D Stroke Quality Enhancement Research Initiative (Stroke QUERI), Indianapolis, IN, USA
- Regenstrief Institute, Indianapolis, IN, USA
| | - Jaime Castro
- US Department of Veterans Affairs, North Florida/South Georgia Veterans Health System, Rehabilitation Outcomes Research Center, Gainesville, FL, USA
| | - Xinli Li
- VA National Surgery Office, Denver, CO, USA
| | - Diana Ordin
- Department of Veterans Affairs, Veterans Health Administration, Office of Analytics and Business Intelligence, Washington, DC, USA
| | - Jennifer Myers
- Veterans Affairs (VA) Health Services Research and Development (HSR&D) Center of Excellence on Implementing Evidence-Based Practice (CIEBP), Indianapolis, IN, USA
- VA HSR&D Stroke Quality Enhancement Research Initiative (Stroke QUERI), Indianapolis, IN, USA
| | - W. Bruce Vogel
- US Department of Veterans Affairs, North Florida/South Georgia Veterans Health System, Rehabilitation Outcomes Research Center, Gainesville, FL, USA
| | - Linda Williams
- Veterans Affairs (VA) Health Services Research and Development (HSR&D) Center of Excellence on Implementing Evidence-Based Practice (CIEBP), Indianapolis, IN, USA
- VA HSR&D Stroke Quality Enhancement Research Initiative (Stroke QUERI), Indianapolis, IN, USA
- Regenstrief Institute, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Neale Chumbler
- Veterans Affairs (VA) Health Services Research and Development (HSR&D) Center of Excellence on Implementing Evidence-Based Practice (CIEBP), Indianapolis, IN, USA
- VA HSR&D Stroke Quality Enhancement Research Initiative (Stroke QUERI), Indianapolis, IN, USA
- Regenstrief Institute, Indianapolis, IN, USA
- Department of Sociology, Indiana University School of Liberal Arts, Indiana University Purdue University Indianapolis, Indianapolis, IN, USA
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49
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McDonnell MN, Hillier SL, Hooker SP, Le A, Judd SE, Howard VJ. Physical activity frequency and risk of incident stroke in a national US study of blacks and whites. Stroke 2013; 44:2519-24. [PMID: 23868271 PMCID: PMC3809059 DOI: 10.1161/strokeaha.113.001538] [Citation(s) in RCA: 80] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Accepted: 05/21/2013] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Regular physical activity (PA) is an important recommendation for stroke prevention. We compared the associations of self-reported PA with incident stroke in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. METHODS REGARDS recruited 30 239 US blacks (42%) and whites, aged ≥45 years with follow-up every 6 months for stroke events. Excluding those with prior stroke, analysis involved 27 348 participants who reported their frequency of moderate to vigorous intensity PA at baseline according to 3 categories: none (physical inactivity), 1 to 3×, and ≥4× per week. Stroke and transient ischemic attack cases were identified during an average of 5.7 years of follow-up. Cox proportional hazards models were constructed to examine whether self-reported PA was associated with risk of incident stroke. RESULTS Physical inactivity was reported by 33% of participants and was associated with a hazard ratio of 1.20 (95% confidence intervals, 1.02-1.42; P=0.035). Adjustment for demographic and socioeconomic factors did not affect hazard ratio, but further adjustment for traditional stroke risk factors (diabetes mellitus, hypertension, body mass index, alcohol use, and smoking) partially attenuated this risk (hazard ratio, 1.14 [0.95-1.37]; P=0.17). There was no significant association between PA frequency and risk of stroke by sex groups, although there was a trend toward increased risk for men reporting PA 0 to 3× a week compared with ≥4× a week. CONCLUSIONS Self-reported low PA frequency is associated with increased risk of incident stroke. Any effect of PA is likely to be mediated through reducing traditional risk factors.
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Howard VJ, McClure LA, Glymour MM, Cunningham SA, Kleindorfer DO, Crowe M, Wadley VG, Peace F, Howard G, Lackland DT. Effect of duration and age at exposure to the Stroke Belt on incident stroke in adulthood. Neurology 2013; 80:1655-61. [PMID: 23616168 PMCID: PMC3716470 DOI: 10.1212/wnl.0b013e3182904d59] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2012] [Accepted: 12/19/2012] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To assess whether there are differences in the strength of association with incident stroke for specific periods of life in the Stroke Belt (SB). METHODS The risk of stroke was studied in 24,544 black and white stroke-free participants, aged 45+, in the Reasons for Geographic and Racial Differences in Stroke study, a national population-based cohort enrolled 2003-2007. Incident stroke was defined as first occurrence of stroke over an average 5.8 years of follow-up. Residential histories (city/state) were obtained by questionnaire. SB exposure was quantified by combinations of SB birthplace and current residence and proportion of years in SB during discrete age categories (0-12, 13-18, 19-30, 31-45, last 20 years) and entire life. Proportional hazards models were used to establish association of incident stroke with indices of exposure to SB, adjusted for demographic, socioeconomic (SES), and stroke risk factors. RESULTS In the demographic and SES models, risk of stroke was significantly associated with proportion of life in the SB and with all other exposure periods except birth, ages 31-45, and current residence. The strongest association was for the proportion of the entire life in SB. After adjustment for risk factors, the risk of stroke remained significantly associated only with proportion of residence in SB in adolescence (hazard ratio 1.17, 95% confidence interval 1.00-1.37). CONCLUSIONS Childhood emerged as the most important period of vulnerability to SB residence as a predictor of future stroke. Improvement in childhood health circumstances should be considered as part of long-term health improvement strategies in the SB.
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Affiliation(s)
- Virginia J Howard
- Departments of Epidemiology, School of Medicine, University of Alabama at Birmingham, USA.
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