scholarly journals Preface for the Special Issue “Cardiovascular Risk Factors and Socioeconomic Status in Japan: NIPPON DATA2010”

2018 ◽  
Vol 28 (Supplement_III) ◽  
pp. S1-S1
Author(s):  
Katsuyuki Miura ◽  
Akira Okayama
Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Anna E Fretz ◽  
Andrea L Schneider ◽  
John McEvoy ◽  
Ron Hoogeveen ◽  
Christie M Ballantyne ◽  
...  

Background: The association between socioeconomic status (SES) and clinical cardiovascular events is well established. However, little is known about the relationship between SES and subclinical myocardial damage, as assessed by a novel highly sensitive assay for cardiac troponin T (hs-cTnT). Methods: We conducted a cross-sectional analysis of 11,411 participants from the ARIC Study with no history of cardiovascular disease who had hs-cTnT measured at visit 2 (1990-1992). SES was defined using either annual household income, categorized as: low (<$16,000), mid-level ($16,000 - $34,999), high (≥ $35,000), or lifetime educational attainment, categorized as: low (<12th grade), mid-level (12th grade/some college) and high (college degree or higher). hs-cTnT was categorized as non-elevated (<14 ng/L) and elevated (≥ 14ng/L). Poisson regression was used to generate prevalence ratios for elevated hs-cTnT, separately by level of income and education after adjusting for demographic, clinical, and behavioral factors. Results: Persons with low income or low education were more likely to have subclinical myocardial damage as assessed by elevated hs-cTnT (≥14ng/L). Adjusted prevalence ratios for elevated troponin comparing low to high levels of income and education were 1.74 (95% CI: 1.32, 2.29) and 1.54 (95% CI: 1.21, 1.97), respectively (Table, Model 1). These results were slightly attenuated, but remained statistically significant after adjusting for cardiovascular risk factors and health behaviors (Models 2 and 3). Race-stratified results demonstrate a somewhat stronger and only significant association of low education with subclinical myocardial damage in blacks compared to whites (PR 1.83 vs 1.05, p-interaction =0.08). There was no race interaction with income (p-interaction =0.33). Conclusions: Low SES was associated with elevated hs-cTnT, independent of cardiovascular risk factors, especially in blacks. Further research is needed to explore how low SES contributes to subclinical myocardial damage.


2012 ◽  
Vol 39 (4) ◽  
pp. 777-783 ◽  
Author(s):  
JANET W. MAYNARD ◽  
HONG FANG ◽  
MICHELLE PETRI

Objective.Accelerated atherosclerosis is a major cause of death in systemic lupus erythematosus (SLE), yet little is known about the effect of socioeconomic status. We investigated whether education or income levels are associated with cardiovascular risk factors and outcomes in SLE.Methods.Our study involved a longitudinal cohort of all patients with SLE enrolled in the Hopkins Lupus Cohort from 1987 through September 2011. Socioeconomic status was measured by education level (≥ 12 years or < 12) and income tertiles (> $60,000, $25,000–$60,000, or < $25,000).Results.A total of 1752 patients with SLE were followed prospectively every 3 months. There were 1052 whites and 700 African Americans. Current smoking, obesity, hypertension, and diabetes mellitus were more common in African Americans (p < 0.01 for all), but there was no statistical difference in the frequency of myocardial infarction or stroke. In multivariate analyses stratified by ethnicity, low income was strongly associated with most traditional cardiovascular risk factors in whites, but only with smoking and diabetes in African Americans. In whites, low income increased the risk of both myocardial infarction (OR 3.24, 95% CI 1.41–7.45, p = 0.006) and stroke (OR 2.85, 95% CI 1.56–5.21, p = 0.001); in African Americans, these relationships were not seen. Low education, in contrast, was associated with smoking in both ethnic groups.Conclusion.Low income, not low education, is the socioeconomic status variable associated with cardiovascular risk factors and events. This association is most clearly demonstrable in whites.


JAMA ◽  
2021 ◽  
Vol 326 (13) ◽  
pp. 1286
Author(s):  
Jiang He ◽  
Zhengbao Zhu ◽  
Joshua D. Bundy ◽  
Kirsten S. Dorans ◽  
Jing Chen ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e44098 ◽  
Author(s):  
Rajeev Gupta ◽  
Prakash C. Deedwania ◽  
Krishnakumar Sharma ◽  
Arvind Gupta ◽  
Soneil Guptha ◽  
...  

2011 ◽  
Vol 27 (5) ◽  
pp. S81
Author(s):  
S. Lord ◽  
C. Manlhiot ◽  
D. Gibson ◽  
N. Chahal ◽  
K. Stearne ◽  
...  

1996 ◽  
Vol 6 (4) ◽  
pp. 290-298 ◽  
Author(s):  
Lan Lan L. Yeh ◽  
Lewis H. Kuller ◽  
Clareann H. Bunker ◽  
Flora A. Ukoli ◽  
Sara L. Huston ◽  
...  

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Thomas R Austin ◽  
Susan R Heckbert ◽  
Ilya M Nasrallah ◽  
Guray Erus ◽  
Lisa M Desiderio ◽  
...  

Introduction: Cardiovascular risk factors are associated with cognitive decline and dementia. Brain magnetic resonance imaging (MRI) provides sensitive measurement of cerebral atrophy and small vessel disease, reflecting multiple pathologies leading to dementia. However, large brain MRI studies include primarily white participants. We investigated associations in the diverse Multi-Ethnic Study of Atherosclerosis (MESA). Hypothesis: Cardiovascular and sociodemographic risk factors are associated with brain morphology and white matter injury in a racially and ethnically diverse population. Methods: In MESA, brain MRI was performed in 2018-2019 with automated measurement of total brain volume, gray and white matter (GM, WM) volume, and measures of WM injury including WM lesion volume, WM fractional anisotropy, and WM apparent diffusion coefficient. In cross-sectional analyses, we assessed the association of race/ethnicity with MRI measures, with and without adjustment for cardiovascular risk factors, education, and socioeconomic status. In a multivariable model, we assessed the association of cardiovascular risk factors with brain MRI measures. All analyses of volumes, including WM lesion volume, were adjusted for total intracranial volume. Results: MRI data were complete in 1,051 participants; 40% were white, 15% Chinese-American, 25% African-American, and 20% Hispanic. Mean (standard deviation, SD) age was 73 (8) years and 53% of participants were women. Adjusted for age and sex, African-American participants had slightly greater total brain and WM volume than white participants. Adjusted for age and sex, African-American participants had on average more WM injury than whites as measured by higher WM lesion volume (46.7% higher, 95% CI: 19.9, 79.4%) and lower fractional anisotropy (-0.20 SD, 95% CI: -0.34, -0.05); these associations were attenuated after additional adjustment for cardiovascular risk factors and socioeconomic status (24.3% higher WM lesion volume, 95% CI: 0.0, 54.3; -0.06 SD fractional anisotropy, 95% CI: -0.22, 0.09). Conversely, all non-white race/ethnic groups had slightly less WM injury than white participants as estimated by apparent diffusion coefficient. Overall, greater age, diabetes, current smoking, high systolic blood pressure, and treated hypertension were strongly associated with more WM injury; in addition, age and diabetes were strongly associated with lower brain volumes. Conclusions: We found little evidence of differences in measures of brain atrophy and WM injury by race/ethnicity after adjustment for cardiovascular risk factors and socioeconomic status. Findings of differences by race/ethnicity in apparent diffusion coefficient are intriguing and need further investigation. Consistent with previous studies, age, diabetes, current smoking and hypertension were strongly and consistently associated with WM injury.


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