Adiposity Measures and Morning Serum Cortisol in African Americans: Jackson Heart Study

Obesity ◽  
2021 ◽  
Vol 29 (2) ◽  
pp. 418-427
Author(s):  
Bjorn Kluwe ◽  
Songzhu Zhao ◽  
David Kline ◽  
Robin Ortiz ◽  
Guy Brock ◽  
...  
Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Solomon K Musani ◽  
Ramachandran Vasan ◽  
Aurelian Bidulescu ◽  
Jung Lee ◽  
Gregory Wilson ◽  
...  

Background: The usefulness of biomarkers from different biologic pathways for predicting cardiovascular disease (CVD) events among African Americans is not well understood. Methods: We evaluated prospectively 3,102 Jackson Heart Study participants (mean age 54 years; 64% women) with data on a panel of 9 biomarkers representing inflammation (high sensitivity C - reactive protein), adiposity (adiponectin, leptin), neurohormonal activation (B-type natriuretic peptide [BNP], aldosterone, and cortisol); insulin resistance (HOMA-IR); and endothelial function (endothelin and homocysteine). We used Cox proportional hazard regression to relate the biomarker panel to the incidence of CVD (stroke, coronary heart disease, angina, heart failure and intermittent claudication) adjusting for standard CVD risk factors. Results: On follow-up (median 8.2 years), 224 participants (141 women) experienced a first CVD event, and 238 (140 women) died. Circulating concentrations of aldosterone, BNP and HOMA-IR were associated with CVD (multivariable-adjusted hazard ratios [HR] and 95% confidence interval [CI] per standard deviation (SD) increase in log-biomarker) were, respectively 1.15, (95% CI 1.01-1.30, p=0.016), 1.97, (95% CI 1.22-2.41, p<0.0001), and 1.30, (95% CI 1.10-1.52, p=0.0064). Blood cortisol and homocysteine were associated with death (HR per SD increment log-biomarker, respectively, 1.17, (95% CI 1.01-1.35, p=0.042), and 1.24, (95% CI 1.10-1.40, pvalue=0.0005). Biomarkers improved risk reclassification by 0.135; 0.120 of which was gained in classification of participants that experienced CVD events and 0.015 from participants that did not. Also, biomarkers marginally increased the model c-statistic beyond traditional risk factors. Conclusions: In our community-based sample of African Americans, circulating aldosterone, BNP and HOMA-IR predicted CVD risk, whereas serum cortisol and homocysteine predicted death. However, the incremental yield of biomarkers over traditional risk factors for risk prediction was minimal.


2019 ◽  
Vol 103 ◽  
pp. 25-32 ◽  
Author(s):  
Robin Ortiz ◽  
Bjoern Kluwe ◽  
James B. Odei ◽  
Justin B. Echouffo Tcheugui ◽  
Mario Sims ◽  
...  

2017 ◽  
Vol 45 ◽  
pp. 199-207 ◽  
Author(s):  
Xu Wang ◽  
Amy H. Auchincloss ◽  
Sharrelle Barber ◽  
Stephanie L. Mayne ◽  
Michael E. Griswold ◽  
...  

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Kamel A Gharaibeh ◽  
Vanessa Xanthakis ◽  
Jung Hye Sung ◽  
Tandaw S Samdarshi ◽  
Herman A Taylor ◽  
...  

Background . Metabolic derangements such as diabetes (DM) and metabolic syndrome (MetS) are common in African Americans (AA) and contribute to the higher cardiovascular disease (CVD) mortality in this group. A greater prevalence of subclinical disease (ScD) among those with DM and MetS in the AA community may be an explanatory factor. Objective . We assessed the CVD risk factor profile and distribution of ScD among AA with DM and MetS in the Jackson Heart Study (JHS). Methods . We evaluated 4,365 AA participants [mean age (SD) of 53.8 (12.3) years, 64.5% women] free of overt CVD who attended JHS Exam 1 (between 2000- 2004), when ScD assessment was routinely performed(with the exception of CT for coronary calcium that occurred in Exam2). SCD measures included 1) peripheral artery disease (PAD, defined as ankle-brachial index<0.9), 2) high coronary artery calcium (CAC, defined as score>100), 3) left ventricular (LV) hypertrophy (LVH defined as left ventricular mass index>51 g/m 2.7 , 4) low LV ejection fraction (low EF, defined as an EF<50%), and 5) microalbuminuria (MA, defined as an albumin-to-creatinine ratio>25 μg/mg in men and >35 μg/mg in women). We compared the distribution of standard CVD risk factors and ScD prevalence in 1) those without DM or MetS (referent), 2) those with MetS but no DM and 3) those with DM. Results . In our study sample, 1,089 (24.9%) had MetS with no DM and 752 (17.2%) had DM. Compared to the referent group, groups with metabolic derangement tended to be older, female, hypertensive, obese, and had lower HDL, higher fasting glucose, and higher triglycerides levels. Table 1 compares the distribution of ScD for the three groups, and demonstrates the greater odds of. CAC, LVH and microalbuminuria in participants with MetS or DM. Conclusion . In our large community-based sample of AAs, we observed a significantly high prevalence of ScD overall, especially so in participants with MetS and DM. These findings likely contribute to the high CVD rates in AA with MetS and DM. -->


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Joseph Yeboah ◽  
Che L Smith ◽  
Mario Sims ◽  
Ervin Fox ◽  
Yaorong Ge ◽  
...  

Background: Prior studies suggest that African Americans (AA) have lower prevalence of coronary artery calcium (CAC) compared to whites, yet CAC has similar ability to predict coronary heart disease (CHD) events. The role of CAC as a screening tool for CHD risk in AA is unclear. We compared the diagnostic accuracy for CHD prevalence using the CAC score and the Framingham Risk Score (FRS) in an adult population of AA. Methods: CAC was measured in 2944 participants in the Jackson Heart Study, an NHLBI funded study of AA based in Jackson, MS. Approximately 8% of this cohort had known cardiovascular disease (CVD) defined as prior MI, angina, stroke, PTCA, CABG or PVD. Logistic regression, ROC and net reclassification index (NRI) analysis were used adjusting for age, gender, SBP, total and HDL cholesterol, smoking status, DM and BMI. FRS was calculated and those with DM were classified as high risk. Results: The mean age was 60, 65% were females, 26% had DM, 50% were obese and 30% were current or former smokers. Prevalent CVD was associated with older age, higher SBP, lower HDL and total cholesterol, and higher CAC. CAC was independently associated with prevalent CVD in our multivariable model [OR (95% CI): 1.26 (1.17, 1.35), p< 0.0001]. In ROC analysis, CAC improved the diagnostic accuracy (c statistic) of the FRS from 0.617 to 0.757 (p < 0.0001) for prevalent CVD. The FRS classified 30% of the cohort as high risk, 38.5% as intermediate risk and 31.5% as low risk. FRS classfied 51% of subjects with prevalent CVD as high risk. Addition of CAC to FRS resulted in net reclassification improvement of 4% for subjects with known CVD and 28.5% in those without CVD (see figure). Conclusion: In AA, the CAC is independently associated with prevalent CVD and improves the diagnostic accuracy of FRS for prevalent CVD by 14%. Addition of CAC improves the NRI of those with prevalent CVD by 4% and the NRI of individuals without CVD by 28.5%. Determination of CAC in AA may be useful in identifying individuals at risk of CVD and reclassifying individuals with low and intermediate FRS.


Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Marwah Abdalla ◽  
John N Booth ◽  
Keith M Diaz ◽  
Mario Sims ◽  
Paul Muntner ◽  
...  

Introduction: Compared with whites, African Americans (AAs) have a higher risk for hypertension-related cardiovascular disease outcomes, which may be related to alterations in left ventricular geometry. Scarce data exist on how the left ventricle remodels in response to hypertension among AAs. Hypothesis: We hypothesized that among AAs, hypertension will be associated with abnormal echocardiographic–derived left ventricular geometric patterns defined as concentric remodeling (CR), concentric hypertrophy (CH), and eccentric hypertrophy (EH). Methods: We analyzed data from the Jackson Heart Study, a community-based AA cohort who completed a baseline exam that included clinic blood pressure (CBP) and 2D echocardiography (n=5,301). CR, CH, EH, and normal patterns were defined according to left ventricular mass index and relative wall thickness defined using standard American Society of Echocardiography recommendations. The analysis was restricted to 4,572 participants with complete CBP, information on antihypertensive medication, and echocardiographic data. Results: Mean ± SD age was 55.5 ± 12.7 years; 64% were female. Mean ± SD systolic and diastolic CBP was 127 ± 18 and 79 ± 11 mmHg, respectively; 2,785 (61%) of participants had hypertension (CBP ≥140/90 mmHg and/or taking antihypertensive medications). The prevalence of CR, CH, and EH were 10.1%, 5.2%, and 8.2%, respectively. In a multivariable-adjusted model with a normal pattern as the referent group, hypertension was associated with a greater risk of CR, CH, and EH: odds ratio 1.85 (95% confidence interval (CI) 1.43-2.38), 4.16 (95% CI 2.53-6.86), and 1.67 (95% CI: 1.26-2.23) respectively. Among hypertensive participants, older age was significantly associated with CR, CH, and EH after multivariable adjustment. Higher systolic CBP, current smoking and a higher number of classes of antihypertensive medications were additionally significantly associated with CH and EH. Male sex, and heavy and moderate alcohol consumption versus none were also significantly associated with CR. Conclusions: In conclusion, abnormal left ventricular geometry was present in almost 25% of AAs. Hypertension was associated with each abnormal geometric pattern, with approximately a four-fold greater odds for CH. Future studies should examine whether abnormal left ventricular geometric patterns, particularly CH, explains the increased risk of cardiovascular disease outcomes associated with hypertension in AAs.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
LáShauntá Glover ◽  
Alain Bertoni ◽  
Sherita Hill-Golden ◽  
Peter Baltrus ◽  
Yuan-I Min ◽  
...  

Introduction: African Americans (AAs) have among the highest prevalence of type 2 diabetes in the U.S. Research has shown that positive affect and supportive networks are associated with better health outcomes and may improve regulation of physiological processes. We examined the extent to which psychosocial resources were protective of diabetes outcomes among a sample of 5,306 AAs. Hypothesis: Psychosocial resource measures are inversely associated with prediabetes and diabetes [defined by hemoglobin (Hb)A1c categories] and prevalent diabetes (defined by self-report diabetes status and medication use). Methods: Using data from the Jackson Heart Study (JHS), we evaluated the cross-sectional associations of four psychosocial-resource indicators (social support, optimism, religiosity, social networks) with two diabetes outcomes [1) HbA1c categories: normal (HbA1c ≤ 5.7%), at risk/pre-diabetic (5.7% < HbA1c < 6.5%), diabetic (HbA1c ≥ 6.5%) and 2) prevalent diabetes (vs. no diabetes)]. For each psychosocial-resource measure, we created high vs. low categories (median split) and continuous standard deviation (SD) units. Associations with HbA1c categories were examined using multinomial logistic regression to estimate odds ratios (OR 95% confidence interval-CI) of pre-diabetes (vs. normal) and diabetes (vs. normal). Associations with prevalent diabetes were examined using Poisson regression to estimate prevalence ratios (PR 95% CI) of diabetes (vs. no diabetes). Models adjusted for demographics, SES, waist circumference, health behaviors, and depression. Results: Participants with diabetes reported fewer psychosocial resources than those with pre-diabetes and normal HbA1c ( p <0.01). After full adjustment, 1-SD unit increase in social support was associated with an 11% lower odds of pre-diabetes (vs. normal HbA1c) (OR 0.89, 95% CI 0.81-0.99). High (vs. low) religiosity was associated with an increased odds of diabetes (vs. normal Hba1c) (OR 1.29, 95% CI 1.01-1.64) after full adjustment. Optimism and social networks were only associated with lower diabetes prevalence after adjustment for demographics and education, respectively. Conclusion: With the exception of religiosity, psychosocial-resource measures were inversely associated with diabetes. Social support and social networks, especially, should be considered when addressing the reduction of diabetes burden among AAs.


2012 ◽  
Vol 224 (2) ◽  
pp. 521-525 ◽  
Author(s):  
Jiankang Liu ◽  
Solomon K. Musani ◽  
Aurelian Bidulescu ◽  
J. Jeffery Carr ◽  
James G. Wilson ◽  
...  

2018 ◽  
Vol 90 ◽  
pp. 141-147 ◽  
Author(s):  
Michelle I. Cardel ◽  
Yuan-I Min ◽  
Mario Sims ◽  
Solomon K. Musani ◽  
Akilah Dulin-Keita ◽  
...  

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