bogalusa heart study
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2021 ◽  
Vol 17 (S10) ◽  
Author(s):  
Robert L Newton ◽  
Kathryn L Gwizdala ◽  
Lydia Bazzano ◽  
Owen T Carmichael

2021 ◽  
Vol 17 (S10) ◽  
Author(s):  
Lydia Bazzano ◽  
Kathryn L Gwizdala ◽  
Owen T Carmichael ◽  
Robert L Newton

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 137-137
Author(s):  
Lydia Bazzano ◽  
Camilo Fernandez ◽  
Philip Hwang ◽  
Ileana DeAnda-Duran ◽  
Enejda Senko ◽  
...  

Abstract Tablets, smartphones, linked devices have features such as high-fidelity microphones, accelerometers, GPS locators, and gyroscopes can be used to capture brain health-related data. Collection of data remotely is especially important given the vulnerability of older adults to COVID and the need to protect from such exposure. As part of an American Heart Association/Gates Venture Strategically Funded Network, a number of remote assessments are being deployed to capture information related to brain health in a subset of the Bogalusa Heart Study cohort (mean age 51.4, SD 5.3). The Linus Health Platform includes applications that measure cognitive abilities, and collect digital voice features and phone sensor data that can be derived into surrogate measures of cognitive function and mood. A readily available suite of games (Lumosity) is also being used to assess cognitive health. These devices and applications offer a largely unexplored opportunity for acquiring and assessing data related to brain health.


Author(s):  
William J. He ◽  
Jingsha Chen ◽  
Alexander C. Razavi ◽  
Emily A. Hu ◽  
Morgan E. Grams ◽  
...  

Background and objectivesModerate coffee consumption has been associated with lower risk of CKD; however, the exact biologic mechanisms underlying this association are unknown. Metabolomic profiling may identify metabolic pathways that explain the association between coffee and CKD. The goal of this study was to identify serum metabolites associated with coffee consumption and examine the association between these coffee-associated metabolites and incident CKD.Design, setting, participants, & measurementsUsing multivariable linear regression, we identified coffee-associated metabolites among 372 serum metabolites available in two subsamples of the Atherosclerosis Risk in Communities study (ARIC; n=3811). Fixed effects meta-analysis was used to pool the results from the two ARIC study subsamples. Associations between coffee and metabolites were replicated in the Bogalusa Heart Study (n=1043). Metabolites with significant associations with coffee in both cohorts were then evaluated for their prospective associations with incident CKD in the ARIC study using Cox proportional hazards regression.ResultsIn the ARIC study, mean (SD) age was 54 (6) years, 56% were daily coffee drinkers, and 32% drank >2 cups per day. In the Bogalusa Heart Study, mean (SD) age was 48 (5) years, 57% were daily coffee drinkers, and 38% drank >2 cups per day. In a meta-analysis of two subsamples of the ARIC study, 41 metabolites were associated with coffee consumption, of which 20 metabolites replicated in the Bogalusa Heart Study. Three of these 20 coffee-associated metabolites were associated with incident CKD in the ARIC study.ConclusionsWe detected 20 unique serum metabolites associated with coffee consumption in both the ARIC study and the Bogalusa Heart Study, and three of these 20 candidate biomarkers of coffee consumption were associated with incident CKD. One metabolite (glycochenodeoxycholate), a lipid involved in primary bile acid metabolism, may contribute to the favorable kidney health outcomes associated with coffee consumption. Two metabolites (O-methylcatechol sulfate and 3-methyl catechol sulfate), both of which are xenobiotics involved in benzoate metabolism, may represent potential harmful aspects of coffee on kidney health.


2021 ◽  
Author(s):  
Tingting Du ◽  
Vivian Fonseca ◽  
Wei Chen ◽  
Lydia Bazzano

Abstract Background: Cardiometabolic outcomes associated with changes between body size phenotypes (defined by body mass index [BMI] together with metabolic status) over time have attracted attention recently. It remains unclear how metabolic health change from childhood to adulthood across different BMI categories and how such dynamic changes from childhood to adulthood might affect risk of cardiometabolic outcomes in adulthood. Therefore, we aimed to examine the effects of changes in body size phenotypes between childhood and adulthood on risks of diabetes and left ventricular hypertrophy (LVH) in adulthood.Methods: We included 3,351 individuals who participated as both children and adults in the Bogalusa Heart Study. The mean follow-up period was 36 years. Body size phenotypes for both children and adults were defined by harmonized criteria.Results: Compared with participants with persistently metabolically healthy normal weight (MHNW) from childhood to adulthood, MHNW children who became metabolically unhealthy in adulthood had increased diabetes burden and LVH risk in adulthood; Metabolically unhealthy normal weight (MUNW) children who became MHNW or metabolically healthy obese (MHO) as adults and individuals with persistent MHO from childhood to adulthood were not at increased risks of diabetes or LVH. The risks were increased if MHO during childhood transitioned to metabolically unhealthy obesity (MUO) by adulthood or MUO stayed from childhood to adulthood. MUO children who became MHO or MHNW as adults had decreased diabetes burden and LVH risk in adulthood.Conclusions: Individuals maintained MHO from childhood to adulthood and MUNW children who became MHO as adults had a diabetes burden and LVH risk similar to individuals with persistent MHNW. Progression to metabolically unhealthy status and maintenance of metabolically unhealthy status, regardless of childhood BMI status, were associated with increased cardiometabolic outcomes.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Alexander C Razavi ◽  
Lydia A Bazzano ◽  
Jiang He ◽  
Camilo Fernandez ◽  
Jing Chen ◽  
...  

Introduction: Early differentiation of healthy arterial aging versus premature atherosclerosis is important for optimal atherosclerotic cardiovascular disease (ASCVD) risk stratification and prevention. We sought to identify predictors for the long-term absence of carotid plaque in young adults. Hypothesis: Calcium and phosphate are found in excess in atherosclerotic lesions, therefore we hypothesized that mineral markers may help to explain residual heterogeneity in arterial aging phenotypes beyond traditional ASCVD risk factors. Methods: We included 508 participants from the Bogalusa Heart Study without clinical ASCVD who were free of carotid plaque at baseline (2001-02) and underwent ultrasound at follow-up (2013-16). Modified Poisson regression estimated the persistent absence of carotid plaque over 12.8 years. Results: Participants were on average 36.2 years old at baseline, 64% were women, and 29% were African American. Although a majority (97%) of participants had a 10-year ASCVD risk <7.5%, only 68% remained free of plaque ( Figure ). Beyond younger age (RR=1.20, 95% CI: 1.07-1.36, per 10 years) and a total cholesterol-HDL-cholesterol ratio <3.5 (RR=1.15, 95% CI: 1.01-1.30), normal values of traditional risk factors did not predict long-term absence of plaque. Independent from traditional markers, including glomerular filtration rate, serum calcium-phosphate product (RR=1.08, 95% CI: 1.01-1.14, per 1-SD lower), phosphate (RR=1.15, 95% CI: 1.03-1.29, per 1 mg/dL lower), and dietary sodium <2300 mg/day (RR=1.20, 95% CI: 1.03-1.41) significantly associated with non-development of plaque. Conclusions: Lower calcium-phosphate homeostasis and low sodium intake independently associated with long-term absence of carotid plaque. However, nearly one-third of young adults with a relatively low burden of traditional risk factors developed premature atherosclerosis. These results suggest that dietary and intrinsic minerals are early contributors to the development of arterial aging phenotypes.


2021 ◽  
Vol 5 (1) ◽  
pp. 21-27
Author(s):  
Yinkun Yan ◽  
Shengxu Li ◽  
Yang Liu ◽  
Lydia Bazzano ◽  
Jiang He ◽  
...  

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