Abstract P241: Psychosocial Profiles and Cardiovascular Disease Risk Factor Control: The Coronary Artery Risk Development in Young Adults (cardia) Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Emily A Vargas ◽  
Kiarri N Kershaw ◽  
Mercedes R Carnethon ◽  
Diana Chirinos ◽  
Allison J Carroll ◽  
...  

Introduction: Psychosocial factors are associated with the onset of chronic disease, however few studies have examined the association between these factors and cardiovascular disease risk factor (CVDRF) control over time in individuals who already have a chronic disease. Thus, the goal of this study was to evaluate associations of psychosocial factors with a composite measure of CVDRF control. Methods: This study includes 1,018 CARDIA participants (51.6% Black; 41.6% Male) with prevalent hypertension (n = 604), hypercholesterolemia (n = 636), and/or diabetes (n = 210) in 2000-2001 (Year 15 follow-up exam). Latent Profile Analysis (LPA) was used to identify distinct psychosocial profiles based on a combination of personality, social life, and psychological health factors (Table). We used generalized estimating equations to determine associations of the psychosocial profiles with composite control, defined as HbA1c < 7.0%, systolic blood pressure (SBP) < 140 mm Hg, and LDL-cholesterol < 100 mm/dl, all measured in 2005-2016. Results: The LPA revealed an optimal model of three psychosocial profile groups (AIC 87,467.545; entropy = .895) namely “Healthy”, “Depressed Mood” and “Discriminated Against”. There were no significant differences in composite control across the profiles. Looking at HbA1C, SBP, and LDL separately in the unadjusted models, we found participants in the Depressed and Discriminated Against profiles were less likely to meet guidelines for SBP compared to individuals in the Healthy profile. Participants in the Discriminated profile were significantly less likely to meet the guidelines for HbA1C levels compared to the Healthy profile. These associations were attenuated with adjustment for sociodemographic covariates. Conclusions: Psychosocial profiles were associated with CVDRF control in unadjusted models, but not independent of socio-demographic characteristics.

1981 ◽  
Vol 10 (1) ◽  
pp. 25-37 ◽  
Author(s):  
Caroline V. Blonde ◽  
Larry S. Webber ◽  
Theda A. Foster ◽  
Gerald S. Berenson

2017 ◽  
Vol 79 (5) ◽  
pp. 541-548 ◽  
Author(s):  
Mitzi M. Gonzales ◽  
Olusola Ajilore ◽  
Rebecca C. Charlton ◽  
Jamie Cohen ◽  
Shaolin Yang ◽  
...  

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