Psychosocial profiles and longitudinal achievement of optimal cardiovascular risk factor levels: the Coronary Artery Risk Development in Young Adults (CARDIA) study
- PMID: 34671896
- PMCID: PMC10083095
- DOI: 10.1007/s10865-021-00259-1
Psychosocial profiles and longitudinal achievement of optimal cardiovascular risk factor levels: the Coronary Artery Risk Development in Young Adults (CARDIA) study
Abstract
Psychosocial factors are associated with the achievement of optimal cardiovascular disease risk factor (CVDRF) levels. To date, little research has examined multiple psychosocial factors simultaneously to identify distinguishing psychosocial profiles among individuals with CVDRF. Further, it is unknown whether profiles are associated with achievement of CVDRF levels longitudinally. Therefore, we characterized psychosocial profiles of individuals with CVDRF and assessed whether they are associated with achievement of optimal CVDRF levels over 15 years. We included 1148 CARDIA participants with prevalent hypertension, hypercholesterolemia and/or diabetes mellitus in 2000-2001. Eleven psychosocial variables reflecting psychological health, personality traits, and social factors were included. Optimal levels were deemed achieved if: Hemoglobin A1c (HbA1c) < 7.0%, low-density lipoprotein (LDL) cholesterol < 100 mg/dl, and systolic blood pressure (SBP) < 140 mm Hg. Latent profile analysis revealed three psychosocial profile groups "Healthy", "Distressed and Disadvantaged" and "Discriminated Against". There were no significant differences in achievement of CVDRF levels of the 3 targets combined across profiles. Participants in the "Distressed and Disadvantaged" profile were less likely to meet optimal HbA1c levels compared to individuals in the "Healthy" profile after demographic adjustment. Associations were attenuated after full covariate adjustment. Distinct psychosocial profiles exist among individuals with CVDRF, representing meaningful differences. Implications for CVDRF management are discussed.
Keywords: Chronic disease management; Diabetes mellitus; Hypercholesterolemia; Hypertension; Psychosocial factors.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
APC has received investigator-initiated support unrelated to this work from Amgen, Inc. All other authors declare no conflicts of interest relevant to the content of this article.
Figures

References
-
- Allen LN, Smith RW, Simmons-Jones F, Roberts N, Honney R, & Currie J (2020). Addressing social determinants of noncommunicable diseases in primary care: a systematic review. Bulletin of the World Health Organization, 98(11), 754–765b. Retrieved from <Go to ISI>://WOS:000601203000017. doi:10.2471/Blt.19.248278 - DOI - PMC - PubMed
-
- Baek J, Hur NW, Kim HC, & Youm Y (2016). Sex-specific effects of social networks on the prevalence, awareness, and control of hypertension among older Korean adults. Journal of Geriatric Cardiology, 13(7), 580–586. Retrieved from <Go to ISI>://WOS:000385234900004. doi:10.11909/j.issn.1671-5411.2016.07.005 - DOI - PMC - PubMed
-
- Boehm JK, Chen Y, Koga H, Mathur MB, Vie LL, & Kubzansky LD (2018). Is Optimism Associated With Healthier Cardiovascular-Related Behavior? Meta-Analyses of 3 Health Behaviors. Circulation Research, 122(8), 1119-+. Retrieved from <Go to ISI>://WOS:000429994500018. doi:10.1161/Circresaha.117.310828 - DOI - PubMed
-
- Bromberger JT, & Matthews KA (1996). A longitudinal study of the effects of pessimism, trait anxiety, and life stress on depressive symptoms in middle-aged women. Psychology and Aging, 11(2), 207–213. Retrieved from <Go to ISI>://WOS:A1996UR95300003. doi:Doi 10.1037/0882-7974.11.2.207 - DOI - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources