The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study)

Author:

Passinho Renata Soares1ORCID,Bressan Josefina2ORCID,Hermsdorff Helen Hermana Miranda2ORCID,Oliveira Fernando Luiz Pereira de3ORCID,Pimenta Adriano Marçal4ORCID

Affiliation:

1. Universidade Federal do Sul da Bahia, Brasil; Universidade Federal de Minas Gerais, Brazil

2. Universidade Federal de Viçosa, Brazil

3. Universidade Federal de Ouro Preto, Brazil

4. Universidade Federal do Paraná, Brazil

Abstract

Abstract: We aimed to analyze the different trajectories of 30-year cardiovascular risk (CVR) and its independently associated factors in participants of the CUME Study, a prospective study with alumni from federal universities of Minas Gerais State, Brazil. In this study, 1,286 participants who answered the baseline (2016) and follow-up (2018 and 2020) questionnaires were included. Trajectories of CVR, according to the Framingham score, were identified with the latent class growth modelling technique with the use of the censored normal model. Analysis of the factors independently associated with each of the trajectories was conducted with multinomial logistic regression technique. Three CVR trajectories were identified: Low-Low (68.3%), Medium-Medium (26.2%), and High-High (5.5%). Male sex, living in a stable union, and having moderate and high intakes of ultra-processed foods were positively associated with the Medium-Medium and High-High CVR trajectories. Having non-healthcare professional training and working were positively associated with the Medium-Medium CVR trajectory, whereas being physically active was negatively associated with the High-High CVR trajectory. In conclusion, more than one-third of participants had CVR trajectories in the Medium-Medium and High-High categories. Food consumption and physical activity are modifiable factors that were associated with these trajectories; thus, implementing health promotion measures could help prevent the persistence or worsen of CVR. On the other hand, sociodemographic and labor characteristics are non-modifiable factors that were associated with Medium-Medium and High-High trajectories, which could help identify people who should be monitored with more caution by health services.

Publisher

FapUNIFESP (SciELO)

Subject

Public Health, Environmental and Occupational Health

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