ArticleInternational journal of environmental research and public health2021
Evolution of Cardiovascular Risk Factors in a Worker Cohort: A Cluster Analysis.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Heterogeneity in blood pressure and weight trajectories and associated mortality risk among hypertensive patients in rural South Africa: findings from cluster analysis of longitudinal clinical record linkage data.BMC public health · 2026Article
- Cluster-Based Analysis of Lipid Profiles and Inflammation in Association With Cardiovascular Disease Incidence and Mortality: A 17.5-Year Longitudinal Study.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- Changes in patient profiles in the cardiology department of the University Hospital Gabriel Touré (UH-GT) : results of two cross-sectional studies of 2010 and 2022.BMC cardiovascular disorders · 2024Article
- Prevalence of Multimorbidity and Cardiovascular Risk Factors in a Romanian Occupational Medicine Private Facility.Maedica · 2024Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
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Abstract
The identification of the cardiovascular risk factor (CVRF) profile of individual patients is key to the prevention of cardiovascular disease (CVD), and the development of personalized preventive approaches. Using data from annual medical examinations in a cohort of workers, the aim of the study was to characterize the evolution of CVRFs and the CVD risk score (SCORE) over three time points between 2009 and 2017. For descriptive analyses, mean, standard deviation, and quartile values were used for quantitative variables, and percentages for categorical ones. Cluster analysis was performed using the Kml3D package in R software. This algorithm, which creates distinct groups based on similarities in the evolution of variables of interest measured at different time points, divided the cohort into 2 clusters. Cluster 1 comprised younger workers with lower mean body mass index, waist circumference, blood glucose values, and SCORE, and higher mean HDL cholesterol values. Cluster 2 had the opposite characteristics. In conclusion, it was found that, over time, subjects in cluster 1 showed a higher improvement in CVRF control and a lower increase in their SCORE, compared with cluster 2. The identification of subjects included in these profiles could facilitate the development of better personalized medical approaches to CVD preventive measures.
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