Evolution of Cardiovascular Risk Factors in a Worker Cohort: A Cluster Analysis

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...

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Bibliographic Details
Published in:International journal of environmental research and public health 2021-05, Vol.18 (11), p.5610
Main Authors: Castel-Feced, Sara, Maldonado, Lina, Aguilar-Palacio, Isabel, Malo, Sara, Moreno-Franco, Belén, Mur-Vispe, Eusebio, Alcalá-Nalvaiz, José-Tomás, Rabanaque-Hernández, María José
Format: Article
Language:English
Subjects:
Alcohol use
Blood pressure
Body mass
Body mass index
Body size
Cardiovascular disease
Cardiovascular diseases
Cholesterol
Cluster analysis
Customization
Diabetes
Evolution
Factories
Glucose
Health risks
High density lipoprotein
Hypertension
Longitudinal studies
Medical personnel
Physical examinations
Population
Prevention
Risk analysis
Risk factors
Smoking
Variables
Workers
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Summary: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.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph18115610