Assessment of lipid profile in university workers: a cross-sectional study with recommendations for preventing cardiovascular disease outcomes
DOI:
https://doi.org/10.63434/30286999.148Keywords:
Cardiovascular disease, dyslipidemia, risk factors, personalized recommendations, prevention, workersAbstract
Cardiovascular diseases (CVD) represent a significant health and economic burden to health systems. Dyslipidemia plays a crucial role in their development; however, there are few specific recommendations for mild lipid profile alterations in individuals not receiving pharmacological treatment.
Objective: This study aims to identify risk factors and develop a personalized recommendation algorithm to reduce these risks in university workers.
Methods: A cross-sectional, descriptive study was conducted using data from 309 university workers who participated in a cardiovascular prevention program. Information was collected from August 20 to September 25, 2024, and included anthropometric measurements, vital signs, laboratory tests, and lifestyle habits. The results were interpreted based on guidelines from the European Society of Cardiology (ESC) and the American Diabetes Association (ADA). A literature review was also conducted to integrate strategies into a personalized recommendation algorithm.
Results: Of the total participants, 28.16% were men and 71.84% were women. A total of 39.8% were classified as overweight, and 10.67% as having grade I obesity. Furthermore, 19.74% had elevated LDL cholesterol levels, and 28.47% had high triglycerides. Literature suggests that improving sleep patterns and consuming diets rich in unsaturated fatty acids and soluble fiber may reduce these risks.
Conclusions: Personalized interventions are essential for reducing cardiovascular risk in working populations. A system of individualized recommendations could facilitate lifestyle changes, prevent the progression of dyslipidemia, and lower the incidence of CVD among university workers.
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