[Cardiometabolic factors in a comunity located at Valencia city, Venezuela]
Nelina Ruiz-Fernández1, Milagros Espinoza, Emilia Barrios
1Departamento de Morfofisiopatología, Escuela de Bioanálisis, Facultad de Ciencias de la Salud, Universidad de Carabobo, Venezuela. nruiz@thor.uc.edu.ve
Insights
Cardiometabolic risk factors like low HDLc and obesity are highly prevalent in a Venezuelan community. Many individuals exhibit clustering of these factors, highlighting an urgent need for targeted public health interventions.
Area of Science:
- Cardiology
- Public Health
- Metabolic Health
Background:
- Cardiometabolic risk factors pose a significant global health burden.
- Understanding local prevalence and clustering is crucial for effective prevention strategies.
Purpose of the Study:
- To assess the prevalence of cardiometabolic factors in a Venezuelan community.
- To identify clustering patterns of these risk factors.
Main Methods:
- A cross-sectional study of 100 adults (19-77 years) in Valencia, Venezuela.
- Measurements included weight, height, abdominal circumference, blood pressure, glucose, lipid profile, and insulin.
- Insulin resistance was calculated using the Homeostatic Model Assessment (HOMA).
Main Results:
- High prevalence of low HDLc (90%), overweight/obesity (78%), abdominal obesity (68%), hypercholesterolemia (59%), and insulin resistance (54.8%).
- Metabolic syndrome affected 57% of the population, more common in women.
- Individuals aged 35-55 showed higher prevalence; clustering of factors was common, with overweight/obesity, hypercholesterolemia, abdominal obesity, and low HDLc being most frequent.
Conclusions:
- The community exhibits a high prevalence of cardiometabolic risk factors and a tendency for them to cluster.
- These findings underscore the necessity for community-based programs aimed at reducing cardiometabolic risk.
Objective:
Assessing the prevalence of cardiometabolic factors in residents from a community in the north of Valencia city, Venezuela, and establishing clustering patterns for the cardiometabolic alterations.
Methods:
One hundred people aged 19 to 77 were studied. Weight, height, abdominal circumference, blood pressure, glucose, lipid profile and insulin were all measured. Insulin resistance was estimated by HOMA.
Results:
The five most prevalent cardiometabolic factors were low HDLc (90 %), overweight/obesity (78 %), abdominal obesity (68 %), hypercholesterolemia (59 %) and insulin resistance (54,8 %). Low HDLc frequency was higher in women (p <0,01). Subjects aged 35 to 55 demonstrated higher cardiometabolic factor frequency. Metabolic syndrome prevalence was 57 %, prevailing in women. Three or four factors were found in most individuals. The most commonly occurring factors in the identified clusters were overweight/obesity, hypercholesterolemia, abdominal obesity and low HDLc. The body mass index and insulin resistance predicted metabolic syndrome in the evaluated group.
Conclusions:
High cardiometabolic factor prevalence was found in the community being studied as well as a high tendency for several of these factors to cluster, thereby indicating the need to execute programmes focusing on reducing cardiometabolic risk.
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