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Related Concept Videos

Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

248
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
248

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Related Experiment Video

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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
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Metabolic Syndrome Indicators and Cardiovascular/Endocrine Risks in Rural Ecuador: A Cross-Sectional Study.

Guillermo Fernando León-Samaniego1, Holguer Estuardo Romero Urréa1, Freddy Espinoza-Carrasco1

  • 1Facultad de Salud y Servicios Sociales, Universidad Estatal de Milagro, Milagro 091050, Ecuador.

Journal of Personalized Medicine
|March 26, 2025
PubMed
Summary

Metabolic syndrome (MetS) significantly increases risks for cardiovascular and endocrine diseases in rural Ecuador. Early detection and personalized interventions are vital for managing MetS in these communities.

Keywords:
Ecuadorcardiovascular diseases (CVDs)cross-sectional studydyslipidemiaendocrine diseaseshyperglycemialogistic regressionmetabolic syndrome (MetS)public health interventionsrural population

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Area of Science:

  • Public Health
  • Endocrinology
  • Cardiology

Background:

  • Assessing metabolic syndrome (MetS) prevalence and its links to cardiovascular and endocrine diseases.
  • Focus on a rural Ecuadorian parish population.
  • Understanding health disparities in underserved communities.

Purpose of the Study:

  • To determine the prevalence of MetS.
  • To investigate the association between MetS biomarkers and cardiovascular/endocrine diseases.
  • To identify risk factors for these conditions in a specific rural population.

Main Methods:

  • Cross-sectional study design with 200 participants.
  • Descriptive statistics for glucose, cholesterol, and triglyceride levels.
  • Logistic regression to calculate odds ratios for disease likelihood.

Main Results:

  • Elevated average glucose, cholesterol, and triglyceride levels observed.
  • Glucose emerged as the strongest predictor for cardiovascular and endocrine diseases.
  • Cholesterol and triglycerides also significantly contributed to disease risk, with high model predictive performance (AUCs 0.933-0.993).

Conclusions:

  • MetS is strongly associated with increased cardiovascular and endocrine disease risks in this rural Ecuadorian population.
  • Personalized healthcare strategies, including tailored counseling and mHealth, are essential.
  • Improved early detection and management of MetS are critical for vulnerable communities.