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[Type A behaviour pattern and hypercholesterolemia in elder patients].

K Shizuka1, T Yambe, S Fukudo

  • 1Department of Medical Engineering and Cardiology, Tohoku University.

Nihon Ronen Igakkai Zasshi. Japanese Journal of Geriatrics
|September 22, 2000
PubMed
Summary
This summary is machine-generated.

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Type A behavior pattern is linked to higher serum cholesterol and lower BMI in hypercholesterolemia patients. Gender and age influence this relationship, requiring consideration in future studies.

Area of Science:

  • Cardiology
  • Behavioral Science
  • Metabolic Research

Context:

  • Hypercholesterolemia is a significant risk factor for cardiovascular disease.
  • Type A behavior pattern is a personality trait characterized by competitiveness and time urgency.
  • Understanding the interplay between behavior and lipid metabolism is crucial for preventative health strategies.

Purpose:

  • To investigate the association between Type A behavior pattern and hypercholesterolemia.
  • To analyze differences in lipid profiles (serum total cholesterol, triglyceride) and Body Mass Index (BMI) between Type A and Type B individuals.
  • To explore the influence of gender and age on the relationship between Type A behavior and lipid metabolism.

Summary:

  • A study of 109 hypercholesterolemic patients revealed significantly higher serum total cholesterol (p < 0.01) and lower BMI (p < 0.05) in the Type A behavior group compared to the Type B group.

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  • No significant difference in serum triglyceride levels was observed between the two groups.
  • Serum total cholesterol was notably higher in women and individuals in their 60s, irrespective of BMI, suggesting gender and age are important moderators.

    • Impact:

    • This research indicates a connection between Type A behavior and altered lipid metabolism.
    • The findings highlight the necessity of considering demographic factors like gender and age when examining the impact of behavior on lipid profiles.
    • Results contribute to a more nuanced understanding of cardiovascular risk factors, potentially informing personalized health interventions.