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Developing a Health Risk Evaluation Method for Triple H.

Chien-Chih Wang1, Cheng-Ding Chang2, Bernard C Jiang3

  • 1Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 24301, Taiwan. ieccwang@mail.mcut.edu.tw.

International Journal of Environmental Research and Public Health
|April 4, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new health risk index for healthy individuals, demonstrating a 7.29% reduction in risk after a six-week exercise intervention. This tool aids in preventive medicine by assessing health in non-patients.

Keywords:
common risk factorhealth risk curvekernel density functionmulti-diseases

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Area of Science:

  • Preventive Medicine
  • Health Risk Assessment
  • Biostatistics

Background:

  • Traditional health assessments often focus on disease states, potentially overlooking risks in seemingly healthy individuals.
  • A gap exists in quantifying health risks for individuals with normal risk factor ranges but potential underlying vulnerabilities.

Purpose of the Study:

  • To develop a novel health risk index specifically for healthy populations.
  • To utilize common risk factor data for early disease prevention strategies in well individuals.

Main Methods:

  • Employed kernel density estimation to model the distribution of common risk factors.
  • Developed a health risk index based on estimated risk factor distributions.
  • Utilized a dataset of hypertension, hyperlipidemia, and hyperglycemia (Triple H) data from Taiwan's National Health Insurance Research Database.

Main Results:

  • The proposed health risk index was calculated using changes in risk factors after a six-week exercise intervention.
  • A significant 7.29% reduction in the health risk index was observed post-exercise.
  • Demonstrated the index's utility in quantifying health improvements in healthy subjects.

Conclusions:

  • The developed health risk index offers a valuable tool for preventive medicine in healthy populations.
  • Quantifying health maintenance effects through this index can guide personalized health strategies.
  • This approach supports proactive health management beyond traditional disease-focused models.