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[Non-linear canonical correlation analysis between anthropometric indicators and multiple metabolic abnormalities].

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Anthropometric indicators like BMI and waist circumference are closely linked to biochemical markers of metabolic abnormalities. Overweight and obesity are sensitive predictors of these disorders, highlighting the need for targeted prevention strategies.

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Area of Science:

  • Metabolic Health
  • Anthropometry
  • Biostatistics

Background:

  • Metabolic abnormalities pose a significant health burden.
  • Understanding the interplay between physical measurements and metabolic health is crucial for prevention.

Purpose of the Study:

  • To define the correlation between anthropometric indicators and multiple metabolic abnormalities.
  • To propose prevention strategies for metabolic abnormalities.

Main Methods:

  • Random cluster sampling of adult inhabitants in Henan Province.
  • Utilized questionnaires, physical examinations, and biochemical tests.
  • Applied Non-linear Canonical Correlation Analysis (NLCCA) to analyze relationships between variable sets.

Main Results:

  • A close relationship was found between biochemical indicators (cholesterol, triglycerides, glucose) and anthropometric measures (gender, BMI, waist circumference).
  • Metabolic abnormalities increase with age, and women are more susceptible.
  • Overweight, obesity, and increased waist circumference are strongly associated with multiple metabolic disorders.

Conclusions:

  • Biochemical and anthropometric indicators often change concurrently.
  • Overweight and abdominal obesity are sensitive predictors of multiple metabolic abnormalities.
  • Primary prevention efforts should focus on older adults, particularly middle-aged and older men and women.