Editorial: Cardiovascular Anthropometry For Large Scale Population Studies Volume II
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By
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Basil N. Okeahialam
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Okechukwu S. Ogah
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May 28, 2026
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Objective:
To discuss advancements in cardiovascular anthropometry and its relevance in predicting cardiometabolic diseases, with specific focus on new indices.
Key Findings:
- BMI may misclassify individuals at risk of cardiometabolic diseases, as noted in the editorial.
- BRI predicts all-cause mortality comparably to BMI with a U-shaped association, according to Wang et al.
- AIP is an independent predictor of hypertension and cardiometabolic diseases, as shown by Zhang et al.
- TGI predicts progression to cardiovascular morbidity linked to insulin resistance, as highlighted by Bao et al.
- Weight adjusted waist index outperforms traditional indices in predicting cardiovascular diseases, as demonstrated by Pimenta et al.
Interpretation:
Limitations:
- The editorial does not provide specific data or outcomes from the studies mentioned.
- It lacks a comprehensive analysis of the effectiveness of new indices across different demographics, particularly in studies referenced.
Conclusion:
