Visceral Adiposity Index and Type 2 Diabetes Risk
Author Information
Author(s): Bozorgmanesh Mohammadreza, Hadaegh Farzad, Azizi Fereidoun
Primary Institution: Shahid Beheshti University of Medical Sciences
Hypothesis
Can the visceral adiposity index (VAI) predict the risk of developing Type 2 diabetes better than traditional measures?
Conclusion
The visceral adiposity index (VAI) is a useful prognostic tool for predicting Type 2 diabetes, but it does not outperform the waist-to-height ratio (WHtR) in predictive ability.
Supporting Evidence
- The annual incidence rate of diabetes was 0.85 per 1000 person.
- Mean VAI was 3.06 with a risk gradient of 4.5 between the highest and lowest quintile.
- VAI significantly improved predictive ability of the metabolic syndrome (MetS).
- WHtR outperformed VAI with a cut-point-free NRI of 24.6%.
Takeaway
This study looked at how well a new measure called the visceral adiposity index (VAI) can predict diabetes risk. It found that while VAI is helpful, a simpler measure called waist-to-height ratio is just as good.
Methodology
The study used Weibull regression models on data from participants free of diabetes at baseline, with follow-up examinations to assess diabetes incidence.
Potential Biases
No significant bias risks were reported.
Limitations
Potential misclassification of diabetes status and reliance on self-reported lifestyle changes.
Participant Demographics
Participants were adults aged 20 years or older from Tehran, with a mix of genders.
Statistical Information
P-Value
0.001
Confidence Interval
95% CIs 2.99-3.13
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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