Waist-to-Height Ratio and Body Roundness Index as Predictors of Insulin Resistance in Chinese Adults
Author Information
Author(s): Li Anxiang, Liu Yunwei, Liu Qi, Peng You, Liang Qingshun, Tao Yiming, Liu Yunyi, Cui Chongsong, Ren Qiqi, Zhou Yingling, Long Jieer, Fan Guanjie, Lu Qiyun, Liu Zhenjie
Primary Institution: Guangdong Provincial Hospital of Chinese Medicine
Hypothesis
This study aims to compare the ability of seven anthropometric indicators in predicting insulin resistance in the Chinese population.
Conclusion
Waist-to-height ratio and body roundness index are better predictors of insulin resistance in the overall study population, considering gender and age.
Supporting Evidence
- WtHR and BRI had the highest AUC values of 0.711 for detecting insulin resistance.
- The optimal cut-off value for WtHR to diagnose insulin resistance was 0.53.
- In the gender-stratified and age-stratified analysis, BMI, WtHR, BRI, and AVI all had AUC values >0.700 in females and individuals below 60.
Takeaway
This study found that measuring waist-to-height ratio and body roundness can help doctors figure out if someone has insulin resistance, which is important for preventing diseases.
Methodology
This prospective cross-sectional study collected medical history, anthropometric indicators, and serum samples from participants in three hospitals in China, using logistic regression and ROC curve analysis to evaluate the predictive ability of various anthropometric indicators for insulin resistance.
Potential Biases
The non-randomized sampling method may introduce bias.
Limitations
The study did not consider other potential confounding factors such as dietary habits and physical activity levels, and used a non-randomized sampling method.
Participant Demographics
The study included 1,592 adult subjects, with 842 females and 750 males.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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