ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2026
Associations Between Multidimensional Obesity Indices and Diabetic Peripheral Neuropathy and Comparison of Their Discriminative Performance.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: Obesity is an important risk factor for diabetic peripheral neuropathy (DPN), but body mass index (BMI) may not fully reflect variations in fat distribution and overall obesity. This study evaluated the associations between multiple obesity-related indices and DPN risk and compared their discriminative performance and potential clinical value. Patients and Methods: A total of 950 participants were enrolled. Fourteen obesity-related indices were assessed: BMI, waist circumference (WC), hip circumference (HC), weight-adjusted waist index (WWI), waist divided by height Results: After adjustment for potential confounders, all fourteen obesity-related indices were positively associated with DPN risk per standard deviation increase. RFM showed the strongest association (OR = 3.631, 95% CI: 2.576-5.118), followed by conicity index (OR = 2.792, 95% CI: 2.282-3.416). Sensitivity analyses showed that these associations remained generally stable. Among all indices, conicity index had the highest area under the curve (AUC = 0.727), with an optimal cutoff of 1.279. Decision curve analysis indicated that conicity index provided relatively better potential clinical net benefit. Conclusion: Multiple obesity-related indices were associated with increased DPN risk. RFM showed the strongest association, whereas conicity index demonstrated better discriminative performance and potential clinical net benefit. Incorporating conicity index into early DPN screening strategies may facilitate the earlier detection of individuals at high risk. However, its clinical applicability requires further validation in prospective studies and external populations.
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