ArticleFrontiers in nutrition2022
Comparison of waist-height ratio and other obesity indices in the prediction of diabetic peripheral neuropathy.
Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- General obesity index or central obesity indicators: which is a better predictor of body fat percentage in the first trimester?BMC pregnancy and childbirth · 2025Article
- Glycaemic control, low levels of high-density lipoprotein, and high cardiovascular risk are associated with cardiovascular autonomic neuropathy.Diabetology & metabolic syndrome · 2025Article
- Obesity negatively impacts corneal nerves in patients with diabetes mellitus.Eye and vision (London, England) · 2025Article
- Different obesity indicators and their correlation with hypertension, diabetes, and dyslipidemia in 35-74 years rural residents in Northwest China.Frontiers in endocrinology · 2025Article
- Peripheral Neuropathy in Virologically Suppressed People Living with HIV: Evidence from the PIVOT Trial.Viruses · 2023Article
- There was a similar U-shaped nonlinear association between waist-to-height ratio and the risk of new-onset hypertension: findings from the CHNS.Frontiers in nutrition · 2023Article
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Waist-height ratio (WHtR) is increasingly being studied as a simple and effective measure of central obesity. Reports have shown that WHtR is a better predictor of hypertension, diabetes, and cardiovascular diseases when compared to traditional obesity indices like body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR). This study is therefore aimed at comparing WHtR with other obesity indices in the prediction of peripheral neuropathy in persons with diabetes mellitus (DM). Methodology: One thousand and forty persons with DM were enrolled following consent. Relevant details of history were obtained, followed by physical examinations. Data were analyzed using IBM-SPSS version 23. Logistic regression was used to compare the odds ratio of obesity indices in the prediction of peripheral neuropathy. The level of significance used was Results: Logistic regression showed that WHtR had the highest odds ratio (OR) for the prediction of "probable" diabetic peripheral neuropathy (OR 9.11, 95% CI 3.07-47.97, Conclusion: WHtR has the highest odds ratio in the prediction of "probable" diabetic peripheral neuropathy in both genders, followed by WC in the males and BMI in the females.
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