ArticleBMC endocrine disorders2013
The association of anthropometry indices with gout in Taiwanese men.
Article in BMC endocrine disorders, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Exploring the associations and potential mediators between lipid biomarkers and the risk of developing gout: NHANES 2007-2018.Lipids in health and disease · 2024Article
- Lifestyle factors predict gout outcomes: Results from the NOR-Gout longitudinal 2-year treat-to-target study.RMD open · 2023Article
- Physical Function, Hyperuricemia, and Gout in Older Adults.Arthritis care & research · 2015Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men.
methodsThere were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993-1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men.
resultsAfter controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57.
conclusionsWHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.