ArticleScientific reports2017
Waist-hip Ratio (WHR), a Better Predictor for Prostate Cancer than Body Mass Index (BMI): Results from a Chinese Hospital-based Biopsy Cohort.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Effectiveness of a Food Education Program for healthcare workers: a pilot study in a Total Worker Health© approach.Frontiers in public health · 2025Article
- Unhealthy lifestyle factors and the risk of colorectal cancer: a Mendelian randomization study.Scientific reports · 2024Article
- Article
- Genome-wide association study identifies genetic risk loci for adiposity in a Taiwanese population.PLoS genetics · 2022Article
- Association of Anthropometric Measures With the Risk of Prostate Cancer in the Multiethnic Cohort.American journal of epidemiology · 2021Article
- Review
- Does Compact Built Environment Help to Reduce Obesity? Influence of Population Density on Waist-Hip Ratio in Chinese Cities.International journal of environmental research and public health · 2020Article
- Impact of Androgen Deprivation on Oxidative Stress and Antioxidant Status in Nigerian Patients With Prostate Cancer Undergoing Androgen Deprivation Therapy.JCO global oncology · 2020Article
- Association between homocysteine, vitamin BBMJ open · 2019Article
- Abdominal obesity and prostate cancer risk: epidemiological evidence from the EPICAP study.Oncotarget · 2018Article
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10 authors.
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Abstract
To investigate whether waist-hip ratio (WHR) is a better predictor of prostate cancer (PCa) incidence than body mass index (BMI) in Chinese men. Of consecutive patients who underwent prostate biopsies in one tertiary center between 2013 and 2015, we examined data on 1018 with PSA ≤20 ng/ml. Clinical data and biopsy outcomes were collected. Logistic regression was used to evaluate the associations between BMI, WHR and PCa incidence. Area under the ROC (AUC) was used to evaluate the accuracy of different prognostic models. A total of 255 men and 103 men were diagnosed with PCa and high grade PCa (HGPCa, Gleason score ≥8). WHR was an independent risk factor for both PCa (OR = 1.07 95%Cl 1.03-1.11) and HGPCa (OR = 1.14 95%Cl 1.09-1.19) detection, while BMI had no relationship with either PCa or HGPCa detection. Adding WHR to a multivariable model increased the AUC for detecting HGPCa from 0.66 (95%Cl 0.60-0.72) to 0.71 (95%Cl 0.65-0.76). In this Chinese cohort, WHR was significantly predictive of PCa and HGPCa. Adding WHR to a multivariable model increased the diagnostic accuracy for detecting HGPCa. If confirmed, including WHR measurement may improve PCa and HGPCa detection.
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