Comparison of the predictive value of anthropometric indicators for the risk of benign prostatic hyperplasia in southern China.
- Author:
Meng-Jun HUANG
1
;
Yan-Yi YANG
2
;
Can CHEN
1
;
Rui-Xiang LUO
1
;
Chu-Qi WEN
1
;
Yang LI
1
;
Ling-Peng ZENG
1
;
Xiang-Yang LI
1
;
Zhuo YIN
1
Author Information
- Publication Type:Journal Article
- Keywords: benign prostate hyperplasia; obesity index; predictive value; risk prediction
- MeSH: Middle Aged; Male; Humans; Aged; Prostatic Hyperplasia; Obesity/epidemiology*; Body Mass Index; China/epidemiology*; Waist-Height Ratio; ROC Curve; Waist Circumference; Risk Factors
- From: Asian Journal of Andrology 2023;25(2):265-270
- CountryChina
- Language:English
- Abstract: This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia (BPH). Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital, Central South University (Changsha, China) from June to December 2020 were enrolled in this study. The characteristic data were collected, including basic anthropometric indices, lipid parameters, six anthropometric indicators, prostate-specific antigen, and total prostate volume. The odds ratios (ORs) with 95% confidence intervals (95% CIs) for all anthropometric parameters and BPH were calculated using binary logistic regression. To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values, receiver operating characteristic (ROC) curves and the related areas under the curves (AUCs) were utilized. All six indicators had diagnostic value for BPH (all P ≤ 0.001). The visceral adiposity index (VAI; AUC: 0.797, 95% CI: 0.759-0.834) had the highest AUC and therefore the highest diagnostic value. This was followed by the cardiometabolic index (CMI; AUC: 0.792, 95% CI: 0.753-0.831), lipid accumulation product (LAP; AUC: 0.766, 95% CI: 0.723-0.809), waist-to-hip ratio (WHR; AUC: 0.660, 95% CI: 0.609-0.712), waist-to-height ratio (WHtR; AUC: 0.639, 95% CI: 0.587-0.691), and body mass index (BMI; AUC: 0.592, 95% CI: 0.540-0.643). The sensitivity of CMI was the highest (92.1%), and WHtR had the highest specificity of 94.1%. CMI consistently showed the highest OR in the binary logistic regression analysis. BMI, WHtR, WHR, VAI, CMI, and LAP all influence the occurrence of BPH in middle-aged and older men (all P ≤ 0.001), and CMI is the best predictor of BPH.
