ArticleWorld journal of urology2023
Lowering the percent body fat in the obese population might reduce male lower urinary tract symptoms.
Article in World journal of urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 6 citations in OpenAlex.
- Fatty liver and diabetes are related to benign prostate hyperplasia.Hormones (Athens, Greece) · 2026Article
- The relationship between the a body shape index and benign prostatic hyperplasia in middle-aged and elderly adults: a nationwide cohort study.BMC urology · 2025Article
- Predictors and predictive performance of immune-inflammation indices for symptom severity in benign prostatic hyperplasia.Scientific reports · 2025Article
- Association between TyG-BMI and BPH in a national prospective cohort study.Scientific reports · 2025Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to investigate the practicality of percent body fat (PBF), calculated using bioelectrical impedance analysis (BIA), in predicting benign prostatic hyperplasia/lower urinary tract symptoms (BPH/LUTS).
methodsThis study included 844 men who underwent medical checkups at our institution between 2014 and 2022. Demographic characteristics, serum PSA levels, and prostate volume were collected using TRUS. BPH was defined as a prostate volume ≥ 30 cc. Subjects were divided into two groups according to their quartiles of PBF: the normal PBF group (first to third quartile; PBF < 27.9%) and the high PBF group (fourth quartile; PBF ≥ 27.9%). Characteristics between the groups were compared using the chi-square test and Student's t-test. Multivariate logistic regression analysis was performed to evaluate risk factors for BPH and severe LUTS.
resultsThe prostate volume (25.21 ± 8.4 vs 27.30 ± 9.0, p = 0.005) and percentage of BPH (22.9% vs. 32.1%, p = 0.007) were greater in the high PBF group. After multivariate analysis, old age (OR = 1.066, p < 0.001), higher appendicular skeletal muscle mass index (ASMI) (OR = 1.544, p = 0.001), and PBF ≥ 27.9% (OR = 1.455, p = 0.037) were risk factors for BPH. Larger prostate volume (OR = 1.035, p = 0.002) and PBF ≥ 27.9% (OR = 1.715, p = 0.025) were risk factors for severe LUTS. However, a greater ASMI had a protective effect against severe LUTS (OR = 0.654, p = 0.011).
conclusionsThis study shows that PBF and ASMI are useful for predicting BPH/LUTS. We suggest that lowering PBF to the normal range in a population with high PBF might prevent BPH, while lowering PBF and maintaining adequate ASMI could lower LUTS.
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