Department of Urology, The First People's Hospital of Fuzhou City, Fuzhou, Jiangxi Province, China.
Medicine (Baltimore). 2024 Jun 7;103(23):e38422. doi: 10.1097/MD.0000000000038422.
The purpose of this study is to examine the relationship between fat mass (FM), body fat percentage (BF%), lean body mass (LM), and prostate cancer (PCa), and evaluate their potential impact on the risk of PCa. Data from the National Health and Nutrition Examination Survey (NHANES) of the United States were utilized. Adult male participants from 6 survey cycles between 1999 and 2010 were selected as the study sample. Multivariable logistic regression analysis was conducted to explore the association between BF%, LM, and PCa, while controlling for potential confounding variables. Among the 8440 participants, 359 cases of PCa were diagnosed. The relationship between BF%, LM, and PCa was nonlinear. In the multivariable logistic regression analysis, there was an independent association between BF% and PCa risk (OR: 1.04, 95% CI: 1.02-1.06), suggesting that higher BF% levels are associated with an increased risk of PCa. Conversely, higher LM levels were associated with a decreased risk of PCa (OR: 0.96, 95% CI: 0.95-0.98). The findings of this study demonstrate a correlation between BF% and LM with PCa, but do not provide direct evidence of a causal relationship. Higher BF% levels are associated with an increased risk of PCa, while higher LM levels are associated with a decreased risk. These results provide valuable insights for understanding and potentially preventing PCa, although further research is needed to fully comprehend the underlying mechanisms.
本研究旨在探讨脂肪量（FM）、体脂肪百分比（BF%）、瘦体重（LM）与前列腺癌（PCa）之间的关系，并评估它们对 PCa 风险的潜在影响。本研究数据来自美国国家健康和营养调查（NHANES）。从 1999 年至 2010 年的 6 个调查周期中选取成年男性参与者作为研究样本。采用多变量逻辑回归分析探讨 BF%、LM 与 PCa 之间的关联，并控制潜在的混杂因素。在 8440 名参与者中，诊断出 359 例 PCa。BF%、LM 与 PCa 之间的关系是非线性的。在多变量逻辑回归分析中，BF%与 PCa 风险之间存在独立关联（OR：1.04，95%CI：1.02-1.06），表明较高的 BF%水平与 PCa 风险增加相关。相反，较高的 LM 水平与 PCa 风险降低相关（OR：0.96，95%CI：0.95-0.98）。本研究的结果表明 BF%和 LM 与 PCa 之间存在相关性，但并未提供 BF%和 LM 与 PCa 之间因果关系的直接证据。较高的 BF%水平与 PCa 风险增加相关，而较高的 LM 水平与 PCa 风险降低相关。这些结果为理解和潜在预防 PCa 提供了有价值的见解，尽管需要进一步的研究来充分理解潜在的机制。
