Scott Malik, Rodriguez Anaelena, Marciano Orry, Nordgren Rachel, Lundy Scott D, Raheem Omer A
University of Chicago Pritzker School of Medicine, Chicago, IL 60637, USA.
University of Chicago Department of Public Health Sciences, Chicago, IL 60637, USA.
Asian J Androl. 2025 Jul 1;27(4):464-469. doi: 10.4103/aja2024108. Epub 2025 Mar 7.
This study was to survey the relationship between semen values and demographics, comorbidities, and recreational substance use in a large cohort of adult men at the University of Chicago Medical Center Department of Urology (Chicago, IL, USA). We performed an analysis from January 2013 to December 2023 of semen samples obtained from adult patients at our institution and collected their demographics, comorbid medical conditions, and recreational substance use information. Patients were divided into categories of normozoospermia, oligozoospermia, and azoospermia on the basis of the 5 th version of the World Health Organization (WHO) guidelines. Data were analyzed by univariate linear and logistic regression models, after which statistically significant variables were placed into multivariable models. Azoospermia and oligozoospermia were both associated with Caucasian or Black, Indigenous, and People of Color (BIPOC) race (both P < 0.001), increasing age ( P = 0.005 and P < 0.001, respectively), anemia ( P < 0.001 and P = 0.02, respectively), lifetime tobacco use (both P < 0.001), lifetime alcohol use ( P = 0.02 and P < 0.001, respectively), and lifetime use of at least two recreational substances ( P < 0.001 and P = 0.003, respectively) in multivariable models. Oligospermia was additionally associated with benign prostatic hyperplasia (BPH; P = 0.003) in multivariable models. This study suggests that at-risk populations may benefit from additional early screening and workup for infertility.
本研究旨在调查美国伊利诺伊州芝加哥大学医学中心泌尿外科一大群成年男性的精液指标与人口统计学、合并症及娱乐性药物使用之间的关系。我们对2013年1月至2023年12月期间从本机构成年患者获取的精液样本进行了分析,并收集了他们的人口统计学信息、合并的医疗状况以及娱乐性药物使用信息。根据世界卫生组织(WHO)第5版指南,将患者分为正常精子症、少精子症和无精子症类别。数据通过单变量线性和逻辑回归模型进行分析,之后将具有统计学意义的变量纳入多变量模型。在多变量模型中,无精子症和少精子症均与白种人或非裔、原住民及有色人种(BIPOC)种族相关(均P < 0.001),年龄增长(分别为P = 0.005和P < 0.001)、贫血(分别为P < 0.001和P = 0.02)、终生吸烟(均P < 0.001)、终生饮酒(分别为P = 0.02和P < 0.001)以及终生使用至少两种娱乐性药物(分别为P < 0.001和P = 0.003)有关。在多变量模型中,少精子症还与良性前列腺增生(BPH;P = 0.003)有关。本研究表明,高危人群可能会从额外的早期不孕症筛查和检查中受益。