A 10-year longitudinal analysis of the impact of demographic, lifestyle, and medical factors on semen qualities in men in a city in the midwestern region of the United States of America.

Malik Scott, Anaelena Rodriguez, Orry Marciano, Rachel Nordgren, Scott D Lundy, Omer A Raheem
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Abstract

Abstract: 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 5th 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.

美国中西部地区某城市人口、生活方式和医学因素对男性精液质量影响的10年纵向分析。
摘要:本研究旨在调查芝加哥大学医学中心泌尿外科(Chicago, IL, USA)成年男性的精液值与人口统计学、合并症和娱乐性物质使用之间的关系。我们对2013年1月至2023年12月在我们机构获得的成年患者精液样本进行了分析,并收集了他们的人口统计数据、合并症医疗条件和娱乐性物质使用信息。根据世界卫生组织(WHO)第五版指南,将患者分为无精子症、少精子症和无精子症三类。采用单变量线性和逻辑回归模型对数据进行分析,然后将有统计学意义的变量放入多变量模型中。精子缺乏和症都与白人或黑人,土著,有色人种(BIPOC)竞赛(P < 0.001),年龄增加(P = 0.005, P < 0.001,分别)、贫血(P < 0.001, P = 0.02),终身使用烟草(P < 0.001),终身使用酒精(P = 0.02, P < 0.001,分别),终身使用至少两个休闲物质(分别P < 0.001和P = 0.003,在多变量模型中)。少精子症还与良性前列腺增生(BPH;P = 0.003)。这项研究表明,高危人群可能受益于额外的早期筛查和不孕症检查。
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