Share:
Peer-Reviewed Publication
Fertil Steril2021;116(3):833-842.September 1, 2021Journal Article

A North American prospective study of depression, psychotropic medication use, and semen quality.

Jennifer J Yland1, Michael L Eisenberg2, Elizabeth E Hatch3, Kenneth J Rothman4, Craig J McKinnon3, Yael I Nillni5, Greg J Sommer6, Tanran R Wang3, Lauren A Wise3
1Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts. Electronic address: yland@bu.edu.
2Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California; Department of Urology, Stanford University School of Medicine, Stanford, California.
3Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.
4Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts; RTI Health Solutions, Research Triangle, North Carolina.
5Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts; National Center for PTSD, Women's Health Sciences Division at VA Boston Healthcare System, Boston, Massachusetts.
6Sandstone Diagnostics, Inc., Pleasanton, California.

Abstract

OBJECTIVE: To evaluate the associations of a history of diagnosed depression, current depressive symptoms, and recent use of psychotropic medications with semen quality and to consider mediation of the association between depression and semen quality by medication use. DESIGN: Prospective cohort study. SETTING: United States. PATIENT(S): The patients were 329 men aged ≥21 years (566 semen sampl…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.