Patterns and potential predictors of impaired semen quality: Insights from a retrospective analysis in Al Kharj, Saudi Arabia.

Authors

Mosab A A Alzubier, Tahane Bashir Mohammeddeen Ahmed, Abdulrahman S Binsaleh, Abdulaziz Nasser Alkudam, Talal K Aldawsari, Ghalia Mahfod Aldoseri, Arwa Ibrahim Alwabran, Mohammed Yahya Hanin Alfaifi, Khalid Saad Olayan Almutairi, Abdullah Ali Hussain Awaji

Published in

Urologia. Pages 3915603261485845. Sep 17, 2026. Epub Sep 17, 2026.

Abstract

Abnormal semen parameters are a significant cause of male infertility, influenced by various lifestyle, medical, and environmental factors. This study aimed to evaluate the prevalence of abnormal semen parameters and explore potential associated factors among patients undergoing semen analysis in Al Kharj area of Saudi Arabia.
This retrospective observational study was conducted at Prince Sattam University Hospital, Al Kharj, Kingdom of Saudi Arabia. Medical records of male patients who underwent semen analysis between March 2021 and December 2024 were reviewed. Data on demographics, lifestyle factors, comorbidities, genitourinary history, semen parameters, hormonal profile, and imaging findings were collected and analyzed using Stata 17.
A total of 140 patients were included in the final analysis after excluding 26 with incomplete data. The mean age was 39.9 ± 7.6 years, and the mean BMI was 28.5 ± 4.5 kg/m². Smoking was prevalent in 52.9% of participants, and 17.1% had diabetes or bronchial asthma. Nearly all patients (98.6%) had abnormal semen parameters, with reduced total (mean 38.3%) and progressive motility (mean 17.6%). Azoospermia was observed in one participant. Scrotal ultrasonography, hormonal assessments, and other relevant investigations were variably available.
The prevalence of abnormal semen parameters in this cohort was remarkably high. Several lifestyle and medical factors, including smoking, obesity, and chronic illnesses, may contribute to semen abnormalities. Further prospective studies are warranted to elucidate causal relationships and guide targeted interventions.

PMID:
42755141
Bibliographic data and abstract were imported from PubMed on 18 Sep 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.