Pusan National University scientists reveal links between sperm quality and cell phone use

Cell phones have succeeded in bringing the world closer, making life tolerable during a very trying time. But cellphones also have their downsides. They can have negative effects on health. This is because cell phones emit radiofrequency electromagnetic waves (RF-EMWs), which are absorbed by the body. According to a meta-analysis from 2011, data from previous studies indicate that RF-EMWs emitted by cell phones degrade sperm quality by reducing their motility, viability, and concentration. However, this meta-analysis had a few limitations, as it had low amounts of in vivo data and considered cell phone models that are now outdated.

In an effort to bring more up-to-date results to the table, a team of researchers led by Assistant Professor Yun Hak Kim from Pusan National University, Korea, conducted a new meta-analysis on the potential effects of cell phones on sperm quality. They screened 435 studies and records published between 2012 and 2021 and found 18—covering a total of 4280 samples—that were suitable for the statistical analyses. Their paper was made available online on July 30, 2021 and was published in Volume 202 of Environmental Research in November, 2021.

Overall, the results indicate that cell phone use is indeed associated with reduced sperm motility, viability, and concentration. These findings are more refined than those from the previous meta-analysis thanks to a better subgroup analysis of the data. Another important aspect that the researchers looked into was if higher exposure time to cell phones was correlated to lower sperm quality. However, they found out that the decrease in sperm quality was not significantly related to exposure time—just to exposure to mobile phones itself. Considering the results were consistent across both in vivo and in vitro (cultured sperm) data, Dr. Kim warns that “Male cell-phone users should strive to reduce mobile phone use to protect their sperm quality.”

Knowing that the number of cell phone users is most likely going to increase in the future, it’s high time we start considering exposure to RF-EMW as one of the underlying factors causing a reduction in sperm quality among the male population. Moreover, seeing how technologies evolve so quickly, Dr. Kim remarks that “additional studies will be needed to determine the effect of exposure to EMWs emitted from new mobile phone models in the present digital environment.” The bottom line is, if you’re worried about your fertility (and potentially other aspects of your health), it may be a good idea to limit your daily cell phone use. 

 

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Reference

DOI: https://doi.org/10.1016/j.envres.2021.111784

Authors: Sungjoon Kim¹, Donghyun Han¹, Jiwoo Ryu¹, Kihun Kim²*, and Yun Hak Kim^3,4,5*

Affiliations:        

¹Department of Medicine, School of Medicine, Pusan National University

²Department of Occupational and Environmental Medicine, Kosin University Gospel Hospital

³Department of Anatomy, School of Medicine, Pusan National University

⁴Department of Biomedical Informatics, School of Medicine, Pusan National University

⁵Biomedical Research Institute, Pusan National University Hospital

 

About Pusan National University

Pusan National University, located in Busan, South Korea, was founded in 1946, and is now the no. 1 national university of South Korea in research and educational competency. The multi-campus university also has other smaller campuses in Yangsan, Miryang, and Ami. The university prides itself on the principles of truth, freedom, and service, and has approximately 30,000 students, 1200 professors, and 750 faculty members. The university is composed of 14 colleges (schools) and one independent division, with 103 departments in all.   
Website: https://www.pusan.ac.kr/eng/Main.do

 

About the author

Yun Hak Kim is an Assistant Professor in the Department of Anatomy and Department of Biomedical Informatics, Pusan National University, Yangsan in South Korea. His group focuses on developing new biomarkers for several diseases using genomic big data and validating these biomarkers. They have also developed pipelines for RNA and DNA sequencing analysis, which are essential methods in bioinformatics.

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