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Systematic Review

Mobile phones affect multiple sperm quality traits: a meta-analysis

[version 1; peer review: 2 approved, 1 approved with reservations]
PUBLISHED 12 Feb 2013
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Abstract

As mobile phone usage is growing rapidly, there is a need for a comprehensive analysis of the literature to inform scientific debates about the adverse effects of mobile phone radiation on sperm quality traits. Therefore, we conducted a meta-analysis of the eligible published research studies on human males of reproductive age. Eleven studies were eligible for this analysis. Based on the meta-analysis, mobile phone use was significantly associated with deterioration in semen quality (Hedges’s g = -0.547; 95% CI: -0.713, -0.382; p < 0.001). The traits particularly affected adversely were sperm concentration, sperm morphology, sperm motility, proportion of non-progressive motile sperm (%), proportion of slow progressive motile sperm (%), and sperm viability. Direct exposure of spermatozoa to mobile phone radiation with in vitro study designs also significantly deteriorated the sperm quality (Hedges’s g = -2.233; 95% CI: -2.758, -1.708; p < 0.001), by reducing straight line velocity, fast progressive motility, Hypo-osmotic swelling (HOS) test score, major axis (µm), minor axis (µm), total sperm motility, perimeter (µm), area (µm2), average path velocity, curvilinear velocity, motile spermatozoa, and  acrosome reacted spermatozoa (%). The strength of evidence for the different outcomes varied from very low to very high. The analysis shows that mobile phone use is possibly associated with a number of deleterious effects on the spermatozoa.

Introduction

Almost 10% of men of reproductive age are estimated to be subfertile1. Owing to its complexity, even after identification of a plethora of underlying factors, etiology in almost half of the infertile subjects tested at fertility clinics remains obscure2. Hence, the list of the causes of male infertility is growing by the day with recent advances in fertility research3. Though advances in assisted reproduction technologies (ARTs), especially in the form of in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI), have helped subfertile couples conceive offspring, it is feared that ARTs only bypasses the problem of subfertility and contributes towards hiding the underlying causes which have at times led to serious health problems in offspring4,5. Hence, identification of unknown aetiologies would help in prescription of specific preventive measures that will ultimately decrease the incidence of male infertility.

Most nations, especially developing countries, are witnessing an increase in the use of various radiation-emitting domestic-purpose devices that could cause mild to serious health problems based on the duration and intensity of usage6, and reduced fertility is now recognised as one such problem7. Wireless mobile phones are one of the most accepted devices with a tremendous increase in usage across the world in recent times8. Research into the impact of ionizing radiation on the development of various types of health disorders, especially cancers, has been well established9. Similarly, several studies have found an increase in the risk of developing some types of tumors after long-term exposure to non-ionizing radiation from mobile phones10. Research into the effects of mobile phone radiation on male fertility, though growing, is limited and inconclusive11,12. Recently, several case-control studies have reported results from a general population setting alongside a few studies from subfertile populations7,1320. Like ionizing radiation, non-ionizing radiation is also expected to affect spermatozoa, though in subtle ways21. The aim of this meta-analysis was, therefore, to investigate the impact of mobile phone radiation on semen parameters in vitro as well as in vivo settings in men of reproductive age from both general and subfertile populations.

Material and methods

A systematic search of an electronic database was conducted to retrieve published studies on the impact of mobile phone radiation on semen parameters in adult men. The results have been reported according to the standards of the guidelines for meta-analysis of observational studies in epidemiology22. All English language research studies published up until January 2012 in scientific journals indexed in the searched databases were included for analysis.

Inclusion/exclusion criteria and outcomes of interest: The studies on human males of reproductive age reporting the effect of mobile phone radiation on any or all measures of semen volume, total sperm count, sperm concentration, sperm motility or sperm morphology were included. All the studies that did not satisfy the inclusion criteria were excluded.

Search strategy, data extraction and meta-analysis: Google Scholar and NLM’s PubMed database were searched for articles by using different combinations of 4 mobile phone related keywords [‘mobile phone’, ‘cellular phone’, ‘radiofrequency electromagnetic waves (RF-EMW)’, ‘radiation’] with 5 sperm quality related keywords (‘spermatozoa’, ‘semen’, ‘sperm concentration’, ‘sperm motility’, ‘sperm morphology’) Data from 11 eligible studies were extracted and separated into in vitro and in vivo categories.

Effect sizes were expressed as Hedges’s g23, separately for in vivo & in vitro studies using individual semen parameters as units of analysis (Supplementary Table 1). A random model was used to test and quantify effect size using ‘Comprehensive Meta-Analysis (v.2)’ trial version24. A random effect model was preferred over a fixed effect model in order to account for differences in both effect size and sampling error25.

Results

In vivo effects of mobile phone radiation

Our analysis shows that overall, mobile phone users had significant deterioration in semen quality (Hedges’s g = -0.547; 95% CI: -0.713, -0.382; p < 0.001). There was significant heterogeneity among effect sizes (Q = 475.985, p < 0.001), which suggest that some of the semen parameters may not be affected by mobile phone exposure. Hence, combined effect-size for each of the semen parameters were calculated separately (Table 1), and it was found that sperm concentration, sperm morphology, sperm motility, proportion of non-progressive motile sperm (%), proportion of slow progressive motile sperm (%), and sperm viability were deteriorated in individuals exposed to mobile phone radiation. By contrast, semen volume, liquefaction time, semen pH, proportion of rapid progressive motile sperm (%), and semen viscosity were not affected by mobile phone usage.

Table 1. Effect sizes of mobile phone radiation on sperm quality traits.

Sample size Hedges’s g p-value
In vivo studies
Semen volume 591 0.09774 0.29458
Sperm concentration 874 -0.66388 0.01858
Sperm morphology 746 -1.28325 0.00000
Sperm motility 1079 -0.81584 0.00102
Proportion of non-progressive motile sperm (%) 283 -0.16136 0.03396
Proportion of rapid progressive motile sperm (%) 283 -0.25708 0.09969
Proportion of slow progressive motile sperm (%) 283 -0.39031 0.00765
Liquefaction time (min) 321 -0.11449 0.28277
pH 321 -0.36681 0.05592
Sperm viability (%) 321 -1.13150 0.00220
Semen viscosity 321 -0.00924 0.93083
In vitro studies
Acrosome reaction (%) 24 -1.69939 0.00000
Sperm area (µm2) 24 -6.79952 0.00004
Average path velocity 20 -8.16777 0.00000
Curvilinear velocity 20 -10.37987 0.00000
DNA fragmentation 32 0.10182 0.68034
Fast progressive motility 49 -0.50794 0.01195
Hypo-osmotic swelling (HOS) 20 1.721867 0.000002
Major axis (µm) 24 -3.62708 0.01918
Minor axis (µm) 24 -7.4825 0.0361
Sperm motility 105 -2.82739 0.00118
Non motile spermatozoa 49 -0.61615 0.03275
Non progressive motility 49 0.04371 0.82612
Perimeter (µm) 24 -5.53132 0.01897
Progressive motility 12 -0.04606 0.90700
Reactive oxygen species (ROS) 36 -11.37087 0.33592
Slow progressive motility 49 -0.14543 0.67535
Sperm concentration 59 -0.02309 0.89887
Sperm zona binding 10 -0.68402 0.12153
Straight line velocity 20 -6.37614 0.00000
Total antioxidant capacity (TAC) 32 -0.25102 0.31138
Viability (%) 56 -2.75116 0.02543

Publication bias could potentially change the results of meta-analysis but analysis of funnel plot of precision by Hedges’s g using Dual and Tweedie’s trim-and-fill test26 did not change the overall effect size, suggesting little bias. Moreover, Rosenthal’s fail-safe N test27 revealed that 3964 missing studies with a mean Hedges’s g of 0 are required for the combined 2-tailed p-value to exceed 0.050. In other words, there need to be 99.1 missing studies for every observed study for the effect to be nullified.

In vitro effects of mobile phone radiation

Experimental exposure of spermatozoa isolated from healthy men of reproductive age to mobile phone radiation significantly affected sperm quality (Hedges’s g = -2.233; 95% CI: -2.758, -1.708; p < 0.001). There was significant heterogeneity among effect sizes (Q = 639.294, p<0.001), suggesting that similar to in vivo exposure, in vitro exposure may also not affect all the parameters of spermatozoa. Hence, combined effect-size for spermatozoa parameters were calculated separately (Table 1), and it was found that exposure to mobile phones significantly reduced straight line velocity, fast progressive motility, Hypo-osmotic swelling (HOS) test score, major axis (µm), minor axis (µm), total sperm motility, perimeter (µm), area (µm2), average path velocity, curvilinear velocity, motile spermatozoa, and acrosome reacted spermatozoa (%). By contrast, DNA fragmentation levels, non-progressive motility, total antioxidant capacity (TAC), progressive motility, reactive oxygen species (ROS) generation, slow progressive motility, sperm concentration, and sperm zona binding was not affected by mobile phone radiation.

A Funnel plot of precision by Hedges’s g using Dual and Tweedie’s trim-and-fill test did not change the overall effect size, suggesting little publication bias. Rosenthal’s fail-safe N test revealed that 3813 missing studies with a mean Hedges’s g of 0 are required for the combined 2-tailed p-value to exceed 0.050. In other words, there need to be 100.3 missing studies for every observed study for the effect to be nullified.

Discussion

This study was aimed to analyse the data assessing the risk of mobile phone radiation on male fertility. Our results suggest that mobile phone radiation has a tendency to significantly affect sperm quality. Based on the design of the analysed records, we divided studies into in vivo studies and in vitro studies. The effect size was significant in both the categories, suggesting that mobile phone radiation could severely compromise male fertility. This conclusion is robust, as a fail-safe test suggested that the results are not likely to be mediated by publication bias.

The number of worldwide mobile subscriptions grew from less than 1 billion in 2000 to over 6 billion in 20128, with more than half of these subscribers estimated to be children and young adults. Hence, it is very likely that in the coming decades, we could witness an increase in the incidence of male infertility due to mobile phone radiation exposure, similar to growing concerns over other hazards. Although the mechanism of cell phone radiation-mediated health defects is still obscure, it is proposed that their ability to produce heat, disrupt cell membranes, affect endothelial function, alter the blood-brain barrier, and modulate neuronal excitability have the potential to affect multiple physiological functions simultaneously2830.

To our knowledge, this is the first meta-analysis of the effects of mobile phone radiations on various sperm quality parameters. Cellular phones have become integral part of everyday life, and newer versions of these are developed very rapidly these days. Hence, it is necessary to educate the users about the hazards of cell phones as well as test the newer versions like smartphones for health hazards.

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Dama MS and Bhat MN. Mobile phones affect multiple sperm quality traits: a meta-analysis [version 1; peer review: 2 approved, 1 approved with reservations] F1000Research 2013, 2:40 (https://doi.org/10.12688/f1000research.2-40.v1)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Current Reviewer Status: ?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 1
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PUBLISHED 12 Feb 2013
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Reviewer Report 25 Mar 2013
Essam- Eldeen M Mohamed, Department of Dermatology and Andrology, Al-Azhar University Hospital, Assiut, Egypt 
Approved
VIEWS 24
I confirm that I have read this submission and believe that I have an ... Continue reading
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Mohamed EEM. Reviewer Report For: Mobile phones affect multiple sperm quality traits: a meta-analysis [version 1; peer review: 2 approved, 1 approved with reservations]. F1000Research 2013, 2:40 (https://doi.org/10.5256/f1000research.862.r861)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 14 Mar 2013
Gary Klinefelter, Gamete and Early Embryo Biology Branch, Reproductive Toxicology Division, United States Environmental Protection Agency, Research Triangle Park, NC, USA 
Approved with Reservations
VIEWS 27
On the surface, the results seem quite striking with virtually any sperm endpoint one can imagine being significantly altered in the collective analysis of mobile phone studies compiled. However, upon looking at the data in the ... Continue reading
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Klinefelter G. Reviewer Report For: Mobile phones affect multiple sperm quality traits: a meta-analysis [version 1; peer review: 2 approved, 1 approved with reservations]. F1000Research 2013, 2:40 (https://doi.org/10.5256/f1000research.862.r808)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 02 Apr 2013
    Madhukar Dama, Institute of Wildlife Veterinary Research, Kodagu District, Karnataka, India
    02 Apr 2013
    Author Response
    We have studied the reviewer comments and would like to justify our results. Our analysis is showing that mobile phone radiations could affect many sperm parameters. This ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 02 Apr 2013
    Madhukar Dama, Institute of Wildlife Veterinary Research, Kodagu District, Karnataka, India
    02 Apr 2013
    Author Response
    We have studied the reviewer comments and would like to justify our results. Our analysis is showing that mobile phone radiations could affect many sperm parameters. This ... Continue reading
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27
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Reviewer Report 19 Feb 2013
Nelson Bennett, Institute of Urology, Lahey Clinic Medical Center, Burlington, MA, USA 
Approved
VIEWS 27
I confirm that I have read this submission and believe that I have an ... Continue reading
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HOW TO CITE THIS REPORT
Bennett N. Reviewer Report For: Mobile phones affect multiple sperm quality traits: a meta-analysis [version 1; peer review: 2 approved, 1 approved with reservations]. F1000Research 2013, 2:40 (https://doi.org/10.5256/f1000research.862.r780)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Version 1
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Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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