Review Article |
Corresponding author: Syah Mirsya Warli ( warli@usu.ac.id ) Academic editor: Valentina Petkova
© 2024 Ryan Ramon, Syah Mirsya Warli, Nur Rasyid, Widi Atmoko.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Ramon R, Warli SM, Rasyid N, Atmoko W (2024) Effect of tobacco smoking and alcohol consumption on semen quality and hormone reproductive levels in infertile males: A systematic review and meta analysis. Pharmacia 71: 1-14. https://doi.org/10.3897/pharmacia.71.e113854
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Aim: This study compared semen quality, FSH, LH, and Testosterone levels in infertile males among smokers and non-smokers and semen quality among alcoholics and non alcoholics.
Methods: A literature search was conducted across five databases in December 2021. The search for this article uses specific keywords tailored to each search database’s specifications.
Results: A total of 15 studies with 12,503 infertile male participants included in this study. 8,025 were non-smokers, 4,477 were smokers, 210 were alcoholics and 407 were non alcoholics. The effect of tobacco smoking on sperm were more significant in smokers than in non-smokers. Alcohol consumption affects the quality and quantity of semen. Both tobacco smoking and alcohol consumption combined may amplify their negative effects toward semen parameters.
Conclusion: Smoking and alcohol has a detrimental impact on conventional semen characteristics. Due to the harmful effects of both factors, men seeking reproduction should be advised to avoid these habits.
Tobacco smoking, alcohol consumption, semen quality, infertile male, reproductive hormones
Infertility refers to the incapacity of a sexually active couple who do not use contraception to naturally conceive a child within a year, where it can be primary, meaning no previous pregnancies; or secondary, meaning previous successful conceptions but subsequent difficulties. (
In 30–40% of cases, the cause of male infertility remains unknown (idiopathic male infertility), although semen analysis may show abnormalities in the sperm quality (
The impact factors on semen quality is still a matter of debate. Therefore, our aim was to assess semen parameters in both individuals who smoke and those who do not, and to examine the impact of tobacco smoking on semen quality, as well as the levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and testosterone in males experiencing infertility.
The review was done based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. This study aims to analyze the effect of tobacco smoking and alcohol consumption on semen quality in infertile male, so the Patient Interventions Comparisons Outcomes (PICO) used in this systematic review were:
Patients : Infertile male
Interventions : Tobacco smoking and alcohol consumption
Comparisons : -
Outcomes : Semen quality, FSH, LH, Testosteron
Inclusion criteria in this systematic review were:
Type of studies
We selected observational studies that measured semen parameters in smokers and non-smokers as well as alcoholics and non alcoholics and reported the following outcomes: semen parameters, sperm morphology, types of structural abnormalities, and hormones related to male reproductive function. The studies had to be fully available (full-text), published within the last decade, and written in English.
Type of participants
The characteristics of participants in the studies included were infertile male participants, who came to the hospital and performed sperm quality checks. Participants were active smokers for at least one year or alcoholics. Age, gender, ethnic, and race were not considered in this study.
Type of outcomes measure
The outcomes of interest in the studies were the total number of cases with oligozoospermia; asthenozoospermia; teratozoospermia; tail, neck, or head defects; sperm morphology defects; testosterone levels; FSH levels; and LH levels.
The following types of studies were excluded from this systematic review:
The search was conducted in December 2021. A literature search in this study used three databases (PubMed/MEDLINE database, Taylor & Francis Online, and ProQuest. The search for this article used specific keywords that were tailored to the specifications of each search database. The keywords used in the investigation were tailored to PICO and used meSH, free text, and title/abstract terminology. Keywords used in literature searching are as follows (Table
Database | Keywords | Hit | Selected | Comments |
---|---|---|---|---|
PubMed | ((((infertile male* [MeSH Terms]) OR (infertility[MeSH Terms])) OR (male infertility[MeSH Terms])) AND ((((((smoking[MeSH Terms]) OR (cigarette*[MeSH Terms])) OR (cigarette smoking[MeSH Terms])) OR (tobacco[MeSH Terms])) OR (nicotine[MeSH Terms])) OR (tobacco smoking*[MeSH Terms]))) AND ((((((((((((((semen quality) OR (semen analysis[MeSH Terms])) OR (sperma[MeSH Terms])) OR (semen[MeSH Terms])) OR (analyses, semen quality[MeSH Terms])) OR (sperm morphology[MeSH Terms])) OR (sperm motility[MeSH Terms])) OR (sperm count[MeSH Terms])) OR (oligozoospermia[MeSH Terms])) OR (asthenozoospermia[MeSH Terms])) OR (teratozoospermia[MeSH Terms])) OR (FSH[MeSH Terms])) OR (LH[MeSH Terms])) OR (testosterone[MeSH Terms])) | 269 | 10 | 52 not match PICO 1 articles written in Turkey 6 article duplication 12 full text unavailable 180 articles more than 10 years publication 2 article, which participants fertile male 2 article sample is rat 2 article review |
ProQuest | ab((infertile male OR infertility OR male infertility)) AND ab((smoking OR cigarette* OR tobacco OR nicotine OR tobacco smoking)) AND ab((semen quality OR semen OR sperm quality OR sperm OR sperm morphology OR sperm count OR sperm motility OR oligozoospermia OR asthenozoospermia OR teratozoospermia OR azoospermia OR testosterone OR FSH OR LH)) | 74 | 2 | 38 not match PICO 1 articles written in French 3 article duplication 15 full text unavailable 13 articles more than ten years publication 2 article sample is rat |
Taylor & Francis Online | [Abstract: infertile] AND [[Abstract: male] OR [Abstract: infertility] OR [Abstract: male]] AND [Abstract: infertility] AND [[Abstract: smoking] OR [Abstract: cigarette*] OR [Abstract: tobacco] OR [Abstract: nicotine] OR [Abstract: tobacco]] AND [Abstract: smoking] AND [Abstract: semen] AND [[Abstract: quality] OR [Abstract: semen] OR [Abstract: sperm]] AND [[Abstract: quality] OR [Abstract: sperm] OR [Abstract: sperm]] AND [[Abstract: morphology] OR [Abstract: sperm]] AND [[Abstract: count] OR [Abstract: sperm]] AND [[Abstract: motility] OR [Abstract: oligozoospermia] OR [Abstract: asthenozoospermia] OR [Abstract: teratozoospermia] OR [Abstract: azoospermia] OR [Abstract: testosterone] OR [Abstract: fsh] OR [Abstract: lh]] | 11 | 2 | 3 not match PICO 1 full text unavailable 5 articles more than ten years publication |
We used the Mendeley application version 1.19.8 to identify and remove duplicate articles. Two authors independently and in duplication performed the eligibility assessment of all obtained studies. They screened the title and abstract of each remaining study in the initial stages. Then, all authors conducted a full-text evaluation of the remaining articles and categorized them into included, excluded, and ongoing studies or studies awaiting classification. We resolved any discrepancies by discussion. We reported the reasons for excluding some studies after the final assessment. The selection stage of this study followed the PRISMA checklist and flow diagram (
Two authors conducted assessment of the quality of the studies included then independently assessed the risk of bias for observational studies based on The Joanna Briggs Institute (
All data extraction results were analyzed with narrative analysis. A meta-analysis was conducted on relevant studies using the Review Manager v5.4 software. We used the random effects model. The results were visually represented through a forest plot along with a 95% confidence interval (CI). To gauge the level of homogeneity, the I2 statistic was employed, where 30% to 60% indicated moderate heterogeneity, 50% to 90% signified substantial heterogeneity, and 75% to 100% indicated significant heterogeneity. We considered statistical significance to be present when the P-value was less than 0.05.
The literature search identified 357 relevant articles through online databases (269 articles from PubMed database, 74 articles from ProQuest database, and 11 articles from Taylor & Francis Online database; and 3 article found by checking reference lists to identify relevant studies From this set of pieces, 9 articles were excluded because of duplicates. After screening a proper assessment of title and abstract, we excluded 318 articles because 194 articles were published more than ten years ago and two articles were written in languages other than English (French, Turkey); 93 articles were excluded because they did not match with our PICO or the articles did not analyze the endpoints. We also excluded 31 articles because their full-texts were unavailable. Thirty full-text articles were assessed for eligibility, and the articles were excluded based on the inclusion and exclusion criteria. We excluded 15 articles from this analysis for various reasons: 2 had fertile men as participants, 3 used rats as subjects, 2 were review articles, and 8 did not report relevant endpoints for our research question. We included 15 studies that met all our inclusion and exclusion criteria in this narrative analysis. Fig.
In this study, two authors independently assessed the quality of the studies using the assessment risk of bias in observational articles based on The Joanna Briggs Institute (
Question | Al-Turki et al. 2014 | Anane et al. 2016 | Brucker et al. 2020 | Caserta et al. 2012 |
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Jain et al. 2015 |
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Mitra at al. 2013 | Mostafa et al. 2017 | Zhang et al. 2013 | Zhang et al. 2015 |
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Keskin et al. 2015 |
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Were the criteria for inclusion in the sample clearly defined? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes |
Were the study subjects and the setting described in detail? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | Yes | Yes |
Were the two groups similar and recruited from the same population? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Were the exposures measured similarly to assign people to both exposed and unexposed groups? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Was the exposure measured in a valid and reliable way? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Were objective, standard criteria used for measurement of the condition? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Were confounding factors identified? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes |
Were strategies to deal with confounding factors stated? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes |
Were the groups/participants free of the outcome at the start of the study (or at the moment of exposure)? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Were the outcomes measured in a valid and reliable way? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Was the follow up time reported and sufficient to be long enough for outcomes to occur? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Was follow up complete, and if not, were the reasons to loss to follow up described and explored? | Unclear | No | Unclear | No | Yes | No | Unclear | Unclear | No | Yes | Unclear | Unclear | Unclear | Unclear | Unclear |
Were strategies to address incomplete follow up utilized? | Unclear | No | Unclear | No | Yes | No | Unclear | Unclear | No | Yes | Unclear | Unclear | Unclear | Unclear | Unclear |
Was appropriate statistical analysis used? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | YA | Ya | Yes | Yes | Yes | Yes | Yes | Yes |
Quality Study | Good Quality | Good Quality | Good Quality | Good Quality | Good Quality | Good Quality | Good Quality | Good Quality | Good Quality | Good Quality | Good Quality | Moderate Quality | Good Quality | Good Quality | Good quality |
A total of 15 studies (Table
Studies | Study Design | Years of patient’s enrollment | No. of infertile | No. of infertile | Age (years) S/NS | Endpoint | Outcome | Study Quality | ||
---|---|---|---|---|---|---|---|---|---|---|
Smokers | Non Smokers | Alcoholics | Non Alcoholics | |||||||
Al-Turki et al. (2014)17 | Retrospective | 2010–2012 | 90 | 168 | – | – | 34.2/34.1 | Testosterone level, FSH level, LH level | Reduced hormonal levels and semen parameters in smokers than non smokers | Good Quality |
Anane et al. (2016)15 | Cross Sectional | 2010–2011 | 95 | 45 | – | – | 35,0/37,3 | Oligozoospermia, Asthenozoospermia, Teratozoospermia | Reduced semen volume, sperm viability, sperm motility, sperm morphology and concentration in smokers than non nonsmokers | Good Quality |
Brucker et al (2020)18 | Retrospective | 2010–2017 | 586 | 4.560 | – | – | 35,99/36,45 | Testosterone level, FSH level, LH level | Reduced sperm concentration in smokers than non smokers. Semen volume, sperm motility, sperm vitality and sperm morphology not influenced in smoking | Good Quality |
Caserta et al. (2012)16 | Cross Sectional | 2006–2011 | 200 | 448 | – | – | 38,3/38,5 | Oligozoospermia, asthenozoospermia, teratozoospermia, FSH level, LH level | Lower count and motility in smokers than nonsmokers. No correlation between sperm parameters and smoking intensity | Good Quality |
Cui et a.l (2016)7 | Prospective | 2013–2015 | 920 | 298 | – | – | – | Abnormal sperm head, abnormal sperm body, abnormal sperm tail | Abnormal head rete in the heavy smoking group and long-term smoking group were significantly | Good Quality |
|
Cross Sectional | 2011–2012 | 100 | 100 | – | – | – | Semen parameter: sperm concentration, motility, semen volume, normal morphology | Reduced sperm count, motility and morphology in smokers than non smokers | Good Quality |
Jain et al. (2015)20 | Retrospective | Jan–May 2015 | 118 | 211 | – | – | 35,51/34,89 | Abnormal morphology | Reduced progressive motility and concentration sperm in smokers than non smokers. Abnormal morphology in smokers more than non smokers | Good Quality |
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Retrospective | 2010–2011 | 396 | 564 | – | – | 34,35/36,45 | Abnormal morphology | Reduced motility and morphology in smokers compared with nonsmokers. Lower count, motility, and morphology in heavy smokers compared with non– heavy smokers | Good Quality |
|
Cross Sectional | – | 178 | 126 | – | – | 40/35 | Asthenozoospermia (reduced motility), oligozoospermia (low sperm count), teratozoospermia (sperm with abnormal morphology), azoospermia (no sperm count), immotility, sperm head defect, sperm tail defect | Lower sperm motility, reduced morphology, lower DNA integrity, higher FSH and LH levels, and decreased testosterone levels in smokers compared with nonsmokers | Good Quality |
|
Prospective | Apr–Des 2014 | 50 | 45 | – | – | 30,8/29,7 | Semen parameter: sperm concentration, motility, semen volume, abnormal morphology | Reduced total motility, viability and count of sperm in smokers than non smokers | Good Quality |
Zhang et al. (2013)23 | Retrospective | 2007–2010 | 737 | 775 | – | – | 29.6/29.9 | Semen pH, sperm head defects, sperm neck defect, sperm tail defect | Lower volume, progressive motility, viability, and morphology, and higher number of leukocytes in smokers than nonsmokers. Dose-response correlation between morphology and amount of smoking | Good Quality |
Zhang et al. (2015)11 | Retrospective | 2013–2014 | 704 | 372 | – | – | 29.9/30.4 | FSH level, LH level, testosterone level | Lower sperm viability and motility in smokers than nonsmokers. | Moderate Quality |
|
Cross sectional | 109 | 98 | 83 | 124 | 37.43 + 0.3 | Semen parameter: sperm concentration, volume, progressive motility, non progressive motility, immotility, small halos, no halos, degenerative spermatozoa, sperm DNA fragmentation | Semen volume, the proportion of degenerated spermatozoa, and sperm DNA fragmentation (SDF) exhibited notable correlations with different smoking statuses. Conversely, the percentage of spermatozoa with small halos showed a significant correlation with alcohol consumption. Additionally, the smoking habits of the individuals were linked to their alcohol consumption patterns. | Good Quality | |
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Cross sectional | Oct 2012–Feb 2014 | 10 | 43 | 27 | 27 | 34.9/35 | LH level, FSH level, serum total testosterone, serum free testosterone, semen volume, normal sperm morphology, sperm count, progressive sperm motility, motile sperm count, computer-assisted semen analysis (linear velocity, curvilinear velocity, linearity, ALH, beat/cross frequency), high-magnification microscopy (proportion of vacuolated sperm), sperm DNA fragmentation index | The Sperm DNA Fragmentation Index (SDFI) measured at 41.3% ± 22.2% (mean ± standard deviation) was consistent across various infertility causes. However, chronic alcohol consumption elevated the SDFI to 49.6% ± 23.3%, whereas it remained at 33.9% ± 18.0% among nondrinkers. The SDFI was linked to unfavorable traditional semen parameters and sperm motility traits, and it also showed a correlation with serum FSH levels. Moreover, there was an inclination for the Sperm Nuclear Vacuolation (SNV) to increase in tandem with the SDFI. In a multivariate analysis, it was evident that sperm progressive motility and chronic alcohol use emerged as significant predictors of SDFI. | Good Quality |
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Prospective | January–March 2015 | 184 | 172 | 100 | 256 | 33.04 + 5.43 | Semen parameter: volume, concentration, total motility, progressive motility, normal morphology, head anomaly, neck anomaly, tail anomaly | In relation to cigarette usage, it was observed that only in group 4 (comprising individuals with over 20 pack-years of cigarette use) did semen volume exhibit a significant decrease compared to the control group (determined by Mann-Whitney U test, p = 0.009). No noteworthy differences were found in any other parameters or groups when compared to the control group (Mann-Whitney U test, p > 0.05). | Good Quality |
We included cross-sectional, retrospective, and prospective studies that enrolled participants from 2007 to 2017. We also excluded participants who had confounding factors that could affect male infertility, such as systemic diseases (e.g., diabetes, hypertension, thyroid disorders, cancer, or tuberculosis); current or recent smoking (less than six months); occupational exposure to chemicals; history of orchitis, prostatitis, or external genital abnormalities; varicocele grade 2–3; cryptorchidism or its surgery; previous surgery for inguinal hernia, orchidopexy, or any scrotal procedure; abnormal karyotype or Y chromosome microdeletions (Table
Other characteristics and criteria exclusion of participants each study.
Studies | Type of Infertility | Exclusion of Participants | Alcohol Consumption | Patients Identification | Assessment of infertile |
---|---|---|---|---|---|
Al-Turki et al. (2014)17 | Primary and secondary infertility | Patients with azoospermia | Alcohol consumption was controlled | Infertility clinic | History, physical examination, USG, and semen analysis |
Anane et al. (2016)15 | Primary infertility | Patients with varicocele, history of testes injury, occupational exposure and use of pesticides, subjects with a history of chronic urinary tract infection, subjects with disorders such as diabetes mellitus, hypertension and coronary heart diseases. | Not specified | Infertility clinic | History, physical examination, USG, and semen analysis |
Brucker et al (2020)18 | Primary infertility | patients with azoospermia, ex-smokers, history of secondary infertility, alcohol abuse, varicocele/hydrocele, postvasectomy reconstructive surgery, injury to the testes or chronic diseases (such as diabetes, tuberculosis, hypertension, thyroid disease,chronic urinary tract infection). | Not specified | Infertility clinic | History, physical examination, USG, and semen analysis |
Caserta et al.16 (2012) | Primary infertility | Patients with azoospermia, orchitis or prostatitis, grade 2 or 3 varicocele, undescended testes or its surgery, altered karyotype |
Not specified | Infertility clinic | History, physical examination, USG, and assessment of hormonal and semen parameters |
|
Primary infertility | Cryptorchidism, varicocele, infections, anti-sperm antibodies, chromosomal abnormalities | Not specified | Infertility clinic | history was obtained from each subject to exclude systemic diseases and assess alcohol assumption; careful physical examination was performed, with measurement of testicular size to exclude abnormalities of the external genitalia and cryptorchidism; ultrasonographic examination was performed to exclude varicoceles; microbiological examination and spermioculture were performed to exclude infections; an immunobead binding test was performed to exclude the presence of anti-sperm antibodies; karyotyping was used to exclude any chromosomal abnormality; and genetic examination was performed to exclude Y chromosome microdeletions and cystic fibrosis gene mutations. |
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Primary infertility | Patients suffering from secondary infertility, Persons with occupation near hot furnace and workers of chemical industries, Persons with history of infections, drug addiction and previous history of operation on genitourinary track | Not specified | Infertility clinic | History, physical examination, USG, and semen analysis |
Jain et al. (2015)20 | Primary infertility | patients with a history of sexual transmitted diseases, surgery for an inguinal hernia, orchidopexy or any scrotal surgery. Male patients with chronic medical illness (renal, liver, hypertension, diabetes mellitus, etc.) and with abnormal genital examination (hydrocele, varicocele, and ectopic testes) | Not specified | Infertility clinic | History, physical examination, USG, and semen analysis |
|
Primary infertility | males with abnormal genital examination (varicocele, undefended testicles, hydrocele, small sized testes);males with azospermia; males with history of mumps; d) males with history of surgery for inguinal hernia, orchidopexy, or any scrotal surgery; e) males with chronic medical illness (diabetes mellitus, hypertension, thyroid disease, cancer patients, and tuberculosis; and males who quit smoking for a period of less than 6 months. | No | Infertility clinic | History, physical examination, USG, and semen analysis |
|
Not specified | Pathology of chronic diseases | Not specified | Infertility clinic | History, physical examination, USG, and semen analysis |
Mostafa et al21 (2018) | Primary infertility | patients with a history of recreational drug use (i.e., marijuana use and/or narcotic agents), shisha smoking, chronic alcohol consumption (including social drinking), medication use (affecting male fertility), chronic illnesses or genitourethral surgery, azoospermia, severe oligozoospermia (sperm count less than 5 millions), leukocytospermia, hemospermia, chronic urinary tract infection, older than 45 years of age, obese (BMI ≥30) or who had occupational exposure to chemicals, insecticides or excessive hea | No | Infertility clinic | History, physical examination, USG, and semen analysis |
Zhang et al. (2013)23 | Primary infertility | Azoospermia, excessive alcohol intake, hallucinatory drugs, serious systemic disease, abnormality of the external genitalia, known family genital disorders, infection or trauma to genitals | No | Infertility clinic | History, physical examination, USG, and semen analysis |
Zhang et al. (2015)11 | Not specified | Not specified | Not specified | Infertility clinic | History, physical examination, USG, and semen analysis |
|
Not specified | Not specified | Subjects were classified into 3 groups based on their alcohol intake: no alcohol users, moderate alcohol users (>0 to <7 units/week), heavy alcohol users (>7 units/week) | IVF unit | History, physical examination, semen analysis, sperm chromatin dispersion assay |
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Not specified | Patients who showed a sperm count less than 5 million/mL were excluded. | Subjects were classified into 2 groups: patients with and without chronic alcohol use (the consumption of ≥350 mL of beer per week or a corresponding amount of other alcoholic-containing drinks) | Infertility unit | History taking, physical examinations, conventional semen analysis, computer-assisted semen analysis by the SMAS, high-magnification observation of the sperm heads, and sperm DNA integrity testing during the evaluation for male infertility |
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Not specified | Patients factors potentially impacting semen parameters, such as systemic illnesses, medication use, a history of inguinal or testicular surgery, varicocele, undescended testicles, small testicle size upon physical examination, abnormalities in serum gonadotropin, androgen, and prolactin levels, as well as genetic analysis-related issues; patients with a cigarette use history of 1 package-year or more and those who had never smoked; patients with alcohol consumption rates exceeding 1 unit every 3 months and those who abstained from alcohol. Excluded were patients with alcohol use rates less than 1 unit every 3 months. | Patients were divided into 5 groups according to alcohol use: patients who do not use alcohol were determined as group 0 (control), patients who use alcohol 1 unit/3 months were determined as group 1; patients who use alcohol 1 unit/month were determined as group 2; patients who use alcohol 1 unit/week were determined as group 3 (n = 3); patients who use alcohol 1 unit/day were determined as group 4 (n = 19) | Hospital urology polyclinic | History taking, physical examinations, semen analysis |
Table
Percentage of Oligozoospermia, Teratozoospermia, Asthenozoospermia in patient smoker and non-smokers.
Oligozoospermia | |||
Study | Smokers (%) | Non- smokers (%) | p-value |
Anane et al. (2016) | 27.8 | 11.1 | 0.00047 |
Caserta et al. (2012) | 34 (17%) | 45 (10.3%) | 0.02 |
Mitra et al. (2013) | 22 (12.36%) | 11 (8.73%) | 0.000 |
Teratozoospermia | |||
Study | Smokers (%) | Non- smokers (%) | p-value |
Anane et al. (2016) | 76.0 | 39.8 | 0.0003 |
Caserta et al. (2012) | 7 (3.5%) | 9 (2%) | 0.26 |
Mitra et al. (2013) | 40 (22.47%) | 24 (19.05%) | 0.000 |
Asthenozoospermia | |||
Study | Smokers (%) | Non- smokers (%) | p value |
Anane et al. (2016) | 57.4 | 24.4 | 0.0010 |
Caserta et al. (2012) | 99 (49.5%) | 194 (43.3%) | 0.14 |
Mitra et al. (2013) | 15 (8.4%) | 5 (3.96%) | 0.000 |
As shown in Table
Results of the three studies show that asthenozoospermia in smokers is higher than in non-smokers, but the p-value in a study by
Table
Abnormal form | |||
Study | Smokers (%) | Non- smokers (%) | p value |
Jain et al. (2012) | 72 ± 7.51 | 56 ± 6.45 | 0.001 |
|
73.0% | 69.7% | <0.005 |
Head defect | |||
Study | Smokers (%) | Non- smokers (%) | p value |
|
88.38 ± 15.11 | 82.5 ± 11.66 | >0.05 |
Mitra et al. (2013) | 16.3% | 9.52% | 0.000 |
Zhang et al. (2013) | 88.32 ± 4.3 | 87.81 ± 3.78 | 0.016 |
|
44.61 ± 3.02 | 42.50 ± 3.05 | >0.05 |
Neck defect | |||
Study | Smokers (%) | Non- smokers (%) | p value |
|
49.32 ± 14.43 | 41.38 ± 8.58 | >0.05 |
Zhang et al. (2013) | 2.15 ± 2.02 | 2.34 ± 2.29 | 0.222 |
|
4.87 ± 0.36 | 5.43 ± 0.41 | >0.05 |
Tail defect | |||
Study | Smokers (%) | Non- smokers (%) | p value |
|
11.64 ± 12.77 | 6.23 ± 7.19 | >0.05 |
Mitra et al. (2013) | 8.98% | 8.7% | 0.000 |
Zhang et al. (2013) | 2.3 ± 2.21 | 2.24 ± 1.71 | 0.114 |
|
3.54 ± 0.27 | 3.80 ± 0.31 | >0.05 |
The above studies in Table
Testosterone | |||
Study | Smokers | Non- smokers | p value |
Al-Turki et al. (2015) | 383.8 ± 239.5 | 422.5 ± 139.2 | 0.009 |
Brucker et al. (2012) | 4.37 ± 1.79 | 4.25 ± 1.60 | >0.05 |
FSH | |||
Study | Smokers | Non- smokers | p value |
Al-Turki et al. (2016) | 5.39 ± 5.32 | 5.98 ± 5.93 | 0.34 |
Brucker et al. (2012) | 6.44 ± 6.72 | 5.43 ± 5.37 | <0.001 |
LH | |||
Study | Smokers | Non- smokers | p value |
Al-Turki et al. (2016) | 4.07 ± 4.35 | 4.77 ± 3.27 | 0.04 |
Brucker et al. (2012) | 4.90 ± 2.64 | 4.59 ± 1.60 | >0.05 |
Table
Volume | |||
Study | Alcoholics | Non-alcoholics | p value |
|
3.07 ± 0.19 | 3.57 ± 0.1 | <0.05 |
|
3.016 ± 1.59 | 2.94 ± 1.51 | >0.05 |
Concentration | |||
Study | Alcoholics | Non-alcoholics | p value |
|
37.63 ± 5.77 | 40.06 ± 3.4 | >0.05 |
|
32.56 ± 31.84 | 37.51 ± 38.68 | >0.05 |
Sperm DNA Fragmentation | |||
Study | Alcoholics | Non-alcoholics | p value |
|
38.13 ± 1.97 | 37.51 ± 1.1 | >0.05 |
|
49.6 ± 23.3 | 33.9 ± 18.0 | 0.0084 |
Our meta-analysis found that alcohol use was insignificantly related to a decrease in sperm concentration with a mean difference of -2.51 [-3.86, -1.15] (Fig.
Infertility can be influenced by a multitude of factors, encompassing congenital or acquired anomalies in the urogenital system, urogenital tract infections, conditions raising scrotal temperature (such as varicocele), endocrine irregularities, genetic variations, immunological aspects, and lifestyle choices. Interestingly, in 30–40% of instances, the cause of male infertility remains unidentified, termed idiopathic male infertility (
We found that conventional semen parameters were adversely affected by tobacco smoking. Smokers had a significantly higher prevalence of oligozoospermia, teratozoospermia, and asthenozoospermia than non-smokers. This is consistent with the study by Anane et al. (2016), who reported that the proportions of oligozoospermia (27.8% vs 11.1%, p = 0.00047) and teratozoospermia (76.0% vs 39.8%, p = 0.0010) were higher in smokers than non-smokers. Tobacco smoking also impaired sperm motility (asthenozoospermia) and we observed a significant difference between the two groups. A previous meta-analysis by
Smoking can affect the morphology of spermatozoa, causing defects in the head, neck, and tail regions. In this study, smokers had significantly higher head defects with a mean difference of 2.66 [0.57, 4.74], neck defects with a mean difference of 1.95 [0.46, 3.45], and tail defects with a mean difference of 1.30 [0.28, 2.32] than non-smokers.
How smoking affects semen parameters is not fully elucidated, but cigarette-derived chemical compounds have detrimental effects on the maturation of male germ cells, Leydig cells, and Sertoli cells. Nicotine adversely affected sperm morphology and sperm count, and seminal cotinine impaired sperm motility (
Smokers had low-quality sperm shape in the study. Heavy metals in cigarettes lead to high levels of oxidative stress. This can damage the membrane and cause shape defects. Heavy metals can also harm DNA during sperm formation, which can affect the normal development of sperm structure. Previous studies found that DNA damage was higher in regular smokers. Previous studies also have shown that heavy metals can cause DNA damage and prevent DNA repair. When DNA is damaged, the Chk1 is activated and stops or delays the cell cycle at S and G2 phases, and it may help the cells survive when agents damage DNA. The Chk1 activates other molecules to start a cellular response that involves changing gene expression, energy use, cell cycle or DNA repair, or killing the cell if the damage is too much to fix (
One of the sources of reactive oxygen species (ROS) such as hydroxyl radical (HO), superoxide radical (O2), or hydrogen peroxide (H2O2) is cigarette smoke, which contains heavy metals like lead and cadmium. When the ROS levels surpass the antioxidant capacity of the cells, oxidative stress occurs (18). The sperm membrane and the sperm DNA are susceptible to oxidative stress damage. The seminal plasma may have low antioxidant levels or high oxidant levels from the smoke, resulting in oxidative stress. Additionally, smoking may cause inflammation in the male genital tract, which can generate more ROS from leukocytes. (
A positive association between tobacco smoking and seminal OS markers has been demonstrated, as evidenced by a significant rise in ROS levels and reduced ROS-TAC values. Spermatozoa are especially vulnerable to excessive ROS-induced damage due to the high amount of polyunsaturated fatty acids in the plasma membrane that are targets for ROS and the low amounts of scavenging enzymes in their cytoplasm. The sources of heightened levels of reactive oxygen species (ROS) in the seminal fluid of smokers can originate from either internal or external sources. External factors like smoking, alcohol consumption, and exposure to air pollutants represent the external origins of ROS, while the primary internal sources of ROS are white blood cells, specifically neutrophils and macrophages, along with contributions from immature spermatozoa (
This study also investigates FSH, LH, and testosterone levels in patients with infertility due to tobacco smoking. The result shows that the testosterone level lower in smokers than non-smokers, while the FSH and LH levels are higher in smokers than non-smokers, albeit insignificantly. Bundhun et al. (1) reported no significant differences in the levels of testosterone (MD: 0.18, 95% CI: -1.26 – 1.63; P = 0.80), LH (MD: 0.18, 95% CI: -0.47 – 0.83; P = 0.58), or FSH (MD: 0.12, 95% CI: -0.41 – 0.64; P = 0.66) among smokers and non-smokers. This contrasts with the study conducted by
Some articles in this study investigate infertility with the total number of cigarettes smoked daily and the number of years of smoking. The study conducted by
Our study also found the complexity in alcohol’s impact on sperm.
While reversible changes in morphology may occur, heavy alcohol use is associated with decreased sperm volume and concentration. (
Combining smoking and alcohol amplifies their negative impact on sperm parameters. Despite separate actions, substantial DNA fragmentation differences were seen. Reduced semen volume in combined users points to synergistic impact. The mechanisms remain unclear, but the study by
On average, smoking has a detrimental impact on conventional semen characteristics. Increased risk of oligozoospermia, teratozoospermia, asthenozoospermia, and sperm morphological defects were all linked to tobacco use. Alcohol consumption may harm the sperm’s quality. Combining smoking and alcohol amplifies their negative impact on sperm parameters. Due to the harmful effects of both factors, men seeking reproduction should be advised to avoid these habits.