scholarly journals Association between obesity-associated markers and semen quality parameters and serum reproductive hormones in Chinese infertile men

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Jian-Xiong Ma ◽  
Bin Wang ◽  
Hai-Song Li ◽  
Xue-Juan Jiang ◽  
Jia Yu ◽  
...  
Keyword(s):  
Semen Quality ◽  
Sperm Concentration ◽  
Density Lipoprotein ◽  
Quality Parameters ◽  
Reproductive Hormones ◽  
Normal Group ◽  
Semen Parameters ◽  
Progressive Motility ◽  
Infertile Men ◽  
The Relationship

Abstract Background The current evidence on the association between obesity-associated markers and semen quality, serum reproductive hormones and lipids remains inconsistent. In this study, we tested the hypothesis that, in infertile Chinese men, body mass index (BMI) negatively correlates with sperm concentration, serum total testosterone (TT), and high-density lipoprotein cholesterol (HDL-C). The relationship between other obesity-associated markers and semen quality parameters, serum reproductive hormones, lipids and leptin were also investigated. Methods 181 Chinese infertile men were recruited from September 2018 to September 2019. Their obesity-associated markers, semen parameters, and serum reproductive hormones, lipids and leptin were detected. Statistical analysis was performed to assess the relationship between obesity-associated markers and semen quality, serum reproductive hormones, lipids and leptin. Result(s) Statistically negative correlation was found between other obesity-associated markers (e.g. waist-to-hip ratio and waist-to-height ratio) and semen parameters (e.g. sperm concentration, ratio of progressive motility and ratio of non-progressive motility), while no significant correlation was found between BMI and semen quality, serum reproductive hormones, lipids and leptin. Ratio of morphologically normal sperm was negatively correlated with serum lipids including total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C), leptin and seminal superoxide dismutase. Ratio of progressive sperm, sperm concentration and ratio of morphologically normal sperm exhibited significantly lower values in overweight group than normal group. Estradiol (E2) and E2/TT were significantly higher in obese group than normal group, while TT level was significantly lower in obese group than normal group. Univariate and multivariate analysis indicated that TC was significantly associated with BMI. Serum leptin concentration was positively correlated with seminal leptin concentration in overweight and obese groups. Conclusion(s) No significant correlation was found between BMI and sperm concentration, serum TT and HDL-C, while other obesity-associated markers were found to negatively correlate with sperm concentration, ratio of progressive motility and ratio of non-progressive motility. Statistically significant correlations between serum reproductive hormones, lipids and leptin also existed in Chinese infertile men.

scholarly journals Semen quality pattern and age threshold: a retrospective cross-sectional study of 71,623 infertile men in China, between 2011 and 2017

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
W. N. Li ◽  
M. M. Jia ◽  
Y. Q. Peng ◽  
R. Ding ◽  
L. Q. Fan ◽  
...  
Keyword(s):  
Semen Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Cross Sectional Study ◽  
Semen Parameters ◽  
Sectional Study ◽  
Joinpoint Regression ◽  
Cross Sectional ◽  
Progressive Motility ◽  
Infertile Men

Abstract Background The aim of this study was to provide information on the semen quality pattern of infertile men and age thresholds for semen parameters in China. Methods This was a retrospective cross-sectional study investigating 71,623 infertile men from the Reproductive and Genetic Hospital of CITIC Xiangya in Hunan, China, from 2011 to 2017. The Kruskal-Wallis test, Mann-Kendall test, linear regression model and joinpoint regression were used. Results Although erratic changes were observed in the median semen parameters (sperm concentration 40.1–52.1 × 106/ml, total sperm count 117.8–153.1 × 106, sperm progressive motility 33.4–38.1%) during the 7 years of observation, no significant decrease in semen quality was found, and 47.88% of infertile men showed normal semen parameters according to the World Health Organization (WHO) criteria. According to the joinpoint regression analysis, sperm progressive motility appeared to decrease earlier than the sperm concentration and total sperm count (at 28, 58, and 42 years of age, respectively). Conclusions There is no evidence of a deterioration in semen quality among infertile men in Hunan, China. Semen parameters decreased with increasing age, with turning points noted at different ages. Semen parameters are not absolute evidence for the assessment of male fertility potential. Therefore, we believe that, among semen parameters, the sperm concentration is the best predictor of fertility for ART, followed by motility. Decreased sperm motility may affect natural pregnancy, but it is not necessary for successful IVF.

scholarly journals Association Between Meat Intake and Semen Parameters Among Iranian Infertile Men: A Cross-sectional Study

2020 ◽  
Author(s):  
Reza Ghiasvand ◽  
farahnaz haeri ◽  
SeyyedPayam ShariatPanahi ◽  
Laleh Dehghan Marvast
Keyword(s):  
Semen Quality ◽  
Cross Sectional Study ◽  
Semen Parameters ◽  
Sectional Study ◽  
Cross Sectional ◽  
Meat Intake ◽  
Canned Tuna ◽  
Infertile Men ◽  
The Relationship ◽  
Serving Size

Abstract Objective: Previous studies have proven the effect of dietary patterns on semen quality indicators, but research on the relationship between meat intake and semen quality is limited. Therefore, this study was conducted to investigate the relationship between Meat intake with semen quality.Methods: In this cross sectional study, 400 infertile men were recruited into study during their fertility investigation in Yazd Reproductive Sciences Institute Diagnosed by an andrologist according to the inclusion criteria. Multivariate logistic regression was used to determine the relationship between meat intake and semen parameters. All data were analyzed using SPSS V. 22 software.Results: We found that intake of canned tuna can have two different effects on sperm motility in infertile male. Intake of canned tuna according to the serving size stated in quartile 2, leads to a decrease in the percentage of immotile sperm from 52.93 (CI95%, 51.15-54.71) to 46.55 (CI95%, 44.56-48.54)(Ptrend=0.036). On the other hand, there is an increase in the percentage of immotile sperm from 46.55 (CI95%, 44.56-48.54) to 52.88 (CI95%, 50.94-54.82) in the highest quartile of canned tuna intake.Also, no significant relationship was observed between intake other types of meats and sperm quality indices.Conclusions: We found that intake of canned tuna,base on serving size of quartile 2, is associated with lower percentage of immotile sperm, on the other hand high intake of canned tuna increase percentage of immotile sperm in Iranian infertile men. More extensive studies are recommended in this regard.

scholarly journals An age-based sperm nomogram: the McGill reference guide

2020 ◽  
Vol 35 (10) ◽  
pp. 2213-2225
Author(s):  
Mali Salmon-Divon ◽  
Guy Shrem ◽  
Jacques Balayla ◽  
Tamar Nehushtan ◽  
Alexander Volodarsky-Perel ◽  
...  
Keyword(s):  
Significant Influence ◽  
Semen Quality ◽  
Sperm Concentration ◽  
Semen Parameters ◽  
Progressive Motility ◽  
Semen Volume ◽  
Fourth Decade ◽  
Reference Limits ◽  
Age Dependent ◽  
Entire Dataset

Abstract STUDY QUESTION How does age affect various semen parameters? SUMMARY ANSWER For most semen parameters, the nomogram of the entire population was biphasic, peaking around the fourth decade of life. WHAT IS KNOWN ALREADY In clinical practice, semen quality is examined by using the WHO 2010 reference limits but these limits do not account for male age. A percentile-based, large-scale nomogram describing how different semen parameters change throughout reproductive life has been lacking. STUDY DESIGN, SIZE, DURATION A retrospective study was conducted with 12 188 sperm samples, obtained from individuals who attended the McGill University Health Centre reproductive clinic between 2009 and 2018. PARTICIPANTS/MATERIALS, SETTING, METHODS One sample from each individual who attended the clinic during the study period was analysed by using computer-assisted sperm analysis (CASA). The analysed parameters were human-verified and included sperm concentration, motility, progressive motility, total count, morphology and semen volume. Based on this analysis, the entire dataset (n = 12 188) was further divided into two groups of samples: samples that surpassed the WHO 2010 lower reference limits (‘above reference limits’ group, ARL; n = 6305), and samples that did not (‘below reference limit’ group, BRL; n = 5883). Regression quantiles were fitted as a function of age to generate age-dependent nomograms, and these quantiles were divided into 5th, 25th, 50th, 75th and 95th percentiles. MAIN RESULTS AND THE ROLE OF CHANCE In the entire dataset, age had a significant influence (P < 0.001) on all parameters (except morphology) which demonstrated a biphasic trend peaking in the fourth decade of life. In the ARL group, age had a significant influence (P < 0.01) on all semen parameters except sperm concentration and morphology. However, unlike in the entire dataset, only semen volume demonstrated a biphasic trend in the ARL group (peaking in the fourth decade of life), whereas other parameters either remained unchanged (concentration and morphology) or consistently declined with age (sperm motility, progressive motility and total sperm count). Percentile-based nomograms were generated for individuals between the ages of 20 and 60 years in the entire dataset and in the ARL group. LIMITATIONS, REASONS FOR CAUTION First, the semen samples were obtained from individuals who were referred to a fertility clinic, such that the entire dataset does not necessarily represent the general population. Second, the cross-sectional sampling design increases variance, and the nomograms are less accurate in the 5th and 95th percentiles and at the extremes of the age distributions. Third, the observed age-dependent changes in semen parameters do not necessarily indicate changes in fertility, as not all factors that affect male fertility were analysed. Fourth, some of our semen analyses employed CASA, which can have variability issues. Finally, our models did not incorporate possible secular trends. WIDER IMPLICATIONS OF THE FINDINGS We provide the first nomogram that correlates age with semen quality parameters in different population percentiles, thus complementing the current reference limits set by the WHO in 2010. Most examined semen parameters in our study changed non-linearly with age; therefore, age should be regularly employed as a factor in the clinical analysis of semen samples. STUDY FUNDING/COMPETING INTEREST(S) The authors have not received any funding to support this study. There are no conflicts of interest to declare. TRIAL REGISTRATION NUMBER N/A.

PSI-9 Evaluation of an Electronically-controlled Floor Cooling Pad on Semen Quality in Boars During Moderate Heat Stress

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 222-223
Author(s):  
Hailey M Hedrick ◽  
Larissa K Shirley ◽  
Tyler Fields ◽  
Allan P Schinckel ◽  
Jay S Johnson ◽  
...  
Keyword(s):  
Heat Stress ◽  
Semen Quality ◽  
Sperm Concentration ◽  
Semen Parameters ◽  
Lower Percentage ◽  
Controlled Cooling ◽  
Study Objective ◽  
Progressive Motility ◽  
Motion Parameters ◽  
Kinematic Motion

Abstract Heat stress (HS) decreases semen quality and production in boars. Therefore, the study objective was to evaluate the use of electronically-controlled cooling pads to reduce the negative effects of HS on semen quality. Boars (n=24) were randomly allotted to two treatment groups: boars housed on a non-functional cooling pad (CON) or pads flushing water every 8 minutes or when the pad reached 28.5°C (FLUSH). For 3 d, boars were subjected to cyclical HS (28 to 32°C; >50% relative humidity). Semen was collected for 7 weeks (2 weeks prior to determine baseline semen parameters, the day after HS, and weekly for 4 weeks post HS), and evaluated for volume, sperm concentration, motility, progressive motility, morphology, viability, and kinematic motion parameters. FLUSH boars had higher semen volumes compared to CON (P=0.011) without a corresponding increase in total sperm produced (P=0.852). Boars in FLUSH had higher motility in all weeks (87.0–90.8%) when compared to CON boars. FLUSH boars had higher motility starting in week 4 after HS compared to CON (P=0.017). No differences in progressive motility or kinematic motion parameters were found. There was a tendency for FLUSH boars to have a higher percent normal morphology compared to CON boars (83.1 vs 77.5%, P=0.083) resulting from decreased proximal and distal droplets in the FLUSH boars (P=0.029 and P=.0014, respectively). During week 2 post HS, there was a tendency for FLUSH boars to have a lower percentage of non-viable cells compared to all other weeks for FLUSH and CON boars (P=0.088). Cooling pads were effective at reducing the negative impacts of HS on semen volume, motility, and morphological abnormalities.

scholarly journals Dietary Patterns and Poor Semen Quality Risk in Men: A Cross-Sectional Study

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1162 ◽  
Author(s):  
Anna Danielewicz ◽  
Katarzyna Przybyłowicz ◽  
Mariusz Przybyłowicz
Keyword(s):  
Dietary Patterns ◽  
Semen Quality ◽  
Sperm Quality ◽  
Cross Sectional Study ◽  
Quality Parameters ◽  
Semen Parameters ◽  
Sectional Study ◽  
Cross Sectional ◽  
Progressive Motility ◽  
Increased Risk

The etiology of diminished sperm quality in about 30% of male infertility cases generally remains unexplained. Some studies have suggested that specific nutritional factors can affect semen quality. The aim of this study was to evaluate an association between dietary patterns (DPs) and the risk of abnormal semen quality parameters in men. This cross-sectional study was carried out in 114 men aged 20–55 years from Poland. Semen parameters were assessed via computer-aided semen. Diet was assessed by a food frequency questionnaire (FFQ). DPs were derived using Principal Component Analysis (PCA). Two DPs were derived: Pro-healthy and Western. After adjusting for potential confounders, the risk of abnormal progressive motility was significantly higher in the middle (OR: 2.89, 95% CI: 1.03–8.09) and upper (OR: 7.78, 95% CI: 1.52–15.06) tertiles of the Western DP. A trend for increased risk of the abnormal total count, progressive motility, and morphology (P-trend < 0.050) was found in Western DP. To conclude, the Western DP may increase the risk of abnormal semen parameters, whereas no association was found in the case of Pro-healthy DP. These findings stand in contrast to an increasing number of research findings indicating a positive relation between intake of healthy foods or diet and semen quality parameters. The results highlight the need to study whether modifications in diet and lifestyle factors improve semen quality.

P–024 Health and lifestyle detrimental conditions may impact the association between patient age and semen parameters in male populations

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
M C Guglielmo ◽  
M Vitali ◽  
R Iemmello ◽  
I Caliari ◽  
S Maruccia ◽  
...  
Keyword(s):  
Semen Quality ◽  
Age Groups ◽  
Sperm Concentration ◽  
Quality Parameters ◽  
Paternal Age ◽  
Semen Parameters ◽  
Male Population ◽  
Semen Volume ◽  
Fertility Clinic ◽  
The Impact

Abstract Study question Can health and lifestyle detrimental conditions impact the relationship between paternal age and semen quality parameters in a male population? Summary answer Health and lifestyle detrimental conditions can attenuate the negative relationship between age and sperm concentration in a male population. What is known already Paternal age has increased in parallel with maternal age but its contribution in couple subfertility deserves further investigation. Previous studies suggest that paternal ageing is associated with reduced semen volume and impaired sperm morphology and motility, but not with reduced sperm concentration. Several health and lifestyle conditions such as diabetes, hypertension and smoking can negatively affect semen quality. Since the distribution of these conditions is not homogeneous throughout men’s reproductive life, one can hypothesize that their presence may confound the association between paternal age and semen quality parameters in male populations. Study design, size, duration This is a retrospective study with data from 5565 men examined in a single fertility clinic between 2015 and 2020. The impact of health and lifestyle conditions was assessed by comparing the effects of age on semen parameters in two different patient populations: the overall patient population and a subpopulation excluding patients with detrimental health or lifestyle characteristics, both divided in 4 age groups (A: 25–34, B: 35–39, C: 40–44 and D: ≥45 years). Participants/materials, setting, methods The study includes 5565 men aged 24 to 72 years providing semen samples to assess volume, progressive motility and concentration (WHO) in a single fertility clinic. Patients presenting diabetes, heart/circulatory diseases, andrological disorders, genital neoplasms, cystic fibrosis, Y microdeletions, abusive alcohol intake, smoking and/or recreational use of drugs were excluded from the healthy subpopulation. The effect of age on semen parameters was assessed by ANOVA (motility and volume) or Kruskal-Wallis one-way ANOVA (concentration). Main results and the role of chance: Of 5565 men included in the study, 2150 (38.6%) did not present any of the detrimental health and lifestyle conditions described above. In the overall patient population, semen volume [Mean±SD (mL); A: 3.14 ± 1.55, B: 3.01 ± 1.53, C: 2.83 ± 1.52, D: 2.65 ± 1.58; p &lt; 0.001] and sperm progressive motility [Mean±SD (%); A: 33.1 ± 18.0, B: 31.7 ± 17.7, C: 31.4 ± 17.5, D: 28.4 ± 17.5; p &lt; 0.001] gradually and significantly decreased with paternal age. The same effect was observed in the patient subpopulation excluding detrimental health and lifestyle conditions [(mL; A: 3.21 ± 1.58, B: 3.05 ± 1.51, C: 2.89 ± 1.59, D: 2.78 ± 1.50; p &lt; 0.001); (%; A: 35.85 ± 17.4, B: 33.7 ± 17.4, C: 32.2 ± 17.1, D: 30.3 ± 16.5; p &lt; 0.001)]. However, sperm concentration significantly decreased with paternal age in the subpopulation excluding detrimental health and lifestyle conditions [(Mean±SD) million/mL; A: 43.19 ± 41.0, B: 38.8 ± 38.6, C: 38.4 ± 34.6, D: 36.6 ± 33.9; p &lt; 0.001], but not in the overall population (million/mL; A: 38.17 ± 40.9, B: 36.7 ± 34.7, C: 35.3 ± 35.1, D: 35. 1± 37.5; p = 0.088). Limitations, reasons for caution This study is limited by its retrospective nature and by the accuracy of data on health and lifestyle conditions provided by the patients. Differences between age groups not controlled for in the study could also impact the results. Wider implications of the findings: Ours findings suggest that health and lifestyle conditions may confound the effects of age on semen and sperm quality. Therefore, these data constitute a useful reference for the accurate assessment of the impact of male age on fertility. Trial registration number Not applicable

Effect of dietary ellagic acid supplementation on semen quality parameters in chickens

2015 ◽  
Vol 55 (1) ◽  
pp. 107 ◽  
Author(s):  
M. Shanmugam ◽  
S. V. Rama Rao
Keyword(s):  
Lipid Peroxidation ◽  
Superoxide Dismutase ◽  
Seminal Plasma ◽  
Ellagic Acid ◽  
Semen Quality ◽  
Sperm Concentration ◽  
Quality Parameters ◽  
Superoxide Dismutase Activity ◽  
Semen Parameters ◽  
Reducing Ability

Ellagic acid (EA), a polyphenoloic constituent in fruits and nuts, has been shown to have antioxidant and antiapoptotic properties. The aim of this study was to investigate the effect of dietary EA supplementation on semen quality parameters in chickens. Forty roosters (Dahlem Red breed), 28 weeks of age, were randomly assigned to four groups and fed diets containing EA at 0, 25, 50, or 75 mg/kg for 8 weeks. Semen was evaluated for volume, appearance, individual motility, sperm concentration, 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) dye reduction test, and live, dead and abnormal sperm counts. The seminal plasma was separated and evaluated for protein, alkaline phosphatase, and lipid peroxidation. At the end of the experiment, blood from individual birds was collected, and serum was separated and evaluated for superoxide dismutase activity, lipid peroxidation, and ferric-reducing ability of plasma. Supplementation with EA had no effect (P > 0.05) on gross semen parameters. Seminal plasma protein and lipid peroxidation were different (P < 0.01) between the treatment groups. The group fed EA at 75 mg/kg had high (P < 0.01) seminal plasma lipid peroxidation and lower (P < 0.05) serum superoxide dismutase activity. In conclusion, dietary supplementation of EA in chickens had no effect on the gross semen qualities and increased lipid peroxidation in seminal plasma.

scholarly journals Association of the Dietary Approaches to Stop Hypertension, Physical Activity, and Their Combination with Semen Quality: A Cross-Sectional Study

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 39
Author(s):  
Anna Danielewicz ◽  
Jakub Morze ◽  
Mariusz Przybyłowicz ◽  
Katarzyna Eufemia Przybyłowicz
Keyword(s):  
Physical Activity ◽  
Semen Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Cross Sectional Study ◽  
Semen Parameters ◽  
Sectional Study ◽  
Cross Sectional ◽  
Dash Diet ◽  
Progressive Motility

The influence of individual lifestyle factors is widely described in studies on semen quality. However, their synergistic effect is often neglected. The aim of the study was to examine the association between semen quality and dietary approaches to stop hypertension (DASH) diet, physical activity (PA), and the two separately and in combination. A cross-sectional study was carried out among 207 men aged 20–55. Dietary data were collected by a food frequency questionnaire (FFQ) and analysed according to the DASH scoring index. Physical activity was evaluated by the International Physical Activity Questionnaire. Semen parameters were assessed via the computer-aided semen analysis (CASA). Adherence to the DASH diet was associated with higher sperm count (ΔT3-T1 = 82.1 mln/ej) and concentration (ΔT3-T1 = 24.6 mln/mL). Higher PA was related to higher sperm count (ΔT3-T1 = 69.4 mln/ej), total (ΔT3-T1 = 11.9%), and progressive motility (ΔT3-T1 = 8.5%) and morphology (ΔT3-T1 = 2.8%) in the crude model and remained significant after adjustment. The combination of the DASH diet and PA, was significantly positively associated with sperm count (ΔT3-T1 = 98.1 mln/ej), sperm concentration (ΔT3-T1 = 17.5 mln/mL), total (ΔT3-T1 = 11.8%), and progressive motility (ΔT3-T1 = 10.0%) and morphology (ΔT3-T1 = 3.3%) in both models. Adherence to the DASH diet was related to higher sperm count and concentration, whereas after its combination with physical activity it was also positively correlated with sperm motility and morphology.

scholarly journals Influence of Collection Frequency on Boar Ejaculate Quality Parameters

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Stoja Jotanović ◽  
Milorad Sarajlić ◽  
Nenad Stojanović ◽  
Đorđe Savić ◽  
Ivan Stančić ◽  
...  
Keyword(s):  
Sperm Motility ◽  
Semen Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Quality Standards ◽  
Quality Parameters ◽  
Progressive Motility ◽  
Boar Semen ◽  
Live Sperm

The aim of study was to examine the effect of the boar ejaculate collection frequency on the parameters of its quality. The research covered a three-year period, and four most common boar breeds in our area. A total of 1705 ejaculates were taken from Yorkshire boars, 1693 ejaculates from Landrace boars, 1106 ejaculates from Pietrain boars and 669 ejaculates from Duroc boars. Within each breed, groups were formed according to the frequency of ejaculate taking (once, twice, three, four, five, or six times a month). Evaluation of ejaculate quality was performed in a reprocentre laboratory, according to their quality standards. Quality parameters that have been determined were the volume of ejaculate, sperm concentration, progressive sperm motility, live sperm count, the number of doses per ejaculate and the overall assessment of ejaculate. Results of this study show that the volume and progressive motility increase with the increase of frequency in ejaculate taking, while the sperm concentration drops, except for the Pietrain boars. The best results were observed in ejaculates collected 5-6 times during the month. The highest mean volume of ejaculate was found in the Landrace boars (292.22 ml), in ejaculate taking frequency of five times per month. The highest average progressive sperm motility was 92% in the Yorkshire boars, on collection frequency of six times a month, while the highest concentration of spermatozoa was found in the Duroc boars in collection frequency of one taking per month (447.32 mil/ml). The results of this study indicate that the frequency of ejaculate taking affects the boar semen quality parameters.

scholarly journals Relation between BMI and Semen parameters in male infertility patients in west of Algeria

2020 ◽  
Vol 10 (2-s) ◽  
pp. 64-67
Author(s):  
Dalila Ferrag ◽  
Abbassia Demmouche ◽  
Charaf Khalloua Zine
Keyword(s):  
Body Mass Index ◽  
Male Infertility ◽  
Body Mass ◽  
Semen Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Semen Parameters ◽  
Infertile Men ◽  
The Mean ◽  
The Impact

Introduction: Body mass index BMI is a risk factor that influences semen quality and reduces male fertility. The aim of this study was to determine the impact of body mass index (BMI) on semen parameters in infertile men. Subject and method: A total of 446 infertile men, the study population was divided into four groups depending on their BMI , underweight (<18.5 kg/), normal weight (18.5-24.99 kg/m2 ), overweight 25-29.99 kg/m2), and obese >30.0 kg/.semen parameters (PH, volume, concentration ,total semen count ,vitality, morphology and motility ) were compared across the four BMI groups. Results: The mean of age was 41.91±6.39, the mean infertility duration was 4.92±3.28, 351(78.7٪) had primary infertility and 95(21.3٪) had secondary infertility. The mean BMI was 29.38± 4.85 and the most of patients 45.2٪ were obese. Conclusion: This study has found evidence of an association between BMI and semen parameters (Sperm concentration, Total sperm count, motility, and vitality) and no correlation between Semen volume, morphology and BMI. Keywords: Body mass index, male infertility, semen quality, west of Algeria

Sign in / Sign up

Export Citation Format

Share Document