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      Influence of male body mass index on semen analysis parameters and in vitro fertilization outcomes

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          Abstract

          Concurrent global increase of prevalence of obesity and male fertility implies link between overweight and obesity with male subfertility. This hypothesis is supported by numerous population-based epidemiological studies. Increase in body mass index (BMI) is associated with poor sperm quality in fertile, and more noticeable in infertile men. Nevertheless, some studies disprove damaging effect of BMI on semen quality. To examine the influence of men’s BMI in infertile couples undergoing in vitro fertilization (IVF) on semen analysis parameters and IVF outcomes. Study encompassed all couples who underwent IVF at Gynecology and Obstetrics Clinic Narodni Front in Belgrade during 2018 and 2019. Exclusion criteria were azoospermia, conditions and diseases that could affect the semen analysis parameters (diabetes, malignant diseases treated with radiation and/or chemotherapy, trauma or surgery of the genital organs, mumps or undescended testicles in childhood). Evaluated semen analysis parameters included semen ejaculate volume, sperm pH, sperm count, sperm motility, and sperm morphology. IVF outcomes comprised total number of embryos, number and percentage of obtained good-quality embryos and clinical pregnancy rates. Based on BMI value, participants were divided into a group of underweight (Group 1), normally weight (Group 2), overweight (Group 3), and obese men (Group 4). After applying inclusion and exclusion criteria, 411 men (couples) were included in the analysis. The largest number of men were overweight, while the smallest belonged to the group of underweight participants. There are no significant differences in the semen analysis parameters between study groups. Correlation analysis shown weak and insignificant correlation between BMI and semen analysis parameters. The number and proportion of good quality embryos is significantly lower in overweight and obese study groups compared to normal weight and underweight groups (2.89, 2.91, 2.42, and 2.36, respectively, P = .041). The differences in other IVF outcomes: total number of embryos (3.61, 3.74, 3.21, and 3.37, respectively) and clinical pregnancy rates (41.26%, 43.09%, 42.78%, and 39.95%, respectively) between study groups were not significant ( P > .05). BMI does not significantly affect semen analysis parameters, but a higher BMI is associated with a lower number and proportion of good quality embryos in IVF outcomes.

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          Temporal trends in sperm count: a systematic review and meta-regression analysis

          Reported declines in sperm counts remain controversial today and recent trends are unknown. A definitive meta-analysis is critical given the predictive value of sperm count for fertility, morbidity and mortality.
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            BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis.

            BACKGROUND The global obesity epidemic has paralleled a decrease in semen quality. Yet, the association between obesity and sperm parameters remains controversial. The purpose of this report was to update the evidence on the association between BMI and sperm count through a systematic review with meta-analysis. METHODS A systematic review of available literature (with no language restriction) was performed to investigate the impact of BMI on sperm count. Relevant studies published until June 2012 were identified from a Pubmed and EMBASE search. We also included unpublished data (n = 717 men) obtained from the Infertility Center of Bondy, France. Abstracts of relevant articles were examined and studies that could be included in this review were retrieved. Authors of relevant studies for the meta-analysis were contacted by email and asked to provide standardized data. RESULTS A total of 21 studies were included in the meta-analysis, resulting in a sample of 13 077 men from the general population and attending fertility clinics. Data were stratified according to the total sperm count as normozoospermia, oligozoospermia and azoospermia. Standardized weighted mean differences in sperm concentration did not differ significantly across BMI categories. There was a J-shaped relationship between BMI categories and risk of oligozoospermia or azoospermia. Compared with men of normal weight, the odds ratio (95% confidence interval) for oligozoospermia or azoospermia was 1.15 (0.93-1.43) for underweight, 1.11 (1.01-1.21) for overweight, 1.28 (1.06-1.55) for obese and 2.04 (1.59-2.62) for morbidly obese men. CONCLUSIONS Overweight and obesity were associated with an increased prevalence of azoospermia or oligozoospermia. The main limitation of this report is that studied populations varied, with men recruited from both the general population and infertile couples. Whether weight normalization could improve sperm parameters should be evaluated further.
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              Reduced fertility among overweight and obese men.

              Overweight and obese men have been reported to have lower sperm counts and hormonal changes, but data are lacking regarding effects on couple fertility. We examined the relationship between male body mass index (BMI) and infertility in couples enrolled in the Agricultural Health Study in the United States. The analysis sample was limited to couples (wife <40 years old) with an attempt at pregnancy in the last 4 years based on pregnancy and fertility data provided by wives. Infertility was defined as not conceiving a pregnancy after at least 12 months of unprotected intercourse regardless of whether or not a pregnancy ultimately occurred. Self-reported weight and height were used to calculate BMI (kg/m). Adjusted odds ratios (aORs) for infertility associated with increases in male BMI were calculated with logistic regression. Adjusting for potential confounders, a 3-unit increase in male BMI was associated with infertility (aOR = 1.12; 95% confidence interval = 1.01-1.25; n = 1329). There was a dose-response relationship, and the BMI effect was stronger when the data were limited to couples with the highest-quality infertility data. The association between BMI and infertility was similar for older and younger men, suggesting that erectile dysfunction in older men does not explain the association. This report of lower fertility in overweight and obese men needs replication. If the findings are robust, programs to prevent obesity may improve men's reproductive health and save medical costs for infertility treatment.
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                Author and article information

                Contributors
                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MD
                Medicine
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0025-7974
                1536-5964
                02 August 2024
                02 August 2024
                : 103
                : 31
                : e38949
                Affiliations
                [a ]Clinic for Gynecology and Obstetrics Narodni Front, Belgrade, Serbia
                [b ]Faculty of Medicine, University of Belgrade, Belgrade, Serbia
                [c ]Clinic of Urology, University Clinical Center of Serbia, Belgrade, Serbia
                [d ]University of Criminal Investigation and Police Studies, Zemun, Belgrade, Serbia
                [e ]Clinic for Gynaecology and Obstetrics, Clinical Centre of Serbia, Belgrade, Serbia
                [f ]Institute of Social Medicine, Belgrade, Serbia.
                Author notes
                [* ]Correspondence: Milan Perovic, Obilicev Venac 1, Belgrade 11000, Serbia (e-mail: perovicmilan@ 123456hotmail.com ).
                Author information
                https://orcid.org/0000-0002-9054-6407
                Article
                MD-D-24-02799 00028
                10.1097/MD.0000000000038949
                11296464
                39093753
                800f103b-e163-4d07-a519-2d7dc4b16f34
                Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.

                History
                : 18 March 2024
                : 23 June 2024
                : 25 June 2024
                Categories
                5600
                Research Article
                Observational Study
                Custom metadata
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                embryo,pregnancy rate,sperm count,sperm morphology,sperm motility

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