Literature DB >> 23242914

BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis.

N Sermondade1, C Faure, L Fezeu, A G Shayeb, J P Bonde, T K Jensen, M Van Wely, J Cao, A C Martini, M Eskandar, J E Chavarro, S Koloszar, J M Twigt, C H Ramlau-Hansen, E Borges, F Lotti, R P M Steegers-Theunissen, B Zorn, A J Polotsky, S La Vignera, B Eskenazi, K Tremellen, E V Magnusdottir, I Fejes, S Hercberg, R Lévy, S Czernichow.   

Abstract

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 We also included unpublished data (n = 717 men) obtained from the Infertility Center of Bondy, France.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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Year:  2012        PMID: 23242914      PMCID: PMC3621293          DOI: 10.1093/humupd/dms050

Source DB:  PubMed          Journal:  Hum Reprod Update        ISSN: 1355-4786            Impact factor:   15.610


  73 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  An exploration of the association between male body mass index and semen quality.

Authors:  A G Shayeb; K Harrild; E Mathers; S Bhattacharya
Journal:  Reprod Biomed Online       Date:  2011-09-05       Impact factor: 3.828

3.  The effect of male body mass index on sperm parameters.

Authors:  Leila Sekhavat; Mohammad Reza Moein
Journal:  Aging Male       Date:  2010-09       Impact factor: 5.892

4.  World Health Organization grade 'a' motility and zona-binding test accurately predict IVF outcome for mild male factor and unexplained infertilities.

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Review 5.  Intra- and inter-individual variability in human sperm concentration, motility and vitality assessment during a workshop involving ten laboratories.

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Journal:  Hum Reprod       Date:  2000-11       Impact factor: 6.918

6.  Natural course of idiopathic oligozoospermia: comparison of mild, moderate and severe forms.

Authors:  Chong Won Bak; Seung-Hun Song; Tae Ki Yoon; Jung Jin Lim; Tai Eun Shin; Suye Sung
Journal:  Int J Urol       Date:  2010-09-10       Impact factor: 3.369

7.  Inhibin-B levels in healthy young adult men and prepubertal boys: is obesity the cause for the contemporary decline in sperm count because of fewer Sertoli cells?

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Authors:  G W Strain; B Zumoff; J Kream; J J Strain; R Deucher; R S Rosenfeld; J Levin; D K Fukushima
Journal:  Metabolism       Date:  1982-09       Impact factor: 8.694

10.  Which is the best anthropometric technique to identify obesity: body mass index, waist circumference or waist-hip ratio?

Authors:  Ersin Akpinar; Ibrahim Bashan; Nafiz Bozdemir; Esra Saatci
Journal:  Coll Antropol       Date:  2007-06
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  152 in total

1.  Association between parental anthropometric measures and the outcomes of intracytoplasmic sperm injection cycles.

Authors:  Amanda Setti; Gabriela Halpern; Daniela Braga; Rita Figueira; Assumpto Iaconelli; Edson Borges
Journal:  J Assist Reprod Genet       Date:  2018-12-05       Impact factor: 3.412

2.  Inverse U-shaped Association between Sleep Duration and Semen Quality: Longitudinal Observational Study (MARHCS) in Chongqing, China.

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Journal:  Sleep       Date:  2016-01-01       Impact factor: 5.849

Review 3.  [Impact of lifestyle and environmental factors on male reproductive health].

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Review 4.  [Gender Obesity Report--Influence of obesity on Reproduction and Pregnancy].

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Journal:  Wien Med Wochenschr       Date:  2015-12-09

5.  Physical activity is not related to semen quality in young healthy men.

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6.  Massive Weight Loss Obtained by Bariatric Surgery Affects Semen Quality in Morbid Male Obesity: a Preliminary Prospective Double-Armed Study.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-28       Impact factor: 11.205

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Journal:  Fertil Steril       Date:  2015-03-09       Impact factor: 7.329

9.  Sugar-sweetened beverage intake in relation to semen quality and reproductive hormone levels in young men.

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Journal:  Hum Reprod       Date:  2014-05-08       Impact factor: 6.918

Review 10.  Epigenetics in male reproduction: effect of paternal diet on sperm quality and offspring health.

Authors:  Undraga Schagdarsurengin; Klaus Steger
Journal:  Nat Rev Urol       Date:  2016-08-31       Impact factor: 14.432

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