The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis
Open accessAbstract
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 We also included unpublished data (n = 717 men) obtained from the Infertility Center of Bondy, France.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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Citations
Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Finucane, M. M., Stevens, G. A., Cowan, M. J., Danaei, G., Lin, J. K., Paciorek, C. J., Singh, G. M., Gutierrez, H. R., Lu, Y., Bahalim, A. N., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62037-5 · Cited by 4,050
World Health Organization reference values for human semen characteristics*‡
Cooper, T. G., Noonan, E., von Eckardstein, S., Auger, J., Baker, H. W. G., Behre, H. M., Haugen, T. B., Kruger, T., Wang, C., Mbizvo, M. T., et al. (2010) · Human Reproduction Update · doi:10.1093/humupd/dmp048 · Cited by 2,827
Stellato, R. K., Feldman, H. A., Hamdy, O., Horton, E. S., & McKinlay, J. B. (2000) · Diabetes Care · doi:10.2337/diacare.23.4.490 · Cited by 618 · cited 1×
“Moreover, studies showed a decrease of sex hormone-binding globulin among obese men, notably mediated by hyperinsulinemia, emphasizing the negative feedback effect of elevated total E2 levels (Stellato et al., 2000).”
Cited by
Temporal trends in sperm count: a systematic review and meta-regression analysis
Levine, H., Jørgensen, N., Martino-Andrade, A., Mendiola, J., Weksler-Derri, D., Mindlis, I., Pinotti, R., & Swan, S. H. (2017) · Human Reproduction Update · doi:10.1093/humupd/dmx022 · Cited by 1,374
Eisenberg, M. L., Esteves, S. C., Lamb, D. J., Hotaling, J. M., Giwercman, A., Hwang, K., & Cheng, Y.-S. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00459-w · Cited by 536
Barratt, C. L. R., Björndahl, L., De Jonge, C. J., Lamb, D. J., Osorio Martini, F., McLachlan, R., Oates, R. D., van der Poel, S., St John, B., Sigman, M., et al. (2017) · Human Reproduction Update · doi:10.1093/humupd/dmx021 · Cited by 505
“However, two key meta-analyses published in this area show conflicting data (MacDonald et al., 2010; Sermondade et al., 2013) with the latter concluding: ‘overweight and obesity were associated with an increased prevalence of azoospermia and oligozoospermia’.”
BackgroundResultEnvironmental factors in declining human fertility
Skakkebæk, N. E., Lindahl-Jacobsen, R., Levine, H., Andersson, A.-M., Jørgensen, N., Main, K. M., Lidegaard, Ø., Priskorn, L., Holmboe, S. A., Bräuner, E. V., et al. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00598-8 · Cited by 389
Campbell, J. M., Lane, M., Owens, J. A., & Bakos, H. W. (2015) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2015.07.012 · Cited by 332
Metadata
- Authors
- Sermondade, N., Faure, C., Fezeu, L., Shayeb, A. G., Bonde, J. P., Jensen, T. K., Van Wely, M., Cao, J., Martini, A. C., Eskandar, M., Chavarro, J. E., Koloszar, S., Twigt, J. M., Ramlau-Hansen, C. H., Borges, E., Lotti, F., Steegers-Theunissen, R. P. M., Zorn, B., Polotsky, A. J., La Vignera, S., Eskenazi, B., Tremellen, K., Magnusdottir, E. V., Fejes, I., Hercberg, S., Levy, R., & Czernichow, S.
- Venue
- Human Reproduction Update
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-12-12
- Volume
- 19
- Issue
- 3
- Pages
- 221-231
- ISSN
- 1355-4786 (ISSN-L)
- 1460-2369
- OpenAlex
- W2124182468
- Cited by
- 662
- References
- 5
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sermondade, N., Faure, C., Fezeu, L., Shayeb, A. G., Bonde, J. P., Jensen, T. K., Van Wely, M., Cao, J., Martini, A. C., Eskandar, M., Chavarro, J. E., Koloszar, S., Twigt, J. M., Ramlau-Hansen, C. H., Borges, E., Lotti, F., Steegers-Theunissen, R. P. M., Zorn, B., Polotsky, A. J., . . . Czernichow, S. (2013). BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis. Human Reproduction Update. https://doi.org/10.1093/humupd/dms050
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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