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Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis

BACKGROUND: The present study performed two distinct meta-analyses with common outcomes (sperm parameters); one was performed in obese individuals (and non-obese controls) and the other in diabetic individuals (and non-diabetic controls). METHODS: PubMed, Embase, The Cochrane library, Web of Science...

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Autores principales: Zhong, Ou, Ji, Lin, Wang, Jinyuan, Lei, Xiaocan, Huang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520257/
https://www.ncbi.nlm.nih.gov/pubmed/34656168
http://dx.doi.org/10.1186/s13098-021-00728-2
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author Zhong, Ou
Ji, Lin
Wang, Jinyuan
Lei, Xiaocan
Huang, Hua
author_facet Zhong, Ou
Ji, Lin
Wang, Jinyuan
Lei, Xiaocan
Huang, Hua
author_sort Zhong, Ou
collection PubMed
description BACKGROUND: The present study performed two distinct meta-analyses with common outcomes (sperm parameters); one was performed in obese individuals (and non-obese controls) and the other in diabetic individuals (and non-diabetic controls). METHODS: PubMed, Embase, The Cochrane library, Web of Science, Scopus databases were searched to collect clinical studies related to the effects of obesity and diabetes on male sperm from inception to on 1st February 2021. Statistical meta-analyses were performed using the RevMan 5.4 software. Stata16 software was used to detect publication bias. The methodological quality of the included studies was assessed with the Ottawa–Newcastle scale using a star-based system. RESULTS: A total of 44 studies were finally included in the present study, which enrolled 20,367 obese patients and 1386 patients with diabetes. The meta-analysis results showed that both obesity and diabetes were associated with reduced semen volume (obese versus non-obese controls: mean difference (MD) = − 0.25, 95% CI = (− 0.33, − 0.16), p < 0.001; diabetes versus non-diabetic controls: MD = − 0.45, 95% CI = (− 0.63, − 0.27), p < 0.001), reduced sperm count (obese versus non-obese controls: MD = − 23.84, 95% CI = (− 30.36, − 17.33), p < 0.001; diabetes versus non-diabetic controls: MD = − 13.12, 95% CI = (− 18.43, − 7.82), p < 0.001), reduced sperm concentration (obese versus non-obese controls: MD = − 7.26, 95% CI = (− 10.07, − 4.46), p < 0.001; diabetes versus non-diabetic controls: MD = − 11.73, 95% CI = (− 21.44, − 2.01), p = 0.02), reduced progressive motility (obese versus non-obese controls: MD = − 5.68, 95% CI = (− 8.79, − 2.56), p < 0.001; diabetes versus non-diabetic controls: MD = − 14.37, 95% CI = (− 21.79, − 6.96), p = 0.001), and decreased testosterone levels (obese versus non-obese controls: MD = − 1.11, 95% CI = (− 1.92, − 0.30), p = 0.007; diabetes versus non-diabetic controls: MD = − 0.37, 95% CI = (− 0.63, − 0.12), p = 0.004). CONCLUSIONS: Current evidence suggests that obesity and diabetes negatively affect sperm parameters in men and are associated with low testosterone levels. Due to the limitation of the number and quality of included studies, the above conclusions need to be verified by more high-quality studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00728-2.
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spelling pubmed-85202572021-10-20 Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis Zhong, Ou Ji, Lin Wang, Jinyuan Lei, Xiaocan Huang, Hua Diabetol Metab Syndr Research BACKGROUND: The present study performed two distinct meta-analyses with common outcomes (sperm parameters); one was performed in obese individuals (and non-obese controls) and the other in diabetic individuals (and non-diabetic controls). METHODS: PubMed, Embase, The Cochrane library, Web of Science, Scopus databases were searched to collect clinical studies related to the effects of obesity and diabetes on male sperm from inception to on 1st February 2021. Statistical meta-analyses were performed using the RevMan 5.4 software. Stata16 software was used to detect publication bias. The methodological quality of the included studies was assessed with the Ottawa–Newcastle scale using a star-based system. RESULTS: A total of 44 studies were finally included in the present study, which enrolled 20,367 obese patients and 1386 patients with diabetes. The meta-analysis results showed that both obesity and diabetes were associated with reduced semen volume (obese versus non-obese controls: mean difference (MD) = − 0.25, 95% CI = (− 0.33, − 0.16), p < 0.001; diabetes versus non-diabetic controls: MD = − 0.45, 95% CI = (− 0.63, − 0.27), p < 0.001), reduced sperm count (obese versus non-obese controls: MD = − 23.84, 95% CI = (− 30.36, − 17.33), p < 0.001; diabetes versus non-diabetic controls: MD = − 13.12, 95% CI = (− 18.43, − 7.82), p < 0.001), reduced sperm concentration (obese versus non-obese controls: MD = − 7.26, 95% CI = (− 10.07, − 4.46), p < 0.001; diabetes versus non-diabetic controls: MD = − 11.73, 95% CI = (− 21.44, − 2.01), p = 0.02), reduced progressive motility (obese versus non-obese controls: MD = − 5.68, 95% CI = (− 8.79, − 2.56), p < 0.001; diabetes versus non-diabetic controls: MD = − 14.37, 95% CI = (− 21.79, − 6.96), p = 0.001), and decreased testosterone levels (obese versus non-obese controls: MD = − 1.11, 95% CI = (− 1.92, − 0.30), p = 0.007; diabetes versus non-diabetic controls: MD = − 0.37, 95% CI = (− 0.63, − 0.12), p = 0.004). CONCLUSIONS: Current evidence suggests that obesity and diabetes negatively affect sperm parameters in men and are associated with low testosterone levels. Due to the limitation of the number and quality of included studies, the above conclusions need to be verified by more high-quality studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00728-2. BioMed Central 2021-10-16 /pmc/articles/PMC8520257/ /pubmed/34656168 http://dx.doi.org/10.1186/s13098-021-00728-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhong, Ou
Ji, Lin
Wang, Jinyuan
Lei, Xiaocan
Huang, Hua
Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
title Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
title_full Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
title_fullStr Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
title_full_unstemmed Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
title_short Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
title_sort association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520257/
https://www.ncbi.nlm.nih.gov/pubmed/34656168
http://dx.doi.org/10.1186/s13098-021-00728-2
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