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Flow Cytometric Analysis of Biomarkers for Detecting Human Sperm Functional Defects
Published on: April 21, 2022
BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis
N Sermondade1, C Faure, L Fezeu
1Service d'Histologie-Embryologie-Cytogénétique-CECOS, Hôpital Jean Verdier (AP-HP), Bondy, France.
Human Reproduction Update
|December 18, 2012
Summary
Obesity is linked to lower sperm counts, increasing the risk of oligozoospermia or azoospermia. This systematic review found overweight and obese men have a higher prevalence of these sperm conditions.
Area of Science:
- Reproductive Medicine
- Andrology
- Public Health
Background:
- The global obesity epidemic coincides with declining semen quality.
- The relationship between body mass index (BMI) and sperm parameters is debated.
- Previous studies have yielded conflicting results regarding obesity's impact on sperm count.
Purpose of the Study:
- To systematically review and meta-analyze the association between BMI and sperm count.
- To update the evidence on how BMI affects sperm parameters.
- To investigate the risk of abnormal sperm count across different BMI categories.
Main Methods:
- Systematic literature review with meta-analysis, including unpublished data.
- Searched PubMed and EMBASE for relevant studies up to June 2012.
- Included 21 studies with 13,077 men, stratifying data by sperm count (normozoospermia, oligozoospermia, azoospermia).
Main Results:
- No significant difference in sperm concentration across BMI categories.
- A J-shaped relationship observed between BMI and the risk of oligozoospermia or azoospermia.
- Significantly increased odds of oligozoospermia/azoospermia in overweight (OR 1.11), obese (OR 1.28), and morbidly obese (OR 2.04) men compared to normal weight.
Conclusions:
- Overweight and obesity are associated with a higher prevalence of oligozoospermia or azoospermia.
- The study highlights a dose-response relationship between increasing BMI and reduced sperm quality.
- Further research is needed to determine if weight normalization can improve sperm parameters.
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