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Variation of semen quality in normal men
C Mallidis1, E J Howard, H W Baker
1Andrology Laboratory, Prince Henry's Institute of Medical Research, Melbourne, Monash Medical Centre, Carlton, Australia.
International Journal of Andrology
|April 1, 1991
Summary
Semen analysis results show significant within-subject variability, not seasonal trends. This highlights individual biological variation in sperm parameters like concentration and motility over time.
Area of Science:
- Reproductive biology
- Andrology
- Human reproductive health
Background:
- Semen analysis is crucial for assessing male fertility.
- Understanding variability in semen parameters is essential for accurate interpretation.
- Previous studies have explored factors influencing semen quality, but within-subject variability requires further elucidation.
Purpose of the Study:
- To quantify the variability in key semen analysis parameters.
- To investigate the potential influence of season on semen quality.
- To differentiate between within-subject and between-subject variations in sperm parameters.
Main Methods:
- Analysis of 673 semen specimens from seven healthy men over extended periods (72-324 weeks).
- Assessment of sperm concentration, ejaculate volume, motility, and motility index.
- Statistical analysis to determine the proportion of variance attributable to within-subject differences and seasonal effects.
Main Results:
- Significant sample-to-sample variation was observed in all assessed semen parameters.
- Within-subject differences accounted for the largest proportion of overall variance: sperm concentration (54%), ejaculate volume (59%), motility (96%), and motility index (74%).
- While seasonal changes in results were noted, no consistent trends were identified, and no evidence supported seasonal influence or methodological bias.
Conclusions:
- Individual biological variability is the primary driver of changes in semen analysis results over time.
- Seasonal variations do not appear to significantly impact semen quality parameters in healthy men.
- These findings underscore the importance of considering individual baseline values and longitudinal data in fertility assessments.