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The relationship between anthropometric and metabolic risk factors and testicular function in healthy young men

  • Hakki Uzun (Department of Urology, Recep Tayyip Erdogan University School of Medicine) ;
  • Merve Huner (Department of Biochemistry, Recep Tayyip Erdogan University School of Medicine) ;
  • Mehmet Kivrak (Department of Biostatistics, Recep Tayyip Erdogan University School of Medicine) ;
  • Ertan Zengin (Department of Radiology, Recep Tayyip Erdogan University School of Medicine) ;
  • Yusuf Onder Ozsagir (Department of Urology, Recep Tayyip Erdogan University School of Medicine) ;
  • Berat Sonmez (Department of Urology, Recep Tayyip Erdogan University School of Medicine) ;
  • Gorkem Akca (Department of Urology, Recep Tayyip Erdogan University School of Medicine)
  • Received : 2023.05.09
  • Accepted : 2023.08.07
  • Published : 2024.03.31

Abstract

Objective: This study investigated the relationship of anthropometric and metabolic risk factors with seminal and sex steroidal hormone parameters in a screened population of healthy males. Methods: The participants were healthy young men without chronic or congenital diseases. The body composition parameters that we investigated were measured weight, height, and waist circumference (WC), as well as bioelectrical impedance analysis. Semen samples were analyzed for semen volume, sperm concentration, sperm motility and morphology, seminal pH, and liquefaction time. Biochemistry analysis, including glucose and lipid metabolism parameters, was conducted on fasting blood samples. Testicular volume was calculated separately for each testis using ultrasonography. Results: Body mass index exhibited an inverse association with total sperm count. WC showed negative correlations with numerous seminal parameters, including sperm concentration, total sperm count, sperm morphology, and follicle-stimulating hormone levels. The basal metabolic rate was associated with seminal pH, liquefaction time, and sperm motility. WC, fat mass percentage, and triglyceride levels exhibited negative correlations with sex hormone binding globulin. The measures of glucose metabolism were associated with a greater number of seminal parameters than the measures of cholesterol metabolism. C-reactive protein levels were inversely associated with sperm concentration and total sperm count. Conclusion: Anthropometric and metabolic risk factors were found to predict semen quality and alterations in sex steroidal hormone levels.

Keywords

References

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