Male Obesity and Semen Analysis Parameters

Male Obesity and Semen Analysis Parameters
By:Joseph Petty, MD
Samuel Prien, PhD
Amantia Kennedy, MSIV
Sami Jabara, MD


Background: Obesity
Background: Semen Parameters
* What parameters best predict fertility?
* National Cooperative Reproductive Medicine Network: 765 infertile couples (no conception after 12 months), and 696 fertile couples
* greatest discriminatory power was in the percentage of sperm with normal morphologic features.

Hypothesis
Recent Studies
Sexual function
Hormonal Profile
Interventions: Gastric Bypass
Study Design
* Retrospective chart review for all couples and individual patients presenting for an infertility consultation and evaluation at the Texas Tech Physicians Center for Fertility and Reproductive Surgery from September 2005 through January 2008.
* Intake questionnaire: demographic, medical, surgical and fertility history.
Questionnaire
* Previous pregnancies fathered: current or previous partner
* Psychiatric disorders included any degree of depression, bipolar disorder or any other psychiatric disorder requiring medical therapy.
* Tobacco and alcohol users: whether they admitted to light, moderate, or heavy use, patient underreporting.
* Chemical exposures: contact with pesticides, herbicides, and heavy metals.
* Sexual dysfunction: mainly erectile dysfunction and decreased libido.
* Genitourinary anomalies: hypospadias, varicocele, genitourinary surgery, testicular torsion or inguinal hernia or trauma
* Other medical problems included mainly diabetes, hypertension, thyroid disease, autoimmune disease, and cancer.
* Patients grouped according to their BMI as normal (20-24 kg/m2, N = 24), overweight (25-30 kg/m2, N = 43), or obese (>30 kg/m2, N = 45), as standardized by the World Health Organization
* Semen analysis parameters: morphology, volume, concentration, percent motility, and presence of absence of agglutination, in accordance with World Health Organization (WHO) guidelines
* SPSS statistical software was used to run analysis of variance (ANOVA) and post-hoc Tukey HSD tests between the groups. A p-value <0.05 was considered statistically significant.
Exclusion Criteria
Results
Conclusion
Discussion
* Inconsistencies
* Small sample size
* Kort and data interpretation
* Change the normal hormonal milieu, addressed by Jensen study.
* Sertoli cell function, increased aromatase, role of leptin
* Aggerholm study: altered hormones not correlated with semen abnormalities in overweight men (25.1-30.0 kg/m2), slightly decreased sperm concentration in overweight but not in obese

Future Studies
References

Male Obesity and Semen Analysis Parameters.ppt