%0 Journal Article
%T Obesity Appears to Impact Male Fertility by Degrading Overall Semen Quality Rather than Individual Semen Parameters
%A Joseph Petty
%A Sami Jabara
%A Samuel Prien
%A Lindsay Penrose
%J Open Journal of Obstetrics and Gynecology
%P 917-923
%@ 2160-8806
%D 2014
%I Scientific Research Publishing
%R 10.4236/ojog.2014.415129
%X Obesity has become a well-recognized
medical issue. However its exact role in male infertility remains unclear. The
objective of the current study was to determine if an increase inBMIis
associated with an increase in semen parameter abnormalities and if this
relationship was influenced by other patient activities. Charts were reviewed
for one hundred and thirty-three male patients who had also undergone a
complete initial office face to face interview, as part of an infertility
evaluation and a semen analysis. As part of standard patient care, all patients
answered a detailed questionnaire regarding demographics, exposures, medical
and reproductive history as part of their infertility evaluation. Patients were
grouped according toBMIas normal (20 - 24 kg/m<sup><span style=\"font-size:12px;font-family:Verdana;\">2</span></sup><span style=\"font-size:12px;font-family:Verdana;\">), overweight (25 -
30 kg/m</span><sup><span style=\"font-size:12px;font-family:Verdana;\">2</span></sup><span style=\"font-size:12px;font-family:Verdana;\">), or obese (&gt;30 kg/m</span><sup><span style=\"font-size:12px;font-family:Verdana;\">2</span></sup><span style=\"font-size:12px;font-family:Verdana;\">). Semen analysis
parameters analyzed included: morphology, volume, concentration, percent
motility, and agglutination. While some parameters suggested trends, results
were similar between the normal, overweight, and obeseBMI, for concentration (</span><i><span style=\"font-size:12px;font-family:Verdana;\">P</span></i><span style=\"font-size:12px;font-family:Verdana;\">=
0.18), volume (</span><i><span style=\"font-size:12px;font-family:Verdana;\">P</span></i><span style=\"font-size:12px;font-family:Verdana;\"> = 0.845), motility (</span><i><span style=\"font-size:12px;font-family:Verdana;\">P</span></i><span style=\"font-size:12px;font-family:Verdana;\"> = 0.06); %
Positive agglutination: 12%, 7%, 7%&nbsp;(</span><i><span style=\"font-size:12px;font-family:Verdana;\">P</span></i><span style=\"font-size:12px;font-family:Verdana;\"> = 0.668) and % normal
morphology (</span><i><span style=\"font-size:12px;font-family:Verdana;\">P</span></i><span style=\"font-size:12px;font-family:Verdana;\"> = 0.083). Unlike a number of previous studies,
results indicate that there is no statistically significant association
betweenBMIand any of the individual semen parameters tested. Raw data suggested
a trend for decreasing concentration with increasingBMI. Further, data also
suggested equal numbers of oligospermics in each group. However, when the data
looked at globally rather than on the
%K Body Mass Index
%K Obesity
%K Semen Analysis
%K Sperm Morphology
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51190