BACKGROUND The global obesity epidemic has paralleled a decrease in semen quality. Yet, the association between obesity and sperm parameters remains controversial. The purpose of this report was to update the evidence on the association between BMI and sperm count through a systematic review with meta-analysis. METHODS A systematic review of available literature (with no language restriction) was performed to investigate the impact of BMI on sperm count. Relevant studies published until June 2012 were identified from a Pubmed and EMBASE search. We also included unpublished data (n = 717 men) obtained from the Infertility Center of Bondy, France. Abstracts of relevant articles were examined and studies that could be included in this review were retrieved. Authors of relevant studies for the meta-analysis were contacted by email and asked to provide standardized data. RESULTS A total of 21 studies were included in the meta-analysis, resulting in a sample of 13 077 men from the general population and attending fertility clinics. Data were stratified according to the total sperm count as normozoospermia, oligozoospermia and azoospermia. Standardized weighted mean differences in sperm concentration did not differ significantly across BMI categories. There was a J-shaped relationship between BMI categories and risk of oligozoospermia or azoospermia. Compared with men of normal weight, the odds ratio (95% confidence interval) for oligozoospermia or azoospermia was 1.15 (0.93-1.43) for underweight, 1.11 (1.01-1.21) for overweight, 1.28 (1.06-1.55) for obese and 2.04 (1.59-2.62) for morbidly obese men. CONCLUSIONS Overweight and obesity were associated with an increased prevalence of azoospermia or oligozoospermia. The main limitation of this report is that studied populations varied, with men recruited from both the general population and infertile couples. Whether weight normalization could improve sperm parameters should be evaluated further.

This study was conducted to determine a possible relationship between regular cell phone use and different human semen attributes. The history-taking of men in our university clinic was supplemented with questions concerning cell phone use habits, including possession, daily standby position and daily transmission times. Semen analyses were performed by conventional methods. Statistics were calculated with SPSS statistical software. A total of 371 were included in the study. The duration of possession and the daily transmission time correlated negatively with the proportion of rapid progressive motile sperm (r = -0.12 and r = -0.19, respectively), and positively with the proportion of slow progressive motile sperm (r = 0.12 and r = 0.28, respectively). The low and high transmitter groups also differed in the proportion of rapid progressive motile sperm (48.7% vs. 40.6%). The prolonged use of cell phones may have negative effects on the sperm motility characteristics.

The aim of this study was to examine the relationship of semen parameters, sexual function-related hormones and waist/hip ratio. Eighty-one selected patients presenting with infertility were examined. Weight, height, waist circumference and hip circumference were measured, and reproduction-related hormone levels were determined. Semen was analysed by conventional methods. Semen volume, sperm concentration, motility, total sperm count, total motile sperm cell number, rapid progressive motile sperm count and reproduction-related hormone levels [follicle-stimulating hormone, luteinizing hormone, prolactin, testosterone, 17beta-oestradiol and sexual hormone-binding globulin (SHBG)]. Significant correlations were found: (i) weight, waist circumference and hip circumference versus testosterone level, SHBG level, and testosterone/17beta-oestradiol ratio; (ii) hip circumference versus sperm concentration; (iii) waist circumference and hip circumference versus sperm count, total motile sperm cell number and rapid progressive motile sperm count; (iv) weight versus total sperm count and total motile sperm cell number; (v) waist circumference and hip circumference versus prolactin level (positively) and SHBG (negatively); (vi) waist circumference and waist/hip ratio versus semen volume. It can be concluded that the waist/hip ratio is correlated with the reproductive hormone levels. Although both the waist circumference and hip circumference correlated with the semen characteristics, the waist/hip ratio did not.

To evaluate the effect of body mass on the hormonal and semen profiles of subfertile men with oligozoospemia, sperm concentration and reproductive hormone levels were compared in two body mass index (BMI) groups: underweight or normal weight patients (BMI = 25 kg/m2) vs. overweight or obese patients (BMI > 25 kg/m2). The mean BMI was 27 +/- 4.6 kg/m2. The testosterone/estradiol ratio was significantly reduced in the high BMI group as compared to the low BMI group (17 +/- 4 vs. 12 +/- 3; p < 0.05). A similar difference was found in the sperm concentration (11.2 +/- 3.16 x 10(6)/ml vs. 8.1 +/- 2.6 x 10(6)/ml). A nonsignificant difference was found in the LH/FSH ratio (1.41 +/- 0.64 vs. 1.63 +/- 0.72). We concluded that obesity and the consequent estrogen excess decrease the sperm concentration by influencing the hypothalamo-pituitary system.

& A total of 274 men (aged: 26 AE 4.9 years) with normozoospermia were enrolled into this study. Their body mass index (BMI: kg=m 2 ) varied between 17 and 39. According to BMI, the patients were divided into four groups: Group 1: 17-20, Group 2: 20.1-25, Group 3: 25.1-30 and Group 4: 30.1-39. Twenty-nine subjects were found in the first, 96 in the second, 91 in the third and 58 men in the fourth group. Sperm concentration was significantly lower in the obese group (29 Â 10 6 =ml, p < 0.05) than in the group of BMI 17-20, 20-25 and 25-30. In advance, in the obese group, sperm count continuously decreased with aging. We conclude that obesity is associated with a lower sperm count in case of normozoospermia.