Dataset Information

How does body mass index affect semen parameters and reproductive hormones in infertile males?

ABSTRACT: OBJECTIVE:The aim of this study was to invastigate the effect of body mass index (BMI) on semen parameters and reproductive hormone levels in infertile males. MATERIAL AND METHODS:Overall, 858 infertile male patients, aged between 18 and 55 years, referred to our infertility clinic were included in the study. Patients without risk factors, besides obesity, that could affect semen parameters or reproductive hormones were evaluated. Patients were separated into the following three groups: non-obese (<25 kg/m2), overweight (25-29.9 kg/m2), and obese (?30 kg/m2). Age, semen parameters, and reproductive hormones were evaluated and compared among the groups. In addition, subgroups based on sperm concentration were compared. RESULTS:Total testosterone and testosterone-estradiol ratio negatively correlated with BMI (p<0.001). A positive correlation was observed between BMI and age (p<0.001). Even when adjusted for age, the decrease in total testosterone was significant in all groups parallel to the increase in BMI. Although age, prolactin level, and total testosterone had a significant relationship in univariate analysis, the only significant parameters were prolactin and total testosterone according to multivariate analysis. There were no significant differences between BMI and semen parameters. No significant difference related to BMI was observed among the infertile groups [severe oligospermia (34.3%), oligospermia (18.2%), and normospermia (47.6%)]. CONCLUSION:A significant negative correlation was observed between increasing BMI and total testosterone. No relationship was observed between BMI and semen parameters except progressive motility. Nevertheless, prospective longitudinal clinical trials with larger sample sizes involving weight loss are needed to understand the precise relationship of BMI with reproductive hormones and semen parameters in the same individual.

SUBMITTER: Baydilli N

PROVIDER: S-EPMC7053984 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

How does body mass index affect semen parameters and reproductive hormones in infertile males?

Baydilli Numan N Selvi İsmail İ Akınsal Emre Can EC Zararsız Gözde Ertürk GE Ekmekçioğlu Oğuz O

Turkish journal of urology 20200207 2

<h4>Objective</h4>The aim of this study was to invastigate the effect of body mass index (BMI) on semen parameters and reproductive hormone levels in infertile males.<h4>Material and methods</h4>Overall, 858 infertile male patients, aged between 18 and 55 years, referred to our infertility clinic were included in the study. Patients without risk factors, besides obesity, that could affect semen parameters or reproductive hormones were evaluated. Patients were separated into the following three g ...[more]

PMID: 32053100

Similar Datasets

Project description:Background The current evidence on the association between obesity-associated markers and semen quality, serum reproductive hormones and lipids remains inconsistent. In this study, we tested the hypothesis that, in infertile Chinese men, body mass index (BMI) negatively correlates with sperm concentration, serum total testosterone (TT), and high-density lipoprotein cholesterol (HDL-C). The relationship between other obesity-associated markers and semen quality parameters, serum reproductive hormones, lipids and leptin were also investigated. Methods 181 Chinese infertile men were recruited from September 2018 to September 2019. Their obesity-associated markers, semen parameters, and serum reproductive hormones, lipids and leptin were detected. Statistical analysis was performed to assess the relationship between obesity-associated markers and semen quality, serum reproductive hormones, lipids and leptin. Result(s) Statistically negative correlation was found between other obesity-associated markers (e.g. waist-to-hip ratio and waist-to-height ratio) and semen parameters (e.g. sperm concentration, ratio of progressive motility and ratio of non-progressive motility), while no significant correlation was found between BMI and semen quality, serum reproductive hormones, lipids and leptin. Ratio of morphologically normal sperm was negatively correlated with serum lipids including total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C), leptin and seminal superoxide dismutase. Ratio of progressive sperm, sperm concentration and ratio of morphologically normal sperm exhibited significantly lower values in overweight group than normal group. Estradiol (E2) and E2/TT were significantly higher in obese group than normal group, while TT level was significantly lower in obese group than normal group. Univariate and multivariate analysis indicated that TC was significantly associated with BMI. Serum leptin concentration was positively correlated with seminal leptin concentration in overweight and obese groups. Conclusion(s) No significant correlation was found between BMI and sperm concentration, serum TT and HDL-C, while other obesity-associated markers were found to negatively correlate with sperm concentration, ratio of progressive motility and ratio of non-progressive motility. Statistically significant correlations between serum reproductive hormones, lipids and leptin also existed in Chinese infertile men.

Project description:OBJECTIVE:Overweight and obese women may avoid contraceptive methods they believe are associated with weight gain. The objective of this study was to examine the role of weight and weight perception on contraceptive use. STUDY DESIGN:Using cross-sectional data from the MyNewOptions study, we analyzed contraceptive use among 987 privately insured, sexually active women aged 18-40 years. Contraception was categorized into three groups: (1) long-acting reversible contraceptives (LARCs), (2) non-LARC prescription methods and (3) nonprescription methods/no method. Multinomial logistic regression was used to model the effect of body mass index category and weight perception on contraceptive use while controlling for pregnancy intentions, sexual behavior and sociodemographic characteristics. RESULTS:Eighty-three (8.4%) women were using LARCs, 490 (49.6%) women were using non-LARC prescription methods and 414 (42.0%) were using nonprescription methods or no method. In the adjusted multinomial model, overweight [adjusted odds ratio (aOR) 3.84, 95% confidence interval (CI) 1.85-7.98) and obese women (aOR 2.82, 95% CI 1.18-6.72) were significantly more likely to use LARCs compared to normal-weight women. There were greater adjusted odds of overweight and obese women using nonprescription methods/no method compared with non-LARC prescription methods, but this finding did not reach statistical significance. Weight perception was not associated with contraceptive use. CONCLUSION:In this study sample, overweight and obese women were more likely to use LARCs than normal-weight women. It will be important to further understand how weight influences women and providers' views on contraception in order to better assist women with individualized, patient-centered contraceptive decision making. IMPLICATIONS:Overweight and obese women may be reluctant to use contraceptive methods they believe are associated with weight gain (i.e., pills, shot), but how that affects contraceptive use is unclear. Compared with normal-weight women, overweight and obese women in this study were more likely to use LARCs than non-LARC prescription methods.

Project description:BackgroundMaternal Body Mass Index (BMI) is positively associated with infant obesity risk. Breast milk contains a number of hormones that may influence infant metabolism during the neonatal period; these may have additional downstream effects on infant appetite regulatory pathways, thereby influencing propensity towards obesity in later life.ObjectiveTo conduct a systematic review of studies examining the association between maternal BMI and the concentration of appetite-regulating hormones in breast milk.MethodPubmed was searched for studies reporting the association between maternal BMI and leptin, adiponectin, insulin, ghrelin, resistin, obestatin, Peptide YY and Glucagon-Like Peptide 1 in breast milk.ResultsTwenty six studies were identified and included in the systematic review. There was a high degree of variability between studies with regard to collection, preparation and analysis of breast milk samples. Eleven of fifteen studies reporting breast milk leptin found a positive association between maternal BMI and milk leptin concentration. Two of nine studies investigating adiponectin found an association between maternal BMI and breast milk adiponectin concentration; however significance was lost in one study following adjustment for time post-partum. No association was seen between maternal BMI and milk adiponectin in the other seven studies identified. Evidence for an association between other appetite regulating hormones and maternal BMI was either inconclusive, or lacking.ConclusionsA positive association between maternal BMI and breast milk leptin concentration is consistently found in most studies, despite variable methodology. Evidence for such an association with breast milk adiponectin concentration, however, is lacking with additional research needed for other hormones including insulin, ghrelin, resistin, obestatin, peptide YY and glucagon-like peptide-1. As most current studies have been conducted with small sample sizes, future studies should ensure adequate sample sizes and standardized methodology.

Project description:BackgroundThyroxine (T4) has been positively associated with tumor cell proliferation, while the effect of triiodothyronine (T3) on cell proliferation has not been well-established because it differs according to the type of cell line used. In Mexico, it has been reported that 14.5% of adult women have some type of thyroid dysfunction and abnormalities in thyroid function tests have been observed in a variety of non-thyroidal illnesses, including breast cancer (BC). These abnormalities might change with body mass index (BMI) because thyroid hormones are involved in the regulation of various metabolic pathways and probably by menopausal status because obesity has been negatively associated with BC in premenopausal women and has been positively associated with BC in postmenopausal women.MethodsTo assess the association between serum thyroid hormone concentration (T4 and T3) and BC and the influence of obesity as an effect modifier of this relationship in premenopausal and postmenopausal women, we measured serum thyroid hormone and thyroid antibody levels in 682 patients with incident breast cancer (cases) and 731 controls, who participated in a population-based case-control study performed from 2004 to 2007 in three states of Mexico. We tested the association of total T4 (TT4) and total T3 (TT3) stratifying by menopausal status and body mass index (BMI), and adjusted for other health and demographic risk factors using logistic regressions models.ResultsHigher serum total T4 (TT4) concentrations were associated with BC in both premenopausal (odds ratio (OR) per standard deviation?=?5.98, 95% CI 3.01-11.90) and postmenopausal women (OR per standard deviation?=?2.81, 95% CI 2.17-3.65). In premenopausal women, the effect of TT4 decreased as BMI increased while the opposite was observed in postmenopausal women. The significance of the effect modification was marginal (p?=?0.059) in postmenopausal women and was not significant in premenopausal women (p?=?0.22). Lower TT3 concentrations were associated with BC in both premenopausal and postmenopausal women and no effect modification was observed.ConclusionsThere is a strong association between BC and serum concentrations of TT3 and TT4; this needs to be further investigated to understand why it happens and how important it is to consider these alterations in treatment.

Dataset Information

How does body mass index affect semen parameters and reproductive hormones in infertile males?

Publications

How does body mass index affect semen parameters and reproductive hormones in infertile males?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets