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Study Question: Does BMI of gestational carriers (GCs) affect perinatal outcomes after embryo transfer?, Summary Answer: Overweight and class I obesity in GCs does not affect the rate of good perinatal outcomes., What Is Known Already: The use of GCs is increasing, but uniform guidance regarding optimal BMI for GCs is lacking. Women with obesity who conceive without fertility treatment or through autologous or donor in vitro fertilization are at higher risk of adverse maternal and fetal outcomes, but data on obesity in GCs are very limited., Study Design, Size, Duration: We performed a retrospective cohort study of 1121 GC cycles from January 2015 to December 2020 at US Fertility, the largest national partnership of fertility practices in the USA., Participants/materials, Setting, and Methods: All GC cycles performed at a large network of fertility practices were reviewed. Same-sex partners undergoing co-IVF were excluded. The primary outcome was good perinatal outcome from the first embryo transfer, defined as a singleton live birth at ≥37 weeks of gestation with birth weight between 2500 and 4000 g. Secondary outcome measures included frequencies of live birth, clinical pregnancy, miscarriage, full-term birth, low birth weight, large for gestational age, and cesarean delivery. A generalized linear model (log-binomial) was used for each to compare outcomes across BMI groups using normal BMI (20-24.9 kg/m2) as the reference group. Risk ratios and 95% CIs were estimated for each category group relative to normal BMI., Main Results and the Role of Chance: We identified 1121 cycles in which GCs underwent first embryo transfer, of which 263 (23.5%) were in GCs with BMI >30. Demographics and reproductive history for GCs did not differ by BMI groups. The age of intended parents, use of frozen eggs, and fresh embryo transfers were higher with increasing BMI group. There were no statistically significant associations between BMI and good perinatal outcomes, live birth, clinical pregnancy, biochemical, spontaneous abortion, or low birth weight. However, among live births, higher BMI was significantly associated with birth by cesarean (P = 0.015) and large for gestational age infants (P = 0.023)., Limitations, Reasons for Caution: This was a retrospective study, and there may be unmeasured confounders. The number of patients with BMI <20 or ≥35 was small, limiting the power for these groups. We were not able to assess all maternal and fetal outcomes., Wider Implications of the Findings: In this study, we did not identify any significant impact of BMI on the chances of having a good perinatal outcome. Prior research studies have been inconsistent and this is the largest study to date., Study Funding/competing Interest(s): No external funding was received for this work. The authors do not have any conflicts of interest to declare., Trial Registration Number: N/A., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Antimüllerian hormone is produced by small antral follicles and reflects ovarian reserve. Obesity is associated with lower serum antimüllerian hormone, but it is unclear whether lower levels of antimüllerian hormone in women with obesity reflect lower ovarian reserve., Objective: To determine whether lower antimüllerian hormone in women with obesity undergoing in vitro fertilization is associated with oocyte yield and live-birth rate., Materials and Methods: Retrospective cohort from the Society for Assisted Reproductive Technology Clinic Outcome Reporting System database of 13,316 women with obesity and 16,579 women with normal body mass index undergoing their first autologous in vitro fertilization with fresh transfers between 2012 and 2014. Normal body mass index was defined as body mass index 18.5-24.9 kg/m 2 , and obesity was defined as body mass index ≥30 kg/m 2 . Subjects with obesity were stratified as those with class 1 obesity (body mass index, 30.0-34.9 kg/m 2 ), class 2 obesity (body mass index, 35.0-39.9 kg/m 2 ), and class 3 obesity (body mass index, ≥40 kg/m 2 ) based on the World Health Organization body mass index guidelines. Antimüllerian hormone levels were stratified as normal (>1.1 ng/mL), low (0.16-1-1 ng/mL), and undetectable (≤0.16 ng/mL). Multivariable modeling was used to assess oocyte yield using linear regression with a logarithmic transformation and odds of live birth using logistic regression., Results: Women with obesity were older (36.0 ± 4.8 vs 35.5 ± 4.8, P < .001), had lower antimüllerian hormone (1.8 ± 2.0 ng/mL vs 2.1 ± 2.0 ng/mL, P < .001), and had fewer oocytes retrieved (11.9 ± 7.3 vs 12.8 ± 7.7, P < .001) than women with normal body mass index. Lower oocyte yield was observed among women with obesity and normal antimüllerian hormone levels compared to women with normal body mass index and normal antimüllerian hormone levels (13.6 ± 7.3 vs 15.8 ± 8.1, P < .001). No difference in oocyte yield was observed among women with obesity and low antimüllerian hormone levels (P = .58) and undetectabl antimüllerian hormone (P = .11) compared to women with normal BMI and similar antimüllerian hormone levels. Among women with a body mass index ≥30 kg/m 2 , antimüllerian hormone levels were associated with the number of oocytes retrieved (β = 0.069; standard error, 0.005; P < .001) but not live-birth rate (odds ratio, 0.98; 95% confidence interval, 0.93-1.04, P = .57)., Conclusion: Lower antimüllerian hormone in infertile women with obesity appears to reflect lower ovarian reserve, as antimüllerian hormone is associated with lower oocyte yield. Despite lower oocyte yield, lower antimüllerian hormone was not associated with lower live-birth rate among women with obesity., (Copyright © 2019 Elsevier Inc. All rights reserved.)

This prospective, cross-sectional study of 60 women compares self-reported height, weight, and BMI with measured values. Self-reported BMI (29.0±8.37 kg/m(2)) was slightly lower than measured BMI (29.1±8.38 kg/m(2)) (p=0.4). Eighty percent of participants reported a BMI in the same category in which their BMI was measured. Pearson's correlation coefficient for height (0.96, p<0.001), weight (0.99, p<0.001), and BMI (0.99, p<0.001) were high. Reproductive age women accurately reported their height and weight., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

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.

Background: Male infertility affects approximately 6% of reproductive-aged men. It has been suggested that overweight men or men with obese body mass index (BMI) experience prolonged time to pregnancy, though the influence of male BMI on fertility remains understudied., Aims: We hypothesized that BMI is inversely correlated with fertility, manifested by reduced sperm concentration, motility, and morphology., Methods: Males of age 18 to 50 with semen analyses and self-reported BMI were included (n = 530). Patient parameters analyzed included age, BMI, smoking, urological, and fertility history. Leutinizing hormone (LH), Follicle-stimulating hormone, testosterone, steroid hormone-binding globulin (SHBG) and free androgen index (FAI) levels (n = 55), and selective serotonin reuptake inhibitor (SSRI) use (n = 12) were also measured., Results: The men in this study had a mean BMI of 28.2 ± 4.9 kg/m(2) (range = 15-60), which is considered overweight, and a mean semen concentration of 55.4 ± 46.8 million/mL, which is in normal range, according to WHO standard. No consistent relationship was observed between increasing BMI and sperm concentration, motility, or morphology, although the testosterone levels trended downward with increasing BMI; there was a suggestion for decreased sperm concentration in current smokers. Men treated with combination SSRI and other psychotropic agent therapy (n = 12) had significantly reduced sperm motility (P = .009). Not unexpectedly, prior urological surgery (n = 77) was associated with lower sperm concentration (P = .0001) and morphology (P = .0008). When in vitro fertilization-embryo transfer (IVF-ET) was used as a treatment modality (n = 121), male BMI was not a significant predictor of clinical pregnancy (P = .06)., Conclusions: In our study, we did not observe a significant association between male BMI and sperm concentration, motility or morphology, or clinical pregnancy following IVF-ET. Significantly, SSRI use may affect sperm parameters negatively.