A North American study of anthropometric factors and semen quality

Joseph, Marlon D.; Hatch, Elizabeth E.; Koenig, Martha R.; Wang, Tanran R.; Sommer, Gregory J; Stuver, Sherri O.; Rothman, Kenneth J.; Wise, Lauren A.

doi:10.1016/j.fertnstert.2023.04.040

Cited by 3 publications

(1 citation statement)

References 59 publications

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“…We observed only weak to moderate associations likely due to our low sample size (a limitation of our pilot trial), which were consistent with those previously reported in the literature. For instance, we found negative associations between traditional sperm parameters of count, motility, and morphology with age [ 30 ], BMI [ 31 , 32 ], waist circumference [ 33 , 34 ], and general health and psychological wellbeing [ 35 ]. Dietary intake, which displayed the biggest variations across collections in our cohort, was also associated with semen quality.…”

Section: Discussionmentioning

confidence: 99%

The influence of lifestyle and biological factors on semen variability

Lyons,

Gyawali,

Mathews

et al. 2024

J Assist Reprod Genet

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Purpose Semen parameters are subjected to within-individual variability over time. The driving factors for this variability are likely multi-factorial, with healthier lifestyle associated with better semen quality. The extent in which variations in individual’s lifestyle contributes to within-individual semen variability is unknown. Methods A total of 116 repeat semen samples from 29 men aged 19–37 over 6 months were collected. Basic semen analysis as per 5th WHO manual and extended semen parameters (sperm DNA fragmentation, redox potential and lipid peroxidation, sperm binding to hyaluronan and hyperactive motility) were assessed. An additional 39 lifestyle/biological factors (weight, blood pressure, etc.) were collected at each sample including validated health questionnaires SF36 Health Status, Australian Recommend Food Score, and International Physical Activity Questionnaire. Results Only 10 out of the 39 lifestyle factors varied within men across samples including age (P = 0.0024), systolic blood pressure (P = 0.0080), social functioning (P = 0.0340), energy (P = 0.0069), non-alcoholic caffeinated beverages (P = 0.0010), and nutrition (P < 0.0001). The only semen parameter that varied between collections was sperm morphology (coefficient of variation 23.8 (6.1–72.0), P < 0.05). We only observed weak (r < 0.3) to moderate (r > 0.3– < 0.6) correlations between lifestyle factors, including body mass index, waist circumference, nutrition, exercise, blood pressure and semen parameters including sperm count, progressive motility, and sperm DNA fragmentation (P < 0.05). Conclusion In healthy men from the general population, semen quality and associated lifestyle factors do not significantly vary over 6 months, indicating that one semen sample is likely sufficient for determining male fertility in this population.

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Section: Discussionmentioning

confidence: 99%

The influence of lifestyle and biological factors on semen variability

Lyons,

Gyawali,

Mathews

et al. 2024

J Assist Reprod Genet

View full text Add to dashboard Cite

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Trajectory model to analyze the effect of multi-metal exposures on sperm parameters and sex hormones of the MARHCS cohort in China

Liu,

Zhang,

Zhang

et al. 2024

Environmental Research

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Do sperm factors influence embryonic aneuploidy? Long live the oocyte

Fouks,

Vaughan,

Sripada

et al. 2024

Human Reproduction

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STUDY QUESTION What is the impact of male age- and sperm-related factors on embryonic aneuploidy? SUMMARY ANSWER Using a 3-fold analysis framework encompassing patient-level, embryo-level, and matching analysis, we found no clinically significant interactions between male age and sperm quality with embryo ploidy. WHAT IS KNOWN ALREADY While the effect of maternal age on embryo chromosomal aneuploidy is well-established, the impact of male age and sperm quality on ploidy is less well-defined. STUDY DESIGN, SIZE, DURATION This retrospective cohort study analyzed autologous preimplantation genetic testing for aneuploidy (PGT-A) and frozen embryo transfer cycles from December 2014 to June 2021. The study involved 11 087 cycles from 8484 patients, with a total of 35 797 embryos. PARTICIPANTS/MATERIALS, SETTING, METHODS The aneuploidy rate, calculated as the ratio of aneuploid blastocysts to the total number of blastocysts biopsied in a single treatment cycle, was evaluated. In the embryo-level analysis, the main outcome measure was the ploidy state of the embryos. The study employed a multifaceted analytical approach that included a patient-level analysis using generalized linear mixed models, an embryo-level analysis focusing on chromosomal ploidy, and a propensity score matching analysis contrasting groups with distinct ploidy rates (0% and 100%). There were no interventions as this was an observational study of PGT-A cycles. MAIN RESULTS AND THE ROLE OF CHANCE No clinically relevant factors influencing ploidy rate related to male and sperm quality were revealed. In contrast, female age (coefficient = −0.053), BMI (coefficient = 0.003), prior ART cycle (coefficient = −0.066), and number of oocytes retrieved (coefficient = −0.018) were identified at the patient level. Embryo analysis identified age (coefficient = −0.1244) and ICSI usage (coefficient = −0.0129) as significant factors. Despite these, no significant interactions between male and female assessed factors on the ploidy rate emerged. Propensity score matching between maximal (100% vs 0%) euploid rates did not reveal significant differences of influence by male age and sperm quality. LIMITATIONS, REASONS FOR CAUTION The focus on patients having blastocyst biopsy for PGT-A may not reflect the broader IVF population. Other semen quality parameters like DNA fragmentation were not included. Exclusion of embryo mosaicism from the analysis could affect aneuploidy rate interpretations. There may also be unmeasured influences like lifestyle or environmental factors. WIDER IMPLICATIONS OF THE FINDINGS Male age and sperm quality parameters were consistent across both maximal and minimal ploidy rate comparisons. No significant clinical characteristics related to the factors assessed for the male-influenced blastocyst ploidy status, confirming the dominancy of the oocyte and female age. STUDY FUNDING/COMPETING INTEREST(S) The study was not funded. There are no competing interests. TRIAL REGISTRATION NUMBER N/A.

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A North American study of anthropometric factors and semen quality

Cited by 3 publications

References 59 publications

The influence of lifestyle and biological factors on semen variability

The influence of lifestyle and biological factors on semen variability

Trajectory model to analyze the effect of multi-metal exposures on sperm parameters and sex hormones of the MARHCS cohort in China

Do sperm factors influence embryonic aneuploidy? Long live the oocyte

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