Lucky Eggs: Why Infertility Problems Are Not Game Ova
Unbiased Science
The male biological clock and sperm aging
Lucky contrasts male and female reproductive aging, mechanisms of sperm renewal, and risks with advanced paternal age.
In this episode, Jess and Sarah welcome Dr. Lucky Sekhon, a reproductive endocrinologist, to explore the complex landscape of fertility and reproductive health. The scientists examine recent advancements in IVF technology while addressing the importance of understanding both male and female fertility factors. Dr. Sekhon debunks common fertility myths and discusses how lifestyle choices and mental health significantly impact reproductive outcomes. Throughout the conversation, the experts emphasize the critical need for improved communication and education around fertility issues, particularly for women navigating these challenges. The episode concludes with an optimistic perspective on the future of women's health, offering listeners valuable insights into modern fertility science and the expanding options available for those on their reproductive journey.
Watch the conversation on YouTube: https://youtu.be/vxjOHqMwg3U
(00:00) Intro & Holiday Update
(05:07) Intro to Dr. Lucky Sekhon
(07:21) A Headline That's Caught Dr. Lucky's Attention
(15:59) Thoughts On Fertility Being Just A Woman's Problem
(19:11) Does Age Affect Sperm Quality?
(22:31) Is 'Geriatric Pregnancy' A Real Thing?
(26:10) How Do You Respond To Infertility Shaming?
(33:12) What Is Something In The Science/Health World Giving You Hope Right Now?
The Lucky Egg Book ordering link: https://linkly.link/2TYtU
The Lucky Egg on Amazon: https://amzn.to/4szHMH9
https://www.instagram.com/lucky.sekhon/ @lucky.sekhon
https://www.tiktok.com/@drluckyegg @drluckyegg
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Further, due to the inherent limitations of a podcast such as this as well as ongoing scientific developments, we do not guarantee the completeness or accuracy of the information or analysis provided in this podcast, although, of course we always endeavor to provide comprehensive information and analysis. In no event may Unbiased Science or any of the participants in this podcast be held liable to the listener or anyone else for any decision allegedly made or action allegedly taken or not taken allegedly in reliance on the discussion or information in this podcast or for any damages allegedly resulting from such reliance. The information provided herein do not represent the views of our employers.
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