3 days ago

PCOS: The Reality Show Where No Egg Wins

Polycystic Ovarian Syndrome (PCOS) is more than just a reproductive disorder; it’s a full-body metabolic condition that affects millions. In this episode, we sit down with Dr. Basma Faris, a board-certified OB/GYN and certified culinary medicine specialist, to break down the science of PCOS.

We discuss:

  • Why PCOS is not just about cystic ovaries
  • The role of insulin resistance in hormonal imbalance
  • How diet and lifestyle can support metabolic health
  • Why stress and sleep are crucial for managing symptoms
  • Common myths and the dangers of wellness misinformation

Whether you have PCOS or just want to better understand how hormones, metabolism, and lifestyle interact, this episode is packed with science-backed insights.

 

Bibliography

St-Onge MP, Cherta-Murillo A, Darimont C, Mantantzis K, Martin FP, Owen L. The interrelationship between sleep, diet, and glucose metabolism. Sleep Med Rev. 2023 Jun;69:101788. doi: 10.1016/j.smrv.2023.101788. Epub 2023 Apr 28. PMID: 37156196; PMCID: PMC10247426.

Lee SWH, Ng KY, Chin WK. The impact of sleep amount and sleep quality on glycemic control in type 2 diabetes: A systematic review and meta-analysis. Sleep Med Rev. 2017 Feb;31:91-101. doi: 10.1016/j.smrv.2016.02.001. Epub 2016 Feb 9. PMID: 26944909.

Lazar, S., Ionita, I., Reurean-Pintilei, D., & Timar, B. (2023). How to Measure Glycemic Variability? A Literature Review. Medicina, 60(1), 61. https://doi.org/10.3390/medicina60010061

Ehrhardt, N., & Al Zaghal, E. (2018). Behavior Modification in Prediabetes and Diabetes: Potential Use of Real-Time Continuous Glucose Monitoring. Journal of Diabetes Science and Technology, 13(2), 271-275. https://doi.org/10.1177/1932296818790994

Hanefeld, M., Sulk, S., Helbig, M., Thomas, A., & Köhler, C. (2014). Differences in Glycemic Variability Between Normoglycemic and Prediabetic Subjects. Journal of Diabetes Science and Technology, 8(2), 286-290. https://doi.org/10.1177/1932296814522739

Dmitrovic, R., Katcher, H. I., Kunselman, A. R., & Legro, R. S. (2011). Continuous Glucose Monitoring During Pregnancy in Women With Polycystic Ovary Syndrome. Obstetrics & Gynecology, 118(4), 878-885. https://doi.org/10.1097/AOG.0b013e31822c887f

Tao, M., Zhou, J., Zhu, J., Lu, W., & Jia, W. (2011). Continuous glucose monitoring reveals abnormal features of postprandial glycemic excursions in women with polycystic ovarian syndrome. Postgraduate Medicine, 123(2), 185-190. https://doi.org/10.3810/pgm.2011.03.2277

Merino, J., Linenberg, I., Bermingham, K. M., Ganesh, S., Bakker, E., Delahanty, L. M., Chan, A. T., Capdevila Pujol, J., Wolf, J., Al Khatib, H., Franks, P. W., Spector, T. D., Ordovas, J. M., Berry, S. E., & Valdes, A. M. (2022). Validity of continuous glucose monitoring for categorizing glycemic responses to diet: Implications for use in personalized nutrition. American Journal of Clinical Nutrition, 115(6), 1569-1576. https://doi.org/10.1093/ajcn/nqac026

Wyatt, P., Berry, S. E., Finlayson, G., O'Driscoll, R., Hadjigeorgiou, G., Drew, D. A., Khatib, H. A., Nguyen, L. H., Linenberg, I., Chan, A. T., Spector, T. D., Franks, P. W., Wolf, J., Blundell, J., & Valdes, A. M. (2021). Postprandial glycaemic dips predict appetite and energy intake in healthy individuals. Nature Metabolism, 3(4), 523-529. https://doi.org/10.1038/s42255-021-00383-x

Zahalka, S. J., Galindo, R. J., Shah, V. N., & Low Wang, C. C. (2024). Continuous Glucose Monitoring for Prediabetes: What Are the Best Metrics? Journal of Diabetes Science and Technology, 18(4), 835-846. https://doi.org/10.1177/19322968241242487

Basiri, R., & Cheskin, L. J. (2024). Personalized Nutrition Therapy without Weight Loss Counseling Produces Weight Loss in Individuals with Prediabetes Who Are Overweight/Obese: A Randomized Controlled Trial. Nutrients, 16(14). https://doi.org/10.3390/nu16142218

Joseph, J. I., Eisler, G., Diaz, D., Khalf, A., Loeum, C., & Torjman, M. C. (2018). Glucose Sensing in the Subcutaneous Tissue: Attempting to Correlate the Immune Response with Continuous Glucose Monitoring Accuracy. Diabetes Technology & Therapeutics, 20(5), 321-324. https://doi.org/10.1089/dia.2018.0106

Jospe, M. R., Richardson, K. M., Saleh, A. A., Bohlen, L. C., Crawshaw, J., Liao, Y., Konnyu, K., & Schembre, S. M. (2024). Leveraging continuous glucose monitoring as a catalyst for behaviour change: A scoping review. International Journal of Behavioral Nutrition and Physical Activity, 21(1), 74. https://doi.org/10.1186/s12966-024-01622-6

Zhu, J. P., Teng, Y. C., Zhou, J., Lu, W., Tao, M. F., & Jia, W. P. (2013). Increased mean glucose levels in patients with polycystic ovary syndrome and hyperandrogenemia as determined by continuous glucose monitoring. Acta Obstetricia et Gynecologica Scandinavica, 92(2), 165-171. https://doi.org/10.1111/aogs.12031

Rizos, E. C., Kanellopoulou, A., Filis, P., Markozannes, G., Chaliasos, K., Ntzani, E. E., Tzamouranou, A., Tentolouris, N., & Tsilidis, K. K. (2024). Difference on Glucose Profile From Continuous Glucose Monitoring in People With Prediabetes vs. Normoglycemic Individuals: A Matched-Pair Analysis. Journal of Diabetes Science and Technology, 18(2), 414-422. https://doi.org/10.1177/19322968221123530

Comments (0)

To leave or reply to comments, please download free Podbean or

No Comments

Copyright 2024 All rights reserved.

Podcast Powered By Podbean

Version: 20241125