Continuous Glucose Monitoring Reveals Abnormal Features of Postprandial Glycemic Excursions in Women with Polycystic Ovarian Syndrome
Abstract
BACKGROUND: To determine the features of postprandial glycemic excursions (PPGEs) in patients with polycystic ovarian syndrome (PCOS) using continuous glucose monitoring (CGM). METHODS: Forty-five women with PCOS and normal glucose tolerance and 45 healthy, age-matched women (control group) underwent a 3-day period of blood glucose (BG) monitoring using the CGM system. The glycemic level was calculated as the mean level of 24-hour BG value (MBG), and intra-day glycemic excursions were calculated as standard deviation of BG (SDBG) and mean amplitude of glycemic excursion (MAGE). Postprandial glycemic excursions were characterized by the amplitude of the postprandial BG spike and the interval between the meal and the maximal BG value. RESULTS: Based on CGM, the times to peak glucose of patients with PCOS after 3 meals were higher than the control group (42 ± 18 min vs 32 ± 12 min, 54 ± 25 min vs 39 ± 18 min, and 45 ± 16 min vs 38 ± 16 min, respectively; P < 0.05), and the amplitude of PPGEs after breakfast was higher than the control group (P < 0.05). However, there were no significant differences between the amplitudes of PPGEs after lunch and dinner compared with the control group (P > 0.05). The 24-hour MBG, SDBG, and MAGE of the patients with PCOS were 5.45 ± 0.51 mmol/L, 0.74 ± 0.32 mmol/L, and 1.83 ± 0.97 mmol/L, respectively, and there were no statistically significant differences compared with the control group (P > 0.05). CONCLUSIONS: Women with PCOS and normal glucose tolerance have changes in PPGEs. Continuous glucose monitoring can detect alterations in a comprehensive and sensitive way.
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Ten studies included information regarding the use of wearables.
“Ten studies included information regarding the use of wearables [77,78,79,80,81,82,83,84,85,86] (Supplementary File S3).”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [85]
Publication dates of wearable studies spanned from 2009 to 2022, with three originating from China, two from Brazil, two from the USA, and one each from Croatia, Poland, and the UK.
“Publication dates spanned from 2009 to 2022, with three of them originating from China [81,85,86], two from Brazil [78,82], two from the USA [77], and one each from Croatia [84], Poland [83], and the UK [80].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [85]
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Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review
Graca, S., Alloh, F., Lagojda, L., Dallaway, A., Kyrou, I., Randeva, H. S., & Kite, C. (2024) · Healthcare · doi:10.3390/healthcare12161671 · Cited by 14 · see citing works
Shamanna, P., Maheshwari, A., Keshavamurthy, A., Bhat, S., Kulkarni, A., R, S., K, K., Gupta, M., Thajudeen, M., Kulkarni, R., et al. (2025) · AACE Clinical Case Reports · doi:10.1016/j.aace.2024.11.004 · Cited by 10 · see citing works
- Authors
- Tao, M., Zhou, J., Zhu, J., Lu, W., & Jia, W.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Jia, Weiping
- Venue
- Postgraduate Medicine
- Publisher
- Informa UK Limited
- Published
- 2011-03
- Volume
- 123
- Issue
- 2
- Pages
- 185-190
- ISSN
- 0032-5481 (ISSN-L)
- 1941-9260
- OpenAlex
- W2045178603
- Cited by
- 16
- References
- 3
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2021: 2 · 2020: 1 · 2018: 2 · 2017: 1 · 2016: 1 · 2013: 1 · 2012: 1
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Postgraduate Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Hong Kong
- Chinese University of Hong Kong
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- polycystic ovary syndrome, postprandial glycemic excursions, continuous glucose monitoring, postprandial blood glucose, glycemic variability, mean amplitude of glycemic excursions
- MeSH terms
- Blood Glucose, Female, Glucose Tolerance Test, Humans, Insulin, Monitoring, Physiologic, Polycystic Ovary Syndrome, Case-Control Studies, Postprandial Period, Young Adult
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