Utilizing a digital cohort to understand the health burden and lifestyle characteristics across the life course in individuals with polycystic ovary syndrome and possible PCOS.

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Title: Utilizing a digital cohort to understand the health burden and lifestyle characteristics across the life course in individuals with polycystic ovary syndrome and possible PCOS.
Authors: Peebles E; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States., Wang Z; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States., Dracup E; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States., Sarcione C; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States., Curry CL; Health, Apple Inc., Cupertino, CA, United States., Abrams K; Health, Apple Inc., Cupertino, CA, United States., Onnela JP; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States., Williams MA; Department of Epidemiology and Population Health, Stanford University, Stanford, CA, United States., Hauser R; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States., Coull B; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States., Mahalingaiah S; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2025 Sep 19; Vol. 16, pp. 1585628. Date of Electronic Publication: 2025 Sep 19 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-2392
DOI:10.3389/fendo.2025.1585628