Longitudinal, epidemiologic studies of female reproductive aging
dc.contributor.author | Ferrell, Rebecca J. | en_US |
dc.contributor.author | Sowers, MaryFran R. | en_US |
dc.date.accessioned | 2011-01-31T17:25:08Z | |
dc.date.available | 2011-10-03T17:19:15Z | en_US |
dc.date.issued | 2010-08 | en_US |
dc.identifier.citation | Ferrell, Rebecca J.; Sowers, Maryfran; (2010). "Longitudinal, epidemiologic studies of female reproductive aging." Annals of the New York Academy of Sciences 1204(1 Reproductive Aging ): 188-197. <http://hdl.handle.net/2027.42/79073> | en_US |
dc.identifier.issn | 0077-8923 | en_US |
dc.identifier.issn | 1749-6632 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/79073 | |
dc.description.abstract | Human female reproductive aging consists of multiple processes and interacts with other physiological systems in unique ways. Here we discuss eight recent longitudinal, epidemiologic studies of female reproductive aging that include endocrine data to highlight their contributions to our understanding of these various aging processes and their interactions. Specifically, we review data on ovarian and nonovarian reproductive aging processes and reproductive staging. We consider these data in the context of longitudinal research design and research goals, identify limitations of the studies but also ways in which existing longitudinal data can further our understanding of aging processes, and make recommendations for future studies of female reproductive aging. | en_US |
dc.format.extent | 225112 bytes | |
dc.format.extent | 3106 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Inc | en_US |
dc.subject.other | Ovarian Aging | en_US |
dc.subject.other | Hypothalamic-pituitary Axis | en_US |
dc.subject.other | Menstrual Cycle | en_US |
dc.subject.other | Epidemiologic | en_US |
dc.title | Longitudinal, epidemiologic studies of female reproductive aging | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Science (General) | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationother | National Institute on Aging, National Institutes of Health, Bethesda, Maryland. | en_US |
dc.identifier.pmid | 20738290 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/79073/1/j.1749-6632.2010.05525.x.pdf | |
dc.identifier.doi | 10.1111/j.1749-6632.2010.05525.x | en_US |
dc.identifier.source | Annals of the New York Academy of Sciences | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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