Literature DB >> 16145311

Monitoring reproductive aging in a 5-year prospective study: aggregate and individual changes in steroid hormones and menstrual cycle lengths with age.

Rebecca J Ferrell1, Kathleen A O'Connor, Germán Rodríguez, Tristan Gorrindo, Darryl J Holman, Eleanor Brindle, Rebecca C Miller, Deborah E Schechter, Lauren Korshalla, James A Simon, Phyllis K Mansfield, James W Wood, Maxine Weinstein.   

Abstract

OBJECTIVE: We describe a 5-year prospective study of reproductive aging, and present analyses of steroid hormone and menstrual cycle changes with age.
DESIGN: Participants were college-educated white women, primarily of northern European ancestry, recruited from the Tremin Research Program on Women's Health (n = 156, 25-58 years). In each of 5 consecutive years, they collected daily urine specimens for 6 months and recorded menstrual bleeds for all months. Urine specimens were assayed for estrone-3-glucuronide (E1G) and pregnanediol-3-glucuronide (PDG), urinary metabolites of estradiol and progesterone. Using multilevel models, we estimated hormone and cycle-length trajectories for individual women and within- and between-woman variance by age.
RESULTS: At the aggregate level, PDG declined beginning in the 30s, E1G increased into the 40s before declining, and cycle length became more variable with age. Individual-level models revealed substantial hormonal variation across women, in both absolute levels and rates of change. Most women showed declining E1G by the late 40s, declining PDG in the 30s, and increasing mean cycle length in the 40s. Hormonal variation decreased with age; cycle length variation decreased and then increased. Within individual women, cycle lengths were highly variable while hormone levels were more stable. Women differed more from each other in hormone levels than for cycle lengths.
CONCLUSIONS: Aggregate-level analyses show general changes in steroid hormones and cycle length but cannot show variation within and across women. Individuals' cycle lengths were too variable to predict hormone levels. Clinicians should obtain more data on individual women's hormonal patterns when determining fertility or menopause treatments.

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Year:  2005        PMID: 16145311     DOI: 10.1097/01.gme.0000172265.40196.86

Source DB:  PubMed          Journal:  Menopause        ISSN: 1072-3714            Impact factor:   2.953


  17 in total

Review 1.  Individual variation in endocrine systems: moving beyond the 'tyranny of the Golden Mean'.

Authors:  Tony D Williams
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-05-12       Impact factor: 6.237

2.  Progesterone and ovulation across stages of the transition to menopause.

Authors:  Kathleen A O'Connor; Rebecca Ferrell; Eleanor Brindle; Benjamin Trumble; Jane Shofer; Darryl J Holman; Maxine Weinstein
Journal:  Menopause       Date:  2009 Nov-Dec       Impact factor: 2.953

3.  Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data.

Authors:  Kathy Li; Iñigo Urteaga; Chris H Wiggins; Anna Druet; Amanda Shea; Virginia J Vitzthum; Noémie Elhadad
Journal:  NPJ Digit Med       Date:  2020-05-26

4.  Sleep symptoms during the menopausal transition and early postmenopause: observations from the Seattle Midlife Women's Health Study.

Authors:  Nancy Fugate Woods; Ellen Sullivan Mitchell
Journal:  Sleep       Date:  2010-04       Impact factor: 5.849

5.  Endocrine biomarkers and symptom clusters during the menopausal transition and early postmenopause: observations from the Seattle Midlife Women's Health Study.

Authors:  Nancy Fugate Woods; Lori Cray; Ellen Sullivan Mitchell; Jerald R Herting
Journal:  Menopause       Date:  2014-06       Impact factor: 2.953

6.  Hypoestrogenic "inactive phases" at the start of the menstrual cycle: changes with age and reproductive stage, and relationship to follicular depletion.

Authors:  Rebecca J Ferrell; Germán Rodríguez; Darryl Holman; Kathleen O'Connor; James W Wood; Maxine Weinstein
Journal:  Fertil Steril       Date:  2012-08-14       Impact factor: 7.329

7.  Factors related to declining luteal function in women during the menopausal transition.

Authors:  N Santoro; S L Crawford; W L Lasley; J L Luborsky; K A Matthews; D McConnell; J F Randolph; E B Gold; G A Greendale; S G Korenman; L Powell; M F Sowers; G Weiss
Journal:  J Clin Endocrinol Metab       Date:  2008-02-19       Impact factor: 5.958

Review 8.  Autoimmune diseases and reproductive aging.

Authors:  Riley Bove
Journal:  Clin Immunol       Date:  2013-02-28       Impact factor: 3.969

9.  Cortisol levels during the menopausal transition and early postmenopause: observations from the Seattle Midlife Women's Health Study.

Authors:  Nancy Fugate Woods; Ellen Sullivan Mitchell; Kathleen Smith-Dijulio
Journal:  Menopause       Date:  2009 Jul-Aug       Impact factor: 2.953

10.  Total and unopposed estrogen exposure across stages of the transition to menopause.

Authors:  Kathleen A O'Connor; Rebecca J Ferrell; Eleanor Brindle; Jane Shofer; Darryl J Holman; Rebecca C Miller; Deborah E Schechter; Burton Singer; Maxine Weinstein
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-02-24       Impact factor: 4.254

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