Literature DB >> 11791084

Menstrual patterns leading to the final menstrual period.

John R Taffe1, Lorraine Dennerstein.   

Abstract

OBJECTIVE: To characterize premenopausal menstrual regularity and the patterns of divergence from regularity associated with the approach of the final menstrual period.
DESIGN: Two samples of individual cycle length sequences contributed by participants in a population-based longitudinal study of the menopausal transition were examined. The first sample, of "early" sequences, is used to characterize menstrual regularity. The second shows how cycle length patterns change as the final menstrual period (FMP) is approached. Regression slopes are used to measure trend in cycle length, and changes in cycle length variability are registered by a simply calculated measure, the "running range."
RESULTS: Sequences in the early cycles sample rarely varied outside the 21-35 day range and did not show a rising or falling trend. In contrast, pre-FMP sequences generally became increasingly variable in length, while rising above 35 days in mean during the last 10 cycles. The variability measure remained below 40 days throughout the early sequences, but characteristically rose above 42 days during sequences including the last 20 pre-FMP cycles. In early sequences, but not in pre-FMP sequences, long and short cycles tended to alternate.
CONCLUSIONS: Increased variability is the dominant feature of cycle length pattern for most women as their final menstrual period approaches. Underlying this is a steady trend toward mean cycle lengths above 35 days. An indicator of the approach of menopause is a rise in running range of cycle lengths to 42 days.

Entities:  

Mesh:

Year:  2002        PMID: 11791084     DOI: 10.1097/00042192-200201000-00006

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


  21 in total

Review 1.  Menstruation and the menopausal transition.

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2.  A varying-coefficient Cox model for the effect of age at a marker event on age at menopause.

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Journal:  Biometrics       Date:  2005-06       Impact factor: 2.571

3.  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

4.  Influence of race/ethnicity, body mass index, and proximity of menopause on menstrual cycle patterns in the menopausal transition: the Study of Women's Health Across the Nation.

Authors:  Pangaja Paramsothy; Siobán D Harlow; Michael R Elliott; Matheos Yosef; Lynda D Lisabeth; Gail A Greendale; Ellen B Gold; Sybil L Crawford; John F Randolph
Journal:  Menopause       Date:  2015-02       Impact factor: 2.953

5.  Bias due to left truncation and left censoring in longitudinal studies of developmental and disease processes.

Authors:  Kevin C Cain; Siobán D Harlow; Roderick J Little; Bin Nan; Matheos Yosef; John R Taffe; Michael R Elliott
Journal:  Am J Epidemiol       Date:  2011-03-21       Impact factor: 4.897

6.  A method for longitudinal prospective evaluation of markers for a subsequent event.

Authors:  Roderick J Little; Matheos Yosef; Bin Nan; Siobán D Harlow
Journal:  Am J Epidemiol       Date:  2011-05-13       Impact factor: 4.897

7.  Evaluation of four proposed bleeding criteria for the onset of late menopausal transition.

Authors:  Siobán D Harlow; Kevin Cain; Sybil Crawford; Lorraine Dennerstein; Roderick Little; Ellen S Mitchell; Bin Nan; John F Randolph; John Taffe; Matheos Yosef
Journal:  J Clin Endocrinol Metab       Date:  2006-06-13       Impact factor: 5.958

8.  Distinguishing 6 population subgroups by timing and characteristics of the menopausal transition.

Authors:  Xiaobi Huang; Siobán D Harlow; Michael R Elliott
Journal:  Am J Epidemiol       Date:  2011-12-02       Impact factor: 4.897

9.  A hot-deck multiple imputation procedure for gaps in longitudinal recurrent event histories.

Authors:  Chia-Ning Wang; Roderick Little; Bin Nan; Siobán D Harlow
Journal:  Biometrics       Date:  2011-03-01       Impact factor: 2.571

10.  Predicting the timeline to the final menstrual period: the study of women's health across the nation.

Authors:  Gail A Greendale; Shinya Ishii; Mei-Hua Huang; Arun S Karlamangla
Journal:  J Clin Endocrinol Metab       Date:  2013-03-26       Impact factor: 5.958

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