Literature DB >> 33038144

Identifying women who share patterns of reproductive hormones, vasomotor symptoms, and sleep maintenance problems across the menopause transition: group-based multi-trajectory modeling in the Study of Women's Health Across the Nation.

Karen A Matthews1,2, Yuefang Chang3, Maria M Brooks2, Sybil L Crawford4, Imke Janssen5, Hadine Joffe6,7, Howard M Kravitz5,8, Rebecca C Thurston1,2, Samar R El Khoudary2.   

Abstract

OBJECTIVE: To identify groups of women who share levels and patterns of change in follicle-stimulating hormone (FSH), self-reported sleep maintenance problems, and frequent vasomotor symptoms (VMS) up to 10 years before and after their final menstrual period and to evaluate their premenopausal characteristics.
METHOD: Group-based multi-trajectory modeling grouped 1,407 women from the Study of Women's Health Across the Nation who had an observed natural menopause and did not use hormone therapy, based on repeated measures of FSH, sleep maintenance problems, and frequent VMS relative to final menstrual period. Multivariable analyses assessed race/ethnicity, body mass index, smoking, and depressive symptoms as predictors of group membership.
RESULTS: Women formed five distinct groups: (1) low symptoms (low VMS/sleep problems)/high FSH rise (N = 552; 39.2%); (2) moderate VMS and sleep problems/low FSH rise (N = 169; 12.0%); (3) dominant sleep problems (lower VMS/high sleep problems)/high FSH rise (N = 203; 14.4%); (4) dominant VMS (high VMS/lower sleep problems)/high FSH rise (N = 297; 21.1%)); and (5) high symptoms (high VMS/high sleep problems)/intermediate FSH rise (N = 186; 13.2%)). Multivariate analyses showed that race/ethnicity, premenopausal body mass index and depressive symptoms, and increasing depressive symptoms during the early phase of the transition predicted group membership.
CONCLUSIONS: Women can be classified based on shared levels and patterns of FSH, sleep maintenance problems, and frequent VMS across the menopause transition. Either VMS or sleep maintenance problems can be dominant in the face of high FSH. Experiencing one menopause-related symptom or hormone profile does not automatically imply that another is also being experienced.
Copyright © 2020 by The North American Menopause Society.

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Year:  2020        PMID: 33038144      PMCID: PMC9238015          DOI: 10.1097/GME.0000000000001663

Source DB:  PubMed          Journal:  Menopause        ISSN: 1072-3714            Impact factor:   3.310


  21 in total

1.  Factors associated with age at natural menopause in a multiethnic sample of midlife women.

Authors:  E B Gold; J Bromberger; S Crawford; S Samuels; G A Greendale; S D Harlow; J Skurnick
Journal:  Am J Epidemiol       Date:  2001-05-01       Impact factor: 4.897

2.  Group-based multi-trajectory modeling.

Authors:  Daniel S Nagin; Bobby L Jones; Valéria Lima Passos; Richard E Tremblay
Journal:  Stat Methods Med Res       Date:  2016-10-17       Impact factor: 3.021

3.  Longitudinal analysis of the association between vasomotor symptoms and race/ethnicity across the menopausal transition: study of women's health across the nation.

Authors:  Ellen B Gold; Alicia Colvin; Nancy Avis; Joyce Bromberger; Gail A Greendale; Lynda Powell; Barbara Sternfeld; Karen Matthews
Journal:  Am J Public Health       Date:  2006-05-30       Impact factor: 9.308

4.  Characterizing the trajectories of vasomotor symptoms across the menopausal transition.

Authors:  Ping G Tepper; Maria M Brooks; John F Randolph; Sybil L Crawford; Samar R El Khoudary; Ellen B Gold; Bill L Lasley; Bobby Jones; Hadine Joffe; Rachel Hess; Nancy E Avis; Sioban Harlow; Daniel S McConnell; Joyce T Bromberger; Huiyong Zheng; Kristine Ruppert; Rebecca C Thurston
Journal:  Menopause       Date:  2016-10       Impact factor: 2.953

5.  Change in follicle-stimulating hormone and estradiol across the menopausal transition: effect of age at the final menstrual period.

Authors:  John F Randolph; Huiyong Zheng; MaryFran R Sowers; Carolyn Crandall; Sybil Crawford; Ellen B Gold; Marike Vuga
Journal:  J Clin Endocrinol Metab       Date:  2010-12-15       Impact factor: 5.958

6.  A prospective population-based study of menopausal symptoms.

Authors:  L Dennerstein; E C Dudley; J L Hopper; J R Guthrie; H G Burger
Journal:  Obstet Gynecol       Date:  2000-09       Impact factor: 7.661

7.  Health status and utilization behavior associated with menopause.

Authors:  J B McKinlay; S M McKinlay; D J Brambilla
Journal:  Am J Epidemiol       Date:  1987-01       Impact factor: 4.897

8.  Change in health-related quality of life over the menopausal transition in a multiethnic cohort of middle-aged women: Study of Women's Health Across the Nation.

Authors:  Nancy E Avis; Alicia Colvin; Joyce T Bromberger; Rachel Hess; Karen A Matthews; Marcia Ory; Miriam Schocken
Journal:  Menopause       Date:  2009 Sep-Oct       Impact factor: 2.953

9.  The Seattle Midlife Women's Health Study: a longitudinal prospective study of women during the menopausal transition and early postmenopause.

Authors:  Nancy Fugate Woods; Ellen Sullivan Mitchell
Journal:  Womens Midlife Health       Date:  2016-11-09

Review 10.  The menopause transition and women's health at midlife: a progress report from the Study of Women's Health Across the Nation (SWAN).

Authors:  Samar R El Khoudary; Gail Greendale; Sybil L Crawford; Nancy E Avis; Maria M Brooks; Rebecca C Thurston; Carrie Karvonen-Gutierrez; L Elaine Waetjen; Karen Matthews
Journal:  Menopause       Date:  2019-10       Impact factor: 2.953

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  1 in total

1.  The association between reproductive history and menopausal symptoms: an evidence from the cross-sectional survey.

Authors:  Seyedeh Hajar Sharami; Roya Faraji Darkhaneh; Nasrin Ghanami Gashti; Mandana Mansour-Ghanaei; Sedighe Bab Eghbal
Journal:  BMC Womens Health       Date:  2022-04-27       Impact factor: 2.742

  1 in total

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