Evidence map›Paper›PMID 33038144›Full record

ArticleMenopause (New York, N.Y.)2020

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 Matthews, Yuefang Chang, Maria M Brooks, Sybil L Crawford, Imke Janssen, Hadine Joffe, Howard M Kravitz, Rebecca C Thurston, Samar R El Khoudary

Open access · greenAbstract read
In one paragraph

Article in Menopause (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Factors Associated With Menopause Symptoms: A Systematic Review and Meta-Analysis.BJOG : an international journal of obstetrics and gynaecology · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Karen A MatthewsDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Yuefang ChangDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA.
Maria M BrooksDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA.
Sybil L CrawfordDepartment of Medicine, University of Massachusetts, Worcester, MA.
Imke JanssenDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL.
Hadine JoffeConnors Center for Women's Health and Gender Biology, Harvard Medical School, Brigham and Women's Hospital, Boston, MA.
Howard M KravitzDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL.
Rebecca C ThurstonDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Samar R El KhoudaryDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA.
University of Pittsburgh · USRush University Medical Center · USHarvard University · USNeurological Surgery · USUniversity of Massachusetts Chan Medical School · US

Funding

The Study of Women's Health Across the Nation (SWAN): The Impact of Midlife and the Menopause Transition on Health and Functioning in Early Old AgeU19AG063720 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Maria Mori Brooks · 2020 to 2026
$61.3M
WOMENS HEALTH ACROSS THE NATION--COORDINATING CENTERU01AG012553 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BROOKS, MARIA MORI · 1994 to 2019
$37.7M
WOMENS HEALTH ACROSS THE NATION--ENDOCRINE LABU01AG012495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCONNELL, DANIEL S · 1994 to 2018
$18.8M
WOMENS HEALTH ACROSS THE NATION--PITTSBURGHU01AG012546 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MATTHEWS, KAREN · 1994 to 2019
$16.2M
WOMENS HEALTH ACROSS THE NATION--UCDAVISU01AG012554 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI GOLD, ELLEN B. · 1994 to 2019
$14.5M
WOMENS HEALTH ACROSS THE NATION--UCLAU01AG012539 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREENDALE, GAIL A · 1994 to 2018
$13.7M
THE STUDY OF WOMEN'S HEALTH ACROSS THE NATION-MICHIGANU01NR004061 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARLOW, SIOBAN D · 1994 to 2018
$12.9M
WOMENS HEALTH ACROSS THE NATION--CHICAGOU01AG012505 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI KRAVITZ, HOWARD M · 1994 to 2019
$11.9M
WOMENS HEALTH ACROSS THE NATION--MASSACHUSETTS GENERAL HU01AG012531 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI FINKELSTEIN, JOEL S · 1994 to 2019
$10.7M
Women's Health Across the Nation-New Jersey SiteU01AG012535 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DERBY, CAROL A. · 1994 to 2019
$9.2M
NIA NIH HHS U01 AG012495NIA NIH HHS U01 AG012505NIA NIH HHS U01 AG012531NIA NIH HHS U01 AG012535NIA NIH HHS U01 AG012539NIA NIH HHS U01 AG012546NIA NIH HHS U01 AG012553NIA NIH HHS U01 AG012554NIA NIH HHS U19 AG063720NINR NIH HHS U01 NR004061
6 · The paper itself

Abstract

objectiveTo 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.

methodGroup-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.

resultsWomen 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.

conclusionsWomen 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.

Indexed as

MenopauseWomen's HealthFemaleFollicle Stimulating HormoneHot FlashesHumansLongitudinal StudiesSleepFollicle Stimulating Hormone

Identifiers

PMID33038144
PMCPMC9238015
OpenAlexW3092192910

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.