Evidence map›Paper›PMID 33832644›Full record

ArticleMaturitas2021

Lowered progesterone metabolite excretion and a variable LH excretion pattern are associated with vasomotor symptoms but not negative mood in the early perimenopausal transition: Study of Women's Health Across the Nation.

Daniel S McConnell, Sybil L Crawford, Nancy A Gee, Joyce T Bromberger, Rasa Kazlauskaite, Nancy E Avis, Carolyn J Crandall, Hadine Joffe, Howard M Kravitz, Carol A Derby and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Maturitas, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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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

15 authors at 10 institutions in 1 country.

Daniel S McConnellDepartment of Epidemiology, School of Public Health, The University of Michigan, Ann Arbor, MI, United States. Electronic address: danmcc@umich.edu.
Sybil L CrawfordGraduate School of Nursing, University of Massachusetts Medical School, Worcester, MA, United States.
Nancy A GeeCenter for Health and the Environment, John Muir Institute of the Environment, University of California, Davis, CA, United States.
Joyce T BrombergerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh PA, United States.
Rasa KazlauskaiteRush University Medical Center, Chicago, IL, United States.
Nancy E AvisDepartment of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Carolyn J CrandallDavid Geffen School of Medicine at University of California, Department of Medicine, Los Angeles, CA, United States.
Hadine JoffeMary Horrigan Connors Center for Women's Health and Gender Biology, Paula A. Johnson Associate Professor of Psychiatry in the Field of Women's Health, Harvard Medical School, Vice Chair for Research, Department of Psychiatry, Brigham and Women's Hospital, Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Dana Farber/Harvard Cancer Center Breast Cancer Program, Harvard Medical School, Boston, MA, United States.
Howard M KravitzDepartment of Psychiatry, Rush University Medical Center, Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Carol A DerbyAlbert Einstein College of Medicine, Saul R. Korey Department of Neurology, Department of Epidemiology and Population Health, Bronx, NY, United States.
Ellen B GoldDepartment of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, United States.
Samar R El KhoudaryEpidemiology Data Center, University of Pittsburgh, Pittsburgh, PA, United States.
Sioban HarlowDepartment of Epidemiology, School of Public Health, The University of Michigan, Ann Arbor, MI, United States.
Gail A GreendaleDivision of Geriatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Bill L LasleyCenter for Health and the Environment, University of California Davis, Davis, CA, United States.
Rush University Medical Center · USUniversity of California, Davis · USUniversity of California, Los Angeles · USUniversity of Michigan · USUniversity of Pittsburgh · USAlbert Einstein College of Medicine · USBrigham and Women's Hospital · USJohn Muir Health · USUniversity of Massachusetts Chan Medical School · USWake Forest University · 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
SWAN Repository IVU01AG017719 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARLOW, SIOBAN D · 2000 to 2020
$25.0M
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 U01 AG017719NIA NIH HHS U19 AG063720NINR NIH HHS U01 NR004061
6 · The paper itself

Abstract

objectiveThe menopausal transition is characterized by progressive changes in ovarian function and increasing circulating levels of gonadotropins, with some women having irregular menstrual cycles well before their final menstrual period. These observations indicate a progressive breakdown of the hypothalamic-pituitary-ovarian axis often associated with an increase in menopausal symptoms. Relationships between vasomotor symptoms (VMS) and depressed mood and sleep as well as a bidirectional association between VMS and depressed mood in mid-life women have been reported, but the endocrine foundations and hormone profiles associated with these symptoms have not been well described. Our objective was to determine the relationship between daily urinary hormone profiles and daily logs of affect and VMS during the early perimenopausal transition. STUDY

designSWAN, the Study of Women's Health Across the Nation, is a large, mutli-ethnic, multisite cohort study of 3302 women aged 42-52 at baseline, designed to examine predictors of health and disease in women as they traversed the menopause. Inclusion criteria were: an intact uterus and at least one ovary present, at least one menstrual period in the previous three months, no use of sex steroid hormones in the previous three months, and not pregnant or lactating. A subset (n = 849) of women aged 43-53 years from all study sites in the first Daily Hormone Study collection were evaluated for this substudy. OUTCOME MEASURES: We measured daily VMS, and urinary hormones: follicle stimulating hormone (FSH), luteinizing hormone (LH), pregnanediol glucuronide (PdG) and estradiol (estrone conjugate, E1C).

resultsA variable pattern of LH and negative LH feedback were the hormone patterns most strongly associated with increased VMS. In contrast, no hormone pattern was significantly related to negative mood.

conclusionFluctuations of LH associated with low progesterone production were associated with VMS but not negative mood, suggesting different endocrine patterns may be related to increased negative mood than to the occurrence of VMS.

Indexed as

AdultAffectEstradiolFemaleFollicle Stimulating HormoneHumansLuteinizing HormoneMiddle AgedPerimenopausePregnanediolProgesteroneUnited StatesVasomotor SystemWomen's HealthEstradiolFollicle Stimulating HormoneLuteinizing HormonePregnanediolpregnanediol-3 alpha-glucuronideProgesteroneLuteinizing hormoneMenopausal transitionMoodProgesteroneVasomotor symptoms

Identifiers

PMID33832644
PMCPMC8091174
OpenAlexW3133643376

What OpenQuestion holds

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Registered trials

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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.