Describing the status of reproductive ageing simply and precisely: A reproductive ageing score based on three questions and validated with hormone levels.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 09 01 2020
accepted: 16 06 2020
entrez: 1 7 2020
pubmed: 1 7 2020
medline: 5 9 2020
Statut: epublish

Résumé

Most women live to experience menopause and will spend 4-8 years transitioning from fertile age to full menstrual stop. Biologically, reproductive ageing is a continuous process, but by convention, it is defined categorically as pre-, peri- and postmenopause; categories that are sometimes supported by measurements of sex hormones in blood samples. We aimed to develop and validate a new tool, a reproductive ageing score (RAS), that could give a simple and yet precise description of the status of reproductive ageing, without hormone measurements, to be used by health professionals and researchers. Questionnaire data on age, menstrual regularity and menstrual frequency was provided by the large multicentre population-based RHINE cohort. A continuous reproductive ageing score was developed from these variables, using techniques of fuzzy mathematics, to generate a decimal number ranging from 0.00 (nonmenopausal) to 1.00 (postmenopausal). The RAS was then validated with sex hormone measurements (follicle stimulating hormone and 17β-estradiol) and interview-data provided by the large population-based ECRHS cohort, using receiver-operating characteristics (ROC). The RAS, developed from questionnaire data of the RHINE cohort, defined with high precision and accuracy the menopausal status as confirmed by interview and hormone data in the ECRHS cohort. The area under the ROC curve was 0.91 (95% Confidence interval (CI): 0.90-0.93) to distinguish nonmenopausal women from peri- and postmenopausal women, and 0.85 (95% CI: 0.83-0.88) to distinguish postmenopausal women from nonmenopausal and perimenopausal women. The RAS provides a useful and valid tool for describing the status of reproductive ageing accurately, on a continuous scale from 0.00 to 1.00, based on simple questions and without requiring blood sampling. The score allows for a more precise differentiation than the conventional categorisation in pre-, peri- and postmenopause. This is useful for epidemiological research and clinical trials.

Identifiants

pubmed: 32603379
doi: 10.1371/journal.pone.0235478
pii: PONE-D-20-00740
pmc: PMC7326235
doi:

Substances chimiques

Estradiol 4TI98Z838E
Follicle Stimulating Hormone 9002-68-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0235478

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Kai Triebner (K)

Department of Clinical Science, University of Bergen, Bergen, Norway.
Core Facility for Metabolomics, University of Bergen, Bergen, Norway.

Ane Johannessen (A)

Department of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway.

Cecilie Svanes (C)

Department of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway.

Bénédicte Leynaert (B)

Team of Epidemiology, Inserm UMR1152, Paris, France.

Bryndís Benediktsdóttir (B)

Faculty of Medicine, University of Iceland, Reykjavik, Iceland.

Pascal Demoly (P)

Department of Pulmonology-Division of Allergy, University Hospital of Montpellier, Montpellier, France.

Shyamali C Dharmage (SC)

Allergy and Lung Health Unit, Melbourne School of Population Health, University of Melbourne, Melbourne, Australia.

Karl A Franklin (KA)

Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.

Joachim Heinrich (J)

Allergy and Lung Health Unit, Melbourne School of Population Health, University of Melbourne, Melbourne, Australia.
Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig Maximilians University Munich, Munich, Germany.

Mathias Holm (M)

Department of Occupational and Environmental Medicine, Göteborgs Universitet, Göteborg, Sweden.

Deborah Jarvis (D)

Department of Respiratory Epidemiology, Occupational Medicine and Public Health, Imperial College, London, England, United Kingdom.

Eva Lindberg (E)

Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.

Jesús Martínez Moratalla Rovira (JMM)

Servicio de Neumología, Servicio de Salud de Castilla-La Mancha, Albacete, Spain.

Nerea Muniozguren Agirre (N)

Epidemiologia, Salud Pública, Departamento de Salud, Gobierno Vasco, Galdakao, Spain.

José Luis Sánchez-Ramos (JL)

Department of Nursing, University of Huelva, Huelva, Spain.

Vivi Schlünssen (V)

Department of Public Health, Aarhus University, Aarhus, Denmark.
National Research Center for the Working Environment, Copenhagen, Denmark.

Svein Magne Skulstad (SM)

Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway.

Steinar Hustad (S)

Department of Clinical Science, University of Bergen, Bergen, Norway.
Core Facility for Metabolomics, University of Bergen, Bergen, Norway.

Francisco J Rodriguez (FJ)

Department of Applied Mathematics, University of Malaga, Malaga, Spain.

Francisco Gómez Real (F)

Department of Clinical Science, University of Bergen, Bergen, Norway.
Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.

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