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dc.contributor.authorTriebner, Kai
dc.contributor.authorJohannessen, Ane
dc.contributor.authorSvanes, Cecilie
dc.contributor.authorSánchez Ramos, José Luis 
dc.date.accessioned2020-07-08T11:26:41Z
dc.date.available2020-07-08T11:26:41Z
dc.date.issued2020-06
dc.identifier.citationTriebner, K., Johannessen, A., Svanes, C. ... Sánchez Ramos, J. L. (2020). Describing the status of reproductive ageing simply and precisely: A reproductive ageing score based on three questions and validated with hormone levels. PLOS ONE, 15(6), e0235478. DOI: https://doi.org/10.1371/journal.pone.0235478es_ES
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10272/18486
dc.description.abstractObjective Most women live to experience menopause and will spend 4–8 years transitioning from fer- tile 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 sim- ple and yet precise description of the status of reproductive ageing, without hormone mea- surements, to be used by health professionals and researchers. Methods 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 gen- erate 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). Results The RAS, developed from questionnaire data of the RHINE cohort, defined with high preci- sion 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. Conclusions 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 con- ventional categorisation in pre-, peri- and postmenopause. This is useful for epidemiological research and clinical trials.es_ES
dc.language.isoenges_ES
dc.publisherPublic Library of Sciencees_ES
dc.relation.isversionofPublisher’s versión
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherReproductive ageinges_ES
dc.subject.otherHormone levelses_ES
dc.titleDescribing the status of reproductive ageing simply and precisely: A reproductive ageing score based on three questions and validated with hormone levelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1371/journal.pone.0235478
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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