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Describing the status of reproductive ageing simply and precisely: A reproductive ageing score based on three questions and validated with hormone levels.
Triebner, Kai; Johannessen, Ane; Svanes, Cecilie; Leynaert, Bénédicte; Benediktsdóttir, Bryndís; Demoly, Pascal; Dharmage, Shyamali C; Franklin, Karl A; Heinrich, Joachim; Holm, Mathias; Jarvis, Deborah; Lindberg, Eva; Rovira, Jesús Martínez Moratalla; Muniozguren Agirre, Nerea; Sánchez-Ramos, José Luis; Schlünssen, Vivi; Skulstad, Svein Magne; Hustad, Steinar; Rodriguez, Francisco J; Gómez Real, Francisco.
Afiliación
  • Triebner K; Department of Clinical Science, University of Bergen, Bergen, Norway.
  • Johannessen A; Core Facility for Metabolomics, University of Bergen, Bergen, Norway.
  • Svanes C; Department of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
  • Leynaert B; Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway.
  • Benediktsdóttir B; Department of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
  • Demoly P; Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway.
  • Dharmage SC; Team of Epidemiology, Inserm UMR1152, Paris, France.
  • Franklin KA; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
  • Heinrich J; Department of Pulmonology-Division of Allergy, University Hospital of Montpellier, Montpellier, France.
  • Holm M; Allergy and Lung Health Unit, Melbourne School of Population Health, University of Melbourne, Melbourne, Australia.
  • Jarvis D; Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
  • Lindberg E; Allergy and Lung Health Unit, Melbourne School of Population Health, University of Melbourne, Melbourne, Australia.
  • Rovira JMM; Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig Maximilians University Munich, Munich, Germany.
  • Muniozguren Agirre N; Department of Occupational and Environmental Medicine, Göteborgs Universitet, Göteborg, Sweden.
  • Sánchez-Ramos JL; Department of Respiratory Epidemiology, Occupational Medicine and Public Health, Imperial College, London, England, United Kingdom.
  • Schlünssen V; Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
  • Skulstad SM; Servicio de Neumología, Servicio de Salud de Castilla-La Mancha, Albacete, Spain.
  • Hustad S; Epidemiologia, Salud Pública, Departamento de Salud, Gobierno Vasco, Galdakao, Spain.
  • Rodriguez FJ; Department of Nursing, University of Huelva, Huelva, Spain.
  • Gómez Real F; Department of Public Health, Aarhus University, Aarhus, Denmark.
PLoS One ; 15(6): e0235478, 2020.
Article en En | MEDLINE | ID: mdl-32603379
OBJECTIVE: 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. 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 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 17ß-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 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. 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 conventional categorisation in pre-, peri- and postmenopause. This is useful for epidemiological research and clinical trials.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Envejecimiento / Menopausia Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Envejecimiento / Menopausia Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos