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dc.contributor.authorSawyer, G
dc.contributor.authorHowe, LD
dc.contributor.authorFraser, A
dc.contributor.authorClayton, G
dc.contributor.authorLawlor, DA
dc.contributor.authorSharp, GC
dc.date.accessioned2023-11-01T10:20:10Z
dc.date.issued2023-09-01
dc.date.updated2023-10-31T17:16:52Z
dc.description.abstractProblematic menstrual cycle features, including irregular periods, severe pain, heavy bleeding, absence of periods, frequent or infrequent cycles, and premenstrual symptoms, are experienced by high proportions of females and can have substantial impacts on their health and well-being. However, research aimed at identifying causes and risk factors associated with such menstrual cycle features is sparse and limited. This data note describes prospective, longitudinal data collected in the Avon Longitudinal Study of Parents and Children (ALSPAC) on menstrual cycle features, which can be utilised to address the research gaps in this area. Data were collected in both mothers (G0) and index daughters (G1) across 21 and 20 timepoints respectively. This data note details all available variables, proposes methods to derive comparable variables across data collection timepoints, and discusses important limitations specific to each menstrual cycle feature. Also, the data note identifies broader issues for researchers to consider when utilising the menstrual cycle feature data, such as hormonal contraception, pregnancy, breastfeeding, and menopause, as well as missing data and misclassification.en_GB
dc.description.sponsorshipMedical Research Council/Wellcome Trusten_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.description.sponsorshipUniversity of Bristolen_GB
dc.format.extent386-
dc.identifier.citationVol. 8, article 386en_GB
dc.identifier.doihttps://doi.org/10.12688/wellcomeopenres.19774.1
dc.identifier.grantnumber217065en_GB
dc.identifier.grantnumber218495en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134379
dc.identifierORCID: 0000-0003-2906-4035 (Sharp, Gemma C)
dc.identifierScopusID: 56898577600 (Sharp, Gemma C)
dc.language.isoenen_GB
dc.publisherF1000 Research Ltden_GB
dc.rights© 2023 Sawyer G et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectALSPACen_GB
dc.subjectmenstruationen_GB
dc.subjectmenstrual cycleen_GB
dc.subjectcohorten_GB
dc.subjectlongitudinalen_GB
dc.titleMenstrual cycle features in mothers and daughters in the Avon Longitudinal Study of Parents and Children (ALSPAC)en_GB
dc.typeArticleen_GB
dc.date.available2023-11-01T10:20:10Z
dc.identifier.issn2398-502X
dc.descriptionThis is the final version. Available from F1000 Research via the DOI in this record. en_GB
dc.descriptionData availability: Underlying data. ALSPAC data access is through a system of managed open access. The steps below highlight how to apply for access to the data included in this data note and all other ALSPAC data. The datasets presented in this article are linked to ALSPAC project number B4175; please quote this project number during your application. The ALSPAC variable codes highlighted in the dataset descriptions can be used to specify required variables.en_GB
dc.identifier.journalWellcome Open Researchen_GB
dc.relation.ispartofWellcome Open Research, 8
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-09-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-01T10:15:28Z
refterms.versionFCDVoR
refterms.dateFOA2023-11-01T10:20:17Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-09-01


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© 2023 Sawyer G et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2023 Sawyer G et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.