Research Data Leeds Repository

Citation

Guerra, Fabiola (2025) Dataset for '"This completely misunderstood riddle": menstrual health in young people's mental health services'. University of Leeds. [Dataset] https://doi.org/10.5518/1788

Dataset description

This dataset contains 13 anonymised, verbatim transcripts of semi‑structured interviews conducted with mental health professionals who have experience of clinical work with young people in community settings. The interviews explored professionals’ perspectives on menstrual health, including how professionals engage and understand menstrual health in their clinical practice. Interviews were conducted remotely, recorded with consent, and transcribed by the researcher. Each transcript is provided as an individual Word file labelled with a participant pseudonym, and all identifying information has been removed. The dataset was generated as part of the author’s Doctorate in Clinical Psychology (DClinPsy) research project at the University of Leeds. The dataset may be relevant to researchers interested in menstrual health, clinical work, professionals perspectives, qualitative methods, health services, gender studies.

Additional information:	This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days.
Divisions:	Faculty of Medicine and Health > School of Medicine
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/83/ Dataset https://etheses.whiterose.ac.uk/id/eprint/37652/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	02 Jul 2026 08:33
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1569
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Guerra, Fabiola University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Publication date: 2025 Resource language: English Publisher: University of Leeds Contact email: fabiolaguerra.fg@gmail.com Last Modified: 02 Jul 2026 08:35

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