Coping as a predictor of Dysmenorrhea Restricted Dataset

  • Ellen Henderson (Creator)
  • Caitlyn FA Mullins (School of Psychology) (Data Collector)

Dataset

Description

Menstrual pain is thought to effect up to 95% of women worldwide. Interventions for this pain are considered suboptimal by policy makers, health care professionals and patients alike. Intervention development has been hampered by a lack of research into the underlying physical and psychological mechanisms of this pain.

This dataset contains quantitative, cross-sectional data on 79 female participants, all aged between 18-65, who have not previously experienced pregnancy, recruited globally via social media platforms in late 2024.
Participants were asked to complete an online survey around their experiences of menstrual pain, symptoms and related anxiety, as well as three pain coping scales.

All ethical implications of the research were considered by the Ulster University School of Psychology Staff and Postgraduate Filter Committee. Ethical approval for this research project was granted prior to commencement of the study [study approval FCPSY-24-041-A].

Consent has been given by all participants for the sharing of their data on an anonymous basis, with appropriate ethical approval in place from the potential partner institution and the Ulster University School of Psychology Staff and Postgraduate Filter Committee.
Date made available15 May 2025
PublisherUlster University
Date of data production1 Sept 2024 - 1 Dec 2024

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