ArticleArchives of women's mental health2025
Asking the right questions: How PMS question phrasing impacts responses in an English speaking, online sample.
Article in Archives of women's mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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Authors and funding
2 authors.
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Abstract
purposeThe discourse around menstrual cycles is often pathologized, potentially reinforcing negative perceptions of menstruation. The extent to which individuals have internalized the idea that bodily and social experiences before menstruation are the manifestation of ill-health, thereby biasing reports of premenstrual experiences towards negative emotions, remains unclear.
methodsUsing an online experimental design, we investigate whether phrasing the premenstrual experience as having both negative and positive dimensions would enable individuals to report more diverse and positive experiences than are reported in the absence of specific emotional prompts. Participants were recruited using a period tracker app and randomly allocated to one of three conditions: control (describe your premenstrual experience); treatment 1 (describe your negative and positive premenstrual experience); treatment 2 (describe your posititive and negative premenstrual experience). Sentiment analysis was used to derive polarity scores, and a two-part Bayesian model assessed the impact of phrasing order.
resultsAmong 2,637 participants, responses skewed negatively (mean -0.25). Compared to the control, treatment conditions 1 and 2 reported premenstrual experiences 64% and 62% less negative, respectively. Positive themes, notably 'sex, libido, and energy'emerged. The absence of positive prompts in questioning led to more negative and less diverse reports.
conclusionsThese findings support existing literature on the predominance of negative premenstrual phases and underline the need to broaden measurements to encompass positive symptoms. The study also pioneers the use of text analysis for investigating premenstrual symptoms.
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