What can Transactional Data reveal about relative prevalence of Menstrual Pain and Period Poverty? Article Swipe

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Anya Skatova , Torty Sivill , Vanja Ljevar , James Goulding ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.31234/osf.io/v5p3w_v1

Background: 91% of those who menstruate reported to experiencing associated pain. Despite the ubiquity of this phenomenon, the prevalence, extent and socio-demographic variation of menstrual pain remains understudied at national levels - whether due to a shortage of applicable data at national scales or other factors.Method: We assess the extent and variation of menstrual pain at a national level. To achieve this, we develop a novel proxy measure for menstrual pain, utilising behavioural data extracted from mass supermarket shopping logs. Baskets where pain and menstrual items co-occur are investigated, and normalized against baskets in which pain or menstrual items occur in isolation. Propensity of menstrual pain purchases are aggregated temporally and geographically across England, prior to linkage with socio-demographic indicators regionally. Results: Findings indicate high prevalence of menstrual pain across England, with 26.7% of customers I our dataset buying pain relief together with menstrual products. People who menstruate are observed to be four times more likely to purchase pain relief with menstrual items than without. Average regional income provides the strongest predictor of menstrual pain co-purchases, with lower income regions exhibiting a 32% lower menstrual-pain purchase than higher income regions.Discussion: The robust presence of a consistent 28-day cycle in menstrual-pain purchases provides empirical evidence for the use of behavioural proxies for menstrual pain alongside traditional measures. Significant regional differences observed in the prevalence of menstrual-pain transactions across England brings into light existing disparities. Future research into improved understanding of sociodemographic factors associated with menstrual pain could inform strategies to predict and prevent menstrual pain and its adverse impacts.

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Period (music) Poverty Menstrual period Transactional leadership Medicine Demography Psychology Economics Physiology Social psychology Economic growth Sociology Acoustics Physics

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Type: preprint
Language: en
Landing Page: https://doi.org/10.31234/osf.io/v5p3w_v1
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DOI: https://doi.org/10.31234/osf.io/v5p3w_v1

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Title: What can Transactional Data reveal about relative prevalence of Menstrual Pain and Period Poverty?

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-03-26

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Authors: Anya Skatova, Torty Sivill, Vanja Ljevar, James Goulding

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Landing page: https://doi.org/10.31234/osf.io/v5p3w_v1

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Concepts: Period (music), Poverty, Menstrual period, Transactional leadership, Medicine, Demography, Psychology, Economics, Physiology, Social psychology, Economic growth, Sociology, Acoustics, Physics

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