# Using supermarket loyalty card data to investigate seasonal variation in laxative purchases in the UK

**Authors:** Romana Burgess, Neo Poon, Edward Sloan, James Goulding, Helen Bould, Anya Skatova, Tianzhen Chen, Tianzhen Chen, Tianzhen Chen

PMC · DOI: 10.1371/journal.pdig.0000963 · 2026-03-18

## TL;DR

This study uses UK pharmacy loyalty card data to find seasonal patterns in laxative purchases, suggesting possible misuse for weight management.

## Contribution

The novel use of real-world loyalty card data reveals seasonal trends in laxative purchases linked to weight management behaviors.

## Key findings

- Laxative purchases increased in January compared to December, possibly linked to New Year's resolutions.
- Purchases were higher in some summer months compared to September, aligning with body image concerns.
- Non-stimulant laxatives showed greater seasonal fluctuations than stimulant types.

## Abstract

While laxatives are designed to manage the symptoms of constipation, they are also known to be misused for weight management, particularly by individuals with eating disorders. This study investigates the relationship between laxative purchases and weight management by examining seasonal trends. Using real-world loyalty card data from a major UK pharmacy retailer spanning December 2013 to December 2014, we analyse self-medication purchasing patterns from 748,375 buyers to explore potential links with weight management behaviours. In pre-registered analysis, we use regression models to investigate our hypotheses: (1) the number of doses purchased would be greater in January compared to the December prior, reflecting motivations in relation to “New Year’s resolutions” around weight loss, and (2) doses purchased would be greater in May-August compared to the subsequent September, reflecting an increased focus on body image during the summer. We examine differences between stimulant and non-stimulant laxatives, as stimulants are more commonly misused for weight control due to their rapid effects. To validate our findings, we compare purchasing patterns with those for weight management products over the same periods, and also include negative controls of unrelated products, including painkillers, cold and flu, hay fever, and shampoo. Our findings reveal seasonal variations in laxative purchasing, particularly for non-stimulant medications. Purchases increase in January compared to December and are higher in some summer months compared to September, which may be consistent with seasonal patterns in weight-related behaviours. Non-stimulants exhibit greater seasonal fluctuation than stimulants. Purchases of weight management products follow similar patterns, aligning with established seasonal trends in weight loss behaviours. While laxative purchase trends align with those of weight management products, these patterns provide only indirect evidence and cannot confirm underlying intent, like body image concerns. This work highlights an opportunity for loyalty card data to evaluate impacts of policy regulations in a real-world setting.

Laxatives are commonly used to relieve constipation, but they can also be misused by people trying to lose weight, particularly those struggling with eating disorders. We wanted to understand whether people in the UK might be using laxatives for weight control at certain times of the year. To do this, we analysed loyalty card data from a large UK pharmacy to look at when people bought laxatives over a one-year period. We found that purchases of laxatives increased during the summer months, a time when many people focus on their appearance and may try to lose weight because of the warmer weather. We also saw similar patterns in purchases of diet-related products, which supports the idea that laxatives may sometimes be used for weight management. Our research shows how loyalty card data can offer insights into health behaviours in the general population. These findings could help inform public health efforts and policy, especially around eating disorders and the regulation of over-the-counter medications. This approach could also be applied to other types of health-related behaviours, offering a new way to support early identification and intervention.

## Full-text entities

- **Genes:** H1-1 (H1.1 linker histone, cluster member) [NCBI Gene 3024] {aka H1.1, H1A, H1F1, HIST1, HIST1H1A}, H2BC21 (H2B clustered histone 21) [NCBI Gene 8349] {aka GL105, H2B, H2B-GL105, H2B.1, H2BE, H2BFQ}, H1-5 (H1.5 linker histone, cluster member) [NCBI Gene 3009] {aka H1, H1.5, H1B, H1F5, H1s-3, HIST1H1B}, H3C4 (H3 clustered histone 4) [NCBI Gene 8351] {aka H3/b, H3FB, HIST1H3D}
- **Diseases:** GI infection (MESH:D007239), chronic constipation (MESH:D003248), pain (MESH:D010146), Hay fever (MESH:D006255), gastrointestinal complications (MESH:D005767), indigestion medicines (MESH:D004415), lose (MESH:D011504), dehydration (MESH:D003681), weight (MESH:D015431), illnesses (MESH:D002908), cold and flu (MESH:D007251), cough (MESH:D003371), seasonal allergies (MESH:D016574), diarrhoea (MESH:D003967), eating disorders (MESH:D001068), allergy symptoms (MESH:D004342), ovarian cancer (MESH:D010051)
- **Chemicals:** Micralax (-), sodium picosulfate (MESH:C005701), Dulcolax (MESH:D001726), lactulose (MESH:D007792), sennoside (MESH:D000081226), alcohol (MESH:D000438), sodium citrate (MESH:D000077559), Fybogel (MESH:C018299), paraffin (MESH:D010232), docusate sodium (MESH:D004143), macrogol (MESH:D011092), salt (MESH:D012492), sugar (MESH:D000073893)
- **Species:** Paullinia cupana (guarana, species) [taxon 392747], Homo sapiens (human, species) [taxon 9606]

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12998798/full.md

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Source: https://tomesphere.com/paper/PMC12998798