Welsh, C., Bell, A. orcid.org/0000-0002-8268-5853 and Bennett, N. (Accepted: 2025) Intersectional inequalities in advanced stage diagnosis of colorectal cancer in England: a cross-sectional study of National cancer registry data from 2013 to 2019. Journal of Epidemiology and Community Health. ISSN: 0143-005X (In Press)
Abstract
Background
Inequalities in colorectal cancer (CRC) staging and outcomes exist across numerous sociodemographic axes. Early-stage CRC diagnosis is important for treatment success and survival. In this study we investigate inequalities in CRC staging using registry data for 186,713 first-time CRC cancer diagnoses from 2013 to 2019 in England.
Methods
We employ the novel Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) approach to national cancer registry data. We investigate inequalities in CRC staging (early versus advanced stage) via a logistic MAIHDA. We examine a range of intersectional inequalities in CRC staging, across different age, ethnicity, gender, and area-level deprivation groups.
Results
Just over half of the staged cancers in the sample were diagnosed at advanced stage (62%). Results demonstrate notable inequalities in the risk of advanced CRC staging, with a gap of 17 percentage points between the strata with the lowest and highest predicted probability of advanced stage CRC diagnosis. These inequalities exist between age groups, ethnicity, and deprivation level, with no evidence of gender-related inequalities when other variables are controlled. However, unexpectedly, we find these inequalities to be almost entirely additive in nature.
Conclusions
These results suggest substantial inequalities in advanced stage CRC diagnosis exist, but that these are driven largely by universal processes of inequality, rather than disadvantages associated with single intersectional strata beyond an additive layering of disadvantage. Policy tools to encourage prompt screening engagement and symptom awareness campaigns in pre-screening age groups may benefit from considering the groups most disadvantaged by that additive layering.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Author(s). |
| Keywords: | Public Health; Statistics and Research Methods; Epidemiology |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Education |
| Funding Information: | Funder Grant number ECONOMIC & SOCIAL RESEARCH COUNCIL / ESRC UNSPECIFIED ECONOMIC & SOCIAL RESEARCH COUNCIL ES/X011313/1 |
| Date Deposited: | 14 Nov 2025 10:57 |
| Last Modified: | 14 Nov 2025 10:57 |
| Status: | In Press |
| Publisher: | BMJ Publishing Group |
| Refereed: | Yes |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234141 |
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Filename: MAIHDA_CRC_manuscript_final.pdf

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