BackgroundInternational studies suggest cancer incidence rates may vary by protected characteristics. This study aims to identify cancer incidence inequalities among different sociodemographic characteristics in Wales, including ethnicity, occupation, household tenure, and overcrowding, and determine which specific cancer types disproportionately affect certain groups. MethodsCancer incidence data for 2011–20 were obtained from the Welsh Cancer Intelligence and Surveillance Unit and linked to the National Census (2011) for sociodemographic characteristics. Cancer registration data captures all primary tumours for the resident population of Wales. Missing ethnicity data was supplemented using the SAIL Ethnicity Spine with 97·8% of cancer diagnoses linking to an ethnic group. The analysis considered all cancers combined, lung, female breast, prostate and colorectal cancers. Counts, crude rates, European age-standardised rates, and proportions of cancer incidence were calculated for each ethnic group. FindingsAge-standardised rates for all cancers combined are highest in the white ethnic group, but not statistically significantly higher than the mixed/multiple ethnic groups. Rates in the ‘Black/African/Caribbean/Black British’, ‘Asian/Asian British’ and ‘other ethnic group’ are significantly lower than the white ethnic group (by comparison on 95% confidence intervals). All ethnic groups follow similar trends over time at each stage of diagnosis, and the proportions of cancers diagnosed at stage 3 and 4 are comparable across the different ethnic groups. The proportions of cancers diagnosed at stage 1 and 2 varies across different ethnic groups, being lowest in the mixed/multiple ethnic group and highest in the Asian ethnic group, but these differences aren’t statistically significantly different due to small numbers. The results are due to be finalised in summer 2024. InterpretationSince cancer is more prevalent in older ages, and the white ethnic group have an older population compared to the others, this can partially explain the higher incidence rates amongst this group. However, as incidence rates are still higher in this group after accounting for age, it suggests inequalities may exist for this Population. Findings can help targeted prevention and intervention strategies to reduce inequality. FundingNone received.
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