ArticlePloS one2025
Associations between neighbourhood characteristics and participation in a population-based organised prostate cancer testing (OPT) programme: A register-based study of 50-year-old men.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Prostate Cancer Mortality in Men not Attending a Population-based Screening Program: The 'Good', the 'Bad', and the 'Ugly' After 20-yr Follow-up in the European Randomised study of Screening for Prostate Cancer.European urology open science · 2026Article
- Human papillomavirus in prostate cancer: examining the evidence for a co-factor role.Frontiers in microbiology · 2026Review
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5 authors.
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Abstract
objectivesRegional, population-based organised prostate cancer testing (OPT) began in Sweden in 2020. We investigated associations between participation and neighbourhood characteristics.
settingRegion Västra Götaland's OPT programme.
methodsData were retrieved from the regional OPT database, for all 50-year-old men invited in 2020-2021. Addresses were linked to demographic statistical areas defined and socioeconomically described by Statistics Sweden. Logistic regression models were used to analyse participation based on neighbourhood deprivation, income, education, proportion of non-western immigrants, and degree of urbanisation, categorised in quintiles. Results are reported as unadjusted and adjusted odds ratios (ORs) with confidence intervals (CIs).
resultsUnadjusted participation was significantly lower in the quintiles of neighbourhoods with the highest deprivation index (OR 0.61, 95% CI 0.56-0.67), lowest income (OR 0.64, 95% CI 0.59-0.71), lowest education (OR 0.81, 95% CI 0.74-0.89), and highest proportion of non-Western immigrants (OR 0.70, 95% CI 0.64-0.77), compared with the opposite quintile. After adjustment for the other variables, significant gradients remained for deprivation (OR 0.65, 95% CI 0.57-0.74), proportion of non-Western immigrants (OR 0.78, 95% CI 0.69-0.88), and degree of urbanization (OR 0.78, 95% CI 0.71-0.87 for rural versus urban areas). No adjusted analysis was done for income owing to its strong correlation with deprivation.
conclusionSocioeconomic factors and degree of urbanisation influence participation in organised screening for prostate cancer. Actively inviting men for screening, does not in itself avoid socioeconomic disparity in early detection of prostate cancer.
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