ArticleEnvironmental science & technology2026
Education, Employment, Income, and Urban-Rural Differences as Drivers of Social Inequalities in Environmental Exposures: Evidence from the UK Biobank.
Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Translation, validation, and reliability of Örebro Musculoskeletal Screening Questionnaire in Nepali.BMC musculoskeletal disorders · 2026Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigates the social patterning of environmental exposures, examining how three socioeconomic position dimensions influence exposure to air pollution, road traffic noise, and availability of green spaces, in both urban and rural areas in England, Scotland, and Wales. Using data from the UK Biobank cohort study, we assessed associations between three individual markers of socioeconomic position: educational attainment, household income, and employment status, and three environmental exposure domains: residential airborne pollutants, residential road traffic noise, and residential green and blue space. In urban areas, participants with lower educational attainment, lower household income, or those who were unemployed exhibit a higher exposure to airborne pollutants. Household income also influences the vicinity to green spaces and natural environments, with lower incomes experiencing less green and natural environments in both the rural and urban contexts. Retired individuals experienced lower exposure to airborne pollutants and lived in areas with more green spaces or natural environments compared with employed individuals. These patterns were consistent across England, Scotland, and Wales, although some geographical and national differences were observed. The study highlights the complex interplay among socioeconomic factors, geographical location, and environmental exposures. Our findings suggest that socioeconomic position is a key determinant of specific external exposomes, with socioeconomically disadvantaged groups experiencing more adverse environmental conditions.
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Registered trials
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