ArticleGlobal health research and policy2026
Associations between environmental exposure, lifestyle, and the risk of respiratory infections among 67890 adults: A population-based cohort analysis using UK Biobank data.
Article in Global health research and policy, 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Randomized, Double-Blind, Placebo-Controlled Clinical Trial Assessing the Efficacy ofMicroorganisms · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Respiratory infections pose a major global health burden. While green spaces are generally thought to benefit respiratory health, research often overlooks the roles of private gardens and the interaction between environmental exposures and lifestyle behaviors. This study uses UK Biobank data to examine the integrated associations of environmental exposures, lifestyle habits, and respiratory infections. Methods: We conducted a large-scale cohort analysis based on UK Biobank data. Environmental exposures were assessed using geospatial data linked to residential addresses, including green space and domestic garden percentage (within 300 m and 1000 m buffers), natural environment accessibility, and coastal proximity. Cox proportional hazards regression models were used to estimate hazard ratios (HRs), adjusting for demographic characteristics (sex, age, BMI), socioeconomic status, and lifestyle behaviors (insomnia, smoking status, alcohol consumption, and physical activity). Results: A total of 46,288 healthy individuals and 21,602 patients with respiratory infection were included. Results revealed a scale-dependent "dual effect" of green space: higher greenspace percentage within a 300 m buffer was protective (HR=0.93, 95% CI: 0.88-0.99), whereas within a 1000 m buffer, it was associated with an increased risk (HR=1.10, 95% CI: 1.02-1.19). Domestic gardens and natural environments at 1000 m were generally protective. Greater distance to the coast was associated with a lower risk of most respiratory infections but a potentially higher risk of tuberculosis. Male gender, older age, higher BMI, smoking, and insomnia were risk factors, while physical activity and alcohol consumption were associated with lower risks. Conclusions: This study provides novel insights into the complex interplay between environmental exposures and lifestyle factors. The divergence between the protective effects of immediate greenness (300 m) and the risks associated with broader vegetation coverage (1000 m) suggests a trade-off between accessibility benefits and potential exposure to aeroallergens. Public health strategies should prioritize "low-allergen" urban planning and promote healthy lifestyles-particularly physical activity and smoking cessation-to mitigate respiratory infection risks.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.