Evidence map›Paper›PMID 42399841›Full record

ArticleBMC public health2026

Association between residential physical environmental exposures and multidimensional successful ageing in the UK biobank.

Ji Zhou, Li He, Huanhuan Wei, Hao Zhao, Zhaoru Yang, Huan Chen, Sana Afzal, Ce Liu, Bin Luo

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ji Zhou *Shanghai Meteorological Bureau, Shanghai, People's Republic of China.
Li He *Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China.
Huanhuan WeiInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China.
Hao ZhaoInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China.
Zhaoru YangInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China.
Huan ChenInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China.
Sana AfzalInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China.
Ce LiuInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China. liuc2017@lzu.edu.cn.
Bin LuoInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, No.119 Donggang West Road, Lanzhou, People's Republic of China. luob@lzu.edu.cn.ORCID http://orcid.org/0000-0001-9324-8942

Funding

Fundamental Research Funds for the Central Universities at Lanzhou University, China lzujbky-2021-ey07Gansu Province "Innovation Stars" Program for Graduate Students in Higher Education Institutions 2026CXZX-110National Natural Science Foundation of China 41805087
6 · The paper itself

Abstract

backgroundSuccessful ageing is a global priority, yet the impact of the physical environment on this multidimensional process is not fully understood. Previous research has predominantly focused on isolated exposures or specific diseases, overlooking the complex physical "exposome." We aimed to evaluate the associations between a comprehensive array of environmental exposures and a holistic Successful Ageing Index (SAI).

methodsIn this cross-sectional study of 28,090 UK Biobank participants aged ≥ 60 years, we constructed a continuous SAI integrating 11 indicators across cognitive, physical, psychosocial, and disease domains. Fourteen residential environmental exposures-including air pollutants, noise, and natural environments-were assessed. We used multivariable linear regression, restricted cubic splines, and mediation analyses to evaluate independent associations, non-linearity, and biological pathways.

resultsIn crude models, most air pollutants were negatively associated, and natural environments positively associated, with the SAI. However, after extensive adjustment for sociodemographic and lifestyle factors, associations with natural environments were largely attenuated. Conversely, PM

conclusionHigher baseline residential traffic-related air pollution indicators were associated with lower multidimensional SAI in this cross-sectional analysis, after adjustment for sociodemographic and lifestyle factors. These findings suggest that reducing traffic-related air pollution may be relevant to population healthy ageing, although longitudinal studies are needed to determine whether such interventions can extend healthy lifespan or reduce late-life morbidity.

Indexed as

AgingEnvironmental ExposureAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedUK BiobankUnited KingdomAir pollutionMediation analysisPhysical environmentSuccessful ageing

Identifiers

PMID42399841
PMCPMC13644028

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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 OpenQuestion graph.