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RESEARCH PAPER / 2025-03-12

Associations between environmental air pollution, greenspace and apparent biological aging: a cross-sectional study.

Yijing Zhao, Xuena Yang, Dan He, Wenming Wei, Bolun Cheng, Feng Zhang

Key Laboratory of Trace Elements and Endemic Diseases, School of Public Health, National Health and Family Planning Commissionhealth Science Centerjiaotong University, Xi'an, 710061, China.Key Laboratory of Trace Elements and Endemic Diseases, School of Public Health, National Health and Family Planning Commissionhealth Science Centerjiaotong University, Xi'an, 710061, China. · pubmed

Abstract

Aging is a driving factor of various non-communicable diseases. Air pollution and greenspace also affect human health to varying degrees. However, the relationship between air pollution, green space and aging has not been clearly studied. To address this gap, we conducted a study estimating the biological age of 156,690 individuals in the UK Biobank using the PhenoAge algorithm from clinical traits. We defined the residual between biological age and actual age as Phenotypic Age Acceleration (PhenoAgeAccel) to indicate the acceleration of biological aging. Our analysis utilized linear regression models to investigate the relationships between environmental exposures of air pollution/greenspace and PhenoAgeAccel. Stratification analyses were performed based on sex, smoking status, drinking status, body mass index and telomere length. Additionally, we explored potential interactions by setting variable cross-product terms of environment exposures with smoking and drinking status into the models. We observed that air pollution, such as PM

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims that environmental air pollution and greenspace are associated with biological aging as measured by PhenoAgeAccel. This study addresses the relationship between environmental factors and biological aging, which is pertinent to understanding the root causes of aging and potential interventions.

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