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Background: Falls are a major cause of disability. Whether exposure to ambient air pollution contributes to the occurrence of falls remains unclear.
Objective: To investigate the cross-sectional and longitudinal associations between ambient air pollution and the risk of falls in a community-dwelling adult population.
Methods: We included participants aged ≥45 years from the China Health and Retirement Longitudinal Study. Ambient air pollution was quantified as city levels of PM₂.₅ taken from the China High-Resolution Air Pollution dataset. Self-reported falls were the outcome of interest. Using group-based trajectory modelling, falls trajectories were investigated. Multivariable-adjusted logistic regression models were used to calculate the association between PM2.5 exposure and falls.
Results: A total of 9869 participants were divided into four groups according to their PM₂.₅ exposure: low, moderate, high, severely high. Two falls trajectories, low risk (74.3 %) and high risk (25.7 %), were observed. Exposure to moderate or high, but not severely high levels of PM₂.₅ elevated the risk of falls, compared with low levels of exposure cross-sectionally (Q2 (adj.OR 1.16, 95 % CI = 1.02-1.33), Q3 (adj.OR 1.29, 95 % CI = 1.13-1.47)) and longitudinally (Q3 (adj.OR 1.25, 95 % CI =1.10-1.43)). No significance for P for trend suggested non-linear associations. Females, individuals >60 years and those with cognitive impairment were observed to have a higher risk of falls from exposure to moderate to high levels of ambient air pollution, but the interaction was statistically insignificant.
Conclusion: Being exposed to moderate and high PM₂.₅ levels was associated with an increased risk of falls among adults. The finding highlights the importance of air-quality improvement as a potential intervention to prevent falls in the community.
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http://dx.doi.org/10.1016/j.maturitas.2025.108712 | DOI Listing |
Environ Res
September 2025
Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; National Institute of Health Data Science, Peking University, Beijing 100191, China; Renal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing 1
Objective: The impact of desert-originated dust has been underestimated in fine particulate matters (PM)-related disease burden studies. This study aimed to assess the association of long-term dust PM exposure and all-cause mortality among older adults in China.
Methods: A cohort study using electronic health records (2010-2020) across Weinan, a city in northwest China, which experiences persistently high PM levels and frequent sand and dust storms, included 1,553,724 adults aged ≥45 years.
Environ Res
September 2025
Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Background: Fine particulate matter (PM) has been previously linked to cardiovascular diseases (CVDs). PM is a mixture of components, each of which has its own toxicity profile which are not yet well understood. This study explores the relationship between long-term exposure to PM components and hospital admissions with CVDs in the Medicare population.
View Article and Find Full Text PDFEnviron Pollut
September 2025
Taras Shevchenko National University of Kyiv, 90 Vasylkivska str., Kyiv 03022, Ukraine; Institute of Geophysics, Polish Academy of Sciences, Ksiecia Janusza 64, 01-452 Warsaw, Poland. Electronic address:
This study examines changes in air pollution by magnetic iron compounds and heavy metals, as identified through magnetic susceptibility and Fe, Zn, Cu, Mn, Pb, Ni, and Cr content measurements on air filters collected monthly during the pre-war (PW-01.2016-12.2018) and war (W-08.
View Article and Find Full Text PDFEnviron Pollut
September 2025
China National Environmental Monitoring Centre. Beijing 100012, China. Electronic address:
As the world's largest producer of crude steel, China's iron and steel industry (ISI) is one of the major sources of both air pollutant and carbon dioxide (CO) emissions in the country. To better track emission patterns and assess the synergistic reduction potential under various policies during the 14 Five-Year Plan period, a high-frequency, smokestack-level and national emission database was developed that covers both air pollutants (i.e.
View Article and Find Full Text PDFMar Pollut Bull
September 2025
Department of Chemical Engineering, Jadavpur University, Kolkata 700032, India. Electronic address:
This study presents the first attempt on plant biomonitoring of the polycyclic aromatic hydrocarbons (PAHs) pollution in East Kolkata Wetland (EKW), a Ramsar site in India, using Alternanthera ficoidea (L.). A polluted site, Captain Bheri (CB) and a control area, Kansabati River Basin (KRB) are chosen to compare the severity of the PAHs pollution of the wetland by examining wetland sediment and wetland plant parts (leaf, root, stem, rhizobium).
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