Association Between Long-Term PM1 Exposure and Cognition in Middle-Aged and Older Adults: Evidence from China and the United Kingdom

Early risk detection and management are essential for cognitive preservation. While particulate matter with a diameter smaller than 2.5 μm (PM 2.5 ) is considered harmful to cognition, the effect of smaller, more penetrative particulate matter with a diameter smaller than 1 μm (PM 1 ) requires further evidence and explicit safety thresholds. In this study, we explored the effects of long-term PM 1 exposure on early cognitive impairment and longitudinal cognitive changes in middle-aged and older populations. This study assessed data from two large-scale longitudinal surveys: the China Health and Retirement Longitudinal Study (CHARLS) and UK Biobank (UKB). Cross-sectional, longitudinal, and trajectory analyses were conducted to investigate the association between long-term PM 1 exposure and cognition. Additionally, the exposure–response curves were fitted to determine the customized thresholds. The findings indicated that sustained PM 1 exposure may lead to mild cognitive impairment, particularly at concentrations exceeding 30 and 5.6 μg·m −3 in CHARLS and UKB participants, respectively. Furthermore, we found that long-term PM 1 exposure can contribute to rapid cognitive decline at concentrations exceeding 23 and 5.5 μg·m −3 in CHARLS and UKB participants, respectively. In conclusion, reducing PM 1 exposure can improve the cognitive health of middle-aged and older adults.

Authors

Institutions

Publication Details

Journal
Engineering
Published
2024-09-13
DOI
https://doi.org/10.1016/j.eng.2024.09.006
Citations
3
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Long-Term PM1 Exposure and Cognition in Middle-Aged and Older Adults: Evidence from China and the United Kingdom

Bo Hang, Danrong Chen, Quanquan Guan, Francis Manyori Bigambo et al.
3 citations
Engineering
Air Quality and Health Impacts
0.94
article

Association Between Long-Term PM1 Exposure and Cognition in Middle-Aged and Older Adults: Evidence from China and the United Kingdom

Bo Hang, Danrong Chen, Quanquan Guan, Francis Manyori Bigambo, Qiurun Yu, Antoine M. Snijders, Yankai Xia, Mingzhi Zhang, Xiaochen Zhang, Hongcheng Wei
article en
3 citations

Abstract

Early risk detection and management are essential for cognitive preservation. While particulate matter with a diameter smaller than 2.5 μm (PM 2.5 ) is considered harmful to cognition, the effect of smaller, more penetrative particulate matter with a diameter smaller than 1 μm (PM 1 ) requires further evidence and explicit safety thresholds. In this study, we explored the effects of long-term PM 1 exposure on early cognitive impairment and longitudinal cognitive changes in middle-aged and older populations. This study assessed data from two large-scale longitudinal surveys: the China Health and Retirement Longitudinal Study (CHARLS) and UK Biobank (UKB). Cross-sectional, longitudinal, and trajectory analyses were conducted to investigate the association between long-term PM 1 exposure and cognition. Additionally, the exposure–response curves were fitted to determine the customized thresholds. The findings indicated that sustained PM 1 exposure may lead to mild cognitive impairment, particularly at concentrations exceeding 30 and 5.6 μg·m −3 in CHARLS and UKB participants, respectively. Furthermore, we found that long-term PM 1 exposure can contribute to rapid cognitive decline at concentrations exceeding 23 and 5.5 μg·m −3 in CHARLS and UKB participants, respectively. In conclusion, reducing PM 1 exposure can improve the cognitive health of middle-aged and older adults.

EngineeringVol. 53
Lawrence Berkeley National Laboratory (US), Nanjing Medical University (CN)
Quality Education
Openalex Percentile: Top 25%
Air Quality and Health Impacts
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.