Associations between fine particulate air pollution with small-airway inflammation : A nationwide analysis in 122 Chinese cities
Copyright © 2024 Elsevier Ltd. All rights reserved..
Alveolar nitric oxide is a non-invasive indicator of small-airway inflammation, a key pathophysiologic mechanism underlying lower respiratory diseases. However, no epidemiological studies have investigated the impact of fine particulate matter (PM2.5) exposure on the concentration of alveolar nitric oxide (CANO). To explore the associations between PM2.5 exposure in multiple periods and CANO, we conducted a nationwide cross-sectional study in 122 Chinese cities between 2019 and 2021. Utilizing a satellite-based model with a spatial resolution of 1 × 1 km, we matched long-term, mid-term, and short-term PM2.5 exposure for 28,399 individuals based on their home addresses. Multivariable linear regression models were applied to estimate the associations between PM2.5 at multiple exposure windows and CANO. Stratified analyses were also performed to identify potentially vulnerable subgroups. We found that per interquartile range (IQR) unit higher in 1-year average, 1-month average, and 7-day average PM2.5 concentration was significantly associated with increments of 17.78% [95% confidence interval (95%CI): 12.54%, 23.26%], 8.76% (95%CI: 7.35%, 10.19%), and 4.00% (95%CI: 2.81%, 5.20%) increment in CANO, respectively. The exposure-response relationship curves consistently increased with the slope becoming statistically significant beyond 20 μg/m3. Males, children, smokers, individuals with respiratory symptoms or using inhaled corticosteroids, and those living in Southern China were more vulnerable to PM2.5 exposure. In conclusion, our study provided novel evidence that PM2.5 exposure in long-term, mid-term, and short-term periods could significantly elevate small-airway inflammation represented by CANO. Our results highlight the significance of CANO measurement as a non-invasive tool for early screening in the management of PM2.5-related inflammatory respiratory diseases.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2024 |
---|---|
Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:344 |
---|---|
Enthalten in: |
Environmental pollution (Barking, Essex : 1987) - 344(2024) vom: 01. Feb., Seite 123330 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Lei, Jian [VerfasserIn] |
---|
Links: |
---|
Themen: |
31C4KY9ESH |
---|
Anmerkungen: |
Date Completed 26.02.2024 Date Revised 26.02.2024 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.1016/j.envpol.2024.123330 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM366900714 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM366900714 | ||
003 | DE-627 | ||
005 | 20240229154842.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240114s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.envpol.2024.123330 |2 doi | |
028 | 5 | 2 | |a pubmed24n1306.xml |
035 | |a (DE-627)NLM366900714 | ||
035 | |a (NLM)38199484 | ||
035 | |a (PII)S0269-7491(24)00044-7 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Lei, Jian |e verfasserin |4 aut | |
245 | 1 | 0 | |a Associations between fine particulate air pollution with small-airway inflammation |b A nationwide analysis in 122 Chinese cities |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 26.02.2024 | ||
500 | |a Date Revised 26.02.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2024 Elsevier Ltd. All rights reserved. | ||
520 | |a Alveolar nitric oxide is a non-invasive indicator of small-airway inflammation, a key pathophysiologic mechanism underlying lower respiratory diseases. However, no epidemiological studies have investigated the impact of fine particulate matter (PM2.5) exposure on the concentration of alveolar nitric oxide (CANO). To explore the associations between PM2.5 exposure in multiple periods and CANO, we conducted a nationwide cross-sectional study in 122 Chinese cities between 2019 and 2021. Utilizing a satellite-based model with a spatial resolution of 1 × 1 km, we matched long-term, mid-term, and short-term PM2.5 exposure for 28,399 individuals based on their home addresses. Multivariable linear regression models were applied to estimate the associations between PM2.5 at multiple exposure windows and CANO. Stratified analyses were also performed to identify potentially vulnerable subgroups. We found that per interquartile range (IQR) unit higher in 1-year average, 1-month average, and 7-day average PM2.5 concentration was significantly associated with increments of 17.78% [95% confidence interval (95%CI): 12.54%, 23.26%], 8.76% (95%CI: 7.35%, 10.19%), and 4.00% (95%CI: 2.81%, 5.20%) increment in CANO, respectively. The exposure-response relationship curves consistently increased with the slope becoming statistically significant beyond 20 μg/m3. Males, children, smokers, individuals with respiratory symptoms or using inhaled corticosteroids, and those living in Southern China were more vulnerable to PM2.5 exposure. In conclusion, our study provided novel evidence that PM2.5 exposure in long-term, mid-term, and short-term periods could significantly elevate small-airway inflammation represented by CANO. Our results highlight the significance of CANO measurement as a non-invasive tool for early screening in the management of PM2.5-related inflammatory respiratory diseases | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Air pollution | |
650 | 4 | |a Alveolar nitric oxide | |
650 | 4 | |a Environmental epidemiology | |
650 | 4 | |a Fine particulate matter | |
650 | 4 | |a Small-airway inflammation | |
650 | 7 | |a Air Pollutants |2 NLM | |
650 | 7 | |a Nitric Oxide |2 NLM | |
650 | 7 | |a 31C4KY9ESH |2 NLM | |
650 | 7 | |a Particulate Matter |2 NLM | |
650 | 7 | |a Dust |2 NLM | |
700 | 1 | |a Liu, Cong |e verfasserin |4 aut | |
700 | 1 | |a Meng, Xia |e verfasserin |4 aut | |
700 | 1 | |a Sun, Yiqing |e verfasserin |4 aut | |
700 | 1 | |a Huang, Suijie |e verfasserin |4 aut | |
700 | 1 | |a Zhu, Yixiang |e verfasserin |4 aut | |
700 | 1 | |a Gao, Ya |e verfasserin |4 aut | |
700 | 1 | |a Shi, Su |e verfasserin |4 aut | |
700 | 1 | |a Zhou, Lu |e verfasserin |4 aut | |
700 | 1 | |a Luo, Huihuan |e verfasserin |4 aut | |
700 | 1 | |a Kan, Haidong |e verfasserin |4 aut | |
700 | 1 | |a Chen, Renjie |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Environmental pollution (Barking, Essex : 1987) |d 1987 |g 344(2024) vom: 01. Feb., Seite 123330 |w (DE-627)NLM087741504 |x 1873-6424 |7 nnns |
773 | 1 | 8 | |g volume:344 |g year:2024 |g day:01 |g month:02 |g pages:123330 |
856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.envpol.2024.123330 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 344 |j 2024 |b 01 |c 02 |h 123330 |