Long-term effect of intermediate particulate matter (PM1–2.5) on incident asthma among middle-aged and elderly adults: A national population-based longitudinal study

Li, Shuting; Wei, Jing; Hu, Yaoyu; Liu, Yuhong; Hu, Meiling; Shi, Yadi; Xue, Yongxi; Liu, Mengmeng; Xie, Wu; Guo, Xiuhua; Liu, Xiangtong

doi:10.1016/j.scitotenv.2022.160204

Cited by 13 publications

(2 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Older, heavier, or male participants are more susceptible to PM 1 ’s adverse effects [ 32 ]. Also, long-term exposure to PM 1 leads to hypertension and blood pressure [ 33 ], incident asthma among middle-aged and elderly adults [ 34 ], metabolic syndrome [ 35 ], and lung function in children and adolescents [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

From Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey

Pekdogan,

Udriștioiu,

Yildizhan

et al. 2024

Sensors

View full text Add to dashboard Cite

Air pollution significantly threatens human health and natural ecosystems and requires urgent attention from decision makers. The fight against air pollution begins with the rigorous monitoring of its levels, followed by intelligent statistical analysis and the application of advanced machine learning algorithms. To effectively reduce air pollution, decision makers must focus on reducing primary sources such as industrial plants and obsolete vehicles, as well as policies that encourage the adoption of clean energy sources. In this study, data analysis was performed for the first time to evaluate air pollution based on the SPSS program. Correlation coefficients between meteorological parameters and particulate matter concentrations (PM1, PM2.5, PM10) were calculated in two urban regions of Romania (Craiova and Drobeta-Turnu Severin) and Turkey (Adana). This study establishes strong relationships between PM concentrations and meteorological parameters with correlation coefficients ranging from −0.617 (between temperature and relative humidity) to 0.998 (between PMs). It shows negative correlations between temperature and particulate matter (−0.241 in Romania and −0.173 in Turkey) and the effects of humidity ranging from moderately positive correlations with PMs (up to 0.360 in Turkey), highlighting the valuable insights offered by independent PM sensor networks in assessing and improving air quality.

show abstract

Section: Introductionmentioning

confidence: 99%

From Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey

Pekdogan,

Udriștioiu,

Yildizhan

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Elevated indoor particulate matter (PM 2.5 ) and ultrafine particles (less than 0.1 µm) is of interest because exposure to increased concentrations has been implicated in a range of adverse health effects such as asthma [43,44]. Particulate matter can impinge on central nervous system health as they are toxic to lung and cardiovascular tissue and can enter the brain by crossing the blood-air barrier of the lungs [45].…”

Section: Introductionmentioning

confidence: 99%

Using Sensor Data to Identify Factors Affecting Internal Air Quality within 279 Lower Income Households in Cornwall, South West of England

Johnes

Sharpe

Menneer

et al. 2023

IJERPH

View full text Add to dashboard Cite

(1) Background: Poor air quality affects health and causes premature death and disease. Outdoor air quality has received significant attention, but there has been less focus on indoor air quality and what drives levels of diverse pollutants in the home, such as particulate matter, and the impact this has on health; (2) Methods: This study conducts analysis of cross-sectional data from the Smartline project. Analyses of data from 279 social housing properties with indoor sensor data were used to assess multiple factors that could impact levels of particulate matter. T-Tests and Anova tests were used to explore associations between elevated PM2.5 and building, household and smoking and vaping characteristics. Binary logistic regression was used to test the association between elevated particulate matter and self-reported health; (3) Results: Of the multiple potential drivers of the particulate matter investigated, smoking and vaping were significantly associated with mean PM2.5. Following multivariate analysis, only smoking remained significantly associated with higher mean concentrations. Properties in which <15 cigarettes/day were smoked were predicted to have PM2.5 concentrations 9.06 µg/m3 higher (95% CI 6.4, 12.82, p ≤ 0.001) than those in which residents were non-smokers and 11.82 µg/m3 higher (95% CI 7.67, 18.19, p ≤ 0.001) where >15 cigarettes were smoked; (4) Conclusions: A total of 25% of social housing properties in this study experienced levels of indoor PM greater than WHO guideline levels for ambient air pollution. Although there are many factors that impact air quality, in this study the main driver was smoking. This highlights the importance of targeting smoking in indoor environments in future smoking cessation and control policy and practice and of understanding how pollutants interact in the home environment. There is also a need for further research into the impact on indoor air quality of vaping, particularly due to the rise in use and uncertainty of its long-term impact.

show abstract

Unveiling the potential of a novel portable air quality platform for assessment of fine and coarse particulate matter: in-field testing, calibration, and machine learning insights

Topalović,

Tasić,

Petrović

et al. 2024

Environ Monit Assess

View full text Add to dashboard Cite

Long-term effect of intermediate particulate matter (PM1–2.5) on incident asthma among middle-aged and elderly adults: A national population-based longitudinal study

Cited by 13 publications

References 58 publications

From Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey

From Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey

Using Sensor Data to Identify Factors Affecting Internal Air Quality within 279 Lower Income Households in Cornwall, South West of England

Unveiling the potential of a novel portable air quality platform for assessment of fine and coarse particulate matter: in-field testing, calibration, and machine learning insights

Contact Info

Product

Resources

About