Exposure to air pollution and risk of hospitalization for cardiovascular diseases amongst Vietnamese adults: Case-crossover study

Nhung, Nguyễn Thị Trang; Schindler, Christian; Chau, Ngo Quy; Hanh, Phan Thi; Hoang, Le Tu; Dien, Tran Minh; Thanh, Nguyen Thi Nhat; Künzli, Nino

doi:10.1016/j.scitotenv.2019.134637

Cited by 45 publications

(23 citation statements)

References 23 publications

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“…Trends to higher risks were found in the elderly (≥85 years), in line with several other studies [8,10,21,[41][42][43], likely due to the decreased physiological, metabolic and compensatory processes in these frail individuals [44].…”

Section: Subanalysessupporting

confidence: 89%

“…The effect sizes reported in our study (Table 4) for PM 10 at 1 km resolution for 2011-2015 are similar to those of a recent case-crossover study carried out in the medium-polluted province of Quang Ninh (Vietnam, mean PM 10 concentration 39.5 µg/m 3 , mean PM 2.5 concentration 26.8 µg/m 3 ). In such a study, the risk of CVD hospitalization among adults (age 15+) increased by about 15% for an IQR increase in PM during the period 2014-2016 [10]. Similar results were also found in a time series (2010-2011) study on elderly (≥60 years) living in a Brazilian, lowly polluted (mean PM 10 concentration 12.7 µg/m 3 , mean PM 2.5 concentration 4.4 µg/m 3 ), medium-sized urban area.…”

Section: Acute Effects Of Pm On Cvd Hospitalizationsmentioning

confidence: 99%

“…Consequently, generalizability may be limited and a selection bias may occur [4]. Indeed, previous studies focusing on medium-sized or lowly polluted areas considered mean concentration levels recorded by a few (1 or 2) monitoring stations for assessing the health effects [10,11]. More in general, the assessment of individual exposures is often derived through averaged values across the monitoring stations at city level or zip-code level [4,12], leading to a possible underestimation of the exposure-outcome relationship [13].…”

Section: Introductionmentioning

confidence: 99%

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Short-Term Effects of Air Pollution on Cardiovascular Hospitalizations in the Pisan Longitudinal Study

Fasola

Maio

Baldacci

et al. 2021

IJERPH

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Air pollution effects on cardiovascular hospitalizations in small urban/suburban areas have been scantly investigated. Such effects were assessed among the participants in the analytical epidemiological survey carried out in Pisa and Cascina, Tuscany, Italy (2009–2011). Cardiovascular hospitalizations from 1585 subjects were followed up (2011–2015). Daily mean pollutant concentrations were estimated through random forests at 1 km (particulate matter: PM10, 2011–2015; PM2.5, 2013–2015) and 200 m (PM10, PM2.5, NO2, O3, 2013–2015) resolutions. Exposure effects were estimated using the case-crossover design and conditional logistic regression (odds ratio—OR—and 95% confidence interval—CI—for 10 μg/m3 increase; lag 0–6). During the period 2011–2015 (137 hospitalizations), a significant effect at lag 0 was observed for PM10 (OR = 1.137, CI: 1.023–1.264) at 1 km resolution. During the period 2013–2015 (69 hospitalizations), significant effects at lag 0 were observed for PM10 (OR = 1.268, CI: 1.085–1.483) and PM2.5 (OR = 1.273, CI: 1.053–1.540) at 1 km resolution, as well as for PM10 (OR = 1.365, CI: 1.103–1.690), PM2.5 (OR = 1.264, CI: 1.006–1.589) and NO2 (OR = 1.477, CI: 1.058–2.061) at 200 m resolution; significant effects were observed up to lag 2. Larger ORs were observed in males and in subjects reporting pre-existent cardiovascular/respiratory diseases. Combining analytical and routine epidemiological data with high-resolution pollutant estimates provides new insights on acute cardiovascular effects in the general population and in potentially susceptible subgroups living in small urban/suburban areas.

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Section: Subanalysessupporting

confidence: 89%

Section: Acute Effects Of Pm On Cvd Hospitalizationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Short-Term Effects of Air Pollution on Cardiovascular Hospitalizations in the Pisan Longitudinal Study

Fasola

Maio

Baldacci

et al. 2021

IJERPH

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“…Likewise, a prospective cohort study from China ( n = 117,575) revealed that long-term residential exposure to PM2.5 increased the risk of incident stroke, ischemic stroke, and hemorrhagic stroke by 13% (HR 1.13, 95% CI 1.09–1.17), 20% (HR 1.20, 95% CI 1.15–1.25), and 12% (HR 1.12, 95% CI 1.05–1.20), respectively, for each increase of 10 μg/m 3 [ 47 ]. In a Vietnamese study adjusting for meteorological factors, indicators of holidays and influenza epidemics, multiple air pollutants were found to increase daily hospital admissions due to a variety of cardiovascular conditions, including hospitalizations for stroke in response to elevated levels of SO 2 [ 48 ]. Recent data from India based on the analyses of 29 Indian cities (with at least 1 Mio.…”

Section: Evidence From Human and Animal Studiesmentioning

confidence: 99%

Ambient Air Pollution Increases the Risk of Cerebrovascular and Neuropsychiatric Disorders through Induction of Inflammation and Oxidative Stress

Hahad

Lelieveld

Birklein

et al. 2020

IJMS

242

107

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Exposure to ambient air pollution is a well-established determinant of health and disease. The Lancet Commission on pollution and health concludes that air pollution is the leading environmental cause of global disease and premature death. Indeed, there is a growing body of evidence that links air pollution not only to adverse cardiorespiratory effects but also to increased risk of cerebrovascular and neuropsychiatric disorders. Despite being a relatively new area of investigation, overall, there is mounting recent evidence showing that exposure to multiple air pollutants, in particular to fine particles, may affect the central nervous system (CNS) and brain health, thereby contributing to increased risk of stroke, dementia, Parkinson’s disease, cognitive dysfunction, neurodevelopmental disorders, depression and other related conditions. The underlying molecular mechanisms of susceptibility and disease remain largely elusive. However, emerging evidence suggests inflammation and oxidative stress to be crucial factors in the pathogenesis of air pollution-induced disorders, driven by the enhanced production of proinflammatory mediators and reactive oxygen species in response to exposure to various air pollutants. From a public health perspective, mitigation measures are urgent to reduce the burden of disease and premature mortality from ambient air pollution.

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“…This USEC data has been used for the study of PM 2.5 levels in the urban environment for different purposes viz. ; to study the trend and characteristics of PM 2.5 ( Chen et al, 2020 ; Fontes et al, 2017 ; Sreekanth et al, 2018 ; Liang et al, 2016 ; Batterman et al, 2016 ; San Martini et al, 2015 ), to compare with other data and model evaluation ( Jiang et al, 2015 ; Li, 2020 ; Matthias et al, 2017 ; Mukherjee and Toohey, 2016 ; Shimadera et al, 2016 ; Uno et al, 2014 ; Wang et al, 2018 ), and to estimate the health impacts ( Han et al, 2020 ; Lowsen and Conway, 2016 ; Luong et al, 2020 ; Nhung et al, 2020 ; Tian et al, 2020 ; Wang et al, 2020 ; You et al, 2016 ; Zhang et al, 2020 ). While most of the studies are carried out in China, few studies have been carried out for other countries including Vietnam ( Hien et al, 2019 ; Luong et al, 2020 ), Japan ( Shimadera et al, 2016 ) Indonesia ( Kusuma et al, 2019 ), Mongolia ( Hill et al, 2017 ), Bangladesh ( Auvee and Bashar, 2019 ), and Singapore ( Liu and Salvo, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Exceedances and trends of particulate matter (PM2.5) in five Indian megacities

Singh

Biswal

2021

Science of The Total Environment

113

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Fine particulate matter (PM 2.5 ) is the leading environmental risk factor that requires regular monitoring and analysis for effective air quality management. This work presents the variability, trend, and exceedance analysis of PM 2.5 measured at US Embassy and Consulate in five Indian megacities (Chennai, Kolkata, Hyderabad, Mumbai, and New Delhi) for six years (2014–2019). Among all cities, Delhi is found to be the most polluted city followed by Kolkata, Mumbai, Hyderabad, and Chennai. The trend analysis for six years for five megacities suggests a statistically significant decreasing trend ranging from 1.5 to 4.19 μg/m 3 (2%–8%) per year. Distinct diurnal, seasonal, and monthly variations are observed in the five cities due to the different site locations and local meteorology. All cities show the highest and lowest concentrations in the winter and monsoon months respectively except for Chennai which observed the lowest levels in April. All the cities consistently show morning peaks (~08: 00–10:00 h) and the lowest level in late afternoon hours (~15:00–16:00 h). We found that the PM 2.5 levels in the cities exceed WHO standards and Indian NAAQS for 50% and 33% of days in a year except for Chennai. Delhi is found to have more than 200 days of exceedances in a year and experiences an average 15 number of episodes per year when the level exceeds the Indian NAAQS. The trends in the exceedance with a varying threshold (20–380 μg/m 3 ) suggest that not only is the annual mean PM 2.5 decreasing in Delhi but also the number of exceedances is decreasing. This decrease can be attributed to the recent policies and regulations implemented in Delhi and other cities for the abatement of air pollution. However, stricter compliance of the National Clean Air Program (NCAP) policies can further accelerate the reduction of the pollution levels.

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Exposure to air pollution and risk of hospitalization for cardiovascular diseases amongst Vietnamese adults: Case-crossover study

Cited by 45 publications

References 23 publications

Short-Term Effects of Air Pollution on Cardiovascular Hospitalizations in the Pisan Longitudinal Study

Short-Term Effects of Air Pollution on Cardiovascular Hospitalizations in the Pisan Longitudinal Study

Ambient Air Pollution Increases the Risk of Cerebrovascular and Neuropsychiatric Disorders through Induction of Inflammation and Oxidative Stress

Exceedances and trends of particulate matter (PM2.5) in five Indian megacities

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