scholarly journals Ambient Air Pollution Exposure Association with Anaemia Prevalence and Haemoglobin Levels in Chinese Older Adults

2020 ◽  
Vol 17 (9) ◽  
pp. 3209 ◽  
Author(s):  
Mona Elbarbary ◽  
Trenton Honda ◽  
Geoffrey Morgan ◽  
Yuming Guo ◽  
Yanfei Guo ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Pollutants ◽  
Ambient Air ◽  
Chinese Adults ◽  
Chinese Older Adults ◽  
Ambient Air Pollutants ◽  
Air Pollution Exposure ◽  
Older Chinese ◽  
Pollution Exposure ◽  
Older Chinese Adults

Background: Health effects of air pollution on anaemia have been scarcely studied worldwide. We aimed to explore the associations of long-term exposure to ambient air pollutants with anaemia prevalence and haemoglobin levels in Chinese older adults. Methods: We used two-level linear regression models and modified Poisson regression with robust error variance to examine the associations of particulate matter (PM) and nitrogen dioxide (NO2) on haemoglobin concentrations and the prevalence of anaemia, respectively, among 10,611 older Chinese adults enrolled in World Health Organization (WHO) Study on global AGEing and adult health (SAGE) China. The average community exposure to ambient air pollutants (PM with an aerodynamic diameter of 10 μm or less (PM10), 2.5 μm or less (PM2.5), 1 μm or less (PM1) and nitrogen dioxide (NO2)) for each participant was estimated using a satellite-based spatial statistical model. Haemoglobin levels were measured for participants from dried blood spots. The models were controlled for confounders. Results: All the studied pollutants were significantly associated with increased anaemia prevalence in single pollutant model (e.g., the prevalence ratios associated with an increase in inter quartile range in three years moving average PM10 (1.05; 95% CI: 1.02–1.09), PM2.5 (1.11; 95% CI: 1.06–1.16), PM1 (1.13; 95% CI: 1.06–1.20) and NO2 (1.42; 95% CI: 1.34–1.49), respectively. These air pollutants were also associated with lower concentrations of haemoglobin: PM10 (−0.53; 95% CI: −0.67, −0.38); PM2.5 (−0.52; 95% CI: −0.71, −0.33); PM1 (−0.55; 95% CI: −0.69, −0.41); NO2 (−1.71; 95% CI: −1.85, −1.57) respectively. Conclusions: Air pollution exposure was significantly associated with increased prevalence of anaemia and decreased haemoglobin levels in a cohort of older Chinese adults.

scholarly journals Systemic Inflammation (C-Reactive Protein) in Older Chinese Adults Is Associated with Long-Term Exposure to Ambient Air Pollution

2021 ◽  
Vol 18 (6) ◽  
pp. 3258
Author(s):  
Mona Elbarbary ◽  
Artem Oganesyan ◽  
Trenton Honda ◽  
Geoffrey Morgan ◽  
Yuming Guo ◽  
...  
Keyword(s):  
Air Pollution ◽  
Systemic Inflammation ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Chinese Adults ◽  
Reactive Protein ◽  
Hs Crp ◽  
Older Chinese ◽  
Older Chinese Adults

There is an established association between air pollution and cardiovascular disease (CVD), which is likely to be mediated by systemic inflammation. The present study evaluated links between long-term exposure to ambient air pollution and high-sensitivity C reactive protein (hs-CRP) in an older Chinese adult cohort (n = 7915) enrolled in the World Health Organization (WHO) study on global aging and adult health (SAGE) China Wave 1 in 2008–2010. Multilevel linear and logistic regression models were used to assess the associations of particulate matter (PM) and nitrogen dioxide (NO2) on log-transformed hs-CRP levels and odds ratios of CVD risk derived from CRP levels adjusted for confounders. A satellite-based spatial statistical model was applied to estimate the average community exposure to outdoor air pollutants (PM with an aerodynamic diameter of 10 μm or less (PM10), 2.5 μm or less (PM2.5), and 1 μm or less (PM1) and NO2) for each participant of the study. hs-CRP levels were drawn from dried blood spots of each participant. Each 10 μg/m3 increment in PM10, PM2.5, PM1, and NO2 was associated with 12.8% (95% confidence interval; (CI): 9.1, 16.6), 15.7% (95% CI: 10.9, 20.8), 10.2% (95% CI: 7.3, 13.2), and 11.8% (95% CI: 7.9, 15.8) higher serum levels of hs-CRP, respectively. Our findings suggest that air pollution may be an important factor in increasing systemic inflammation in older Chinese adults.

scholarly journals 0871 Air Pollution Exposure And Adverse Sleep Health Across The Life Course: A Systematic Review

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A332-A332
Author(s):  
J Liu ◽  
T Wu ◽  
J Chen
Keyword(s):  
Systematic Review ◽  
Air Pollution ◽  
Sleep Quality ◽  
Air Pollutants ◽  
Ambient Air ◽  
Poor Sleep ◽  
Sleep Health ◽  
Wide Range ◽  
Air Pollution Exposure ◽  
Pollution Exposure

Abstract Introduction An increasing number of epidemiologic studies have examined air pollution as a possible contributor to adverse sleep health, but the results were mixed. The aims of this systematic review are to investigate and summarize the associations between exposures to air pollutants and various sleep measures across the lifespan. Methods PubMed, CINAHL, Cochrane, Scopus, Web of Science, and PsycInfo were searched through October 2019 to identify original data-based research examining the direct epidemiological associations between air pollution exposures, both ambient and indoor, and various sleep health measures, including sleep quality, sleep duration, sleep disturbances, and daytime sleepiness. Results Twenty-two articles from 2010-2019 spanning a wide range of study populations (from early childhood to elderly) and locations (10 Asian, 4 North American, 3 European, 5 other) were selected for inclusion. Due to variation in both exposure and outcome assessments, conducting a meta-analysis was not plausible. Twenty-one reported a generally positive association between exposure and poor sleep quality. While most studies focused on ambient air pollutants, five assessed the specific effect of indoor exposure. Increased exposure to both ambient and indoor pollutants is associated with increased respiratory sleep problems and a variety of additional adverse sleep outcomes in children and adolescents. In adults, air pollution exposure was most notably related to sleep disordered breathing severity. Conclusion Existing literature generally show negative relationships between exposure to air pollution and sleep health across different ages, countries, and measures. While many associations between air pollution and sleep outcomes have been investigated, the mixed study methodologies and use of subjective air pollution and sleep measures result in a wide range of specific associations. Plausible toxicological mechanisms remain inconclusive. Future studies utilizing objective sleep measures and controlling for all air pollution exposures an individual encounters may help ameliorate variability in the results reported by current published literature. Support yes

scholarly journals Monitoring air pollution effects on children for supporting public health policies (MAPEC_LIFE study)

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
E Ceretti ◽  
F Donato ◽  
D Feretti ◽  
A Carducci ◽  
M Moretti ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Poisson Regression ◽  
Air Pollutants ◽  
Ambient Air ◽  
Buccal Cells ◽  
Early Effect ◽  
Risk Increase ◽  
Air Pollution Exposure ◽  
Pollution Exposure

Abstract Background Children are at high risk of suffering health consequences of air pollution and childhood exposure can increase the risk of developing chronic diseases in adulthood. The MAPEC_LIFE project, funded by EU Life+ Programme (LIFE12 ENV/IT/000614), aimed to evaluate the association between air pollution exposure and biomarkers of early effect in children and to propose guidance for implementing environmental policies. Methods The study was carried out on 6-8-year-old children. Micronucleus (MN) frequency was investigated in buccal cells of children and its association with air pollution exposure was assessed applying multiple Poisson regression mixed models, including socio-demographic and lifestyle factors as confounders. We also dichotomize air pollutants concentration according to the EU Ambient Air Quality Directives and WHO Air Quality Guidelines in all Poisson regression models to assess their risk predictive capacity. Results The project involved 1149 children providing buccal cells in winter and spring. 2139 biological samples were included in the analysis (1093 collected in winter, 1046 in spring). The analysis of the association between MN frequency and air quality parameters found positive associations for PM10, PM2.5, benzene, SO2 and ozone. Considering EU Directives, an association was found between MN frequency and PM10 exposure higher than the annual limit value, with an increase of the risk of 17.9% (95%CIs: 0.6-38.1%). Considering WHO Guidelines, the exposures to levels of PM10, benzene and BaP higher than the annual limits were associated with MN frequency, with a risk increase of 22.5%, 27.8% and 59.8% (95%CIs: 3.9-44.3%, 3.8-57.3%, 21.0-111.1%), respectively. Conclusions The analyses conducted showed an association between MN frequency in buccal cells of children and levels of some air pollutants, even at concentration below EU and WHO thresholds, which hence seemed to be insufficient for protecting children from this type of damage. Key messages Air pollution exposure induced chromosomal damage in buccal cells of children, even at concentration below the law limits. Early biological damage detected might be predictive of the occurrence of future harmful effects in humans, at a population level.

A STUDY ON AMBIENT AIR POLLUTION AND HOSPITAL VISITS OF PATIENTS IN TERTIARY HOSPITAL AT NORTH CHENNAI – AN OBSERVATIONAL STUDY

2021 ◽  
pp. 55-57
Author(s):  
Vengada Krishnaraj S. P ◽  
Roshan Kumar. M ◽  
Vinod Kumar. V
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Pollutants ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Air Pollution Exposure ◽  
Pollution Exposure ◽  
Respiratory Conditions

BACKGROUND: Air pollution is an important environmental risk factor for human health. Evidence is mounting that ambient air pollution exposure is signicantly associated with respiratory diseases. Ambient air pollution, such as nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter (PM), is associated with mortality and morbidity induced by respiratory diseases. The relationship between air pollutants and respiratory hospital admissions has been reported both in developed countries and in developing countries. Other studies have shown an adverse effect of ambient air pollution exposure on morbidity and mortality, as well as on healthcare costs. AIM OF THE STUDY: To investigate the association between ambient air pollutant exposure and daily hospital admissions for respiratory diseases in both childrens and Adults. METHODOLOGY: The daily emergency hospital admissions for respiratory conditions in the north part of Chennai during 2019- 2020 were recorded. Daily counts of hospital admissions for total respiratory conditions (43 admissions day(-1)), acute respiratory infections including pneumonia (18 day(-1)), chronic obstructive pulmonary disease (COPD) (13 day(-1)), and asthma (4.5 day(-1)) among residents of all ages and among children (0-14 yrs) were analysed. The generalized additive models included spline smooth functions of the day of study, mean temperature, mean humidity, inuenza epidemics, and indicator variables for days of the week and holidays. Total respiratory admissions were signicantly associated with the same-day level of NO2 (2.5% increase per interquartile range (IQR) change, 22.3 microg x m(-3)) and CO (2.8% increase per IQR, 1.5 mg x m(-3)). RESULTS: The daily mean concentrations of pollutants across all studies were 65.2 µg/m3 for PM10, 45.8 µg/m3 for PM2.5, 27.7 µg/m3 for SO2, 35.0 µg/m3 forNO2and1698µg/m3for CO, and 81.1µg/m3for O3. For the single variable models, the linear effect of PM10, PM2.5, and PM1 was evaluated by adjusting for the inuence of temperature. The association between hospital admissions for respiratory disease and the level of particulate matter was statistically signicant at 0-3 daylag in females and overall. In males, no statistically signicant effect was found at lag 3 for PM10 or at lag2-3 for PM2.5 and PM1.The associations between PM2.5 and PM1, and risk of admission were no longer signicant at some lags after adjusting for NO2, SO2, CO, and O3 separately. No associations were found at lag 3 after adjusting for NO2 or at lag 2 and 3 after adjusting for O3. The effects of PM2.5 and PM1 were not changed after adjusting for CO but were weaker after adjusting for other air pollutants (NO2, SO2,and O3). CONCLUSION: The ndings of this study demonstrated that O3 was associated with an increased risk of respiratory-related admissions, especially for children <5years old. The effect was stronger in the winter than in the summer with each increase of 10 µg/m3 of O3 in winter, the risk of admissions for respiratory diseases after 5 days of exposure increased by 6.2% (95% CI3.7% - 8.8%). No signicant association between O3 and hospital admissions for wheeze-associated disorders specically was observed in children.

scholarly journals The association between ambient air pollution and birth defects in five major ethnic groups in Liuzhou, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoli Huang ◽  
Jichang Chen ◽  
Dingyuan Zeng ◽  
Zhong Lin ◽  
Carly Herbert ◽  
...  
Keyword(s):  
Air Pollution ◽  
Ethnic Group ◽  
Ethnic Groups ◽  
Birth Defects ◽  
Air Pollutants ◽  
Cleft Lip ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Air Pollution Exposure ◽  
Pollution Exposure

Abstract Background Studies suggest that exposure to ambient air pollution during pregnancy may be associated with increased risks of birth defects (BDs), but conclusions have been inconsistent. This study describes the ethnic distribution of major BDs and examines the relationship between air pollution and BDs among different ethnic groups in Liuzhou city, China. Methods Surveillance data of infants born in 114 registered hospitals in Liuzhou in 2019 were analyzed to determine the epidemiology of BDs across five major ethnic groups. Concentrations of six air pollutants (PM2.5, PM10, SO2, CO, NO2, O3) were obtained from the Liuzhou Environmental Protection Bureau. Logistic regression was used to examine the associations between ambient air pollution exposure and risk of BDs. Results Among 32,549 infants, 635 infants had BDs, yielding a prevalence of 19.5 per 1000 perinatal infants. Dong ethnic group had the highest prevalence of BDs (2.59%), followed by Yao (2.57%), Miao (2.35%), Zhuang (2.07%), and Han (1.75%). Relative to the Han ethnic group, infants from Zhuang, Miao, Yao and Dong groups had lower risks of congenital heart disease, polydactyly, and hypospadias. The Zhuang ethnic group had higher risks of severe thalassemia, cleft lip and/or palate, and syndactyls. Overall BDs were positively correlated with air pollutants PM10 (aOR =1.14, 95% CI:1.12 ~ 2.43; aOR =1.51, 95% CI:1.13 ~ 2.03 for per 10μg/mg3 increment) and CO (aOR =1.36, 95% CI:1.14 ~ 2.48; aOR =1.75, 95% CI:1.02 ~ 3.61 for every 1 mg /m3 increment) in second and third month of pregnancy. SO2 was also significantly associated with BDs in the second month before the pregnancy (aOR = 1.31; 95% CI: 1.20 ~ 3.22) and third month of pregnancy (aOR =1.75; 95% CI:1.02 ~ 3.61). Congenital heart disease, polydactyl, cleft lip and/or palate were also significantly associated with PM10, SO2 and CO exposures. However, no significant association was found between birth defects and O3, PM2.5 and NO2 exposures (P > 0.05). Conclusion This study provides a comprehensive description of ethnic differences in BDs in Southwest China and broadens the evidence of the association between air pollution exposure during gestation and BDs.

scholarly journals The Association between Preterm Birth and Ambient Air Pollution Exposure in Shiyan, China, 2015–2017

2021 ◽  
Vol 18 (8) ◽  
pp. 4326
Author(s):  
Qihao Chen ◽  
Zhan Ren ◽  
Yujie Liu ◽  
Yunfei Qiu ◽  
Haomin Yang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Preterm Birth ◽  
Pregnancy Outcomes ◽  
Air Pollutants ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Air Pollution Exposure ◽  
Exposure Windows ◽  
Pollution Exposure ◽  
Gestational Duration

Shortening of the gestational duration has been found associated with ambient air pollution exposure. However, the critical exposure windows of ambient air pollution for gestational duration remain inconsistent, and the association between ambient air pollution and early term births (ETB, 37 to 38 weeks) has rarely been studied relative to preterm births (PTB, 28–37 weeks). A time-series study was conducted in Shiyan, a medium-sized city in China. Birth information was collected from the Shiyan Maternity and Child Health Hospital, and 13,111 pregnant women who gave birth between 2015 and 2017 were included. Data of the concentrations of air pollutants, including PM10, PM2.5, NO2, and SO2 and meteorological data, were collected in the corresponding gestational period. The Cox regression analysis was performed to estimate the relationship between ambient air pollution exposure and the risk of preterm birth after controlling the confounders, including maternal age, education, Gravidity, parity, fetal gender, and delivery mode. Very preterm birth (VPTB, 28–32 weeks) as a subtype of PTB was also incorporated in this study. The risk of VPTB and ETB was positively associated with maternal ambient air pollution exposure, and the correlation of gaseous pollutants was stronger than particulate matter. With respect to exposure windows, the critical trimester of air pollutants for different adverse pregnancy outcomes was different. The exposure windows of PM10, PM2.5, and SO2 for ETB were found in the third trimester, with HRs (hazard ratios) of 1.06 (95%CI: 1.04, 1.09), 1.07 (95%CI: 1.04, 1.11), and 1.28 (95%CI: 1.20, 1.35), respectively. However, for NO2, the second and third trimesters exhibited similar results, the HRs reaching 1.10 (95%CI: 1.03, 6.17) and 1.09 (95%CI: 1.03,1.15), respectively. This study extends and strengthen the evidence for a significant correlation between the ambient air pollution exposure during pregnancy and the risk of not only PTB but, also, ETB. Moreover, our findings suggest that the exposure windows during pregnancy vary with different air pollutants and pregnancy outcomes.

scholarly journals Differential Effect of Ambient Air Pollution Exposure on Risk of Gestational Hypertension and Preeclampsia

Hypertension ◽  
2019 ◽  
Vol 74 (2) ◽  
pp. 384-390 ◽  
Author(s):  
Carrie J. Nobles ◽  
Andrew Williams ◽  
Marion Ouidir ◽  
Seth Sherman ◽  
Pauline Mendola
Keyword(s):  
Air Pollution ◽  
Differential Effect ◽  
Gestational Hypertension ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Air Pollution Exposure ◽  
Pollution Exposure

scholarly journals Air pollution and hospital admissions and deaths due to respiratory infections in megacity of Tehran: A time series analysis

2021 ◽  
Author(s):  
Zahra Namvar ◽  
Mostafa Hadei ◽  
Seyed Saeed Hashemi ◽  
Elahe Shahhosseini ◽  
Philip K. Hopke ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
Respiratory Infections ◽  
Positive Association ◽  
Ambient Air ◽  
Age Group ◽  
Distributed Lag ◽  
Ambient Air Pollutants ◽  
Short Term Exposure

Introduction: Air pollution is one of the main causes for the significant increase of respiratory infections in Tehran. In the present study, we investigated the associations between short-term exposure to ambient air pollutants with the hospital admissions and deaths. Materials and methods: Health data from 39915 hospital admissions and 2459 registered deaths associated with these hospital admissions for respiratory infections were obtained from the Ministry of Health and Medical Education during 2014-2017. We used the distributed lag non-linear model (DLNM) for the analyses. Results: There was a statistically positive association between PM2.5 and AURI in the age group of 16 years and younger at lags 6 (RR 1.31; 1.05-1.64) and 7 (RR 1.50; 1.09-2.06). AURI admissions was associated with O3 in the age group of 16 and 65 years at lag 7 with RR 1.13 (1.00-1.27). ALRI admissions was associated with CO in the age group of 65 years and older at lag 0 with RR 1.12 (1.02-1.23). PM10 was associated with ALRI daily hospital admissions at lag 0 for males. ALRI admissions were associated with NO2 for females at lag 0. There was a positive association between ALRI deaths and SO2 in the age group of 65 years and older at lags 4 and 5 with RR 1.04 (1.00-1.09) and 1.03 (1.00-1.07), respectively. Conclusion: Exposure to outdoor air pollutants including PM10, PM2.5, SO2, NO2, O3, and CO was associated with hospital admissions for AURI and ALRI at different lags. Moreover, exposure to SO2 was associated with deaths for ALRI.

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