scholarly journals Impact of air pollution on the rate of hospital admission of children with respiratory diseases

2008 ◽  
Vol 65 (11) ◽  
pp. 814-819 ◽  
Author(s):  
Dragana Nikic ◽  
Dragan Bogdanovic ◽  
Aleksandra Stankovic ◽  
Maja Nikolic ◽  
Zoran Milosevic
Keyword(s):  
Air Pollution ◽  
Hospital Admission ◽  
Sulphur Dioxide ◽  
Air Pollutants ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Respiratory Illness ◽  
Epidemiological Studies ◽  
Black Smoke ◽  
Daily Data

Background/Aim. Numerous epidemiological studies have reported effects of air pollution on the prevalence of respiratory diseases in children. Association between air pollution and hospital admissions for respiratory diseases among children has not been investigated in our country yet. The purpose of this study was to examine impact of ordinary air pollutants (sulfur dioxide and black smoke) in concentrations regularly reported during monitoring on hospital admissions for respiratory diseases among children. Methods. We compared daily data of sulphur dioxide and black smoke concentrations in air with data of daily hospital admissions for respiratory diseases in children 0-14 years of age in two periods (1992-1995 and 2002-2005) in Nis, Serbia. Results. There were totally 4 283 and 3 842 hospital admissions for respiratory diseases in children in the first (1992-1995), and the second (2002-2005) period observed, respectively. The highest number of hospital admissions was registered in children aged 0-4 years, and the lowest one in children aged 10-14 years. Statistically significant influence of pollutants on the number of hospital admissions for respiratory diseases was observed in the period 1992-1995 in children aged 0-4 years. Overall, a 10 ?g/m3 increase in black smoke concentration was associated with a 3.95% (95% CI 1.29-6.67%) increase in the rate of hospital admission for respiratory diseases after three days, 4.50% (1.77-7.30%) after four days and 7.15% (1.21-13.44%) after seven days. A 10 ?g/m3 increase in sulphur dioxide concentration was associated with a 1.29% (0.03-2.56%) increases in the rate of hospital admission for respiratory illness after three days. Influence of air pollution on the number of hospital admissions in older groups of children, as well as in the period 2002-2005 was not statistically significant. Conclusion. Our study suggested that air pollution concentration measured during regular monitoring, out of episodes of pollution, appear to be risk for hospital admissions for respiratory diseases in children age 0-4 years.

scholarly journals Influence of air pollution on hospital admissions for cardiovascular and respiratory diseases in Nis, Serbia

2010 ◽  
Vol 67 (6) ◽  
pp. 473-479 ◽  
Author(s):  
Zoran Milosevic ◽  
Dragan Bogdanovic ◽  
Sladjana Jovic ◽  
Aleksandra Stankovic ◽  
Suzana Milutinovic ◽  
...  
Keyword(s):  
Air Pollution ◽  
Sulphur Dioxide ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Age Groups ◽  
Children And Youth ◽  
Age Group ◽  
Short Term ◽  
Limit Values ◽  
Black Smoke

Background/Aim. In studies that investigate the health effects of short-term air pollution exposure, population-wide changes in acute outcomes such as mortality, hospital admissions and healthcare visits are linked to short-term variations in ambient pollutant concentrations. The aim of this study was to estimate the association between daily outdoor black smoke and sulphur dioxide levels and hospital admissions for cardiovascular and respiratory diseases in Nis, within a period 2001-2005. Methods. A time series analysis was performed using separated regression models for each pollutant and disease group, by age groups and population as a whole. The effects of copollutant, meteorological factors and cyclic oscillations in hospitalization numbers were controlled. Results. A significant increase in hospital admissions was associated with a 10 ?g/m3 increase in the concentration of black smoke, for cardiovascular diseases: 3.14% (< 0.01) in children and youth under 19 years of age, 1.85% (< 0.001) in 19-64 age group, and 0.84% (< 0.05) in all ages, and for respiratory diseases: 1.77% (< 0.05) in 19-64 age group, and 0.91% (< 0.05) in all ages. The effects on hospitalizations for respiratory diseases in children and youth under 19 years of age, and for cardiovascular and respiratory diseases in the elderly were not statistically significant. The increase of sulphur dioxide level was associated with the increased number of hospitalizations, for both cardiovascular and respiratory diseases in all age groups, but the influence was not statistically significant. Conclusion. Outdoor pollutants concentrations in urban area of Nis were below regulated limit values during most of the investigated period days but it is shown that even such a level of pollution has a significant effect on hospital admissions for cardiovascular and respiratory diseases.

scholarly journals Effect of Ambient Fine Particulate (PM2.5) on Hospital Admissions for Respiratory and Cardiovascular Diseases in Wuhan, China

2020 ◽  
Author(s):  
Zhan Ren ◽  
Xingyuan Liu ◽  
Tianyu Liu ◽  
Dieyi Chen ◽  
Kuizhuang Jiao ◽  
...  
Keyword(s):  
Air Pollution ◽  
Cardiovascular Diseases ◽  
Hospital Admission ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Conditional Logistic Regression ◽  
Central China ◽  
Air Pollution Control ◽  
Short Term ◽  
Increased Risk

Abstract Background: The positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of megalopolis. In addition, due to the lack of accurate methods of assessing individual PM2.5 exposure, further studies are still necessary to be launched in China.Methods: The study was conducted in Wuhan, a megacity in central China with about 10.8929 million population. Daily hospital admission records, from October 2016 to December 2018, were obtained from Wuhan Information center of Health and Family Planning, which administrates all the hospitals in Wuhan. The daily air pollution concentration and weather variable in Wuhan during the study period were collected. We developed Land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposures to PM2.5. We also conducted stratification analyses by age, sex and season.Results: A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 for total cardiovascular diseases and 159,365 for total respiratory diseases. We found short-term PM2.5 exposure was associated with increased risk of cardiorespiratory hospital admission in Wuhan. Per 10 μg/m3 increase of PM2.5 at lag0~2 days was associated with 1.23% (95%CI: 1.01–1.45%) and 1.95% (95%CI: 1.63–2.27%) elevated risk of admission from cardiovascular and respiratory diseases respectively. The elderly were at higher PM-induced risks. The associations appeared to be more evident in the cold season than in the warm season.Conclusions: This study contributed evidence to support the short-term effects of PM2.5 on cardiorespiratory hospital admission, which may be helpful for air pollution control and disease prevention in Wuhan.

scholarly journals Air Pollution and Emergency Hospital Admissions—Evidences from Lisbon Metropolitan Area, Portugal

2020 ◽  
Vol 10 (22) ◽  
pp. 7997
Author(s):  
Pedro Franco ◽  
Cristina Gordo ◽  
Eduarda Marques da Costa ◽  
António Lopes
Keyword(s):  
Air Pollution ◽  
Metropolitan Area ◽  
Air Pollutants ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Age Group ◽  
Emergency Hospital ◽  
Emergency Hospital Admissions ◽  
Urban City ◽  
Circulatory Diseases

The relevance of air pollution in the public health agenda has recently been reinforced—it is known that exposure to it has negative effects in the health of individuals, especially in big cities and metropolitan areas. In this article we observed the evolution of air pollutants (CO, NO, NO2, O3, PM10) emissions and we confront them with health vulnerabilities related to respiratory and circulatory diseases (all circulatory diseases, cardiac diseases, cerebrovascular disease, ischemic heart disease, all respiratory diseases, chronic lower respiratory diseases, acute upper respiratory infections). The study is supported in two databases, one of air pollutants and the other of emergency hospital admissions, in the 2005–2015 period, applied to the Lisbon Metropolitan Area. The analysis was conducted through Ordinary Least Squares (OLS) regression, while also using semi-elasticity to quantify associations. Results showed positive associations between air pollutants and admissions, tendentially higher in respiratory diseases, with CO and O3 having the highest number of associations, and the senior age group being the most impacted. We concluded that O3 is a good predictor for the under-15 age group and PM10 for the over-64 age group; also, there seems to exist a distinction between the urban city core and its suburban areas in air pollution and its relation to emergency hospital admissions.

scholarly journals The association between ambient air pollution and pulmonary tuberculosis: a systematic review protocol

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Christian Akem Dimala ◽  
Benjamin Momo Kadia ◽  
Anna Hansell
Keyword(s):  
Systematic Review ◽  
Air Pollution ◽  
Pulmonary Tuberculosis ◽  
Hospital Admission ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
Ambient Air ◽  
Risk Of Bias ◽  
Ambient Air Pollution ◽  
Cochrane Library

Abstract Background There is inconclusive evidence on the association between ambient air pollution and pulmonary tuberculosis-related hospital admission and mortality. This review aims to assess if and to what extent, selected air pollutants are associated to pulmonary tuberculosis (PTB) incidence, hospital admissions and mortality. Methods This will be a systematic review and meta-analysis of studies published in English between January 1st, 1946 and October 31st, 2020, quantitatively assessing the association between air pollutants and PTB incidence, hospital admissions and mortality. A comprehensive search strategy will be used to search the databases: Medline, Embase, Scopus and The Cochrane Library. Retrieved studies will be screened based on the set eligibility criteria and data will be extracted from eligible studies. Extracted data will be analysed on STATA version 14.0 software. Studies included will be assessed for their quality using the respective Study Quality Assessment Tools of the National Health Institute. The quality of the evidence on the study outcomes will be graded using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. The risk of bias will be assessed using Cochrane’s Risk of Bias In Non-randomized Studies-of Interventions (ROBINS-I) tool. Study characteristics, socio-demographic and clinical characteristics across eligible studies will be summarised and presented. Pooled estimates of the measures of association between air pollutants and PTB incidence, hospital admission and mortality will be obtained through random-effect meta-analyses models and the respective I2 test statistics will be reported. Meta-regression analyses will be done in case of significant between-study heterogeneity.

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 Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhan Ren ◽  
Xingyuan Liu ◽  
Tianyu Liu ◽  
Dieyi Chen ◽  
Kuizhuang Jiao ◽  
...  
Keyword(s):  
Air Pollution ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Conditional Logistic Regression ◽  
Warm Season ◽  
Central China ◽  
Air Pollution Control ◽  
Short Term ◽  
Short Term Exposure ◽  
Increased Risk

Abstract Background Positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have used averaged data, which results in variations between monitoring and personal exposure values, creating an inherent and unavoidable type of measurement error. Methods This study was conducted in Wuhan, a megacity in central China with about 10.9 million people. Daily hospital admission records, from October 2016 to December 2018, were obtained from the Wuhan Information center of Health and Family Planning, which administrates all hospitals in Wuhan. Daily air pollution concentrations and weather variables in Wuhan during the study period were collected. We developed a land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5. We also conducted stratification analyses by age, sex, and season. Results A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 cardiovascular disease admissions and 159,365 respiratory disease admissions. Short-term exposure to PM2.5 was associated with an increased risk of a cardiorespiratory hospital admission. A 10 μg/m3 increase in PM2.5 (lag0–2 days) was associated with an increase in hospital admissions of 1.23% (95% CI 1.01–1.45%) and 1.95% (95% CI 1.63–2.27%) for cardiovascular and respiratory diseases, respectively. The elderly were at higher PM-induced risk. The associations appeared to be more evident in the cold season than in the warm season. Conclusions This study contributes evidence of short-term effects of PM2.5 on cardiorespiratory hospital admissions, which may be helpful for air pollution control and disease prevention in Wuhan.

scholarly journals Socioeconomic inequalities and exposure to traffic-related air pollution in the city of São Paulo, Brazil

2014 ◽  
Vol 30 (1) ◽  
pp. 119-125 ◽  
Author(s):  
Mateus Habermann ◽  
Míriam Souza ◽  
Rogério Prado ◽  
Nelson Gouveia
Keyword(s):  
Air Pollution ◽  
Socioeconomic Status ◽  
Air Pollutants ◽  
Epidemiological Studies ◽  
Sao Paulo ◽  
Health Concern ◽  
Traffic Density ◽  
São Paulo ◽  
The Relationship ◽  
The City

Air pollution is a leading public health concern. In addition, poor populations have been reported as showing increased exposure to such pollution. The current study thus aimed to evaluate the socioeconomic status of the population exposed to vehicle-related air pollution in the city of São Paulo, Brazil. The study used data from the 2010 Census on head-of-household’s mean monthly income and the percentage of households connected to the sewage system. Exposure to air pollutants was estimated according to traffic density in the census tract plus a 200m surrounding buffer. The relationship between exposure and socioeconomic variables was analyzed by the Kruskal-Wallis test. Exposure increased with increasing socioeconomic status (p < 0.001). The population with the highest socioeconomic status lives in the most polluted areas of the city. However, place of residence alone is not capable of measuring exposure. The study suggests that future epidemiological studies include other indicators of vulnerability.

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.

Ambient air pollution and cardiovascular diseases: From bench to bedside

2018 ◽  
Vol 25 (8) ◽  
pp. 818-825 ◽  
Author(s):  
Simone Vidale ◽  
Carlo Campana
Keyword(s):  
Risk Factors ◽  
Air Pollution ◽  
Cardiovascular Diseases ◽  
Air Pollutants ◽  
Causes Of Death ◽  
Ambient Air ◽  
Epidemiological Studies ◽  
Ambient Air Pollution ◽  
Particulate Matter Exposure

Air pollution has a great impact on health, representing one of the leading causes of death worldwide. Previous experimental and epidemiological studies suggested the role of pollutants as risk factors for cardiovascular diseases. For this reason, international guidelines included specific statements regarding the contribution of particulate matter exposure to increase the risk of these events. In this review, we summarise the main evidence concerning the mechanisms involved in the processes linking air pollutants to the development of cardiovascular diseases.

Air Pollution as Risk Factor for Mental Disorders: In Search for a Possible Link with Alzheimer’s Disease and Schizophrenia

2021 ◽  
Author(s):  
Luigi Attademo ◽  
Francesco Bernardini
Keyword(s):  
Mental Health ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Air Pollution ◽  
Risk Factor ◽  
Air Pollutants ◽  
Epidemiological Studies ◽  
Increased Risk ◽  
The Central Nervous System

As a global problem that has increasingly been causing worldwide concern, air pollution poses a significant and serious environmental risk to health. Risks of cardiovascular and respiratory diseases, as well as various types of cancer, have been consistently associated with the exposure to air pollutants. More recently, various studies have also shown that the central nervous system is also attacked by air pollution. Air pollution appears to be strongly associated with a higher risk of cognitive defects, neurodevelopmental (e.g., schizophrenia) and neurodegenerative (e.g., Alzheimer’s disease) disorders. Subjects with schizophrenia, as well as subjects with Alzheimer’s disease, experience a variety of neuropsychological deficits and cognitive impairments. This determines an adverse effect on social and professional functioning, and it contributes to the long-term disease burden. However, no final conclusions have been drawn on the matter of the direct relationship between schizophrenia and Alzheimer’s disease. In recent years, the topic of urbanicity and mental health has become increasingly important. Urban exposure to environmental toxins and pollution is currently described as a reliable risk factor for schizophrenia and other psychoses, and it has been demonstrated more and more how exposure to air pollutants is associated with increased risk of dementia. Pathways by which air pollution can target and damage the brain, leading to an increased risk for developing schizophrenia and Alzheimer’s disease, are multiple and complex. Results from epidemiological studies suggest potential associations, but are still insufficient to confirm causality. Further studies are needed in order to verify this hypothesis. And if confirmed, the clinical implications could be of substantial relevance for both public and mental health.

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