Association between short-term exposure to ambient air pollution and hospital visits for depression in China

Wei, Fusheng; Wu, Mengyin; Qian, Sangni; Li, Die; Jin, Mingjuan; Wang, Jianbing; Shui, Liming; Lin, Hongbo; Tang, Mengling; Chen, Kun

doi:10.1016/j.scitotenv.2020.138207

Cited by 41 publications

(21 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…α is the intercept. , depicts the linear definite term of ( + 1) day moving average concentration of air pollutants and meteorological factor (0 − ) in the district (Borge et al, 2019;Li, 2017;Liang et al, 2020b;Vidale et al, 2017;Wei et al, 2020). log ( , −1 ) was defined as the log-transformed COVID 19 infected cases reported on day ( − 1) in the district, to determine the possible sequential correlation in the collected data (W. Xie and Zhu, 2020).…”

Section: Discussionmentioning

confidence: 99%

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Sahoo

2020

Preprint

View full text Add to dashboard Cite

SARS-CoV-2 (Coronavirus) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors and the daily reported infection cases caused by novel coronavirus in India. The daily positive infected cases, air pollution and meteorological factors in 288 districts were collected from January 30, 2020 to April 23, 2020 in India. Speraman’s correlation and generalised additive model were applied to investigate the correlations of four air pollutants (PM2.5, PM10, NO2 and SO2) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS and WD) with COVID-19 infected cases. The study indicated that a 10 µg/m3 increase during (Lag0-14) in PM2.5, PM10 and NO2 was resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01) and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of COVID 19 infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19 infected cases respectively. In addition, SO2 and relative humidity were negatively associated with COVID-19 infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO2 and for relative humidity respectively. The study recommended that there is significant relationship between air pollutants and meteorological factors with COVID-19 infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.

show abstract

Section: Discussionmentioning

confidence: 99%

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Sahoo

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Multiple biological and physiological mechanisms could help explain the link between air pollution and IHD risk. Air pollution exposure may bring about a range of acute complications that increase cardiovascular burden and IHD risk: it may accelerate the progression of atherosclerosis; reduce plaque stability; promote acute ischemic events; decrease oxygen saturation; and cause hypoxemia [ 24 , 26 , 27 , 28 , 29 ]. In more detail, inhaled pollutants can cause oxidative stress and inflammation, leading to various tissue and organ responses, such as endothelial dysfunction, and further leading to subclinical effects, such as atherosclerosis and, ultimately, to IHD ( Figure A1 ).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, we conducted subgroup analyses by gender (male, female), age (≤65, 65–75, and ≥76 years), season (warm: May to October; cold: November to April), hypertension status (with hypertension, without hypertension), diabetes status (with diabetes, without diabetes), and hyperlipidemia status (with hyperlipidemia, without hyperlipidemia) to explore the potential effect of modifiers on the associations of PM 2.5 , PM 10 , NO 2 , and SO 2 levels with cause-specific IHD hospitalizations. The exposure–response relationship between air pollutants and IHD hospitalizations was further examined by smoothing the air pollutant terms using the natural cubic spline function ( df = 3) [ 24 ].…”

Section: Methodsmentioning

confidence: 99%

Acute Effects of Air Pollution on Ischemic Heart Disease Hospitalizations: A Population-Based Time-Series Study in Wuhan, China, 2017–2018

Liu²,

Huang

et al. 2021

IJERPH

View full text Add to dashboard Cite

Evidence of the acute effects of air pollutants on ischemic heart disease (IHD) hospitalizations based on the entire population of a megacity in central China is lacking. All IHD hospitalization records from 2017 to 2018 were obtained from the Wuhan Information Center of Health and Family Planning. Daily air pollutant concentrations and meteorological data were synchronously collected from the Wuhan Environmental Protection Bureau. A time-series study using generalized additive models was conducted to systematically examine the associations between air pollutants and IHD hospitalizations. Stratified analyses by gender, age, season, hypertension, diabetes, and hyperlipidemia were performed. In total, 139,616 IHD hospitalizations were included. Short-term exposure to air pollutants was positively associated with IHD hospitalizations. The age group ≥76 was at higher exposure risk, and the associations appeared to be more evident in cold seasons. PM2.5 and PM10 appeared to have greater effects on males and those without hypertension or diabetes, whereas NO2 and SO2 had greater effects on females and those with hypertension or diabetes. The risk of IHD hospitalization due to air pollutants was greater in people without hyperlipidemia. Our study provides new evidence of the effects of air pollution on the increased incidence of IHD in central China.

show abstract

“…Exposure to air-polluted environments leads to various health problems [2], such as respiratory infections [3,4], asthma [5,6], stroke, and even lung cancers [7]. Additionally, air pollution, especially fog and haze pollution, also impacts the psychological health [8,9] and mental disorders [10] of tourists and potential tourists, which directly increases healthcare expenditures [11], health costs [12], and other socioeconomic burdens [13,14] and socioeconomic costs [15] for tourists and local residents. Meanwhile, the factors of natural microclimate and the comfort of the natural microclimate as a whole also influence tourists' decision-making for specific destinations or scenic spots, impacting tourists' behavior and the constant and dynamic tourist flow [16] from one region to another because of dynamic natural microclimate changes [17,18].…”

Section: Introductionmentioning

confidence: 99%

Fresh Air–Natural Microclimate Comfort Index: A New Tourism Climate Index Applied in Chinese Scenic Spots

Yang

Bilal

et al. 2022

Sustainability

View full text Add to dashboard Cite

Severe air pollution in China has caused significant tourism transformation for pursuing fresh air in microclimate tourism markets. Contemporary practices simply measure the air freshness of destinations and scenic spots using a single index, i.e., primarily negative oxygen ions (O2−). This index cannot comprehensively reveal scenic spots’ air freshness degree and determine the dynamic interactions between air freshness and scenic spots’ tourism development, thus inducing an illusion of air freshness for the target scenic spots. Meanwhile, the current fresh air index primarily ignores connections with the microclimate index of scenic spots and cannot provide a multidimensional index for scenic spots to take advantage of both air and microclimate resources for diverse tourism products and service production. Therefore, this study proposes a multidimensional index, the fresh air–natural microclimate comfort index (FAI-NMCI), connecting the fresh air index with the natural microclimate comfort index of scenic spots together from transdisciplinary and multidisciplinary perspectives. This study utilizes FAI-NMCI to measure four scenic spots of Fujian Province, and reveals in-depth results of scenic spots’ air freshness and natural microclimate comfort degree together. The results demonstrate that the four scenic spots in Fujian province of China had different levels of air freshness degree and natural microclimate comfort degree in 2018. The natural scenic spots were mostly distributed in Healing Fresh, Very Fresh, and Super Fresh levels of FAI with the most comfortable and comfortable levels of NMCI. The cultural scenic spots were mostly distributed in Relatively Fresh and Healing Fresh levels of FAI with the most comfortable and comfortable levels of NMCI. Meanwhile, the FAI-NMCI of natural and cultural scenic spots also had significant differences within 24 Jieqi, which will promote dynamic and creative utilization of those resources in microclimate tourism development.

show abstract

Association between short-term exposure to ambient air pollution and hospital visits for depression in China

Cited by 41 publications

References 59 publications

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Acute Effects of Air Pollution on Ischemic Heart Disease Hospitalizations: A Population-Based Time-Series Study in Wuhan, China, 2017–2018

Fresh Air–Natural Microclimate Comfort Index: A New Tourism Climate Index Applied in Chinese Scenic Spots

Contact Info

Product

Resources

About