The effect of urban air pollution on mental stress: A nationwide study of university students in China (Preprint)

2021 ◽  
Author(s):  
Weifang Zhang ◽  
Sihui Peng ◽  
Jialu Fu ◽  
Ke Xu ◽  
Hui'hui Wang ◽  
...  

BACKGROUND Studies exploring the relationship between air pollution levels and mental stress have rarely been done, and no studies have been done comparing university student mental stress levels based on regional air pollution levels. OBJECTIVE The objective of this study was to evaluate the association between air pollution and mental stress among university students. METHODS Participants were 11,942 students, who were identified through a multistage survey sampling process conducted in 50 universities. Regional air pollution levels were retrieved from a national database, and mental stress was measured using a perceived stress scale. Both unadjusted and adjusted methods were utilized in the data analyses. RESULTS Mental stress prevalence was 36.9% (95% CI: 24.4%–49.5%). The final model indicated that regional air pollution levels were positively associated with students’ mental stress. CONCLUSIONS This study provided new and direct evidence of the health hazards of air pollution. The findings underscore the need to develop and implement stringent environmental protection policies, while simultaneously raising public awareness of environmental protection. CLINICALTRIAL NONE

2021 ◽  
Author(s):  
Weifang Zhang ◽  
Sihui Peng ◽  
Jialu Fu ◽  
Ke Xu ◽  
Huihui Wang ◽  
...  

BACKGROUND Studies exploring the relationship between air pollution levels and mental stress have rarely been done, and no studies have been done comparing university student mental stress levels based on regional air pollution levels. OBJECTIVE The objective of this study was to evaluate the association between air pollution and mental stress among university students. METHODS Participants were 11,942 students, who were identified through a multistage survey sampling process conducted in 50 universities. Regional air pollution levels were retrieved from a national database, and mental stress was measured using a perceived stress scale. Both unadjusted and adjusted methods were utilized in the data analyses. RESULTS Mental stress prevalence was 36.9% (95% CI: 24.4%–49.5%). The final model indicated that regional air pollution levels were positively associated with students’ mental stress. CONCLUSIONS This study provided new and direct evidence of the health hazards of air pollution. The findings underscore the need to develop and implement stringent environmental protection policies, while simultaneously raising public awareness of environmental protection. CLINICALTRIAL NONE


2021 ◽  
Vol 9 ◽  
Author(s):  
Weifang Zhang ◽  
Sihui Peng ◽  
Jialu Fu ◽  
Ke Xu ◽  
Huihui Wang ◽  
...  

Background: Studies exploring the relationship between air pollution levels and mental stress have rarely been done, and no studies have been done comparing university student mental stress levels based on regional air pollution levels.Objectives: The objective of this study was to evaluate the association between air pollution and mental stress among university students.Methods: Participants were 11,942 students, who were identified through a multistage survey sampling process conducted in 50 universities. Regional air pollution levels were retrieved from a national database, and mental stress was measured using a perceived stress scale. Both unadjusted and adjusted methods were utilized in the data analyses.Results: Mental stress prevalence was 36.9% (95% Confidence Interval: 24.4–49.5%). The final model indicated that regional air pollution levels were positively associated with students' mental stress.Conclusions: This study provided new and direct evidence of the health hazards of air pollution. The findings underscore the need to develop and implement stringent environmental protection policies, while simultaneously raising public awareness of environmental protection.


Author(s):  
Slavica Malinovic-Milicevic ◽  
Dragutin Mihailovic ◽  
Emilija Nikolic-Djoric ◽  
Marija Jevtic

The present study focuses on interpretations of the temporal variations and variations between urban locations of sulfur dioxide (SO2), nitrogen dioxide (NO2) and black smoke (BS) during the period 2001-2008 in the Vojvodina Region of Serbia (VR_S). In this study we examined variations of pollutants concentrations during household heating and non-heating seasons and the effect of household heating, traffic, rainfall and wind speed on the air pollution levels of SO2, NO2 and BS in eight locations. The analyses showed that the annual limit values of these pollutants as recommended by the Serbian regulations and recommendations were not exceeded, unlike the daily limits. Higher SO2 concentrations during household heating season in four locations indicate the substantial impact of house?hold heating on air quality. Positive effects of the use of environmentally cleaner fuels were observed in only two locations. The growing impact of traffic on air pollution is shown by the increasing trend of NO2 during both seasons. Calm wind conditions and an absence of rainfall were found to have incremental effects on pollution levels in most locations.


PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0212206 ◽  
Author(s):  
Yunn Shin Jocelyne Chin ◽  
Laura De Pretto ◽  
Vivek Thuppil ◽  
Matthew J. Ashfold

2021 ◽  
Author(s):  
A.A. Lezhenin ◽  
V.F. Raputa

A joint analysis of cases of high monthly mean concentrations of benzo(a)pyrene measured at stationary stations of Roshydromet in the atmospheric air of the cities of Novosibirsk and Iskitim of the Novosibirsk region is carried out. The influence of meteorological conditions on pollution levels is investigated. Particular attention is paid to the analysis of observational data carried out in the winter months of 2018, for which high monthly mean concentrations of benzo(a)pyrene were recorded in both cities, reaching 15–20 maximum permissible concentrations. Correlation relationships were obtained between measurements at stations in the cities of Novosibirsk and Iskitim, which indicates the determining influence of meteorological conditions on pollution levels.


2018 ◽  
Vol 3 (11) ◽  
pp. 181 ◽  
Author(s):  
Nur Sinem Ozcan ◽  
K. Mert Cubukcu

The air pollution problem remains, although significant improvements have been seen in urban air quality over the last years. This study aims to show that the spatial statistic techniques can well be used to examine and explain the air pollution levels in urban areas. The data for SO2 and NO2 concentrations are measures using passive diffusion tubes at the 67 monitoring sites in the district of Çiğli (Izmir). The tubes were exposed for a 2-week period in August 2015. For the determination of the level of clustering for high values and low values of pollutants, Getis-Ord G* local statistics are calculated. There are five points with high values of SO2 surrounded by low values, three points of NO2, where the results are statistically significant at the 0.10 level. The presence of the industrial zone, the form of fossil fuels used in heating, and topography are strong determinants urban air pollution.Keywords: Urban air pollution, planning decisions, spatial autocorrelation, air pollutants eISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. https://doi.org/10.21834/ajqol.v3i11.134


2016 ◽  
Vol 1 (2) ◽  
pp. 178 ◽  
Author(s):  
Nur Sinem Ozcan ◽  
K. Mert Cubukcu

The air pollution problem remains, although significant improvements have been seen in urban air quality over the last years. Despite the size and variety of studies on urban air pollution, the usage of spatial statistics has been extremely limited. This study aims to show that the spatial statistic techniques can well be used to examine and explain the air pollution levels in urban areas. The data for the sulphur dioxide (SO2) and nitrogen dioxide (NO2) concentrations are measures using passive diffusion tubes at the 67 monitoring sites in the district of Çiğli (Izmir), which are selected through a spatial systematic sampling process. The tubes were exposed for a 2-week period in August 2015. For the determination of the level of clustering for high values and low values of SO2 and NO2 concentrations, Getis-Ord G* local statistics are calculated. There are five points with high values of SO2 surrounded by low values, three points of NO2, where the results are statistically significant at the 0.10 level. The findings indicate that the presence of the industrial zone, the form of fossil fuels (coal or natural gas) used in heating, and topography are the strong determinants urban air pollution.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Urban air pollution; planning decisions; spatial autocorrelation; air pollutants


2011 ◽  
Vol 50 (12) ◽  
pp. 2376-2393 ◽  
Author(s):  
Angadh Singh ◽  
Ahmet Palazoglu

AbstractRegional air pollution episodes occur as a result of increased emissions and prevalence of conducive meteorological conditions. The frequency of occurrence of such favorable conditions on a regional scale may be influenced by large-scale climatic events like ENSO and the Pacific decadal oscillation (PDO). The scarcity of measurements of criteria pollutants, especially ozone and particulate matter (PM), prior to the last 10–15-yr period, limits the scope of observing the influence of climate variability during recent decades on regional pollution levels. The authors propose a novel statistical framework to utilize available measurements and characterize synoptic influences on regional PM pollution in California’s Central Valley during 1998–2008. The identified target conditions are used to develop a classification scheme to scan historical climate datasets dating back to 1948. The procedure identifies exceedance-conducive days during 1950–98, when no PM2.5 measurements were available. Temporal patterns in seasonal frequency of these identified exceedance-conducive days are investigated for temporal patterns driven by ENSO and PDO.


2019 ◽  
Vol 33 (6) ◽  
pp. 730-736 ◽  
Author(s):  
Yeak-Wun Quek ◽  
Chun-Yi Chuang ◽  
Hui-Hsien Pan ◽  
Hai-Lun Sun ◽  
Ko-Huang Lue ◽  
...  

Background Studies have confirmed the detrimental effects of air pollutants on allergic disease patients. However, individuals who are most vulnerable have not been completely identified. Methods Clinical study: During 2007 to 2011, 225 children aged 6 to 15 years with allergic rhinitis (AR) were recruited from a hospital in Taichung City, Taiwan. They were classified based on sensitivity to house dust mites, such as Dermatophagoides pteronyssinus, Blomia tropicalis (Bt), or Dermatophagoides microceras. Correlations between Pediatric Rhinoconjunctivitis Quality of Life Questionnaire (PRQLQ) scores, allergen-specific immunoglobulin E levels, and air pollution levels were evaluated. Epidemiological study: Records of 9868 children with AR who were matched for study years, age, and city of the clinical study were obtained from a national database. Correlations between clinic visits for AR, topical AR drug prescriptions, and air pollution levels were evaluated. The air pollutants included sulfur dioxide (SO2), carbon monoxide (CO), ozone (O3), particles <10 μm in diameter (PM10), particles <2.5 μm in diameter (PM2.5), nitric oxide (NO), nitrogen dioxide (NO2), nonmethane hydrocarbon (NMHC), and methane (CH4). Results Epidemiological study: CO, NO, NO2, and CH4 levels were significantly correlated with topical AR drug prescriptions in boys. However, in girls, only CH4 level was significantly correlated. Clinical study: Positive correlations between the PRQLQ score and air pollutants were noted in boys but not in girls. After adjusting for confounders, correlations between CO, PM2.5, and NO2 levels were noted in boys sensitized to Bt but not in those sensitized to other mites. Conclusion Boys with AR were more vulnerable to air pollutants than girls. Bt-sensitized boys with AR were more vulnerable to air pollutants than girls and those sensitized to other mites.


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