scholarly journals Air Pollutants Reduce the Physical Activity of Professional Soccer Players

2021 ◽  
Vol 18 (24) ◽  
pp. 12928
Author(s):  
Michał Zacharko ◽  
Robert Cichowicz ◽  
Marcin Andrzejewski ◽  
Paweł Chmura ◽  
Edward Kowalczuk ◽  
...  
Keyword(s):  
Physical Activity ◽  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
Well Being ◽  
Soccer Players ◽  
Professional Soccer ◽  
Considerable Problem ◽  
The Impact ◽  
Sporting Performance

The aim of the study was to determine the impact of air quality—analyzed on the basis of the model of integrating three types of air pollutants (ozone, O3; particulate matter, PM; nitrogen dioxide, NO2)—on the physical activity of soccer players. Study material consisted of 8927 individual match observations of 461 players competing in the German Bundesliga during the 2017/2018 and 2018/2019 domestic seasons. The measured indices included players’ physical activities: total distance (TD) and high-intensity effort (HIE). Statistical analysis showed that with increasing levels of air pollution, both TD (F = 13.900(3); p = 0.001) and HIE (F = 8.060(3); p = 0.001) decrease significantly. The worsening of just one parameter of air pollution results in a significant reduction in performance. This is important information as air pollution is currently a considerable problem for many countries. Improving air quality during training sessions and sports competitions will result in better well-being and sporting performance of athletes and will also help protect athletes from negative health effects caused by air pollution.

scholarly journals Air Pollutants Reduce The Physical Activity Of Professional Soccer Players.

2021 ◽  
Author(s):  
Michał Zacharko ◽  
Robert Cichowicz ◽  
Marcin Andrzejewski ◽  
Paweł Chmura ◽  
Edward Kowalczuk ◽  
...  
Keyword(s):  
Physical Activity ◽  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
Well Being ◽  
Soccer Players ◽  
Professional Soccer ◽  
Considerable Problem ◽  
The Impact ◽  
Sporting Performance

Abstract The aim of the study was to determine the impact of air quality – analyzed on the basis of the model of integrating three types of air pollutants (ozone – O3, particulate matter - PM, nitrogen dioxide – NO2) – on the physical activity of soccer players. Study material consisted of 8927 individual match observations of 461 players competing in the German Bundesliga during the 2017/2018 and 2018/2019 domestic seasons. The measured indices included players’ physical activities: total distance (TD) and high intensity effort (HIE). Statistical analysis showed that with increasing levels of air pollution, both TD (F = 13.900(3); p = 0.001) and HIE (F = 8.060(3); p = 0.001) decrease significantly. The worsening of just one parameter of air pollution results in a significant reduction in performance. This is important information as air pollution is currently a considerable problem for many countries. Improving air quality during training sessions and sports competitions will result in better well-being and sporting performance of athletes, and will also help protect athletes from negative health effects caused by air pollution.

scholarly journals A psychophysical measurement on subjective well-being and air pollution

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Yuan Li ◽  
Dabo Guan ◽  
Yanni Yu ◽  
Stephen Westland ◽  
Daoping Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Well Being ◽  
Air Quality Index ◽  
Subjective Well Being ◽  
Atmospheric Conditions ◽  
Survey Techniques ◽  
Physical Effects ◽  
The Impact

AbstractAlthough the physical effects of air pollution on humans are well documented, there may be even greater impacts on the emotional state and health. Surveys have traditionally been used to explore the impact of air pollution on people’s subjective well-being (SWB). However, the survey techniques usually take long periods to properly match the air pollution characteristics from monitoring stations to each respondent’s SWB at both disaggregated spatial and temporal levels. Here, we used air pollution data to simulate fixed-scene images and psychophysical process to examine the impact from only air pollution on SWB. Findings suggest that under the atmospheric conditions in Beijing, negative emotions occur when PM2.5 (particulate matter with a diameter less than 2.5 µm) increases to approximately 150 AQI (air quality index). The British observers have a stronger negative response under severe air pollution compared with Chinese observers. People from different social groups appear to have different sensitivities to SWB when air quality index exceeds approximately 200 AQI.

scholarly journals Examination of Air Pollution’s Relationship with COVID-19, Physical and Mental Health

2020 ◽  
Vol 5 (4) ◽  
pp. 137-140
Author(s):  
Hina Islam ◽  
Irfan Sharif Shakoori ◽  
Fauzia Aslam ◽  
Gohar Ashraf ◽  
Hammad Akram
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Pollutants ◽  
Well Being ◽  
Health Impacts ◽  
Physical And Mental Health ◽  
Adverse Health ◽  
Organ Systems ◽  
The Impact ◽  
Mental Well Being

AbstractAir pollution is a result of natural phenomena or human activities that can cause the release of harmful substances in the environment, leading to adverse health outcomes among living beings. Pollution is associated with adverse health impacts on multiple organ systems among humans. While the respiratory and cardiovascular systems are mainly affected, there are other health issues related to the eyes, skin, brain, blood, immunity, behavioral/mental well-being, and reproduction among exposed individuals. Air pollutants can especially have higher health impacts on people at the extremes of their ages (children and elderly) and on those suffering from underlying respiratory and heart issues. Pollutants such as ozone, sulfur dioxide, particulate matter, and nitrogen dioxide have respiratory effects among children and adults and are associated with increased respiratory diseases, asthma exacerbations, and related hospitalizations. Carbon monoxide interferes with transporting oxygen by forming carboxyhemoglobin leading to cardiovascular, neurological, and respiratory problems. Particulate matter is a heterogeneous mixture of tiny particles of varying compositions found in the atmosphere and has a wide variety of severe health effects. Particulate matter emits from combustion, diesel engines, power generation, and wood-burning, and certain industrial activities. Lead is considered neurotoxic and has more severe consequences among children. Here we summarize characteristics of six criteria air pollutants and associated air quality risk assessment parameters known as the Pollutant Standard Index (PSI). The present manuscript also examines the impact of air pollution on human behavior, mental well-being, and neurological health consequences, as air pollution has been associated with cognitive decline, hyperactivity, dementia, anxiety, depression, aggression, and Alzheimer’s disease-related changes. Lastly, we also attempt to look into any relationship between air pollutants and Coronavirus disease (COVID-19) and examine its possible association with a higher COVID-19 incidence, complications, and mortality.

scholarly journals Measured and modelled air quality trends in Italy over the period 2003–2010

2021 ◽  
Author(s):  
Ilaria D'Elia ◽  
Gino Briganti ◽  
Lina Vitali ◽  
Antonio Piersanti ◽  
Gaia Righini ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
Transport Model ◽  
Statistical Significance ◽  
Average Concentration ◽  
Chemical Transport Model ◽  
Spatial Coverage ◽  
Significant Downward Trend ◽  
The Impact

Abstract. Air pollution harms human health and the environment. Several regulatory efforts and different actions have been taken in the last decades by authorities. Air quality trend analysis represents a valid tool in assessing the impact of these actions taken both at national and local levels. This paper presents for the first time the capability of the Italian national chemical transport model, AMS-MINNI, in capturing the observed concentration trends of three air pollutants, NO2, inhalable particles having diameter less than 10 micrometres (PM10) and O3, in Italy over the period 2003–2010. We firstly analyse the model performance finding it in line with the state of the art of regional models applications. The modelled trends result in a general significant downward trend for the three pollutants and, in comparison with observations, the values of the simulated slopes show the same magnitude for NO2 (in the range −3.0 ÷ −0.5 ug m−3 yr−1), while a smaller variability is detected for PM10 (−1.5 ÷ −0.5 ug m−3 yr−1) and O3-maximum daily 8-hour average concentration (−2.0 ÷ −0.5 ug m−3 yr−1). As a general result, we find a good agreement between modelled and observed trends; moreover, the model allowed to extend both the spatial coverage and the statistical significance of pollutants' concentrations trends with respect to observations, in particular for NO2. We also conduct a qualitative attempt to correlate the temporal concentration trends to meteorological and emission variability. Since no clear tendency in yearly meteorological anomalies (temperature, precipitation, geopotential height) was observed for the period investigated, we focus the discussion of concentrations trends on emissions variations. We point out that, due to the complex links between precursors emissions and air pollutants concentrations, emission reductions do not always result in a corresponding decrease in atmospheric concentrations, especially for those pollutants that are formed in the atmosphere such as O3 and the major fraction of PM10. These complex phenomena are still uncertain and their understanding is of the utmost importance in planning future policies for reducing air pollution and its impacts on health and ecosystems.

scholarly journals Analysis of air pollution exposure in the area of Iasi county – a warning signal for lung health and the risk of developing COPD

Pneumologia ◽  
2021 ◽  
Vol 69 (3) ◽  
pp. 166-173
Author(s):  
Ioana Buculei ◽  
Mona-Elisabeta Dobrin ◽  
Anda Tesloianu ◽  
Cristina Vicol ◽  
Radu-Adrian Crișan Dabija ◽  
...  
Keyword(s):  
Risk Factors ◽  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
World Health ◽  
Annual Reports ◽  
Chronic Obstructive ◽  
The World ◽  
High Concentrations ◽  
The Impact

Abstract Air pollution is a major threat to public health, and the effects of pollution are perceived in all countries of the world, by all social categories, regardless of age. Chronic obstructive pulmonary disease (COPD) has a growing prevalence worldwide and an increasing number of risk factors that exacerbate symptoms and accelerate disease progression. Exposure to air pollution is one of the less studied and less investigated risk factors for COPD. Depending on the size and chemical nature of the pollutant, it can overcome the defence mechanism of the respiratory system and enter the lung tissues, thus causing some respiratory diseases. The World Health Organisation (WHO) reports that six major air pollutants have been identified, namely particulate matter (PM), ground-level ozone, carbon monoxide, sulphur dioxide, nitrogen dioxide and lead. The severe impact of PM exposure is demonstrated by the link between exposure to high concentrations of PM and certain severe diseases such as silicosis, lung cancer, cardiovascular disease and COPD. In Iași County, Romania, air quality measurements are performed by six automatic air quality monitoring stations, and the data obtained are used to create annual reports and these are also available online. Due to the high concentrations of air pollutants, the city of Iași is one of the three topmost polluted cities in Romania. A future assessment on the impact of air pollution on the health of the inhabitants of these cities and the implementation of new methods to improve air quality is needed.

scholarly journals Study of the Effects of Air Pollutants on Human Health Based on Baidu Indices of Disease Symptoms and Air Quality Monitoring Data in Beijing, China

2019 ◽  
Vol 16 (6) ◽  
pp. 1014 ◽  
Author(s):  
Shaobo Zhong ◽  
Zhichen Yu ◽  
Wei Zhu
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Human Health ◽  
Air Pollutants ◽  
Pearson Correlation ◽  
Additive Model ◽  
Health Impact ◽  
Cerebrovascular Diseases ◽  
Relative Risks ◽  
The Impact

There is an increasing body of evidence showing the impact of air pollutants on human health such as on the respiratory, and cardio- and cerebrovascular systems. In China, as people begin to pay more attention to air quality, recent research focused on the quantitative assessment of the effects of air pollutants on human health. To assess the health effects of air pollutants and to construct an indicator placing emphasis on health impact, a generalized additive model was selected to assess the health burden caused by air pollution. We obtained Baidu indices (an evaluation indicator launched by Baidu Corporation to reflect the search popularity of keywords from its search engine) to assess daily query frequencies of 25 keywords considered associated with air pollution-related diseases. Moreover, we also calculated the daily concentrations of major air pollutants (including PM10, PM2.5, SO2, O3, NO2, and CO) and the daily air quality index (AQI) values, and three meteorological factors: daily mean wind level, daily mean air temperature, and daily mean relative humidity. These data cover the area of Beijing from 1 March 2015 to 30 April 2017. Through the analysis, we produced the relative risks (RRs) of the six main air pollutants for respiratory, and cardio- and cerebrovascular diseases. The results showed that O3 and NO2 have the highest health impact, followed by PM10 and PM2.5. The effects of any pollutant on cardiovascular diseases was consistently higher than on respiratory diseases. Furthermore, we evaluated the currently used AQI in China and proposed an RR-based index (health AQI, HAQI) that is intended for better indicating the effects of air pollutants on respiratory, and cardio- and cerebrovascular diseases than AQI. A higher Pearson correlation coefficient between HAQI and RRTotal than that between AQI and RRTotal endorsed our efforts.

scholarly journals Five-Year Analysis of Air Pollution in Istanbul Including Also the Impact of the COVID-19 Pandemic

2021 ◽  
Author(s):  
Nilüfer Aykaç ◽  
Pınar Pazarlı Bostan ◽  
Sabri Serhan Olcay ◽  
Berker Öztürk
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Nitrogen Oxide ◽  
Air Pollutants ◽  
World Health ◽  
Limit Values ◽  
Public Data ◽  
Health Organization ◽  
The Impact

INTRODUCTION: Particulate matter, sulfur dioxide, ozone, and nitrogen oxide compounds are the main air pollutants. The purpose of this research is to analyze the five-year air quality of Istanbul and examine the effect of movement restrictions due to the COVID-19 pandemic on pollutants. METHODS: The public data of the National Air Quality Observation Network has been utilized. The research has been conducted based on the five-year daily averages of PM10, NO2, and NOx pollutants for Istanbul between 2016 - 2020. The data of stations which measured for 75% and more throughout the year has been used. The effect of lockdowns enforced due to COVID-19 was revealed by comparing data of pollutants from April and May of 2020 to the same period in 2019. RESULTS: There were 12 stations between 2016 – 2018, and 39 stations in 2019 and 2020 which measured particulate matter and nitrogen oxide compounds. Only 9 stations reached the standard of measuring pollution for 75% and more throughout the year. The PM10, NO2, and NOx levels measured by all the 9 stations between 2016 - 2020 are above the limit values set by the World Health Organization (WHO). The lockdowns in 2020 have not been helping improvements in air pollution issue. However, there have been regressions of 33.4%, 59.6%, and 52.6% in the overall average particulate matter, nitrogen oxide, and nitrogen dioxide concentrations during the lockdowns between 23-26 of April, 1-3 of May, and 23-26 of May, respectively. DISCUSSION AND CONCLUSION: The air pollution issue in Istanbul has not improved in a meaningful and significant manner for the last five years. There is a significant deficiency in measuring traffic pollution. It has been found that two days long lockdowns and physical movement restrictions due to COVID-19 have significantly contributed to a significant regression in the overall concentration of air pollutants.

The impact analysis of traffic and meteorological factors on air pollution risk in Taiwan, Taipei City

2021 ◽  
Author(s):  
Yu-Ting Lin ◽  
Yuan-Chien Lin
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Linear Regression ◽  
Regression Model ◽  
Air Pollutants ◽  
Stepwise Regression ◽  
Meteorological Factors ◽  
Multivariate Linear Regression ◽  
The Impact ◽  
Significant Factors

<p>Air pollution has always been one of the serious issues around the world, not only related to the large-scale climate environment, but also related to local-scale vehicles-caused air pollutants in the city. Generally, diesel-burning vehicles emit NO<sub>X</sub>, SO<sub>2, </sub>CO; gasoline burning vehicles emit CO, CO<sub>2</sub>, NO<sub>X</sub> respectively. The common air pollutants CO and NO<sub>X</sub> are widely regarded as the primary traffic-caused air pollutants. Therefore in this study, we take vehicle detector data including car speed, car volume, lane occupy as well as meteorological data and the air pollutants concentration in consider. Firstly, we use the Stepwise Regression Model(SRM) to select the significant factors for the target air pollutants and predict them with multivariate linear regression. Secondly, we also combine Long Short-Terms Memory (LSTM) Model to simulate the highly nonlinear and unstationary complex chemical interaction between air pollutants. In this study we got high model accuracy performance in primary pollutants prediction (CO,NO<sub>X</sub>) by including the vehicle detector data with both Multivariate linear regression Model and LSTM model which conclude that the vehicle detector data can significantly improve the quality of model prediction. This process select the statistically significant factors of the pollutants, and also establishes a neural network model including traffic, meteorological factors and air quality which contribute to the air pollutants risk management of government agency.</p><p><strong>Keywords: traffic pollutants, air quality, stepwise regression, LSTM model</strong></p>

An influence of social isolation on the level of physical activity as well as on well-being and mental state of people during the coronavirus COVID-19 pandemic

2019 ◽  
Vol 129 (4) ◽  
pp. 127-131
Author(s):  
Agnieszka Parfin ◽  
Krystian Wdowiak ◽  
Marzena Furtak-Niczyporuk ◽  
Jolanta Herda
Keyword(s):  
Physical Activity ◽  
Social Isolation ◽  
Small Sample Size ◽  
Statistical Tests ◽  
Population Group ◽  
Well Being ◽  
Small Sample ◽  
Subjective Well Being ◽  
Tract Infections ◽  
The Impact

AbstractIntroduction. The COVID-19 is the name of an infectious disease caused by a new strain of coronavirus SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2). It was first diagnosed in December 2019 in patients in Wuhan City, Hubei Province, China. The symptoms are dominated by features of respiratory tract infections, in some patients with a very severe course leading to respiratory failure and, in extreme cases to death. Due to the spread of the infection worldwide, the WHO declared a pandemic in March 2020.Aim. An investigation of the impact of social isolation introduced due to the coronavirus pandemic on selected aspects of life. The researchers focused on observing changes in habits related to physical activity and their connections with people’s subjective well-being and emotional state.Material and methods. The study was carried out within the international project of the group „IRG on COVID and exercise”. The research tool was a standardized questionnaire.Results. Based on the data collected and the analysis of the percentage results, it can be observed that the overwhelming majority of people taking up physical activity reported a better mood during the pandemic. However, statistical tests do not confirm these relationships due to the small sample size.Conclusions. Isolation favours physical activity. Future, in-depth studies, by enlarging the population group, are necessary to confirm the above observations.

scholarly journals Does Resisted Sled Towing Improve the Physical Qualities of Elite Youth Soccer Players of Differing Maturity Status?

2021 ◽  
Author(s):  
Rhys Morris ◽  
Tony Myers ◽  
Stacey Emmonds ◽  
Dave Singleton ◽  
Kevin Till
Keyword(s):  
Body Mass ◽  
Bayesian Regression ◽  
Soccer Players ◽  
Height Velocity ◽  
Regression To The Mean ◽  
Peak Height Velocity ◽  
Maturity Group ◽  
Youth Soccer ◽  
Professional Soccer ◽  
The Impact

Abstract Purpose Sled towing has been shown to be an effective method to enhance the physical qualities in youth athletes. The aim of this study was to evaluate the impact of a 6-week sled towing intervention on muscular strength, speed and power in elite youth soccer players of differing maturity status. Method Seventy-three male elite youth soccer players aged 12–18 years (Pre-Peak Height Velocity [PHV] n = 25; Circa-PHV n = 24; Post-PHV n = 24) from one professional soccer academy participated in this study. Sprint assessments (10 m and 30 m), countermovement jump and isometric mid-thigh pull were undertaken before (T1) and after (T2) a 6-week intervention. The training intervention consisted of 6 weeks (2 × per week, 10 sprints over 20 m distance) of resisted sled towing (linear progression 10%–30% of body mass) during the competitive season. Bayesian regression models analysed differences between T1 and T2 within each maturity group. Results There were minimal changes in strength, speed and power (P = 0.35–0.80) for each maturity group across the 6-week intervention. Where there were changes with greater certainty, they are unlikely to represent real effect due to higher regression to the mean (RTM). Conclusion It appears that a 6-week sled towing training programme with loadings of 10%–30% body mass only maintains physical qualities in elite youth soccer players pre-, circa-, and post-PHV. Further research is required to determine the effectiveness of this training method in long-term athletic development programmes.

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