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Shabani Isenaj Z, Moshammer H, Berisha M, Weitensfelder L. Determinants of Knowledge, Attitudes, Perceptions and Behaviors Regarding Air Pollution in Schoolchildren in Pristina, Kosovo. CHILDREN (BASEL, SWITZERLAND) 2024; 11:128. [PMID: 38275438 PMCID: PMC10814697 DOI: 10.3390/children11010128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/08/2024] [Accepted: 01/16/2024] [Indexed: 01/27/2024]
Abstract
Air pollution poses a significant public health challenge, and Kosovo, a low-middle-income country in the Balkan peninsula, suffers from particularly poor air quality, especially around the area of the capital Pristina. The availability of accurate and timely information is crucial in mitigating the adverse effects of air pollution. This study aimed at evaluating the knowledge, attitudes, behaviors, and perceptions (KAPB) related to poor air quality in Pristina's low-middle schools. Furthermore, the study explored the connections between these factors and socio-demographic and health attributes and provided valuable inputs for the development of future strategies and policies in air pollution mitigation. Regression analysis provided insights into how these various factors interacted with KAPB scores. The results revealed limited knowledge about air pollution sources and risks among pupils, with insufficient awareness of reliable information sources. While attitudes were generally positive, they declined with higher grade levels. Parental education significantly influenced knowledge and attitudes, and better health correlated with more positive attitudes. Perceptions of air pollution risks were influenced by grade, gender, and parental education, with better-educated parents associated with improved perceptions. Overall behavior scores increased with higher levels of parental education. Understanding the factors that shape pupils' responses to air pollution is critical for strategy and policy development. These findings can guide strategies to enhance environmental awareness and promote healthy behavior, helping address the pressing issue of air pollution in the country.
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Affiliation(s)
- Zana Shabani Isenaj
- Medical Faculty, University of Hasan Pristina, George Bush 31, 10000 Pristina, Kosovo; (Z.S.I.); (M.B.)
| | - Hanns Moshammer
- Department of Environmental Health, Zentrum für Public Health, Medical University of Vienna, 1090 Vienna, Austria;
| | - Merita Berisha
- Medical Faculty, University of Hasan Pristina, George Bush 31, 10000 Pristina, Kosovo; (Z.S.I.); (M.B.)
| | - Lisbeth Weitensfelder
- Department of Environmental Health, Zentrum für Public Health, Medical University of Vienna, 1090 Vienna, Austria;
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Yang Y, Zhou L, Zhang W, Yang Y, Liu Y, Pan L, Huo Y, Wang R, Ba Y, Ren X, Bai Y, Cheng N. Association between air pollutants and neural tube defects during pregnancy in Lanzhou, China: a time series analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:4826-4836. [PMID: 35976594 DOI: 10.1007/s11356-022-21962-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
Few studies have evaluated the association between air pollutants and neural tube defects (NTDs). Moreover, the existing research ignores the lag effect of air pollution on health and provides inconsistent epidemiological evidence. We aim to estimate the association between air pollution and NTDs during the first trimester of pregnancy and identify specific susceptible windows. Birth data was collected from the Birth Defects Surveillance Network in Lanzhou from September 1, 2014, to December 31, 2019. Air quality and meteorological data were collected from ambient air monitoring stations and China Meteorological Data Network. The log connection function of the Poisson distribution function is used to establish a DLNM model to estimate the exposure-effect relationship and exposure-lag relationship association between air pollutants levels and NTDs. There were 320,787 perinatal infants in Lanzhou from September 1, 2014, to December 31, 2019, and 486 cases of NTDs (1.5‰). The result indicates that exposure to inhalable particles (PM10) at lag 2-4 weeks was significantly associated with the risk of NTDs, with the most significant impact at the lag 2 week (RR=1.048, 95%CI, 1.015-1.084). Exposure to fine particulate matter (PM2.5) at the lag 2 week was significantly associated with the risk of NTDs, with the most significant impact at the lag 2 week (RR=1.077, 95%CI, 1.004-1.155). Exposure to sulfur dioxide (SO2) and nitrogen dioxide (NO2) at lag 3-6weeks was significantly associated with the risk of NTDs, with the most significant impact at the lag 4 week (RR=1.220, 95%CI, 1.105-1.348; RR=1.143, 95%CI, 1.048-1.245). This study provides further evidence that exposure to air pollutants in the first trimester of pregnancy significantly increases the risk of neural tube defects.
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Affiliation(s)
- Yan Yang
- Center for Reproductive Health and Birth Defects at Lanzhou University, Basic Medical College, Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Li Zhou
- Maternal and Child Health Care Hospital of Lanzhou, Lanzhou, Gansu, China
| | - Wenling Zhang
- Center for Reproductive Health and Birth Defects at Lanzhou University, Basic Medical College, Lanzhou University, Lanzhou, Gansu, People's Republic of China
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Yanjun Yang
- Maternal and Child Health Care Hospital of Lanzhou, Lanzhou, Gansu, China
| | - Yanyan Liu
- Center for Reproductive Health and Birth Defects at Lanzhou University, Basic Medical College, Lanzhou University, Lanzhou, Gansu, People's Republic of China
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Li Pan
- Maternal and Child Health Care Hospital of Lanzhou, Lanzhou, Gansu, China
| | - Yanbei Huo
- Center for Reproductive Health and Birth Defects at Lanzhou University, Basic Medical College, Lanzhou University, Lanzhou, Gansu, People's Republic of China
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Ruijuan Wang
- Maternal and Child Health Care Hospital of Lanzhou, Lanzhou, Gansu, China
| | - Yupei Ba
- Center for Reproductive Health and Birth Defects at Lanzhou University, Basic Medical College, Lanzhou University, Lanzhou, Gansu, People's Republic of China
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Xiaoyu Ren
- Center for Reproductive Health and Birth Defects at Lanzhou University, Basic Medical College, Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Yana Bai
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, People's Republic of China
| | - Ning Cheng
- Center for Reproductive Health and Birth Defects at Lanzhou University, Basic Medical College, Lanzhou University, Lanzhou, Gansu, People's Republic of China.
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Sahani M, Othman H, Kwan SC, Juneng L, Ibrahim MF, Hod R, Zaini ZI, Mustafa M, Nnafie I, Ching LC, Dambul R, Varkkey H, Phung VLH, Mamood SNH, Karim N, Abu Bakar NF, Wahab MIA, Zulfakar SS, Rosli Y. Impacts of climate change and environmental degradation on children in Malaysia. Front Public Health 2022; 10:909779. [PMID: 36311578 PMCID: PMC9614245 DOI: 10.3389/fpubh.2022.909779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 09/12/2022] [Indexed: 01/22/2023] Open
Abstract
The impacts of climate change and degradation are increasingly felt in Malaysia. While everyone is vulnerable to these impacts, the health and wellbeing of children are disproportionately affected. We carried out a study composed of two major components. The first component is an environmental epidemiology study comprised of three sub-studies: (i) a global climate model (GCM) simulating specific health-sector climate indices; (ii) a time-series study to estimate the risk of childhood respiratory disease attributable to ambient air pollution; and (iii) a case-crossover study to identify the association between haze and under-five mortality in Malaysia. The GCM found that Malaysia has been experiencing increasing rainfall intensity over the years, leading to increased incidences of other weather-related events. The time-series study revealed that air quality has worsened, while air pollution and haze have been linked to an increased risk of hospitalization for respiratory diseases among children. Although no clear association between haze and under-five mortality was found in the case-crossover study, the lag patterns suggested that health effects could be more acute if haze occurred over a longer duration and at a higher intensity. The second component consists of three community surveys on marginalized children conducted (i) among the island community of Pulau Gaya, Sabah; (ii) among the indigenous Temiar tribe in Pos Kuala Mu, Perak; and (iii) among an urban poor community (B40) in PPR Sg. Bonus, Kuala Lumpur. The community surveys are cross-sectional studies employing a socio-ecological approach using a standardized questionnaire. The community surveys revealed how children adapt to climate change and environmental degradation. An integrated model was established that consolidates our overall research processes and demonstrates the crucial interconnections between environmental challenges exacerbated by climate change. It is recommended that Malaysian schools adopt a climate-smart approach to education to instill awareness of the impending climate change and its cascading impact on children's health from early school age.
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Affiliation(s)
- Mazrura Sahani
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Hidayatulfathi Othman
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Soo Chen Kwan
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Liew Juneng
- Centre for Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia
| | - Mohd Faiz Ibrahim
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Rozita Hod
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Zul'Izzat Ikhwan Zaini
- Faculty of Health Sciences, Universiti Teknologi Mara, Penang Branch, Pulau Pinang, Malaysia
| | - Maizatun Mustafa
- Legal Practice Department, Ahmad Ibrahim Kulliyyah of Laws, International Islamic University, Kuala Lumpur, Malaysia
| | - Issmail Nnafie
- Climate and Environment, UNICEF Malaysia, Putrajaya, Malaysia
| | - Lai Che Ching
- Faculty of Humanities, Arts and Heritage, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
| | - Ramzah Dambul
- Faculty of Humanities, Arts and Heritage, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
| | - Helena Varkkey
- Department of International and Strategic Studies, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Vera Ling Hui Phung
- Center for Climate Change Adaptation, National Institute for Environmental Studies (NIES), Tsukuba, Japan
| | - Siti Nur Hanis Mamood
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Norhafizah Karim
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nur Faizah Abu Bakar
- Center for Diagnostic Therapeautic and Investigative Studies (CODTIS), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Muhammad Ikram A. Wahab
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Siti Shahara Zulfakar
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yanti Rosli
- Center for Toxicology and Health Risk Studies (CORE), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia,*Correspondence: Yanti Rosli
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Liu L, Wang B, Qian N, Wei H, Yang G, Wan L, He Y. Association between ambient PM 2.5 and outpatient visits of children's respiratory diseases in a megacity in Central China. Front Public Health 2022; 10:952662. [PMID: 36249195 PMCID: PMC9561247 DOI: 10.3389/fpubh.2022.952662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 09/06/2022] [Indexed: 01/24/2023] Open
Abstract
Objective To explore the relationship between ambient PM2.5 level and outpatient visits of children with respiratory diseases in a megacity, Zhengzhou, in central China. Methods We collected daily outpatient visit data, air pollutant data, and meteorological data at the monitoring points of Zhengzhou from the time period 2018 to 2020 and used Spearman's rank correlation to analyze the correlation between children's respiratory outpatient visits and air pollutants and meteorological factors. Generalized additive models were used to analyze the association between PM2.5 exposures and children's respiratory outpatient visits. A stratified analysis was further carried out for the seasons. Results From 2018 to 2020, the total number of outpatients with children's respiratory diseases was 79,1107, and the annual average concentrations of PM2.5, PM10, SO2, NO2, CO, and O3-8h in Zhengzhou were respectively 59.48 μg/m3, 111.12 μg/m3, 11.10 μg/m3, 47.77 μg/m3, 0.90 mg/m3 and 108.81 μg/m3. The single-pollutant model showed that the risk of outpatient visits for children with respiratory disease increased by 0.341% (95%CI: 0.274-0.407%), 0.532% (95%CI: 0.455-0.609%) and 0.233% (95%CI: 0.177-0.289%) for every 10 μg/m3 increase in PM2.5 with a 3-day lag, 1-day lag, and 1-day lag respectively for the whole year, heating period, and non-heating period. The multi-pollutant model showed that the risk of PM2.5 on children's respiratory disease visits was robust. The excess risk of PM2.5 on children's respiratory disease visits increased by 0.220% (95%CI: 0.147-0.294%) when SO2 was adjusted. However, the PM2.5 effects were stronger during the heating period than during the non-heating period. Conclusion The short-term exposure to PM2.5 was significantly associated with outpatient visits for children's respiratory diseases. It is therefore necessary to strengthen the control of air pollution so as to protect children's health.
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Affiliation(s)
- Le Liu
- Department of Environment Health, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Bingya Wang
- Department of Nutrition, People's Hospital of Zhengzhou, Zhengzhou, China
| | - Nana Qian
- Department of Radiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huiyan Wei
- Department of Social Medicine and Health Administration, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Guangmei Yang
- Department of Social Medicine and Health Administration, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Leping Wan
- Department of Social Medicine and Health Administration, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yan He
- Department of Social Medicine and Health Administration, School of Public Health, Zhengzhou University, Zhengzhou, China,*Correspondence: Yan He
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5
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Ibrahim MF, Hod R, Ahmad Tajudin MAB, Wan Mahiyuddin WR, Mohammed Nawi A, Sahani M. Children's exposure to air pollution in a natural gas industrial area and their risk of hospital admission for respiratory diseases. ENVIRONMENTAL RESEARCH 2022; 210:112966. [PMID: 35202623 DOI: 10.1016/j.envres.2022.112966] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/27/2022] [Accepted: 02/13/2022] [Indexed: 06/14/2023]
Abstract
The rapid expansion of the natural gas industry to meet the global demand have raised environmental health concerns. Few studies have found that areas with natural gas industrial activity have poor air quality. However, the negative health impacts of ambient air pollution in a natural gas industrial area remain unclear. This study aimed to explore the relationship between short-term exposure to air pollution and hospital admissions for respiratory diseases among children in a natural gas industrial area in Bintulu, Malaysia. Daily hospital admissions for respiratory diseases among children were collected from a hospital in Bintulu from 2010 to 2019. Data on six air pollutants (PM10, PM2.5, SO2, NO2, O3, and CO) in the study area were obtained from the Department of Environment Malaysia. Quasi-Poisson time series regressions with distributed lag non-linear models (DLNM) were applied to explore the associations between ambient air pollution and childhood hospitalisations for respiratory diseases. Stratification analyses were performed by gender and age group to identify the vulnerable populations. A 10 μg/m3 increased PM2.5 and SO2 was associated with hospital admissions for respiratory diseases among children with the greatest relative risk of RR 1.089 (95% CI 1.001-1.183) at cumulative lag 0-2 days and RR 1.229 (95% CI 1.073-1.409) at cumulative lag 0-6 days, respectively. There was no significant association between short-term exposure of PM10, NO2, CO, and O3 with childhood respiratory hospitalisation. The association between PM2.5 and SO2 exposure and hospital admissions for childhood respiratory diseases in the two pollutants model remained statistically significant. There were stronger associations in younger children aged 0-4 years and girls. This study reveals that short-term exposure to SO2 was associated with a higher risk of respiratory hospitalisations among children in Bintulu than PM2.5. Better air quality control is necessary for children's health living in the natural gas industrial area.
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Affiliation(s)
- Mohd Faiz Ibrahim
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000, Kuala Lumpur, Malaysia
| | - Rozita Hod
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000, Kuala Lumpur, Malaysia.
| | | | - Wan Rozita Wan Mahiyuddin
- Institute for Medical Research, National Institutes of Health, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, 40170, Shah Alam, Selango, Shah Alam, Selangor, Malaysia
| | - Azmawati Mohammed Nawi
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000, Kuala Lumpur, Malaysia
| | - Mazrura Sahani
- Center for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Zhou X, Gao Y, Wang D, Chen W, Zhang X. Association Between Sulfur Dioxide and Daily Inpatient Visits With Respiratory Diseases in Ganzhou, China: A Time Series Study Based on Hospital Data. Front Public Health 2022; 10:854922. [PMID: 35433609 PMCID: PMC9008542 DOI: 10.3389/fpubh.2022.854922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/01/2022] [Indexed: 12/21/2022] Open
Abstract
Background Sulfur dioxide (SO2) has been reported to be related to the mortality of respiratory diseases, but the relationship between SO2 and hospital inpatient visits with respiratory diseases and the potential impact of different seasons on this relationship is still unclear. Methods The daily average concentrations of air pollutants, including SO2 and meteorological data in Ganzhou, China, from 2017 to 2019 were collected. The data on daily hospitalization for respiratory diseases from the biggest hospital in the city were extracted. The generalized additive models (GAM) and the distributed lag non-linear model (DLNM) were employed to evaluate the association between ambient SO2 and daily inpatient visits for respiratory diseases. Stratified analyses by gender, age, and season were performed to find their potential effects on this association. Results There is a positive exposure-response relationship between SO2 concentration and relative risk of respiratory inpatient visits. Every 10 μg/m3 increase in SO2 was related to a 3.2% (95% CI: 0.6–6.7%) exaltation in daily respiratory inpatient visits at lag3. In addition, SO2 had a stronger association with respiratory inpatient visits in women, older adults (≥65 years), and warmer season (May-Oct) subgroups. The relationship between SO2 and inpatient visits for respiratory diseases was robust after adjusting for other air pollutants, including PM10, NO2, O3, and CO. Conclusion This time-series study showed that there is a positive association between short-term SO2 exposure and daily respiratory inpatient visits. These results are important for local administrators to formulate environmental public health policies.
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Affiliation(s)
- Xingye Zhou
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Yanfang Gao
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education, Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaokang Zhang
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
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Usmani RSA, Pillai TR, Hashem IAT, Marjani M, Shaharudin R, Latif MT. Air pollution and cardiorespiratory hospitalization, predictive modeling, and analysis using artificial intelligence techniques. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:56759-56771. [PMID: 34075501 DOI: 10.1007/s11356-021-14305-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/03/2021] [Indexed: 06/12/2023]
Abstract
Air pollution has a serious and adverse effect on human health, and it has become a risk to human welfare and health throughout the globe. One of the major effects of air pollution on health is hospitalizations associated with air pollution. Recently, the estimation and prediction of air pollution-based hospitalization is carried out using artificial intelligence (AI) and machine learning (ML) techniques, i.e., deep learning and long short-term memory (LSTM). However, there is ample room for improvement in the available applied methodologies to estimate and predict air pollution-based hospital admissions. In this paper, we present the modeling and analysis of air pollution and cardiorespiratory hospitalization. This study aims to investigate the association between cardiorespiratory hospitalization and air pollution, and predict cardiorespiratory hospitalization based on air pollution using the artificial intelligence (AI) techniques. We propose the enhanced long short-term memory (ELSTM) model and provide a comparison with other AI techniques, i.e., LSTM, DL, and vector autoregressive (VAR). This study was conducted at seven study locations in Klang Valley, Malaysia. The utilized dataset contains the data from January 2006 to December 2016 for five study locations, i.e., Klang (KLN), Shah Alam (SA), Putrajaya (PUJ), Petaling Jaya (PJ), and Cheras, Kuala Lumpur (CKL). The dataset for Banting contains data from April 2010 to December 2016, and the data for Batu Muda, Kuala Lumpur, contains data from January 2009 to December 2016. The prediction results show that the ELSTM model performed significantly better than other models in all study locations, with the best RMSE scores in Klang study location (ELSTM: 0.002, LSTM: 0.013, DL: 0.006, VAR: 0.066). The results also indicated that the proposed ELSTM model was able to detect and predict the trends of monthly hospitalization significantly better than the LSTM and other models in the study. Hence, we can conclude that we can utilize AI techniques to accurately predict cardiorespiratory hospitalization based on air pollution in Klang Valley, Malaysia.
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Affiliation(s)
- Raja Sher Afgun Usmani
- School of Computer Science and Engineering, Taylor's University, Subang Jaya, Selangor, Malaysia.
| | | | - Ibrahim Abaker Targio Hashem
- College of Computing and Informatics, Department of Computer Science, University of Sharjah, 27272, Sharjah, United Arab Emirates
| | - Mohsen Marjani
- School of Computer Science and Engineering, Taylor's University, Subang Jaya, Selangor, Malaysia
| | - Rafiza Shaharudin
- Environmental Health Research Centre, Institute for Medical Research, Ministry of Health Malaysia, Setia Alam, 40170, Shah Alam, Selangor, Malaysia
| | - Mohd Talib Latif
- Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
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8
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Ambient air pollution and cardiovascular disease rate an ANN modeling: Yazd-Central of Iran. Sci Rep 2021; 11:16937. [PMID: 34417486 PMCID: PMC8379244 DOI: 10.1038/s41598-021-94925-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 07/12/2021] [Indexed: 11/09/2022] Open
Abstract
This study was aimed to investigate the air pollutants impact on heart patient's hospital admission rates in Yazd for the first time. Modeling was done by time series, multivariate linear regression, and artificial neural network (ANN). During 5 years, the mean concentrations of PM10, SO2, O3, NO2, and CO were 98.48 μg m-3, 8.57 ppm, 19.66 ppm, 18.14 ppm, and 4.07 ppm, respectively. The total number of cardiovascular disease (CD) patients was 12,491, of which 57% and 43% were related to men and women, respectively. The maximum correlation of air pollutants was observed between CO and PM10 (R = 0.62). The presence of SO2 and NO2 can be dependent on meteorological parameters (R = 0.48). Despite there was a positive correlation between age and CD (p = 0.001), the highest correlation was detected between SO2 and CD (R = 0.4). The annual variation trend of SO2, NO2, and CO concentrations was more similar to the variations trend in meteorological parameters. Moreover, the temperature had also been an effective factor in the O3 variation rate at lag = 0. On the other hand, SO2 has been the most effective contaminant in CD patient admissions in hospitals (R = 0.45). In the monthly database classification, SO2 and NO2 were the most prominent factors in the CD (R = 0.5). The multivariate linear regression model also showed that CO and SO2 were significant contaminants in the number of hospital admissions (R = 0.46, p = 0.001) that both pollutants were a function of air temperature (p = 0.002). In the ANN nonlinear model, the 14, 12, 10, and 13 neurons in the hidden layer were formed the best structure for PM, NO2, O3, and SO2, respectively. Thus, the Rall rate for these structures was 0.78-0.83. In these structures, according to the autocorrelation of error in lag = 0, the series are stationary, which makes it possible to predict using this model. According to the results, the artificial neural network had a good ability to predict the relationship between the effect of air pollutants on the CD in a 5 years' time series.
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The Effects of Air Quality on Hospital Admissions for Chronic Respiratory Diseases in Petaling Jaya, Malaysia, 2013–2015. ATMOSPHERE 2021. [DOI: 10.3390/atmos12081060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
This study assesses the impact of a decrease in air quality and the risk of hospital admissions to a public hospital for chronic respiratory diseases for residents of Petaling Jaya, a city in the Greater Kuala Lumpur area in Malaysia. Data on hospital admissions for asthma, bronchitis, emphysema and other chronic obstructive pulmonary disease, weather conditions and the Malaysian Air Pollution Index, a composite indicator of air quality, were collated. An unconstrained distributed lag model to obtain risk of hospitalization for a 10 μg/m3 increase in the API. The lag cumulative effect for a 10 μg/m3 increase in the API was calculated to test for harvesting in the short term. Findings indicate that after an initial decrease in admissions (days 3 and 4), admissions increased again at day 7 and 8 and this relationship was significant. We therefore conclude that a 10 μg/m3 increase has a greater effect on admissions for respiratory health in the short term than a harvesting effect alone would suggest. These results suggest that while air quality is improving in the Greater Kuala Lumpur area, no level of air pollution can be deemed safe.
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Althuwaynee OF, Pokharel B, Aydda A, Balogun AL, Kim SW, Park HJ. Spatial identification and temporal prediction of air pollution sources using conditional bivariate probability function and time series signature. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:709-726. [PMID: 33159165 DOI: 10.1038/s41370-020-00271-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 09/17/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
Accurate identification of distant, large, and frequent sources of emission in cities is a complex procedure due to the presence of large-sized pollutants and the existence of many land use types. This study aims to simplify and optimize the visualization mechanism of long time-series of air pollution data, particularly for urban areas, which is naturally correlated in time and spatially complicated to analyze. Also, we elaborate different sources of pollution that were hitherto undetectable using ordinary plot models by leveraging recent advances in ensemble statistical approaches. The high performing conditional bivariate probability function (CBPF) and time-series signature were integrated within the R programming environment to facilitate the study's analysis. Hourly air pollution data for the period between 2007 to 2016 is collected using four air quality stations, (ca0016, ca0058, ca0054, and ca0025), situated in highly urbanized locations that are characterized by complex land use and high pollution emitting activities. A conditional bivariate probability function (CBPF) was used to analyze the data, utilizing pollutant concentration values such as Sulfur dioxide (SO2), Nitrogen oxides (NO2), Carbon monoxide (CO) and Particulate Matter (PM10) as a third variable plotted on the radial axis, with wind direction and wind speed variables. Generalized linear model (GLM) and sensitivity analysis are applied to verify and visualize the relationship between Air Pollution Index (API) of PM10 and other significant pollutants of GML outputs based on quantile values. To address potential future challenges, we forecast 3 months PM10 values using a Time Series Signature statistical algorithm with time functions and validated the outcome in the 4 stations. Analysis of results reveals that sources emitting PM10 have similar activities producing other pollutants (SO2, CO, and NO2). Therefore, these pollutants can be detected by cross selection between the pollution sources in the affected city. The directional results of CBPF plot indicate that ca0058 and ca0054 enable easier detection of pollutants' sources in comparison to ca0016 and ca0025 due to being located on the edge of industrial areas. This study's CBPF technique and time series signature analysis' outcomes are promising, successfully elaborating different sources of pollution that were hitherto undetectable using ordinary plot models and thus contribute to existing air quality assessment and enhancement mechanisms.
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Affiliation(s)
- Omar F Althuwaynee
- Department of Energy and Mineral Resources Engineering, Sejong University, 209 Neudong-ro Gwangjin-gu, Seoul, 05006, Republic of Korea
| | - Badal Pokharel
- School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, Australia
| | - Ali Aydda
- Department of Geology, Faculty of Sciences, Ibn Zohr University, B.P 8106, 80000, Agadir, Morocco
| | - Abdul-Lateef Balogun
- Geospatial Analysis and Modelling (GAM) Research Laboratory, Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, 32610, Perak, Malaysia.
| | - Sang-Wan Kim
- Department of Energy and Mineral Resources Engineering, Sejong University, 209 Neudong-ro Gwangjin-gu, Seoul, 05006, Republic of Korea
| | - Hyuck-Jin Park
- Department of Energy and Mineral Resources Engineering, Sejong University, 209 Neudong-ro Gwangjin-gu, Seoul, 05006, Republic of Korea
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11
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Jegasothy R, Sengupta P, Dutta S, Jeganathan R. Climate change and declining fertility rate in Malaysia: the possible connexions. J Basic Clin Physiol Pharmacol 2020; 32:911-924. [PMID: 33580644 DOI: 10.1515/jbcpp-2020-0236] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 10/04/2020] [Indexed: 12/24/2022]
Abstract
Climate change is an incessant global phenomenon and has turned contentious in the present century. Malaysia, a developing Asian country, has also undergone significant vicissitudes in climate, which has been projected with significant deviations in forthcoming decades. As per the available studies, climate changes may impact on the fertility, either via direct effects on the gonadal functions and neuroendocrine regulations or via several indirect effects on health, socioeconomic status, demeaning the quality of food and water. Malaysia is already observing a declining trend in the Total fertility rate (TFR) over the past few decades and is currently recorded below the replacement level of 2.1 which is insufficient to replace the present population. Moreover, climate changes reportedly play a role in the emergence and cessation of various infectious diseases. Besides its immediate effects, the long-term effects on health and fertility await to be unveiled. Despite the huge magnitude of the repercussion of climate changes in Malaysia, research that can explain the exact cause of the present reduction in fertility parameters in Malaysia or any measures to preserve the national population is surprisingly very scarce. Thus, the present review aims to elucidate the possible missing links by which climate changes are impairing fertility status in Malaysia.
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Affiliation(s)
- Ravindran Jegasothy
- Department of Obstetrics & Gynaecology, Faculty of Medicine, Bioscience and Nursing, MAHSA University, Kuala Lumpur, Malaysia
| | - Pallav Sengupta
- Department of Physiology, Faculty of Medicine, Bioscience and Nursing, MAHSA University, Kuala Lumpur, Malaysia
| | - Sulagna Dutta
- Department of Oral Biology & Biomedical Sciences, Faculty of Dentistry, MAHSA University, Kuala Lumpur, Malaysia
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Towards the Healthy Community: Residents’ Perceptions of Integrating Urban Agriculture into the Old Community Micro-Transformation in Guangzhou, China. SUSTAINABILITY 2020. [DOI: 10.3390/su12208324] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
In the renewal of old communities, one of the development directions is to improve health and enhance well-being. A healthy community includes four aspects of health, namely, healthy production, healthy lifestyle, healthy environment and ecosystem, and healthy physical and mental states of residents living in the community. Urban agriculture (UA), as a form of the community garden, is a supplementary form for the lack of production function in the urban community. It also has the potential to contribute to sustainable and resilient urban communities. This study focuses on analysing the health benefits of UA and attempts to identify old community residents’ attitudes and perceptions towards UA and understand their confusion and worry. The purpose of this study is to promote the healthy and sustainable development of old communities by integrating UA into the micro-transformation of old communities and provide planning and design strategies and community development ideas for the micro-transformation. Surveys were conducted on 10 old communities in Yuexiu district, located in Guangzhou, China. Statistical analysis was conducted using IBM Statistical SPSS version 26 to obtain information on the factor structure of residents’ perceptions towards the health benefits of UA. The analysis results showed significant differences between gender groups and the status of children on old community residents’ perceptions towards general UA benefits. The main factors accounting for old community residents’ perceptions towards the health benefits of UA were environmental health benefits, physical and psychological health benefits, and community health benefits. When developing UA in old communities, co-construction and co-sharing mode, public participation mode, and promotion mode are three important development strategies. Construction location, design style, and seasonal design are also critical for the construction of UA in old communities.
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Bonyadi Z, Arfaeinia H, Ramavandi B, Omidvar M, Asadi R. Quantification of mortality and morbidity attributed to the ambient air criteria pollutants in Shiraz city, Iran. CHEMOSPHERE 2020; 257:127233. [PMID: 32505953 DOI: 10.1016/j.chemosphere.2020.127233] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 05/11/2020] [Accepted: 05/25/2020] [Indexed: 05/28/2023]
Abstract
According to the epidemiological surveys, ambient air pollution has directly related to mortality and different diseases such as cardiovascular and respiratory defects. Among the atmospheric contaminants, criteria air ones (NO2, O3, PM2.5/10, SO2) demonstrated that have particular importance in the community disease. The overall goal of this paper was to study the impact of criteria air contaminants on the health of the inhabitants of Shiraz city, Iran. To accomplish this, the AirQ2.2.3 software was applied. The results of the study revealed that the annual average NO2, SO2, PM2.5, PM10, and O3 concentrations are 39.98, 27.6, 14.35, 46.16, and 120.03 μg/m3 in 2016 and 30.27, 23.97, 16.45, 51.65, and 52.58 μg/m3 in 2017. The total International Classification of Diseases (ICD), cardiovascular, and respiratory mortalities caused by air contaminants in Shiraz was predicted as 911, 628, and 182 cases in 2016, and 346, 370, and 82 cases in 2017, respectively. Sulfur dioxide (SO2) had the greatest rate of total mortality with the attributable equivalent of 4.3% in 2016, but this value has been decreased to 0.42% in 2017. The findings of this research revealed that air contamination has caused problems in Shiraz city according to the predicted results. The findings of this work provide useful data for regional and national health policymakers, who should take decisions to develop strategies for control air contaminants and estimate the cost-effectiveness of interventions.
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Affiliation(s)
- Ziaeddin Bonyadi
- Department of Environmental Health Engineering, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hossein Arfaeinia
- Department of Environmental Health Engineering, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran; Systems Environmental Health and Energy Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Bahman Ramavandi
- Department of Environmental Health Engineering, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran; Systems Environmental Health and Energy Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
| | - Mohsen Omidvar
- Department of Occupational Health Engineering, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran.
| | - Reza Asadi
- Department of Environment, Bushehr Branch, Islamic Azad University, Bushehr, Iran
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Shao X, Cheng H, Zhou J, Zhang J, Zhu Y, Yang C, Di Narzo A, Yu J, Shen Y, Li Y, Xu S, Zhang Z, Chen J, Cheng J, Hao K. Prenatal exposure to ambient air multi-pollutants significantly impairs intrauterine fetal development trajectory. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 201:110726. [PMID: 32480160 PMCID: PMC7363555 DOI: 10.1016/j.ecoenv.2020.110726] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 05/11/2020] [Accepted: 05/12/2020] [Indexed: 05/02/2023]
Abstract
BACKGROUND Impaired in utero fetal growth trajectory may have long term health consequences of the newborns and increase risk of adulthood metabolic diseases. Prenatal exposure to air pollution has been linked to fetal development restriction; however, the impact of exposure to ambient air pollutants on the entire course of intrauterine fetal development has not been comprehensively investigated. METHODS During 2015-2018, two cohorts of mother-infant dyads (N = 678 and 227) were recruited in Shanghai China, from which three categories of data were systematically collected: (1) daily exposure to six air pollutants during pregnancy, (2) fetal biometry in the 2nd (gestational week 24, [GW24]) and 3rd trimester (GW36), and (3) neonatal outcomes at birth. We investigated the impact of prenatal exposure to air pollutant mixture on the trajectory of fetal development during the course of gestation, adjusting for a broad set of potential confounds. RESULTS Prenatal exposure to PM2.5, PM10, SO2 and O3 significantly reduced fetal biometry at GW24, where SO2 had the most potent effect. For every 10 μg/m3 increment increase of daily SO2 exposure during the 1st trimester shortened femur length by 2.20 mm (p = 6.7E-21) translating to 5.3% reduction from the average of the study cohort. Prenatal air pollution exposure also decreased fetal biometry at GW36 with attenuated effect size. Comparing to the lowest exposed quartile, fetus in the highest exposed quartile had 6.3% (p = 3.5E-5) and 2.1% (p = 2.4E-3) lower estimated intrauterine weight in GW24 and GW36, respectively; however, no difference in birth weight was observed, indicating a rapid catch-up growth in the 3rd trimester. CONCLUSIONS To our knowledge, for the first time, we demonstrated the impact of prenatal exposure to ambient air pollutants on the course of intrauterine fetal development. The altered growth trajectory and rapid catch-up growth in associated with high prenatal exposure may lead to long-term predisposition for adulthood metabolic disorders.
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Affiliation(s)
- Xiaowen Shao
- Department of Obstetrics and Gynecology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Haoxiang Cheng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan Zhou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jushan Zhang
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Yujie Zhu
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Chun Yang
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Antonio Di Narzo
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jing Yu
- Department of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Yuan Shen
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Ecology and Environment, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Ecology and Environment, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhongyang Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jiajing Cheng
- Department of Obstetrics and Gynecology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China; College of Environmental Science and Engineering, Tongji University, Shanghai, China.
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15
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Borsi SH, Khanjani N, Nejad HY, Riahi A, Sekhavatpour Z, Raji H, Dastoorpoor M. Air pollution and hospital admissions due to deep vein thrombosis (DVT) in Ahvaz, Iran. Heliyon 2020; 6:e04814. [PMID: 32913913 PMCID: PMC7472851 DOI: 10.1016/j.heliyon.2020.e04814] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/25/2020] [Accepted: 08/25/2020] [Indexed: 11/25/2022] Open
Abstract
There are limited studies on the relation between short-term exposure to air pollutants and the risk of deep venous thrombosis (DVT). The aim of this study was to determine the relation between the concentration of these pollutants and the risk of hospital admissions due to DVT in Ahvaz, which is one of the world's highly polluted cities. Daily data on pollutants including O3, NO, NO2, SO2, CO, PM10, and PM2.5and DVT hospital admissions were collected from2008until 2018. Quasi-Poisson regression combined with linear distributed lag models; adjusted for trend, seasonality, temperature, relative humidity, weekdays, and holidays were used to assess the relation between the daily average of air pollutants and hospital admission for DVT. The results showed that there was a significant increase in hospital admissions due to DVT in the total, men, women, and elderly populations in relation to NO and NO2. There was also a significant increase in DVT hospital admissions in the male and ≤60 years populations related to PM10; and among the female and ≤60 years old populations, related to PM2.5. Finally, the results showed that there were significant positive associations between SO2 and CO exposure and the incidence of DVT hospital admissions among men and women, respectively. The results of this study show the possible effect of short-term exposure to air pollution on the risk of DVT. Further studies are required to investigate whether direct interventions through industry and government policy may alter the impact of specific pollutants in order to alter the incidence of DVT and other identified health complications.
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Affiliation(s)
- Seyed Hamid Borsi
- Department of Internal Medicine, Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Narges Khanjani
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Hamid Yazdani Nejad
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Atefeh Riahi
- Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Zohreh Sekhavatpour
- Department of Anesthesiology, School of Paramedicine, Dezful University of Medical Sciences, Dezful, Iran
| | - Hanieh Raji
- Department of Internal Medicine, Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maryam Dastoorpoor
- Department of Biostatistics and Epidemiology, Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Almetwally AA, Bin-Jumah M, Allam AA. Ambient air pollution and its influence on human health and welfare: an overview. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:24815-24830. [PMID: 32363462 DOI: 10.1007/s11356-020-09042-2] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 04/23/2020] [Indexed: 05/22/2023]
Abstract
Human health is closely related to his environment. The influence of exposure to air pollutants on human health and well-being has been an interesting subject and gained much volume of research over the last 50 years. In general, polluted air is considered one of the major factors leading to many diseases such as cardiovascular and respiratory disease and lung cancer for the people. Besides, air pollution adversely affects the animals and deteriorates the plant environment. The overarching objective of this review is to explore the previous researches regarding the causes and sources of air pollution, how to control it and its detrimental effects on human health. The definition of air pollution and its sources were introduced extensively. Major air pollutants and their noxious effects were detailed. Detrimental impacts of air pollution on human health and well-being were also presented.
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Affiliation(s)
- Alsaid Ahmed Almetwally
- Textile Engineering Department, Textile Research Division, National Research Centre, Dokki, Cairo, Egypt.
| | - May Bin-Jumah
- Biology Department, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Ahmed A Allam
- Department of Zoology, Faculty of Science, Beni-Suef University, Beni-Suef, 65211, Egypt
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An Optimized Hybrid Forecasting Model and Its Application to Air Pollution Concentration. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2020. [DOI: 10.1007/s13369-020-04572-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Impacts of Outdoor Air Pollution on Human Semen Quality: A Meta-Analysis and Systematic Review. BIOMED RESEARCH INTERNATIONAL 2020; 2020:7528901. [PMID: 32420369 PMCID: PMC7204269 DOI: 10.1155/2020/7528901] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 04/16/2020] [Indexed: 01/15/2023]
Abstract
Introduction Several studies have explored the association between outdoor air pollution and semen quality. However, the results were inconsistent. We performed the current meta-analysis to evaluate the role of outdoor air pollution in semen quality. Material and Methods. Databases including PubMed, Web of Science, and Embase were searched to identify relevant studies. Relative data in participants under higher exposure and lower exposure to air pollution were extracted. Pooled weighted mean differences (WMDs) with corresponding 95% confidence intervals (CIs) were utilized to assess the effects of outdoor air pollution on semen quality. In addition, trial sequential analyses (TSAs) were performed to obtain a more comprehensive assessment of analyses. Results A total of 11 studies with 4562 males were enrolled in the current meta-analysis. Higher air pollution levels were associated with significant decreases in semen volume (WMD: -0.16, 95% CI: -0.27 to -0.05), sperm concentration (WMD: -5.52, 95% CI: -9.88 to -1.16), progressive motility (WMD: -6.23, 95% CI: -11.64 to -0.81), total motility (WMD: -7.65, 95% CI: -14.09 to -1.20), and normal sperm morphology rate (WMD: -3.71, 95% CI: -5.59 to -1.82). In addition, the DNA fragmentation index significantly increased (WMD: 4.11, 95% CI: 1.94 to 6.29). Conclusions Air pollution is associated with decreased semen volume, sperm concentration, motility, and normal morphology rate.
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Chen C, Liu X, Wang X, Qu W, Li W, Dong L. Effect of air pollution on hospitalization for acute exacerbation of chronic obstructive pulmonary disease, stroke, and myocardial infarction. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:3384-3400. [PMID: 31845265 DOI: 10.1007/s11356-019-07236-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 12/02/2019] [Indexed: 05/03/2023]
Abstract
This study aims to analyze the acute effects of PM2.5, PM10, SO2, NO2, and O3 on hospitalizations for acute exacerbation of chronic obstructive pulmonary disease (AECOPD), stroke, and myocardial infarction (MI) from 2014 to 2017 in Shenyang, China. Hospitalization records for AECOPD (17,655), stroke (276,736) and MI (26,235) and air pollutions concentration data (PM2.5, PM10, SO2, NO2, and O3) were collected. A generalized additive model (GAM) was utilized to determine the impact of air pollutants on the relative risk (RR) of hospitalization for AECOPD, stroke, and MI. Stratified analysis for AECOPD was based on gender and age. It was based on gender, age, hypertension, and diabetes for stroke, and for MI it was based on gender, age, and coronary atherosclerosis. The lag effect for AECOPD in terms of gender analysis occurred at lag3-lag5. The hospitalization risk for stroke with hypertension due to SO2 and NO2 was greater than that of stroke without hypertension. The risk of hospitalization for stroke with hypertension as a comorbidity due to O3 was lower than without hypertension. The risk of hospitalization for MI combined with coronary atherosclerosis due to PM2.5, PM10, or NO2 was higher than that of hospitalizations for MI without coronary atherosclerosis. Air pollution increased the rate of hospitalization for AECOPD. SO2 and O3 appeared protective for stroke patients with coronary atherosclerosis. PM2.5, PM10, and NO2 had no influence on total hospitalization for myocardial infarction.
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Affiliation(s)
- Cai Chen
- Biomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, 250061, China
| | - Xuejian Liu
- The First General Internal Medicine, Shengjing Hospital, China Medical University, No.16 Puhe Road, Shenbei New District, Shenyang City, 110000, Liaoning Province, China
| | - Xianfeng Wang
- PFLMET Experimental Center, Shandong University, Jinan, People's Republic of China
| | - Wenxiu Qu
- The First General Internal Medicine, Shengjing Hospital, China Medical University, No.16 Puhe Road, Shenbei New District, Shenyang City, 110000, Liaoning Province, China.
| | - Wei Li
- Biomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
| | - Leilei Dong
- Biomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, 250061, China
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Zhang J, Cai Z, Yang B, Li H. Association between outdoor air pollution and semen quality: Protocol for an updated systematic review and meta-analysis. Medicine (Baltimore) 2019; 98:e15730. [PMID: 31096531 PMCID: PMC6531133 DOI: 10.1097/md.0000000000015730] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 04/25/2019] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Various studies have explored the association between outdoor air pollution and semen quality. However, the results were still controversial. The object of the current meta-analysis is to evaluate the role of outdoor air pollution in semen quality. METHODS Databases including PubMed, Web of Science, and Embase will be searched to identify qualified studies. All qualified cross-sectional studies researching the association between outdoor air pollution and sperm parameters will be included. Relative data in participants under higher exposure and lower exposure to air pollution will be extracted by 2 investigators independently. Only participants under the highest and the lowest exposure will be enrolled if the original study contained more than 2 exposure levels. The semen volume, sperm concentration, progressive motility, total motility, and normal morphology rate will be the primary outcomes of the current study. Pooled estimates with corresponding 95% confidence intervals will be calculated to assess the specific effects of outdoor air pollution in semen quality. Moreover, trial sequential analyses will be performed to obtain a more comprehensive assessment of analyses. RESULTS A high-quality synthesis of the current evidence for the association between sperm parameters and outdoor air pollution will be provided. CONCLUSIONS This meta-analysis and systematic review will generate evidence for judging whether outdoor air pollution can impair semen quality. PROSPERO REGISTRATION NUMBER PROSPERO CRD 42019126060.
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Affiliation(s)
- Jianzhong Zhang
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing
| | - Zhonglin Cai
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing
| | - Bin Yang
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Hongjun Li
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing
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