scholarly journals Health Risks Associated with Occupational Exposure to Ambient Air Pollution in Commercial Drivers: a Systematic Review

Author(s):  
Herve Lawin ◽  
Lucie Ayi Fanou ◽  
Antoine Vikkey Hinson ◽  
Marie Stolbrink ◽  
Parfait Houngbegnon ◽  
...  

Introduction: Ambient air pollution is major global health problem and commercial drivers are particularly exposed to it. No systematic assessment of the health risks associated with occupational exposure to ambient air pollution in this population has been carried out. Methods: We conducted a systematic review using a protocol-driven strategy. Papers published from inception to 20th April 2018 in MEDLINE, EMBASE, CINAHL, African journals online, Cochrane library, ISRCTN and WHO ICTRP databases were screened for inclusion by two independent reviewers. Original articles with at least an available abstract in English or French were included. Results: The initial search retrieved 1454 published articles of which 20 articles were included. 3 Studies reported a significant difference in white blood cells (106/L) among commercial motorcyclists compared to rural inhabitants (5.041±1.209 vs 5.900±1.213,p=0.001), an increased risk of lung cancer (RR=1.6, 95%CI 1.5-1.8) in bus drivers and an increased standardized mortality ratio (SMR) in bus drivers from Hodgkin’s lymphoma (SMR 2.17, 95%CI 1.19-3.87) compared to white collar workers. Other studies also found that drivers had more oxidative DNA damage and chromosome breaks. 4 papers failed to demonstrate that the drivers were more exposed to air pollution than the controls. 3 other studies also reported no significant difference in lung function parameters and respiratory symptoms. The genetic polymorphisms of detoxifying enzymes were not also homogeneously distributed compared to the controls. Conclusion: There is some evidence that occupational exposure to ambient air pollution among commercial drivers is associated with adverse health outcomes but the existing literature is limited with few studies of small sample size, methodological weaknesses and contradictory findings. Further research is recommended.

Author(s):  
Herve Lawin ◽  
Lucie Ayi Fanou ◽  
Antoine Hinson ◽  
Marie Stolbrink ◽  
Parfait Houngbegnon ◽  
...  

Ambient air pollution is a major global health problem and commercial drivers are particularly exposed to it. As no systematic assessment of the health risks associated with occupational exposure to ambient air pollution in this population had yet been carried out, we conducted a systematic review using a protocol-driven strategy. Papers published from inception to April 20, 2018 in MEDLINE, EMBASE, CINAHL, African journals online, the Cochrane library, ISRCTN WHO ICTRP, and the Web of Science and Scopus databases were screened for inclusion by two independent reviewers. Original articles with at least an available abstract in English or French were included. The initial search retrieved 1454 published articles of which 20 articles were included. Three studies reported a significant difference in white blood cells (106/L) among commercial motorcyclists compared to rural inhabitants (5.041 ± 1.209 vs. 5.900 ± 1.213, p = 0.001), an increased risk of lung cancer (RR = 1.6, 95%CI 1.5–1.8) in bus drivers and an increased standardized mortality ratio (SMR) in bus drivers from Hodgkin’s lymphoma (SMR 2.17, 95%CI 1.19–3.87) compared to white-collar workers. Other studies also found that drivers had more oxidative DNA damage and chromosome breaks. Four papers failed to demonstrate that the drivers were more exposed to air pollution than the controls. Three other studies also reported no significant difference in lung function parameters and respiratory symptoms. The genetic polymorphisms of detoxifying enzymes were also not homogeneously distributed compared to the controls. There is some evidence that occupational exposure to ambient air pollution among commercial drivers is associated with adverse health outcomes, but the existing literature is limited, with few studies on small sample size, methodological weaknesses, and contradictory findings—thus, further research is recommended.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Tanwi Trushna ◽  
Vikas Dhiman ◽  
Dharma Raj ◽  
Rajnarayan R. Tiwari

AbstractObjectivesAmbient air pollution (AAP) is an important risk factor for increased mental health morbidity. Studies have highlighted the effect of AAP on psychological stress and anxiety disorder. However, existing evidence regarding this is largely equivocal. This systematic review with meta-analysis aims to synthesize published evidence to calculate the pooled estimate of the effect of AAP on psychological stress and anxiety disorder.ContentA systematic bibliographic search was undertaken using PubMed, JGateplus, Google Scholar, and Cochrane Library for observational human studies published in English till 31st March 2020 reporting the effect of AAP on psychological stress and anxiety disorder. Study quality was assessed using the Joanna Briggs Institute critical appraisal tools. Meta-analysis was performed adopting a random-effects model using Meta-XL. Of 412 articles retrieved, a total of 30 articles [AAP and anxiety disorders, (n=17, 57%); AAP and psychological stress, (n=9, 30%) and AAP and both psychological stress and anxiety disorders, (n=4, 13%)] fulfilled the inclusion criteria covering a total population of 973,725 individuals. The pooled estimate (OR) of the effects of PM10 on psychological stress was 1.03 [(95% CI: 1.00, 1.05) (p=0.17, I2=41%)]. The pooled estimate of the effects of NO2 and PM10 on anxiety disorder was 0.93 [(95% CI: 0.89, 0.97) (p=0.91, I2=0%)] and 0.88 [(95% CI: 0.78, 0.98) (p=0.01, I2=59%)] respectively. The pooled estimate of the effects of PM2.5 on anxiety Disorder was 0.88 [(95% CI: 0.72, 1.06) (p=0.00, I2=80%)].Summary and OutlookThe present study provides the most updated pooled estimate of the effect of AAP on psychological stress and anxiety disorder. Future studies should focus on longitudinal studies conducted in LIC and LMIC countries using uniform and standardized criteria for exposure and outcome assessment as well as robust adjustment for confounders to minimize methodological heterogeneity resulting in reliable and comparable estimation of environmental mental health burden.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Christian Akem Dimala ◽  
Benjamin Momo Kadia ◽  
Anna Hansell

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


2018 ◽  
Vol 235 ◽  
pp. 576-588 ◽  
Author(s):  
Bo-Yi Yang ◽  
Zhengmin Qian ◽  
Steven W. Howard ◽  
Michael G. Vaughn ◽  
Shu-Jun Fan ◽  
...  

2020 ◽  
Vol 265 ◽  
pp. 114999 ◽  
Author(s):  
Sihan Huang ◽  
Xinyu Zhang ◽  
Jianfeng Huang ◽  
Xiangfeng Lu ◽  
Fangchao Liu ◽  
...  

Author(s):  
Sylvester Dodzi Nyadanu ◽  
Gizachew Assefa Tessema ◽  
Ben Mullins ◽  
Bernard Kumi-Boateng ◽  
Michelle Lee Bell ◽  
...  

Prenatal exposure to ambient air pollution and extreme temperatures are among the major risk factors of adverse birth outcomes and with potential long-term effects during the life course. Although low- and middle-income countries (LMICs) are most vulnerable, there is limited synthesis of evidence in such settings. This document describes a protocol for both an umbrella review (Systematic Review 1) and a focused systematic review and meta-analysis of studies from LMICs (Systematic Review 2). We will search from start date of each database to present, six major academic databases (PubMed, CINAHL, Scopus, MEDLINE/Ovid, EMBASE/Ovid and Web of Science Core Collection), systematic reviews repositories and references of eligible studies. Additional searches in grey literature will also be conducted. Eligibility criteria include studies of pregnant women exposed to ambient air pollutants and/or extreme temperatures during pregnancy with and without adverse birth outcomes. The umbrella review (Systematic Review 1) will include only previous systematic reviews while Systematic Review 2 will include quantitative observational studies in LMICs. Searches will be restricted to English language using comprehensive search terms to consecutively screen the titles, abstracts and full-texts to select eligible studies. Two independent authors will conduct the study screening and selection, risk of bias assessment and data extraction using JBI SUMARI web-based software. Narrative and semi-quantitative syntheses will be employed for the Systematic Review 1. For Systematic Review 2, we will perform meta-analysis with two alternative meta-analytical methods (quality effect and inverse variance heterogeneity) as well as the classic random effect model. If meta-analysis is infeasible, narrative synthesis will be presented. Confidence in cumulative evidence and the strength of the evidence will be assessed. This protocol is registered with PROSPERO (CRD42020200387).


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