A meta-analysis of selected near-road air pollutants based on concentration decay rates

Liu, Shi V.; Chen, Fu-lin; Xue, Jianping

doi:10.1016/j.heliyon.2019.e02236

Cited by 28 publications

(17 citation statements)

References 40 publications

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“…It should be noted that NO 2 exposure levels were strongly correlated with BC exposure levels ( r = 0.89), making it impossible to disentangle the effects of both pollutants. In urban settings, road traffic is the principal source of NO 2 and BC in ambient air [ 60 ]. We also observed a significant association between residential proximity to major roads and maternal biological stress in the 3rd pregnancy trimester in the unadjusted model, the significance slightly attenuated after adjustment of the model for season of sampling.…”

Section: Discussionmentioning

confidence: 99%

Residential exposure to air pollution and access to neighborhood greenspace in relation to hair cortisol concentrations during the second and third trimester of pregnancy

et al. 2021

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Background Exposure to air pollution during pregnancy has been associated with adverse pregnancy outcomes in studies worldwide, other studies have described beneficial effects of residential greenspace on pregnancy outcomes. The biological mechanisms that underlie these associations are incompletely understood. A biological stress response, which implies release of cortisol, may underlie associations of air pollution exposure and access to neighborhood greenspaces with health. Methods We explored residential exposure to air pollution and residential access to neighborhood greenspaces in relation to hair cortisol concentrations of participants in a prospective pregnancy cohort study in Flanders, Belgium. Hair samples were collected at the end of the second pregnancy trimester (n = 133) and shortly after delivery (n = 81). Cortisol concentrations were measured in 3-cm scalp-near hair sections, to reflect second and third pregnancy trimester cortisol secretion. We estimated long-term (3 months before sampling) residential exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2) and black carbon (BC), assessed residential distance to major roads and residential access to neighborhood greenspaces (NHGS). Associations between residential exposures and hair cortisol concentrations were studied using linear regression models while adjusting for season of sampling. Results Three-month mean residential NO2 and BC concentrations were positively associated with third pregnancy trimester hair cortisol concentrations (p = 0.008 and p = 0.017). Access to a large NHGS (10 ha or more within 800 m from residence) was negatively associated with third trimester hair cortisol concentrations (p = 0.019). Access to a large NHGS significantly moderated the association between residential proximity to major roads and second trimester hair cortisol concentrations (p = 0.021). Residential distance to major roads was negatively associated with second trimester hair cortisol concentrations of participants without access to a large NHGS (p = 0.003). The association was not significant for participants with access to a large NHGS. The moderation tended towards significance in the third pregnancy trimester (p < 0.10). Conclusions Our findings suggest a positive association between long-term residential exposure to air pollution and biological stress during pregnancy, residential access to neighborhood greenspaces may moderate the association. Further research is needed to confirm our results. Trial registration The IPANEMA study is registered under number NCT02592005 at clinicaltrials.gov.

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Section: Discussionmentioning

confidence: 99%

Residential exposure to air pollution and access to neighborhood greenspace in relation to hair cortisol concentrations during the second and third trimester of pregnancy

et al. 2021

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“…This meta-analysis study analyzed 29 primary studies that questioned the effect of GeoGebra software on math ability. Meta-analysis estimates general population effect sizes that are not known by analyzing a summary of the quantitative findings obtained in the primary study ( Cleophas and Zwinderman, 2017 ; Liu et al., 2019 ). This research was conducted using steps; first, inclusion criteria will be provided for studies included in the analysis.…”

Section: Methodsmentioning

confidence: 99%

A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go?

Juandi

Kusumah

Tamur³

et al. 2021

Heliyon

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Today, hundreds of studies on mathematics learning have been found in various literature, supported by the use of GeoGebra software. This meta-analysis aims to determine the overall effect of using GeoGebra software and the extent to which study characteristics moderate the study effect sizes to consider the implications later. This study analyzed 36 effect sizes from 29 primary studies identified from ERIC documents, Sage Publishing, Google Scholar, and repositories from 2010 to 2020, and a total of 2111 students. In order to support calculation accuracy, a Comprehensive Meta-analysis (CMA) software was used. The effect size is determined using the Hedges equation, with an acceptable confidence level of 95%. It is known that the overall effect size of using GeoGebra software on the mathematical abilities of students is 0.96 based on the estimation of the random-effect model, and the standard error is 0.08. These findings indicate that, on average, students exposed to GeoGebra-based learning outperformed math abilities, which was initially equivalent to 82% of students in traditional classrooms. This study considers the five characteristics of the study. It showed that the GeoGebra software used was more effective in sample conditions less than or equal to 30. Providing classrooms with sufficient numbers of computers allowed students to use them individually, which was necessary to achieve a higher level of effectiveness. GeoGebra software is more effective when the treatment duration is set to less than or equal to four weeks. These findings help educators consider the characteristics of studies that moderate effect sizes using the GeoGebra software in the future.

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“…It should be noted that NO 2 exposure levels were strongly correlated with BC exposure levels (r = 0.89), making it impossible to disentangle the effects of both pollutants. In urban settings, road tra c is the principal source of NO 2 and BC in ambient air [60]. We also observed a signi cant association between residential proximity to major roads and maternal biological stress in the 3 rd pregnancy trimester in the unadjusted model, the signi cance slightly attenuated after adjustment of the model for season of sampling.…”

Section: Discussionmentioning

confidence: 51%

Residential exposure to air pollution and access to neighborhood greenspace in relation to hair cortisol concentrations during the second and third trimester of pregnancy

Verheyen

Rémy²,

Lambrechts³

et al. 2021

Preprint

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Background: Exposure to air pollution during pregnancy has been associated with adverse pregnancy outcomes in studies worldwide, other studies have described beneficial effects of residential greenspace on pregnancy outcomes. The biological mechanisms that underlie these associations are incompletely understood. A biological stress response, which implies release of cortisol, may underlie associations of air pollution exposure and access to neighborhood greenspaces with health. Methods: We explored residential exposure to air pollution and residential access to neighborhood greenspaces in relation to hair cortisol concentrations of participants in a prospective pregnancy cohort study in Flanders, Belgium. Hair samples were collected at the end of the second pregnancy trimester (n = 133) and shortly after delivery (n = 81). Cortisol concentrations were measured in 3-cm scalp-near hair sections, to reflect second and third pregnancy trimester cortisol secretion. We estimated long-term (3 months before sampling) residential exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2) and black carbon (BC), assessed residential distance to major roads and residential access to neighborhood greenspaces (NHGS). Associations between residential exposures and hair cortisol concentrations were studied using linear regression models while adjusting for season of sampling.Results: Three-month mean residential NO2 and BC concentrations were positively associated with third pregnancy trimester hair cortisol concentrations (p = 0.008 and p = 0.017). Access to a large NHGS (10 hectares or more within 800 meters from residence) was negatively associated with third trimester hair cortisol concentrations (p = 0.019). Access to a large NHGS significantly moderated the association between residential proximity to major roads and second trimester hair cortisol concentrations (p = 0.021). Residential distance to major roads was negatively associated with second trimester hair cortisol concentrations of participants without access to a large NHGS (p = 0.003). The association was not significant for participants with access to a large NHGS. The moderation tended towards significance in the third pregnancy trimester (p < 0.10).Conclusions: Our findings suggest a positive association between long-term residential exposure to air pollution and biological stress during pregnancy, residential access to neighborhood greenspaces may moderate the association. Further research is needed to confirm our results.Trial registration: The IPANEMA study is registered under number NCT02592005 at clinicaltrials.gov.

show abstract

A meta-analysis of selected near-road air pollutants based on concentration decay rates

Cited by 28 publications

References 40 publications

Residential exposure to air pollution and access to neighborhood greenspace in relation to hair cortisol concentrations during the second and third trimester of pregnancy

Residential exposure to air pollution and access to neighborhood greenspace in relation to hair cortisol concentrations during the second and third trimester of pregnancy

A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go?

Residential exposure to air pollution and access to neighborhood greenspace in relation to hair cortisol concentrations during the second and third trimester of pregnancy

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