Noise pollution and human cognition: An updated systematic review and meta-analysis of recent evidence

Thompson, Rhiannon; Smith, Rachel B.; Karim, Yasmin Bou; Shen, Chen; Drummond, Kayleigh; Teng, Chloe; Toledano, Mireille B.

doi:10.1016/j.envint.2021.106905

Cited by 82 publications

(38 citation statements)

References 69 publications

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“…Similarly, some of the urban-related exposures are closely associated with other exposures not tested here that may also have an impact on PLE. For example, in addition to being a proxy for pollution, proximity to major roads may also be associated with noise pollution, which has been connected to schizophrenia in a work context ( 93 , 94 ), cognitive impairment ( 95 ), and behavioral problems in children ( 96 ).…”

Section: Discussionmentioning

confidence: 99%

Explaining the Association Between Urbanicity and Psychotic-Like Experiences in Pre-Adolescence: The Indirect Effect of Urban Exposures

Saxena

Dodell-Feder

2022

Front. Psychiatry

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Urban living is a growing worldwide phenomenon with more than two-thirds of people expected to live in cities by 2050. Although there are many benefits to living in an urban environment, urbanicity has also been associated with deleterious health outcomes, including increased risk for psychotic outcomes particularly when the urban exposure occurs in pre-adolescence. However, the mechanisms underlying this association is unclear. Here, we utilize one-year follow-up data from a large (N=7,979), nationwide study of pre-adolescence in the United States to clarify why urbanicity (i.e., census-tract population density) might impact psychotic-like experiences (PLE) by looking at the indirect effect of eight candidate urbanicity-related physical (e.g., pollution) and social (e.g., poverty) exposures. Consistent with other work, we found that of the evaluated exposures related to urbanicity, several were also related to increased number of PLE: PM2.5, proximity to roads, census-level homes at-risk for exposure to lead paint, census-level poverty, and census-level income-disparity. These same urban-related exposures were also related to the persistence of PLE after 1 year, but not new onset of PLE. Mediation analysis revealed that a substantial proportion the urbanicity-PLE association (number and persistence) could be explained by PM2.5 (23–44%), families in poverty (68–93%), and income disparity (67–80%). Together, these findings suggest that specific urban-related exposures contribute to the existence and maintenance, but not onset of PLE, which might help to explain why those in urban environments are disproportionately at-risk for psychosis and point toward areas for public health intervention.

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Section: Discussionmentioning

confidence: 99%

Explaining the Association Between Urbanicity and Psychotic-Like Experiences in Pre-Adolescence: The Indirect Effect of Urban Exposures

Saxena

Dodell-Feder

2022

Front. Psychiatry

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“…We calculated A-weighted equivalent continuous sound levels (L Aeq,T ) for each site and date of measurement. Energy-based long-term average metrics, such as day-evening-night weighted (L den ) and daytime (L day ) and night-time (L night ) noise levels are the mostly commonly used metrics in epidemiological studies and are robustly associated with a number of adverse health outcomes ( Basner and McGuire, 2018 ; Clark et al, 2020 ; Guski et al, 2017 ; Thompson et al, 2022 ; van Kamp et al, 2020 ; van Kempen et al, 2018 ). As well, our previous descriptive study, which combined audio recordings with a deep learning acoustic classifier, found that road-transportation was a prominent sound source identified across measurement sites.…”

Section: Methodsmentioning

confidence: 99%

“…Noise from anthropogenic activities is pervasive in urban settings and can have adverse effects on human health and wellbeing ( European Environment Agency, 2020 ; Hammer et al, 2014 ; Kang, 2017a ; World Health Organization, 2018 ). Epidemiolocal studies from cities in Europe and North America have shown that exposure to noise from road-, rail- and aircraft traffic sources can lead to a range health effects, including impacts on annoyance, sleep quality, cardiometabolic diseases, and impaired cognitive function ( Basner and McGuire, 2018 ; Guski et al, 2017 ; Münzel et al, 2021 ; Thompson et al, 2022 ; van Kempen et al, 2018 ; Vienneau et al, 2019 ). Modelling and mapping the spread of environmental noise, mostly in high-income cities, has revealed highly unequal distributions across and within cities, sometimes patterned by socioeconomic gradients ( Dale et al, 2015 ; Dreger et al, 2019 ; European Environment Agency, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Spatial modelling and inequalities of environmental noise in Accra, Ghana

Clark

Alli

Ezzati

et al. 2022

Environmental Research

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“…Finally, it was discovered by Caviola et al (2021) that pupils who attended schools near a busy city street fared worse. For further information, see Thompson et al (2022) and Nazneen et al (2022; as a result, H2 is presented as a hypothesis. Hypothesis 2 (H2).…”

Section: University Students' Academic Performance and Noise Exposurementioning

confidence: 99%

The Influence of Lighting, Noise, and Temperature on the Academic Performance of Students amid Covid-19 Pandemic

Hoang

Samara²,

Shannawi³

et al. 2022

IJLTER

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The Coronavirus outbreak disrupted the global economy and human social activities, including schooling. Because of the worldwide school closure, face-to-face lessons have been stopped. Students desire to participate in real-time online learning was not well understood when the Coronavirus outbreak occurred. Despite this, there has been a progressive return to face-to-face education accompanied by online learning after more than two years of the COVID-19 pandemic. This international survey assessed students' readiness for live online learning using technology rather than the more traditional online/internet self-efficacy scale. This study is needed because of the COVID-19 outbreak (dependent variable). Three hypotheses were substantiated with the partial least square method to develop a structural equation model containing all four variables. Students' grades were shown to be directly influenced by factors such as temperature, lighting, and noise. Three distinct elements influence university students' long-term viability (human resources). Males and females were found to have no statistically significant differences. We contend that during the Coronavirus pandemic, the gender disparity in learning was minimized because students were pushed to take greater responsibility for their education. Educators utilizing live online learning, particularly those educating students at various educational levels, can benefit greatly from this research. Students pursuing lower-level degrees should be encouraged to engage in more virtual activities and student-to-student relationships.

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Noise pollution and human cognition: An updated systematic review and meta-analysis of recent evidence

Cited by 82 publications

References 69 publications

Explaining the Association Between Urbanicity and Psychotic-Like Experiences in Pre-Adolescence: The Indirect Effect of Urban Exposures

Explaining the Association Between Urbanicity and Psychotic-Like Experiences in Pre-Adolescence: The Indirect Effect of Urban Exposures

Spatial modelling and inequalities of environmental noise in Accra, Ghana

The Influence of Lighting, Noise, and Temperature on the Academic Performance of Students amid Covid-19 Pandemic

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